Currently submitted to: JMIR Public Health and Surveillance
Date Submitted: Feb 2, 2026
Open Peer Review Period: Feb 2, 2026 - Mar 30, 2026
(currently open for review)
Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.
Occupational Fatigue and Multidimensional Traffic Risk Outcomes among Motorcycle-Based Food Delivery Workers
ABSTRACT
Background:
Although motorcycle-based food delivery workers face significant risks of accidents, the focus on general traffic accidents has left the multidimensional nature of safety understudied.
Objective:
This study addressed this gap by investigating how occupational fatigue and health behaviors predict the Traffic Accident Risk Index and its subdomains (near-miss experiences, self-rated accident anxiety, and other-rated accident anxiety).
Methods:
Data were collected from 336 South Korean delivery workers via an online survey and analyzed using multiple linear regression.
Results:
Occupational fatigue was positively associated with the overall risk index and all subdomains. Non-use of helmet and insufficient physical activity were associated with higher Traffic Accident Risk Index and self-rated accident anxiety. Current smoking was associated with near-miss experiences. Conversely, shorter break times were associated with lower accident risk and near-misses than breaks exceeding 2 h.
Conclusions:
Occupational fatigue was associated with higher overall accident risk, more near-misses, and greater accident-related anxiety. Modifiable health behaviors showed additional domain-specific associations. Prevention efforts may benefit from combining fatigue management with strategies to improve helmet use, increase physical activity, and support smoking cessation. Future research should refine the measurement of break time and establish evidence-based rest guidance for motorcycle-based delivery workers.
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Copyright
© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.