Literature DB >> 3256582

Participation in a follow up study of health among unemployed and employed people after a company closedown: drop outs and selection bias.

L Iversen1, S Sabroe.   

Abstract

This article presents an analysis of study loss in a three year longitudinal study of 1816 employees at two Danish shipyards, one of which closed just before the start of the study. The aim of the study was to elucidate the health consequences of a company closedown and the subsequent job loss. The study population responded to an identical questionnaire in 1983, 1984 and 1985. The participation rate in 1983 was 73%. The percentage of drop outs in 1984 and 1985 was 15-20% of the total numbers responding in the first year. We examined this study loss in relation to the characteristics of the respondents, using the first round of data collection as a baseline. In a multivariate analysis, age and seniority at the shipyard were the only variables that were significantly associated with non-participation in 1984 and 1985. It is concluded that the drop outs did not appear to introduce a serious risk of selection bias in 1984 and 1985. A comparison between drop outs and late respondents in 1984 and 1985 did not support the supposition that information about late respondents can be extrapolated to drop outs.

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Year:  1988        PMID: 3256582      PMCID: PMC1052771          DOI: 10.1136/jech.42.4.396

Source DB:  PubMed          Journal:  J Epidemiol Community Health        ISSN: 0143-005X            Impact factor:   3.710


  11 in total

1.  Response and follow-up bias in cohort studies.

Authors:  S Greenland
Journal:  Am J Epidemiol       Date:  1977-09       Impact factor: 4.897

2.  Adapting to the unemployed role: a longitudinal investigation.

Authors:  P Warr; P Jackson
Journal:  Soc Sci Med       Date:  1987       Impact factor: 4.634

3.  Investigating non-response bias in mail surveys.

Authors:  K Sheikh; S Mattingly
Journal:  J Epidemiol Community Health       Date:  1981-12       Impact factor: 3.710

4.  Ethnic status and participation in longitudinal health surveys.

Authors:  S W Vernon; R E Roberts; E S Lee
Journal:  Am J Epidemiol       Date:  1984-01       Impact factor: 4.897

5.  Unemployment and risk of minor psychiatric disorder in young people: cross-sectional and longitudinal evidence.

Authors:  M H Banks; P R Jackson
Journal:  Psychol Med       Date:  1982-11       Impact factor: 7.723

6.  A scaled version of the General Health Questionnaire.

Authors:  D P Goldberg; V F Hillier
Journal:  Psychol Med       Date:  1979-02       Impact factor: 7.723

7.  Participants and non-participants of different categories in a health survey. A cross-sectional register study.

Authors:  C G Ohlson; B Ydreborg
Journal:  Scand J Soc Med       Date:  1985

8.  Factors influencing participation in health surveys. Results from prospective population study 'Men born in 1914' in Malmö, Sweden.

Authors:  L Janzon; B S Hanson; S O Isacsson; S E Lindell; B Steen
Journal:  J Epidemiol Community Health       Date:  1986-06       Impact factor: 3.710

9.  Bias due to non-participation and heterogenous sub-groups in population surveys.

Authors:  R Bergstrand; A Vedin; C Wilhelmsson; L Wilhelmsen
Journal:  J Chronic Dis       Date:  1983

10.  Non-participation and mortality in a prospective study of cardiovascular disease.

Authors:  M Walker; A G Shaper; D G Cook
Journal:  J Epidemiol Community Health       Date:  1987-12       Impact factor: 3.710

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  3 in total

1.  A critical review of the effect of factory closures on health.

Authors:  J K Morris; D G Cook
Journal:  Br J Ind Med       Date:  1991-01

2.  Health and demographic characteristics of respondents in an Australian national sexuality survey: comparison with population norms.

Authors:  D M Purdie; M P Dunne; F M Boyle; M D Cook; J M Najman
Journal:  J Epidemiol Community Health       Date:  2002-10       Impact factor: 3.710

3.  An uncertain future: the health effects of threats to employment security in white-collar men and women.

Authors:  J E Ferrie; M J Shipley; M G Marmot; S A Stansfeld; G D Smith
Journal:  Am J Public Health       Date:  1998-07       Impact factor: 9.308

  3 in total

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