scholarly journals Is Sleep Duration Associated with Biological Age (BA)?: Analysis of (2010–2015) South Korean NHANES Dataset South Korea

Author(s):  
Kyu-Tae Han ◽  
Dong Kim ◽  
Sun Kim

(1) Background: South Korea ranked worst in sleep duration compared to other countries, but there are no clear healthcare programs to guarantee sufficient sleep. Studies are needed to suggest evidence and arouse public awareness of the negative effects of abnormal sleep duration. In this study, we investigated the relationship between biological age (BA) and sleep duration. (2) Methods: We used data from the Korea National Health and Nutrition Examination Surveys (KNHANES V-VI; 2010–2015, which is an annually cross-sectional study including 29,309 participants). We performed multiple linear regression to investigate the associations between sleep duration and differences in BA and chronological age (CA). (3) Results: A total of 14.22% of respondents had short sleep duration (less than 6 h per day) and 7.10% of respondents had long sleep duration (more than 8 h per day). People with long sleep duration had a positive correlation with difference between BA and CA (>8 h per day, β = 1.308, p-value = 0.0001; ref = 6~8 h per day, normal). Short sleep duration had an inverse trend with the difference, although the result was not statically significant. Associations were greater in vulnerable populations, such as low income, obese, or people with chronic diseases. (4) Conclusions: Excess sleep duration that is greater than the normal range was associated with increased BA. In particular, such relationships that are related to worsening BA were greater in patients with low income, obesity, and chronic diseases. Based on our findings, healthcare professionals should also consider the negative effects of excess sleep, not only insufficient sleep. Alternatives for controlling optimal sleep duration should be reviewed, especially with vulnerable populations.

Author(s):  
Sizhi Ai ◽  
Jihui Zhang ◽  
Guoan Zhao ◽  
Ningjian Wang ◽  
Guohua Li ◽  
...  

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 < 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 < 0.001), and suggestive evidence for atrial fibrillation (P < 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.


Author(s):  
Lovro Štefan ◽  
Goran Vrgoč ◽  
Tomislav Rupčić ◽  
Goran Sporiš ◽  
Damir Sekulić

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.


Circulation ◽  
2014 ◽  
Vol 129 (suppl_1) ◽  
Author(s):  
Michael A Grandner ◽  
Subhajit Chakravorty ◽  
Michael Perlis ◽  
Linden Oliver ◽  
Indira Gurubhagavatula

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


2021 ◽  
Vol 50 (Supplement_1) ◽  
Author(s):  
Yohannes Adama Melaku ◽  
Sarah Appleton ◽  
Amy Reynolds ◽  
Tiffany Gills ◽  
Robert Adams

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.


2021 ◽  
Author(s):  
Jianian Hua ◽  
Hongpeng Sun ◽  
Qi Fang

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.


Circulation ◽  
2017 ◽  
Vol 135 (suppl_1) ◽  
Author(s):  
Brooke Aggarwal ◽  
Ming Liao

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.


2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
Timothy J. Cunningham ◽  
Anne G. Wheaton ◽  
Wayne H. Giles

Mental health and sleep are intricately linked. This study characterized associations of psychological distress with short (≤6 hours) and long (≥9 hours) sleep duration among adults aged ≥18 years. 2013 Behavioral Risk Factor Surveillance System data (n=36,859) from Colorado, Minnesota, Nevada, Tennessee, and Washington included the Kessler 6 (K6) scale, which has been psychometrically validated for measuring severe psychological distress (SPD); three specifications were evaluated. Overall, 4.0% of adults reported SPD, 33.9% reported short sleep, and 7.8% reported long sleep. After adjustment, adults with SPD had 1.58 (95% CI: 1.45, 1.72) and 1.39 (95% CI: 1.08, 1.79) times higher probability of reporting short and long sleep duration, respectively. Using an ordinal measure showed a dose-response association with prevalence ratios of 1.00, 1.16, 1.38, 1.67, and 2.11 for short sleep duration. Each additional point added to the K6 scale was associated with 1.08 (95% CI: 1.07, 1.10) and 1.02 (95% CI: 1.00, 1.03) times higher probability of reporting short and long sleep duration, respectively. Some results were statistically different by gender. Any psychological distress, not only SPD, was associated with a higher probability of short sleep duration but not long sleep duration. These findings highlight the need for interventions.


