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Senserrick T, Möller H, Boufous S, Stevenson M, Williamson A, Patton G, McLean R, Chen HY, Cullen P, Woodward M, Ivers R. Learning With a Supervisor Who has Traffic Offences and Young Driver Crashes: The DRIVE Study 13-Year Follow-Up. J Adolesc Health 2023; 73:859-865. [PMID: 37642621 DOI: 10.1016/j.jadohealth.2023.06.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/11/2022] [Revised: 06/20/2023] [Accepted: 06/23/2023] [Indexed: 08/31/2023]
Abstract
PURPOSE Young learner drivers commonly must record substantial supervised practice driving before independent licensure. Supervisory driver requirements can be limited or highly regulated, yet research is lacking on the effectiveness of different approaches. The current objective was to explore whether young drivers who were mostly supervised by someone who they perceived had traffic offences versus no offences had different crash records over a period of 13 years postlicensing. METHODS DRIVE is an Australian prospective cohort study of more than 20,000 drivers who were aged 17-24 years and newly licensed during 2003-2004. They completed detailed baseline questionnaires, including whether the person they identified as supervising their learner driving the most had perceived traffic offences in the past 12 months. Responses were linked to their state crash, hospitalization, and death records to 2016. A parametric survival model was created to calculate hazard ratios of time to crash for those reporting that their supervisor had 0 versus 1 and 0 versus 2+ perceived offences, adjusting for the participants' prior crash history and other covariates. RESULTS After adjusting for covariates, 369 participants reporting supervisory drivers with 2+ perceived offences, compared to 15,451 participants reporting no such offences, had up to 1.67 (95% confidence interval 1.10-2.53 at 6 months) times the rate of any crash for the first 2.5 years and up to 2.01 (95% confidence interval 1.26-3.19 at 3.5 years) times the rate of crashes resulting in injury for 5.5 years. DISCUSSION Although overall supervision by a driver with two or more perceived offences was low, further attention is needed to ensure improved supervised driving experiences, with mentoring programs and professional instructor partnerships worthy of exploration.
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Affiliation(s)
- Teresa Senserrick
- Western Australian Centre for Road Safety Research, School of Psychological Science, The University of Western Australia, Western Australia, Australia; Centre for Accident Research and Road Safety - Queensland, School of Psychology and Counselling, Queensland University of Technology (QUT), Kelvin Grove, Queensland, Australia.
| | - Holger Möller
- School of Population Health, The University of New South Wales (UNSW Sydney), Kensington, New South Wales, Australia; The George Institute for Global Health, The University of New South Wales (UNSW Sydney), Kensington, New South Wales, Australia
| | - Soufiane Boufous
- Transport and Road Safety Research, School of Aviation, The University of New South Wales (UNSW Sydney), Kensington, New South Wales, Australia
| | - Mark Stevenson
- Transport Health and Urban Design Research Lab, Melbourne School of Design, The University of Melbourne, Parkville, Victoria, Australia; Faculty of Engineering and Information Technology, The University of Melbourne, Parkville, Victoria, Australia
| | - Ann Williamson
- Transport and Road Safety Research, School of Aviation, The University of New South Wales (UNSW Sydney), Kensington, New South Wales, Australia
| | - George Patton
- Centre for Adolescent Development, The Royal Children's Hospital, Murdoch Children's Research Institute and Department of Paediatrics, The University of Melbourne, Parkville, Australia
| | - Rebecca McLean
- Department of Population Health, University of Otago, Christchurch, New Zealand
| | - Huei-Yang Chen
- Evidence, Agency for Clinical Innovation, St Leonards, New South Wales, Australia
| | - Patricia Cullen
- School of Population Health, The University of New South Wales (UNSW Sydney), Kensington, New South Wales, Australia; The George Institute for Global Health, The University of New South Wales (UNSW Sydney), Kensington, New South Wales, Australia; Ngarruwan Ngadju: First Peoples Health and Wellbeing Research Centre, School of Medical, Indigenous and Health Sciences, University of Wollongong, Wollongong, New South Wales, Australia
| | - Mark Woodward
- The George Institute for Global Health, School of Public Health, Imperial College London, London, United Kingdom
| | - Rebecca Ivers
- School of Population Health, The University of New South Wales (UNSW Sydney), Kensington, New South Wales, Australia; The George Institute for Global Health, The University of New South Wales (UNSW Sydney), Kensington, New South Wales, Australia
