Psychosocial determinants of road traffic offences in a sample of Spanish male prison inmates |
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| Affiliation: | 1. Department of Transportation Planning and Enginnering, NTUA, 5 Heroon Polytechniou str., GR-15773, Athens, Greece;2. 2nd Department of Neurology, “Attikon” University General Hospital, UoA, 75 Mikras Asias str., GR-11527, Athens, Greece;1. Department of Neurology, Alpert Medical School of Brown University, Providence, RI, USA;2. Department of Neurology, Rhode Island Hospital, Providence, RI, USA;3. Department of Psychiatry and Human Behavior, Rhode Island Hospital, Providence, RI, USA;4. Department of Diagnostic Imaging, Rhode Island Hospital, Providence, RI, USA;5. Department of Neurology, Knight Alzheimer''s Disease Research Center, Washington University School of Medicine, St. Louis, MO, USA;6. Department of Medicine and Neurology, Washington University School of Medicine, St. Louis, MO, USA;7. Department of Medicine, Washington University School of Medicine, St. Louis, MO, USA;1. Beijing Key Laboratory of Traffic Engineering, Beijing University of Technology, Beijing 100124, China;2. Transport Planning and Research Institute, Ministry of Transport, Beijing 100028,China;3. Texas Department of Transportation, 10016 Liriope Cove, Austin, TX 78750-2636, USA;1. University of Michigan, USA;2. University of St Andrews, UK |
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| Abstract: | ObjectiveThere is very little information available about the characteristics of drivers convicted for traffic offences. The objective of this study was to perform a comparative analysis of the psychosocial characteristics of Spanish prison inmates convicted of road traffic offences (CRTOs), drivers serving a prison sentence for other types of offence (DCOOs), and drivers with no criminal record (DNCRs), in order to identify the psychosocial predictors associated with RTOs.MethodsThe study sample comprised 434 male participants divided into three groups: CRTO (n = 240); DCOO (n = 85); and DNCR (n = 105). Instruments included an interview on sociodemographic data, driving behaviour, and past offences, as well as a set of tests to evaluate personality traits (ZKPQ-50CC), driving-related aspects (MDSI-S and DAS), and alcohol dependence (AUDIT).ResultsA logistic regression analysis showed the following to be reliable predictors of RTOs: low education level (p < .05); having been involved in several road traffic accidents (p < .001); having received several fines (p < .001); a high score on the MDSI-S Risky subscale (p < .05); a low score on the MDSI-S Careful subscale (p < .05); AUDIT scores > 8 (p < .05), and repeatedly driving whilst under the influence of alcohol (p < .05).ConclusionsThe results obtained have significant practical implications for designing and implementing traffic offenders programmes. |
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| Keywords: | Prison Crime Road safety Road traffic accident Personality traits |
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