Sleep Duration and Incidence of Cardiovascular Events in a Japanese Population: The Jichi Medical School Cohort Study

Amagai, Yoko; Ishikawa, Shizukiyo; Gotoh, Tadao; Kayaba, Kazunori; Nakamura, Yosikazu; Kajii, Eiji

doi:10.2188/jea.je20090053

Cited by 99 publications

(99 citation statements)

References 21 publications

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“…Spline analysis using linear models did not shown any difference in events with shorter duration than 7 hours for both cardiovascular mortality (8 studies)11, 25, 44, 47, 49, 71, 87, 88 and CVD (7 studies) 8, 12, 22, 33, 38, 42, 74. However, longer self‐reported sleep duration >7 hours appeared to be associated with a moderate increase in greater stroke mortality (cubic model shown in Data S8).…”

Section: Resultsmentioning

confidence: 99%

“…A total of 74 studies met the inclusion criteria; the process of study selection is shown in Figure 1 8, 9, 11, 12, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89,...…”

Section: Resultsmentioning

confidence: 99%

“…Linear spline analysis for stroke mortality and stroke included 347, 49, 65 and 98, 22, 31, 42, 43, 50, 69, 76, 83 studies, respectively. There was no difference in stroke events associated with self‐reported sleep duration shorter or longer than 7 hours, but a moderate increase in stroke mortality if sleep duration was >7 hours (Figure 3, Data S8).…”

Section: Resultsmentioning

confidence: 99%

“…There were 16 studies‡ (Data S15) that evaluated CVD mortality and 8 studies8, 12, 22, 28, 33, 38, 42, 74 (Data S16) that evaluated CVD events. The J‐shaped pattern was observed for self‐reported sleep duration and CVD mortality, but this was not the case for CVD events, but there were fewer studies in the event analysis.…”

Section: Resultsmentioning

confidence: 99%

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Self‐Reported Sleep Duration and Quality and Cardiovascular Disease and Mortality: A Dose‐Response Meta‐Analysis

Kwok

Kontopantelis

Kuligowski

et al. 2018

JAHA

314

243

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BackgroundThere is growing evidence that sleep duration and quality may be associated with cardiovascular harm and mortality.Methods and ResultsWe conducted a systematic review, meta‐analysis, and spline analysis of prospective cohort studies that evaluate the association between sleep duration and quality and cardiovascular outcomes. We searched MEDLINE and EMBASE for these studies and extracted data from identified studies. We utilized linear and nonlinear dose‐response meta‐analysis models and used DerSimonian–Laird random‐effects meta‐analysis models of risk ratios, with inverse variance weighting, and the I2 statistic to quantify heterogeneity. Seventy‐four studies including 3 340 684 participants with 242 240 deaths among 2 564 029 participants who reported death events were reviewed. Findings were broadly similar across both linear and nonlinear dose‐response models in 30 studies with >1 000 000 participants, and we report results from the linear model. Self‐reported duration of sleep >8 hours was associated with a moderate increased risk of all‐cause mortality, with risk ratio, 1.14 (1.05–1.25) for 9 hours, risk ratio, 1.30 (1.19–1.42) for 10 hours, and risk ratio, 1.47 (1.33–1.64) for 11 hours. No significant difference was identified for periods of self‐reported sleep <7 hours, whereas similar patterns were observed for stroke and cardiovascular disease mortality. Subjective poor sleep quality was associated with coronary heart disease (risk ratio, 1.44; 95% confidence interval, 1.09–1.90), but no difference in mortality and other outcomes.ConclusionsDivergence from the recommended 7 to 8 hours of sleep is associated with a higher risk of mortality and cardiovascular events. Longer duration of sleep may be more associated with adverse outcomes compared with shorter sleep durations.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

See 2 more Smart Citations

Self‐Reported Sleep Duration and Quality and Cardiovascular Disease and Mortality: A Dose‐Response Meta‐Analysis

Kwok

Kontopantelis

Kuligowski

et al. 2018

JAHA

314

243

View full text Add to dashboard Cite

show abstract

“…It was also verified that lack of students causes various disorders, causes the risk of the occurrence of various disorders in autonomic nerve activity [30] [31], the endocrine system [32]- [37] and the cardiovascular system [38]- [43]. Therefore, in order to prevent diseases in the future, it is important to acquire a desirable life rhythm and maintain enough students from a very young age.…”

