Centre for Longitudinal Studies - Millennium Cohort Study (MCS) - Child of the New Century -Mortality
University College London (UCL) · Academic
In term In term in the September 2026 edition: the latest version runs to 7 May 2027.
- Reference
- DARS-NIC-147860-0RSHN
- Current version
- v6.2
- Term of current version
- 8 May 2026 to 7 May 2027
- Start date
- 30 November 2011
- Data controller
- Sole Data Controller
- Commercial purposes
- No
- Sublicensing
- Yes
- Files released to date
- 23
Why the data was released
Objective for processing
The Centre for Longitudinal Studies (CLS) at University College London (UCL) requires access to NHS England data to support the following research programme:
Millennium Cohort Study (MCS) - Child of the New Century
MCS is following the lives of around 19,000 young people born across England, Scotland, Wales and Northern Ireland in 2000-02.
MCS is renowned worldwide for the evidence it provides on children’s experience of growing up in the United Kingdom in the 21st Century. Since the study’s launch there have been seven attempts to re-contact and gather information from the whole cohort (at ages 9 months, 3 years, 5 years, 7 years, 11 years, 14 years and 17 years). The MCS covers diverse topics such as parenting; childcare; schooling and education (e.g. academic qualifications, vocational qualifications); daily activities and behaviour; cognitive development; child and parent mental and physical health; employment and education; income and poverty; housing, neighbourhood, and residential mobility; and social capital, ethnicity and identity.
The information collected in previous sweeps of the study has formed the high-quality data resource, that is MCS, for scientific investigation across the life course and domains. The seventh, Age 17 survey (2018-19) added to the data already collected in previous sweeps by updating information on current circumstances of the cohort and experiences they have had since the last sweep. In previous sweeps, schooling will have been the main activity common to the vast majority of cohort members.
CLS have access to NHS England data for the purpose of updating participant contact details and mortality information held on CLS systems and for the purpose of contacting participants and maximise involvement in future sweeps conducted within this study.
Identifiable Civil Registration Mortality and Demographics are requested in support of the following aims:
• Update participant's details on the CLS database with a view to 1) preventing seeking contact with those who have died and potentially causing distress to friends and relatives, and 2) preventing study resources from being wasted trying to contact individuals who have since emigrated outside of the UK.
• Understand the Mortality outcomes of the MCS cohort and investigate how individual behaviours and social or economic determinations of health behaviours such as drug and alcohol use, sexual health, diet and exercise may have influenced outcomes.
• Support further research within the CLS
• Support further research outside the CLS via sub licencing arrangements
The CLS has previously received data for the purposes of updating the study’s database to prevent contact with those who have died or emigrated only. The CLS now requests to use this data for research purposes, and to sublicence this data via the UKDS.
The requested data will be minimised as follows:
• Data is limited to the ~19,000 individuals included in the MCS cohort.
Where data is being shared within the CLS, or is being shared outside the CLS to support further research the data will be minimised on a project by project basis, this minimisation will be evaluated by the CLS Data Access Committee (DAC). The date of death will be de-identified as month and year, cause of death (ICD-10 codes) may be de-identified by truncation where needed.
The lawful basis for processing personal data under the UK GDPR is Article 6(1)(e) - processing is necessary for the performance of a task carried out in the public interest or in the exercise of official authority vested in the controller;
The lawful basis for processing special category data under UK GDPR is Article 9(2)(j) processing is necessary for archiving purposes in the public interest, scientific or historical research purposes or statistical purposes. CLS sought permission from the Confidentiality Advisory Group and obtained S251 approval to trace participants and to use their mortality data for research.
The funding is provided by the Economic and Social Research Council.
The University of Essex is a processor acting under the instructions of UCL. The University of Essex hosts the UKDS, their role is limited to storing the linked pseudonymised data and facilitating access to third-party researchers who have the necessary approvals and contractual measures in place required to access the data.
Substantive employees whose role supports the provision of the UKDS as a service are permitted to process the data. Should any researchers from the University of Essex wish to use the data deposited within the UKDS for research purposes they will be required to apply for access as per the process described in the ‘Sublicensing’ section below.
Amazon Web Services (AWS) is a processor acting under the instructions of UCL. AWS’ role is limited to secure backup of data stored in UCL’s Data Safe Haven.
UCL uses offsite data centre services provided by VIRTUS data centre. VIRTUS does not have access to the data.
****Sharing Data Within the CLS****
CLS researchers may request access to the pseudonymised mortality dataset disseminated under this Agreement for research purposes.
CLS researchers requesting access to the data must submit a CLS Data Access Application Form. The form requires that they provide general information about the project including its title, aims and data required. Applicants are required to demonstrate how the project provides a measurable benefit in the provision of health and social care in England.
Should the request be approved the following restrictions apply:
Access will be restricted to CLS researchers who meet the following requirements:
i. The researcher must be substantively employed in the CLS by UCL;
ii. The researcher must be registered with the UKDS;
iii. The researcher must have completed NHS England’s Data Security Awareness course;
iv. The researcher must have submitted a project proposal for review by the CLS Data Access Committee (DAC) and the CLS DAC must have approved the access request;
v. Once, approved, the researcher will sign a licence agreement with CLS and will then be granted access to the relevant subset of data via the UCL Data Safe Haven (DSH
Current proposed projects intend to:
- Document and monitor socio-economic, demographic and other inequalities in cause-specific mortality over time
- Understand the joint progress of morbidity and mortality and to what extend healthy life expectancy keeps pace.
- Investigate the links between mental health and cause specific mortality
- Investigate the links between early life circumstances, childhood characteristics and cause specific mortality.
****Sharing Data via the UKDS – Sublicensing ****
Non-CLS researchers may request access to a pseudonymised subset of the mortality data disseminated under this Agreement for research purposes. All access is via the UK Data Service (UKDS).
The process of accessing data, and the licence type under which data is accessed varies depending on the disclosivity of the data, the sensitivity of the data and the potential consequences of the misuse of data. Research data have been classified into ‘Tiers’ depending on how disclosive, sensitive and risky individual data items are. Full details of how the CLS classify data can be found in the ‘CLS Data Classification Policy’
https://cls.ucl.ac.uk/wp-content/uploads/2017/02/CLS_Data_Classification_Policy-1.pdf
** UKDS Special safeguarded data (Tier 1b)**
Special safeguarded data (Tier 1b) have a medium level of potential disclosure risk and/or sensitivity. Examples of mortality fields that fall within tier 1b include the fact of death and the month and year of death (mm/yyyy).
Tier 1b data is accessed via a UKDS Special Licence. A UKDS Special Licence may be granted to successful applicants based within the UK.
The process for access to Tier 1b data is as follows:
1. The researcher registers with the UKDS and signs the UKDS End User Licence Agreement.
2. Applicant submits and signs the UKDS Special Licence application form.
3. By signing the Special Licence application form the researcher agrees with the terms in the UKDS Research Data Handling and Security Guide for Users (https://ukdataservice.ac.uk/app/uploads/cd171-researchdatahandling.pdf)
4. The UKDS Data Access team screens the application to ensure it is properly completed.
5. The UKDS Data Access team sends the application form to CLS for approval by the Data Access Committee (CLS DAC). The CLS DAC have delegated to the CLS Research Data Management (RDM)* team the capability to evaluate and approve Special Licence data access requests. However, the RDM will seek advice and guidance from the Committee where novel issues arise.
6. A member of the CLS RDM team will assess the application on behalf of the CLS DAC and decide to approve it or request further information. The assessment is done against the CLS DAC assessment criteria set out in the CLS DAC Terms of Reference (https://cls.ucl.ac.uk/wp-content/uploads/2023/03/CLS_DAC_Terms_of_Reference.pdf). Should an application be rejected, a researcher can apply again with a revised application.
7. The CLS RDM team will inform UKDS that the project has been approved.
8. Special Licence-approved applications are reported at the next CLS DAC.
9. UKDS will inform the researcher that their project was approved and make the data available to them.
10. The researcher downloads the Special Licence data into their institutional server. Researchers must abide by the conditions laid out in the UKDS ‘Research Data Handling and Security Guide for Users’, which includes details of the individual and institutional penalties that are enforceable in the event of a breach of the conditions. They can only merge these data with CLS highly de-identified non-disclosive research data, which are also subject to UKDS Data Sharing Agreement terms and conditions.
*RDM follow the DAC Terms of Reference i.e. they are reviewing against the same criteria
**UKDS Controlled data (Tier 2)**
Controlled data (Tier 2) have a high level of potential disclosure risk (for example exact dates, detailed geographical indicators) and/or high sensitivity. Examples of mortality fields that fall within tier 2 include date of death (dd/mm/yyyy) and cause of death including clinical codes for the cause of death.
Tier 2 data is accessed via the UKDS SecureLab, which is the UKDS’ Trusted Research Environment (TRE). The UKDS SecureLab supports UK-based research projects only.
The process for access to Tier 2 data is as follows:
i. The researcher submits an application, including the UKDS 'Accredited Researcher application form', the 'Research proposal' and the “UCL Licence Agreement” to the UKDS.
ii. The UKDS Data Access team screens the application to ensure it is properly completed. Once it is, they forward the application to the CLS.
iii. The CLS Research Data Management (RDM) managers check the Organisational Information Governance and security assurance evidence provided in the “UCL Licence Agreement” and either requests further evidence to support the request or submits the application for CLS DAC approval.
iv. The CLS DAC assesses both project documents (UKDS project proposal and the “UCL Licence Agreement”) and decides whether to approve it, not approve it, or they require further information. CLS DAC considerations include an assessment of the expected benefits to health care, adult social care or the promotion of health. Should an application be rejected, a researcher can apply again with a revised application.
v. If the CLS DAC approves the project:
a. CLS RDM team informs UKDS that the project has been approved.
b. The CLS authorised representative signs the “UCL License agreement” and sends it back to the UKDS to be forwarded to the researcher.
vi. UKDS informs the researcher that their project was approved; sends them a countersigned copy of the “UCL Licence Agreement”
vii. UKDS makes the data available to the researcher via theUKDS SecureLab account via Multi Factor Authentication. ,
viii. The data will be provided to the researcher via their own UKDS SecureLab project folder, which will contain only the data that the researcher needs to see for their project. The research-linked data provided to researchers are pseudonymised and de-identified, and will never contain identifiable information such as name, address, date of birth, NHS or NI number.
ix. The researcher accessing the data via the UKDS SecureLab will not be able to download any data into their own institutional server. Once the researcher has finished their research, the UKDS will delete the data folder with the tailored dataset for the specific project.
x. Strict disclosure control checks are carried out by the UKDS before any research outputs, e.g. publication, can be extracted from the UKDS SecureLab account.
xi. CLS DAC will publish the information about any data dissemination on the CLS website, including the name of the organisation to which data was provided, purpose (summary of the project) and what data was released. (NB: If CLS DAC does not approve the project, no data will be disseminated). https://cls.ucl.ac.uk/data-access-training/data-access/
Processing activities
** Data linkage **
The CLS will supply NHS England with a file of around 19,000 study members to match to NHS data.
The file supplied will contain all cohort members who have ever participated in the study (excluding those who have requested the study to stop using their data).
Participants can;
a) withdraw from a specific data collection sweep of the study (in which case they would still be invited to take part in future sweeps of the study)
b) permanently withdraw from the study (in which case they will not be invited to take part in any future sweeps of the study) or
c) permanently withdraw from the study AND request that the data can no longer be used.
The file will contain the following items:
-CLS ID
-First name
-Last name
-Middle name (where available)
-Sex
-Date of birth
-Postcode
-NHS number (where available)
Following data linkage, NHS England will supply the following details to CLS:
- CLS identifier
- NHS Number
- Forename of the deceased
- Latest middle name (where available),
-Surname of the deceased
- Date of birth
-Date of death
-Fact of death
-Cause of death
- Gender
- Town of birth
-Address
- Date of address registration or update
-Other variables as chosen in the Civil Registration and Demographic dataset.
UCL may transfer copies of variables received from NHS England to Digital Health and Care Wales (DHCW) to process on behalf of University of Bristol for the purposes of obtaining linked data from NHS England which will be available to University of Swansea and other authorised parties through the UK Longitudinal Linkage Collaboration (UKLLC). The specific variables which UCL may share with DHCW are:
- NHS Number
- Date Of Birth
- Gender
- Postcode
As controller, UCL must ensure there are documented instructions setting out the specific details of the processing that DHCW will undertake its behalf. This must include arrangements for permanent deletion of the data and confirmation of such at the appropriate times.
At CLS, the identifiable data received under this agreement will be used to validate the information of the cohort on CLS's cohort maintenance database (meaning names and addresses are used to ensure the correct cohort member has passed away or emigrated). These identifiable data will not be made available to researchers.
The pseudonymised mortality data will be linked to the pseudonymised survey data and therefore will be linked to the survey data for research by the CLS Research Data Management team.
Researchers applying to use the survey linked to mortality data may also apply to use the linked data in combination with other datasets including Hospital Episode Statistics (HES) held by the study under DARS-NIC-384504-N2V5B-v3.
***Access by the study operational teams and the wider CLS***
All data being accessed by the study team and the wider CLS is stored on the UCL Data Safe Haven (DSH).
Amazon Web Services provides cloud hosting services to UCL and will store the data as contracted by UCL.
UCL uses offsite data centre services provided by VIRTUS data centre. VIRTUS does not have access to the data.
Access to the UCL DHS is via remote access. For remote access:
- Remote access will only be from secure locations situated within the territory of use (as further restricted elsewhere within the DSA if so done) stated within this DSA;
- Access controls granting users the minimum level of access required are in place;
- Remote access is only via secure connections (e.g., VPNs or secure protocols) to protect data;
- Multifactor authentication (MFA) is required for remote access;
- Device security, including up-to-date software and operating systems, antivirus software, and enabled firewalls are utilised for the remote access;
- All remote access is undertaken within the scope of the organisation’s DSPT (or other security arrangements as per this DSA) and complies with the organisation’s remote access policy.
Remote processing will be from secure locations within the UK. The data will not leave the UK at any time.
Access to data held on the UCL DSH is restricted to the direct study team, and other individuals employed by UCL in the CLS who have received approval from the CLS DAC to access the data.
***Access by Sublicensees***
Access to data via sublicence depends on the tier the data falls under.
** UKDS Special safeguarded data (Tier 1b)**
The data will be stored on servers at the UK Data Archive based at the University of Essex. The UK Data Archive will store the pseudonymised analysis file only.
Subject to approval by the CLS DAC and obtaining a UKDS Special Licence, researchers receive data and work on their institutional servers.
Access is restricted to researchers who have received authorisation from CLS DAC and have obtained a UKDS Special Licence for their specific project.
This data dissemination includes the following safeguards:
i. Data transfers are made securely e.g. encrypted.
ii. The data will be used for database update and statistical research purposes and will not involve any direct decision-making about the health or treatment of a participant
iii. Data are stored in secure environments certified to ISO 27001 and/or a ‘Standards Met’ DSP Toolkit. (this is true about the data we receive from you).
iv. Data are only accessed in pseudonymised form and treated for disclosure if necessary.
v. Data will not be shared outside of the UK at any time.
** UKDS Controlled data (Tier 2)** **
The data will be stored on servers at the UK Data Archive based at the University of Essex. The UK Data Archive will store the pseudonymised analysis file only.
Subject to approval by the CLS, the UKDS will make data available to researchers via the UKDS Secure Lab.
The Data will be accessed via remote access. For remote access:
- Remote access will only be from secure locations situated within the territory of use (as further restricted elsewhere within the DSA if so done) stated within this DSA;
- Access controls granting users the minimum level of access required are in place;
- Remote access is only via secure connections (e.g., VPNs or secure protocols) to protect data;
- Multifactor authentication (MFA) is required for remote access;
- Device security, including up-to-date software and operating systems, antivirus software, and enabled firewalls are utilised for the remote access;
- All remote access is undertaken within the scope of the organisation’s DSPT (or other security arrangements as per this DSA) and complies with the organisation’s remote access policy.
Remote processing will be from secure locations within the UK. The data will not leave the UK at any time.
Access is restricted to researchers who have received authorisation from CLS DAC for their specific project.
All personnel accessing the data have been appropriately trained in data protection and confidentiality.
This data dissemination includes the following safeguards:
i. Linkages are covered by the Section 251 support (use of mortality data for research projects)
ii. Identifying variables are held separately from the survey responses, including during the matching process.
iii. Data transfers are made securely e.g. encrypted.
iv. The data will only be used for database update and statistical research purposes and will not involve any direct decision-making about the health or treatment of a participant
v. Data are stored in secure environments certified to ISO 27001 and/or a ‘Standards Met’ DSP Toolkit.
vi. Data are only accessed in pseudonymised form and treated for disclosure if necessary.
vii. Data are accessed via the receiving organisation's secure environment.
viii. Disclosure control checks are carried out before any research publication.
Data will not be shared outside of the UK at any time.
Expected output
The scientific priorities and questionnaire content will be elaborated and developed in consultation with the academic and policy community with the aim of collecting both information relevant to their lives at age 22 and to later life outcomes, as well as repeat measures of topics covered at age 17. CLS will continue to prospectively harmonise the content with other comparable cohorts, particularly those in the UK, by drawing on comparable measures at a similar age. All surveys are overseen by the CLS Strategic Advisory Board (SAB) which contains representatives from UKRI, Wellcome Trust, Medical Research Council, the scientific community and government departments. The SAB provide high level strategic oversight for CLS to ensure the cohort studies led by the centre are developed, managed and maintained in a manner that maximises their benefit as long-term scientific resources of importance both nationally and internationally, while protecting participants’ interests The SAB ensure that the content is closely aligned with research priorities, as well as the areas of research interest (ARIs) published by government departments. CLS will reflect these priorities when deciding on the major themes which CLS intend to cover at the next sweep collection at age 22 provisionally planned to take place in 2021.
CLS will continue to produce outputs from the study via the UK Data Service in the form of aggregated report for the benefit of the wider research community as previous interest in MCS data has proven to be sought in a large scope of research areas. CLS will also publish papers in a range of journals; however it is not possible to provide detail at this point as to precisely which journals and dates, but the intention is to produce outputs along the same lines as those produced after the previous sweep.
This information has been used to prevent us from seeking to contact those who have died and thus potentially causing distress to family and friends. Information on exit/entries from NHS England have prevented us from using resources contacting individuals who are no longer in Great Britain. The demographic data has been used to update CLS ‘s database with new addresses which have been used to maintain contact with study members e.g to send them a special birthday mailing for their birthday and then later to invite them to take part in the future surveys.
Expected measurable benefits
The study produces rich, longitudinal, policy-relevant data, currently unavailable elsewhere, for a large, representative sample of children/young adults. MCS data is widely used by policy makers to evaluate and develop policy and improve services for young people and also by academic researchers to chart and understand social change. The information provided by cohort members provides valuable evidence for the research and policy community about the cohort's transitions to education/work and into early adult life. To enhance the research resource for secondary users, a fully documented, pseudonymised dataset collected at age 17 was archived at the UK Data Service.
The upcoming MCS Age 22 and previous age 17 survey data will enrich the already deposited data for the cohort (waves 1 to 6) and is expected to be particularly valuable for the research community, including researchers in health and social care, providing rich survey data on a range of different domains of young people's lives. Particularly beneficial is the opportunity for a life course approach and to follow young people's experiences over time to analyse later life outcomes.
