2026-05-26T09:18:06Z https://datacatalogue.cessda.eu/oai-pmh/v0/oai

34d817dd0e6bee2a0abf4f39fc55c57af84b840d649e4a4fba827d190b094ab3 2025-10-09T03:48:58Z language:enopenaire_data

DDI2.5 XML CODEBOOK RECORD FOR STUDY NUMBER 6942 National Child Development Study: Activity Histories, 1974-2013 694210.5255/UKDA-SN-6942-3 University of London, Institute of Education, Centre for Longitudinal Studies Copyright Centre for Longitudinal Studies, UCL Social Research Institute Economic and Social Research Council UK Data Service 25 January 2012 GENDERECONOMIC ACTIVITYFULL-TIME EMPLOYMENTPART-TIME EMPLOYMENTEMPLOYMENT HISTORYJOB CHANGINGSTATUS IN EMPLOYMENTSELF-EMPLOYEDSUPERVISORY STATUSSOCIO-ECONOMIC STATUSOCCUPATIONSSOCIAL CLASS Time useLabour and employmentSocial behaviour and attitudes Abstract copyright UK Data Service and data collection copyright owner.The National Child Development Study (NCDS) is a continuing longitudinal study that seeks to follow the lives of all those living in Great Britain who were born in one particular week in 1958. The aim of the study is to improve understanding of the factors affecting human development over the whole lifespan.  The NCDS has its origins in the Perinatal Mortality Survey (PMS) (the original PMS study is held at the UK Data Archive under SN 2137). This study was sponsored by the National Birthday Trust Fund and designed to examine the social and obstetric factors associated with stillbirth and death in early infancy among the 17,000 children born in England, Scotland and Wales in that one week. Selected data from the PMS form NCDS sweep 0, held alongside NCDS sweeps 1-3, under SN 5565.  Survey and Biomeasures Data (GN 33004): To date there have been nine attempts to trace all members of the birth cohort in order to monitor their physical, educational and social development. The first three sweeps were carried out by the National Children's Bureau, in 1965, when respondents were aged 7, in 1969, aged 11, and in 1974, aged 16 (these sweeps form NCDS1-3, held together with NCDS0 under SN 5565). The fourth sweep, also carried out by the National Children's Bureau, was conducted in 1981, when respondents were aged 23 (held under SN 5566). In 1985 the NCDS moved to the Social Statistics Research Unit (SSRU) - now known as the Centre for Longitudinal Studies (CLS). The fifth sweep was carried out in 1991, when respondents were aged 33 (held under SN 5567). For the sixth sweep, conducted in 1999-2000, when respondents were aged 42 (NCDS6, held under SN 5578), fieldwork was combined with the 1999-2000 wave of the 1970 Birth Cohort Study (BCS70), which was also conducted by CLS (and held under GN 33229). The seventh sweep was conducted in 2004-2005 when the respondents were aged 46 (held under SN 5579), the eighth sweep was conducted in 2008-2009 when respondents were aged 50 (held under SN 6137) and the ninth sweep was conducted in 2013 when respondents were aged 55 (held under SN 7669).  Four separate datasets covering responses to NCDS over all sweeps are available. National Child Development Deaths Dataset: Special Licence Access (SN 7717) covers deaths; National Child Development Study Response and Outcomes Dataset (SN 5560) covers all other responses and outcomes; National Child Development Study: Partnership Histories (SN 6940) includes data on live-in relationships; and National Child Development Study: Activity Histories (SN 6942) covers work and non-work activities. Users are advised to order these studies alongside the other waves of NCDS. From 2002-2004, a Biomedical Survey was completed and is available under End User Licence (EUL) (SN 8731) and Special Licence (SL) (SN 5594). Proteomics analyses of blood samples are available under SL SN 9254. Linked Geographical Data (GN 33497):  A number of geographical variables are available, under more restrictive access conditions, which can be linked to the NCDS EUL and SL access studies.  Linked Administrative Data (GN 33396): A number of linked administrative datasets are available, under more restrictive access conditions, which can be linked to the NCDS EUL and SL access studies. These include a Deaths dataset (SN 7717) available under SL and the Linked Health Administrative Datasets (SN 8697) available under Secure Access. Additional Sub-Studies (GN 33562): In addition to the main NCDS sweeps, further studies have also been conducted on a range of subjects such as parent migration, unemployment, behavioural studies and respondent essays. The full list of NCDS studies available from the UK Data Service can be found on the <a href="https://beta.ukdataservice.ac.uk/datacatalogue/series/series?id=2000032#!/access-data" target="_blank" style="background-color: rgb(255, 255, 255);">NCDS</a> series access data webpage.   