A Generalized Structural Equation Model Approach to Long Working Hours and Near-Misses among Healthcare Professionals in Japan

Tatsuhiko Anzai, Takashi Yamauchi, Masaki Ozawa and Kunihiko Takahashi
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Tatsuhiko Anzai: Department of Biostatistics, M&D Data Science Center, Tokyo Medical and Dental University, Tokyo 113-8510, Japan
Takashi Yamauchi: Department of Public Health and Environmental Medicine, The Jikei University School of Medicine, Tokyo 105-8461, Japan
Masaki Ozawa: School of Medicine, Tokyo Medical and Dental University, Tokyo 113-8510, Japan
Kunihiko Takahashi: Department of Biostatistics, M&D Data Science Center, Tokyo Medical and Dental University, Tokyo 113-8510, Japan

IJERPH, 2021, vol. 18, issue 13, 1-11

Abstract: (1) Background: Near-miss incidents are the foundation of major injuries. They are warning signs that loss is imminent. Long working hours are a risk factor for near-misses along with sleep problems, job-related stress, and depressive symptoms. This study aimed to evaluate the indirect effects of long working hours via mediating variables on near-miss occurrences among Japanese healthcare professionals. (2) Methods: 1490 Japanese healthcare professionals’ reports from a web-based survey of workers in October 2018 were analyzed to evaluate total, direct, and indirect effects of long working hours on near-misses. We applied a generalized structural equation model with three mediating variables: sleep problems, job-related stress, and depressive symptoms. (3) Results: The total effect and direct effect of the categories of working hours longer than 41 h per week (h/w) for occurrence of near-misses were not significantly higher than that of 35–40 h/w. However, for indirect effects on occurrence of near-misses that first passed through job-related stress, there were higher reports for each category compared to 35–40 h/w, with odds ratios (OR) and 95% confidence intervals (95% CI) of OR = 1.12, 95% CI (1.07, 1.21) for 41–50 h/w; 1.25, (1.14, 1.41) for 51–60 h/w; and 1.31, (1.18, 1.51) for ? 61 h/w. (4) Conclusion: The results suggest that reducing working hours might improve job-related stress, which could reduce near-misses and prevent injuries.

Keywords: near-miss; generalized structural equation model; healthcare professional; indirect effect (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2021
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