Abstract MP26: Sleep duration and risk of stroke mortality among Chinese adults in Singapore: the Singapore Chinese Health Study

Circulation ◽  
2014 ◽  
Vol 129 (suppl_1) ◽  
Author(s):  
An Pan ◽  
Jian-Min Yuan ◽  
Woon-Puay Koh
Keyword(s):  
Sleep Duration ◽  
Reference Group ◽  
Total Mortality ◽  
Health Study ◽  
Stroke Mortality ◽  
Chinese Adults ◽  
Short Sleep Duration ◽  
Increased Risk ◽  
Long Sleep ◽  
Singapore Chinese

Introduction: Short or long sleep hours are associated with adverse health outcomes, including diabetes, hypertension, coronary heart disease (CHD) and total mortality. However, the prospective relation between sleep duration and stroke risk is less studied, particularly in Asians. Thus, we assessed the hypothesis that short (≤5 hours) and long (≥9 hours) sleep durations were related to increased risk of stroke mortality among Chinese adults residing in Singapore. Methods: The Singapore Chinese Health Study is a population-based cohort that recruited 63,257 Chinese adults aged 45-74 years during 1993 and 1998. Sleep duration was assessed at baseline and categorized to five groups: ≤5, 6, 7, 8 or ≥9 hours. Death information was identified via registry linkage up to December 31, 2011, with ICD-9 codes 430-438 for all stroke deaths, 430-432 for hemorrhagic, and 433-438 for ischaemic or non-specified stroke deaths. Cox proportional hazard models were used to calculate hazard ratios (HRs) with adjustment for socio-demographic, lifestyle and comorbidities. Results: We documented 1,381 total stroke deaths (322 hemorrhagic and 1,059 ischaemic or non-specified strokes) during 926,752 person-years of follow-up. Compared to the reference group of sleeping for 7 hours, the multivariate-adjusted HR (95% confidence interval) for total stroke mortality was 1.25 (1.05-1.50) for ≤5 hours, 1.01 (0.87-1.18) for 6 hours, 1.09 (0.95-1.26) for 8 hours, and 1.54 (1.28-1.85) for ≥9 hours. The increased risk was also observed for ischaemic or non-specified stroke deaths with short (1.37; 1.12-1.68) and long (1.68; 1.36-2.06) sleep durations, but not for hemorrhagic stroke deaths (0.92 [0.62-1.36] and 1.14 [0.76-1.72], respectively). We observed significant interaction with baseline hypertension (P-interaction=0.04): positive association was found for short (1.54; 1.16-2.03) and long (1.95; 1.48-2.57) sleep durations among individuals with baseline hypertension, but not among those without baseline hypertension (1.07 [0.85-1.36] and 1.27 [0.98-1.63], respectively). Furthermore, in participants without baseline CHD/stroke, short and long sleep durations were related to an increased risk (HR 1.30 [1.07-1.57] and 1.43 [1.16-1.76], respectively); while in CHD/stroke patients, only long sleep duration was associated with an increased risk (2.34; 1.53-3.57), but not the short sleep duration (0.96; 0.57-1.62). Conclusions: In this large cohort study of Chinese adults, both short and long sleep durations were significantly associated with increased risks of stroke mortality. The associations were significant and stronger in hypertensive participants, but not in those without hypertension. Further studies are needed to confirm the interaction with hypertension and explore the mechanisms linking sleep quantity and stroke mortality.

scholarly journals Sleep Duration and the Risk of Metabolic Syndrome in Adults: A Systematic Review and Meta-Analysis

2021 ◽  
Vol 12 ◽  
Author(s):  
Jianian Hua ◽  
Hezi Jiang ◽  
Hui Wang ◽  
Qi Fang
Keyword(s):  
Metabolic Syndrome ◽  
Cohort Studies ◽  
Sleep Duration ◽  
Meta Analysis ◽  
Short Sleep Duration ◽  
Cross Sectional ◽  
Short Sleep ◽  
Increased Risk ◽  
Long Sleep ◽  
Cross Sectional Studies

