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Work-related musculoskeletal disorders: Comparison of data sources for surveillance

dc.contributor.authorSilverstein, Barbara A.en_US
dc.contributor.authorStetson, Diana S.en_US
dc.contributor.authorKeyserling, W. Monroeen_US
dc.contributor.authorFine, Lawrence J.en_US
dc.date.accessioned2006-04-19T13:52:05Z
dc.date.available2006-04-19T13:52:05Z
dc.date.issued1997-05en_US
dc.identifier.citationSilverstein, Barbara A.; Stetson, Diana S.; Keyserling, W. Monroe; Fine, Lawrence J. (1997)."Work-related musculoskeletal disorders: Comparison of data sources for surveillance." American Journal of Industrial Medicine 31(5): 600-608. <http://hdl.handle.net/2027.42/34815>en_US
dc.identifier.issn0271-3586en_US
dc.identifier.issn1097-0274en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/34815
dc.identifier.urihttp://www.ncbi.nlm.nih.gov/sites/entrez?cmd=retrieve&db=pubmed&list_uids=9099363&dopt=citationen_US
dc.description.abstractWork-related upper extremity musculoskeletal disorders “associated with repeated trauma” account for more than 60% of all newly reported occupational illness, 332,000 in 1994 according to the U.S. Department of Labor. These numbers do not include, for example, those disorders categorized as “injuries due to overexertion in lifting,” approximately 370,000. Early identification of potential disorders and associated risk factors is needed to reduce these disorders. There are a number of possible methods for conducting surveillance for work-related musculoskeletal disorders (WMDs) based on health outcome: workers' compensation, sickness and accident insurance, OSHA 200 logs, plant medical records, self-administered questionnaires, professional interviews, and physical examinations. In addition, hazard surveillance based on evaluation of job exposures to physical stressors by nonoccupational health personnel is possible. As part of a large labor-management-initiated intervention study to reduce the incidence of WMDs in four automotive plants, we were able to compare the strengths and limitations of each of these surveillance tools. University administered health interviews yielded the highest rate of symptoms; combined physical examinations plus interview (point prevalence) rates were similar to self-administered questionnaires (period prevalence) rates. Plant medical records yielded the lowest rate of WMDs. WMD status on self-administered questionnaire and on physical examination were associated with risk factor exposure scores. This study suggests that symptoms questionnaires associated with risk factor exposure scores. This study suggests that symptoms questionnaires and checklist-based hazard surveillance are feasible within the context of joint labor-management ergonomics programs and are more sensitive indicators of ergonomic problems than pre-existing data sources. Am. J. Ind. Med. 31:600–608, 1997. © 1997 Wiley-Liss, Inc.en_US
dc.format.extent55550 bytes
dc.format.extent3118 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherJohn Wiley & Sons, Inc.en_US
dc.subject.otherLife and Medical Sciencesen_US
dc.subject.otherOccupational Health and Environmental Toxicologyen_US
dc.titleWork-related musculoskeletal disorders: Comparison of data sources for surveillanceen_US
dc.typeArticleen_US
dc.rights.robotsIndexNoFollowen_US
dc.subject.hlbsecondlevelPublic Healthen_US
dc.subject.hlbtoplevelHealth Sciencesen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumUniversity of Michigan School of Public Health and Center for Ergonomics, Ann Arbor, MI ; Safety and Health Assessment and Research for Prevention, Washington State and State Department of Labor and Industries, P.O. Box 44330, Olympia, WA 98504-4330en_US
dc.contributor.affiliationumUniversity of Michigan School of Public Health and Center for Ergonomics, Ann Arbor, MIen_US
dc.contributor.affiliationumUniversity of Michigan School of Public Health and Center for Ergonomics, Ann Arbor, MIen_US
dc.contributor.affiliationumUniversity of Michigan School of Public Health and Center for Ergonomics, Ann Arbor, MIen_US
dc.identifier.pmid9099363en_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/34815/1/15_ftp.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1002/(SICI)1097-0274(199705)31:5<600::AID-AJIM15>3.0.CO;2-2en_US
dc.identifier.sourceAmerican Journal of Industrial Medicineen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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