Applying two general population job exposure matrices to predict incident carpal tunnel syndrome: A cross-national approach to improve estimation of workplace physical exposures

Marcus Yung; Bradley A. Evanoff; Skye Buckner-Petty; Yves Roquelaure; Alexis Descatha; Ann Marie Dale

doi:10.5271/sjweh.3855

Applying two general population job exposure matrices to predict incident carpal tunnel syndrome: A cross-national approach to improve estimation of workplace physical exposures

Marcus Yung, Bradley A. Evanoff, Skye Buckner-Petty, Yves Roquelaure, Alexis Descatha, Ann Marie Dale

Research output: Contribution to journal › Article › peer-review

8 Scopus citations

Abstract

General population job exposure matrices (JEM) are useful tools to estimate workplace physical exposures in population studies. The French CONSTANCES JEM and American O*NET JEM demonstrated similar exposure-disease associations as individual-level directly observed exposures. JEM can be applied cross-nationally. Combining complementary variables between two JEM and between JEM and individual-level directly observed exposures improved prediction of health conditions.

Original language	English
Pages (from-to)	248-258
Number of pages	11
Journal	Scandinavian Journal of Work, Environment and Health
Volume	46
Issue number	3
DOIs	https://doi.org/10.5271/sjweh.3855
State	Published - 2020

Keywords

Assessment injury prevention
CTS
Carpal tunnel syndrome
Ergonomics
Exposure
Incident carpal tunnel syndrome
JEM
Job exposure matrix
MSD
Musculoskeletal disorder
Occupational health
Physical exposure
Prediction
Risk
Risk
Workplace physical exposure

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10.5271/sjweh.3855

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Yung, M., Evanoff, B. A., Buckner-Petty, S., Roquelaure, Y., Descatha, A., & Dale, A. M. (2020). 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 and Health, 46(3), 248-258. https://doi.org/10.5271/sjweh.3855

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title = "Applying two general population job exposure matrices to predict incident carpal tunnel syndrome: A cross-national approach to improve estimation of workplace physical exposures",

abstract = "General population job exposure matrices (JEM) are useful tools to estimate workplace physical exposures in population studies. The French CONSTANCES JEM and American O*NET JEM demonstrated similar exposure-disease associations as individual-level directly observed exposures. JEM can be applied cross-nationally. Combining complementary variables between two JEM and between JEM and individual-level directly observed exposures improved prediction of health conditions.",

keywords = "Assessment injury prevention, CTS, Carpal tunnel syndrome, Ergonomics, Exposure, Incident carpal tunnel syndrome, JEM, Job exposure matrix, MSD, Musculoskeletal disorder, Occupational health, Physical exposure, Prediction, Risk, Risk, Workplace physical exposure",

author = "Marcus Yung and Evanoff, {Bradley A.} and Skye Buckner-Petty and Yves Roquelaure and Alexis Descatha and Dale, {Ann Marie}",

year = "2020",

doi = "10.5271/sjweh.3855",

language = "English",

volume = "46",

pages = "248--258",

journal = "Scandinavian Journal of Work, Environment and Health",

issn = "0355-3140",

number = "3",

}

Yung, M, Evanoff, BA, Buckner-Petty, S, Roquelaure, Y, Descatha, A & Dale, AM 2020, '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 and Health, vol. 46, no. 3, pp. 248-258. https://doi.org/10.5271/sjweh.3855

Applying two general population job exposure matrices to predict incident carpal tunnel syndrome: A cross-national approach to improve estimation of workplace physical exposures. / Yung, Marcus; Evanoff, Bradley A.; Buckner-Petty, Skye et al.
In: Scandinavian Journal of Work, Environment and Health, Vol. 46, No. 3, 2020, p. 248-258.

Research output: Contribution to journal › Article › peer-review

TY - JOUR

T1 - Applying two general population job exposure matrices to predict incident carpal tunnel syndrome

T2 - A cross-national approach to improve estimation of workplace physical exposures

AU - Yung, Marcus

AU - Evanoff, Bradley A.

AU - Buckner-Petty, Skye

AU - Roquelaure, Yves

AU - Descatha, Alexis

AU - Dale, Ann Marie

PY - 2020

Y1 - 2020

N2 - General population job exposure matrices (JEM) are useful tools to estimate workplace physical exposures in population studies. The French CONSTANCES JEM and American O*NET JEM demonstrated similar exposure-disease associations as individual-level directly observed exposures. JEM can be applied cross-nationally. Combining complementary variables between two JEM and between JEM and individual-level directly observed exposures improved prediction of health conditions.

AB - General population job exposure matrices (JEM) are useful tools to estimate workplace physical exposures in population studies. The French CONSTANCES JEM and American O*NET JEM demonstrated similar exposure-disease associations as individual-level directly observed exposures. JEM can be applied cross-nationally. Combining complementary variables between two JEM and between JEM and individual-level directly observed exposures improved prediction of health conditions.

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KW - CTS

KW - Carpal tunnel syndrome

KW - Ergonomics

KW - Exposure

KW - Incident carpal tunnel syndrome

KW - JEM

KW - Job exposure matrix

KW - MSD

KW - Musculoskeletal disorder

KW - Occupational health

KW - Physical exposure

KW - Prediction

KW - Risk

KW - Workplace physical exposure

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AN - SCOPUS:85074749800

SN - 0355-3140

VL - 46

SP - 248

EP - 258

JO - Scandinavian Journal of Work, Environment and Health

JF - Scandinavian Journal of Work, Environment and Health

IS - 3

ER -

Applying two general population job exposure matrices to predict incident carpal tunnel syndrome: A cross-national approach to improve estimation of workplace physical exposures

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