Literature DB >> 7102651

Some confounding factors in the study of mortality and occupational exposures.

E S Gilbert.   

Abstract

With the recent interest in the study of occupational exposures, the impact of certain selective biases in the groups studied is a matter of some concern. In this paper, data from the Hanford nuclear facility population (southeastern Washington State, 1947-1976), which includes many radiation workers, are used to illustrate a method for examining the effect on mortality of such potentially confouding variables as calendar year, length of time since entering the industry, employment status, length of employment, job category, and initial employment year. The analysis, which is based on the Mantel-Haenszel procedure as adapted for a prospective study, differs from most previous studies of occupational variables which have relied primarily on comparing standardized mortality ratios (utilizing an external control) for various subgroups of the population. Results of this analysis confirm other studies in that reduced death rates are observed for early years of follow-up job category). In addition, workers employed less than two years and especially terminated workers are found to have elevated death rates as compared with the remainder of the study population. It is important that such correlations be taken into account in planning and interpreting analyses of the effects of occupational exposure.

Mesh:

Year:  1982        PMID: 7102651     DOI: 10.1093/oxfordjournals.aje.a113392

Source DB:  PubMed          Journal:  Am J Epidemiol        ISSN: 0002-9262            Impact factor:   4.897


  28 in total

Review 1.  Bias in occupational epidemiology studies.

Authors:  Neil Pearce; Harvey Checkoway; David Kriebel
Journal:  Occup Environ Med       Date:  2006-10-19       Impact factor: 4.402

Review 2.  The Healthy Worker Survivor Effect: Target Parameters and Target Populations.

Authors:  Daniel M Brown; Sally Picciotto; Sadie Costello; Andreas M Neophytou; Monika A Izano; Jacqueline M Ferguson; Ellen A Eisen
Journal:  Curr Environ Health Rep       Date:  2017-09

3.  Reducing healthy worker survivor bias by restricting date of hire in a cohort study of Vermont granite workers.

Authors:  Katie M Applebaum; Elizabeth J Malloy; Ellen A Eisen
Journal:  Occup Environ Med       Date:  2007-04-20       Impact factor: 4.402

4.  Causal inference in occupational epidemiology: accounting for the healthy worker effect by using structural nested models.

Authors:  Ashley I Naimi; David B Richardson; Stephen R Cole
Journal:  Am J Epidemiol       Date:  2013-09-27       Impact factor: 4.897

5.  Controlling the healthy worker survivor effect: an example of arsenic exposure and respiratory cancer.

Authors:  H M Arrighi; I Hertz-Picciotto
Journal:  Occup Environ Med       Date:  1996-07       Impact factor: 4.402

6.  Some observations on the healthy worker effect.

Authors:  L M Carpenter
Journal:  Br J Ind Med       Date:  1987-05

7.  Amyotrophic Lateral Sclerosis and Exposure to Diesel Exhaust in a Danish Cohort.

Authors:  Aisha S Dickerson; Johnni Hansen; Ole Gredal; Marc G Weisskopf
Journal:  Am J Epidemiol       Date:  2018-08-01       Impact factor: 4.897

8.  Mortality study of cancer risk among oil refinery workers.

Authors:  P A Bertazzi; A C Pesatori; C Zocchetti; R Latocca
Journal:  Int Arch Occup Environ Health       Date:  1989       Impact factor: 3.015

9.  Health related selection and death rates in the United Kingdom Atomic Energy Authority workforce.

Authors:  L Carpenter; V Beral; P Fraser; M Booth
Journal:  Br J Ind Med       Date:  1990-04

10.  Assessing the component associations of the healthy worker survivor bias: occupational asbestos exposure and lung cancer mortality.

Authors:  Ashley I Naimi; Stephen R Cole; Michael G Hudgens; M Alan Brookhart; David B Richardson
Journal:  Ann Epidemiol       Date:  2013-06       Impact factor: 3.797

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