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

BackgroundThere 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.Objec...

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Veröffentlicht in:Occupational and environmental medicine (London, England) England), 2018-07, Vol.75 (7), p.501-506
Hauptverfasser: 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
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container_end_page 506
container_issue 7
container_start_page 501
container_title Occupational and environmental medicine (London, England)
container_volume 75
creator 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
description BackgroundThere 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.ObjectiveThis 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.Methods2393 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.ResultsBoth 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.ConclusionExposures 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.
doi_str_mv 10.1136/oemed-2017-104744
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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.ResultsBoth 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.ConclusionExposures 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.</description><identifier>ISSN: 1351-0711</identifier><identifier>EISSN: 1470-7926</identifier><identifier>DOI: 10.1136/oemed-2017-104744</identifier><identifier>PMID: 29599164</identifier><language>eng</language><publisher>England: BMJ</publisher><subject>Biomechanics ; Carpal tunnel syndrome ; Chronic illnesses ; Cohort analysis ; Estimates ; Exposure ; Exposure Assessment ; Hazards ; Job titles ; Longitudinal studies ; Occupational exposure ; ORIGINAL ARTICLE ; Overuse injuries ; Pain ; Population ; Regression analysis ; Regression models ; Risk factors ; Workers</subject><ispartof>Occupational and environmental medicine (London, England), 2018-07, Vol.75 (7), p.501-506</ispartof><rights>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.</rights><rights>Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018</rights><rights>2018 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</rights><rights>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. 2018</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-b486t-76a74aa40c51e41e4a3261e412a6988773883cc954b6c4dffa3755d78a84e1763</citedby><cites>FETCH-LOGICAL-b486t-76a74aa40c51e41e4a3261e412a6988773883cc954b6c4dffa3755d78a84e1763</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/26894158$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/26894158$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>230,314,776,780,799,881,27901,27902,57992,58225</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29599164$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Dale, Ann Marie</creatorcontrib><creatorcontrib>Ekenga, Christine C</creatorcontrib><creatorcontrib>Buckner-Petty, Skye</creatorcontrib><creatorcontrib>Merlino, Linda</creatorcontrib><creatorcontrib>Thiese, Matthew S</creatorcontrib><creatorcontrib>Bao, Stephen</creatorcontrib><creatorcontrib>Meyers, Alysha Rose</creatorcontrib><creatorcontrib>Harris-Adamson, Carisa</creatorcontrib><creatorcontrib>Kapellusch, Jay</creatorcontrib><creatorcontrib>Eisen, Ellen A</creatorcontrib><creatorcontrib>Gerr, Fred</creatorcontrib><creatorcontrib>Hegmann, Kurt T</creatorcontrib><creatorcontrib>Silverstein, Barbara</creatorcontrib><creatorcontrib>Garg, Arun</creatorcontrib><creatorcontrib>Rempel, David</creatorcontrib><creatorcontrib>Zeringue, Angelique</creatorcontrib><creatorcontrib>Evanoff, Bradley A</creatorcontrib><title>Incident CTS in a large pooled cohort study: associations obtained by a Job Exposure Matrix versus associations obtained from observed exposures</title><title>Occupational and environmental medicine (London, England)</title><addtitle>Occup Environ Med</addtitle><description>BackgroundThere 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.ObjectiveThis 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.Methods2393 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.ResultsBoth 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.ConclusionExposures 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.