Abstract

Background: The human factors are of great importance, especially Motorcycle Rider Behavior Questionnaire (MRBQ) and attention deficit hyperactivity disorder (ADHD) in motorbike riders in road traffic injuries. This study aimed to predict MRBQ score by ADHD score and the underlying predictors by the logistic quantile regression (LQR), as a new strategy.Methods: In this cross-sectional study, 311 motorbike riders were randomly sampled by a clustering method in Bukan, northwest of Iran. The data were collected by MRBQ and ADHD standard surveys. To assess the relationship at all levels of MRBQ distribution, LQR in 5th, 25th, 50th, 75th and 95th quantiles of MRBQ score was utilized to assess the predictability of ADHDscore and its subscales in addition to the underlying predictors of MRBQ score. To do this, an unadjusted and as well as adjusted 4-step hierarchical modeling was used.Results: Almost in all quantiles of MRBQ scores, direct and significant relationships were observed between MRBQ score and ADHD score and its subscales (coefficients: 0.02 to 0.10, all P < 0.05). Besides, the driving period (coefficients: -0.58 to -0.95, P < 0.05) and hour driving (coefficients: 0.42 to 0.52, P < 0.05) also came to be the significant predictors of MRBQ score.Conclusion: ADHD score and driving parameters can be taken into the consideration when planning actions on the motorcycle rider behaviors at all levels of the MRBQ.

Highlights

  • Road traffic injury is a global problem

  • As well; the accidents are the ninth causes of mortalities in the world and the first cause of mortalities among youth aged 15 to 29.2 It is predicted that the accidents would be the seventh cause of mortality in 2030.3 According to the World Health Organization (WHO) reports, the mortality rate of traffic accidents is higher than Iran in only 4 countries

  • Regarding the Motorcycle Rider Behavior Questionnaire (MRBQ) prediction by attention deficit hyperactivity disorder (ADHD) and the other underlying factors, the findings showed that in univariate modeling decrease in age, income and driving days were related to increasing in MRBQ while increasing in ADHD and its subscales and driving hours were related to increasing in MRBQ

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Summary

Introduction

Road traffic injury is a global problem. The human factors are of great importance, especially Motorcycle Rider Behavior Questionnaire (MRBQ) and attention deficit hyperactivity disorder (ADHD) in motorbike riders in road traffic injuries. This study aimed to predict MRBQ score by ADHD score and the underlying predictors by the logistic quintile regression (LQR), as a new strategy. To assess the relationship at all levels of MRBQ distribution, LQR in 5th, 25th, 50th, 75th and 95th quantiles of MRBQ score was utilized to assess the predictability of ADHD score and its subscales in addition to the underlying predictors of MRBQ score.

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