MCS data is a resource with great potential for the research and policy community, and the information collected on health and its social determinants widens its potential value for health research and policy interventions. Through the set up at the UK Data Service, researchers are able to apply and carry out research utilising the established link to benefit health and social care.
The cohort members' health is an important aspect in the Age 17 Sweep. Cohort members were asked a range of questions about their physical and emotional health and wellbeing. There is, however, a great deal more information about potential underlying determinants, in this and the earlier sweeps of MCS, available for researchers via the UKDS.
Below are some examples of existing publications using MCS data.
Light drinking in pregnancy, a risk for behavioural problems and cognitive deficits at 3 years of age? (2009) by Yvonne Kelly, Amanda Sacker, Ron Gray, John Kelly, Dieter Wolke and Maria Quigley
Light drinking during pregnancy: still no increased risk for socioemotional difficulties or cognitive deficits at 5 years of age? (2010) by Yvonne Kelly, Amanda Sacker, Ron Gray, John Kelly, Dieter Wolke, Jenny Head and Maria Quigley
Light drinking versus abstinence in pregnancy -behavioural and cognitive outcomes in 7-year-old children: a longitudinal cohort study (2013) by Yvonne Kelly, Maria Iacovou, Maria Quigley, Ron Gray, Dieter Wolke, John Kelly and Amanda Sacker
Prevalence of maternal smoking and environmental tobacco smoke exposure during pregnancy and impact on birth weight: retrospective study using Millennium Cohort (2007) by Corinne Ward, Sarah Lewis and Tim Coleman
Breastfeeding and Hospitalization for Diarrheal and Respiratory Infection in the United Kingdom Millennium Cohort Study (2007) by Yvonne Kelly, Yvonne Kelly and Amanda Sacker
Breastfeeding is Associated with Improved Child Cognitive Development: A Population-Based Cohort Study (2012) by Maria Quigley, Christine Hockley, Claire Carson, Yvonne Kelly, Mary Renfrew and Amanda Sacker
Breastfeeding and child cognitive outcomes: evidence from a hospital-based breastfeeding support policy (2012) by Emilia Del Bono and Birgitta Rabe.
Breast feeding and child behaviour in the Millennium Cohort Study (2011) by Katriina Heikkila, Amanda Sacker, Yvonne Kelly, Mary Renfrew and Maria Quigley
Breastfeeding and developmental delay: Findings from the Millennium Cohort Study (2006) by Amanda Sacker, Maria Quigley and Yvonne Kelly.
AGGIO, D, SMITH, L and HAMER, M. (2017) Early life cognitive function and health behaviours in late childhood:testing the neuroselection hypothesis. Journal of Epidemiology & Community Health, 72(1), 41-46.
AGGIO,D, GARDNER,B, ROBERTS,J, JOHNSTONE,J, STUBBS,B, WILLIAMS,G, LOPEZ-SANCHEZ,G.F and SMITH,L. (2017) Correlates of children's independent outdoor play: Cross-sectional analyses from the Millennium Cohort Study.Preventive Medicine Reports, 8, 10-14.
AHN, J, CUMMINS, S and FLOURI, E. (2016) Physical activity, sedentary behaviour and mental health in children:
findings from the UK Millennium Cohort Study. Journal of Epidemiology & Community Health, 70(Suppl 1), A36.
AHN, J, SERA, F, CUMMINS, S and FLOURI, E. (2018) Associations between objectively-measured physical activity and later mental health outcomes in children: Findings from the UK Millennium Cohort Study. Journal of
Epidemiology & Community Health, 72(2), 94-100.
ALFO, M, MARINO, M.F, RANALLI, M.G and SALVATI, N. (2016) Multivariate M-quantile regression for longitudinal data: analysis of the Millennium Cohort Study data. Cornell University Report, 23 Dec 2016. Ithaca, NY: Cornell
University.
ALTERMAN, N, KURINCZUK, J.J and QUIGLEY, M.A. (2016) OP45 The association between mode of delivery and infectious disease in the infant -Evidence from the UK Millennium Cohort Study. Journal of Epidemiology and Community Health, 70, A28.
AMOS, R, MANALASTAS, E.J, WHITE, R, BOS, H and PATALAY, P. (2019) Mental health, social adversity, and health related outcomes in sexual minority adolescents: a contemporary national cohort study. Lancet Child and Adolescent Health,4(1), 36-45.
Benefits reported so far
MCS has provided important evidence to show how circumstances in the very first stages of life can influence later health and development.
Research based on MCS has shown that the likelihood of being breastfed is affected by which day in the week a child is born, which has strong subsequent effects on cognitive development.
The study has contributed crucial evidence on two major health issues facing this generation; the high rates of both mental-ill health and obesity among this age group, now in their teens.
Mental Health study:
New research using information from MCS shows a quarter of girls (24%) and one in 10 boys (9%) are depressed at age 14. Researchers from the UCL Institute of Education and the University of Liverpool analysed information on more than 10,000 children born in 2000-01 who are taking part in the Millennium Cohort Study.
At ages 3, 5, 7, 11 and 14, parents reported on their children’s mental health. Then, when they reached 14, the children were themselves asked questions about their depressive symptoms. Based on the 14-year-olds reporting of their emotional problems, 24 per cent of girls and 9 per cent of boys suffer from depression.
The research, published with the National Children’s Bureau, also investigated links between depressive symptoms and family income. Generally, 14-year-olds from better-off families were less likely to have high levels of depressive symptoms compared to their peers from poorer homes. Parents’ reports of emotional problems were roughly the same for boys and girls throughout childhood, increasing from 7 per cent of children at age 7 to 12 per cent at age 11. However, by the time they reached early adolescence at age 14, emotional problems became more prevalent in girls, with 18 per cent having symptoms of depression and anxiety, compared to 12 per cent of boys. Behaviour problems, such as acting out, fighting and being rebellious decreased from infancy to age 5, but then increased to age 14. Boys were more likely than girls to have behaviour problems throughout childhood and early adolescence.
As 14-year-olds’ own reports of their emotional problems were different to their parents’, this research highlights the importance of considering young people’s views on their own mental health.
Obesity study:
One in five young people born in the UK at the turn of the century was obese by the age of 14, and a further 15 per cent were found to be overweight. Researchers from the Centre for Longitudinal Studies (CLS) at the UCL Institute of Education analysed information on more than 10,000 teenagers who are taking part in the Millennium Cohort Study. These latest findings reinforce the importance of plans from UK governments to tackle the childhood obesity epidemic over the coming years. In response to public concern over childhood obesity, the most significant steps in recent government policy include the introduction of a levy on added sugar in soft drinks in April 2018, and a programme to reduce sugar across a range of products by 20 per cent by 2020, alongside reductions in salt and saturated fat. The report from CLS, which is published with a briefing paper on Thursday (7 December), reveals that although the same proportion of boys and girls were obese (20%), rates of overweight were slightly higher for girls (16%) than boys (13%). Rates of excess weight varied by country, with almost 40 per cent of young people in Northern Ireland overweight or obese, compared to 38 per cent in Wales, and 35 per cent in both Scotland and England. There was a clear link between young people’s weight and their mothers’ level of education. Almost 40 per cent of 14-year-olds whose mothers had only GCSE qualifications were overweight or obese, compared to 26 per cent of those whose mothers had a degree or higher qualifications. In addition, children who were breastfed as infants, and those whose parents owned their home, had lower odds of being overweight and obese at age 14.
The researchers also analysed information on children’s height and weight at ages 3, 5, 7, 11 and 14, to uncover patterns of weight gain across childhood. They found that rates of overweight and obesity increased slightly from ages 3 to 7, but rose significantly at age 11, from 25 per cent to 35 per cent, with this increase being especially strong among boys. By age 14, however, they discovered that rates of excess weight had stabilised. While boys were slightly less likely to have become overweight and obese than to have become a normal weight by age 14, for girls the opposite was the case.
Below are examples of existing publications using the Millennium Cohort Study data benefiting public health.
Smoking in pregnancy:
Several studies based on MCS have looked at how smoking during pregnancy relates to children's development. One group of researchers found that babies with mothers who smoked at any point while they were pregnant weighed on average 146 grams less when they were born (around the weight of a smartphone) than babies with mums who did not smoke. Overall, the more cigarettes a mother smoked a day, the less her baby weighed at birth.
Babies with mothers whose partners smoked around them while they were pregnant also weighed on average 36 grams less (about the weight of a chocolate bar) than those with mothers who were not exposed to smoke.
Another research study has suggested that children are more likely to have behaviour problems at age 3 if their mothers smoke while they are pregnant.
Breastfeeding and child health:
An influential study found that babies who were breastfed in the first months of their lives were less likely to go to hospital for diarrhoea or respiratory problems, such as infections and pneumonia. The researchers estimated that half of hospital stays for diarrhoea, and a quarter of stays for respiratory problems, could be prevented every month if all babies in the UK were fed entirely on breast milk for at least six months.
Breastfeeding and child development:
Between ages 3 and 7 MCS children took part in a range of activities to show which words they knew and the patterns they could identify in shapes and images. Studies have found that children who were breastfed tended to do better in these exercises and to have less behaviour problems.
Research has also suggested that there is a relationship between breastfeeding and young children's ability to coordinate the movements of their arms and legs and to reach milestones such as standing up for the first time and taking their first steps.
Latest research done using MCS data available via the CLS website here: https://cls.ucl.ac.uk/cls-studies/millennium-cohort-study/
https://cls.ucl.ac.uk/news/?s=&topic=&study=millennium-cohort-study&from=All+dates&to=All+dates&sortby=DESC
Datasets on the current version
Legal basis for provision: Health and Social Care Act 2012 - s261(5)(d); National Health Service Act 2006 - s251 - 'Control of patient information'.; Health and Social Care Act 2012 - s261(5)(d)
| Dataset | Type of data | Sensitivity | Frequency | Confidential data |
|---|---|---|---|---|
| Civil Registrations of Death | Identifiable | Sensitive | One-Off | Section 251 NHS Act 2006 |
| Demographics | Identifiable | Sensitive | One-Off | Section 251 NHS Act 2006 |
| MRIS - Cause of Death Report | Identifiable | Sensitive | Ongoing | Section 251 NHS Act 2006 |
| MRIS - Cohort Event Notification Report | Identifiable | Sensitive | Ongoing | Section 251 NHS Act 2006 |
| MRIS - Flagging Current Status Report | Identifiable | Sensitive | One-Off | Section 251 NHS Act 2006 |
| MRIS - Members and Postings Report | Identifiable | Sensitive | One-Off | Section 251 NHS Act 2006 |
Files released
Files released counts only files released externally by DARS. Access granted in NHS England's own systems, such as its Secure Data Environment, is not included.
This agreement permits sublicensing: the applicant may pass data on to others. Anything passed on is not recorded in this register.
Patient opt-outs were applied to all 23 files released under this agreement, across every version. About opt-outs
Files released against version 6.2 of this agreement, summarised by dataset.
| Dataset | Files | First released | Last released | Opt-outs applied |
|---|---|---|---|---|
| Civil Registrations of Death | 1 | June 2026 | June 2026 | Yes |
| Demographics | 1 | June 2026 | June 2026 | Yes |
Version history
The register lists each renewal of this agreement as a separate row. This site has 7 versions.
DARS-NIC-147860-0RSHN-v6.2 8 May 2026 to 7 May 2027
- Title
- Centre for Longitudinal Studies - Millennium Cohort Study (MCS) - Child of the New Century -Mortality
- Commercial
- No
- Sublicensing
- Yes
- Datasets
- 6
- Files released
- 2
Datasets: Civil Registrations of Death; Demographics; MRIS - Cause of Death Report; MRIS - Cohort Event Notification Report; MRIS - Flagging Current Status Report; MRIS - Members and Postings Report
What changed from DARS-NIC-147860-0RSHN-v5.2
Text removed is struck through; text added is underlined. Unchanged paragraphs are summarised rather than repeated.
| Field | Was | Became |
|---|---|---|
| Start date | 2026-05-08 | |
| End date | 2027-05-07 | |
| Demographics: legal basis | Health and Social Care Act 2012 - s261(5)(d) |
Objective for processing
[2 paragraphs unchanged]
MCS is following the lives of around
19000
19,000
young people born across England, Scotland, Wales and Northern Ireland in 2000-02.
MCS is renowned worldwide for the evidence it provides on children’s experience
[46 words unchanged]
The MCS covers diverse topics such as parenting; childcare; schooling and education
(e.g
(e.g.
academic qualifications, vocational qualifications); daily activities and behaviour; cognitive development; child and
[10 words unchanged]
poverty; housing, neighbourhood, and residential mobility; and social capital, ethnicity and identity.
[11 paragraphs unchanged]
UCL is the data controller as the organisation responsible for ensuring that the data will only be processed for the purpose described above.
[4 paragraphs unchanged]
Only substantive
Substantive
employees whose role supports the provision of the UKDS as a service
[32 words unchanged]
for access as per the process described in the ‘Sublicensing’ section below.
[53 paragraphs unchanged]
Processing activities
[31 paragraphs unchanged]
The identifiable data received under this agreement will be used to validate the information of the cohort on CLS's cohort maintenance database (meaning names and addresses are used to ensure the correct cohort member has passed away or emigrated). These identifiable data will not be linked to any other data, and it will not be made available to researchers.
UCL may transfer copies of variables received from NHS England to Digital Health and Care Wales (DHCW) to process on behalf of University of Bristol for the purposes of obtaining linked data from NHS England which will be available to University of Swansea and other authorised parties through the UK Longitudinal Linkage Collaboration (UKLLC). The specific variables which UCL may share with DHCW are:
- NHS Number
- Date Of Birth
- Gender
- Postcode
As controller, UCL must ensure there are documented instructions setting out the specific details of the processing that DHCW will undertake its behalf. This must include arrangements for permanent deletion of the data and confirmation of such at the appropriate times.
At CLS, the identifiable data received under this agreement will be used to validate the information of the cohort on CLS's cohort maintenance database (meaning names and addresses are used to ensure the correct cohort member has passed away or emigrated). These identifiable data will not be made available to researchers.
[50 paragraphs unchanged]
Benefits reported
[3 paragraphs unchanged]
Mental Health
study
study:
[4 paragraphs unchanged]
Obesity
study
study:
[3 paragraphs unchanged]
Smoking in
pregnancy
pregnancy:
[3 paragraphs unchanged]
Breastfeeding and child
health
health:
[1 paragraph unchanged]
Breastfeeding and child
development
development:
[2 paragraphs unchanged]
Latest research done using MCS data available via the CLS website here: https://cls.ucl.ac.uk/cls-studies/millennium-cohort-study/
https://cls.ucl.ac.uk/news/?s=&topic=&study=millennium-cohort-study&from=All+dates&to=All+dates&sortby=DESC
Unchanged: Expected output, Expected measurable benefits.
DARS-NIC-147860-0RSHN-v5.2 28 March 2025 to 27 March 2026
- Title
- Centre for Longitudinal Studies - Millennium Cohort Study (MCS) - Child of the New Century -Mortality
- Commercial
- No
- Sublicensing
- Yes
- Datasets
- 6
- Files released
- 2
Datasets: Civil Registrations of Death; Demographics; MRIS - Cause of Death Report; MRIS - Cohort Event Notification Report; MRIS - Flagging Current Status Report; MRIS - Members and Postings Report
What changed from DARS-NIC-147860-0RSHN-v4.2
Text removed is struck through; text added is underlined. Unchanged paragraphs are summarised rather than repeated.
| Field | Was | Became |
|---|---|---|
| Start date | 2025-03-28 | |
| End date | 2026-03-27 | |
| Sublicensing | Yes | |
| Demographics: legal basis | Health and Social Care Act 2012 - s261(5)(d); National Health Service Act 2006 - s251 - 'Control of patient information'. |
Objective for processing
The Centre for Longitudinal Studies (CLS) at University College London
(UCL)requires
(UCL) requires
access to NHS England data
for
to support
the
purpose of the Millennium Cohort Study (MCS) also known as the ‘Child of the New Century’.
following research programme:
Millennium Cohort Study (MCS) - Child of the New Century
[1 paragraph unchanged]
MCS is renowned worldwide for the evidence it provides on children’s experience
[39 words unchanged]
11 years, 14 years and 17 years). The MCS covers diverse topics
such
as parenting; childcare; schooling and education (e.g academic qualifications, vocational qualifications); daily
[17 words unchanged]
poverty; housing, neighbourhood, and residential mobility; and social capital, ethnicity and identity.
[2 paragraphs unchanged]
CLS have previously received record level, identifiable data linked to the cohort from the following datasets.
Identifiable Civil Registration Mortality and Demographics are requested in support of the following aims:
- MRIS – Cause of Death Report
• Update participant's details on the CLS database with a view to 1) preventing seeking contact with those who have died and potentially causing distress to friends and relatives, and 2) preventing study resources from being wasted trying to contact individuals who have since emigrated outside of the UK.
- MRIS - List Cleaning Report
• Understand the Mortality outcomes of the MCS cohort and investigate how individual behaviours and social or economic determinations of health behaviours such as drug and alcohol use, sexual health, diet and exercise may have influenced outcomes.
- MRIS - Members and Postings Report
• Support further research within the CLS
- MRIS – Cohort Event Notification Report
• Support further research outside the CLS via sub licencing arrangements
- MRIS – Flagging Current Status Report
The CLS has previously received data for the purposes of updating the study’s database to prevent contact with those who have died or emigrated only. The CLS now requests to use this data for research purposes, and to sublicence this data via the UKDS.
-
The requested data will be minimised as follows:
MRIS reports were disbanded in 2020 and CLS received the replacement data sets;
• Data is limited to the ~19,000 individuals included in the MCS cohort.
-Demographics (CLS now receive Demographics data via DARS-NIC-408892-F1R1Y)
Where data is being shared within the CLS, or is being shared outside the CLS to support further research the data will be minimised on a project by project basis, this minimisation will be evaluated by the CLS Data Access Committee (DAC). The date of death will be de-identified as month and year, cause of death (ICD-10 codes) may be de-identified by truncation where needed.
-Civil Registrations of Deaths
UCL is the data controller as the organisation responsible for ensuring that the data will only be processed for the purpose described above.
[1 paragraph unchanged]
The lawful basis for processing special category data under UK GDPR is
[8 words unchanged]
in the public interest, scientific or historical research purposes or statistical purposes.
In addition, for ethical reasons and under the Common Law Duty of Confidentiality, UCL
CLS
sought permission from
cohort members
the Confidentiality Advisory Group and obtained S251 approval
to
access and link their routine health records to their survey data,
trace participants
and to
the onward sharing of this linked
use their mortality
data
in pseudonymised form (via a secure setting with appropriate safeguards).
for research.
The Economic and Social Research Council (ESRC) are the funder for this study. The funder will have no ability to suppress or otherwise limit the publication of findings.
The funding is provided by the Economic and Social Research Council.
The University of Essex is a processor acting under the instructions of UCL. The University of Essex hosts the UKDS, their role is limited to storing the linked pseudonymised data and facilitating access to third-party researchers who have the necessary approvals and contractual measures in place required to access the data.
Only substantive employees whose role supports the provision of the UKDS as a service are permitted to process the data. Should any researchers from the University of Essex wish to use the data deposited within the UKDS for research purposes they will be required to apply for access as per the process described in the ‘Sublicensing’ section below.
