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Asia Pac J Public Health ; 24(1): 91-103, 2012 Jan.
Artigo em Inglês | MEDLINE | ID: mdl-20685667

RESUMO

Little is known about the nature and scope of aggressive driving in developing countries. The objective of this study is to specifically examine the sociodemographic factors associated with aggressive driving behavior among 3-wheeler taxi drivers in Sri Lanka. Convenience samples of 3-wheeler taxi drivers from Rathnapura, Ahaliyagoda, Sri Lanka were surveyed from June to August 2006. Analyses included bivariate and multivariate logistic regression. Drivers with less than high school education were 3.5 times more likely to drive aggressively (odds ratio [OR] = 3.46; 95% confidence interval [CI] = 1.08, 11.1). Single drivers were 9 times more likely to run red lights (OR = 8.74; 95% CI = 2.18, 35.0), and being single was a major risk factor for drunk driving (OR = 4.80; 95% CI = 1.23, 18.7). Furthermore, high school completers were 4 times more likely to bribe a policeman (OR = 4.27; 95% CI = 1.23, 14.9) when caught violating the road rules. Aggressive driving and risk-taking behavior are amenable to policy initiatives, and preventive programs targeted at key groups could be used to improve road safety in Sri Lanka. This study demonstrates that aggressive driving behavior is associated with sociodemographic factors, including the level of education, marital status, and other socioeconomic factors. Hence, economic factors should be addressed to find solutions to traffic-related issues. It will be the government's and policy makers' responsibility to try and understand the economic factors behind risky road behavior and bribe-taking behavior prior to legislating or enforcing new laws.


Assuntos
Agressão , Condução de Veículo/psicologia , Automóveis/estatística & dados numéricos , Assunção de Riscos , Pessoa Solteira/psicologia , Acidentes de Trânsito/estatística & dados numéricos , Adolescente , Adulto , Intoxicação Alcoólica/psicologia , Escolaridade , Humanos , Aplicação da Lei/ética , Estado Civil/estatística & dados numéricos , Pessoa de Meia-Idade , Fatores de Risco , Fatores Socioeconômicos , Sri Lanka , Adulto Jovem
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