Our findings showed that Laughter Yoga is at least as effective as group exercise program in improvement of depression and life satisfaction of elderly depressed women.

Based on our results, there is a direct and meaningful relationship between the independent variables of this study and the quality of life. Therefore, in order to improve the quality of life in menopausal women, one or all of these variables needs to be improved.

We describe psychological determinants of erectile dysfunction (ED) among middle-aged men with no identifiable medical risk factors and compare them with a sample of young individuals. Two groups of young (⩽ 30 years, n = 59) and middle-aged men (⩾ 40 years, n = 63) who scored ⩽ 25 on the erectile functioning domain of the International Index of Erectile Functioning were enrolled. Patients were included if they had no metabolic diseases, prostate problems or external genitalia abnormalities. Patients were not included if they were smokers, excessive drinkers or took medications known to cause ED. To assess psychopathology, symptom check list 90-revised (SCL-90-R) was administered. Structural equation modeling was performed to assess the relationship between psychopathology and ED. One in five men had severe ED, and the proportion was not different between the two groups. Middle-aged men had lower scores on different SCL-90-R domains. In both age groups, somatization and interpersonal sensitivity contributed to ED. Among younger individuals, anxiety and psychosis-related domains were also associated with ED. Unique contributors to ED in middle-aged men were depression and additional questions. In conclusion, among middle-aged men, psychological factors significantly contribute to ED when no medical risk factors are present. The pattern and composition of distress depicts distinct features, not seen in young age.

BackgroundIn Iran, traffic accidents and deaths from traffic accidents are among the highest in the world, and generally, driver behavior rather than technical failures or environmental conditions are responsible for traffic accidents. In a previous study, we showed that among young Iranian male traffic offenders, poor mental health status, along with aggression, predicted poor driving behavior. The aims of the present study were twofold, to determine whether this pattern could be replicated among non-traffic offenders, and to compare the mental health status, aggression, and driving behavior of male traffic offenders and non-offenders.MethodsA total of 850 male drivers (mean age =34.25 years, standard deviation =10.44) from Kermanshah (Iran) took part in the study. Of these, 443 were offenders (52.1%) and 407 (47.9%) were non-offenders with lowest driving penalty scores applying for attaining an international driving license. Participants completed a questionnaire booklet covering socio-demographic variables, traits of aggression, health status, and driving behavior.ResultsCompared to non-offenders, offenders reported higher aggression, poorer mental health status, and worse driving behavior. Among non-offenders, multiple regression indicated that poor health status, but not aggression, independently predicted poor driving behavior.ConclusionCompared to non-offenders, offenders reported higher aggression, poorer health status and driving behavior. Further, the predictive power of poorer mental health status, but not aggression, for driving behavior was replicated for male non-offenders.

BackgroundIn Iran, traffic accidents and deaths from traffic accidents are among the highest in the world, and generally driver behavior rather than either technical failures or environmental conditions are responsible for traffic accidents. In the present study, we explored the extent to which aggressive traits, health status, and sociodemographic variables explain driving behavior among Iranian male traffic offenders.MethodA total of 443 male driving offenders (mean age: M =31.40 years, standard deviation =9.56) from Kermanshah (Iran) took part in the study. Participants completed a questionnaire booklet covering sociodemographic variables, traits of aggression, health status, and driving behavior.ResultsPoor health status, such as symptoms of depression, anxiety, insomnia, and social dysfunction, and also higher levels of trait aggression explained poor driving behavior. Multiple regressions indicated that poor health status, but not aggression, independently predicted poor driving behavior.ConclusionResults suggest that health status concerns are associated with poor driving behavior. Prevention and intervention might therefore focus on drivers reporting poor mental health status.