A Cross‐sectional Study of the Association between Working Hours and Sleep Duration among the Japanese Working Population

Ohtsu, Tadahiro; Kaneita, Yoshitaka; Aritake, Sayaka; Mishima, Kazuo; Uchiyama, Makoto; Akashiba, Tsuneto; Uchimura, Naohisa; Nakaji, Shigeyuki; Munezawa, Takeshi; Kokaze, Akatsuki; Ohida, Takashi

doi:10.1539/joh.12-0257-br

Cited by 20 publications

(21 citation statements)

References 12 publications

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“…Getting less sleep on weekdays and compensating for this on the weekend are associated with the nighttime use of electronic devices such as cellphones, computers, and televisions [ 4 ]. Many individuals restrict the amount of sleep they get on weekdays because of the demands of modern lifestyles [ 5 ]. As such, people get insufficient sleep on weekdays and accumulate a sleep debt throughout the week, and therefore they frequently sleep for longer on the weekend.…”

Section: Introductionmentioning

confidence: 99%

Monitoring of Weekly Sleep Pattern Variations at Home with a Contactless Biomotion Sensor

Hashizaki

Nakajima

Kume

2015

Sensors

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Many people find that their sleep is restricted or disturbed by social obligations, including work. Sleep phase delays can affect an individual’s circadian rhythms on the following day and cause daytime sleepiness and/or poor performance. In this study, to examine weekly variations in sleep patterns, we analyzed sleep data for seven-day periods (from Sunday to Saturday) that had been collected from 2914 subjects (aged 20–79 years) over a total of 24,899 subject-weeks using contactless biomotion sensors. On the weekend, the subjects’ mean sleep midpoint, bedtime, and wake-up time were delayed by 40, 26 and 53 min, respectively, compared with those seen on weekdays. In addition, on weekdays, the mean difference between the maximum and median sleep midpoint ranged from 35 to 47 min among the subjects in their 20 s–70 s. The weekend delay and weekday variation in the subjects’ sleep patterns tended to decrease with age. This study detected sleep pattern disturbances on both weekdays and weekends. The serial changes in weekday bedtimes detected in this study suggest that sleep habits are influenced by changes in the temporal patterns of social activities/duties. We need further study the advantages of getting extra sleep and the disadvantages of sleep pattern disturbances in daily lifestyle.

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Section: Introductionmentioning

confidence: 99%

Monitoring of Weekly Sleep Pattern Variations at Home with a Contactless Biomotion Sensor

Hashizaki

Nakajima

Kume

2015

Sensors

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“…Additionally, people who do not get an adequate amount of sleep ( ≥ 5 hours or >6 hours) are at an increased risk of morbidities 3,8,11,15,16,19) . According to the Sleep Guideline for Health Promotion 2014 in Japan 21) , 6-8 hours of sleep reduces the risk of lifestyle-related diseases and depression.…”

Section: Discussionmentioning

confidence: 99%

“…Since all of the participants were workers from one company, this study may not be generalizable to other companies or the general population. Work situations and lifestyle can impact sleep disorders [4][5][6][7][8] , and workers tend to be healthier than the general population (the healthy worker effect) 22) . In this logistic regression adjusted for gender, age range, and work style, the coefficient of determination is small.…”

Section: Discussionmentioning

confidence: 99%

“…Sleep disorders, such as insomnia and poorly perceived sleep quality, comprise approximately 20% of the Japanese population [1][2][3] . Workers are more likely to have sleep disorders due to work style [4][5][6] and long working hours 7,8) . Furthermore, many domestic and foreign research reports suggest that sleep disorders, such as insomnia or sleep apnea syndrome, raise the prevalence or morbidity risk of lifestyle-related diseases like high blood pressure, diabetes, or cerebrovascular disease, and deteriorate life prognosis [9][10][11][12][13] .…”

Section: Introductionmentioning

confidence: 99%

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Investigating the significance of three simple questions for identification of sleep problems

