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AJPH First Look, published online ahead of print Jun 2, 2005
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95/7/1233    most recent
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July 2005, Vol 95, No. 7 | American Journal of Public Health 1233-1237
© 2005 American Public Health Association
DOI: 10.2105/AJPH.2004.048777

RESEARCH AND PRACTICE

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

Donald C. Cole, MD, MSc, Selahadin Ibrahim, MSc and Harry S. Shannon, PhD

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.

Correspondence: Requests for reprints should be sent to Donald C. Cole, MD, MSc, Institute for Work & Health, 481 University Ave, Suite 800, Toronto, Ontario M5G 2E9, Canada (e-mail: dcole{at}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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