Literature DB >> 2218806

Job-exposure matrices in epidemiologic research and medical surveillance.

S S Coughlin1, L Chiazze.   

Abstract

In summary, job-exposure matrices consist of a number of related methods for the assessment of occupational exposures that have been adapted to a variety of research settings. The potential advantages of job-exposure matrices include the avoidance of some forms of bias and enhanced statistical power to detect associations. However, misclassification of exposures may be problematic, and the sensitivity of this approach has not been consistently shown to be greater than that of conventional methods of exposure assessment based upon interviews of subjects. The job-exposure matrix approach may be especially useful for studies involving the historical reconstruction of exposures at industrial sites. More attention needs to be given to improving the completeness and accuracy of employment history information and to the validity of exposure estimates over time. Future developments may include the increased availability and utilization of quantitative exposure estimates such as environmental air sampling and personal monitoring data. Although job-exposure matrices are generally associated with case-control study designs, they may also be useful in prospective studies. Thus, job-exposure matrices are a potentially valuable addition to epidemiologic research methods which, if applied judiciously, may contribute to etiologic research and to the identification and control of hazardous exposures in the workplace.

Mesh:

Year:  1990        PMID: 2218806

Source DB:  PubMed          Journal:  Occup Med        ISSN: 0885-114X


  3 in total

1.  General population job exposure matrix applied to a pooled study of prevalent carpal tunnel syndrome.

Authors:  Ann Marie Dale; Angelique Zeringue; Carisa Harris-Adamson; David Rempel; Stephen Bao; Matthew S Thiese; Linda Merlino; Susan Burt; Jay Kapellusch; Arun Garg; Fred Gerr; Kurt T Hegmann; Ellen A Eisen; Bradley Evanoff
Journal:  Am J Epidemiol       Date:  2015-02-19       Impact factor: 4.897

2.  Nightshift work job exposure matrices and urinary 6-sulfatoxymelatonin levels among healthy Chinese women.

Authors:  Bu-Tian Ji; Yu-Tang Gao; Xiao-Ou Shu; Gong Yang; Kai Yu; Shou-Zheng Xue; Hong-Lan Li; Linda M Liao; Aaron Blair; Nathaniel Rothman; Wei Zheng; Wong-Ho Chow
Journal:  Scand J Work Environ Health       Date:  2012-09-13       Impact factor: 5.024

3.  Ergonomic and socioeconomic risk factors for hospital workers' compensation injury claims.

Authors:  Jon Boyer; Monica Galizzi; Manuel Cifuentes; Angelo d'Errico; Rebecca Gore; Laura Punnett; Craig Slatin
Journal:  Am J Ind Med       Date:  2009-07       Impact factor: 2.214

  3 in total

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