Role of ADHD in risky riding behavior: a statistical modeling

Homyoun Sadeghi-Bazargani, Aliashraf Seyf Farshad, Zeinab Iraji, Nasrin Some’e, Navide Nikmohammadi, Galavizh Khedrizadeh, Parisa Saeipour, Elham Lotfinezhad and Mohammad Asghari Jafarabadi ()
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Homyoun Sadeghi-Bazargani: Tabriz University of Medical Sciences
Aliashraf Seyf Farshad: Legal Medicine Research Center
Zeinab Iraji: Tabriz University of Medical Sciences
Nasrin Some’e: Tabriz University of Medical Sciences
Navide Nikmohammadi: Tabriz University of Medical Sciences
Galavizh Khedrizadeh: Tabriz University of Medical Sciences
Parisa Saeipour: Tabriz University of Medical Sciences
Elham Lotfinezhad: Tabriz University of Medical Sciences
Mohammad Asghari Jafarabadi: Tabriz University of Medical Sciences

Palgrave Communications, 2019, vol. 5, issue 1, 1-8

Abstract: Abstract Attention Deficiency and Hyperactivity Disorder (ADHD), as a predictor of injuries in motorcyclists, affects the risky behavior. Since there was no pre-established conceptual model, this study aimed at exploring a conceptual model. Following this model, the Structural Equation Modeling (SEM) was utilized to find the predictors of Motorcycle Riding Behavior (MRB), as well as the mediators and moderators of ADHD-MRB relationship. In the current cross-sectional study, 340 motorcyclists in Bukan city, Iran, were recruited through a randomized cluster sampling. A simple conceptual model was explored and utilizing the goodness of fit indices in SEM, an optimal model was chosen. Then, utilizing 3-step hierarchical regressions and SEMs, the relationship between ADHD and MRB was assessed by modeling the possible mediators/moderators such as answering the cell phone and using the helmet. The results of hierarchical regression showed that answering the cell phone had both moderating and mediating effects on the relationship between ADHD (and the ASS subscale) with MRB. The final SEM, by introducing the mediating role of underlying variables, had a good fit on data (Normed Chi2 = 0.90), wherein ADHD score (and the subscales) predicted the MRB score directly/indirectly (P

Date: 2019
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DOI: 10.1057/s41599-019-0337-3

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