Sa Motevalian, H Gharibnavaz, M Asadi Lari , Sh Seraji,
Volume 14, Issue 3 (12-2018)
Abstract
Background and Objectives: Accidents are one of the global concerns in public health. About 1.24 million people die in traffic accidents annually. Road accidents are the leading cause of years of life lost in Iran and motorcyclists are the riskiest group of road users. Drug abuse is one of the main causes of road traffic accidents and motorcycling is more popular in drug abusers. So, this study was conducted to compare the riding behavior of normal and drug abuser motorcyclists.
Methods: This historical cohort was performed in 411 motorcyclists in 3 study groups: 100 methadone consumer motorcyclists, 100 methamphetamine consumer motorcyclists, and 211 normal motorcyclists. The participants in three groups were matched for age and area of residence. A motorcycle riding behavior questionnaire was used to collect the data. Then, the collected data were analyzed with the SPSS (V-20) software using descriptive and analytic statistics. Multivariate linear regression was applied for statistical analysis.
Results: There was a significant difference in the riding behavior score between normal motorcyclists and methamphetamine user and methadone user motorcyclists (P<0.0001), but the difference between drug user motorcyclists was not significant (P=0.292). The most frequent violation in all three groups was speeding.
Conclusion: the results showed speeding was the most frequent violation in all three groups followed by traffic errors. It was found that drug abuse (methamphetamine and methadone) could have an impact on motorcyclists’ riding behaviors as it could increase the riding behavior score in drug user motorcyclists compared to normal motorcyclists.
Sh Hasanzadeh, H Sadeghi Bazargani , M Hashemiparast, M Asghari Jafarabadi ,
Volume 15, Issue 4 (1-2020)
Abstract
Background and Objectives: The aim of this study was to determine the predictability of the PLS-SEM model for injuries resulting in hospitalization in motorcyclists using a mediator variable in a case-control study.
Methods: In this case-control study, 300 cases and 156 controls were randomly selected from 150 clusters using random cluster sampling. The data were collected using the motorcycle riding behavior (MRB) questionnaire, adult attention deficit hyperactivity disorder (ADHD) questionnaire (subscales) and a checklist containing motorcycle related variables.
Results: The motorcycle riding behavior, adult ADHD, motorcycling related variables and some demographic variables were found to be the predictors of injury. There were significant positive relationships between injury and motorcycling related variables (B=0.20, P=0.001) and ADHD (B=0.33, P=0.001), between MRB and motorcycling related variables (B=0.51, P=0.001) and ADHD (B=0.52, P=0.001), and between ADHD and motorcycling related variables (B=0.39, P=0.001).
Conclusion: Considering the more accurate results of PLS-SEM, the intervention programs should especially address those who have hyperactive children, those who use the cellphone while riding, and those who ride in dark hours of the night.