Objective: Epidemiological studies have reported inconsistent findings for the association between sleep duration and metabolic syndrome. We aimed to clarify the effects of short and long sleep durations on metabolic syndrome in adults by performing a meta-analysis.Methods: Adopting random-effects models, this study analyzed the effects of short and long sleep durations based on data from prospective cohort studies and cross-sectional studies retrieved from four electronic databases from inception to May 2020.Results: We collected data from 235,895 participants included in nine prospective cohort studies and 340,492 participants included in 27 cross-sectional studies. In cohort studies, short sleep duration was associated with an increased risk of metabolic syndrome (RR, 1.15; 95% CI, 1.05–1.25, I2 = 63.1%, P < 0.001) compared with normal sleep duration. While long sleep duration was not associated with new-onset metabolic syndrome (RR, 1.02, 0.85–1.18, I2 = 38.0%, P = 0.491). In cross-sectional studies, both short (OR, 1.06, 95% CI, 1.01–1.11, I2 = 66.5%, P < 0.001) and long (OR, 1.11, 95% CI, 1.04–1.17, I2 = 73.8%, P < 0.001) sleep durations were associated with a high prevalence of metabolic syndrome.Conclusions: Only a short sleep duration was associated with an increased risk of metabolic syndrome. Future studies should address whether the association is casual and modifiable.

scholarly journals Relationship between Sleep Duration and All-Cause Mortality in the Older People: An Updated and Dose-Response Meta-Analysis

2020 ◽  
Author(s):  
wenquan Niu ◽  
Mengyang He ◽  
Xiangling Deng ◽  
Yuqing Zhu ◽  
Luyao Huan
Keyword(s):  
Older People ◽  
Sleep Duration ◽  
Dose Response ◽  
Data Extraction ◽  
Meta Analysis ◽  
Short Sleep Duration ◽  
Increased Risk ◽  
Long Sleep ◽  
All Cause Mortality ◽  
Summary Data

Abstract Background Short or long sleep duration is recognized as a potential risk factor for all-cause mortality in the older people, yet the results are not often reproducible. Objectives We aimed to investigate whether sleep duration was associated with an increased risk of all-cause mortality in the older people through a comprehensive meta-analysis. Methods Literature retrieval, research selection and data extraction were done independently and in duplicate. Effect-size estimates are expressed as odds ratio (OR) and 95% confidence interval (CI). Results Summary data from 35 articles, involving 11746 older people, were meta-analyzed. Overall analyses revealed a significant association between long sleep duration and all-cause mortality in the older people (OR=1.27, 95% CI: 1.19-1.35, P <.001), and short sleep duration was marginally related to the all-cause mortality in the older people (OR=1.05; 95% CI: 1.00-1.09; P =.045). The Egger’s test indicated no publication bias between sleep duration and all-cause mortality in the older people. In subgroup analyses, the association with all-cause mortality was reinforced in older people women with long sleep duration (OR=1.48, 95% CI: 1.18-1.85, P =.002) relative to older people men with long sleep duration (OR=1.3, 95% CI: 1.10-1.50, P =.001). Further dose-response analyses showed a J-shaped relationship between sleep duration and all-cause mortality in the older people. Conclusions Our meta-analytical findings demonstrated a J-shaped relationship between sleep duration and all-cause mortality in the older people. For long sleep duration, older people women had a higher mortality rate than older people men.

scholarly journals The relationship between sleep duration and all-cause mortality in the older people: an updated and dose-response meta-analysis

2020 ◽  
Author(s):  
Mengyang He ◽  
Xiangling Deng ◽  
Yuqing Zhu ◽  
Luyao Huan ◽  
Wenquan Niu
Keyword(s):  
Older People ◽  
Sleep Duration ◽  
Dose Response ◽  
Data Extraction ◽  
Meta Analysis ◽  
Short Sleep Duration ◽  
Short Sleep ◽  
Increased Risk ◽  
Long Sleep ◽  
All Cause Mortality

Abstract Background: Short or long sleep duration is proposed as a potential risk factor for all-cause mortality in the older people, yet the results of published studies are not often reproducible. Objectives: We aimed to investigate whether short or long sleep duration was associated with an increased risk of all-cause mortality in the older people via a comprehensive meta-analysis. Methods: Literature retrieval, study selection and data extraction were completed independently and in duplicate. Effect-size estimates are expressed as relative risk (RR) and its 95% confidence interval (CI). Results: Summary data from 35 articles, involving a total of 106990 older people, were meta-analyzed. Overall analyses revealed a significant association between long sleep duration and all-cause mortality (RR=1.27, 95% CI: 1.19-1.35, P <.001), whereas marginal significance was observed for short sleep duration (RR=1.05; 95% CI: 1.00-1.09; P =.045). There was a low probability of publication bias as indicated by Egger’s test for the association between sleep duration and all-cause mortality. In subgroup analyses, the association between long sleep duration and all-cause mortality was relatively strong in women (RR=1.48, 95% CI: 1.18-1.85, P =.002) relative to men (RR=1.30, 95% CI: 1.10-1.50, P =.001) (Two-sample Z test P = .219). Further dose-response regression analyses showed that trend estimation was not obvious for short sleep duration ( P = .016) compared with long sleep duration ( P < .001), indicating a J-shaped relationship between sleep duration and all-cause mortality. Conclusions: Our findings indicate a J-shaped relationship between sleep duration and all-cause mortality in the older people, with long sleep duration significantly associating with all-cause mortality, especially in women.