[2 paragraphs unchanged]
****Sharing Data Within the CLS****
CLS researchers may request access to the pseudonymised mortality dataset disseminated under this Agreement for research purposes.
CLS researchers requesting access to the data must submit a CLS Data Access Application Form. The form requires that they provide general information about the project including its title, aims and data required. Applicants are required to demonstrate how the project provides a measurable benefit in the provision of health and social care in England.
Should the request be approved the following restrictions apply:
Access will be restricted to CLS researchers who meet the following requirements:
i. The researcher must be substantively employed in the CLS by UCL;
ii. The researcher must be registered with the UKDS;
iii. The researcher must have completed NHS England’s Data Security Awareness course;
iv. The researcher must have submitted a project proposal for review by the CLS Data Access Committee (DAC) and the CLS DAC must have approved the access request;
v. Once, approved, the researcher will sign a licence agreement with CLS and will then be granted access to the relevant subset of data via the UCL Data Safe Haven (DSH
Current proposed projects intend to:
- Document and monitor socio-economic, demographic and other inequalities in cause-specific mortality over time
- Understand the joint progress of morbidity and mortality and to what extend healthy life expectancy keeps pace.
- Investigate the links between mental health and cause specific mortality
- Investigate the links between early life circumstances, childhood characteristics and cause specific mortality.
****Sharing Data via the UKDS – Sublicensing ****
Non-CLS researchers may request access to a pseudonymised subset of the mortality data disseminated under this Agreement for research purposes. All access is via the UK Data Service (UKDS).
The process of accessing data, and the licence type under which data is accessed varies depending on the disclosivity of the data, the sensitivity of the data and the potential consequences of the misuse of data. Research data have been classified into ‘Tiers’ depending on how disclosive, sensitive and risky individual data items are. Full details of how the CLS classify data can be found in the ‘CLS Data Classification Policy’
https://cls.ucl.ac.uk/wp-content/uploads/2017/02/CLS_Data_Classification_Policy-1.pdf
** UKDS Special safeguarded data (Tier 1b)**
Special safeguarded data (Tier 1b) have a medium level of potential disclosure risk and/or sensitivity. Examples of mortality fields that fall within tier 1b include the fact of death and the month and year of death (mm/yyyy).
Tier 1b data is accessed via a UKDS Special Licence. A UKDS Special Licence may be granted to successful applicants based within the UK.
The process for access to Tier 1b data is as follows:
1. The researcher registers with the UKDS and signs the UKDS End User Licence Agreement.
2. Applicant submits and signs the UKDS Special Licence application form.
3. By signing the Special Licence application form the researcher agrees with the terms in the UKDS Research Data Handling and Security Guide for Users (https://ukdataservice.ac.uk/app/uploads/cd171-researchdatahandling.pdf)
4. The UKDS Data Access team screens the application to ensure it is properly completed.
5. The UKDS Data Access team sends the application form to CLS for approval by the Data Access Committee (CLS DAC). The CLS DAC have delegated to the CLS Research Data Management (RDM)* team the capability to evaluate and approve Special Licence data access requests. However, the RDM will seek advice and guidance from the Committee where novel issues arise.
6. A member of the CLS RDM team will assess the application on behalf of the CLS DAC and decide to approve it or request further information. The assessment is done against the CLS DAC assessment criteria set out in the CLS DAC Terms of Reference (https://cls.ucl.ac.uk/wp-content/uploads/2023/03/CLS_DAC_Terms_of_Reference.pdf). Should an application be rejected, a researcher can apply again with a revised application.
7. The CLS RDM team will inform UKDS that the project has been approved.
8. Special Licence-approved applications are reported at the next CLS DAC.
9. UKDS will inform the researcher that their project was approved and make the data available to them.
10. The researcher downloads the Special Licence data into their institutional server. Researchers must abide by the conditions laid out in the UKDS ‘Research Data Handling and Security Guide for Users’, which includes details of the individual and institutional penalties that are enforceable in the event of a breach of the conditions. They can only merge these data with CLS highly de-identified non-disclosive research data, which are also subject to UKDS Data Sharing Agreement terms and conditions.
*RDM follow the DAC Terms of Reference i.e. they are reviewing against the same criteria
**UKDS Controlled data (Tier 2)**
Controlled data (Tier 2) have a high level of potential disclosure risk (for example exact dates, detailed geographical indicators) and/or high sensitivity. Examples of mortality fields that fall within tier 2 include date of death (dd/mm/yyyy) and cause of death including clinical codes for the cause of death.
Tier 2 data is accessed via the UKDS SecureLab, which is the UKDS’ Trusted Research Environment (TRE). The UKDS SecureLab supports UK-based research projects only.
The process for access to Tier 2 data is as follows:
i. The researcher submits an application, including the UKDS 'Accredited Researcher application form', the 'Research proposal' and the “UCL Licence Agreement” to the UKDS.
ii. The UKDS Data Access team screens the application to ensure it is properly completed. Once it is, they forward the application to the CLS.
iii. The CLS Research Data Management (RDM) managers check the Organisational Information Governance and security assurance evidence provided in the “UCL Licence Agreement” and either requests further evidence to support the request or submits the application for CLS DAC approval.
iv. The CLS DAC assesses both project documents (UKDS project proposal and the “UCL Licence Agreement”) and decides whether to approve it, not approve it, or they require further information. CLS DAC considerations include an assessment of the expected benefits to health care, adult social care or the promotion of health. Should an application be rejected, a researcher can apply again with a revised application.
v. If the CLS DAC approves the project:
a. CLS RDM team informs UKDS that the project has been approved.
b. The CLS authorised representative signs the “UCL License agreement” and sends it back to the UKDS to be forwarded to the researcher.
vi. UKDS informs the researcher that their project was approved; sends them a countersigned copy of the “UCL Licence Agreement”
vii. UKDS makes the data available to the researcher via theUKDS SecureLab account via Multi Factor Authentication. ,
viii. The data will be provided to the researcher via their own UKDS SecureLab project folder, which will contain only the data that the researcher needs to see for their project. The research-linked data provided to researchers are pseudonymised and de-identified, and will never contain identifiable information such as name, address, date of birth, NHS or NI number.
ix. The researcher accessing the data via the UKDS SecureLab will not be able to download any data into their own institutional server. Once the researcher has finished their research, the UKDS will delete the data folder with the tailored dataset for the specific project.
x. Strict disclosure control checks are carried out by the UKDS before any research outputs, e.g. publication, can be extracted from the UKDS SecureLab account.
xi. CLS DAC will publish the information about any data dissemination on the CLS website, including the name of the organisation to which data was provided, purpose (summary of the project) and what data was released. (NB: If CLS DAC does not approve the project, no data will be disseminated). https://cls.ucl.ac.uk/data-access-training/data-access/
Processing activities
Under previous versions of this DSA CLS transferred data to NHS England. The data consisted of identifying details specifically NHS number, Date of Birth (DOB), first name, Last Name, Middle name, Gender, Postcode and study ID for the cohort to be linked with NHS England data.
** Data linkage **
NHS England provided the relevant records from the Demographics and Civil Registrations of Deaths dataset to CLS. The data contained contain directly identifying data items such as Address’, postcodes, NHS Number, DOB, Gender, Fact of Death
The CLS will supply NHS England with a file of around 19,000 study members to match to NHS data.
The data is stored on servers at UCL.
The file supplied will contain all cohort members who have ever participated in the study (excluding those who have requested the study to stop using their data).
The data can be accessed by authorised CLS personnel via remote access on UCL-issued devices from their work organisation office or from home. The data will always remain on the servers at UCL CLS. Personnel are prohibited from downloading or copying data to local devices.
Participants can;
Personnel are prohibited from downloading or copying data to local devices
a) withdraw from a specific data collection sweep of the study (in which case they would still be invited to take part in future sweeps of the study)
The data will not leave the UK.
b) permanently withdraw from the study (in which case they will not be invited to take part in any future sweeps of the study) or
Access is restricted to employees of UCL who have authorisation from the principal investigator of the MCS study.
c) permanently withdraw from the study AND request that the data can no longer be used.
All personnel accessing the data have been appropriately trained in data protection and confidentiality
The file will contain the following items:
-CLS ID
-First name
-Last name
-Middle name (where available)
-Sex
-Date of birth
-Postcode
-NHS number (where available)
Following data linkage, NHS England will supply the following details to CLS:
- CLS identifier
- NHS Number
- Forename of the deceased
- Latest middle name (where available),
-Surname of the deceased
- Date of birth
-Date of death
-Fact of death
-Cause of death
- Gender
- Town of birth
-Address
- Date of address registration or update
-Other variables as chosen in the Civil Registration and Demographic dataset.
The identifiable data received under this agreement will be used to validate the information of the cohort on CLS's cohort maintenance database (meaning names and addresses are used to ensure the correct cohort member has passed away or emigrated). These identifiable data will not be linked to any other data, and it will not be made available to researchers.
The pseudonymised mortality data will be linked to the pseudonymised survey data and therefore will be linked to the survey data for research by the CLS Research Data Management team.
Researchers applying to use the survey linked to mortality data may also apply to use the linked data in combination with other datasets including Hospital Episode Statistics (HES) held by the study under DARS-NIC-384504-N2V5B-v3.
***Access by the study operational teams and the wider CLS***
All data being accessed by the study team and the wider CLS is stored on the UCL Data Safe Haven (DSH).
Amazon Web Services provides cloud hosting services to UCL and will store the data as contracted by UCL.
UCL uses offsite data centre services provided by VIRTUS data centre. VIRTUS does not have access to the data.
Access to the UCL DHS is via remote access. For remote access:
- Remote access will only be from secure locations situated within the territory of use (as further restricted elsewhere within the DSA if so done) stated within this DSA;
- Access controls granting users the minimum level of access required are in place;
- Remote access is only via secure connections (e.g., VPNs or secure protocols) to protect data;
- Multifactor authentication (MFA) is required for remote access;
- Device security, including up-to-date software and operating systems, antivirus software, and enabled firewalls are utilised for the remote access;
- All remote access is undertaken within the scope of the organisation’s DSPT (or other security arrangements as per this DSA) and complies with the organisation’s remote access policy.
Remote processing will be from secure locations within the UK. The data will not leave the UK at any time.
Access to data held on the UCL DSH is restricted to the direct study team, and other individuals employed by UCL in the CLS who have received approval from the CLS DAC to access the data.
***Access by Sublicensees***
Access to data via sublicence depends on the tier the data falls under.
** UKDS Special safeguarded data (Tier 1b)**
The data will be stored on servers at the UK Data Archive based at the University of Essex. The UK Data Archive will store the pseudonymised analysis file only.
Subject to approval by the CLS DAC and obtaining a UKDS Special Licence, researchers receive data and work on their institutional servers.
Access is restricted to researchers who have received authorisation from CLS DAC and have obtained a UKDS Special Licence for their specific project.
This data dissemination includes the following safeguards:
i. Data transfers are made securely e.g. encrypted.
ii. The data will be used for database update and statistical research purposes and will not involve any direct decision-making about the health or treatment of a participant
iii. Data are stored in secure environments certified to ISO 27001 and/or a ‘Standards Met’ DSP Toolkit. (this is true about the data we receive from you).
iv. Data are only accessed in pseudonymised form and treated for disclosure if necessary.
v. Data will not be shared outside of the UK at any time.
** UKDS Controlled data (Tier 2)** **
The data will be stored on servers at the UK Data Archive based at the University of Essex. The UK Data Archive will store the pseudonymised analysis file only.
Subject to approval by the CLS, the UKDS will make data available to researchers via the UKDS Secure Lab.
The Data will be accessed via remote access. For remote access:
- Remote access will only be from secure locations situated within the territory of use (as further restricted elsewhere within the DSA if so done) stated within this DSA;
- Access controls granting users the minimum level of access required are in place;
- Remote access is only via secure connections (e.g., VPNs or secure protocols) to protect data;
- Multifactor authentication (MFA) is required for remote access;
- Device security, including up-to-date software and operating systems, antivirus software, and enabled firewalls are utilised for the remote access;
- All remote access is undertaken within the scope of the organisation’s DSPT (or other security arrangements as per this DSA) and complies with the organisation’s remote access policy.
Remote processing will be from secure locations within the UK. The data will not leave the UK at any time.
Access is restricted to researchers who have received authorisation from CLS DAC for their specific project.
All personnel accessing the data have been appropriately trained in data protection and confidentiality.
This data dissemination includes the following safeguards:
i. Linkages are covered by the Section 251 support (use of mortality data for research projects)
ii. Identifying variables are held separately from the survey responses, including during the matching process.
iii. Data transfers are made securely e.g. encrypted.
iv. The data will only be used for database update and statistical research purposes and will not involve any direct decision-making about the health or treatment of a participant
v. Data are stored in secure environments certified to ISO 27001 and/or a ‘Standards Met’ DSP Toolkit.
vi. Data are only accessed in pseudonymised form and treated for disclosure if necessary.
vii. Data are accessed via the receiving organisation's secure environment.
viii. Disclosure control checks are carried out before any research publication.
Data will not be shared outside of the UK at any time.
Unchanged: Expected output, Expected measurable benefits, Benefits reported.
Objective for processing
The Centre for Longitudinal Studies (CLS) at University College London (UCL) requires access to NHS England data to support the following research programme:
Millennium Cohort Study (MCS) - Child of the New Century
MCS is following the lives of around 19000 young people born across England, Scotland, Wales and Northern Ireland in 2000-02.
MCS is renowned worldwide for the evidence it provides on children’s experience of growing up in the United Kingdom in the 21st Century. Since the study’s launch there have been seven attempts to re-contact and gather information from the whole cohort (at ages 9 months, 3 years, 5 years, 7 years, 11 years, 14 years and 17 years). The MCS covers diverse topics such as parenting; childcare; schooling and education (e.g academic qualifications, vocational qualifications); daily activities and behaviour; cognitive development; child and parent mental and physical health; employment and education; income and poverty; housing, neighbourhood, and residential mobility; and social capital, ethnicity and identity.
The information collected in previous sweeps of the study has formed the high-quality data resource, that is MCS, for scientific investigation across the life course and domains. The seventh, Age 17 survey (2018-19) added to the data already collected in previous sweeps by updating information on current circumstances of the cohort and experiences they have had since the last sweep. In previous sweeps, schooling will have been the main activity common to the vast majority of cohort members.
CLS have access to NHS England data for the purpose of updating participant contact details and mortality information held on CLS systems and for the purpose of contacting participants and maximise involvement in future sweeps conducted within this study.
Identifiable Civil Registration Mortality and Demographics are requested in support of the following aims:
• Update participant's details on the CLS database with a view to 1) preventing seeking contact with those who have died and potentially causing distress to friends and relatives, and 2) preventing study resources from being wasted trying to contact individuals who have since emigrated outside of the UK.
• Understand the Mortality outcomes of the MCS cohort and investigate how individual behaviours and social or economic determinations of health behaviours such as drug and alcohol use, sexual health, diet and exercise may have influenced outcomes.
• Support further research within the CLS
• Support further research outside the CLS via sub licencing arrangements
The CLS has previously received data for the purposes of updating the study’s database to prevent contact with those who have died or emigrated only. The CLS now requests to use this data for research purposes, and to sublicence this data via the UKDS.
The requested data will be minimised as follows:
• Data is limited to the ~19,000 individuals included in the MCS cohort.
Where data is being shared within the CLS, or is being shared outside the CLS to support further research the data will be minimised on a project by project basis, this minimisation will be evaluated by the CLS Data Access Committee (DAC). The date of death will be de-identified as month and year, cause of death (ICD-10 codes) may be de-identified by truncation where needed.
UCL is the data controller as the organisation responsible for ensuring that the data will only be processed for the purpose described above.
The lawful basis for processing personal data under the UK GDPR is Article 6(1)(e) - processing is necessary for the performance of a task carried out in the public interest or in the exercise of official authority vested in the controller;
The lawful basis for processing special category data under UK GDPR is Article 9(2)(j) processing is necessary for archiving purposes in the public interest, scientific or historical research purposes or statistical purposes. CLS sought permission from the Confidentiality Advisory Group and obtained S251 approval to trace participants and to use their mortality data for research.
The funding is provided by the Economic and Social Research Council.
The University of Essex is a processor acting under the instructions of UCL. The University of Essex hosts the UKDS, their role is limited to storing the linked pseudonymised data and facilitating access to third-party researchers who have the necessary approvals and contractual measures in place required to access the data.
Only substantive employees whose role supports the provision of the UKDS as a service are permitted to process the data. Should any researchers from the University of Essex wish to use the data deposited within the UKDS for research purposes they will be required to apply for access as per the process described in the ‘Sublicensing’ section below.
Amazon Web Services (AWS) is a processor acting under the instructions of UCL. AWS’ role is limited to secure backup of data stored in UCL’s Data Safe Haven.
UCL uses offsite data centre services provided by VIRTUS data centre. VIRTUS does not have access to the data.
****Sharing Data Within the CLS****
CLS researchers may request access to the pseudonymised mortality dataset disseminated under this Agreement for research purposes.
CLS researchers requesting access to the data must submit a CLS Data Access Application Form. The form requires that they provide general information about the project including its title, aims and data required. Applicants are required to demonstrate how the project provides a measurable benefit in the provision of health and social care in England.
Should the request be approved the following restrictions apply:
Access will be restricted to CLS researchers who meet the following requirements:
i. The researcher must be substantively employed in the CLS by UCL;
ii. The researcher must be registered with the UKDS;
iii. The researcher must have completed NHS England’s Data Security Awareness course;
iv. The researcher must have submitted a project proposal for review by the CLS Data Access Committee (DAC) and the CLS DAC must have approved the access request;
v. Once, approved, the researcher will sign a licence agreement with CLS and will then be granted access to the relevant subset of data via the UCL Data Safe Haven (DSH
Current proposed projects intend to:
- Document and monitor socio-economic, demographic and other inequalities in cause-specific mortality over time
- Understand the joint progress of morbidity and mortality and to what extend healthy life expectancy keeps pace.
- Investigate the links between mental health and cause specific mortality
- Investigate the links between early life circumstances, childhood characteristics and cause specific mortality.
****Sharing Data via the UKDS – Sublicensing ****
Non-CLS researchers may request access to a pseudonymised subset of the mortality data disseminated under this Agreement for research purposes. All access is via the UK Data Service (UKDS).
The process of accessing data, and the licence type under which data is accessed varies depending on the disclosivity of the data, the sensitivity of the data and the potential consequences of the misuse of data. Research data have been classified into ‘Tiers’ depending on how disclosive, sensitive and risky individual data items are. Full details of how the CLS classify data can be found in the ‘CLS Data Classification Policy’
https://cls.ucl.ac.uk/wp-content/uploads/2017/02/CLS_Data_Classification_Policy-1.pdf
** UKDS Special safeguarded data (Tier 1b)**
Special safeguarded data (Tier 1b) have a medium level of potential disclosure risk and/or sensitivity. Examples of mortality fields that fall within tier 1b include the fact of death and the month and year of death (mm/yyyy).
Tier 1b data is accessed via a UKDS Special Licence. A UKDS Special Licence may be granted to successful applicants based within the UK.
