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The UK Census Longitudinal Studies

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Title: The UK Census Longitudinal Studies


1
The UK Census Longitudinal Studies
  • Chris Dibben, University of St Andrews

2
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/NILSResearch
    SupportUnit/
  • also the Northern Ireland Mortality Study 100
    sample, links deaths since 2001 to 2001 Census
    data

3
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
4
Core data in all the LSs
5
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6
Can add in hospital admissions
7
  • 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)

8
How to use the LSs conditions imposed by the
need for confidentiality
  • Data are held in secure setting and cant 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.

9
  • 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.

10
  • 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

11
Table 4 Standardised Mortality Ratios for men
aged 55-64
Labour market position 1971 1981 1991 2001
In work 100 100 100 100
Unemployed 115 110 133 151
Retired 175 149 131 135
Permanently sick 298 299 290 318
Other inactive 230 212 153 174
Source ONS Longitudinal Study, authors
analysis. Deaths 1-5 years after census.
12
Area Factors Suicide
  • 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

13
Suicide (Daily Mirror)
14
Long-term health conditions
15
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

16
2011 Census Other key changes
  • Marital status question expanded to allow people
    to indicate their civil partnership status
    following the Civil Partnership Act 2004

17
School Education data 3 datasets.
  • - School Census data
  • - SQA attainment data
  • - Attendance/ absence exclusions data
    available

18
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19
1947 Scottish Mental Survey
20
Early life environment
21
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