scholarly journals 879Sleep Duration and all-cause and cause-specific mortality in people with diabetes

2021 ◽  
Vol 50 (Supplement_1) ◽  
Author(s):  
Yohannes Adama Melaku ◽  
Sarah Appleton ◽  
Amy Reynolds ◽  
Tiffany Gills ◽  
Robert Adams
Keyword(s):  
Sensitivity Analysis ◽  
Sleep Duration ◽  
Dose Response ◽  
Mortality Risk ◽  
The United States ◽  
Diabetic Patients ◽  
Short Sleep Duration ◽  
Short Sleep ◽  
Long Sleep ◽  
Specific Mortality

Abstract Background Evidence shows that habitual short and long sleep is associated with higher mortality risk in the general population. However, studies on the association between sleep duration and mortality in people with diabetes are scarce. Methods Data from the National Health Interview Survey (NHIS) of the United States (US) between 2004 and 2014 (N = 32,766) were used. Self-reported habitual sleep duration for those with self-reported doctor diagnosed diabetes was categorized as ≤ 6 hr (short sleep), 7-8 hr (adequate sleep), and ≥9 hr (long sleep). Mortality status and cause of death data were retrieved from the US National Death Index and linked. We used adjusted Cox proportional models to examine the association between sleep duration and mortality risk. Dose-response relationships were quantified. Sensitivity analysis was performed excluding cardiovascular and cancer cases. Results In the median follow-up time of 4.6 years (171,375.2 person-years), 5312 all-cause, 1129 cardiovascular, 1148 cancer and 494 diabetes deaths were recorded. Whereas short sleep duration (adjusted hazard ratio (aHR)=1.04; 95% confidence interval (CI): 0.97, 1.11) in diabetic patients was not associated with all-cause mortality, long sleep duration was positively (aHR=1.43; 95% CI: 1.30, 1.57) associated with increased mortality risk. A similar trend of association was found with cause-specific mortality and the dose-response analysis identified a “J” shape association. Similar results were found upon sensitivity analysis. Conclusions Long but not short sleep duration is associated with all-cause and cause-specific mortality in diabetic patients. Key messages Sleep should be part of behavioural intervention to prevent premature mortality in those with diabetics.

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 875Association between dietary inflammatory index and sleep duration

2021 ◽  
Vol 50 (Supplement_1) ◽  
Author(s):  
Yohannes Adama Melaku ◽  
Sarah Appleton ◽  
Amy Reynolds ◽  
Tiffany Gill ◽  
Robert Adams
Keyword(s):  
Sleep Duration ◽  
Multinomial Logistic Regression ◽  
The United States ◽  
Dietary Inflammatory Index ◽  
Nutrition Survey ◽  
Short Sleep Duration ◽  
Sampling Weights ◽  
Short Sleep ◽  
Inflammatory Index ◽  
Long Sleep

Abstract Background Diet and sleep are strongly and bidirectionally linked. This study aims to assess the association between dietary inflammatory index (DII) and sleep duration using the National Health and Nutrition Survey (NHANS) of the United States. Methods A total of 27,999 (median age 47 years, 48.6% male) participants were included. Dietary data were collected using 24-hour recall method and DII was calculated using 27 nutrients. Quantiles of DII were constructed (quantile 1, least inflammatory; quantile 5, most inflammatory). Self-reported habitual sleep duration was categorized as ≤ 6 hr (short sleep), ≥7 hr (normal/long sleep). We used log-binomial and multinomial logistic regression, adjusted for potential confounders, to examine the association between DII and short sleep duration. Sensitivity analysis was performed by excluding common chronic diseases. The analyses were adjusted using NHANES sampling weights. Results In the fully adjusted model, higher DII score was associated with shorter sleep duration [odds ratio (OR)quartile2vs1=1.04; 95% confidence interval (CI): 0.84-1.29; ORquartile3vs1=1.27; 95% CI: 1.06, 1.52; ORquartile4vs1=95% CI: 1.47; 95 CI: 1.25, 1.74; ORquartile5vs1=1.62; 95% CI: 1.33, 1.97; P for trend&lt;0.0001]. A similar trend of association was observed with long sleep duration and in both male and female participants. Participants in the fifth quantile, compared to those in the first, on average had 6 minutes (95% CI: 1, 11) less sleep. Conclusions Pro-inflammatory diet was positively associated with increased odds of short sleep duration. Key messages Patients with short sleep duration may benefit from avoiding pro-inflammatory foods. The association between DII and sleep duration could be bidirectional.

