The joint effect of noise exposure and job complexity on distress and injury risk among men and women: the cardiovascular occupational risk factors determination in Israel study.
We sought to explore the possibility that exposure to noise at work might interact with job complexity and gender to affect the incidence of occupational injury among industrial employees. In this study, we examined 4084 men and 1643 women from 21 industrial plants while controlling for a number of potent confounding variables, among them active safety hazards. Logistic regression results showed that the predictor variables interacted and that the highest injury risk (odds ratio = 2.72) was observed in women in high noise and high job complexity, compared with the referents scoring low on these predictors. The comparable injury risk in men was only 1.3. Parallel results were observed for three noise stress indicators: workload, noise annoyance and postwork irritability. We conclude that the joint exposure to noise and high job complexity is disruptive, resulting in higher distress and occupational injury risk, particularly among women.
Melamed
Samuel
S
Department of Occupational Health Psychology, National Institute of Occupational Environmental Health, Raanana, Israel. melameds@ioh.org.il
Fried
Yitzhak
Y
Froom
Paul
P
D000062:Accidents, Occupational / Q000706:statistics & numerical data*; D000328:Adult; D017677:Age Distribution; D000368:Aged; D002318:Cardiovascular Diseases / Q000453:epidemiology*; D016001:Confidence Intervals; D003430:Cross-Sectional Studies; D004644:Emotions; D004784:Environmental Monitoring / Q000706:statistics & numerical data; D062665:Epidemiological Monitoring; D005260:Female; D006801:Humans; D015994:Incidence; D007557:Israel / Q000453:epidemiology; D016015:Logistic Models; D008137:Longitudinal Studies; D008297:Male; D008875:Middle Aged; D015999:Multivariate Analysis; D009623:Noise, Occupational / Q000706:statistics & numerical data*; D009784:Occupational Diseases / Q000453:epidemiology*; D016273:Occupational Exposure / Q000032:analysis / Q000706:statistics & numerical data; D016272:Occupational Health; D011336:Probability; D012307:Risk Factors; D012720:Severity of Illness Index; D017678:Sex Distribution; D013315:Stress, Psychological; D016526:Workload