scholarly journals The relationship between sleep duration and all-cause mortality in the older people: an updated and dose-response meta-analysis

2020 ◽  
Author(s):  
Mengyang He ◽  
Xiangling Deng ◽  
Yuqing Zhu ◽  
Luyao Huan ◽  
Wenquan Niu
Keyword(s):  
Older People ◽  
Sleep Duration ◽  
Dose Response ◽  
Data Extraction ◽  
Meta Analysis ◽  
Short Sleep Duration ◽  
Short Sleep ◽  
Increased Risk ◽  
Long Sleep ◽  
All Cause Mortality

Abstract Background: Short or long sleep duration is proposed as a potential risk factor for all-cause mortality in the older people, yet the results of published studies are not often reproducible. Objectives: We aimed to investigate whether short or long sleep duration was associated with an increased risk of all-cause mortality in the older people via a comprehensive meta-analysis. Methods: Literature retrieval, study selection and data extraction were completed independently and in duplicate. Effect-size estimates are expressed as relative risk (RR) and its 95% confidence interval (CI). Results: Summary data from 35 articles, involving a total of 106990 older people, were meta-analyzed. Overall analyses revealed a significant association between long sleep duration and all-cause mortality (RR=1.27, 95% CI: 1.19-1.35, P <.001), whereas marginal significance was observed for short sleep duration (RR=1.05; 95% CI: 1.00-1.09; P =.045). There was a low probability of publication bias as indicated by Egger’s test for the association between sleep duration and all-cause mortality. In subgroup analyses, the association between long sleep duration and all-cause mortality was relatively strong in women (RR=1.48, 95% CI: 1.18-1.85, P =.002) relative to men (RR=1.30, 95% CI: 1.10-1.50, P =.001) (Two-sample Z test P = .219). Further dose-response regression analyses showed that trend estimation was not obvious for short sleep duration ( P = .016) compared with long sleep duration ( P < .001), indicating a J-shaped relationship between sleep duration and all-cause mortality. Conclusions: Our findings indicate a J-shaped relationship between sleep duration and all-cause mortality in the older people, with long sleep duration significantly associating with all-cause mortality, especially in women.

scholarly journals The relationship between sleep duration and all-cause mortality in the older people: an updated and dose-response meta-analysis

2020 ◽  
Author(s):  
Mengyang He ◽  
Xiangling Deng ◽  
Yuqing Zhu ◽  
Luyao Huan ◽  
Wenquan Niu
Keyword(s):  
Older People ◽  
Sleep Duration ◽  
Dose Response ◽  
Data Extraction ◽  
Meta Analysis ◽  
Short Sleep Duration ◽  
Short Sleep ◽  
Increased Risk ◽  
Long Sleep ◽  
All Cause Mortality

Abstract Background: Short or long sleep duration is proposed as a potential risk factor for all-cause mortality in the older people, yet the results of published studies are not often reproducible. Objectives: We aimed to investigate whether short or long sleep duration was associated with an increased risk of all-cause mortality in the older people via a comprehensive meta-analysis. Methods: Literature retrieval, study selection and data extraction were completed independently and in duplicate. Effect-size estimates are expressed as relative risk (RR) and its 95% confidence interval (CI). Results: Summary data from 35 articles, involving a total of 106990 older people, were meta-analyzed. Overall analyses revealed a significant association between long sleep duration and all-cause mortality (RR=1.27, 95% CI: 1.19-1.35, P <.001), whereas marginal significance was observed for short sleep duration (RR=1.05; 95% CI: 1.00-1.09; P =.045). There was a low probability of publication bias as indicated by Egger’s test for the association between sleep duration and all-cause mortality. In subgroup analyses, the association between long sleep duration and all-cause mortality was relatively strong in women (RR=1.48, 95% CI: 1.18-1.85, P =.002) relative to men (RR=1.30, 95% CI: 1.10-1.50, P =.001) (Two-sample Z test P = .219). Further dose-response regression analyses showed that trend estimation was not obvious for short sleep duration ( P = .016) compared with long sleep duration ( P < .001), indicating a J-shaped relationship between sleep duration and all-cause mortality. Conclusions: Our findings indicate a J-shaped relationship between sleep duration and all-cause mortality in the older people, with long sleep duration significantly associating with all-cause mortality, especially in women.