2018 ◽  
Vol 52 ◽  
pp. 82 ◽  
Author(s):  
Margareth Guimarães Lima ◽  
Marilisa Berti de Azevedo Barros ◽  
Maria Filomena Ceolim ◽  
Edilson Zancanella ◽  
Tânia Aparecida Marchiori de Oliveira Cardoso

OBJECTIVE: To evaluate, in a population-based approach, the association of extreme sleep duration with sociodemographic factors, health, and well-being. METHODS: We analyzed the data from the 2014/2015 Health Survey in the city of Campinas, State of São Paulo, Brazil (ISACamp), performed with 1,969 individuals (≥ 20 years old). Associations between the independent variable and short (≤ 6 hours) and long (≥ 9 hours) sleep were determined using the Rao-Scott chi-square test. The analyses were adjusted with multinomial logistic regression models. RESULTS: Men, individuals aged 40 to 59, those with higher schooling, those who have one (OR = 1.47, 95%CI 1.02–2.12), two (OR = 1.73, 95%CI 1.07–2.80), or three or more (OR = 1.62, 95%CI 1.16–2.28) chronic diseases, and those with three or more health problems (OR = 1.96, 95%CI 1.22–3.17) were more likely to have a short sleep. The chance of long sleep was higher in widowers and lower in those who have more years of schooling, with higher income, worked, lived with more residents at home, and reported three or more diseases (OR = 0.68, 95%CI 0.48–0.97) and health problems. The chance of either short (OR = 2.41, 95%CI 1.51–3.87) or long sleep (OR = 2.07, 95%CI 1.23–3.48) was higher in unhappy individuals. CONCLUSIONS: These findings highlight the higher chance of short sleep duration among men, among persons in productive age, and among those with a higher level of schooling in a Brazilian city. The association of short sleep with comorbidities and the association of happiness with extremes of sleep duration were also important results to understand the relation of sleep duration with health and well-being.


2020 ◽  
Vol 31 (12) ◽  
pp. 2937-2947 ◽  
Author(s):  
Sehoon Park ◽  
Soojin Lee ◽  
Yaerim Kim ◽  
Yeonhee Lee ◽  
Min Woo Kang ◽  
...  

BackgroundStudies have found sleeping behaviors, such as sleep duration, to be associated with kidney function and cardiovascular disease risk. However, whether short or long sleep duration is a causative factor for kidney function impairment has been rarely studied.MethodsWe studied data from participants aged 40–69 years in the UK Biobank prospective cohort, including 25,605 self-reporting short-duration sleep (<6 hours per 24 hours), 404,550 reporting intermediate-duration sleep (6–8 hours), and 35,659 reporting long-duration sleep (≥9 hours) in the clinical analysis. Using logistic regression analysis, we investigated the observational association between the sleep duration group and prevalent CKD stages 3–5, analyzed by logistic regression analysis. We performed Mendelian randomization (MR) analysis involving 321,260 White British individuals using genetic instruments (genetic variants linked with short- or long-duration sleep behavior as instrumental variables). We performed genetic risk score analysis as a one-sample MR and extended the finding with a two-sample MR analysis with CKD outcome information from the independent CKDGen Consortium genome-wide association study meta-analysis.ResultsShort or long sleep duration clinically associated with higher prevalence of CKD compared with intermediate duration. The genetic risk score for short (but not long) sleep was significantly related to CKD (per unit reflecting a two-fold increase in the odds of the phenotype; adjusted odds ratio, 1.80; 95% confidence interval, 1.25 to 2.60). Two-sample MR analysis demonstrated causal effects of short sleep duration on CKD by the inverse variance weighted method, supported by causal estimates from MR-Egger regression.ConclusionsThese findings support an adverse effect of a short sleep duration on kidney function. Clinicians may encourage patients to avoid short-duration sleeping behavior to reduce CKD risk.


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