Title |
Poor mental health status and aggression are associated with poor driving behavior among male traffic offenders
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Published in |
Neuropsychiatric Disease and Treatment, August 2015
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DOI | 10.2147/ndt.s88835 |
Pubmed ID | |
Authors |
Nasrin Abdoli, Vahid Farnia, Ali Delavar, Alirez Esmaeili, Fariborz Dortaj, Noorali Farrokhi, Majid Karami, Jalal Shakeri, Edith Holsboer-Trachsler, Serge Brand |
Abstract |
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. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 1 | 33% |
Unknown | 2 | 67% |
Demographic breakdown
Type | Count | As % |
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Practitioners (doctors, other healthcare professionals) | 2 | 67% |
Members of the public | 1 | 33% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 60 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Researcher | 13 | 22% |
Student > Bachelor | 9 | 15% |
Student > Master | 6 | 10% |
Student > Ph. D. Student | 5 | 8% |
Student > Doctoral Student | 4 | 7% |
Other | 8 | 13% |
Unknown | 15 | 25% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 14 | 23% |
Psychology | 12 | 20% |
Social Sciences | 5 | 8% |
Business, Management and Accounting | 3 | 5% |
Computer Science | 2 | 3% |
Other | 7 | 12% |
Unknown | 17 | 28% |