hig.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard-cite-them-right
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • sv-SE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • de-DE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Using observation and self-report to predict mean, 90th percentile, and cumulative low back muscle activity in heavy industry workers
University of Gävle, Faculty of Health and Occupational Studies, Department of Occupational and Public Health Sciences, CBF. University of Gävle, Centre for Musculoskeletal Research. University of British Columbia School of Environmental Health, Vancouver, BC, Canada.
University of British Columbia School of Population and Public Health, Vancouver, Canada .
Simon Fraser University School of Kinesiology, Burnaby, Canada.
University of British Columbia School of Environmental Health, Vancouver, Canada.
Show others and affiliations
2010 (English)In: Annals of Occupational Hygiene, ISSN 0003-4878, E-ISSN 1475-3162, Vol. 54, no 5, p. 595-606Article in journal (Refereed) Published
Abstract [en]

Occupational injury research depends on the ability to accurately assess workplace exposures for large numbers of workers. This study used mixed modeling to identify observed and self-reported predictors of mean, 90th percentile, and cumulative low back muscle activity to help researchers efficiently assess physical exposures in epidemiological studies. Full-shift low back electromyography (EMG) was measured for 133 worker-days in heavy industry. Additionally, full-shift, 1-min interval work-sampling observations and post-shift interviews assessed exposure to work tasks, trunk postures, and manual materials handling. Data were also collected on demographic and job variables. Regression models using observed variables predicted 31-47% of the variability in the EMG activity measures, while self-reported variables predicted 21-36%. Observation-based models performed better than self-report-based models and may provide an alternative to direct measurement of back injury risk factors.

Place, publisher, year, edition, pages
2010. Vol. 54, no 5, p. 595-606
Keywords [en]
determinants of exposure, ergonomics, exposure assessment, exposure prediction, low back disorders, observation, self-report
National Category
Occupational Health and Environmental Health
Identifiers
URN: urn:nbn:se:hig:diva-7331DOI: 10.1093/annhyg/meq011ISI: 000280415100011PubMedID: 20413415Scopus ID: 2-s2.0-84929469265OAI: oai:DiVA.org:hig-7331DiVA, id: diva2:343234
Available from: 2010-08-12 Created: 2010-08-12 Last updated: 2020-12-31Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textPubMedScopus

Authority records

Trask, Catherine

Search in DiVA

By author/editor
Trask, Catherine
By organisation
CBFCentre for Musculoskeletal Research
In the same journal
Annals of Occupational Hygiene
Occupational Health and Environmental Health

Search outside of DiVA

GoogleGoogle Scholar

doi
pubmed
urn-nbn

Altmetric score

doi
pubmed
urn-nbn
Total: 344 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard-cite-them-right
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • sv-SE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • de-DE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf