%0 Journal Article %T Cross-national comparison of two general population job exposure matrices for physical work exposures %+ Washington University in Saint Louis (WUSTL) %+ University research clinic [Herning, Denmark] %+ Institut de recherche en santé, environnement et travail (Irset) %+ Service d'Imagerie Médicale [Raymond-Poincaré] %+ Vieillissement et Maladies chroniques : approches épidémiologique et de santé publique (VIMA) %+ Cohortes épidémiologiques en population (CONSTANCES) %A Evanoff, Bradley %A Yung, Marcus %A Buckner-Petty, Skye %A Baca, Matthew %A Andersen, Johan Hviid %A Roquelaure, Yves %A Descatha, Alexis %A Dale, Ann Marie %Z American National Institute for Occupational Safety and HealthUnited States Department of Health and Human ServicesCenters for Disease Control and Prevention - USANational Institute for Occupational Safety and Health (NIOSH) [NIOSH R01OH011076] %Z French National Research AgencyFrench National Research Agency (ANR) [ANR-11-INBS-0002] %Z Institut de Recherche en Sante Publique/Institut Thematique Sante Publique %Z Ministere de la sante et des sports %Z Institut national de la sante et de la recherche medicaleInstitut National de la Sante et de la Recherche Medicale (Inserm) %Z Institut national du cancer et Caisse nationale de solidarite pour l'autonomieInstitut National du Cancer (INCA) France %Z Institute for research in public health (IReSP, CapaciT project) %Z Ministere delegue a la recherche %Z Caisse Nationale d'Assurance Maladie des travailleurs salaries-CNAMTS %< avec comité de lecture %@ 1351-0711 %J Occupational and Environmental Medicine %I BMJ Publishing Group %V 76 %N 8 %P 567-572 %8 2019 %D 2019 %R 10.1136/oemed-2018-105408 %M 30894424 %K musculoskeletal disorders %K biomechanical exposure assessment %K ergonomics %K epidemiology %Z Life Sciences [q-bio]Journal articles %X 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 sante 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 Categorie 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 (rho >= 0.70) and 46 showed at least moderate agreement (kappa >= 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. %G English %2 https://univ-rennes.hal.science/hal-02303538/document %2 https://univ-rennes.hal.science/hal-02303538/file/567.full.pdf %L hal-02303538 %U https://univ-rennes.hal.science/hal-02303538 %~ INSERM %~ UNIV-RENNES1 %~ UNIV-ANGERS %~ APHP %~ IFR140 %~ CONSTANCES %~ IRSET %~ UVSQ %~ STATS-UR1 %~ IRSET-SMS %~ IRSET-CCII %~ IRSET-TREC %~ IRSET-HIAEC %~ IRSET-SMLF %~ IRSET-ERD %~ IRSET-VCER %~ IRSET-NEED %~ IRSET-TNGC %~ UR1-UFR-SVE %~ UR1-HAL %~ UR1-SDV %~ INSERM-SACLAY %~ UNIV-PARIS-SACLAY %~ UVSQ-SACLAY %~ IRSET-10 %~ TEST-UR-CSS %~ UNIV-RENNES %~ VIMA %~ UVSQ-UPSACLAY %~ ANR %~ UR1-BIO-SA %~ TEST3-HALCNRS