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.

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 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 &lt; 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 &lt; 0.001) and long (OR, 1.11, 95% CI, 1.04–1.17, I2 = 73.8%, P &lt; 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 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.

Causal associations of short and long sleep durations with 12 cardiovascular diseases: linear and nonlinear Mendelian randomization analyses in UK Biobank

2021 ◽  
Author(s):  
Sizhi Ai ◽  
Jihui Zhang ◽  
Guoan Zhao ◽  
Ningjian Wang ◽  
Guohua Li ◽  
...  
Keyword(s):  
Heart Disease ◽  
Arterial Hypertension ◽  
Ischaemic Heart Disease ◽  
Sleep Duration ◽  
Mendelian Randomization ◽  
Short Sleep Duration ◽  
Short Sleep ◽  
Causal Risk Factor ◽  
Long Sleep ◽  
Artery Disease

Abstract Aims Observational studies have suggested strong associations between sleep duration and many cardiovascular diseases (CVDs), but causal inferences have not been confirmed. We aimed to determine the causal associations between genetically predicted sleep duration and 12 CVDs using both linear and nonlinear Mendelian randomization (MR) designs. Methods and results Genetic variants associated with continuous, short (≤6 h) and long (≥9 h) sleep durations were used to examine the causal associations with 12 CVDs among 404 044 UK Biobank participants of White British ancestry. Linear MR analyses showed that genetically predicted sleep duration was negatively associated with arterial hypertension, atrial fibrillation, pulmonary embolism, and chronic ischaemic heart disease after correcting for multiple tests (P &lt; 0.001). Nonlinear MR analyses demonstrated nonlinearity (L-shaped associations) between genetically predicted sleep duration and four CVDs, including arterial hypertension, chronic ischaemic heart disease, coronary artery disease, and myocardial infarction. Complementary analyses provided confirmative evidence of the adverse effects of genetically predicted short sleep duration on the risks of 5 out of the 12 CVDs, including arterial hypertension, pulmonary embolism, coronary artery disease, myocardial infarction, and chronic ischaemic heart disease (P &lt; 0.001), and suggestive evidence for atrial fibrillation (P &lt; 0.05). However, genetically predicted long sleep duration was not associated with any CVD. Conclusion This study suggests that genetically predicted short sleep duration is a potential causal risk factor of several CVDs, while genetically predicted long sleep duration is unlikely to be a causal risk factor for most CVDs.

scholarly journals Short sleep duration is associated with an increased risk of gestational diabetes: Systematic review and meta-analysis

2016 ◽  
Vol 75 (OCE1) ◽  
Author(s):  
A.A. Alghamdi ◽  
N.A. Al Afif ◽  
G.R. Law ◽  
E.M. Scottand ◽  
G.TH. Ellison
Keyword(s):  
Systematic Review ◽  
Gestational Diabetes ◽  
Sleep Duration ◽  
Meta Analysis ◽  
Short Sleep Duration ◽  
Short Sleep ◽  
Increased Risk

scholarly journals Sleep Duration and Sleep Quality Are Associated with Physical Activity in Elderly People Living in Nursing Homes

2018 ◽  
Vol 15 (11) ◽  
pp. 2512 ◽  
Author(s):  
Lovro Štefan ◽  
Goran Vrgoč ◽  
Tomislav Rupčić ◽  
Goran Sporiš ◽  
Damir Sekulić
Keyword(s):  
Physical Activity ◽  
Nursing Homes ◽  
Sleep Quality ◽  
Sleep Duration ◽  
Short Sleep Duration ◽  
Cross Sectional ◽  
Elderly Individuals ◽  
Short Sleep ◽  
Long Sleep ◽  
Good Sleep

The main purpose of the study was to explore the associations of sleep duration and sleep quality with physical activity (PA). In this cross-sectional study, participants were 894 elderly individuals (mean age 80 ± 3 years; 56.0% women) living in nursing homes. PA, sleep duration, and sleep quality (based on the Pittsburgh Sleep Quality Index (PSQI)) were self-reported. The associations of sleep duration and sleep quality with PA at the nursing home level were analyzed using generalized estimating equations with clustering. Participants reporting short sleep duration (<6 h; OR = 0.45; 95% CI 0.25–0.80) were less likely to report sufficient PA, yet those reporting long sleep duration (>9 h; OR = 2.61; 95% CI 1.35–5.02) and good sleep quality (<5 points; OR = 1.59; 95% CI 1.19–2.12) were more likely to report sufficient PA. When sleep duration and sleep quality were entered into the same model, the same associations remained. This study shows that elderly individuals who report short sleep duration are less likely to meet PA guidelines, while those who report long sleep duration and good sleep quality are more likely to meet PA guidelines. Strategies aiming to improve sleep duration and sleep quality are warranted.

