Predictive ability of underlying factors of motorcycle rider behavior: an application of logistic quantile regression for bounded outcomes

Health Promotion Perspectives
Masoumeh BabajanpourHomayoun Sadeghi Bazargani

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 p...Continue Reading

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Citations

Feb 13, 2020·International Journal of Injury Control and Safety Promotion·Holman Ospina-MateusFrancisco J Lopez-Valdes
Mar 15, 2018·Sports Medicine·Emanuele D'ArtibaleJohn B Cronin

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