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The UK Census Longitudinal Studies. Chris Dibben , University of St Andrews. The Longitudinal Studies:. The England and Wales: Longitudinal Study covers England and Wales: approximately 1% sample: 1971 onwards – c. 540,000 http://celsius.census.ac.uk
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The UK Census Longitudinal Studies Chris Dibben, University of St Andrews
The Longitudinal Studies: • The England and Wales: Longitudinal Study covers England and Wales: approximately 1% sample: 1971 onwards – c. 540,000 • http://celsius.census.ac.uk • The Scottish Longitudinal Study covers Scotland: 5.3% sample: 1991 onwards – c. 280,000 • http://lscs.ac.uk • The Northern Ireland Longitudinal Study covers Northern Ireland: 28% sample: 2001 onwards - c.500,000); • http://www.qub.ac.uk/research-centres/NILSResearchSupportUnit/ • also the Northern Ireland Mortality Study: 100% sample, links deaths since 2001 to 2001 Census data`
Entrants (1971-2006) New Births 255,700 Immigrants 146,100 Births to sample women 243,700 Events 1971 – 2006 Widow(er)hoods 78,100 Cancer registrations (to 2005)104,800 Exits (1971-2006) Deaths 226,200 Embarkations 35,800 England and Wales: Longitudinal Study Structure 1971 Original sample: 530,000; selected from 1971 Census 1981 536,000 sample members found at 1981 Census 1991 543,000 sample members found at 1991 Census 2001 540,000 sample members found at 2001 Census Plus members of household Plus members of household Plus members of household Plus members of household
Types of study design using the Census Longitudinal Studies Cross-sectional at each census (1971,1981,1991, 2001) Longitudinal: investigating same people at 2+ Census points Longitudinal: fertility, cancer incidence and mortality by Census characteristics before and after the event Cross-sequential : comparing change in two cohorts (e.g. class mobility 1971 to 1991 with class mobility 1981 to 2001) Inter-generational (parental characteristics of sample members by their adult characteristics in a later Census)
How to use the LS’s: conditions imposed by the need for confidentiality • Data are held in secure setting and can’t be downloaded • Projects are scrutinised by a Board before approval • Safe Setting Access to LS: • ONS - London, Hampshire or South Wales • NRS– Edinburgh • NISRA - Belfast • - or send code (eg in STATA or SPSS) which will be run for them by CeLSIUS support officers • Individual-level data cannot leave the secure setting – instead, tables, models or aggregated datasets are released • Outputs are scrutinised for possible disclosive elements (can limit detail of ethnicity, small-area geography and occupation) • Presentations, articles, theses etc. must be scrutinised again before being made public and the standards are more rigorous.
Work, permanent sickness and mortality risk: • a prospective cohort study of England and Wales, 1971-2006 • Akinwale B, Lynch K, Wiggins R, Harding S, Bartley M & Blane D • Published in Journal of Epidemiology & Community Health, 2010, 10.1136/jech.2009.099325 • The research question: • labour market participation by men has fallen in recent decades. • much of this decline is accounted for by increases in permanent sickness. • there is speculation that some of the permanently sick have less severe conditions than previously.
The study: • used data from the ONS Longitudinal Study • samples were selected from each census: 1971, 1981, 1991, 2001 • of men aged 55-69 and women aged 50-64 • either employed, unemployed or economically inactive at census • samples were followed up for five years to identify deaths • analysis: age-specific death rates, Standardised Mortality Ratios, odds of reporting limiting long-term illness • Results: • the pattern of relative mortality risk remained remarkably stable during 1971-2001 • for both men and women of working ages, it was persistently lowest among those in work and highest among the permanently sick
Table 4 Standardised Mortality Ratios for men aged 55-64 Source: ONS Longitudinal Study, authors’ analysis. Deaths 1-5 years after census.
Background: Suicide rates vary between areas: individual characteristics (composition) or area characteristics (context)? Aim: To determine if area factors are independently related to suicide risk after adjustment for individual and family characteristics. Method: 5-year record linkage study using NIMS based on c.1.1 million individuals aged 16-74 years (and not living in communal establishments) Results: suicide risks lowest for women & for those married/cohabiting; higher relative risks recorded in more deprived & socially fragmented areas disappeared after adjustment for individual & household disadvantage Area Factors & Suicide
2011 Census – Other key changes • General Health - Expanded from a 3 point scale in 2001 to a 5 point scale in 2011 • Limiting long term illness - expanded
2011 Census – Other key changes • Marital status question expanded to allow people to indicate their civil partnership status following the Civil Partnership Act 2004
School Education data – 3 datasets. - School Census data - SQA attainment data - Attendance/ absence & exclusions data available
ED code, address, household members: marital status, occupation The Scottish Longitudinal study Birth 1936 1939 register Education Employment Scottish morbidity records 1939 books recorded the date of death (up to 1980) linkage to the death database (1974 onwards) 1947 Scottish Mental Survey
Age 0 11 34 55 65 75 Year 1970 1991 2001 2011 1947 Birth 1936 Occupation (estimated) Mental ability Mortality Hospitalisation Detailed household/ individual information School Achievement (time estimated) Early life environment