How to access genetic and/or bio-medical sample data from a range of longitudinal surveys: For information on how to access biomedical data from NCDS that are not held at the UKDS, see the <a href="https://cls.ucl.ac.uk/data-access-training/genetic-data-and-biological-samples/" target="_blank" style="background-color: rgb(255, 255, 255);">CLS Genetic data and biological samples</a> webpage. Further information about the full NCDS series can be found on the <a href="https://cls.ucl.ac.uk/cls-studies/1958-national-child-development-study/" target="_blank" style="background-color: rgb(255, 255, 255);">Centre for Longitudinal Studies</a> website.  The purpose of the National Child Development Study: Activity Histories, 1974-2013 was to merge all data on work and non-work activities in successive sweeps into one longitudinal dataset. Data on work and non-work activities lasting one month or more have been collected in all NCDS sweeps from sweep 4 (age 23) onwards. The focus of the questions asked at each sweep vary from: work activities engaged in since leaving school (sweep 4 aged 23); work and non-work activities engaged in since leaving school (sweep 5, aged 33); work and non-work activities engaged in since the last sweep (sweep 6, aged 42); work and non-work activities engaged in since the last sweep or aged 16 (sweep 7, aged 46) work and non-work activities engaged in since 2000, or 2004 if included in sweep 7 (sweep 8, aged 50), work and non-work activities engaged in since 2004, or 2008 if included in sweep 8 (sweep 9, aged 55). Therefore the activity histories will start from the time that the cohort member left school and continue until the interview date of the latest data sweep that each cohort member participated in. The lengths of the activity histories vary depending on the latest sweep that a cohort member was present at. The minimum activity history length recorded is 1 month and the maximum is 480 months (40 years). Gaps in the activity histories occur where a cohort member has not been present at all sweeps and/or where full activity data were not reported. An employment histories dataset was previously created (Ward, 2007). This work was undertaken as part of the Gender Network Project. The current work on NCDS activity histories builds on this previous activity history and incorporates various cleaning of the data. This previous employment history included data up to sweep 7 (2004) only, did not deal with any non-work activities and did not identify duplicate activities (i.e. where an activity was reported again in a later sweep). Latest Edition Information For the second edition (June 2016) the data and documentation were updated to include the latest NCDS wave, extending coverage to 2013. Main Topics: The NCDS Activity Histories dataset contains one record for each work or non-work activity. 1974 - 201301 January 197401 January 2013 Great Britain IndividualsNational Adults in Great Britain born in one particular week in March 1958. Numeric Longitudinal/panel/cohort No sampling (total universe) Compilation or synthesis of existing material The Data Collection is available to UK Data Service registered users subject to the <a href="https://ukdataservice.ac.uk/app/uploads/cd137-enduserlicence.pdf" target="_blank">End User Licence Agreement</a>.Commercial use of the data requires approval from the data owner or their nominee. The UK Data Service will contact you.Personal/genealogical use of these data is not permitted. Additional conditions of use apply:I agree not to use nor attempt to use the Data Collections to identify the individuals from which the study sample was selected, nor to claim to have done so; andI agree not to link between the research identifiers supplied by the UK Data Service [NCDSID] and any other identifiers previously issued. See <restrctn> https://cls.ucl.ac.uk/cls-studies/1958-national-child-development-study/ https://www.bibliography.cls.ucl.ac.uk/ https://cls.ucl.ac.uk/publications-and-resources/ https://discovery.closer.ac.uk/item/uk.cls.ncds/524c8f92-493f-4660-90c4-0aa7ac3d2640 https://ukdataservice.ac.uk/case-study/do-comprehensive-schools-reduce-social-mobility/ https://ukdataservice.ac.uk/case-study/does-being-left-handed-or-right-handed-affect-academic-ability/ https://ukdataservice.ac.uk/case-study/adult-education-and-its-effect-on-heart-disease/ https://ukdataservice.ac.uk/case-study/does-childhood-poverty-affect-respiratory-health-in-mid-life/ https://beta.ukdataservice.ac.uk/datacatalogue/studies/study?id=5805 https://beta.ukdataservice.ac.uk/datacatalogue/studies/study?id=8471 https://beta.ukdataservice.ac.uk/datacatalogue/studies/study?id=854277 https://beta.ukdataservice.ac.uk/datacatalogue/studies/study?id=6096 https://beta.ukdataservice.ac.uk/datacatalogue/studies/study?id=853526 https://beta.ukdataservice.ac.uk/datacatalogue/studies/study?id=4861 