Work-related musculoskeletal disorders: Comparison of data sources for surveillance
dc.contributor.author | Silverstein, Barbara A. | en_US |
dc.contributor.author | Stetson, Diana S. | en_US |
dc.contributor.author | Keyserling, W. Monroe | en_US |
dc.contributor.author | Fine, Lawrence J. | en_US |
dc.date.accessioned | 2006-04-19T13:52:05Z | |
dc.date.available | 2006-04-19T13:52:05Z | |
dc.date.issued | 1997-05 | en_US |
dc.identifier.citation | Silverstein, 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.issn | 0271-3586 | en_US |
dc.identifier.issn | 1097-0274 | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/34815 | |
dc.identifier.uri | http://www.ncbi.nlm.nih.gov/sites/entrez?cmd=retrieve&db=pubmed&list_uids=9099363&dopt=citation | en_US |
dc.description.abstract | Work-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.extent | 55550 bytes | |
dc.format.extent | 3118 bytes | |
dc.format.mimetype | application/pdf | |
dc.format.mimetype | text/plain | |
dc.language.iso | en_US | |
dc.publisher | John Wiley & Sons, Inc. | en_US |
dc.subject.other | Life and Medical Sciences | en_US |
dc.subject.other | Occupational Health and Environmental Toxicology | en_US |
dc.title | Work-related musculoskeletal disorders: Comparison of data sources for surveillance | en_US |
dc.type | Article | en_US |
dc.rights.robots | IndexNoFollow | en_US |
dc.subject.hlbsecondlevel | Public Health | en_US |
dc.subject.hlbtoplevel | Health Sciences | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | University 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 98504-4330 | en_US |
dc.contributor.affiliationum | University of Michigan School of Public Health and Center for Ergonomics, Ann Arbor, MI | en_US |
dc.contributor.affiliationum | University of Michigan School of Public Health and Center for Ergonomics, Ann Arbor, MI | en_US |
dc.contributor.affiliationum | University of Michigan School of Public Health and Center for Ergonomics, Ann Arbor, MI | en_US |
dc.identifier.pmid | 9099363 | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/34815/1/15_ftp.pdf | en_US |
dc.identifier.doi | http://dx.doi.org/10.1002/(SICI)1097-0274(199705)31:5<600::AID-AJIM15>3.0.CO;2-2 | en_US |
dc.identifier.source | American Journal of Industrial Medicine | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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