SYNOPSISThe main aim of this study was to construct logistic models of emotional distress (defined as a GHQ-30 score of 6 or greater) in a community sample of 226 men and 225 women. The independent variables included were: sociodemographic characteristics, physical health status, social problems and undesirable life events. Univariate comparisons showed that in both sexes undesirable life events and social problems were associated with emotional distress; in men the presence of physical symptoms and widowed, separated or divorced status also showed such an association. Separate logistic regression models for men and women confirmed the importance of undesirable life events and social problems as predictors for emotional distress. In women there was also a significant interaction effect between the two variables on emotional distress. Sociodemographic characteristics and physical health status did not exert a statistically significant effect in these models.
The association of socio-demographic factors and life events with psychotropic drug consumption, alcohol abuse and minor psychiatric morbidity was investigated in a representative community sample of 181 respondents. The statistical model used was a logistic multiple regression analysis. Psychotropic drug use was best predicted by family size and employment status; alcohol abuse by sex, family size and "exit" events; and minor psychiatric morbidity by sex, marital status and undesirable life events.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.