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Sleep Patterns and Total Mortality: A 12-Year Follow-up Study in Japan
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A population-based cohort study was conducted to assess the relationship between total mortality and self-reported sleep patterns as regards not only to sleep duration but also subjective sleep quality. A total of 5,322 inhabitants in Gifu Prefecture, Japan, completed a self-administered questionnaire on health status and lifestyles including habitual sleep patterns, and were followed-up for an average of 11.9 years. Relative risks were computed by using Cox proportional hazards models. Both longer and shorter sleep, compared to 7-8 hour-sleep, was related to significantly increased risk of total mortality in males (relative risk [RR] for > or = 10 hours = 1.94, and RR for < 7 hour = 1.90), but not in females. Females complaining of poor awakening state experienced a higher mortality risk compared to those who woke up normally (RR: 1.97). Males who usually fell asleep easily showed a marginally lower mortality risk compared to those who fell asleep normally (RR: 0.70). Female users of sleeping pills were at an elevated risk (RR: 1.89). These findings were almost unchanged after adjustment for sleep duration and other confounders. Poor self-reported quality of sleep seemed to be associated with an increased risk of mortality independently of sleep duration.
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“Self-reported sleep duration is widely used in epidemiologic studies and is the basis of research on the relation between sleep duration and mortality (13)(14)(15)(16)(17)(18)(19).”
From Sleep Duration in the United States: A Cross-sectional Population-based Study (2009) · cites this paper as [13]
In the citing paper
“Sleep duration is associated with cardiovascular disease and diabetes risk factors, depression, automobile and workplace accidents, and prospective mortality.”
From Sleep Duration in the United States: A Cross-sectional Population-based Study (2009) · cites this paper as [13]
In the citing paper
“Many of our covariates have established relations with the risk of death (25,65) and might account for the relation between sleep duration and mortality (13)(14)(15)(16)(17)(18).”
From Sleep Duration in the United States: A Cross-sectional Population-based Study (2009) · cites this paper as [13]
In the citing paper
“self-reported sleep duration reliably predicts prospective mortality and other health outcomes (1-7, 13-18).”
From Sleep Duration in the United States: A Cross-sectional Population-based Study (2009) · cites this paper as [13]
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Metadata
- Authors
- Kojima, M., Wakai, K., Kawamura, T., Tamakoshi, A., Aoki, R., Lin, Y., Nakayama, T., Horibe, H., Aoki, N., & Ohno, Y.
- Affiliations
- Nagoya University (JP)
- Kyoto University (JP)
- Sugiyama Jogakuen University (JP)
- Hamamatsu University (JP)
- ORCID
- Venue
- Journal of Epidemiology
- Publisher
- Japan Epidemiological Association
- Published
- 2000
- Volume
- 10
- Issue
- 2
- Pages
- 87-93
- ISSN
- 0917-5040 (ISSN-L)
- OpenAlex
- W2038302027
- Cited by
- 241
- References
- 39
- Citations by year
- 2026: 1 · 2025: 1 · 2024: 2 · 2023: 8 · 2022: 8 · 2021: 8 · 2020: 14 · 2019: 8 · 2018: 10 · 2017: 11 · 2016: 14 · 2015: 19 · 2014: 10 · 2013: 14 · 2012: 9
- FWCI
- 10.80
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- Journal of Epidemiology (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Sleep and related disorders
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Sleep and Work-Related Fatigue
- Life Sciences › Neuroscience › Endocrine and Autonomic Systems › Circadian rhythm and melatonin
- Keywords
- sleep patterns, all-cause mortality, sleep duration, subjective sleep quality, sleep onset, hypnotics, sex differences, Gifu Prefecture
- MeSH terms
- Adult, Aged, Attitude to Health, Female, Follow-Up Studies, Health Status, Humans, Hypnotics and Sedatives, Japan, Life Style, Male, Middle Aged, Mortality, Population Surveillance, Risk Factors, Sex Factors, Sleep, Sleep Wake Disorders, Time Factors, Cohort Studies, Confounding Factors, Epidemiologic, Multivariate Analysis, Chi-Square Distribution, Proportional Hazards Models, Sleep-Wake Transition Disorders
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