Using Observation and Self-Report to Predict Mean, 90th Percentile, and Cumulative Low Back Muscle Activity in Heavy Industry Workers
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2010/07/01
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Description: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. [Description provided by NIOSH]
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ISSN:2398-7308
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Volume:54
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Issue:5
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NIOSHTIC Number:nn:20054752
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Citation:Ann Work Expo Health 2010 Jul; 54(5):595-606
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Contact Point Address:Catherine Trask, CBF, Centre for Musculoskeletal Research, University of Gävle, SE-801 76 Gävle, Sweden
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Email:cmtrask@gmail.com
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Federal Fiscal Year:2010
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Performing Organization:University of Washington
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Peer Reviewed:True
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Start Date:20050701
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Source Full Name:Annals of Work Exposures and Health
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End Date:20250630
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Main Document Checksum:urn:sha-512:2ce4f6127342ca375e89800fbd6293827c0753f804bce2fb44e68ec46448b2527462b021b517645d6a7bebda5144200f57bb73a173c7467b504a1aa49d70c957
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