The relationship between Motorcycle Rider Behaviour Questionnaire scores and crashes for riders in Australia

Stephens, Amanda; Brown, Julie; Rome, Liz de; Baldock, Matthew; Fernandes, Rosário; Fitzharris, Michael

doi:10.1016/j.aap.2017.03.007

Cited by 58 publications

(55 citation statements)

References 14 publications

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“…Policymaking. Motorcyclist safety is a major concern but a neglected emerging public health problem in Iran (Abedi et al, 2015a, Babajanpour et al, 2017, Sadeghi-Bazargani et al, 2014, Sadeghi-Bazargani et al, 2019, Safiri et al, 2013 and in many developing countries (Bolbol and Zalat, 2018, De Gruyter et al, 2017, Haque et al, 2010, Stephens et al, 2017, Truong et al, 2018. Although there may be differences because of attitude, awareness, and cultural differences between these countries, since behavioral factors are major contributors to RTAs, likely similar patterns of risky behavior are usually observed among these populations, for example, the majority of riders, as in our study (about 81%), have not professional training and riding license, most of them are youth (like in our study: about 60% under the 28 years old) with more energy, irresponsibility, and tendency to stunt and fun with motorcycle (Bolbol and Zalat, 2018).…”

Section: Discussionmentioning

confidence: 99%

“…MRBQ was first constructed in 2007 by Elliott et al as an appropriate measure for different kinds of behaviors (Elliott et al, 2007(Elliott et al, , Özkan et al, 2012. The MRBQ has been used and validated by other researchers (Stephens et al, 2017, Hosseinpourfeizi et al, 2018, Sakashita et al 2014, Özkan et al, 2006. Cronbach's alpha was calculated to assess the internal consistency reliability (α = 0.89).…”

Section: Methodsmentioning

confidence: 99%

“…Another human factor, which may contribute to crash risk, is the motorcycle rider behavior (MRB), which consist of behaviors that are either intentional (like violations of road and speed regulations and stunts) or unintentional (like errors relating to traffic or control of the motorcycle), along with protective behaviors associated to use of safety equipment (Stephens et al, 2017). Sakashita et al (2014) reported the drink and riding, not wearing a helmet, answering the cell phone, high speed, carrying more than one passengers and road rule offense as the predictors of MRB among the novice riders (Sakashita et al, 2014).…”

mentioning

confidence: 99%

“…The other studies reported the same set of predictors and mainly ADHD (and the subscales) as the determinates of risky riding behavior in Iran (Sadeghi-Bazargani et al, 2015b, Sadeghi-Bazargani et al, 2019, Safiri et al, 2013. MRB may intentionally or unintentionally lead to or prevent RTA (Haque et al, 2010, Stephens et al, 2017, Truong et al, 2018.…”

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confidence: 99%

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Role of ADHD in risky riding behavior: a statistical modeling

et al. 2019

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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 = < 5.0, RMSEA < 0.08, SRMR < 0.05, CFI and TLI > 0.90), wherein ADHD score (and the subscales) predicted the MRB score directly/indirectly (P < 0.05). A simple conceptual model was found to assess the mediating role of ADHD in motorcyclist risky behavior. Based upon the findings, training the techniques of and/or enforcement for controlling and improving riding behaviors and skills among ADHD motorcyclists, those who answer their cell phones while riding, un-experienced riders, and those who ride without wearing the helmet is strongly recommended.

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

mentioning

confidence: 99%

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confidence: 99%

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Role of ADHD in risky riding behavior: a statistical modeling

et al. 2019

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“…These risk behaviors are related to the severity of accidents (11) . Disrespect for traffic laws is an example of adopting risk behavior (12) , as well as the use of alcohol, speeding, cell phone use, non-use of helmets or other personal protective equipment (PPE) (13)(14) .…”

Section: Introductionmentioning

confidence: 99%

Work overload and risk behaviors in motorcyclists

et al. 2019

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Objective: to analyze the association between work overload and risk behaviors adopted by motorcyclists. Method: a cross-sectional study of injured motorcycle drivers hospitalized at the Hospital da Restauração Governador Paulo Guerra in the city of Recife, PE, from May to September 2016. A questionnaire was applied containing sociodemographic variables related to work overload and risk behaviors adoption. Odds Ratio (OR) and 95% Confidence Interval were used to analyze the association between the variables. Results: there was a predominance of males (97.6%), mean age 31.44 years (SD = 9.50). There was an association of sleep/fatigue at the accident time with difficulties carrying out work tasks (OR = 3.7), feeling tired during work (OR = 4.6) and feeling under pressure to carry out work tasks (OR = 3.5). Conclusion: work overload was associated with risk behaviors adoption. It is believed that this fact can have an impact on the occurrence and severity of accidents.

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