Section: Resultsmentioning

confidence: 99%

Relationship among Sleep Quality Physical Health Conditions and Lifestyle Habits among Elementary School Students

Sugimoto¹,

Tanioka²,

Yasuhara³

et al. 2017

OJPsych

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The purpose of this research was to reveal the relationship among students' sleep quality, body temperature and lifestyle habits, growth and their physical strength. Subjects were 226 elementary school students from first grade to sixth grade, in four elementary schools at the Chugoku and Shikoku areas in Japan. The study period was from October 2014 to December 2015. Evaluation items used were the PSQI (Pittsburgh Sleep Quality Index, Japanese version), body temperature, lifestyle habits, and national physical fitness test. Relationships were analyzed using Pearson's chi square test, Fisher's exact test, residual analysis, φ-coefficient, odds ratio and 95% confidence interval, and Spearman's rank correlation coefficient using SPSS 20 (SPSS Inc., Chicago, IL, USA). The level of statistical significance was set at 0.05. The number of students with good sleep quality who showed less than six-point score at the PSQI was 218 (96.5%), and with poor sleep quality were eight students (3.5%). Especially, "sometimes do not eat breakfast" and "had difficulty sleeping" were independent risk factors for negative arousal. In the lifestyle habits, it was observed significantly that students who had a good sleep ate breakfast every morning. The significant positive correlation was between sleep quality and the time spent watching television, the age and the time using the internet. The significant negative correlation was observed between length of sleep, time spent watching television, using internet and playing games, body temperature and age. The students with temperature of less than 36˚C were 35 (15.5%). Those students did not eat breakfast every morning, or ate school lunch. This study revealed that sleep condition and temperature of elementary 236 Open Journal of Psychiatry school students were related to eating breakfast and using media time. It was considered very important to educate the students and their guardians that eating breakfast is a necessity and adjusting the use of multimedia, so that students can acquire desirable lifestyle habits.

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Sleep disturbances in adults with arthritis: Prevalence, mediators, and subgroups at greatest risk. Data from the 2007 National Health Interview Survey

Louie

Tektonidou

Caban‐Martinez

et al. 2011

Arthritis Care & Research

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Objective To examine the prevalence of sleep disturbances in adults with arthritis in a nationally representative sample, mediators of sleep difficulties, and subgroups of individuals with arthritis at greatest risk. Methods Using data on US adults ages ≥18 years participating in the 2007 National Health Interview Survey, we computed the prevalence of 3 measures of sleep disturbance (insomnia, excessive daytime sleepiness, and sleep duration <6 hours) among persons with arthritis. We used logistic regression analysis to examine if the association of arthritis and sleep disturbances was independent of sociodemographic characteristics and comorbidities, and to identify potential mediators. We used classification trees to identify subgroups at higher risk. Results The adjusted prevalence of insomnia was higher among adults with arthritis than those without arthritis (23.1% versus 16.4%; P < 0.0001), but was similar to those with other chronic diseases. Adults with arthritis were more likely than those without arthritis to report insomnia (unadjusted odds ratio 2.92, 95% confidence interval 2.68 –3.17), but adjustment for sociodemographic characteristics and comorbidities attenuated this association. Joint pain and limitation due to pain mediated the association between arthritis and insomnia. Among adults with arthritis, those with depression and anxiety were at highest risk for sleep disturbance. Results for excessive daytime sleepiness and sleep duration <6 hours were similar. Conclusion Sleep disturbance affects up to 10.2 million US adults with arthritis, and is mediated by joint pain and limitation due to pain. Among individuals with arthritis, those with depression and anxiety are at greatest risk.

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Sleep Duration and Incidence of Cardiovascular Events in a Japanese Population: The Jichi Medical School Cohort Study

Cited by 99 publications

References 21 publications

Self‐Reported Sleep Duration and Quality and Cardiovascular Disease and Mortality: A Dose‐Response Meta‐Analysis

Self‐Reported Sleep Duration and Quality and Cardiovascular Disease and Mortality: A Dose‐Response Meta‐Analysis

Relationship among Sleep Quality Physical Health Conditions and Lifestyle Habits among Elementary School Students

Sleep disturbances in adults with arthritis: Prevalence, mediators, and subgroups at greatest risk. Data from the 2007 National Health Interview Survey

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