The process for access to Tier 1b data is as follows:
1. The researcher registers with the UKDS and signs the UKDS End User Licence Agreement.
2. Applicant submits and signs the UKDS Special Licence application form.
3. By signing the Special Licence application form the researcher agrees with the terms in the UKDS Research Data Handling and Security Guide for Users (https://ukdataservice.ac.uk/app/uploads/cd171-researchdatahandling.pdf)
4. The UKDS Data Access team screens the application to ensure it is properly completed.
5. The UKDS Data Access team sends the application form to CLS for approval by the Data Access Committee (CLS DAC). The CLS DAC have delegated to the CLS Research Data Management (RDM)* team the capability to evaluate and approve Special Licence data access requests. However, the RDM will seek advice and guidance from the Committee where novel issues arise.
6. A member of the CLS RDM team will assess the application on behalf of the CLS DAC and decide to approve it or request further information. The assessment is done against the CLS DAC assessment criteria set out in the CLS DAC Terms of Reference (https://cls.ucl.ac.uk/wp-content/uploads/2023/03/CLS_DAC_Terms_of_Reference.pdf). Should an application be rejected, a researcher can apply again with a revised application.
7. The CLS RDM team will inform UKDS that the project has been approved.
8. Special Licence-approved applications are reported at the next CLS DAC.
9. UKDS will inform the researcher that their project was approved and make the data available to them.
10. The researcher downloads the Special Licence data into their institutional server. Researchers must abide by the conditions laid out in the UKDS ‘Research Data Handling and Security Guide for Users’, which includes details of the individual and institutional penalties that are enforceable in the event of a breach of the conditions. They can only merge these data with CLS highly de-identified non-disclosive research data, which are also subject to UKDS Data Sharing Agreement terms and conditions.
*RDM follow the DAC Terms of Reference i.e. they are reviewing against the same criteria
**UKDS Controlled data (Tier 2)**
Controlled data (Tier 2) have a high level of potential disclosure risk (for example exact dates, detailed geographical indicators) and/or high sensitivity. Examples of mortality fields that fall within tier 2 include date of death (dd/mm/yyyy) and cause of death including clinical codes for the cause of death.
Tier 2 data is accessed via the UKDS SecureLab, which is the UKDS’ Trusted Research Environment (TRE). The UKDS SecureLab supports UK-based research projects only.
The process for access to Tier 2 data is as follows:
i. The researcher submits an application, including the UKDS 'Accredited Researcher application form', the 'Research proposal' and the “UCL Licence Agreement” to the UKDS.
ii. The UKDS Data Access team screens the application to ensure it is properly completed. Once it is, they forward the application to the CLS.
iii. The CLS Research Data Management (RDM) managers check the Organisational Information Governance and security assurance evidence provided in the “UCL Licence Agreement” and either requests further evidence to support the request or submits the application for CLS DAC approval.
iv. The CLS DAC assesses both project documents (UKDS project proposal and the “UCL Licence Agreement”) and decides whether to approve it, not approve it, or they require further information. CLS DAC considerations include an assessment of the expected benefits to health care, adult social care or the promotion of health. Should an application be rejected, a researcher can apply again with a revised application.
v. If the CLS DAC approves the project:
a. CLS RDM team informs UKDS that the project has been approved.
b. The CLS authorised representative signs the “UCL License agreement” and sends it back to the UKDS to be forwarded to the researcher.
vi. UKDS informs the researcher that their project was approved; sends them a countersigned copy of the “UCL Licence Agreement”
vii. UKDS makes the data available to the researcher via theUKDS SecureLab account via Multi Factor Authentication. ,
viii. The data will be provided to the researcher via their own UKDS SecureLab project folder, which will contain only the data that the researcher needs to see for their project. The research-linked data provided to researchers are pseudonymised and de-identified, and will never contain identifiable information such as name, address, date of birth, NHS or NI number.
ix. The researcher accessing the data via the UKDS SecureLab will not be able to download any data into their own institutional server. Once the researcher has finished their research, the UKDS will delete the data folder with the tailored dataset for the specific project.
x. Strict disclosure control checks are carried out by the UKDS before any research outputs, e.g. publication, can be extracted from the UKDS SecureLab account.
xi. CLS DAC will publish the information about any data dissemination on the CLS website, including the name of the organisation to which data was provided, purpose (summary of the project) and what data was released. (NB: If CLS DAC does not approve the project, no data will be disseminated). https://cls.ucl.ac.uk/data-access-training/data-access/
Expected output
The scientific priorities and questionnaire content will be elaborated and developed in consultation with the academic and policy community with the aim of collecting both information relevant to their lives at age 22 and to later life outcomes, as well as repeat measures of topics covered at age 17. CLS will continue to prospectively harmonise the content with other comparable cohorts, particularly those in the UK, by drawing on comparable measures at a similar age. All surveys are overseen by the CLS Strategic Advisory Board (SAB) which contains representatives from UKRI, Wellcome Trust, Medical Research Council, the scientific community and government departments. The SAB provide high level strategic oversight for CLS to ensure the cohort studies led by the centre are developed, managed and maintained in a manner that maximises their benefit as long-term scientific resources of importance both nationally and internationally, while protecting participants’ interests The SAB ensure that the content is closely aligned with research priorities, as well as the areas of research interest (ARIs) published by government departments. CLS will reflect these priorities when deciding on the major themes which CLS intend to cover at the next sweep collection at age 22 provisionally planned to take place in 2021.
CLS will continue to produce outputs from the study via the UK Data Service in the form of aggregated report for the benefit of the wider research community as previous interest in MCS data has proven to be sought in a large scope of research areas. CLS will also publish papers in a range of journals; however it is not possible to provide detail at this point as to precisely which journals and dates, but the intention is to produce outputs along the same lines as those produced after the previous sweep.
This information has been used to prevent us from seeking to contact those who have died and thus potentially causing distress to family and friends. Information on exit/entries from NHS England have prevented us from using resources contacting individuals who are no longer in Great Britain. The demographic data has been used to update CLS ‘s database with new addresses which have been used to maintain contact with study members e.g to send them a special birthday mailing for their birthday and then later to invite them to take part in the future surveys.
Benefits reported
MCS has provided important evidence to show how circumstances in the very first stages of life can influence later health and development.
Research based on MCS has shown that the likelihood of being breastfed is affected by which day in the week a child is born, which has strong subsequent effects on cognitive development.
The study has contributed crucial evidence on two major health issues facing this generation; the high rates of both mental-ill health and obesity among this age group, now in their teens.
Mental Health study
New research using information from MCS shows a quarter of girls (24%) and one in 10 boys (9%) are depressed at age 14. Researchers from the UCL Institute of Education and the University of Liverpool analysed information on more than 10,000 children born in 2000-01 who are taking part in the Millennium Cohort Study.
At ages 3, 5, 7, 11 and 14, parents reported on their children’s mental health. Then, when they reached 14, the children were themselves asked questions about their depressive symptoms. Based on the 14-year-olds reporting of their emotional problems, 24 per cent of girls and 9 per cent of boys suffer from depression.
The research, published with the National Children’s Bureau, also investigated links between depressive symptoms and family income. Generally, 14-year-olds from better-off families were less likely to have high levels of depressive symptoms compared to their peers from poorer homes. Parents’ reports of emotional problems were roughly the same for boys and girls throughout childhood, increasing from 7 per cent of children at age 7 to 12 per cent at age 11. However, by the time they reached early adolescence at age 14, emotional problems became more prevalent in girls, with 18 per cent having symptoms of depression and anxiety, compared to 12 per cent of boys. Behaviour problems, such as acting out, fighting and being rebellious decreased from infancy to age 5, but then increased to age 14. Boys were more likely than girls to have behaviour problems throughout childhood and early adolescence.
As 14-year-olds’ own reports of their emotional problems were different to their parents’, this research highlights the importance of considering young people’s views on their own mental health.
Obesity study
One in five young people born in the UK at the turn of the century was obese by the age of 14, and a further 15 per cent were found to be overweight. Researchers from the Centre for Longitudinal Studies (CLS) at the UCL Institute of Education analysed information on more than 10,000 teenagers who are taking part in the Millennium Cohort Study. These latest findings reinforce the importance of plans from UK governments to tackle the childhood obesity epidemic over the coming years. In response to public concern over childhood obesity, the most significant steps in recent government policy include the introduction of a levy on added sugar in soft drinks in April 2018, and a programme to reduce sugar across a range of products by 20 per cent by 2020, alongside reductions in salt and saturated fat. The report from CLS, which is published with a briefing paper on Thursday (7 December), reveals that although the same proportion of boys and girls were obese (20%), rates of overweight were slightly higher for girls (16%) than boys (13%). Rates of excess weight varied by country, with almost 40 per cent of young people in Northern Ireland overweight or obese, compared to 38 per cent in Wales, and 35 per cent in both Scotland and England. There was a clear link between young people’s weight and their mothers’ level of education. Almost 40 per cent of 14-year-olds whose mothers had only GCSE qualifications were overweight or obese, compared to 26 per cent of those whose mothers had a degree or higher qualifications. In addition, children who were breastfed as infants, and those whose parents owned their home, had lower odds of being overweight and obese at age 14.
The researchers also analysed information on children’s height and weight at ages 3, 5, 7, 11 and 14, to uncover patterns of weight gain across childhood. They found that rates of overweight and obesity increased slightly from ages 3 to 7, but rose significantly at age 11, from 25 per cent to 35 per cent, with this increase being especially strong among boys. By age 14, however, they discovered that rates of excess weight had stabilised. While boys were slightly less likely to have become overweight and obese than to have become a normal weight by age 14, for girls the opposite was the case.
Below are examples of existing publications using the Millennium Cohort Study data benefiting public health.
Smoking in pregnancy
Several studies based on MCS have looked at how smoking during pregnancy relates to children's development. One group of researchers found that babies with mothers who smoked at any point while they were pregnant weighed on average 146 grams less when they were born (around the weight of a smartphone) than babies with mums who did not smoke. Overall, the more cigarettes a mother smoked a day, the less her baby weighed at birth.
Babies with mothers whose partners smoked around them while they were pregnant also weighed on average 36 grams less (about the weight of a chocolate bar) than those with mothers who were not exposed to smoke.
Another research study has suggested that children are more likely to have behaviour problems at age 3 if their mothers smoke while they are pregnant.
Breastfeeding and child health
An influential study found that babies who were breastfed in the first months of their lives were less likely to go to hospital for diarrhoea or respiratory problems, such as infections and pneumonia. The researchers estimated that half of hospital stays for diarrhoea, and a quarter of stays for respiratory problems, could be prevented every month if all babies in the UK were fed entirely on breast milk for at least six months.
Breastfeeding and child development
Between ages 3 and 7 MCS children took part in a range of activities to show which words they knew and the patterns they could identify in shapes and images. Studies have found that children who were breastfed tended to do better in these exercises and to have less behaviour problems.
Research has also suggested that there is a relationship between breastfeeding and young children's ability to coordinate the movements of their arms and legs and to reach milestones such as standing up for the first time and taking their first steps.
DARS-NIC-147860-0RSHN-v4.2 23 August 2024 to 22 August 2027
- Title
- Centre for Longitudinal Studies - Millennium Cohort Study (MCS) - Child of the New Century -Mortality
- Commercial
- No
- Sublicensing
- No
- Datasets
- 6
- Files released
- 0
Datasets: Civil Registrations of Death; Demographics; MRIS - Cause of Death Report; MRIS - Cohort Event Notification Report; MRIS - Flagging Current Status Report; MRIS - Members and Postings Report
What changed from DARS-NIC-147860-0RSHN-v3.2
Text removed is struck through; text added is underlined. Unchanged paragraphs are summarised rather than repeated.
| Field | Was | Became |
|---|---|---|
| Start date | 2024-08-23 | |
| End date | 2027-08-22 |
Objective for processing
This Data Sharing Agreement (DSA) permits University College London to retain data that was supplied under previous iterations of this DSA. The DSA does not permit any other processing of the data.
The following gives an overview of the study and purposes from historic disseminations.
[20 paragraphs unchanged]
Processing activities
This Data Sharing Agreement (DSA) permits University College London to retain data that was supplied under previous iterations of this DSA. The DSA does not permit any other processing of the data.
[8 paragraphs unchanged]
Expected output
This Data Sharing Agreement (DSA) permits University College London to retain data that was supplied under previous iterations of this DSA. The DSA does not permit any other processing of the data therefore there will be no new outputs produced under this DSA.
[2 paragraphs unchanged]
This information has been used to prevent us from seeking to contact
[6 words unchanged]
potentially causing distress to family and friends. Information on exit/entries from NHS
Digital
England
have prevented us from
wasting
using
resources contacting individuals who are no longer in Great Britain. The demographic
[34 words unchanged]
then later to invite them to take part in the future surveys.
Benefits reported
[1 paragraph unchanged]
Research based on MCS has shown that the likelihood of being breastfed
[8 words unchanged]
a child is born, which has strong subsequent effects on cognitive development.
More details about this study can be found here http://www.homepages.ucl.ac.uk/~uctpamv/papers/breastfeeding.pdf
[19 paragraphs unchanged]
Unchanged: Expected measurable benefits.
Objective for processing
The Centre for Longitudinal Studies (CLS) at University College London (UCL)requires access to NHS England data for the purpose of the Millennium Cohort Study (MCS) also known as the ‘Child of the New Century’.
MCS is following the lives of around 19000 young people born across England, Scotland, Wales and Northern Ireland in 2000-02.
MCS is renowned worldwide for the evidence it provides on children’s experience of growing up in the United Kingdom in the 21st Century. Since the study’s launch there have been seven attempts to re-contact and gather information from the whole cohort (at ages 9 months, 3 years, 5 years, 7 years, 11 years, 14 years and 17 years). The MCS covers diverse topics as parenting; childcare; schooling and education (e.g academic qualifications, vocational qualifications); daily activities and behaviour; cognitive development; child and parent mental and physical health; employment and education; income and poverty; housing, neighbourhood, and residential mobility; and social capital, ethnicity and identity.
The information collected in previous sweeps of the study has formed the high-quality data resource, that is MCS, for scientific investigation across the life course and domains. The seventh, Age 17 survey (2018-19) added to the data already collected in previous sweeps by updating information on current circumstances of the cohort and experiences they have had since the last sweep. In previous sweeps, schooling will have been the main activity common to the vast majority of cohort members.
CLS have access to NHS England data for the purpose of updating participant contact details and mortality information held on CLS systems and for the purpose of contacting participants and maximise involvement in future sweeps conducted within this study.
CLS have previously received record level, identifiable data linked to the cohort from the following datasets.
- MRIS – Cause of Death Report
- MRIS - List Cleaning Report
- MRIS - Members and Postings Report
- MRIS – Cohort Event Notification Report
- MRIS – Flagging Current Status Report
-
MRIS reports were disbanded in 2020 and CLS received the replacement data sets;
-Demographics (CLS now receive Demographics data via DARS-NIC-408892-F1R1Y)
-Civil Registrations of Deaths
The lawful basis for processing personal data under the UK GDPR is Article 6(1)(e) - processing is necessary for the performance of a task carried out in the public interest or in the exercise of official authority vested in the controller;
The lawful basis for processing special category data under UK GDPR is Article 9(2)(j) processing is necessary for archiving purposes in the public interest, scientific or historical research purposes or statistical purposes. In addition, for ethical reasons and under the Common Law Duty of Confidentiality, UCL sought permission from cohort members to access and link their routine health records to their survey data, and to the onward sharing of this linked data in pseudonymised form (via a secure setting with appropriate safeguards).
The Economic and Social Research Council (ESRC) are the funder for this study. The funder will have no ability to suppress or otherwise limit the publication of findings.
Amazon Web Services (AWS) is a processor acting under the instructions of UCL. AWS’ role is limited to secure backup of data stored in UCL’s Data Safe Haven.
UCL uses offsite data centre services provided by VIRTUS data centre. VIRTUS does not have access to the data.
Expected output
The scientific priorities and questionnaire content will be elaborated and developed in consultation with the academic and policy community with the aim of collecting both information relevant to their lives at age 22 and to later life outcomes, as well as repeat measures of topics covered at age 17. CLS will continue to prospectively harmonise the content with other comparable cohorts, particularly those in the UK, by drawing on comparable measures at a similar age. All surveys are overseen by the CLS Strategic Advisory Board (SAB) which contains representatives from UKRI, Wellcome Trust, Medical Research Council, the scientific community and government departments. The SAB provide high level strategic oversight for CLS to ensure the cohort studies led by the centre are developed, managed and maintained in a manner that maximises their benefit as long-term scientific resources of importance both nationally and internationally, while protecting participants’ interests The SAB ensure that the content is closely aligned with research priorities, as well as the areas of research interest (ARIs) published by government departments. CLS will reflect these priorities when deciding on the major themes which CLS intend to cover at the next sweep collection at age 22 provisionally planned to take place in 2021.
CLS will continue to produce outputs from the study via the UK Data Service in the form of aggregated report for the benefit of the wider research community as previous interest in MCS data has proven to be sought in a large scope of research areas. CLS will also publish papers in a range of journals; however it is not possible to provide detail at this point as to precisely which journals and dates, but the intention is to produce outputs along the same lines as those produced after the previous sweep.
This information has been used to prevent us from seeking to contact those who have died and thus potentially causing distress to family and friends. Information on exit/entries from NHS England have prevented us from using resources contacting individuals who are no longer in Great Britain. The demographic data has been used to update CLS ‘s database with new addresses which have been used to maintain contact with study members e.g to send them a special birthday mailing for their birthday and then later to invite them to take part in the future surveys.
Benefits reported
MCS has provided important evidence to show how circumstances in the very first stages of life can influence later health and development.
Research based on MCS has shown that the likelihood of being breastfed is affected by which day in the week a child is born, which has strong subsequent effects on cognitive development.
The study has contributed crucial evidence on two major health issues facing this generation; the high rates of both mental-ill health and obesity among this age group, now in their teens.
Mental Health study
New research using information from MCS shows a quarter of girls (24%) and one in 10 boys (9%) are depressed at age 14. Researchers from the UCL Institute of Education and the University of Liverpool analysed information on more than 10,000 children born in 2000-01 who are taking part in the Millennium Cohort Study.
At ages 3, 5, 7, 11 and 14, parents reported on their children’s mental health. Then, when they reached 14, the children were themselves asked questions about their depressive symptoms. Based on the 14-year-olds reporting of their emotional problems, 24 per cent of girls and 9 per cent of boys suffer from depression.
The research, published with the National Children’s Bureau, also investigated links between depressive symptoms and family income. Generally, 14-year-olds from better-off families were less likely to have high levels of depressive symptoms compared to their peers from poorer homes. Parents’ reports of emotional problems were roughly the same for boys and girls throughout childhood, increasing from 7 per cent of children at age 7 to 12 per cent at age 11. However, by the time they reached early adolescence at age 14, emotional problems became more prevalent in girls, with 18 per cent having symptoms of depression and anxiety, compared to 12 per cent of boys. Behaviour problems, such as acting out, fighting and being rebellious decreased from infancy to age 5, but then increased to age 14. Boys were more likely than girls to have behaviour problems throughout childhood and early adolescence.
As 14-year-olds’ own reports of their emotional problems were different to their parents’, this research highlights the importance of considering young people’s views on their own mental health.