Abstract P108: Habitual Short Sleep Duration Associated with Self-Reported and Objectively-Determined Cardiovascular and Metabolic Disease Risk Factors: Data from NHANES

Circulation ◽  
2014 ◽  
Vol 129 (suppl_1) ◽  
Author(s):  
Michael A Grandner ◽  
Subhajit Chakravorty ◽  
Michael Perlis ◽  
Linden Oliver ◽  
Indira Gurubhagavatula
Keyword(s):  
Food Security ◽  
Sleep Duration ◽  
Home Ownership ◽  
Elevated Risk ◽  
Outcome Variable ◽  
Cardiometabolic Health ◽  
Short Sleep Duration ◽  
Short Sleep ◽  
Long Sleep ◽  
Race Ethnicity

Background: Self-reported short and long sleep duration have been associated with adverse cardiometabolic health outcomes in laboratory and epidemiologic studies, but interpretation of such data has been limited by methodological issues. Methods: We analyzed adult 2007-2008 US National Health and Nutrition Examination Survey (NHANES) data (N=5,649). Average self-reported nightly sleep duration was reported and categorized as either very short (<5h), short (5-6h), normal (7-8h), or long (≥9h). Self-reported as well as objective evidence of obesity, diabetes, hypertension, and hyperlipidemia were recorded. Univariate comparisons were conducted across sleep duration categories for all variables. Binary logistic regression analyses were performed using cardiometabolic factor as the outcome variable, and sleep duration category as the predictor variable, before and after adjusting for age, sex, race/ethnicity, acculturation, education, access to insurance, food security, home ownership, smoking, and caffeine use. Results: See table. In adjusted analyses, very short sleep was associated with self-reported hypertension, self-reported hyperlipidemia, objective hyperlipidemia, self-reported diabetes, and objective obesity. Regarding short sleep (5-6hrs), in adjusted analyses, elevated risk was seen for self-reported hypertension self-reported obesity and objective obesity. Regarding long sleep (≥9hrs), no elevated risk was found for any outcomes. Conclusions: Very short and short sleep duration are associated with self-reported and objectively-determined adverse cardiometabolic outcomes, even after adjustment for covariates. Table 1. Unadjusted and Adjusted Odds Ratios (OR) and 95% Confidence Intervals (95%CI) of Associations between Sleep Duration and Cardiometabolic Disease Outcomes *Adjusted analyses include age, sex, race/ethnicity, acculturation, education, insurance, home ownership, food security, smoking, and caffeine

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 Income and Marital Status Interact on Obesity Among Black and White Men

2019 ◽  
Vol 13 (1) ◽  
pp. 155798831982995 ◽  
Author(s):  
Caryn N. Bell ◽  
Roland J. Thorpe
Keyword(s):  
Marital Status ◽  
Black Men ◽  
Low Income ◽  
Positive Association ◽  
White Men ◽  
Poverty Line ◽  
High Income ◽  
Never Married ◽  
Black And White ◽  
Increased Risk

Racial disparities in obesity among men are accompanied by positive associations between income and obesity among Black men only. Race also moderates the positive association between marital status and obesity. This study sought to determine how race, income, and marital status interact on obesity among men. Using data from the 2007 to 2014 National Health and Nutrition Examination Survey, obesity was measured as body mass index ≥30 kg/m2 among 6,145 Black and White men. Income was measured by percentage of the federal poverty line and marital status was categorized as currently, formerly, or never married. Using logistic regression and interaction terms, the associations between income and obesity were assessed by race and marital status categories adjusted for covariates. Black compared to White (OR = 1.19, 95% CI [1.03, 1.38]), currently married compared to never married (OR = 1.45, 95% CI [1.24, 1.69]), and high-income men compared to low income men (OR = 1.26, 95% CI [1.06, 1.50]) had higher odds of obesity. A three-way interaction was significant and analyses identified that income was positively associated with obesity among currently married Black men and never married White men with the highest and lowest probabilities of obesity, respectively. High-income, currently married Black men had higher obesity rates and may be at increased risk for obesity-related morbidities.

Sign in / Sign up

Export Citation Format

Share Document