A cross-sectional survey of 2,910 active motorcyclists used a modified MRBQ and structural equation modelling. Risk behaviour was positively associated with self-reported crash involvement, while protective behaviour was inversely associated. The authors interpret protection indirectly because equipment usually reduces injury severity rather than crash occurrence. Recall-based associations do not establish causality.
Key findings
- Four risk dimensions loaded on a single higher-order construct; measurement reliability/validity and SEM fit were reported as good. Risk behaviour associated with more crash involvement and protection with less. The abstract gives no effect sizes, preventing assessment of practical magnitude.
Why this matters globally
Motorcyclists bear disproportionate mortality in many middle-income settings. Distinguishing risk and protection may inform age-tailored messaging, training and enforcement, but must not reduce road design, speed and vehicle-system failures to rider blame.
Thai researcher contribution
Rajamangala University of Technology Isan and Suranaree University of Technology developed a large behavioural framework in a transport context where motorcycles are central to mobility.
Limitations to consider
Cross-sectional self-report is vulnerable to recall, desirability and common-method bias. Prior crashes may change later behaviour, creating reverse causality. Protective equipment is not expected to prevent crashes directly, and SEM fit does not prove causal mechanisms or fully control riding exposure.