Prevalence and risk factors of alcohol and substance abuse among motorcycle drivers in Fars province, Iran.
- Author:
Seyed Taghi HEYDARI
1
;
Mehrdad VOSSOUGHI
;
Armin AKBARZADEH
;
Kamran B LANKARANI
;
Yaser SARIKHANI
;
Kazem JAVANMARDI
;
Ali AKBARY
;
Maryam AKBARI
;
Mojtaba MAHMOODI
;
Mohammad Khabaz SHIRAZI
;
Reza TABRIZI
Author Information
- Publication Type:Journal Article
- MeSH: Accidents, Traffic; mortality; statistics & numerical data; Adult; Age Distribution; Alcoholism; complications; epidemiology; Chi-Square Distribution; Confidence Intervals; Cross-Sectional Studies; Developing Countries; Humans; Iran; Male; Middle Aged; Motorcycles; statistics & numerical data; Odds Ratio; Prevalence; Risk Factors; Risk-Taking; Substance-Related Disorders; complications; epidemiology; Survival Rate; Urban Population; Young Adult
- From: Chinese Journal of Traumatology 2016;19(2):79-84
- CountryChina
- Language:English
-
Abstract:
PURPOSEThe 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.
METHODSThis 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.
RESULTSA 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).
CONCLUSIONScreening 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.