Obesity study
One in five young people born in the UK at the turn of the century was obese by the age of 14, and a further 15 per cent were found to be overweight. Researchers from the Centre for Longitudinal Studies (CLS) at the UCL Institute of Education analysed information on more than 10,000 teenagers who are taking part in the Millennium Cohort Study. These latest findings reinforce the importance of plans from UK governments to tackle the childhood obesity epidemic over the coming years. In response to public concern over childhood obesity, the most significant steps in recent government policy include the introduction of a levy on added sugar in soft drinks in April 2018, and a programme to reduce sugar across a range of products by 20 per cent by 2020, alongside reductions in salt and saturated fat. The report from CLS, which is published with a briefing paper on Thursday (7 December), reveals that although the same proportion of boys and girls were obese (20%), rates of overweight were slightly higher for girls (16%) than boys (13%). Rates of excess weight varied by country, with almost 40 per cent of young people in Northern Ireland overweight or obese, compared to 38 per cent in Wales, and 35 per cent in both Scotland and England. There was a clear link between young people’s weight and their mothers’ level of education. Almost 40 per cent of 14-year-olds whose mothers had only GCSE qualifications were overweight or obese, compared to 26 per cent of those whose mothers had a degree or higher qualifications. In addition, children who were breastfed as infants, and those whose parents owned their home, had lower odds of being overweight and obese at age 14.
The researchers also analysed information on children’s height and weight at ages 3, 5, 7, 11 and 14, to uncover patterns of weight gain across childhood. They found that rates of overweight and obesity increased slightly from ages 3 to 7, but rose significantly at age 11, from 25 per cent to 35 per cent, with this increase being especially strong among boys. By age 14, however, they discovered that rates of excess weight had stabilised. While boys were slightly less likely to have become overweight and obese than to have become a normal weight by age 14, for girls the opposite was the case.
Below are examples of existing publications using the Millennium Cohort Study data benefiting public health.
Smoking in pregnancy
Several studies based on MCS have looked at how smoking during pregnancy relates to children's development. One group of researchers found that babies with mothers who smoked at any point while they were pregnant weighed on average 146 grams less when they were born (around the weight of a smartphone) than babies with mums who did not smoke. Overall, the more cigarettes a mother smoked a day, the less her baby weighed at birth.
Babies with mothers whose partners smoked around them while they were pregnant also weighed on average 36 grams less (about the weight of a chocolate bar) than those with mothers who were not exposed to smoke.
Another research study has suggested that children are more likely to have behaviour problems at age 3 if their mothers smoke while they are pregnant.
Breastfeeding and child health
An influential study found that babies who were breastfed in the first months of their lives were less likely to go to hospital for diarrhoea or respiratory problems, such as infections and pneumonia. The researchers estimated that half of hospital stays for diarrhoea, and a quarter of stays for respiratory problems, could be prevented every month if all babies in the UK were fed entirely on breast milk for at least six months.
Breastfeeding and child development
Between ages 3 and 7 MCS children took part in a range of activities to show which words they knew and the patterns they could identify in shapes and images. Studies have found that children who were breastfed tended to do better in these exercises and to have less behaviour problems.
Research has also suggested that there is a relationship between breastfeeding and young children's ability to coordinate the movements of their arms and legs and to reach milestones such as standing up for the first time and taking their first steps.
DARS-NIC-147860-0RSHN-v3.2 25 July 2023 to 24 July 2024
- Title
- Centre for Longitudinal Studies - Millennium Cohort Study (MCS) - Child of the New Century -Mortality
- Commercial
- No
- Sublicensing
- No
- Datasets
- 6
- Files released
- 0
Datasets: Civil Registrations of Death; Demographics; MRIS - Cause of Death Report; MRIS - Cohort Event Notification Report; MRIS - Flagging Current Status Report; MRIS - Members and Postings Report
What changed from DARS-NIC-147860-0RSHN-v2.6
Text removed is struck through; text added is underlined. Unchanged paragraphs are summarised rather than repeated.
| Field | Was | Became |
|---|---|---|
| Title | Centre for Longitudinal Studies - Millennium Cohort Study (MCS) - Child of the New Century -Mortality | |
| Start date | 2023-07-25 | |
| End date | 2024-07-24 | |
| Civil Registrations of Death: legal basis | Health and Social Care Act 2012 - s261(5)(d); National Health Service Act 2006 - s251 - 'Control of patient information'. | |
| Demographics: legal basis | Health and Social Care Act 2012 - s261(5)(d); National Health Service Act 2006 - s251 - 'Control of patient information'. ; Other-National Health Service Act 2006 - s251 - 'Control of patient information'. , | |
| MRIS - Cause of Death Report: legal basis | Health and Social Care Act 2012 - s261(5)(d); National Health Service Act 2006 - s251 - 'Control of patient information'. | |
| MRIS - Cohort Event Notification Report: legal basis | Health and Social Care Act 2012 - s261(5)(d); National Health Service Act 2006 - s251 - 'Control of patient information'. | |
| MRIS - Flagging Current Status Report: legal basis | Health and Social Care Act 2012 - s261(5)(d); National Health Service Act 2006 - s251 - 'Control of patient information'. | |
| MRIS - Members and Postings Report: legal basis | Health and Social Care Act 2012 - s261(5)(d); National Health Service Act 2006 - s251 - 'Control of patient information'. |
Objective for processing
This Data Sharing Agreement
(DSA)
permits
the retention of the
University College London to retain
data
provided
that was supplied
under previous iterations of this
Agreement. No new data will be supplied by NHS Digital under this version
DSA. The DSA does not permit any other processing
of the
Agreement.
data.
The following provides background information on the purpose of the original study:
The following gives an overview of the study and purposes from historic disseminations.
The Millennium Cohort Study (MCS) is a multidisciplinary research project following the lives of over 19,000 children in the UK born in 2000/1. It is the most recent of Britain's world-renowned national longitudinal birth cohort studies. Each follows a large number of individuals born at a particular time through the course of their lives, charting the effects of events and circumstances in early life on outcomes and achievements later on. The study has been tracking the Millennium children through their early childhood years and plans to follow them into adulthood. The seven surveys of the MCS carried out so far at 9 months (2001/2), 3 years (2003/4), 5 years (2006), 7 years (2008), 11 years (2012), 14 years (2015) and 17 Years (2018) have built up a uniquely detailed picture of the children of the new century and their families. The study is carried out by the Centre for Longitudinal Studies at the Institute of Education, University College London. It is funded by the UK Research and Innovation (UKRI) formerly known as ESRC and a consortium of UK Government departments.
The Centre for Longitudinal Studies (CLS) at University College London (UCL)requires access to NHS England data for the purpose of the Millennium Cohort Study (MCS) also known as the ‘Child of the New Century’.
In 2000/02, when the first survey was carried out, consent to participate in surveys was gained by parents respondents agreeing to be interviewed or respondents returning the completed questionnaire to the study team. Involvement in subsequent surveys adopted the same approach. Individuals could withdraw from the study at any time by simply expressing the wish to do so. In all recent follow-ups the approach to collecting consent has been very similar. During fieldwork, Parents were sent an advance letter advising them about the survey. The letter was accompanied by an information leaflet explaining what is involved. Parents had the opportunity to request further information, or to opt out of the survey at this point. They could also seek further information, or refuse further involvement when the interviewer attempted to make an appointment to visit; when the interviewer visited and at any point during the administration of any elements of the surveys. During age 17 survey, Face-to-face interviews were conducted with the cohort members for the first time (including asking if they would be willing to consent to
MCS is following the lives of around 19000 young people born across England, Scotland, Wales and Northern Ireland in 2000-02.
data linkage). Parental involvement at MCS7 was minimal.
MCS is renowned worldwide for the evidence it provides on children’s experience of growing up in the United Kingdom in the 21st Century. Since the study’s launch there have been seven attempts to re-contact and gather information from the whole cohort (at ages 9 months, 3 years, 5 years, 7 years, 11 years, 14 years and 17 years). The MCS covers diverse topics as parenting; childcare; schooling and education (e.g academic qualifications, vocational qualifications); daily activities and behaviour; cognitive development; child and parent mental and physical health; employment and education; income and poverty; housing, neighbourhood, and residential mobility; and social capital, ethnicity and identity.
Of the approximately 19000 individuals that have ever participated in the study there will always be a number of individuals for whom the Centre for Longitudinal Studies (CLS) at University College London will not have a confirmed addresses or who may have died at the time of carrying out the next survey. The ongoing success of the study depends on maintaining contact with as large a number of study members as possible and without causing distress to relatives of those who died.
The information collected in previous sweeps of the study has formed the high-quality data resource, that is MCS, for scientific investigation across the life course and domains. The seventh, Age 17 survey (2018-19) added to the data already collected in previous sweeps by updating information on current circumstances of the cohort and experiences they have had since the last sweep. In previous sweeps, schooling will have been the main activity common to the vast majority of cohort members.
CLS
wish
have access
to
access
NHS
Digital
England
data for the purpose of updating participant contact details and mortality information
[9 words unchanged]
contacting participants and maximise involvement in future sweeps conducted within this study.
The mortality data requested (specified in the data summary below) will serve two purposes:
a) CLS database update- We would also like to continue receiving notifications from NHS-Digital informing us of deaths,embarkations (i.e.emigrations) and exits/entry from the NHS, this will include information on updated addresses. These notifications are used to prevent us from seeking to contact those who have died and thus potentially causing distress to friends and relatives. Notifications regarding departure
CLS have previously received record level, identifiable data linked to the cohort from the following datasets.
from Great Britain helps to prevent us wasting resources trying to locate these individuals. New addresses will be used to invite cohort members to take part in future sweeps of the survey.
- MRIS – Cause of Death Report
b) Use for research- The study aims to follow participants from birth to death, collecting information about all aspects of life in between. Obtaining mortality information is crucial for life-course research, where death represents the final outcome.
- MRIS - List Cleaning Report
Data Summary
- MRIS - Members and Postings Report
CLS are requesting access to record level, identifiable data linked to the cohort from the following reports:
- MRIS – Cohort Event Notification Report
-Demographic extract
- MRIS – Flagging Current Status Report
-Cancer register extract
-
-Civil Registration (deaths) extract
MRIS reports were disbanded in 2020 and CLS received the replacement data sets;
UCL's legal bases for processing the data under General Data Protection Regulation is bases under Article 6(1)(e)
-Demographics (CLS now receive Demographics data via DARS-NIC-408892-F1R1Y)
'processing is necessary for the performance of a task carried out in the public interest or in the exercise of official
-Civil Registrations of Deaths
authority vested in the controller' & Article 9(2)(j) 'processing is necessary for archiving purposes in the public interest, scientific or historical research purposes or statistical purposes in accordance with Article 89(1) based on Union or Member State law which shall be proportionate to the aim pursued, respect the essence of the right to data protection and provide for suitable and specific measures to safeguard the fundamental rights and the interests of the data subject'. CLS has received CAG approval to process this data under S251.
The lawful basis for processing personal data under the UK GDPR is Article 6(1)(e) - processing is necessary for the performance of a task carried out in the public interest or in the exercise of official authority vested in the controller;
University College London (UCL) are the sole Data Controller for this agreement. All Data Processors party to this
The lawful basis for processing special category data under UK GDPR is Article 9(2)(j) processing is necessary for archiving purposes in the public interest, scientific or historical research purposes or statistical purposes. In addition, for ethical reasons and under the Common Law Duty of Confidentiality, UCL sought permission from cohort members to access and link their routine health records to their survey data, and to the onward sharing of this linked data in pseudonymised form (via a secure setting with appropriate safeguards).
agreement are acting upon the instruction of the controller.
The Economic and Social Research Council (ESRC) are the funder for this study. The funder will have no ability to suppress or otherwise limit the publication of findings.
Amazon Web Services (AWS) is a processor acting under the instructions of UCL. AWS’ role is limited to secure backup of data stored in UCL’s Data Safe Haven.
UCL uses offsite data centre services provided by VIRTUS data centre. VIRTUS does not have access to the data.
Processing activities
Under this Agreement, the data may be securely stored but not otherwise processed. No new data will be provided by NHS Digital under this Agreement.
This Data Sharing Agreement (DSA) permits University College London to retain data that was supplied under previous iterations of this DSA. The DSA does not permit any other processing of the data.
The study data, including data provided by NHS Digital under previous agreements, are currently held by University College London.
Under previous versions of this DSA CLS transferred data to NHS England. The data consisted of identifying details specifically NHS number, Date of Birth (DOB), first name, Last Name, Middle name, Gender, Postcode and study ID for the cohort to be linked with NHS England data.
The following provides background on the processing activities undertaken prior to this Agreement:
NHS England provided the relevant records from the Demographics and Civil Registrations of Deaths dataset to CLS. The data contained contain directly identifying data items such as Address’, postcodes, NHS Number, DOB, Gender, Fact of Death
1. CLS will supply NHS Digital with a file of around 19000 study members to match to NHS data. The file supplied will contain all cohort members who have ever participated in the study . It will not include study members known to have died.
The data is stored on servers at UCL.
The file will contain the following items:
The data can be accessed by authorised CLS personnel via remote access on UCL-issued devices from their work organisation office or from home. The data will always remain on the servers at UCL CLS. Personnel are prohibited from downloading or copying data to local devices.
-CLS ID
Personnel are prohibited from downloading or copying data to local devices
-First name
The data will not leave the UK.
-Last name
Access is restricted to employees of UCL who have authorisation from the principal investigator of the MCS study.
-Middle name (where available)
All personnel accessing the data have been appropriately trained in data protection and confidentiality
-Sex
-Date of birth
-Last known address and postcode
-NHS number (where available)
2. NHS Digital would supply the following details to CLS
-CLS ID
-Latest surname
-Latest forename
-Latest Middle name (where available)
-gender
-Date of birth
-Latest known address and postcode
-Embarkations(entry/exit from NHS)
-The above as contained in the demographic extract
-Date of address registration or update
-NHS number (where available)
- Fact, Date and Cause of death as contained in the Cancer extract and Civil registration extract.
The data file supplied from NHS Digital, will be processed within CLS and entered into CLS's secure confidential database which is hosted by the UCL Data Safe Heaven (CLSDSH) i.e. CLS will load more recent addresses into the database.
All those accessing the data supplied by NHS Digital are substantive employees of University College London or employees of subcontractor organisations carrying out work on behalf of UCL. CLS have identified the scenarios where NHS Digital data will be processed by CLS and its Data Processors.
On receiving a death notification, respondents would be flagged on our database as having died or emigrated as appropriate.The data file supplied from NHS Digital, will be reviewed by CLS. Where addresses supplied by NHS Digital are new or more recent than the address currently held on the CLS confidential database the new addresses will be uploaded.
CLS will use new confirmed addresses provided by the NHS Digital to write to cohort members at the new addresses and will ask them to confirm their address by return of a reply slip, telephone, email or via our website. CLS will use Copyprint to send correspondence on behalf of CLS. For this purpose CLS will send names and addresses to Copyprint.
If cohort members confirm their address this will be recorded on the CLS database as a confirmed address. If the letter is 'returned to sender' this will be also be recorded on the CLS database. There will also be cases where no confirmation is received and their letter is not returned to sender.
Expected output
This Agreement permits the secure retention of the data only and no other processing.
This Data Sharing Agreement (DSA) permits University College London to retain data that was supplied under previous iterations of this DSA. The DSA does not permit any other processing of the data therefore there will be no new outputs produced under this DSA.
No new outputs will be produced under this Data Sharing Agreement.
[2 paragraphs unchanged]
Outputs of the deaths data :
[1 paragraph unchanged]
Expected measurable benefits
This Agreement permits the secure retention of the data only and no other processing.
The study produces rich, longitudinal, policy-relevant data, currently unavailable elsewhere, for a large, representative sample of children/young adults. MCS data is widely used by policy makers to evaluate and develop policy and improve services for young people and also by academic researchers to chart and understand social change. The information provided by cohort members provides valuable evidence for the research and policy community about the cohort's transitions to education/work and into early adult life. To enhance the research resource for secondary users, a fully documented, pseudonymised dataset collected at age 17 was archived at the UK Data Service.
The study produces rich, longitudinal, policy-relevant data, currently unavailable elsewhere, for a large,representative sample of children/young adults. MCS data is widely used by policy makers to evaluate and develop policy and improve services for young people and also by academic researchers to chart and understand social change. The information provided by cohort members provides valuable evidence for the research and policy community about the cohort's transitions to education/work and into early adult life. To enhance the research resource for secondary users, a fully documented, pseudonymised dataset collected at age 17 was archived at the UK Data Service.
[2 paragraphs unchanged]
The cohort members' health is an important aspect in the Age 17 Sweep. Cohort members were asked a range of questions about their physical and emotional health and
wellbeing .
wellbeing.
There is, however, a great deal more information about potential underlying determinants, in this and the earlier sweeps of MCS, available for researchers via the UKDS.
[19 paragraphs unchanged]
AMOS, R, MANALASTAS, E.J, WHITE, R, BOS, H and PATALAY, P. (2019) Mental health, social adversity, and
healthrelated
health related
outcomes in sexual minority adolescents: a contemporary national cohort study. Lancet Child and Adolescent Health,4(1), 36-45.
Benefits reported
[6 paragraphs unchanged]
The research, published with the National Children’s Bureau, also investigated links between
[14 words unchanged]
have high levels of depressive symptoms compared to their peers from poorer
homes.Parents’
homes. Parents’
reports of emotional problems were roughly the same for boys and girls
[79 words unchanged]
likely than girls to have behaviour problems throughout childhood and early adolescence.
[2 paragraphs unchanged]
One in five young people born in the UK at the turn
[8 words unchanged]
of 14, and a further 15 per cent were found to be
overweight.Researchers
overweight. Researchers
from the Centre for Longitudinal Studies (CLS) at the UCL Institute of
[25 words unchanged]
from UK governments to tackle the childhood obesity epidemic over the coming
years.In
years. In
response to public concern over childhood obesity, the most significant steps in
[179 words unchanged]
home, had lower odds of being overweight and obese at age 14.
[11 paragraphs unchanged]
Objective for processing
This Data Sharing Agreement (DSA) permits University College London to retain data that was supplied under previous iterations of this DSA. The DSA does not permit any other processing of the data.
The following gives an overview of the study and purposes from historic disseminations.
The Centre for Longitudinal Studies (CLS) at University College London (UCL)requires access to NHS England data for the purpose of the Millennium Cohort Study (MCS) also known as the ‘Child of the New Century’.
MCS is following the lives of around 19000 young people born across England, Scotland, Wales and Northern Ireland in 2000-02.
MCS is renowned worldwide for the evidence it provides on children’s experience of growing up in the United Kingdom in the 21st Century. Since the study’s launch there have been seven attempts to re-contact and gather information from the whole cohort (at ages 9 months, 3 years, 5 years, 7 years, 11 years, 14 years and 17 years). The MCS covers diverse topics as parenting; childcare; schooling and education (e.g academic qualifications, vocational qualifications); daily activities and behaviour; cognitive development; child and parent mental and physical health; employment and education; income and poverty; housing, neighbourhood, and residential mobility; and social capital, ethnicity and identity.
The information collected in previous sweeps of the study has formed the high-quality data resource, that is MCS, for scientific investigation across the life course and domains. The seventh, Age 17 survey (2018-19) added to the data already collected in previous sweeps by updating information on current circumstances of the cohort and experiences they have had since the last sweep. In previous sweeps, schooling will have been the main activity common to the vast majority of cohort members.
