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Updated: Aug 5, 2026
Subject-specific Musculoskeletal Model for Studying Bone Strain During Dynamic Motion
Published on: April 11, 2018
Predictors of work-related repetitive strain injuries in a population cohort
Donald C Cole1, Selahadin Ibrahim, Harry S Shannon
1Institute for Work & Health, 481 University Ave, Suite 800, Toronto, Ontario M5G 2E9, Canada. dcole@iwh.on.ca
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.
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