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 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

scholarly journals Bidirectional Associations between Short or Long Sleep Duration and Cognitive Function: the China Health and Retirement Longitudinal Study

2021 ◽  
Author(s):  
Jianian Hua ◽  
Hongpeng Sun ◽  
Qi Fang
Keyword(s):  
Longitudinal Study ◽  
Cognitive Function ◽  
Sleep Duration ◽  
Short Sleep Duration ◽  
Short Sleep ◽  
Bidirectional Association ◽  
Long Sleep ◽  
Global Cognition ◽  
Bidirectional Associations ◽  
Prospective Longitudinal

AbstractIMPORTANCEThe bidirectional association between sleep duration and cognitive function has not been conclusively demonstrated.OBJECTIVETo investigate the longitudinal association between sleep duration and cognitive function among middle-aged and elderly Chinese participants.Design, SETTING, AND PARTICIPANTSA national representative and prospective longitudinal study in China. 7984 participants aged 45 years and above were assessed at baseline between June 2011 and March 2012 (wave 1) and 2013 (wave 2), 2015 (wave 3) and 2018 (wave4).MAIN OUCOMES AND MEASURESSelf-reported nighttime sleep duration was evaluated by interview. Cognitive function was evaluated via assessments of global cognition, which reflected the ability of episodic memory, visuospatial construction, calculation, orientation and attention.ResultsRegarding the 7984 participants in wave 4, the mean (SD) age was 64.7 (8.4), 3862 (48.4) were male, and 6453 (80.7) lived in rural area. There were 14981, 11768 (78.6%), 10192 (68.0%), 7984 (53.3%) participants in the four waves of the study, respectively. Latent growth models showed both sleep duration and global cognition worsen over time. Cross-lagged models indicated that long or short sleep duration in the previous wave was associated lower global cognition in the next wave (standardized β=-0.066; 95%CI: −0.073, −0.059; P<0.001; Wave 1 to 2), and lower global cognition in the previous wave was associated with long or short sleep duration in the next wave (standardized β=-0.106; 95%CI: −0.116, −0.096; P<0.001; Wave 1 to 2). Global cognition was probably the major driver in this reciprocal associations.CONCLUSIONS AND REVELANCEThere were bidirectional associations between long or short sleep duration and cognitive function. Lower cognitive function had a stronger association with worse cognitive function than the reverse. A moderate sleep duration is always recommended. Moreover, attention should be paid on the declined cognition and cognitive therapy among older adults with short or long sleep duration.

Abstract MP073: Sleep Patterns and Depression in a Diverse Sample of Women from the AHA Go Red for Women Strategically Focused Research Network (SFRN)

Circulation ◽  
2017 ◽  
Vol 135 (suppl_1) ◽  
Author(s):  
Brooke Aggarwal ◽  
Ming Liao
Keyword(s):  
Depressive Symptoms ◽  
Sleep Quality ◽  
Sleep Duration ◽  
Minority Women ◽  
Poor Sleep ◽  
Sleep Patterns ◽  
Short Sleep Duration ◽  
Short Sleep ◽  
Long Sleep ◽  
Race Ethnicity

Background: Depression has been linked to increased risk of cardiovascular disease (CVD) through biological mechanisms and altered lifestyle behaviors, possibly including short and/or long sleep duration. However the relation between specific sleep components and depressive symptoms, and interaction by race/ethnicity has not been fully defined. The purpose of this study was to determine if sleep patterns including short sleep duration, poor sleep quality, and insomnia were associated with depressive symptoms in a free-living ethnically diverse population of adult women, and if they varied by racial/ethnic status. Methods: English or Spanish speaking females between the ages of 20-79 y, participating in an observational cohort study as part of the American Heart Association Go Red for Women SFRN, were included (n=50, 56% (28 of 50) non-white, mean age = 41 ±18y). Sleep patterns were assessed using the Pittsburgh Sleep Quality Index (PSQI), a validated instrument used to measure the quality and duration of sleep in adults. Presence of insomnia was measured using the Insomnia Severity Index (ISI). Depressive symptoms were assessed using the Beck Depression Inventory (BDI-II). Linear and logistic regression models were used to evaluate cross-sectional associations between sleep patterns and depression overall, and by race/ethnicity. Results: Overall, nearly one-fifth of participants had depressive symptoms (BDI II score ≤13), 18% (9 of 50) had short sleep duration (<6 hours per night), 38% (19 of 50) had poor quality sleep (PSQI score ≥5), and 40% (20 of 50) had some level of insomnia (ISI score ≥8). Mean BDI-II scores among women who slept <6 versus ≥6 hours were significantly greater (16 versus 5, p=.0003). Higher depression scores were associated with shorter sleep duration (p=.001), poorer sleep quality (p=.03), and higher insomnia severity (p<.0001) overall. There was no association between depression and long sleep (≥8 hours). When stratified by race/ethnicity, depression was significantly associated with poor sleep quality among minority women in multivariable models adjusted for demographic confounders (OR=1.42, 95% CI=1.03-1.95), but not among non-Hispanic white women. Depression was also significantly associated with insomnia severity (p<.001), and sleep duration (p=.03) among minority women only, in multivariable adjusted models stratified by race/ethnicity. Conclusions: In this diverse sample of women, sleep problems were highly prevalent. Poor sleep quality, insomnia, and short sleep duration (but not long sleep) were associated with greater depressive symptoms among minority women but not whites. These preliminary data suggest that minority women with short sleep duration may be at heightened CVD risk from depression. Future research should determine if interventions designed to improve sleep result in decreased depressive symptoms and reduced CVD risk.

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