ArticleOccupational and environmental medicine2019
The CONSTANCES job exposure matrix based on self-reported exposure to physical risk factors: development and evaluation.
Article in Occupational and environmental medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed.
- CONSTANCES, the French nationwide population cohort: major accomplishments.European journal of epidemiology · 2026Article
- A comparison of task-based and job-based estimation of physical behavior compositions in grocery store workers.Annals of work exposures and health · 2026Article
- Construction of a musculoskeletal job-exposure matrix in Korea.Annals of occupational and environmental medicine · 2026Article
- Synergy and Attenuation of Work-Related Factors in Musculoskeletal Disorders: The Combined Risk Based on Data from the Korean Working Conditions Survey.Medicina (Kaunas, Lithuania) · 2025Article
- Development of a gender-specific European job exposure matrix (EuroJEM) for physical workload and its validation against musculoskeletal pain.Scandinavian journal of work, environment & health · 2025Article
- Association between ocular diseases and screen time and sedentary time derived from job-exposure matrices.Scientific reports · 2024Article
- Comparison Between Musculoskeletal Pain and Gender-Specific, Non-gendered Job-Exposure Matrix and Self-reported Exposures in CONSTANCES.Journal of occupational rehabilitation · 2024Article
- An occupational mechanical job exposure index based on five Norwegian nationwide surveys of living conditions on work environment.BMC research notes · 2024Article
- Comparison of Machine Learning Methods in the Study of Cancer Survivors' Return to Work: An Example of Breast Cancer Survivors with Work-Related Factors in the CONSTANCES Cohort.Journal of occupational rehabilitation · 2023Article
- Development and evaluation of the gender-specific CONSTANCES job exposure matrix for physical risk factors in France.Scandinavian journal of work, environment & health · 2023Article
- Labour market trajectories after part-time sickness absence: a nationwide cohort study from Finland.BMJ open · 2023Article
- How to Use Biomechanical Job Exposure Matrices with Job History to Access Work Exposure for Musculoskeletal Disorders? Application of Mathematical Modeling in Severe Knee Pain in the Constances Cohort.International journal of environmental research and public health · 2022Article
- Constructing and validating an Occupational Mechanical Job Exposure Index based on five Norwegian nationwide Surveys of Living Conditions on work environment.BMC public health · 2022Article
- Reliability of O*NET physical exposures between Italian and US databases.American journal of industrial medicine · 2022Article
- International Inventory of Occupational Exposure Information: OMEGA-NET.Annals of work exposures and health · 2020Article
- Applying two general population job exposure matrices to predict incident carpal tunnel syndrome: A cross-national approach to improve estimation of workplace physical exposures.Scandinavian journal of work, environment & health · 2020Article
- Musculoskeletal symptoms associated with workplace physical exposures estimated by a job exposure matrix and by self-report.American journal of industrial medicine · 2020Article
- Comparison Between a Self-Reported Job Exposure Matrix (JEM CONSTANCES) to an Expertise-Based Job Exposure Matrix (MADE) for Biomechanical Exposures.Journal of occupational and environmental medicine · 2019Article
- Cross-national comparison of two general population job exposure matrices for physical work exposures.Occupational and environmental medicine · 2019Article
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Authors and funding
7 authors.
Funding
Abstract
objectivesJob 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.
methodsThe 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.
resultsNPMANOVA showed significantly higher between-job than within-job variance among the 27 risk factors (F(253,21964)=61.33, p<0.0001, r
conclusionsCONSTANCES 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.
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