CLS have access to NHS England data for the purpose of updating participant contact details and mortality information held on CLS systems and for the purpose of contacting participants and maximise involvement in future sweeps conducted within this study.
CLS have previously received record level, identifiable data linked to the cohort from the following datasets.
- MRIS – Cause of Death Report
- MRIS - List Cleaning Report
- MRIS - Members and Postings Report
- MRIS – Cohort Event Notification Report
- MRIS – Flagging Current Status Report
-
MRIS reports were disbanded in 2020 and CLS received the replacement data sets;
-Demographics (CLS now receive Demographics data via DARS-NIC-408892-F1R1Y)
-Civil Registrations of Deaths
The lawful basis for processing personal data under the UK GDPR is Article 6(1)(e) - processing is necessary for the performance of a task carried out in the public interest or in the exercise of official authority vested in the controller;
The lawful basis for processing special category data under UK GDPR is Article 9(2)(j) processing is necessary for archiving purposes in the public interest, scientific or historical research purposes or statistical purposes. In addition, for ethical reasons and under the Common Law Duty of Confidentiality, UCL sought permission from cohort members to access and link their routine health records to their survey data, and to the onward sharing of this linked data in pseudonymised form (via a secure setting with appropriate safeguards).
The Economic and Social Research Council (ESRC) are the funder for this study. The funder will have no ability to suppress or otherwise limit the publication of findings.
Amazon Web Services (AWS) is a processor acting under the instructions of UCL. AWS’ role is limited to secure backup of data stored in UCL’s Data Safe Haven.
UCL uses offsite data centre services provided by VIRTUS data centre. VIRTUS does not have access to the data.
Expected output
This Data Sharing Agreement (DSA) permits University College London to retain data that was supplied under previous iterations of this DSA. The DSA does not permit any other processing of the data therefore there will be no new outputs produced under this DSA.
The scientific priorities and questionnaire content will be elaborated and developed in consultation with the academic and policy community with the aim of collecting both information relevant to their lives at age 22 and to later life outcomes, as well as repeat measures of topics covered at age 17. CLS will continue to prospectively harmonise the content with other comparable cohorts, particularly those in the UK, by drawing on comparable measures at a similar age. All surveys are overseen by the CLS Strategic Advisory Board (SAB) which contains representatives from UKRI, Wellcome Trust, Medical Research Council, the scientific community and government departments. The SAB provide high level strategic oversight for CLS to ensure the cohort studies led by the centre are developed, managed and maintained in a manner that maximises their benefit as long-term scientific resources of importance both nationally and internationally, while protecting participants’ interests The SAB ensure that the content is closely aligned with research priorities, as well as the areas of research interest (ARIs) published by government departments. CLS will reflect these priorities when deciding on the major themes which CLS intend to cover at the next sweep collection at age 22 provisionally planned to take place in 2021.
CLS will continue to produce outputs from the study via the UK Data Service in the form of aggregated report for the benefit of the wider research community as previous interest in MCS data has proven to be sought in a large scope of research areas. CLS will also publish papers in a range of journals; however it is not possible to provide detail at this point as to precisely which journals and dates, but the intention is to produce outputs along the same lines as those produced after the previous sweep.
This information has been used to prevent us from seeking to contact those who have died and thus potentially causing distress to family and friends. Information on exit/entries from NHS Digital have prevented us from wasting resources contacting individuals who are no longer in Great Britain. The demographic data has been used to update CLS ‘s database with new addresses which have been used to maintain contact with study members e.g to send them a special birthday mailing for their birthday and then later to invite them to take part in the future surveys.
Benefits reported
MCS has provided important evidence to show how circumstances in the very first stages of life can influence later health and development.
Research based on MCS has shown that the likelihood of being breastfed is affected by which day in the week a child is born, which has strong subsequent effects on cognitive development. More details about this study can be found here http://www.homepages.ucl.ac.uk/~uctpamv/papers/breastfeeding.pdf
The study has contributed crucial evidence on two major health issues facing this generation; the high rates of both mental-ill health and obesity among this age group, now in their teens.
Mental Health study
New research using information from MCS shows a quarter of girls (24%) and one in 10 boys (9%) are depressed at age 14. Researchers from the UCL Institute of Education and the University of Liverpool analysed information on more than 10,000 children born in 2000-01 who are taking part in the Millennium Cohort Study.
At ages 3, 5, 7, 11 and 14, parents reported on their children’s mental health. Then, when they reached 14, the children were themselves asked questions about their depressive symptoms. Based on the 14-year-olds reporting of their emotional problems, 24 per cent of girls and 9 per cent of boys suffer from depression.
The research, published with the National Children’s Bureau, also investigated links between depressive symptoms and family income. Generally, 14-year-olds from better-off families were less likely to have high levels of depressive symptoms compared to their peers from poorer homes. Parents’ reports of emotional problems were roughly the same for boys and girls throughout childhood, increasing from 7 per cent of children at age 7 to 12 per cent at age 11. However, by the time they reached early adolescence at age 14, emotional problems became more prevalent in girls, with 18 per cent having symptoms of depression and anxiety, compared to 12 per cent of boys. Behaviour problems, such as acting out, fighting and being rebellious decreased from infancy to age 5, but then increased to age 14. Boys were more likely than girls to have behaviour problems throughout childhood and early adolescence.
As 14-year-olds’ own reports of their emotional problems were different to their parents’, this research highlights the importance of considering young people’s views on their own mental health.
Obesity study
One in five young people born in the UK at the turn of the century was obese by the age of 14, and a further 15 per cent were found to be overweight. Researchers from the Centre for Longitudinal Studies (CLS) at the UCL Institute of Education analysed information on more than 10,000 teenagers who are taking part in the Millennium Cohort Study. These latest findings reinforce the importance of plans from UK governments to tackle the childhood obesity epidemic over the coming years. In response to public concern over childhood obesity, the most significant steps in recent government policy include the introduction of a levy on added sugar in soft drinks in April 2018, and a programme to reduce sugar across a range of products by 20 per cent by 2020, alongside reductions in salt and saturated fat. The report from CLS, which is published with a briefing paper on Thursday (7 December), reveals that although the same proportion of boys and girls were obese (20%), rates of overweight were slightly higher for girls (16%) than boys (13%). Rates of excess weight varied by country, with almost 40 per cent of young people in Northern Ireland overweight or obese, compared to 38 per cent in Wales, and 35 per cent in both Scotland and England. There was a clear link between young people’s weight and their mothers’ level of education. Almost 40 per cent of 14-year-olds whose mothers had only GCSE qualifications were overweight or obese, compared to 26 per cent of those whose mothers had a degree or higher qualifications. In addition, children who were breastfed as infants, and those whose parents owned their home, had lower odds of being overweight and obese at age 14.
The researchers also analysed information on children’s height and weight at ages 3, 5, 7, 11 and 14, to uncover patterns of weight gain across childhood. They found that rates of overweight and obesity increased slightly from ages 3 to 7, but rose significantly at age 11, from 25 per cent to 35 per cent, with this increase being especially strong among boys. By age 14, however, they discovered that rates of excess weight had stabilised. While boys were slightly less likely to have become overweight and obese than to have become a normal weight by age 14, for girls the opposite was the case.
Below are examples of existing publications using the Millennium Cohort Study data benefiting public health.
Smoking in pregnancy
Several studies based on MCS have looked at how smoking during pregnancy relates to children's development. One group of researchers found that babies with mothers who smoked at any point while they were pregnant weighed on average 146 grams less when they were born (around the weight of a smartphone) than babies with mums who did not smoke. Overall, the more cigarettes a mother smoked a day, the less her baby weighed at birth.
Babies with mothers whose partners smoked around them while they were pregnant also weighed on average 36 grams less (about the weight of a chocolate bar) than those with mothers who were not exposed to smoke.
Another research study has suggested that children are more likely to have behaviour problems at age 3 if their mothers smoke while they are pregnant.
Breastfeeding and child health
An influential study found that babies who were breastfed in the first months of their lives were less likely to go to hospital for diarrhoea or respiratory problems, such as infections and pneumonia. The researchers estimated that half of hospital stays for diarrhoea, and a quarter of stays for respiratory problems, could be prevented every month if all babies in the UK were fed entirely on breast milk for at least six months.
Breastfeeding and child development
Between ages 3 and 7 MCS children took part in a range of activities to show which words they knew and the patterns they could identify in shapes and images. Studies have found that children who were breastfed tended to do better in these exercises and to have less behaviour problems.
Research has also suggested that there is a relationship between breastfeeding and young children's ability to coordinate the movements of their arms and legs and to reach milestones such as standing up for the first time and taking their first steps.
DARS-NIC-147860-0RSHN-v2.6 20 December 2021 to 19 December 2022
- Title
- Centre for Longitudinal Studies - Millennium Cohort Study (MCS) - Child of the New Century (MR737) -Mortality
- Commercial
- No
- Sublicensing
- No
- Datasets
- 6
- Files released
- 0
Datasets: Civil Registrations of Death; Demographics; MRIS - Cause of Death Report; MRIS - Cohort Event Notification Report; MRIS - Flagging Current Status Report; MRIS - Members and Postings Report
What changed from DARS-NIC-147860-0RSHN-v1.3
Text removed is struck through; text added is underlined. Unchanged paragraphs are summarised rather than repeated.
| Field | Was | Became |
|---|---|---|
| Title | Centre for Longitudinal Studies - Millennium Cohort Study (MCS) - Child of the New Century (MR737) -Mortality | |
| Start date | 2021-12-20 | |
| End date | 2022-12-19 | |
| MRIS - Cause of Death Report: legal basis | Health and Social Care Act 2012 – s261(7); National Health Service Act 2006 - s251 - 'Control of patient information'. | |
| MRIS - Cohort Event Notification Report: legal basis | Health and Social Care Act 2012 – s261(7); National Health Service Act 2006 - s251 - 'Control of patient information'. | |
| MRIS - Flagging Current Status Report: legal basis | Health and Social Care Act 2012 – s261(7); National Health Service Act 2006 - s251 - 'Control of patient information'. | |
| MRIS - Members and Postings Report: legal basis | Health and Social Care Act 2012 – s261(7); National Health Service Act 2006 - s251 - 'Control of patient information'. |
Datasets: + Civil Registrations of Death; + Demographics
Objective for processing
This Data Sharing Agreement permits the retention of the data provided under previous iterations of this Agreement for an interim period. This is a pragmatic approach to provide an active Agreement whilst enabling University College London to complete the necessary actions to enable a subsequent application to extend the Agreement meeting all applicable data sharing standards as published in NHS Digital’s website (see: https://digital.nhs.uk/services/data-access-request-service-dars/dars-guidance).
This Data Sharing Agreement permits the retention of the data provided under previous iterations of this Agreement. No new data will be supplied by NHS Digital under this version of the Agreement.
[19 paragraphs unchanged]
Unchanged: Processing activities, Expected output, Expected measurable benefits, Benefits reported.
Objective for processing
This Data Sharing Agreement permits the retention of the data provided under previous iterations of this Agreement. No new data will be supplied by NHS Digital under this version of the Agreement.
The following provides background information on the purpose of the original study:
The Millennium Cohort Study (MCS) is a multidisciplinary research project following the lives of over 19,000 children in the UK born in 2000/1. It is the most recent of Britain's world-renowned national longitudinal birth cohort studies. Each follows a large number of individuals born at a particular time through the course of their lives, charting the effects of events and circumstances in early life on outcomes and achievements later on. The study has been tracking the Millennium children through their early childhood years and plans to follow them into adulthood. The seven surveys of the MCS carried out so far at 9 months (2001/2), 3 years (2003/4), 5 years (2006), 7 years (2008), 11 years (2012), 14 years (2015) and 17 Years (2018) have built up a uniquely detailed picture of the children of the new century and their families. The study is carried out by the Centre for Longitudinal Studies at the Institute of Education, University College London. It is funded by the UK Research and Innovation (UKRI) formerly known as ESRC and a consortium of UK Government departments.
In 2000/02, when the first survey was carried out, consent to participate in surveys was gained by parents respondents agreeing to be interviewed or respondents returning the completed questionnaire to the study team. Involvement in subsequent surveys adopted the same approach. Individuals could withdraw from the study at any time by simply expressing the wish to do so. In all recent follow-ups the approach to collecting consent has been very similar. During fieldwork, Parents were sent an advance letter advising them about the survey. The letter was accompanied by an information leaflet explaining what is involved. Parents had the opportunity to request further information, or to opt out of the survey at this point. They could also seek further information, or refuse further involvement when the interviewer attempted to make an appointment to visit; when the interviewer visited and at any point during the administration of any elements of the surveys. During age 17 survey, Face-to-face interviews were conducted with the cohort members for the first time (including asking if they would be willing to consent to
data linkage). Parental involvement at MCS7 was minimal.
Of the approximately 19000 individuals that have ever participated in the study there will always be a number of individuals for whom the Centre for Longitudinal Studies (CLS) at University College London will not have a confirmed addresses or who may have died at the time of carrying out the next survey. The ongoing success of the study depends on maintaining contact with as large a number of study members as possible and without causing distress to relatives of those who died.
CLS wish to access NHS Digital data for the purpose of updating participant contact details and mortality information held on CLS systems and for the purpose of contacting participants and maximise involvement in future sweeps conducted within this study. The mortality data requested (specified in the data summary below) will serve two purposes:
a) CLS database update- We would also like to continue receiving notifications from NHS-Digital informing us of deaths,embarkations (i.e.emigrations) and exits/entry from the NHS, this will include information on updated addresses. These notifications are used to prevent us from seeking to contact those who have died and thus potentially causing distress to friends and relatives. Notifications regarding departure
from Great Britain helps to prevent us wasting resources trying to locate these individuals. New addresses will be used to invite cohort members to take part in future sweeps of the survey.
b) Use for research- The study aims to follow participants from birth to death, collecting information about all aspects of life in between. Obtaining mortality information is crucial for life-course research, where death represents the final outcome.
Data Summary
CLS are requesting access to record level, identifiable data linked to the cohort from the following reports:
-Demographic extract
-Cancer register extract
-Civil Registration (deaths) extract
UCL's legal bases for processing the data under General Data Protection Regulation is bases under Article 6(1)(e)
'processing is necessary for the performance of a task carried out in the public interest or in the exercise of official
authority vested in the controller' & Article 9(2)(j) 'processing is necessary for archiving purposes in the public interest, scientific or historical research purposes or statistical purposes in accordance with Article 89(1) based on Union or Member State law which shall be proportionate to the aim pursued, respect the essence of the right to data protection and provide for suitable and specific measures to safeguard the fundamental rights and the interests of the data subject'. CLS has received CAG approval to process this data under S251.
University College London (UCL) are the sole Data Controller for this agreement. All Data Processors party to this
agreement are acting upon the instruction of the controller.
Expected output
This Agreement permits the secure retention of the data only and no other processing.
No new outputs will be produced under this Data Sharing Agreement.
The scientific priorities and questionnaire content will be elaborated and developed in consultation with the academic and policy community with the aim of collecting both information relevant to their lives at age 22 and to later life outcomes, as well as repeat measures of topics covered at age 17. CLS will continue to prospectively harmonise the content with other comparable cohorts, particularly those in the UK, by drawing on comparable measures at a similar age. All surveys are overseen by the CLS Strategic Advisory Board (SAB) which contains representatives from UKRI, Wellcome Trust, Medical Research Council, the scientific community and government departments. The SAB provide high level strategic oversight for CLS to ensure the cohort studies led by the centre are developed, managed and maintained in a manner that maximises their benefit as long-term scientific resources of importance both nationally and internationally, while protecting participants’ interests The SAB ensure that the content is closely aligned with research priorities, as well as the areas of research interest (ARIs) published by government departments. CLS will reflect these priorities when deciding on the major themes which CLS intend to cover at the next sweep collection at age 22 provisionally planned to take place in 2021.
CLS will continue to produce outputs from the study via the UK Data Service in the form of aggregated report for the benefit of the wider research community as previous interest in MCS data has proven to be sought in a large scope of research areas. CLS will also publish papers in a range of journals; however it is not possible to provide detail at this point as to precisely which journals and dates, but the intention is to produce outputs along the same lines as those produced after the previous sweep.
Outputs of the deaths data :
This information has been used to prevent us from seeking to contact those who have died and thus potentially causing distress to family and friends. Information on exit/entries from NHS Digital have prevented us from wasting resources contacting individuals who are no longer in Great Britain. The demographic data has been used to update CLS 's database with new addresses which have been used to maintain contact with study members e.g to send them a special birthday mailing for their birthday and then later to invite them to take part in the future surveys.
Benefits reported
MCS has provided important evidence to show how circumstances in the very first stages of life can influence later health and development.
Research based on MCS has shown that the likelihood of being breastfed is affected by which day in the week a child is born, which has strong subsequent effects on cognitive development. More details about this study can be found here http://www.homepages.ucl.ac.uk/~uctpamv/papers/breastfeeding.pdf
The study has contributed crucial evidence on two major health issues facing this generation; the high rates of both mental-ill health and obesity among this age group, now in their teens.
Mental Health study
New research using information from MCS shows a quarter of girls (24%) and one in 10 boys (9%) are depressed at age 14. Researchers from the UCL Institute of Education and the University of Liverpool analysed information on more than 10,000 children born in 2000-01 who are taking part in the Millennium Cohort Study.
At ages 3, 5, 7, 11 and 14, parents reported on their children’s mental health. Then, when they reached 14, the children were themselves asked questions about their depressive symptoms. Based on the 14-year-olds reporting of their emotional problems, 24 per cent of girls and 9 per cent of boys suffer from depression.
The research, published with the National Children’s Bureau, also investigated links between depressive symptoms and family income. Generally, 14-year-olds from better-off families were less likely to have high levels of depressive symptoms compared to their peers from poorer homes.Parents’ reports of emotional problems were roughly the same for boys and girls throughout childhood, increasing from 7 per cent of children at age 7 to 12 per cent at age 11. However, by the time they reached early adolescence at age 14, emotional problems became more prevalent in girls, with 18 per cent having symptoms of depression and anxiety, compared to 12 per cent of boys. Behaviour problems, such as acting out, fighting and being rebellious decreased from infancy to age 5, but then increased to age 14. Boys were more likely than girls to have behaviour problems throughout childhood and early adolescence.
As 14-year-olds’ own reports of their emotional problems were different to their parents’, this research highlights the importance of considering young people’s views on their own mental health.
Obesity study
One in five young people born in the UK at the turn of the century was obese by the age of 14, and a further 15 per cent were found to be overweight.Researchers from the Centre for Longitudinal Studies (CLS) at the UCL Institute of Education analysed information on more than 10,000 teenagers who are taking part in the Millennium Cohort Study. These latest findings reinforce the importance of plans from UK governments to tackle the childhood obesity epidemic over the coming years.In response to public concern over childhood obesity, the most significant steps in recent government policy include the introduction of a levy on added sugar in soft drinks in April 2018, and a programme to reduce sugar across a range of products by 20 per cent by 2020, alongside reductions in salt and saturated fat. The report from CLS, which is published with a briefing paper on Thursday (7 December), reveals that although the same proportion of boys and girls were obese (20%), rates of overweight were slightly higher for girls (16%) than boys (13%). Rates of excess weight varied by country, with almost 40 per cent of young people in Northern Ireland overweight or obese, compared to 38 per cent in Wales, and 35 per cent in both Scotland and England. There was a clear link between young people’s weight and their mothers’ level of education. Almost 40 per cent of 14-year-olds whose mothers had only GCSE qualifications were overweight or obese, compared to 26 per cent of those whose mothers had a degree or higher qualifications. In addition, children who were breastfed as infants, and those whose parents owned their home, had lower odds of being overweight and obese at age 14.
