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Prevalence and risk factors of alcohol and substance abuse among motorcycle drivers in Fars province, Iran

PURPOSE: The aim of this present study is to investigate the prevalence of alcohol and substance abuse (ASA) and its relationship with other risky driving behaviors among motorcycle drivers. METHODS: This is a cross sectional study which is performed at Shiraz city of Iran. Data from motorcycle driv...

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Detalles Bibliográficos
Autores principales: Heydari, Seyed Taghi, Vossoughi, Mehrdad, Akbarzadeh, Armin, Lankarani, Kamran B., Sarikhani, Yaser, Javanmardi, Kazem, Akbary, Ali, Akbari, Maryam, Mahmoodi, Mojtaba, Shirazi, Mohammad Khabaz, Tabrizi, Reza
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4897829/
https://www.ncbi.nlm.nih.gov/pubmed/27140214
http://dx.doi.org/10.1016/j.cjtee.2015.12.006
Descripción
Sumario:PURPOSE: The aim of this present study is to investigate the prevalence of alcohol and substance abuse (ASA) and its relationship with other risky driving behaviors among motorcycle drivers. METHODS: This is a cross sectional study which is performed at Shiraz city of Iran. Data from motorcycle drivers were collected using a standard questionnaire in eight major streets at different times of the day. The data includes consumption of alcohol and other substances two hours before driving and some of the risky behaviors during driving. RESULTS: A total of 414 drivers with a mean ± SD age of (27.0 ± 9.3) years participated in the study. Alcohol or substance consumptions two hours before driving was significantly associated with risky driving behaviors such as using mobile phone during driving, poor maneuvering, and driving over the speed limit (both p < 0.001). It was also associated with carelessness about safety such as driving with technical defects (p < 0.001) and not wearing a crash helmet (p = 0.008). CONCLUSION: Screening for alcohol and substance consumption among motorcycle drivers is an efficient way to identify drivers that are at a greater risk for road traffic accidents.