</description><subject>Biomechanics</subject><subject>Carpal tunnel syndrome</subject><subject>Chronic illnesses</subject><subject>Cohort analysis</subject><subject>Estimates</subject><subject>Exposure</subject><subject>Exposure Assessment</subject><subject>Hazards</subject><subject>Job titles</subject><subject>Longitudinal studies</subject><subject>Occupational exposure</subject><subject>ORIGINAL ARTICLE</subject><subject>Overuse injuries</subject><subject>Pain</subject><subject>Population</subject><subject>Regression analysis</subject><subject>Regression models</subject><subject>Risk factors</subject><subject>Workers</subject><issn>1351-0711</issn><issn>1470-7926</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>9YT</sourceid><sourceid>ACMMV</sourceid><sourceid>BENPR</sourceid><recordid>eNqNUVtrFDEYDaLYdvUH-KAEfOmDU3ObXHwQZKm1peKD9TlkMpk2y8xkm2SW7r_wJ5vtrPUCghDI93HO-W4HgBcYnWBM-dvgBtdWBGFRYcQEY4_AIWYCVUIR_rjEtMYVEhgfgKOUVghhKih5Cg6IqpXCnB2C7-ej9a0bM1xefYV-hAb2Jl47uA6hdy204SbEDFOe2u07aFIK1pvsw5hgaLLxY-E026K6CA08vVuHNEUHP5sc_R3cuJim9A9VF8NQsuTipmRuL03PwJPO9Mk93_8L8O3j6dXyU3X55ex8-eGyapjkuRLcCGYMQ7bGjpVnKOG7iBiupBSCSkmtVTVruGVt1xkq6roV0kjmsOB0Ad7PdddTU65oywmi6fU6-sHErQ7G6z-R0d_o67DRHNGaKVwKHO8LxHA7uZT14JN1fW9GF6akCSKIKcbKKAvw-i_qKkxxLOtpgkWxQpTZCwvPLBtDStF1D8NgpHd-63u_9c5vPftdNK9-3-JB8dPgQng5E1Yph_gL51IxXMuCv5nxZlj9R78fdazBXA</recordid><startdate>20180701</startdate><enddate>20180701</enddate><creator>Dale, Ann Marie</creator><creator>Ekenga, Christine C</creator><creator>Buckner-Petty, Skye</creator><creator>Merlino, Linda</creator><creator>Thiese, Matthew S</creator><creator>Bao, Stephen</creator><creator>Meyers, Alysha Rose</creator><creator>Harris-Adamson, Carisa</creator><creator>Kapellusch, Jay</creator><creator>Eisen, Ellen A</creator><creator>Gerr, Fred</creator><creator>Hegmann, Kurt T</creator><creator>Silverstein, Barbara</creator><creator>Garg, Arun</creator><creator>Rempel, David</creator><creator>Zeringue, Angelique</creator><creator>Evanoff, Bradley A</creator><general>BMJ</general><general>BMJ Publishing Group LTD</general><general>BMJ Publishing Group</general><scope>9YT</scope><scope>ACMMV</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8C1</scope><scope>8FE</scope><scope>8FG</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>BTHHO</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB0</scope><scope>L6V</scope><scope>M0S</scope><scope>M1P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>PATMY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20180701</creationdate><title>Incident CTS in a large pooled cohort study: associations obtained by a Job Exposure Matrix versus associations obtained from observed exposures</title><author>Dale, Ann Marie ; 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few studies have examined the validity of such estimates, nor did compare associations obtained with a JEM with those obtained using other exposures.ObjectiveThis 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.Methods2393 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.ResultsBoth 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.ConclusionExposures 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.</abstract><cop>England</cop><pub>BMJ</pub><pmid>29599164</pmid><doi>10.1136/oemed-2017-104744</doi><tpages>6</tpages><oa>free_for_read</oa></addata></record>
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issn 1351-0711
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source Jstor Complete Legacy
subjects Biomechanics
Carpal tunnel syndrome
Chronic illnesses
Cohort analysis
Estimates
Exposure
Exposure Assessment
Hazards
Job titles
Longitudinal studies
Occupational exposure
ORIGINAL ARTICLE
Overuse injuries
Pain
Population
Regression analysis
Regression models
Risk factors
Workers
title Incident CTS in a large pooled cohort study: associations obtained by a Job Exposure Matrix versus associations obtained from observed exposures
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