Literature DB >> 23523893

The influence of anger, impulsivity, sensation seeking and driver attitudes on risky driving behaviour among post-graduate university students in Durban, South Africa.

Shaneel Bachoo1, Anil Bhagwanjee, Kaymarlin Govender.   

Abstract

INTRODUCTION: Road traffic accidents (RTAs) constitute a serious global health risk, and evidence suggests that young drivers are significantly overrepresented among those injured or killed in RTAs. This study explores the role of anger, impulsivity, sensation seeking and driver attitudes as correlates for risky driving practices among drivers, drawing comparisons between age and gender.
METHOD: The study used a cross-sectional survey design, with a sample of 306 post-graduate university students from two universities in Durban, South Africa, who completed the self-administered questionnaire.
RESULTS: The results indicate that drivers with higher driver anger, sensation seeking, urgency, and with a lack of premeditation and perseverance in daily activities were statistically more likely to report riskier driving acts. Males reported significantly more acts of risky driving behaviour (RDB) than females. Driver attitudes significantly predicted self-reported acts of RDB on most indicators. Older drivers (25 years and older) had safer driver attitudes and a lower sense of sensation seeking and urgency in life.
CONCLUSION: Interventions targeting young drivers, which focus on impeding the manifestation of anger, impulsivity and sensation seeking are recommended. Also, the empirical support for the attitude-behaviour hypothesis evidenced in this study vindicates the development or continuation of interventions that focus on this dynamic.
Copyright © 2013 Elsevier Ltd. All rights reserved.

Mesh:

Year:  2013        PMID: 23523893     DOI: 10.1016/j.aap.2013.02.021

Source DB:  PubMed          Journal:  Accid Anal Prev        ISSN: 0001-4575


  8 in total

1.  Unique and interactive effects of impulsivity facets on reckless driving and driving under the influence in a high-risk young adult sample.

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2.  Motorcycle Accidents and Their Outcomes amongst Victims Admitted to Health Facilities in Guinea: A Cross-Sectional Study.

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3.  A Machine Learning Framework for Automated Accident Detection Based on Multimodal Sensors in Cars.

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Journal:  Sensors (Basel)       Date:  2022-05-10       Impact factor: 3.847

Review 4.  Determinants of risky driving behavior: a narrative review.

Authors:  Saba Jafarpour; Vafa Rahimi-Movaghar
Journal:  Med J Islam Repub Iran       Date:  2014-12-06

5.  Who actually receives cell phone use while driving citations and how much are these laws enforced among states? A descriptive, cross-sectional study.

Authors:  Toni M Rudisill; Motao Zhu
Journal:  BMJ Open       Date:  2016-06-14       Impact factor: 2.692

6.  Psychosocial factors as predictors of risky driving behavior and accident involvement among drivers in Oromia Region, Ethiopia.

Authors:  Alemu Disassa; Habtamu Kebu
Journal:  Heliyon       Date:  2019-06-14

7.  Exploring the facilitators and barriers to high-risk behaviors among school transportation drivers: a qualitative study.

Authors:  Shadi Fathizadeh; Mahmood Karimy; Mahmoud Tavousi; Fereshteh Zamani-Alavijeh
Journal:  BMC Public Health       Date:  2022-06-23       Impact factor: 4.135

8.  Cultural capital and high risk behaviors among youth.

Authors:  Golnar Dehghan Dehnavi; Mehraban Parsamehr; Samaneh Naseri
Journal:  Int J High Risk Behav Addict       Date:  2014-03-10
  8 in total

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