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Cross-national comparison of two general population job exposure matrices for physical work exposures
OBJECTIVES: Job exposure matrices (JEMs) are increasingly used to estimate physical workplace exposures. We conducted a cross-national comparison of exposure estimates from two general population JEMs to aid the interpretation of exposure–outcome associations across countries and to explore the feas...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6703148/ https://www.ncbi.nlm.nih.gov/pubmed/30894424 http://dx.doi.org/10.1136/oemed-2018-105408 |
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author | Evanoff, Bradley Yung, Marcus Buckner-Petty, Skye Baca, Matthew Andersen, Johan Hviid Roquelaure, Yves Descatha, Alexis Dale, Ann Marie |
author_facet | Evanoff, Bradley Yung, Marcus Buckner-Petty, Skye Baca, Matthew Andersen, Johan Hviid Roquelaure, Yves Descatha, Alexis Dale, Ann Marie |
author_sort | Evanoff, Bradley |
collection | PubMed |
description | OBJECTIVES: Job exposure matrices (JEMs) are increasingly used to estimate physical workplace exposures. We conducted a cross-national comparison of exposure estimates from two general population JEMs to aid the interpretation of exposure–outcome associations across countries and to explore the feasibility of cross-national application of JEMs to provide workplace physical exposure estimates. METHODS: We compared physical exposure estimates from two general population JEMs created from the FrenchCohorte des consultants des Centres d’examens de santé study (27 exposure variables) and the American Occupational Information Network database (21 exposure variables). These exposure variables were related to physical demands or ergonomic risk factors for musculoskeletal disorders. We used a crosswalk to match French Profession et Catégorie Sociale job codes with American Standard Occupational Classification job codes and calculated Spearman’s correlations and Cohen’s kappa values for exposure variable pairs between these French and American JEMs. We defined a priori 50 matched French and American JEM variable pairs that measured similar exposures. RESULTS: All variable pairs measuring similar physical exposures demonstrated positive correlations. Among the 50 matched pairs, 33 showed high correlation (ρ≥0.70) and 46 showed at least moderate agreement (κ≥0.41). Exposures expected to be mutually exclusive (manual work vs office work) showed strongly negative correlations. CONCLUSIONS: French and American general population physical exposure JEMs were related, sharing moderate to high association and moderate to substantial agreement between the majority of variable pairs measuring similar exposures. These findings will inform cross-national comparisons of study results and support some uses of general population JEMs outside their countries of origin. |
format | Online Article Text |
id | pubmed-6703148 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-67031482019-09-02 Cross-national comparison of two general population job exposure matrices for physical work exposures Evanoff, Bradley Yung, Marcus Buckner-Petty, Skye Baca, Matthew Andersen, Johan Hviid Roquelaure, Yves Descatha, Alexis Dale, Ann Marie Occup Environ Med Exposure Assessment OBJECTIVES: Job exposure matrices (JEMs) are increasingly used to estimate physical workplace exposures. We conducted a cross-national comparison of exposure estimates from two general population JEMs to aid the interpretation of exposure–outcome associations across countries and to explore the feasibility of cross-national application of JEMs to provide workplace physical exposure estimates. METHODS: We compared physical exposure estimates from two general population JEMs created from the FrenchCohorte des consultants des Centres d’examens de santé study (27 exposure variables) and the American Occupational Information Network database (21 exposure variables). These exposure variables were related to physical demands or ergonomic risk factors for musculoskeletal disorders. We used a crosswalk to match French Profession et Catégorie Sociale job codes with American Standard Occupational Classification job codes and calculated Spearman’s correlations and Cohen’s kappa values for exposure variable pairs between these French and American JEMs. We defined a priori 50 matched French and American JEM variable pairs that measured similar exposures. RESULTS: All variable pairs measuring similar physical exposures demonstrated positive correlations. Among the 50 matched pairs, 33 showed high correlation (ρ≥0.70) and 46 showed at least moderate agreement (κ≥0.41). Exposures expected to be mutually exclusive (manual work vs office work) showed strongly negative correlations. CONCLUSIONS: French and American general population physical exposure JEMs were related, sharing moderate to high association and moderate to substantial agreement between the majority of variable pairs measuring similar exposures. These findings will inform cross-national comparisons of study results and support some uses of general population JEMs outside their countries of origin. BMJ Publishing Group 2019-08 2019-03-20 /pmc/articles/PMC6703148/ /pubmed/30894424 http://dx.doi.org/10.1136/oemed-2018-105408 Text en © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/. |
spellingShingle | Exposure Assessment Evanoff, Bradley Yung, Marcus Buckner-Petty, Skye Baca, Matthew Andersen, Johan Hviid Roquelaure, Yves Descatha, Alexis Dale, Ann Marie Cross-national comparison of two general population job exposure matrices for physical work exposures |
title | Cross-national comparison of two general population job exposure matrices for physical work exposures |
title_full | Cross-national comparison of two general population job exposure matrices for physical work exposures |
title_fullStr | Cross-national comparison of two general population job exposure matrices for physical work exposures |
title_full_unstemmed | Cross-national comparison of two general population job exposure matrices for physical work exposures |
title_short | Cross-national comparison of two general population job exposure matrices for physical work exposures |
title_sort | cross-national comparison of two general population job exposure matrices for physical work exposures |
topic | Exposure Assessment |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6703148/ https://www.ncbi.nlm.nih.gov/pubmed/30894424 http://dx.doi.org/10.1136/oemed-2018-105408 |
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