Long working hours and sleep problems among public junior high school teachers in Japan

Bannai, Akira; Ukawa, Shigekazu; Tamakoshi, Akiko

doi:10.1539/joh.15-0053-oa

Cited by 29 publications

(28 citation statements)

References 25 publications

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“…This study did not fully explain the relationship and causality between work hours and sleep disorders, but it strengthened the evidence from existing studies in determining that long work hours are associated with sleep disorders [8,22,23]. In addition, each of the 3 detailed causes of sleep disorders was analyzed to identify which aspects of sleep disorders are associated with long work hours.…”

Section: Discussionmentioning

confidence: 63%

Relationship between long work hours and self-reported sleep disorders of non-shift daytime wage workers in South Korea: data from the 5th Korean Working Conditions Survey

Choi

Lee

Jeon

et al. 2020

Ann Occup Environ Med

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Background: Studies have investigated the relationship between long work hours and sleep disorders; however, they have focused on shift workers or specific workers who are at high risk of industrial accidents rather than wage workers in general. The purpose of this study is to investigate the effects of long work hours on sleep disorders among non-shift daytime wage workers. Methods: We conducted a secondary analysis of data from the 5th Korean Working Conditions Survey. From the 50,205 total participants, we included 26,522 non-shift daytime wage workers after excluding self-employed people, business owners, unpaid family employees, and wage workers who work nights and shifts. Sleep disorders were categorized into "difficulty in falling asleep," "frequent waking," and "waking up with fatigue." Logistic regression analysis was used to evaluate the influence of long work hours on sleep disorders, and the odds ratios (ORs) were calculated. Results: The OR of working > 52 hours per week was 1.183 (95% confidence interval [CI]: 1.002-1.394) for the risk of developing insomnia compared with working ≤ 40 hours per week. The OR of waking up with fatigue was 1.531 (95% CI: 1.302-1.801). Long work hours showed no significant relationship with difficulty in falling asleep or with frequent waking. Conclusions: Working for extended hours was associated with increased fatigue upon waking in non-shift daytime wage workers.

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Section: Discussionmentioning

confidence: 63%

Relationship between long work hours and self-reported sleep disorders of non-shift daytime wage workers in South Korea: data from the 5th Korean Working Conditions Survey

Choi

Lee

Jeon

et al. 2020

Ann Occup Environ Med

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“…Menstruation status is affected by biological factors [ 1 , 2 ] and also psychological status [ 3 ]. Long hours at work are a source of occupational stress that increases psychological distress [ 4 , 5 ], together with an increased risk of work-related injuries [ 6 ] and poor health outcomes [ 7 ]. However, hormones controlling the normal system of menstruation may alleviate the risk of cardiovascular disease for those in their reproductive years [ 8 ].…”

Section: Introductionmentioning

confidence: 99%

Relationship between menstruation status and work conditions in Japan

Nishikitani

Nakao

Tsurugano

et al. 2017

BioPsychoSocial Med

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BackgroundMenstrual problems can significantly impact daily and work life. In reaction to a shrinking population, the Japanese government is encouraging more women to participate in the labor force. Actual success in achieving this aim, however, is limited. Specifically, participation in the workforce by women during their reproductive years is impacted by their health, which involves not only work conditions, but also traditional family circumstances. Therefore, it is important to further assess and gather more information about the health status of women who work during their reproductive years in Japan. Specifically, women’s health can be represented by menstruation status, which is a pivotal indicator. In this study, we assessed the association between short rest periods in work intervals and menstruation and other health status indicators among female workers in Japan.MethodsStudy participants were recruited from the alumnae of a university, which provided a uniform educational level. All 9864 female alumnae were asked to join the survey and 1630 (17%) accepted. The final sample of study participants (n = 505) were aged 23–43 years, had maintained the same job status for at least 1 year, and were not shift workers, had no maternal status, and did not lack any related information. The participants were divided into two groups according to interval time, with 11 h between end of work and resumption of daily work as a benchmark. This interval time was based on EU regulations and the goal set by the government of Japan. Health outcomes included: menstrual cycle, dysmenorrhoea symptoms, anxiety regarding health, and satisfaction in terms of health. Multiple logistic regression analyses were conducted to estimate the odds ratios (ORs) and 95% confidence intervals (CIs) for health indexes in association with interval time by adjusting for confounding variables that included both psychosocial and biological factors.ResultsWe compared the health status of women in the workforce with and without a sufficient interval time of 11 h/day. Workers who had a short interval time had a significantly higher prevalence of anxiety about health and dissatisfaction with their health. For menstruation status, only abnormal menstruation cycles were observed more often among workers in the short interval group than those of the long interval group. However, this association disappeared when biological confounding factors were adjusted in a multivariable regression model. Dysmenorrhea symptoms did not show a statistically significant association with short interval time.ConclusionsThis study found a significant association between a short interval time of less than 11 h/day and subjective health indicators and the menstrual health status of women in the workforce. Menstrual health was more affected by biological factors than social psychological factors. A long work time and short interval time could increase worker anxiety and dissatisfaction and may deteriorate the menstrual cycle.

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“…Sleep problems has been regarded as a major cause of driving accidents . Insomnia, poor sleep quality, and daytime sleepiness can be caused by poor sleep quality, sleep‐disordered breathing, psychiatric disorders, poor sleep hygiene, work conditions, and physical illness . We found that insomnia was associated with human error events and near‐miss events, and daytime sleepiness was associated with human errors among South Korean train drivers.…”

Section: Discussionmentioning

confidence: 77%

Sleeping, sleeping environments, and human errors in South Korean male train drivers

Lee

Kim

Shin

et al. 2019

Journal of Occupational Health

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Objectives Reducing human errors caused by daytime sleepiness among train drivers is important to prevent train accidents. Our purpose of the study was to investigate the association among sleep, workplace sleeping environments, and human errors. Methods We recruited 144 South Korean train drivers belongs to the Korean Railroad Corporation. This cross‐sectional data was analyzed to investigate the association of insomnia (insomnia severity index), sleep quality (Pittsburgh sleep quality index), obstructive sleep apnea (Berlin questionnaire), and daytime sleepiness (Epworth scale) with human error and near‐miss experiences. We examined whether human error and near‐miss events were associated with various sleeping environments at work and at home after adjusting for the sleep indices. Results The experience of human errors was associated with insomnia and daytime sleepiness, and near‐miss events were associated with insomnia among South Korean drivers. Sleeping environments including cold temperature and odor were related to both human errors and near‐miss events among South Korean train drivers, after adjusted for age, working years, shiftwork, obesity, smoking, binge drinking, regular exercise, caffeine consumption, sleep quality, severity of insomnia, obstructive sleep apnea, and daytime sleepiness. Conclusions The train drivers’ workplace sleeping environment is significantly associated with human error events and near‐miss events after adjusting for sleep quality, insomnia, obstructive sleep apnea, and daytime sleepiness. To prevent train accidents caused by human errors, more attention is necessary for improving workplace sleeping environments.

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Long working hours and sleep problems among public junior high school teachers in Japan

Cited by 29 publications

References 25 publications

Relationship between long work hours and self-reported sleep disorders of non-shift daytime wage workers in South Korea: data from the 5th Korean Working Conditions Survey

Relationship between long work hours and self-reported sleep disorders of non-shift daytime wage workers in South Korea: data from the 5th Korean Working Conditions Survey

Relationship between menstruation status and work conditions in Japan

Sleeping, sleeping environments, and human errors in South Korean male train drivers

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