Among substance-abusing traffic offenders, poor sleep and poor general health predict lower driving skills but not slower reaction times

Traffic accidents are a significant health issue in Iran. Explanations for such accidents have included single consideration of the role of poor sleep and negative psychological trait and state variables. In this study, we examined whether and to what extent sleep, general health, and aggression can concomitantly predict driving behavior.; A total of 360 male traffic offenders (driving under substance use; mean age: 31 years) participated in this study. They completed the questionnaires covering sociodemographic, sleep-related, and behavior-related variables. In addition, their visual and acoustic reaction times were objectively tested.; Poor sleep, poor general health, and higher aggression scores were associated with self-rated poor driving behavior. Poor sleep was directly associated with poor driving behavior and indirectly via poor general health and aggression. In contrast, visual and acoustic reaction times were unrelated to sleep, general health, aggression, or self-rated driving behavior.; To our knowledge, this is the first study in Iran to assess concomitantly poor sleep, poor general health, and higher aggression scores as independent predictors of poor driving behavior among a larger sample of substance-abusing traffic offenders. Furthermore, visual and acoustic reaction times were unrelated to sleep, general health, aggression, and driving behavior. Finally, importantly, poor sleep predicted both directly and indirectly poor driving behavior

Poor mental health status and aggression are associated with poor driving behavior among male traffic offenders

In 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.; A 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.; Poor 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.; Results suggest that health status concerns are associated with poor driving behavior. Prevention and intervention might therefore focus on drivers reporting poor mental health status

Mental health status, aggression, and poor driving distinguish traffic offenders from non-offenders but health status predicts driving behavior in both groups

In 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.; A 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.; Compared 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.; Compared 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

Effects of treatment of sleep disorders on sleep, psychological and cognitive functioning and biomarkers in individuals with HIV/AIDS and under methadone maintenance therapy

Poor sleep is a major complaint of people with human immunodeficiency virus (HIV) and acquired immune deficiency syndrome (AIDS) and undergoing methadone maintenance therapy (MMT). We tested the impact of three different sleep-improving interventions (trazodone; sleep hygiene training; sleep hygiene training + trazodone) on sleep, psychological functioning and biomarkers in males with HIV and undergoing MMT.; A total of 75 male outpatients (mean age: 39.6 years) participated in a 12 week intervention. Participants were randomly assigned to one of the following conditions: trazodone 50 mg/d (TRAZ); sleep hygiene training (SHT); sleep hygiene training and trazodone (SHT + TRAZ). At baseline, and six and 12 weeks later, participants completed questionnaires covering subjective sleep and daytime sleepiness, and symptoms of depression and anxiety. In parallel, their cognitive performance (working memory; sustained attention) was assessed. Biomarkers (cortisol, BNDF, CD4; +; ) were assessed at baseline and at the end of the study.; Over time, sleep disturbances decreased and daytime functioning and overall sleep quality improved. More specifically, both sleep disturbances and daytime functioning improved in the two SHT conditions from baseline to week 6. Daytime functioning remained stable from week 6 to week 12. Over time, in all conditions symptoms of depression and anxiety declined from baseline to week 6 and remained lower from week 6 to week 12. Daytime sleepiness, symptoms of insomnia and sleep-disordered breathing remained unchanged. Sustained attention performance improved over time from baseline to week 6 and remained high through to week 12. Biomarkers remained unchanged.; In males with HIV and undergoing MMT, treating sleep disturbances over a period of six to 12 weeks had a positive impact on aspects of sleep disturbance, symptoms of depression and anxiety, and cognitive performance. The results indicate that sleep hygiene training, either as stand-alone or in combination with trazodone, can produce positive results

Mental health status, aggression, and poor driving distinguish traffic offenders from non-offenders but health status predicts driving behavior in both groups

BACKGROUND: In 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. METHODS: A 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. RESULTS: Compared 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. CONCLUSION: Compared 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

Characteristics and Correlates of Psychiatric Problems in Wives of Men with Substance-related Disorders, Kermanshah, Iran

Objectives: We sought to evaluate the characteristics and correlates of psychiatric problems in the wives of men with substance-related disorders. Methods: Four-hundred and fifty women whose husbands had substance-related disorders were selected by purposive sampling for inclusion in the study. Results: The prevalence of psychiatric symptoms in our sample was 67.1% (n = 302). Depression was the most prevalent symptom (n = 63) and the least was psychosis (n = 5). The prevalence of psychiatric symptoms was highest (26.0%) among women with opiate-dependent spouses (n = 117), and those with hallucinogen-dependent spouses had the lowest prevalence (4.2%). We found a significant relationship between the prevalence of psychiatric disorders and demographic factors including age, women’s education, spouse’s education, women’s job, duration of marriage, number of children, monthly income, and history of psychiatric disorders with the exception of spouses’ jobs. Conclusions: There is a high prevalence of psychiatric symptoms among the wives of men with substance-related disorders and there is need to devise mechanism to reduce the high prevalence of psychiatric disorder

Sources of Sleep Disturbances and Psychological Strain for Hospital Staff Working during the COVID-19 Pandemic

Hospital staff members reported increased stress-related workload when caring for inpatients with COVID-19 (“frontline hospital staff members”). Here, we tested if depression, anxiety, and stress were associated with poor sleep and lower general health, and if social support mediated these associations. Furthermore, we compared current insomnia scores and general health scores with normative data. A total of 321 full-time frontline hospital staff members (mean age: 36.86; 58% females) took part in the study during the COVID-19 pandemic. They completed a series of questionnaires covering demographic and work-related information, symptoms of depression, anxiety, stress, social support, self-efficacy, and symptoms of insomnia and general health. Higher symptoms of depression, anxiety, and stress were associated with higher symptoms of insomnia and lower general health. Higher scores of depression, anxiety, and stress directly predicted higher insomnia scores and lower general health scores, while the indirect effect of social support was modest. Compared to normative data, full-time frontline hospital staff members had a 3.14 higher chance to complain about insomnia and a significantly lower general health. Symptoms of insomnia and general health were unrelated to age, job experience, educational level, and gender. Given this background, it appears that the working context had a lower impact on individuals’ well-being compared to individual characteristics

Mini Mental State Examination (MMSE) in First Episode of Psychosis

"nObjective: Neurocognitive deficits are now recognized as part of the fundamental disturbances and are a major determinant of functional outcome in psychosis. A cross-sectional association between cognitive deficits and poor social and occupational outcomes has been demonstrated; and treatment of cognitive impairment at the time of the first episode may have the potential to change functional outcomes of the illness. We conducted this study to evaluate cognitive function in first episode of psychosis by the Mini Mental State Examination (MMSE). "nMethod: Sixty two patients with first episode of psychosis were selected and underwent psychiatric interview and took MMSE test. Statistical analysis was done using SPSS-18 software. "nResults: According to MMSE scale, 47 patients (75.8%) showed definite cognitive impairment, 8(12.9%) showed possible impairment ,and 7(11.3%) showed no cognitive impairment. According to MMSE subscale, registration (69.4%) and recall (77.3%) were the most impaired cognitive areas.  "nConclusions:  The results of the current study indicate significant cognitive impairment in patients with first episode of psychosis. We recommend future studies with larger sample size and control group for further evaluation of cognitive function as early treatment of cognitive impairments may have important implications in the course of illness