Factors antecedent to impaired driving in a Canadian urban sample

This paper explores factors antecedent to impaired driving in a Canadian urban community. Specifically, it attempts to investigate patterns of association between economic, demographic, social, and personal variables, and frequency of impaired driving. Cross-tabular analysis reveals that sex, age, marital status, employment status, occupation, standard of living, degree of loneliness, boredom, and depression are significantly associated with impaired driving. Multiple regression analysis was performed to determine which of the demographic, economic, social, and personal variables are most important in predicting impaired driving. The results indicate that three variables (standard of living satisfaction, frequency of getting together with friends, and gender) are significant predictors of impaired driving.