Work injuries.
OBJECTIVE
This article compares work injury occurrence by occupational category, and examines its relationship with selected factors reflecting work organization and environment. Associations between work injury and socio-demographic and other health-related variables are also considered.


METHODS
Data are from the 2003 Canadian Community Health Survey (cycle 2.1).


METHODS
Cross-sectional estimates of the proportion of workers injured on the job were calculated by occupational category, and by selected work-related, personal and socio-demographic characteristics. Multivariate analyses were used to study associations between work injury and job-related factors, while controlling for other influences.


RESULTS
In 2003, an estimated 630,000 Canadian workers experienced at least one activity-limiting occupational injury. Of people in trades, transport and equipment operation, 9% sustained an on-the-job injury, compared with 2% of workers in the "white-collar" sector. Work injury was more common in male (5%) than in female workers (2%). In multivariate analysis, some work-related variables were associated with occupational injury for both sexes: employment in trades, transport and equipment operation, primary industries, and processing, manufacturing and utilities; shift work; and heavy labour. Income under $60,000 and working long hours were associated with injury in men, but not in women. Women reporting their jobs as stressful had higher odds of injury; in men, no association with work stress emerged.
Wilkins
Kathryn
K
Health Information and Research Division, Statistics Canada, Ottawa, Ontario, K1A 0T6. Kathryn.Wilkins@statcan.ca
Mackenzie
Susan G
SG
D000062:Accidents, Occupational / Q000706:statistics & numerical data*; D000293:Adolescent; D000328:Adult; D000367:Age Factors; D000368:Aged; D019567:Back Injuries / Q000453:epidemiology; D002170:Canada / Q000453:epidemiology; D005260:Female; D005843:Geography; D006230:Hand Injuries / Q000453:epidemiology; D006306:Health Surveys; D006801:Humans; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D009790:Occupations / Q000145:classification* / Q000706:statistics & numerical data; D012307:Risk Factors; D012737:Sex Factors; D012907:Smoking; D012959:Socioeconomic Factors; D013315:Stress, Psychological; D014940:Work Schedule Tolerance; D014947:Wounds and Injuries / Q000453:epidemiology*