Background The relationship between a composite measure of insomnia and occupational or fatal accidents has been investigated previously; however, little is known regarding the effect of various insomnia symptoms on minor non-fatal accidents during work and leisure time. Objective We investigated the predicting role of insomnia symptoms on minor non-fatal accidents during work and leisure time. Methods Data from the 2005 Taiwan Social Development Trend Survey of 36,473 Taiwanese aged ≥18 years were analyzed in 2013. Insomnia symptoms, including difficulty in initiating sleep (DIS), difficulty in maintaining sleep (DMS), early morning awakening (EMA), and nonrestorative sleep (NRS) were investigated. A minor non-fatal accident was defined as any mishap such as forgetting to turn off the gas or faucets, accidental falls, and abrasions or cuts occurring during work and leisure time in the past month that do not require immediate medical attention. Multivariable logistic regression was performed to assess the odds ratios (ORs) and associated 95% confidence interval (CI) of minor non-fatal accidents (as a binary variable) for each insomnia symptom compared with those of people presenting no symptoms, while controlling for possible confounders. Results EMA and NRS increased the odds of minor non-fatal accidents occurring during work and leisure time (adjusted OR = 1.19, 95% CI = 1.08-1.32 and adjusted OR = 1.27, 95% CI = 1.17-1.37, respectively). Conclusion EMA and NRS are two symptoms that are significantly associated with an increased likelihood of minor non-fatal accidents during work and leisure time after adjusting for of a range of covariates.
ASJC Scopus subject areas
- Public Health, Environmental and Occupational Health
- Safety, Risk, Reliability and Quality
- Human Factors and Ergonomics
Chiu, H-Y., Wang, M. Y., Chang, C-K., Chen, C-M., Chou, K-R., Tsai, J. C., & Tsai, P-S. (2014). Early morning awakening and nonrestorative sleep are associated with increased minor non-fatal accidents during work and leisure time. Accident Analysis and Prevention, 71, 10-14. https://doi.org/10.1016/j.aap.2014.05.002