Journal article
General Population Job Exposure Matrix Applied to a Pooled Study of Prevalent Carpal Tunnel Syndrome
American journal of epidemiology, Vol.181(6), pp.431-439
03/15/2015
DOI: 10.1093/aje/kwu286
PMCID: PMC4425832
PMID: 25700886
Abstract
A job exposure matrix may be useful for the study of biomechanical workplace risk factors when individual-level exposure data are unavailable. We used job title-based exposure data from a public data source to construct a job exposurematrix and test exposure-response relationships with prevalent carpal tunnel syndrome (CTS). Exposures of repetitive motion and force from the Occupational Information Network were assigned to 3,452 active workers from several industries, enrolled between 2001 and 2008 from 6 studies. Repetitive motion and force exposures were combined into high/high, high/low, and low/low exposure groupings in each of 4 multivariable logistic regression models, adjusted for personal factors. Although force measures alone were not independent predictors of CTS in these data, strong associations between combined physical exposures of force and repetition and CTS were observed in all models. Consistent with previous literature, this report shows that workers with high force/high repetition jobs had the highest prevalence of CTS (odds ratio = 2.14-2.95) followed by intermediate values (odds ratio = 1.09-2.27) in mixed exposed jobs relative to the lowest exposed workers. This study supports the use of a general population job exposure matrix to estimate workplace physical exposures in epidemiologic studies of musculoskeletal disorders when measures of individual exposures are unavailable.
Details
- Title: Subtitle
- General Population Job Exposure Matrix Applied to a Pooled Study of Prevalent Carpal Tunnel Syndrome
- Creators
- Ann Marie Dale - Washington University in St. LouisAngelique Zeringue - Washington University in St. LouisCarisa Harris-Adamson - Samuel Merritt UniversityDavid Rempel - University of California, San FranciscoStephen Bao - United States Department of StateMatthew S. Thiese - Day Family MedicineLinda Merlino - University of IowaSusan Burt - National Institute for Occupational Safety and HealthJay Kapellusch - University of Wisconsin–MilwaukeeArun Garg - University of Wisconsin–MilwaukeeFred Gerr - University of IowaKurt T. Hegmann - University of UtahEllen A. Eisen - University of California, BerkeleyBradley Evanoff - Washington University in St. Louis
- Resource Type
- Journal article
- Publication Details
- American journal of epidemiology, Vol.181(6), pp.431-439
- DOI
- 10.1093/aje/kwu286
- PMID
- 25700886
- PMCID
- PMC4425832
- NLM abbreviation
- Am J Epidemiol
- ISSN
- 0002-9262
- eISSN
- 1476-6256
- Publisher
- Oxford Univ Press
- Number of pages
- 9
- Grant note
- R01 OH009712 / Centers for Disease Control and Prevention/National Institute for Occupational Safety and Health; United States Department of Health & Human Services; Centers for Disease Control & Prevention - USA; National Institute for Occupational Safety & Health (NIOSH) UL1TR000448 / NATIONAL CENTER FOR ADVANCING TRANSLATIONAL SCIENCES; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Center for Advancing Translational Sciences (NCATS) UL1 TR000448 / Washington University Institute of Clinical and Translational Sciences from the National Center for Advancing Translational Sciences of the National Institutes of Health R01OH009712 / NATIONAL INSTITUTE FOR OCCUPATIONAL SAFETY AND HEALTH; United States Department of Health & Human Services; Centers for Disease Control & Prevention - USA; National Institute for Occupational Safety & Health (NIOSH)
- Language
- English
- Date published
- 03/15/2015
- Academic Unit
- Occupational and Environmental Health; Epidemiology
- Record Identifier
- 9984364431302771
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