The CONSTANCES Job Exposure Matrix Based on Self-Reported Exposure to Physical Risk Factors: Development and Evaluation

Details

• Personal Author:
  Andersen JH ; Buckner-Petty S ; Dale, Ann M. ; Descatha A ; Evanoff BA ; Roquelaure Y ; Yung M
• Description:
  Objectives: Job exposure matrices (JEMs) can be constructed from expert-rated assessments, direct measurement and self-reports. This paper describes the construction of a general population JEM based on self-reported physical exposures, its ability to create homogeneous exposure groups (HEG) and the use of different exposure metrics to express job-level estimates. Methods: The JEM was constructed from physical exposure data obtained from the Cohorte des consultants des Centres d'examens de santé (CONSTANCES). Using data from 35,526 eligible participants, the JEM consisted of 27 physical risk factors from 407 job codes. We determined whether the JEM created HEG by performing non-parametric multivariate analysis of variance (NPMANOVA). We compared three exposure metrics (mean, bias-corrected mean, median) by calculating within-job and between-job variances, and by residual plots between each metric and individual reported exposure. Results: NPMANOVA showed significantly higher between-job than within-job variance among the 27 risk factors (F(253,21964)=61.33, p<0.0001, r2=41.1%). The bias-corrected mean produced more favourable HEG as we observed higher between-job variance and more explained variance than either means or medians. When compared with individual reported exposures, the bias-corrected mean led to near-zero mean differences and lower variance than other exposure metrics. Conclusions: CONSTANCES JEM using self-reported data yielded HEGs, and can thus classify individual participants based on job title. The bias-corrected mean metric may better reflect the shape of the underlying exposure distribution. This JEM opens new possibilities for using unbiased exposure estimates to study the effects of workplace physical exposures on a variety of health conditions within a large general population study. [Description provided by NIOSH]
• Subjects:
  Epidemiology Musculoskeletal Diseases Musculoskeletal System Occupational Health Safety
• Keywords:
  JEM Job Exposure Matrix MSD Musculoskeletal System Disorders Posture Repetitive Work
• ISSN:
  1351-0711
• Document Type:
  Text
• Funding:
  Grant
• Genre:
  Journal Article
• Place as Subject:
  Missouri ; OSHA Region 7
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Pages in Document:
  398-406
• Volume:
  76
• Issue:
  6
• NIOSHTIC Number:
  nn:20054525
• Citation:
  Occup Environ Med 2019 Jun; 76(6):398-406
• Contact Point Address:
  Dr Bradley A Evanoff, Division of General Medical Sciences, Washington University School of Medicine in St Louis, St Louis, MO 63110, USA
• Email:
  bevanoff@dom.wustl.edu
• Federal Fiscal Year:
  2019
• Performing Organization:
  Washington University, St. Louis, Missouri
• Peer Reviewed:
  True
• Start Date:
  20160901
• Source Full Name:
  Occupational and Environmental Medicine
• End Date:
  20190831
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:dd9cd8b7d9a6211b696794cd11481016c43fd8932f2e670aa8cdd4320851afe8d4da912bbb9d0ac616aa9323d773bf958b0a13f3b1b760d4f0cf2f963da3ad94
• Download URL:
  https://stacks.cdc.gov/view/cdc/217056/cdc_217056_DS1.pdf
• File Type:
  [PDF - 1007.93 KB ]