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Dimensions of aberrant driving behaviors and their association with road traffic injuries among drivers. PLoS One 2020; 15:e0238728. [PMID: 32903278 PMCID: PMC7486081 DOI: 10.1371/journal.pone.0238728] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2020] [Accepted: 08/21/2020] [Indexed: 11/19/2022] Open
Abstract
Objective Road traffic injuries (RTIs) are recognized as one of the most important causes of morbidity and mortality throughout the world, especially in developing countries. Human behavior is reportedly one of the critical factors in the occurrence of such injuries. The purpose of this study is to evaluate the correlation of abnormal driving behaviors with the frequency and severity of RTIs among drivers in Hamadan, west of Iran. Methods The present cross-sectional study was conducted on 800 people driving, who were selected by multistage cluster sampling technique. Data were collected using a three-part self-administered questionnaire including demographic, social and driving characteristics; the Manchester driver behavior questionnaire (DBQ); as well as information on a history of the occurrence of the injuries caused by the crashes and the severity of them. Data were statistically analyzed using numerical indices, linear regression analysis, Pearson correlation, ordinal logistic regression model and multinomial logistic regression. Results The highest and lowest mean percentages of abnormal driving behavior were related to unintentional violations (19.13) and Lapses (16.44), respectively. "Changing radio stations and listening to music while driving", "overtaking a driver who drives slowly", and "unintentionally exceeding the speed limit" were the three highest behaviors associated with road traffic injuries, with the mean and standard deviation of (1.93 ± 1.4), (1.90±1.4), (1.58±1.3), respectively. Age, gender, educational level, driving experience and driving hours during the day were significantly associated with DBQ dimensions and severity of road traffic injuries. Conclusions The results of this study showed that socio-demographic characteristics were significantly correlated with driving behavior. In addition, driving behaviors were correlated with traffic crashes and the resulting injuries. The findings of this study can be utilized to develop driving behavior interventions among the drivers.
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Padilla JL, Castro C, Doncel P, Taubman-Ben-Ari O. Adaptation of the multidimensional driving styles inventory for Spanish drivers: Convergent and predictive validity evidence for detecting safe and unsafe driving styles. ACCIDENT; ANALYSIS AND PREVENTION 2020; 136:105413. [PMID: 31901488 DOI: 10.1016/j.aap.2019.105413] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/11/2019] [Revised: 12/01/2019] [Accepted: 12/23/2019] [Indexed: 06/10/2023]
Abstract
The Multidimensional Driving Style Inventory (MDSI; Taubman - Ben-Ari et al., 2004) is a well-known and useful instrument that allows us to identify not only "maladaptive" Driving Styles (DS) in order to modify them, but also "adaptive" DS to encourage safe driving. The aim of this study was to adapt the MDSI to the Spanish spoken in Spain and to the rules and driving habits of Spaniards. The Argentinian version of the MDSI was taken as the source version. The sample consisted of 1173 drivers, who completed the Spanish version of the MDSI. The factor structure was analysed by means of an Exploratory Factor Analysis (AFE) and a Confirmatory Factor Analysis (AFC). The 6-factor structure of the Argentinian version of the MDSI was replicated with higher internal consistency values for each of the DS. The original Argentinian and the Spanish versions share 23 items, indicating a relevant overlap in the construct. A cluster analysis grouped the DS into two groups: maladaptive and adaptive. Significant associations were found between DS measures and demographic variables (gender, age, and education level), driving history and theoretically related constructs like the Domain-Specific Risk-Taking Scale (DOSPERT); Lapses, Errors, Violations; Angry Driving; and Sensitivity to Rewards. The Spanish MDSI provides valid measures that could help us understand complex driving behaviours and promote safe driving.
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Affiliation(s)
- Jose-Luis Padilla
- Facultad de Psicología, CIMCYC, Mind, Brain & Behaviour Research Centre, Universidad de Granada. Campus Cartuja, s/n 18071, Granada. Spain
| | - Candida Castro
- Facultad de Psicología, CIMCYC, Mind, Brain & Behaviour Research Centre, Universidad de Granada. Campus Cartuja, s/n 18071, Granada. Spain.
| | - Pablo Doncel
- Facultad de Psicología, CIMCYC, Mind, Brain & Behaviour Research Centre, Universidad de Granada. Campus Cartuja, s/n 18071, Granada. Spain
| | - Orit Taubman-Ben-Ari
- The Louis and Gabi Weisfeld School of Social Work, Bar-Ilan University, Ramat-Gan, 52900, Israel
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