Yokogawa

Fukuda

Kaneko

et al. 2019

Health evaluation and promotion

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Objectives. Thoroughly listening to complaints is important to properly diagnose sleep disorders. If sleep disorderscan be identified using a few simple questions, more people can have earlier and approximate treatments.Methods. The participants were Japanese workers who answered a medical questionnaire which included questions on lifestyle and work style, and the Pittsburgh Sleep Quality Index Japanese version (PSQI-J), in a periodic health checkup. The PSQI-J global score (PSQIG) was used to categorize participants into two groups. Lifestyles, including sleep conditions and work styles, between the groups were compared using the chi-square test. Logistic regression was used to calculate the odds ratios (ORs), adjusted for gender, age range, and work style, to measure associations between each sleep condition and the PSQIG group.Results. The subjects were 839 (men 714, women 125). In the "healthy sleep group (PSQIG ≤ 5)", the numbers with a consistent sleep routine, good sleep quality, and an average of ≥ 6 hours of sleep were significantly higher. Women in the "healthy sleep group" were significantly more likely to be daytime-workers (p < 0.01). The subjects in the "healthy sleep group" were more likely to have a consistent sleep routine (OR 1.61, 95% confidence interval 1.10 -2.35), good sleep quality (5.53, 3.49-9.00), and an average of ≥6 hours sleep (3.04, 2.07 -4.52). Conclusions. Three simple questions addressing sleep regularity, subjective sleep quality, and sleep duration were allassociated with the PSQIG in this study. Asking a few questions about sleep might be useful to grasp the workers' sleep conditions and to prevent them from developing sleep disorders.

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“…34,35 In the Japanese working population, longer working hours were associated with shorter sleep duration (< 6 h/day) in both men and women. 36 Thus, fulltime employees may be more susceptible to ISS because they work a greater number of hours and consequently sleep for a shorter period during the night. In addition, students might be at greater risk for ISS because their sleep-wake patterns are likely to be delayed during school days, thus elevating nocturnal preference and ultimately decreasing total nocturnal sleep time.…”

Section: Discussionmentioning

confidence: 99%

Prevalence and Correlates of Insufficient Sleep Syndrome in Japanese Young Adults: A Web-Based Cross-Sectional Study

Morita

Sasai-Sakuma

Asaoka

et al. 2015

Journal of Clinical Sleep Medicine

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Study Objectives: This study investigated the prevalence and risk factors of insuffi cient sleep syndrome (ISS), and factors associated with daytime dysfunction in the disorder in Japanese young adults. Methods: In this cross-sectional study, a web-based questionnaire survey was used to assess demographic variables, sleep habits and quality, depressive symptoms, and health-related quality of life (HRQOL) in 2,276 participants aged 20-25. Results: Eleven percent of participants were classifi ed as having ISS. Multiple logistic regression analysis revealed that the presence of ISS was signifi cantly associated with social status (student or full-time employee). The participants with ISS had signifi cantly higher depression scores and lower mental component summary scores than healthy sleepers.In the participants with ISS, a delayed sleep-wake schedule was extracted as a factor associated with worse mental component summary. Conclusions:Results indicate a relatively high proportion of Japanese young adults suffer from ISS, and that the condition is associated with a social status of student or full-time employee. Moreover, a delayed sleep-wake schedule may lead to further deterioration of mental HRQOL in ISS-affected persons. Keywords: insuffi cient sleep syndrome, young adults, healthrelated quality of life, depression, delayed sleep-wake schedule Citation: Morita Y, Sasai-Sakuma T, Asaoka S, Inoue Y. Prevalence and correlates of insuffi cient sleep syndrome in Japanese young adults: a web-based cross-sectional study.

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A Cross‐sectional Study of the Association between Working Hours and Sleep Duration among the Japanese Working Population

Cited by 20 publications

References 12 publications

Monitoring of Weekly Sleep Pattern Variations at Home with a Contactless Biomotion Sensor

Monitoring of Weekly Sleep Pattern Variations at Home with a Contactless Biomotion Sensor

Investigating the significance of three simple questions for identification of sleep problems

Prevalence and Correlates of Insufficient Sleep Syndrome in Japanese Young Adults: A Web-Based Cross-Sectional Study

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