scholarly journals Gender differences in the association between sleep duration and body mass index, percentage of body fat and visceral fat area among chinese adults: a cross-sectional study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Yaqi Fan ◽  
Li Zhang ◽  
Yuxue Wang ◽  
Chunjun Li ◽  
Binbin Zhang ◽  
...  

Abstract Background The relationship between sleep duration and anthropometric indices are still unclear. This study aimed to explore the association between sleep duration and body mass index (BMI), percentage of body fat (PBF) and visceral fat area (VFA) among Chinese adults, further to explore gender difference in it. Methods We analyzed part of the baseline data of a cohort study among adult attendees at two health-screening centers in China. Sleep duration was self-reported and categorized into short (< 7 h/day), optimal (7-9 h/day) and long sleep (≥ 9 h/day). BMI, PBF and VFA were assessed by bioelectric impedance analysis. Demographic characteristics, chronic diseases and medication history, physical activity, smoking and alcohol drinking behaviors were measured by an investigator-administrated questionnaire. Results A total of 9059 adult participants (63.08% were females) were included in the analysis. The participants aged from 19 to 91 years with the mean age of 45.0 ± 14.6 years. Short sleep was independently associated with elevated odds of general obesity (defined using BMI) and visceral obesity (defined using VFA) among the total study population, and gender differences were observed in these associations. Among women, short sleep was associated with 62% increased odds of general obesity (OR = 1.62, 95% CI: 1.24-2.12) and 22% increased odds of visceral obesity (OR = 1.22, 95% CI: 1.02-1.45). Among men, long sleep duration was associated with 21% decreased odds of visceral obesity (OR = 0.79, 95% CI: 0.64-0.99). No association was observed between sleep duration and PBF in both sexes. Conclusions Sleep duration was associated with increased odds of general and visceral obesity, and this association differed between men and women. No association was observed between sleep duration and PBF among either males or females.

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 &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.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Kyriaki Papantoniou ◽  
Gemma Castaño-Vinyals ◽  
Ana Espinosa ◽  
Michelle C. Turner ◽  
Vicente Martín-Sánchez ◽  
...  

AbstractSleep duration is a novel and potentially modifiable risk factor for cancer. We evaluated the association of self-reported sleep duration and daytime napping with odds of colorectal and gastric cancer. We included 2008 incident colorectal cancer cases, 542 gastric cancer cases and 3622 frequency-matched population controls, recruited in the MCC-Spain case–control study (2008–2013). Sleep information, socio-demographic and lifestyle characteristics were obtained through personal interviews. Multivariable adjusted logistic regression models were used to estimate odds ratios (OR) with 95% confidence intervals (CI) for cancer, across categories of sleep duration (≤ 5, 6, 7, 8, ≥ 9 hours/day), daytime napping frequency (naps/week) and duration (minutes/nap). Compared to 7 hours of sleep, long sleep was associated with increased odds of colorectal (OR≥9 hours: 1.59; 95%CI 1.30–1.94) and gastric cancer (OR≥9 hours: 1.95; 1.37–2.76); short sleep was associated with increased odds of gastric cancer (OR≤5 hours: 1.32; 0.93–1.88). Frequent and long daytime naps increased the odds of colorectal (OR6–7 naps/week, ≥30 min: 1.32; 1.14–1.54) and gastric cancer (OR6–7 naps/week, ≥30 min: 1.56; 1.21–2.02). Effects of short sleep and frequent long naps were stronger among participants with night shift-work history. Sleep and circadian disruption may jointly play a role in the etiology of colorectal and gastric cancer.


Author(s):  
Tapaswini Mishra ◽  
Dipti Mohapatra ◽  
Manasi Behera ◽  
Srimannarayan Mishra

ABSTRACTObjective: Adequate sleep has been considered important for the adolescent’s health and well-being. On the other hand, self-imposed sleepcurtailment is now recognized as a potentially important and novel risk factor for obesity. The objective of the study is to find the association betweenshort sleep duration and obesity (by calculating the body mass index [BMI]) among medical students.Methods: The study was conducted on 100 medical students. A brief history of sleep duration was taken. The height and weight were taken and thebody mass index (BMI) was calculated by formula weight in kg / height in m. Based on the BMI criteria the students were classified into six groups:Underweight, normal, overweight, obese class I, obese class II and obese III. The waist circumference (WC) was also taken. The data obtained werestatistically analysed by ANOVA test and the p < 0.5 was considered significant.2Results: The present cross-sectional study showed that there is an association between short sleep duration and obesity which was highly significant(p<0.001). This study also shows that there is an association between short sleep duration and waist circumference which was also highly significant(p<0.001).Conclusion: The present study observed a high association of short sleep duration among medical students of IMS and SUM Hospital and that shortsleep duration was significantly associated with increased risk of overweight and obesity. We should further investigate whether adults adopting ahealthy lifestyle with short sleep duration would improve their sleeping habits or not.Keywords: Sleep duration, Body mass index, Waist circumference, Obesity.


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


Circulation ◽  
2014 ◽  
Vol 129 (suppl_1) ◽  
Author(s):  
An Pan ◽  
Jian-Min Yuan ◽  
Woon-Puay Koh

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.


SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A315-A315
Author(s):  
C M Baldwin ◽  
D G Link ◽  
D W Coon ◽  
S F Quan

Abstract Introduction This work compares sleep knowledge of community-dwelling older adult men and women. Methods Data were derived from a community-based sleep training program that assessed pre- and post-test knowledge of obstructive sleep apnea (OSA), Insomnia, short sleep duration (SSD), restless leg syndrome (RLS), circadian rhythm disorders (CRD), and drowsy driving (DD) on a 1 (none) to 5 (great deal of knowledge) Likert-like scale. Data were analyzed with frequencies for age, sex, and sources of sleep information, and ANOVA to determine gender differences using SPSS (V24) with significance set at p&lt;.05. Results Participants (N=158; 68% women) were 56 years and older residing in a retirement community. Pre-test means±standard deviations showed women versus men had greater knowledge of Insomnia (3.5±1.3 vs. 2.9±1.0, p=.004) whereas men showed more knowledge of DD (3.2±1.1 vs. 2.6±1.3, p=.01). A trend was noted for women to have greater knowledge of SSD (3.6±1.2 vs. 3.2±1.0, p=.05). Post-test ANOVA showed a further increase in Insomnia knowledge for women versus men (4.4±0.8 vs. 4.1±0.7, p=.04); however, overall pre/post-test scores for each of the sleep disorders across men and women increased significantly at the p&lt;.001 level. Notably, more women to men reported accessing various resources for sleep information: newspapers/magazines (46:7), friends/family (29:9), the internet (25:11), TV (37:7), and physicians/nurses (45:20). Conclusion Findings indicate, prior to sleep training, women have greater knowledge of insomnia and short sleep duration, while men have more knowledge of drowsy driving. Women’s greater understanding of insomnia persists even after sleep training; however, pre- to post-test scores for both sexes across sleep disorders show significant learning outcomes. One possible reason for women’s greater knowledge of insomnia and short sleep could be their greater likelihood to access information on health and healthy lifestyle factors, including sleep, as well as their greater health care utilization. Support N/A


2018 ◽  
Vol 38 (11) ◽  
pp. 404-418 ◽  
Author(s):  
Vicky C. Chang ◽  
Jean-Philippe Chaput ◽  
Karen C. Roberts ◽  
Gayatri Jayaraman ◽  
Minh T. Do

Introduction Sleep is essential for both physical and mental well-being. This study investigated sociodemographic, lifestyle/behavioural, environmental, psychosocial and health factors associated with sleep duration among Canadians at different life stages. Methods We analyzed nationally representative data from 12 174 Canadians aged 3–79 years in the Canadian Health Measures Survey (2009–2013). Respondents were grouped into five life stages by age in years: preschoolers (3–4), children (5–13), youth (14–17), adults (18–64) and older adults (65–79). Sleep duration was classified into three categories (recommended, short and long) according to established guidelines. Logistic regression models were used to identify life stage–specific correlates of short and long sleep. Results The proportion of Canadians getting the recommended amount of sleep decreased with age, from 81% of preschoolers to 53% of older adults. Statistically significant factors associated with short sleep included being non-White and having low household income among preschoolers; being non-White and living in a lone-parent household among children; and second-hand smoke exposure among youth. Boys with a learning disability or an attention-deficit/hyperactivity disorder and sedentary male youth had significantly higher odds of short sleep. Among adults and older adults, both chronic stress and arthritis were associated with short sleep. Conversely, mood disorder and poor/fair self-perceived general health in adults and weak sense of community belonging in adults and older men were associated with long sleep. Conclusion Our population-based study identified a wide range of factors associated with short and long sleep at different life stages. This may have implications for interventions aimed at promoting healthy sleep duration.


Nutrients ◽  
2020 ◽  
Vol 12 (7) ◽  
pp. 2103 ◽  
Author(s):  
Jing Sun ◽  
Hong Jiang ◽  
Weijing Wang ◽  
Xue Dong ◽  
Dongfeng Zhang

Current evidence on the relationship of phytoestrogens with sleep is limited and contradictory. In particular, studies on individual phytoestrogens and sleep have not been reported. Thus, this study aimed to appraise the associations of individual phytoestrogens with sleep disorders and sleep duration. This cross-sectional study comprising 4830 adults utilized data from the National Health and Nutrition Examination Survey 2005–2010. Phytoestrogens were tested in urine specimens. Sleep disorders and sleep duration were based on a self-reported doctor’s diagnosis and usual sleep duration. The main analyses utilized logistic and multinomial logistic regression models and a restricted cubic spline. In the fully adjusted model, compared with tertile 1 (lowest), the odds ratios (95% confidence intervals (CIs)) of sleep disorders for the highest tertile of urinary concentrations of enterolactone, enterodiol, and O-desmethylangolensin were 0.64 (0.41–1.00), 1.54 (1.07–2.21), and 1.89 (1.26–2.85), respectively. Linear inverse, approximatively linear positive, and inverted L-shaped concentration–response relationships were found between enterolactone, enterodiol, and O-desmethylangolensin and sleep disorders, respectively. Compared with normal sleep (7–8 h/night), the relative risk ratio (RRR) (95% CI) of very short sleep for enterolactone was 0.56 (0.36–0.86), and the RRR (95% CI) of long sleep risk for genistein was 0.62 (0.39–0.99). Furthermore, negative associations of genistein with sleep disorders and enterolactone with long sleep risk, as well as positive associations of enterodiol with both long and very short sleep, were observed in the stratified analysis by age or gender. Finally, a notable finding was that urinary O-desmethylangolensin concentration was positively related to sleep disorders in both females aged 40–59 years and non-Hispanic Whites but inversely associated with sleep disorders in both females aged 60 years or over and other Hispanics. Our findings suggested that enterolactone and genistein might be beneficial for preventing sleep disorders or non-normal sleep duration among adults, and enterodiol might be adverse toward this goal. However, the association of O-desmethylangolensin with sleep disorders might be discrepant in different races and females of different ages.


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