Literature DB >> 8172994

The evolving concept of the healthy worker survivor effect.

H M Arrighi1, I Hertz-Picciotto.   

Abstract

The "healthy worker survivor effect" describes a continuing selection process such that those who remain employed tend to be healthier than those who leave employment. In an analysis of exposure-response patterns in an occupational study, the healthy worker survivor effect generally attenuates an adverse effect of exposure. In practical terms, such attenuation will be more problematic when evaluating subtle rather than strong associations. The use of an internal referent does not guarantee elimination of this effect, since by definition, it manifests within an occupational cohort. Although documented over 100 years ago, there is little consensus regarding the most appropriate method to control for the healthy worker survivor effect. Four methods have been proposed for its control: (1) restriction of the cohort to survivors of a fixed number of years of follow-up, (2) lagging the exposure to exclude recent exposure incurred by those who remained on the job, (3) adjusting for employment status as a confounder, and (4) treating the healthy worker survivor effect simultaneously as an intermediate and confounding variable by means of the G-null test or its extension, G-estimation analysis, using structurally nested failure time models. This paper reviews the concept of the healthy worker survivor effect and the four methods to control for it.

Mesh:

Year:  1994        PMID: 8172994     DOI: 10.1097/00001648-199403000-00009

Source DB:  PubMed          Journal:  Epidemiology        ISSN: 1044-3983            Impact factor:   4.822


  133 in total

1.  Occupational exposure to diesel exhaust and lung cancer: a meta-analysis.

Authors:  M Lipsett; S Campleman
Journal:  Am J Public Health       Date:  1999-07       Impact factor: 9.308

2.  Demonstration of the healthy worker survivor effect in a cohort of workers in the construction industry.

Authors:  U Siebert; D Rothenbacher; U Daniel; H Brenner
Journal:  Occup Environ Med       Date:  2001-12       Impact factor: 4.402

3.  Mortality surveillance and occupational hazards: the Solutia mortality experience 1980-94.

Authors:  J J Collins; S G Riordan
Journal:  Occup Environ Med       Date:  2000-10       Impact factor: 4.402

4.  Confounding and confounders.

Authors:  R McNamee
Journal:  Occup Environ Med       Date:  2003-03       Impact factor: 4.402

5.  A glossary for research in occupational health.

Authors:  A M García; H Checkoway
Journal:  J Epidemiol Community Health       Date:  2003-01       Impact factor: 3.710

6.  Bias.

Authors:  Miguel Delgado-Rodríguez; Javier Llorca
Journal:  J Epidemiol Community Health       Date:  2004-08       Impact factor: 3.710

7.  All-cause and cause specific mortality in a cohort of 20 000 construction workers; results from a 10 year follow up.

Authors:  V Arndt; D Rothenbacher; U Daniel; B Zschenderlein; S Schuberth; H Brenner
Journal:  Occup Environ Med       Date:  2004-05       Impact factor: 4.402

8.  Interaction of occupational and personal risk factors in workforce health and safety.

Authors:  Paul A Schulte; Sudha Pandalai; Victoria Wulsin; HeeKyoung Chun
Journal:  Am J Public Health       Date:  2011-11-28       Impact factor: 9.308

9.  The healthy worker effect and nuclear industry workers.

Authors:  Krzysztof W Fornalski; Ludwik Dobrzyński
Journal:  Dose Response       Date:  2010-01-06       Impact factor: 2.658

10.  Caregiving Intensity and Mortality in Older Women, Accounting for Time-Varying and Lagged Caregiver Status: The Caregiver-Study of Osteoporotic Fractures Study.

Authors:  Lisa Fredman; Lynsie R Ranker; Lee Strunin; Meghan L Smith; Katie M Applebaum
Journal:  Gerontologist       Date:  2019-09-17
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