https://beta.ukdataservice.ac.uk/datacatalogue/studies/study?id=851494 https://beta.ukdataservice.ac.uk/datacatalogue/studies/study?id=852868 https://beta.ukdataservice.ac.uk/datacatalogue/studies/study?id=5471 https://beta.ukdataservice.ac.uk/datacatalogue/studies/study?id=5171 https://beta.ukdataservice.ac.uk/datacatalogue/studies/study?id=2137 https://beta.ukdataservice.ac.uk/datacatalogue/studies/study?id=4128 https://beta.ukdataservice.ac.uk/datacatalogue/studies/study?id=2272 https://beta.ukdataservice.ac.uk/datacatalogue/studies/study?id=1858 https://beta.ukdataservice.ac.uk/datacatalogue/studies/study?id=6691 https://beta.ukdataservice.ac.uk/datacatalogue/studies/study?id=8053 https://beta.ukdataservice.ac.uk/datacatalogue/studies/study?id=854404 https://beta.ukdataservice.ac.uk/datacatalogue/studies/study?id=2024 https://beta.ukdataservice.ac.uk/datacatalogue/studies/study?id=856320 https://beta.ukdataservice.ac.uk/datacatalogue/studies/study?id=855087 https://www.ukdataservice.ac.uk/bounce?type=case-study&id=15 https://www.ukdataservice.ac.uk/bounce?type=case-study&id=94 https://www.ukdataservice.ac.uk/bounce?type=case-study&id=17 https://www.ukdataservice.ac.uk/bounce?type=case-study&id=92 https://www.ukdataservice.ac.uk/bounce?type=case-study&id=143 Selous, C., Kelly-Irving, M., Maughan, B., Eyre, O., Rice, F. and Collishaw, S. (2020) 'Adverse childhood experiences and adult mood problems: Evidence from a five-decade prospective birth cohort', Psychological Medicine, 50(14), 2444-2451. doi:10.1017/S003329171900271X https://doi.org/10.1017/S003329171900271X Stuart-Smith, J., Thapar, A.K., Maughan, B., Thapar, A. and Collishaw, S. (2019) 'Childhood hyperactivity and mood problems at mid-life: evidence from a prospective birth cohort', Social Psychiatry and Psychiatric Epidemiology, 52, 87-94. doi:10.1007/s00127-016-1285-5 https://doi.org/10.1007/s00127-016-1285-5 Ning, K., Patalay, P.L., Maggs, J. and Ploubidis, G.B. (2021) 'Early life mental health and problematic drinking in mid-adulthood: evidence from two British birth cohorts', Social Psychiatry and Psychiatric Epidemiology. doi:10.1007/s00127-021-02063-3 https://doi.org/10.1007/s00127-021-02063-3 Watts, T.W. (2020) 'Academic achievement and economic attainment: reexamining associations between test scores and long-run earnings', AERA Open, 6(2). doi:10.1177/2332858420928985 https://doi.org/10.1177/2332858420928985 Lepage, B., Colineaux, H., Kelly-Irving, M., Vineis, P., Delpierre, C. and Lang, T. (2020) 'Comparison of smoking reduction with improvement of social conditions in early life: simulation in a British cohort', International Journal of Epidemiology, dyaa244. doi:10.1093/ije/dyaa244 https://doi.org/10.1093/ije/dyaa244 Miller, N. E. and Lacey, R. E. (2022) 'Childhood adversity and cardiometabolic biomarkers in mid-adulthood in the 1958 British birth cohort', SSM-Population Health, 19, 101260. doi:10.1016/j.ssmph.2022.101260 https://doi.org/10.1016/j.ssmph.2022.101260 Peycheva, D., Sullivan, A., Hardy, R. et al. (2022) 'Risk factors for natural menopause before the age of 45: evidence from two British population-based birth cohort studies', BMC Women's Health 22, 438. doi:10.1186/s12905-022-02021-4 https://doi.org/10.1186/s12905-022-02021-4 Koepp, A.E.et al. (2023) 'Attention and behavior problems in childhood predict adult financial status, health, and criminal activity: A conceptual replication and extension of Moffitt et al. (2011) using cohorts from the U.S. and the U.K', Developmental Psychology. doi:10.1037/dev0001533 https://doi.org/|]10.1037/dev0001533 Sutcliffe-Braithwaite, F. and Thomlinson, N. (2023) 'Women and the Miners' Strike, 1984-5', Oxford: Oxford University Press. doi:10.1093/oso/9780192843098.001.0001 https://doi.org/10.1093/oso/9780192843098.001.0001 Pavela, G., Yi, N., Mestre, L., Xun, P. and Allison, D.B. (2023) 'Birth weight moderates the association between obesity and mortality rate', Annals of Epidemiology, 82, pp.26–32. doi:10.1016/j.annepidem.2023.03.010 https://doi.org/10.1016/j.annepidem.2023.03.010 Peycheva, D., Li, L., Fewtrell, M., Silverwood, R. and Hardy, R. (2023) 'Mediation of the association of prenatal maternal smoking with time to natural menopause in daughters by birthweight-for gestational-age z-score and breastfeeding duration', CLS Working Paper 2023/4. https://discovery.ucl.ac.uk/id/eprint/10183837/1/CLS-Working-Papers-2023-4-Mediation-of-the-association-of-prenatal-maternal-smoking-with-time-to-natural-menopause-in-da.pdf Thapar, A.K.et al. (2023) 'Childhood attention-deficit hyperactivity disorder problems and mid-life cardiovascular risk: prospective population cohort study', British Journal of Psychiatry, 223(4), pp.472-477. doi:10.1192/bjp.2023.90 https://doi.org/10.1192/bjp.2023.90 https://oai.ukdataservice.ac.uk:8443/oai/provider 6942 2024-11-28T07:29:11Z ddi:codebook:2_5