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Incident CTS in a large pooled cohort study: associations obtained by a Job Exposure Matrix versus associations obtained from observed exposures

BACKGROUND: There is growing use of a job exposure matrix (JEM) to provide exposure estimates in studies of work-related musculoskeletal disorders; few studies have examined the validity of such estimates, nor did compare associations obtained with a JEM with those obtained using other exposures. OB...

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Autores principales: Dale, Ann Marie, Ekenga, Christine C, Buckner-Petty, Skye, Merlino, Linda, Thiese, Matthew S, Bao, Stephen, Meyers, Alysha Rose, Harris-Adamson, Carisa, Kapellusch, Jay, Eisen, Ellen A, Gerr, Fred, Hegmann, Kurt T, Silverstein, Barbara, Garg, Arun, Rempel, David, Zeringue, Angelique, Evanoff, Bradley A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6035491/
https://www.ncbi.nlm.nih.gov/pubmed/29599164
http://dx.doi.org/10.1136/oemed-2017-104744
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author Dale, Ann Marie
Ekenga, Christine C
Buckner-Petty, Skye
Merlino, Linda
Thiese, Matthew S
Bao, Stephen
Meyers, Alysha Rose
Harris-Adamson, Carisa
Kapellusch, Jay
Eisen, Ellen A
Gerr, Fred
Hegmann, Kurt T
Silverstein, Barbara
Garg, Arun
Rempel, David
Zeringue, Angelique
Evanoff, Bradley A
author_facet Dale, Ann Marie
Ekenga, Christine C
Buckner-Petty, Skye
Merlino, Linda
Thiese, Matthew S
Bao, Stephen
Meyers, Alysha Rose
Harris-Adamson, Carisa
Kapellusch, Jay
Eisen, Ellen A
Gerr, Fred
Hegmann, Kurt T
Silverstein, Barbara
Garg, Arun
Rempel, David
Zeringue, Angelique
Evanoff, Bradley A
author_sort Dale, Ann Marie
collection PubMed
description BACKGROUND: There is growing use of a job exposure matrix (JEM) to provide exposure estimates in studies of work-related musculoskeletal disorders; few studies have examined the validity of such estimates, nor did compare associations obtained with a JEM with those obtained using other exposures. OBJECTIVE: This study estimated upper extremity exposures using a JEM derived from a publicly available data set (Occupational Network, O*NET), and compared exposure-disease associations for incident carpal tunnel syndrome (CTS) with those obtained using observed physical exposure measures in a large prospective study. METHODS: 2393 workers from several industries were followed for up to 2.8 years (5.5 person-years). Standard Occupational Classification (SOC) codes were assigned to the job at enrolment. SOC codes linked to physical exposures for forceful hand exertion and repetitive activities were extracted from O*NET. We used multivariable Cox proportional hazards regression models to describe exposure-disease associations for incident CTS for individually observed physical exposures and JEM exposures from O*NET. RESULTS: Both exposure methods found associations between incident CTS and exposures of force and repetition, with evidence of dose–response. Observed associations were similar across the two methods, with somewhat wider CIs for HRs calculated using the JEM method. CONCLUSION: Exposures estimated using a JEM provided similar exposure-disease associations for CTS when compared with associations obtained using the ‘gold standard’ method of individual observation. While JEMs have a number of limitations, in some studies they can provide useful exposure estimates in the absence of individual-level observed exposures.
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spelling pubmed-60354912018-07-10 Incident CTS in a large pooled cohort study: associations obtained by a Job Exposure Matrix versus associations obtained from observed exposures Dale, Ann Marie Ekenga, Christine C Buckner-Petty, Skye Merlino, Linda Thiese, Matthew S Bao, Stephen Meyers, Alysha Rose Harris-Adamson, Carisa Kapellusch, Jay Eisen, Ellen A Gerr, Fred Hegmann, Kurt T Silverstein, Barbara Garg, Arun Rempel, David Zeringue, Angelique Evanoff, Bradley A Occup Environ Med Exposure Assessment BACKGROUND: There is growing use of a job exposure matrix (JEM) to provide exposure estimates in studies of work-related musculoskeletal disorders; few studies have examined the validity of such estimates, nor did compare associations obtained with a JEM with those obtained using other exposures. OBJECTIVE: This study estimated upper extremity exposures using a JEM derived from a publicly available data set (Occupational Network, O*NET), and compared exposure-disease associations for incident carpal tunnel syndrome (CTS) with those obtained using observed physical exposure measures in a large prospective study. METHODS: 2393 workers from several industries were followed for up to 2.8 years (5.5 person-years). Standard Occupational Classification (SOC) codes were assigned to the job at enrolment. SOC codes linked to physical exposures for forceful hand exertion and repetitive activities were extracted from O*NET. We used multivariable Cox proportional hazards regression models to describe exposure-disease associations for incident CTS for individually observed physical exposures and JEM exposures from O*NET. RESULTS: Both exposure methods found associations between incident CTS and exposures of force and repetition, with evidence of dose–response. Observed associations were similar across the two methods, with somewhat wider CIs for HRs calculated using the JEM method. CONCLUSION: Exposures estimated using a JEM provided similar exposure-disease associations for CTS when compared with associations obtained using the ‘gold standard’ method of individual observation. While JEMs have a number of limitations, in some studies they can provide useful exposure estimates in the absence of individual-level observed exposures. BMJ Publishing Group 2018-07 2018-03-29 /pmc/articles/PMC6035491/ /pubmed/29599164 http://dx.doi.org/10.1136/oemed-2017-104744 Text en © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted. 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 and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
spellingShingle Exposure Assessment
Dale, Ann Marie
Ekenga, Christine C
Buckner-Petty, Skye
Merlino, Linda
Thiese, Matthew S
Bao, Stephen
Meyers, Alysha Rose
Harris-Adamson, Carisa
Kapellusch, Jay
Eisen, Ellen A
Gerr, Fred
Hegmann, Kurt T
Silverstein, Barbara
Garg, Arun
Rempel, David
Zeringue, Angelique
Evanoff, Bradley A
Incident CTS in a large pooled cohort study: associations obtained by a Job Exposure Matrix versus associations obtained from observed exposures
title Incident CTS in a large pooled cohort study: associations obtained by a Job Exposure Matrix versus associations obtained from observed exposures
title_full Incident CTS in a large pooled cohort study: associations obtained by a Job Exposure Matrix versus associations obtained from observed exposures
title_fullStr Incident CTS in a large pooled cohort study: associations obtained by a Job Exposure Matrix versus associations obtained from observed exposures
title_full_unstemmed Incident CTS in a large pooled cohort study: associations obtained by a Job Exposure Matrix versus associations obtained from observed exposures
title_short Incident CTS in a large pooled cohort study: associations obtained by a Job Exposure Matrix versus associations obtained from observed exposures
title_sort incident cts in a large pooled cohort study: associations obtained by a job exposure matrix versus associations obtained from observed exposures
topic Exposure Assessment
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6035491/
https://www.ncbi.nlm.nih.gov/pubmed/29599164
http://dx.doi.org/10.1136/oemed-2017-104744
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