Predictors of Work-Related Repetitive Strain Injuries in a Population Cohort

Bibliographic Data

ID11037022
AuthorsDonald C Cole (0000-0002-1009-603X, Donald C. Cole and Selahadin Ibrahim are with the Institute for Work & Health and the Department of Public Health Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario. Harry S. Shannon is with the Program in Occupational Health and Environmental Medicine, Faculty of Health Sciences, McMaster University, Hamilton, Ontario, and the Institute for Work & Health.), Selahadin Ibrahim (Donald C. Cole and Selahadin Ibrahim are with the Institute for Work & Health and the Department of Public Health Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario. Harry S. Shannon is with the Program in Occupational Health and Environmental Medicine, Faculty of Health Sciences, McMaster University, Hamilton, Ontario, and the Institute for Work & Health.), Harry S Shannon (0000-0002-7507-427X, Donald C. Cole and Selahadin Ibrahim are with the Institute for Work & Health and the Department of Public Health Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario. Harry S. Shannon is with the Program in Occupational Health and Environmental Medicine, Faculty of Health Sciences, McMaster University, Hamilton, Ontario, and the Institute for Work & Health.)
Year2005
Volume95
Issue7
Pages1233-1237
Publication date2005-07-01
Open AccessNo
TypeARTICLE
VenueAmerican Journal of Public Health (JOURNAL)
Journal identifiersISSN: 0090-0036 • E-ISSN: 1541-0048
PublisherAmerican Public Health Association (PUBLISHER • US)
DOI10.2105/ajph.2004.048777
PMID15933237
PMCIDPMC1449345
OpenAlexW1981581029
LanguageEN
Citations received9
References cited20

Objectives. We assessed predictors of work-related repetitive strain injuries using data from 4 waves of the Canadian National Population Health Survey. Methods. Participants were 2806 working adults who completed an abbreviated version of the Job Content Questionnaire in 1994–1995 and did not experience repetitive strain injuries prior to 2000–2001. Potential previous wave predictors of work-related repetitive strain injuries were modeled via multivariate logistic regression. Results. Female gender (odds ratio [OR] = 1.98; 95% confidence interval [CI]=1.24, 3.18), some college or university education (OR=1.98; 95% CI=1.06, 3.70), job insecurity (OR=1.76; 95% CI=1.07, 2.91), high physical exertion levels (OR = 2.00; 95% CI = 1.29, 3.12), and high levels of psychological demands (OR = 1.61; 95% CI = 1.02, 2.52) were all positively associated with work-related repetitive strain injuries, whereas working less than 30 hours per week exhibited a negative association with such injuries (OR=0.2; 95% CI=0.1, 0.7). Conclusions. Modifiable job characteristics are important predictors of work-related repetitive strain injuries

Cohort · Cohort study · Confidence interval · Environmental health · Injury prevention · Job strain · Logistic regression · Occupational safety and health · Odds ratio · Physical therapy · Poison control · Population · Psychiatry · Demography · Internal Medicine · Medicine · Musculoskeletal pain and rehabilitation · Occupational health in dentistry · Workplace Health and Well-being · Gerontology

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