The researchers also analysed information on children’s height and weight at ages 3, 5, 7, 11 and 14, to uncover patterns of weight gain across childhood. They found that rates of overweight and obesity increased slightly from ages 3 to 7, but rose significantly at age 11, from 25 per cent to 35 per cent, with this increase being especially strong among boys. By age 14, however, they discovered that rates of excess weight had stabilised. While boys were slightly less likely to have become overweight and obese than to have become a normal weight by age 14, for girls the opposite was the case.
Below are examples of existing publications using the Millennium Cohort Study data benefiting public health.
Smoking in pregnancy
Several studies based on MCS have looked at how smoking during pregnancy relates to children's development. One group of researchers found that babies with mothers who smoked at any point while they were pregnant weighed on average 146 grams less when they were born (around the weight of a smartphone) than babies with mums who did not smoke. Overall, the more cigarettes a mother smoked a day, the less her baby weighed at birth.
Babies with mothers whose partners smoked around them while they were pregnant also weighed on average 36 grams less (about the weight of a chocolate bar) than those with mothers who were not exposed to smoke.
Another research study has suggested that children are more likely to have behaviour problems at age 3 if their mothers smoke while they are pregnant.
Breastfeeding and child health
An influential study found that babies who were breastfed in the first months of their lives were less likely to go to hospital for diarrhoea or respiratory problems, such as infections and pneumonia. The researchers estimated that half of hospital stays for diarrhoea, and a quarter of stays for respiratory problems, could be prevented every month if all babies in the UK were fed entirely on breast milk for at least six months.
Breastfeeding and child development
Between ages 3 and 7 MCS children took part in a range of activities to show which words they knew and the patterns they could identify in shapes and images. Studies have found that children who were breastfed tended to do better in these exercises and to have less behaviour problems.
Research has also suggested that there is a relationship between breastfeeding and young children's ability to coordinate the movements of their arms and legs and to reach milestones such as standing up for the first time and taking their first steps.
DARS-NIC-147860-0RSHN-v1.3 1 September 2020 to 8 December 2020
- Title
- Centre for Longitudinal Studies - Millennium Cohort Study (MCS) - Child of the New Century (MR737)
- Commercial
- No
- Sublicensing
- No
- Datasets
- 4
- Files released
- 0
Datasets: MRIS - Cause of Death Report; MRIS - Cohort Event Notification Report; MRIS - Flagging Current Status Report; MRIS - Members and Postings Report
What changed from DARS-NIC-147860-0RSHN-v0.0
Text removed is struck through; text added is underlined. Unchanged paragraphs are summarised rather than repeated.
| Field | Was | Became |
|---|---|---|
| Title | Centre for Longitudinal Studies - Millennium Cohort Study (MCS) - Child of the New Century (MR737) | |
| Start date | 2020-09-01 | |
| End date | 2020-12-08 | |
| MRIS - Cause of Death Report: legal basis | Health and Social Care Act 2012 – s261(7) | |
| MRIS - Cause of Death Report: common law duty of confidentiality | Section 251 NHS Act 2006 | |
| MRIS - Cohort Event Notification Report: legal basis | Health and Social Care Act 2012 – s261(7) | |
| MRIS - Cohort Event Notification Report: sensitivity | Sensitive | |
| MRIS - Cohort Event Notification Report: common law duty of confidentiality | Section 251 NHS Act 2006 | |
| MRIS - Flagging Current Status Report: legal basis | Health and Social Care Act 2012 – s261(7) | |
| MRIS - Flagging Current Status Report: sensitivity | Sensitive | |
| MRIS - Flagging Current Status Report: common law duty of confidentiality | Section 251 NHS Act 2006 | |
| MRIS - Members and Postings Report: legal basis | Health and Social Care Act 2012 – s261(7) | |
| MRIS - Members and Postings Report: sensitivity | Sensitive | |
| MRIS - Members and Postings Report: common law duty of confidentiality | Section 251 NHS Act 2006 |
Data controllers:
+ UNIVERSITY COLLEGE LONDON (UCL) · − UNIVERSITY OF LONDON (UOL)
Datasets:
− MRIS - Personal Demographics Service; − MRIS - Scottish NHS / Registration
Objective for processing
ESRC Millennium Cohort Study (MCS) Child of the New CenturyA longitudinal cohort study involving parental interviews of participating babies, when the baby was about 9-10 months old. The main aim is to lay the foundations of a multi-purpose dataset to be used into the future by the researchers. In the short term, it will enable a national study of the childhood in the first years of the new Millennium.The objectives are to:1) Chart the initial conditions of social, economic and health advantages and disadvantages facing new children in the new century, capturing information that the research community of the future will require.2) Provide a basis for comparing patterns of development with that of members of the preceding cohorts.3) Collect information on previously neglected topics, such as father's involvement in the children's care and development.4) Focus on the children's parents as the mist immediate elements of the child's 'background', charting their experience as mothers and fathers of this year's babies, to record how they (and any other children in the family) are adapting to the newcomer, and what their aspirations for his/her future may be.5) Establish intergenerational links including those back to the parent's own childhood.6) Investigate the wider social ecology of the family including, social networks, civic engagement and community facilities and services, splicing in geo-coded data when available.7) Improve the quality and completeness of the health data and linkage on pregnancy and birth by collecting information available on hospital records and birth registrations. Assessing the health and other outcomes of recruited individuals over a life-long period in relation to the social, health and clinical conditions identified around and at the time of birth.
This Data Sharing Agreement permits the retention of the data provided under previous iterations of this Agreement for an interim period. This is a pragmatic approach to provide an active Agreement whilst enabling University College London to complete the necessary actions to enable a subsequent application to extend the Agreement meeting all applicable data sharing standards as published in NHS Digital’s website (see: https://digital.nhs.uk/services/data-access-request-service-dars/dars-guidance).
The following provides background information on the purpose of the original study:
The Millennium Cohort Study (MCS) is a multidisciplinary research project following the lives of over 19,000 children in the UK born in 2000/1. It is the most recent of Britain's world-renowned national longitudinal birth cohort studies. Each follows a large number of individuals born at a particular time through the course of their lives, charting the effects of events and circumstances in early life on outcomes and achievements later on. The study has been tracking the Millennium children through their early childhood years and plans to follow them into adulthood. The seven surveys of the MCS carried out so far at 9 months (2001/2), 3 years (2003/4), 5 years (2006), 7 years (2008), 11 years (2012), 14 years (2015) and 17 Years (2018) have built up a uniquely detailed picture of the children of the new century and their families. The study is carried out by the Centre for Longitudinal Studies at the Institute of Education, University College London. It is funded by the UK Research and Innovation (UKRI) formerly known as ESRC and a consortium of UK Government departments.
In 2000/02, when the first survey was carried out, consent to participate in surveys was gained by parents respondents agreeing to be interviewed or respondents returning the completed questionnaire to the study team. Involvement in subsequent surveys adopted the same approach. Individuals could withdraw from the study at any time by simply expressing the wish to do so. In all recent follow-ups the approach to collecting consent has been very similar. During fieldwork, Parents were sent an advance letter advising them about the survey. The letter was accompanied by an information leaflet explaining what is involved. Parents had the opportunity to request further information, or to opt out of the survey at this point. They could also seek further information, or refuse further involvement when the interviewer attempted to make an appointment to visit; when the interviewer visited and at any point during the administration of any elements of the surveys. During age 17 survey, Face-to-face interviews were conducted with the cohort members for the first time (including asking if they would be willing to consent to
data linkage). Parental involvement at MCS7 was minimal.
Of the approximately 19000 individuals that have ever participated in the study there will always be a number of individuals for whom the Centre for Longitudinal Studies (CLS) at University College London will not have a confirmed addresses or who may have died at the time of carrying out the next survey. The ongoing success of the study depends on maintaining contact with as large a number of study members as possible and without causing distress to relatives of those who died.
CLS wish to access NHS Digital data for the purpose of updating participant contact details and mortality information held on CLS systems and for the purpose of contacting participants and maximise involvement in future sweeps conducted within this study. The mortality data requested (specified in the data summary below) will serve two purposes:
a) CLS database update- We would also like to continue receiving notifications from NHS-Digital informing us of deaths,embarkations (i.e.emigrations) and exits/entry from the NHS, this will include information on updated addresses. These notifications are used to prevent us from seeking to contact those who have died and thus potentially causing distress to friends and relatives. Notifications regarding departure
from Great Britain helps to prevent us wasting resources trying to locate these individuals. New addresses will be used to invite cohort members to take part in future sweeps of the survey.
b) Use for research- The study aims to follow participants from birth to death, collecting information about all aspects of life in between. Obtaining mortality information is crucial for life-course research, where death represents the final outcome.
Data Summary
CLS are requesting access to record level, identifiable data linked to the cohort from the following reports:
-Demographic extract
-Cancer register extract
-Civil Registration (deaths) extract
UCL's legal bases for processing the data under General Data Protection Regulation is bases under Article 6(1)(e)
'processing is necessary for the performance of a task carried out in the public interest or in the exercise of official
authority vested in the controller' & Article 9(2)(j) 'processing is necessary for archiving purposes in the public interest, scientific or historical research purposes or statistical purposes in accordance with Article 89(1) based on Union or Member State law which shall be proportionate to the aim pursued, respect the essence of the right to data protection and provide for suitable and specific measures to safeguard the fundamental rights and the interests of the data subject'. CLS has received CAG approval to process this data under S251.
University College London (UCL) are the sole Data Controller for this agreement. All Data Processors party to this
agreement are acting upon the instruction of the controller.
Processing activities
Not stated in the previous version; added here.
Under this Agreement, the data may be securely stored but not otherwise processed. No new data will be provided by NHS Digital under this Agreement.
The study data, including data provided by NHS Digital under previous agreements, are currently held by University College London.
The following provides background on the processing activities undertaken prior to this Agreement:
1. CLS will supply NHS Digital with a file of around 19000 study members to match to NHS data. The file supplied will contain all cohort members who have ever participated in the study . It will not include study members known to have died.
The file will contain the following items:
-CLS ID
-First name
-Last name
-Middle name (where available)
-Sex
-Date of birth
-Last known address and postcode
-NHS number (where available)
2. NHS Digital would supply the following details to CLS
-CLS ID
-Latest surname
-Latest forename
-Latest Middle name (where available)
-gender
-Date of birth
-Latest known address and postcode
-Embarkations(entry/exit from NHS)
-The above as contained in the demographic extract
-Date of address registration or update
-NHS number (where available)
- Fact, Date and Cause of death as contained in the Cancer extract and Civil registration extract.
The data file supplied from NHS Digital, will be processed within CLS and entered into CLS's secure confidential database which is hosted by the UCL Data Safe Heaven (CLSDSH) i.e. CLS will load more recent addresses into the database.
All those accessing the data supplied by NHS Digital are substantive employees of University College London or employees of subcontractor organisations carrying out work on behalf of UCL. CLS have identified the scenarios where NHS Digital data will be processed by CLS and its Data Processors.
On receiving a death notification, respondents would be flagged on our database as having died or emigrated as appropriate.The data file supplied from NHS Digital, will be reviewed by CLS. Where addresses supplied by NHS Digital are new or more recent than the address currently held on the CLS confidential database the new addresses will be uploaded.
CLS will use new confirmed addresses provided by the NHS Digital to write to cohort members at the new addresses and will ask them to confirm their address by return of a reply slip, telephone, email or via our website. CLS will use Copyprint to send correspondence on behalf of CLS. For this purpose CLS will send names and addresses to Copyprint.
If cohort members confirm their address this will be recorded on the CLS database as a confirmed address. If the letter is 'returned to sender' this will be also be recorded on the CLS database. There will also be cases where no confirmation is received and their letter is not returned to sender.
Expected output
Not stated in the previous version; added here.
This Agreement permits the secure retention of the data only and no other processing.
No new outputs will be produced under this Data Sharing Agreement.
The scientific priorities and questionnaire content will be elaborated and developed in consultation with the academic and policy community with the aim of collecting both information relevant to their lives at age 22 and to later life outcomes, as well as repeat measures of topics covered at age 17. CLS will continue to prospectively harmonise the content with other comparable cohorts, particularly those in the UK, by drawing on comparable measures at a similar age. All surveys are overseen by the CLS Strategic Advisory Board (SAB) which contains representatives from UKRI, Wellcome Trust, Medical Research Council, the scientific community and government departments. The SAB provide high level strategic oversight for CLS to ensure the cohort studies led by the centre are developed, managed and maintained in a manner that maximises their benefit as long-term scientific resources of importance both nationally and internationally, while protecting participants’ interests The SAB ensure that the content is closely aligned with research priorities, as well as the areas of research interest (ARIs) published by government departments. CLS will reflect these priorities when deciding on the major themes which CLS intend to cover at the next sweep collection at age 22 provisionally planned to take place in 2021.
CLS will continue to produce outputs from the study via the UK Data Service in the form of aggregated report for the benefit of the wider research community as previous interest in MCS data has proven to be sought in a large scope of research areas. CLS will also publish papers in a range of journals; however it is not possible to provide detail at this point as to precisely which journals and dates, but the intention is to produce outputs along the same lines as those produced after the previous sweep.
Outputs of the deaths data :
This information has been used to prevent us from seeking to contact those who have died and thus potentially causing distress to family and friends. Information on exit/entries from NHS Digital have prevented us from wasting resources contacting individuals who are no longer in Great Britain. The demographic data has been used to update CLS 's database with new addresses which have been used to maintain contact with study members e.g to send them a special birthday mailing for their birthday and then later to invite them to take part in the future surveys.
Expected measurable benefits
Not stated in the previous version; added here.
This Agreement permits the secure retention of the data only and no other processing.
The study produces rich, longitudinal, policy-relevant data, currently unavailable elsewhere, for a large,representative sample of children/young adults. MCS data is widely used by policy makers to evaluate and develop policy and improve services for young people and also by academic researchers to chart and understand social change. The information provided by cohort members provides valuable evidence for the research and policy community about the cohort's transitions to education/work and into early adult life. To enhance the research resource for secondary users, a fully documented, pseudonymised dataset collected at age 17 was archived at the UK Data Service.
The upcoming MCS Age 22 and previous age 17 survey data will enrich the already deposited data for the cohort (waves 1 to 6) and is expected to be particularly valuable for the research community, including researchers in health and social care, providing rich survey data on a range of different domains of young people's lives. Particularly beneficial is the opportunity for a life course approach and to follow young people's experiences over time to analyse later life outcomes.
MCS data is a resource with great potential for the research and policy community, and the information collected on health and its social determinants widens its potential value for health research and policy interventions. Through the set up at the UK Data Service, researchers are able to apply and carry out research utilising the established link to benefit health and social care.
The cohort members' health is an important aspect in the Age 17 Sweep. Cohort members were asked a range of questions about their physical and emotional health and wellbeing . There is, however, a great deal more information about potential underlying determinants, in this and the earlier sweeps of MCS, available for researchers via the UKDS.
Below are some examples of existing publications using MCS data.
Light drinking in pregnancy, a risk for behavioural problems and cognitive deficits at 3 years of age? (2009) by Yvonne Kelly, Amanda Sacker, Ron Gray, John Kelly, Dieter Wolke and Maria Quigley
Light drinking during pregnancy: still no increased risk for socioemotional difficulties or cognitive deficits at 5 years of age? (2010) by Yvonne Kelly, Amanda Sacker, Ron Gray, John Kelly, Dieter Wolke, Jenny Head and Maria Quigley
Light drinking versus abstinence in pregnancy -behavioural and cognitive outcomes in 7-year-old children: a longitudinal cohort study (2013) by Yvonne Kelly, Maria Iacovou, Maria Quigley, Ron Gray, Dieter Wolke, John Kelly and Amanda Sacker
Prevalence of maternal smoking and environmental tobacco smoke exposure during pregnancy and impact on birth weight: retrospective study using Millennium Cohort (2007) by Corinne Ward, Sarah Lewis and Tim Coleman
Breastfeeding and Hospitalization for Diarrheal and Respiratory Infection in the United Kingdom Millennium Cohort Study (2007) by Yvonne Kelly, Yvonne Kelly and Amanda Sacker
Breastfeeding is Associated with Improved Child Cognitive Development: A Population-Based Cohort Study (2012) by Maria Quigley, Christine Hockley, Claire Carson, Yvonne Kelly, Mary Renfrew and Amanda Sacker
Breastfeeding and child cognitive outcomes: evidence from a hospital-based breastfeeding support policy (2012) by Emilia Del Bono and Birgitta Rabe.
Breast feeding and child behaviour in the Millennium Cohort Study (2011) by Katriina Heikkila, Amanda Sacker, Yvonne Kelly, Mary Renfrew and Maria Quigley
Breastfeeding and developmental delay: Findings from the Millennium Cohort Study (2006) by Amanda Sacker, Maria Quigley and Yvonne Kelly.
AGGIO, D, SMITH, L and HAMER, M. (2017) Early life cognitive function and health behaviours in late childhood:testing the neuroselection hypothesis. Journal of Epidemiology & Community Health, 72(1), 41-46.
AGGIO,D, GARDNER,B, ROBERTS,J, JOHNSTONE,J, STUBBS,B, WILLIAMS,G, LOPEZ-SANCHEZ,G.F and SMITH,L. (2017) Correlates of children's independent outdoor play: Cross-sectional analyses from the Millennium Cohort Study.Preventive Medicine Reports, 8, 10-14.
AHN, J, CUMMINS, S and FLOURI, E. (2016) Physical activity, sedentary behaviour and mental health in children:
findings from the UK Millennium Cohort Study. Journal of Epidemiology & Community Health, 70(Suppl 1), A36.
AHN, J, SERA, F, CUMMINS, S and FLOURI, E. (2018) Associations between objectively-measured physical activity and later mental health outcomes in children: Findings from the UK Millennium Cohort Study. Journal of
Epidemiology & Community Health, 72(2), 94-100.
ALFO, M, MARINO, M.F, RANALLI, M.G and SALVATI, N. (2016) Multivariate M-quantile regression for longitudinal data: analysis of the Millennium Cohort Study data. Cornell University Report, 23 Dec 2016. Ithaca, NY: Cornell
University.
ALTERMAN, N, KURINCZUK, J.J and QUIGLEY, M.A. (2016) OP45 The association between mode of delivery and infectious disease in the infant -Evidence from the UK Millennium Cohort Study. Journal of Epidemiology and Community Health, 70, A28.
AMOS, R, MANALASTAS, E.J, WHITE, R, BOS, H and PATALAY, P. (2019) Mental health, social adversity, and healthrelated outcomes in sexual minority adolescents: a contemporary national cohort study. Lancet Child and Adolescent Health,4(1), 36-45.
Benefits reported
Yielded Benefits is not a requirement for new applications.
MCS has provided important evidence to show how circumstances in the very first stages of life can influence later health and development.
