Purpose: Overtime work is associated with a risk of developing various diseases, including oral diseases. Oral Health-Related Quality of Life (OHRQoL) is a more comprehensive assessment than those of individual diseases and can be affected by longer working hours.
Methods: This cross-sectional study examined the association of overtime work duration with OHRQoL. Data were obtained from an online survey of Japanese workers in February 2016. OHRQoL was assessed using the Oral Health Impact Profile-49 (OHIP-49). Poisson regression with robust variance was used to estimate the ratio of means and 95% confidence intervals (CI) of overtime work duration for OHIP-49 scores after adjusting for sociodemographic and health behavior covariates.
Results: Of 2,764 (2,178 male and 586 female) workers (mean age, 44.6 ± 10.0 years), those with longer duration of overtime work tended to exhibit poorer OHRQoL. The mean OHIP-49 scores of those who did not work overtime and worked for ≥5 h overtime were 27.93 ± 28.53 and 40.97 ± 38.86, respectively. After adjusting for covariates, compared to those who did not work overtime, the mean OHIP-49 score was 1.41 times higher (95% CI 1.38-1.44) for those who worked for ≥5 h overtime.
Conclusion: Longer overtime work duration was associated with poor OHRQoL.
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http://dx.doi.org/10.2334/josnusd.22-0267 | DOI Listing |
BMC Nurs
January 2025
School of Nursing and Midwifery, Kermanshah University of Medical Sciences, Kermanshah, Iran.
Background: Emergency departments (ED) are characterized by highly dynamic environments. This study aimed to identify determinants of resilience and mental stress among ED nurses.
Methods: A cross-sectional, analytical design was employed to assess 316 emergency nurses in Kermanshah hospitals using a convenience sampling method.
Sleep Health
January 2025
The Institute for Occupational Health, Yonsei University College of Medicine, Seoul, South Korea; Department of Preventive Medicine, Yonsei University College of Medicine, Seoul, South Korea. Electronic address:
Objectives: Long work hours and weekend work can negatively impact worker sleep; however, gender differences in these relationships have not been sufficiently studied. We explored the association between long work hours, weekend work, and insomnia symptoms, as well as the moderating effect of gender on this association.
Methods: A nationwide sample of 42,476 Korean workers (52.
Nurs Crit Care
January 2025
Faculty of Health Sciences, Department of Nursing/Psychiatric Nursing, Gümüşhane University, Samsun, Turkey.
Background: Nurses working in intensive care units experience insomnia and accompanying psychosocial problems due to working conditions.
Aim: This study explores with a phenomenological approach the psychosocial problems experienced by intensive care nurses regarding sleep patterns within the scope of working conditions.
Study Design: In this phenomenological study, semi-structured in-depth interviews were conducted with 16 nurses working in the surgical intensive care unit of a state hospital in Türkiye.
Maturitas
December 2024
The Institute for Occupational Health, Yonsei University College of Medicine, Seoul, Republic of Korea; Department of Preventive Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea. Electronic address:
Background: Korean society is projected to undergo a rapid aging of its workforce. We explored gender differences in the association between working hours and the onset of depressive symptoms among middle-aged and older workers.
Study Design: This study included workers aged ≥45 years from a nationwide panel study with biennial follow-ups (n = 4941, observations = 18,531).
Nicotine Tob Res
December 2024
School of Public Health, Peking University, Beijing 100191, China.
Introduction: To describe the prevalence of smoking among Chinese women in the workforce and to investigate its potential associated factors from a multi-level perspective.
Methods: The study was based on data collected from the "Asia Best Workplace" program in 2021. We obtained a sample of 6,260 women in the workforce and collected the data using a self-administered questionnaire, including occupational characteristics, utilization of workplace health services, and mental health status.
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