scholarly journals Sleep duration and risk of incident stroke by age, sex, and race

Neurology ◽  
2018 ◽  
Vol 91 (18) ◽  
pp. e1702-e1709 ◽  
Author(s):  
Megan E. Petrov ◽  
George Howard ◽  
Michael A. Grandner ◽  
Dawn Kleindorfer ◽  
Jennifer R. Molano ◽  
...  
Keyword(s):  
Black Men ◽  
Sleep Duration ◽  
Sleep Disordered Breathing ◽  
White Men ◽  
Short Sleep Duration ◽  
Short Sleep ◽  
Black And White ◽  
Increased Risk ◽  
Long Sleep ◽  
White Adults

ObjectiveTo investigate the association between reported sleep duration and incident stroke in a US cohort of black and white adults, and evaluate race, age, and sex as potential effect modifiers.MethodsFrom 2008 to 2010, 16,733 black and white adults, aged ≥45 years, without a history of stroke or sleep-disordered breathing from the Reasons for Geographic and Racial Differences in Stroke (REGARDS) study, reported their habitual sleep duration (<6, 6.0–6.9, 7.0–8.9 [reference], ≥9 hours). Incident strokes were identified through biannual participant contact followed by physician adjudication of medical records. Cox proportional hazards analysis was conducted to calculate hazard ratios of interactions between sleep duration with race, age, sex, and 2-way combinations of these factors on incident stroke adjusting for stroke risk factors and sleep-disordered breathing risk.ResultsThe sample comprised 10.4% (n = 1,747) short sleepers (<6 hours) and 6.8% (n = 1,134) long sleepers (≥9 hours). Over an average 6.1 years follow-up, 460 strokes occurred. There were significant interactions between sleep duration and race (p = 0.018) and sleep duration and race–sex groups (p = 0.0023) in association with incident stroke. Short sleep duration was significantly associated with decreased risk for stroke among black participants (hazard ratio [HR] 0.49 [95% confidence interval (CI) 0.28–0.85]), particularly black men (HR 0.21 [95% CI 0.07–0.69]), whereas long sleep duration was significantly associated with increased risk for stroke among white men (HR 1.71 [95% CI 1.06–2.76]).ConclusionsThe association of sleep duration with incident stroke differs by race and sex, with short sleep duration among black men associated with decreased risk, whereas long sleep duration among white men associated with increased risk for stroke.

Relationship between Sleep Duration and All-Cause Mortality in the Elderly: An Updated and Dose-Response Meta-Analysis. (Preprint)

2020 ◽  
Author(s):  
Mengyang He ◽  
Xiangling Deng ◽  
Wenquan Niu ◽  
Yuqing Zhu ◽  
Luyao Huan
Keyword(s):  
Sleep Duration ◽  
Dose Response ◽  
Elderly Women ◽  
Meta Analysis ◽  
The Elderly ◽  
Elderly Men ◽  
Short Sleep Duration ◽  
Increased Risk ◽  
Long Sleep ◽  
All Cause Mortality

BACKGROUND Short or long sleep duration is recognized as a potential risk factor for all-cause mortality in the elderly, yet the results are not often reproducible. OBJECTIVE We aimed to investigate whether sleep duration was associated with an increased risk of all-cause mortality in the elderly through a comprehensive meta-analysis. METHODS Literature retrieval, research selection and data extraction were done independently and in duplicate. Effect-size estimates are expressed as odds ratio (OR) and 95% confidence interval (CI). RESULTS Summary data from 35 articles, involving 11746 elderly people, were meta-analyzed. Overall analyses revealed a significant association between long sleep duration and all-cause mortality in the elderly (OR=1.27, 95% CI: 1.19-1.35, P <.001), and short sleep duration was marginally related to the all-cause mortality in the elderly (OR=1.05; 95% CI: 1.00-1.09; P =.045). The Egger’s test indicated no publication bias between sleep duration and all-cause mortality in the elderly. In subgroup analyses, the association with all-cause mortality was reinforced in elderly women with long sleep duration (OR=1.48, 95% CI: 1.18-1.85, P =.002) relative to elderly men with long sleep duration (OR=1.3, 95% CI: 1.10-1.50, P =.001). Further dose-response analyses showed a J-shaped relationship between sleep duration and all-cause mortality in the elderly. CONCLUSIONS Our meta-analytical findings demonstrated a J-shaped relationship between sleep duration and all-cause mortality in the elderly. For long sleep duration, elderly women had a higher mortality rate than elderly men.