Research based on MCS has shown that the likelihood of being breastfed is affected by which day in the week a child is born, which has strong subsequent effects on cognitive development. More details about this study can be found here http://www.homepages.ucl.ac.uk/~uctpamv/papers/breastfeeding.pdf
The study has contributed crucial evidence on two major health issues facing this generation; the high rates of both mental-ill health and obesity among this age group, now in their teens.
Mental Health study
New research using information from MCS shows a quarter of girls (24%) and one in 10 boys (9%) are depressed at age 14. Researchers from the UCL Institute of Education and the University of Liverpool analysed information on more than 10,000 children born in 2000-01 who are taking part in the Millennium Cohort Study.
At ages 3, 5, 7, 11 and 14, parents reported on their children’s mental health. Then, when they reached 14, the children were themselves asked questions about their depressive symptoms. Based on the 14-year-olds reporting of their emotional problems, 24 per cent of girls and 9 per cent of boys suffer from depression.
The research, published with the National Children’s Bureau, also investigated links between depressive symptoms and family income. Generally, 14-year-olds from better-off families were less likely to have high levels of depressive symptoms compared to their peers from poorer homes.Parents’ reports of emotional problems were roughly the same for boys and girls throughout childhood, increasing from 7 per cent of children at age 7 to 12 per cent at age 11. However, by the time they reached early adolescence at age 14, emotional problems became more prevalent in girls, with 18 per cent having symptoms of depression and anxiety, compared to 12 per cent of boys. Behaviour problems, such as acting out, fighting and being rebellious decreased from infancy to age 5, but then increased to age 14. Boys were more likely than girls to have behaviour problems throughout childhood and early adolescence.
As 14-year-olds’ own reports of their emotional problems were different to their parents’, this research highlights the importance of considering young people’s views on their own mental health.
Obesity study
One in five young people born in the UK at the turn of the century was obese by the age of 14, and a further 15 per cent were found to be overweight.Researchers from the Centre for Longitudinal Studies (CLS) at the UCL Institute of Education analysed information on more than 10,000 teenagers who are taking part in the Millennium Cohort Study. These latest findings reinforce the importance of plans from UK governments to tackle the childhood obesity epidemic over the coming years.In response to public concern over childhood obesity, the most significant steps in recent government policy include the introduction of a levy on added sugar in soft drinks in April 2018, and a programme to reduce sugar across a range of products by 20 per cent by 2020, alongside reductions in salt and saturated fat. The report from CLS, which is published with a briefing paper on Thursday (7 December), reveals that although the same proportion of boys and girls were obese (20%), rates of overweight were slightly higher for girls (16%) than boys (13%). Rates of excess weight varied by country, with almost 40 per cent of young people in Northern Ireland overweight or obese, compared to 38 per cent in Wales, and 35 per cent in both Scotland and England. There was a clear link between young people’s weight and their mothers’ level of education. Almost 40 per cent of 14-year-olds whose mothers had only GCSE qualifications were overweight or obese, compared to 26 per cent of those whose mothers had a degree or higher qualifications. In addition, children who were breastfed as infants, and those whose parents owned their home, had lower odds of being overweight and obese at age 14.
The researchers also analysed information on children’s height and weight at ages 3, 5, 7, 11 and 14, to uncover patterns of weight gain across childhood. They found that rates of overweight and obesity increased slightly from ages 3 to 7, but rose significantly at age 11, from 25 per cent to 35 per cent, with this increase being especially strong among boys. By age 14, however, they discovered that rates of excess weight had stabilised. While boys were slightly less likely to have become overweight and obese than to have become a normal weight by age 14, for girls the opposite was the case.
Below are examples of existing publications using the Millennium Cohort Study data benefiting public health.
Smoking in pregnancy
Several studies based on MCS have looked at how smoking during pregnancy relates to children's development. One group of researchers found that babies with mothers who smoked at any point while they were pregnant weighed on average 146 grams less when they were born (around the weight of a smartphone) than babies with mums who did not smoke. Overall, the more cigarettes a mother smoked a day, the less her baby weighed at birth.
Babies with mothers whose partners smoked around them while they were pregnant also weighed on average 36 grams less (about the weight of a chocolate bar) than those with mothers who were not exposed to smoke.
Another research study has suggested that children are more likely to have behaviour problems at age 3 if their mothers smoke while they are pregnant.
Breastfeeding and child health
An influential study found that babies who were breastfed in the first months of their lives were less likely to go to hospital for diarrhoea or respiratory problems, such as infections and pneumonia. The researchers estimated that half of hospital stays for diarrhoea, and a quarter of stays for respiratory problems, could be prevented every month if all babies in the UK were fed entirely on breast milk for at least six months.
Breastfeeding and child development
Between ages 3 and 7 MCS children took part in a range of activities to show which words they knew and the patterns they could identify in shapes and images. Studies have found that children who were breastfed tended to do better in these exercises and to have less behaviour problems.
Research has also suggested that there is a relationship between breastfeeding and young children's ability to coordinate the movements of their arms and legs and to reach milestones such as standing up for the first time and taking their first steps.
Objective for processing
This Data Sharing Agreement permits the retention of the data provided under previous iterations of this Agreement for an interim period. This is a pragmatic approach to provide an active Agreement whilst enabling University College London to complete the necessary actions to enable a subsequent application to extend the Agreement meeting all applicable data sharing standards as published in NHS Digital’s website (see: https://digital.nhs.uk/services/data-access-request-service-dars/dars-guidance).
The following provides background information on the purpose of the original study:
The Millennium Cohort Study (MCS) is a multidisciplinary research project following the lives of over 19,000 children in the UK born in 2000/1. It is the most recent of Britain's world-renowned national longitudinal birth cohort studies. Each follows a large number of individuals born at a particular time through the course of their lives, charting the effects of events and circumstances in early life on outcomes and achievements later on. The study has been tracking the Millennium children through their early childhood years and plans to follow them into adulthood. The seven surveys of the MCS carried out so far at 9 months (2001/2), 3 years (2003/4), 5 years (2006), 7 years (2008), 11 years (2012), 14 years (2015) and 17 Years (2018) have built up a uniquely detailed picture of the children of the new century and their families. The study is carried out by the Centre for Longitudinal Studies at the Institute of Education, University College London. It is funded by the UK Research and Innovation (UKRI) formerly known as ESRC and a consortium of UK Government departments.
In 2000/02, when the first survey was carried out, consent to participate in surveys was gained by parents respondents agreeing to be interviewed or respondents returning the completed questionnaire to the study team. Involvement in subsequent surveys adopted the same approach. Individuals could withdraw from the study at any time by simply expressing the wish to do so. In all recent follow-ups the approach to collecting consent has been very similar. During fieldwork, Parents were sent an advance letter advising them about the survey. The letter was accompanied by an information leaflet explaining what is involved. Parents had the opportunity to request further information, or to opt out of the survey at this point. They could also seek further information, or refuse further involvement when the interviewer attempted to make an appointment to visit; when the interviewer visited and at any point during the administration of any elements of the surveys. During age 17 survey, Face-to-face interviews were conducted with the cohort members for the first time (including asking if they would be willing to consent to
data linkage). Parental involvement at MCS7 was minimal.
Of the approximately 19000 individuals that have ever participated in the study there will always be a number of individuals for whom the Centre for Longitudinal Studies (CLS) at University College London will not have a confirmed addresses or who may have died at the time of carrying out the next survey. The ongoing success of the study depends on maintaining contact with as large a number of study members as possible and without causing distress to relatives of those who died.
CLS wish to access NHS Digital data for the purpose of updating participant contact details and mortality information held on CLS systems and for the purpose of contacting participants and maximise involvement in future sweeps conducted within this study. The mortality data requested (specified in the data summary below) will serve two purposes:
a) CLS database update- We would also like to continue receiving notifications from NHS-Digital informing us of deaths,embarkations (i.e.emigrations) and exits/entry from the NHS, this will include information on updated addresses. These notifications are used to prevent us from seeking to contact those who have died and thus potentially causing distress to friends and relatives. Notifications regarding departure
from Great Britain helps to prevent us wasting resources trying to locate these individuals. New addresses will be used to invite cohort members to take part in future sweeps of the survey.
b) Use for research- The study aims to follow participants from birth to death, collecting information about all aspects of life in between. Obtaining mortality information is crucial for life-course research, where death represents the final outcome.
Data Summary
CLS are requesting access to record level, identifiable data linked to the cohort from the following reports:
-Demographic extract
-Cancer register extract
-Civil Registration (deaths) extract
UCL's legal bases for processing the data under General Data Protection Regulation is bases under Article 6(1)(e)
'processing is necessary for the performance of a task carried out in the public interest or in the exercise of official
authority vested in the controller' & Article 9(2)(j) 'processing is necessary for archiving purposes in the public interest, scientific or historical research purposes or statistical purposes in accordance with Article 89(1) based on Union or Member State law which shall be proportionate to the aim pursued, respect the essence of the right to data protection and provide for suitable and specific measures to safeguard the fundamental rights and the interests of the data subject'. CLS has received CAG approval to process this data under S251.
University College London (UCL) are the sole Data Controller for this agreement. All Data Processors party to this
agreement are acting upon the instruction of the controller.
Expected output
This Agreement permits the secure retention of the data only and no other processing.
No new outputs will be produced under this Data Sharing Agreement.
The scientific priorities and questionnaire content will be elaborated and developed in consultation with the academic and policy community with the aim of collecting both information relevant to their lives at age 22 and to later life outcomes, as well as repeat measures of topics covered at age 17. CLS will continue to prospectively harmonise the content with other comparable cohorts, particularly those in the UK, by drawing on comparable measures at a similar age. All surveys are overseen by the CLS Strategic Advisory Board (SAB) which contains representatives from UKRI, Wellcome Trust, Medical Research Council, the scientific community and government departments. The SAB provide high level strategic oversight for CLS to ensure the cohort studies led by the centre are developed, managed and maintained in a manner that maximises their benefit as long-term scientific resources of importance both nationally and internationally, while protecting participants’ interests The SAB ensure that the content is closely aligned with research priorities, as well as the areas of research interest (ARIs) published by government departments. CLS will reflect these priorities when deciding on the major themes which CLS intend to cover at the next sweep collection at age 22 provisionally planned to take place in 2021.
CLS will continue to produce outputs from the study via the UK Data Service in the form of aggregated report for the benefit of the wider research community as previous interest in MCS data has proven to be sought in a large scope of research areas. CLS will also publish papers in a range of journals; however it is not possible to provide detail at this point as to precisely which journals and dates, but the intention is to produce outputs along the same lines as those produced after the previous sweep.
Outputs of the deaths data :
This information has been used to prevent us from seeking to contact those who have died and thus potentially causing distress to family and friends. Information on exit/entries from NHS Digital have prevented us from wasting resources contacting individuals who are no longer in Great Britain. The demographic data has been used to update CLS 's database with new addresses which have been used to maintain contact with study members e.g to send them a special birthday mailing for their birthday and then later to invite them to take part in the future surveys.
Benefits reported
MCS has provided important evidence to show how circumstances in the very first stages of life can influence later health and development.
Research based on MCS has shown that the likelihood of being breastfed is affected by which day in the week a child is born, which has strong subsequent effects on cognitive development. More details about this study can be found here http://www.homepages.ucl.ac.uk/~uctpamv/papers/breastfeeding.pdf
The study has contributed crucial evidence on two major health issues facing this generation; the high rates of both mental-ill health and obesity among this age group, now in their teens.
Mental Health study
New research using information from MCS shows a quarter of girls (24%) and one in 10 boys (9%) are depressed at age 14. Researchers from the UCL Institute of Education and the University of Liverpool analysed information on more than 10,000 children born in 2000-01 who are taking part in the Millennium Cohort Study.
At ages 3, 5, 7, 11 and 14, parents reported on their children’s mental health. Then, when they reached 14, the children were themselves asked questions about their depressive symptoms. Based on the 14-year-olds reporting of their emotional problems, 24 per cent of girls and 9 per cent of boys suffer from depression.
The research, published with the National Children’s Bureau, also investigated links between depressive symptoms and family income. Generally, 14-year-olds from better-off families were less likely to have high levels of depressive symptoms compared to their peers from poorer homes.Parents’ reports of emotional problems were roughly the same for boys and girls throughout childhood, increasing from 7 per cent of children at age 7 to 12 per cent at age 11. However, by the time they reached early adolescence at age 14, emotional problems became more prevalent in girls, with 18 per cent having symptoms of depression and anxiety, compared to 12 per cent of boys. Behaviour problems, such as acting out, fighting and being rebellious decreased from infancy to age 5, but then increased to age 14. Boys were more likely than girls to have behaviour problems throughout childhood and early adolescence.
As 14-year-olds’ own reports of their emotional problems were different to their parents’, this research highlights the importance of considering young people’s views on their own mental health.
Obesity study
One in five young people born in the UK at the turn of the century was obese by the age of 14, and a further 15 per cent were found to be overweight.Researchers from the Centre for Longitudinal Studies (CLS) at the UCL Institute of Education analysed information on more than 10,000 teenagers who are taking part in the Millennium Cohort Study. These latest findings reinforce the importance of plans from UK governments to tackle the childhood obesity epidemic over the coming years.In response to public concern over childhood obesity, the most significant steps in recent government policy include the introduction of a levy on added sugar in soft drinks in April 2018, and a programme to reduce sugar across a range of products by 20 per cent by 2020, alongside reductions in salt and saturated fat. The report from CLS, which is published with a briefing paper on Thursday (7 December), reveals that although the same proportion of boys and girls were obese (20%), rates of overweight were slightly higher for girls (16%) than boys (13%). Rates of excess weight varied by country, with almost 40 per cent of young people in Northern Ireland overweight or obese, compared to 38 per cent in Wales, and 35 per cent in both Scotland and England. There was a clear link between young people’s weight and their mothers’ level of education. Almost 40 per cent of 14-year-olds whose mothers had only GCSE qualifications were overweight or obese, compared to 26 per cent of those whose mothers had a degree or higher qualifications. In addition, children who were breastfed as infants, and those whose parents owned their home, had lower odds of being overweight and obese at age 14.
The researchers also analysed information on children’s height and weight at ages 3, 5, 7, 11 and 14, to uncover patterns of weight gain across childhood. They found that rates of overweight and obesity increased slightly from ages 3 to 7, but rose significantly at age 11, from 25 per cent to 35 per cent, with this increase being especially strong among boys. By age 14, however, they discovered that rates of excess weight had stabilised. While boys were slightly less likely to have become overweight and obese than to have become a normal weight by age 14, for girls the opposite was the case.
Below are examples of existing publications using the Millennium Cohort Study data benefiting public health.
Smoking in pregnancy
Several studies based on MCS have looked at how smoking during pregnancy relates to children's development. One group of researchers found that babies with mothers who smoked at any point while they were pregnant weighed on average 146 grams less when they were born (around the weight of a smartphone) than babies with mums who did not smoke. Overall, the more cigarettes a mother smoked a day, the less her baby weighed at birth.
Babies with mothers whose partners smoked around them while they were pregnant also weighed on average 36 grams less (about the weight of a chocolate bar) than those with mothers who were not exposed to smoke.
Another research study has suggested that children are more likely to have behaviour problems at age 3 if their mothers smoke while they are pregnant.
Breastfeeding and child health
An influential study found that babies who were breastfed in the first months of their lives were less likely to go to hospital for diarrhoea or respiratory problems, such as infections and pneumonia. The researchers estimated that half of hospital stays for diarrhoea, and a quarter of stays for respiratory problems, could be prevented every month if all babies in the UK were fed entirely on breast milk for at least six months.
Breastfeeding and child development
Between ages 3 and 7 MCS children took part in a range of activities to show which words they knew and the patterns they could identify in shapes and images. Studies have found that children who were breastfed tended to do better in these exercises and to have less behaviour problems.
Research has also suggested that there is a relationship between breastfeeding and young children's ability to coordinate the movements of their arms and legs and to reach milestones such as standing up for the first time and taking their first steps.
DARS-NIC-147860-0RSHN-v0.0 30 November 2011 to 30 November 2026
- Title
- MR737 - ESRC MILLENNIUM COHORT STUDY (MCS) child of the new century
- Commercial
- No
- Sublicensing
- No
- Datasets
- 6
- Files released
- 19
Datasets: MRIS - Cause of Death Report; MRIS - Cohort Event Notification Report; MRIS - Flagging Current Status Report; MRIS - Members and Postings Report; MRIS - Personal Demographics Service; MRIS - Scottish NHS / Registration
Objective for processing
ESRC Millennium Cohort Study (MCS) Child of the New CenturyA longitudinal cohort study involving parental interviews of participating babies, when the baby was about 9-10 months old. The main aim is to lay the foundations of a multi-purpose dataset to be used into the future by the researchers. In the short term, it will enable a national study of the childhood in the first years of the new Millennium.The objectives are to:1) Chart the initial conditions of social, economic and health advantages and disadvantages facing new children in the new century, capturing information that the research community of the future will require.2) Provide a basis for comparing patterns of development with that of members of the preceding cohorts.3) Collect information on previously neglected topics, such as father's involvement in the children's care and development.4) Focus on the children's parents as the mist immediate elements of the child's 'background', charting their experience as mothers and fathers of this year's babies, to record how they (and any other children in the family) are adapting to the newcomer, and what their aspirations for his/her future may be.5) Establish intergenerational links including those back to the parent's own childhood.6) Investigate the wider social ecology of the family including, social networks, civic engagement and community facilities and services, splicing in geo-coded data when available.7) Improve the quality and completeness of the health data and linkage on pregnancy and birth by collecting information available on hospital records and birth registrations. Assessing the health and other outcomes of recruited individuals over a life-long period in relation to the social, health and clinical conditions identified around and at the time of birth.
Benefits reported
Yielded Benefits is not a requirement for new applications.
Register history
When this agreement appeared in, or was edited in, each monthly edition of the register. Built by comparing every edition this site holds, the earliest of which is July 2021.
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July 2021 —
already listed in the earliest edition this site holds, so it may be older. 2 versions: DARS-NIC-147860-0RSHN-v0.0, DARS-NIC-147860-0RSHN-v1.3
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February 2022
1 version added: DARS-NIC-147860-0RSHN-v2.6
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June 2023
Amended DARS-NIC-147860-0RSHN-v2.6
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September 2023
1 version added: DARS-NIC-147860-0RSHN-v3.2
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October 2024
1 version added: DARS-NIC-147860-0RSHN-v4.2
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May 2025
1 version added: DARS-NIC-147860-0RSHN-v5.2
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June 2026
1 version added: DARS-NIC-147860-0RSHN-v6.2
"Amended in place" means NHS England changed the record without issuing a new version number. The register publishes no changelog for those edits; this site infers them by comparing editions. An edit is attributed to the edition it first appears in, not to the date it was made.
Cite this page
NHS England (2026) Data Uses Register, September 2026 edition, agreement DARS-NIC-147860-0RSHN, “Centre for Longitudinal Studies - Millennium Cohort Study (MCS) - Child of the New Century -Mortality”. Read via NHS Data Access Explorer (unofficial), https://healthdatauses.uk/agreements/dars-nic-147860-0rshn/ (accessed [date]).
This address stays the same, but the page is rebuilt with each monthly edition, so the citation names the edition it shows. Every edition's data is kept in the facts store.
Source: datausesregister_september2026.xlsx, September 2026 edition of the NHS England Data Uses Register. Search that workbook for DARS-NIC-147860-0RSHN to see the original rows.