ArticleJMIR public health and surveillance2026
Occupational Fatigue and Multidimensional Traffic Risk Outcomes Among Motorcycle-Based Food Delivery Workers: Cross-Sectional Study.
Article in JMIR public health and surveillance, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Although motorcycle-based food delivery workers face a significant risk of accidents, previous research has primarily focused on traffic accidents, neglecting the multidimensional nature of safety, which includes perceived accident risk, near-miss experiences, and accident-related anxiety. Objective: This study addresses this gap by investigating how occupational fatigue and health behaviors are associated with the Traffic Accident Risk Index (TARI) and its subdomains (near-miss experiences, self-rated accident anxiety, and other-rated accident anxiety). Methods: A cross-sectional study was conducted. Data were collected from South Korean delivery workers via an online survey and analyzed using multiple linear regression. Results: In total, 336 workers were included in the analysis. Occupational fatigue was positively associated with the overall risk index (B=0.017, 95% CI 0.012 to 0.021; P<.001) and all subdomains, including near-miss experiences (B=0.016, 95% CI 0.011 to 0.021; P<.001), other-rated accident anxiety (B=0.019, 95% CI 0.013 to 0.024; P<.001), and self-rated accident anxiety (B=0.016, 95% CI 0.011 to 0.021; P<.001). Inconsistent helmet use was associated with a higher TARI (B=0.413, 95% CI 0.030 to 0.796; P=.04), other-rated accident anxiety (B=0.495, 95% CI 0.025 to 0.966; P=.04), and self-rated accident anxiety (B=0.493, 95% CI 0.036 to 0.949; P=.04). Insufficient physical activity was associated with a higher TARI (B=0.368, 95% CI 0.016 to 0.719; P=.04) and self-rated accident anxiety (B=0.586, 95% CI 0.168 to 1.005; P=.006). Current smoking was associated with near-miss experiences (B=0.298, 95% CI 0.041 to 0.555; P=.02). Conversely, shorter break times were associated with lower accident risk (30 min to 1 h: B=-0.329, 95% CI -0.650 to -0.007; P=.045) and near-miss experiences (<30 min: B=-0.474, 95% CI -0.936 to -0.011; P=.045; 30 min to 1 h: B=-0.470, 95% CI -0.846 to -0.095; P=.01) than breaks exceeding 2 hours. Conclusions: Occupational fatigue was associated with a higher overall perceived accident risk, more near-miss experiences, 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.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.