scholarly journals Sleep Duration and Waking Activities in Relation to the National Sleep Foundation’s Recommendations: An Analysis of US Population Sleep Patterns from 2015 to 2017

2021 ◽  
Vol 18 (11) ◽  
pp. 6154
Author(s):  
Michael Osei Mireku ◽  
Alina Rodriguez
Keyword(s):  
Sleep Duration ◽  
Time Use ◽  
Variance Estimation ◽  
Estimation Method ◽  
Short Sleep Duration ◽  
Weighted Estimates ◽  
American Time Use Survey ◽  
Increased Risk ◽  
The Us ◽  
Time Use Survey

The objective was to investigate the association between time spent on waking activities and nonaligned sleep duration in a representative sample of the US population. We analysed time use data from the American Time Use Survey (ATUS), 2015–2017 (N = 31,621). National Sleep Foundation (NSF) age-specific sleep recommendations were used to define recommended (aligned) sleep duration. The balanced, repeated, replicate variance estimation method was applied to the ATUS data to calculate weighted estimates. Less than half of the US population had a sleep duration that mapped onto the NSF recommendations, and alignment was higher on weekdays (45%) than at weekends (33%). The proportion sleeping longer than the recommended duration was higher than those sleeping shorter on both weekdays and weekends (p < 0.001). Time spent on work, personal care, socialising, travel, TV watching, education, and total screen time was associated with nonalignment to the sleep recommendations. In comparison to the appropriate recommended sleep group, those with a too-short sleep duration spent more time on work, travel, socialising, relaxing, and leisure. By contrast, those who slept too long spent relatively less time on each of these activities. The findings indicate that sleep duration among the US population does not map onto the NSF sleep recommendations, mostly because of a higher proportion of long sleepers compared to short sleepers. More time spent on work, travel, and socialising and relaxing activities is strongly associated with an increased risk of nonalignment to NSF sleep duration recommendations.

scholarly journals Relationship between Sleep and Hypertension: Findings from the NHANES (2007–2014)

2021 ◽  
Vol 18 (15) ◽  
pp. 7867
Author(s):  
Chunnan Li ◽  
Shaomei Shang
Keyword(s):  
Blood Pressure ◽  
Sleep Disorder ◽  
Sleep Duration ◽  
Sleep Pattern ◽  
Poor Sleep ◽  
Sleep Patterns ◽  
Short Sleep Duration ◽  
Logistic Regression Models ◽  
Increased Risk ◽  
Definition Of

Background: To evaluate the association of sleep factors (sleep duration, self-reported trouble sleeping, diagnosed sleep disorder) and combined sleep behaviors with the risk of hypertension. Methods: We analyzed 12,166 adults aged 30–79 years who participated in the 2007–2014 National Health and Nutrition Examination Survey. Sleep duration, self-reported trouble sleeping and sleep disorders were collected using a standardized questionnaire. We included three sleep factors (sleep duration, self-reported trouble sleeping and sleep disorder) to generate an overall sleep score, ranging from 0 to 3. We then defined the sleep pattern as “healthy sleep pattern” (overall sleep score = 3), “intermediate sleep pattern” (overall sleep score = 2), and “poor sleep pattern” (0 ≤ overall sleep score ≤ 1) based on the overall sleep score. The definition of hypertension was based on self-reported antihypertensive medication use or biological measurement (systolic blood pressure ≥140 mm Hg and/or diastolic blood pressure ≥90 mm Hg). We used weighted logistic regression models to investigate the associations between sleep and hypertension. Results: The overall prevalence of hypertension was 37.8%. A short sleep duration (OR = 1.20, 95% CI: 1.08 to 1.33, p = 0.001), self-reported trouble sleeping (OR = 1.45, 95% CI: 1.28 to 1.65, p < 0.001) and sleep disorder (OR = 1.33, 95% CI: 1.07 to 1.66, p = 0.012) were related to the risk of hypertension. Poor sleep patterns were closely correlated with the risk of hypertension (OR = 1.90, 95% CI: 1.62 to 2.24). Conclusions: Participants with poor sleep patterns were associated with an increased risk for hypertension.

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