Sleep Duration and Cardiovascular Disease Risk

Covassin, Naima; Singh, Prachi

doi:10.1016/j.jsmc.2015.10.007

Cited by 213 publications

(107 citation statements)

References 87 publications

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“…Sleep deprivation and sleep disruptions may cause severe cognitive and emotional problems [32,33]. Previous studies reported that inadequate sleep duration caused heightened cardiovascular risk, cerebrovascular disease, psychiatric disorders, and obesity [34][35][36][37].…”

Section: Discussionmentioning

confidence: 99%

Prevalence of Suboptimal Health Status and the Relationships between Suboptimal Health Status and Lifestyle Factors among Chinese Adults Using a Multi-Level Generalized Estimating Equation Model

Zhu

2020

IJERPH

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This study examined the prevalence of suboptimal health among Chinese adults based on a large-scale national survey and clarified the relationship between suboptimal health and lifestyle factors. We used multi-level generalized estimating equation models to examine the relationships between suboptimal health and lifestyle factors. Of the 48,978 respondents, 34,021 reported one or more suboptimal health symptoms, giving a suboptimal health status prevalence of 69.46%. After controlling for the cluster effect of living areas and confounding effect of demographic characteristics, factors associated with suboptimal health were: current smoking (odds ratio (OR) = 1.083, 95% confidence interval (CI): 1.055-1.111), drinking alcohol (OR = 1.075, 95% CI: 1.025-1.127), family history of disease (OR = 1.203, 95% CI: 1.055-1.111), sleeping <6 h per day (OR = 1.235, 95% CI: 1.152-1.256), poor sleep quality (OR = 1.594, 95% CI: 1.515-1.676), stress (OR = 1.588, 95% CI: 1.496-1.686), negative life events (OR = 1.114, 95% CI: 1.045-1.187), unhealthy diet choices (OR = 1.093, 95% CI: 1.033-1.156), and not regularly having meals at fixed hours (OR = 1.231, 95% CI: 1.105-1.372). Respondents who exercised regularly had lower odds of having suboptimal health status (OR = 0.913, 95% CI: 0.849-0.983). Suboptimal health has become a serious public health challenge in China. The health status of the population could be effectively improved by improving lifestyle behaviors.

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Section: Discussionmentioning

confidence: 99%

Prevalence of Suboptimal Health Status and the Relationships between Suboptimal Health Status and Lifestyle Factors among Chinese Adults Using a Multi-Level Generalized Estimating Equation Model

Zhu

2020

IJERPH

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“…16 Possible explanations for the decreases in sleep duration include environment lighting, new technologies, and for adults, long working hours. 17 …”

Section: Epidemiology Of Sleep Durationmentioning

confidence: 99%

The epidemiology of sleep and obesity

2017

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Sleep is a state of consciousness that is preserved across animal species whose exact function is not yet clear but which has a vital impact on health and well-being. Epidemiological evidence suggests sleep duration in both children and adults has been decreasing over the past half-century, while at the same time, rates of overweight and obesity have been increasing. Short sleep duration along with other dimensions of poor sleep have been associated with obesity both cross-sectionally and longitudinally. These data suggest a potential causal relationship between poor sleep and greater rates of weight gain that may be related to effects of sleep on dietary intake or physical activity. However, there is also potential for reverse causation as obesity leads to many co-morbidities including sleep apnea that can disrupt sleep. Medium and long term interventional studies are needed to evaluate the potential for healthy sleep interventions to help combat the epidemic of obesity.

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“…A growing body of evidence has shown that (short or long) sleep duration [1,4–17], sleep disturbances [1,9,18] and obstructive sleep apnea (OSA) [19–26] may predict all-cause [1,9–19,21–25,27–31], cardiovascular- [1,4,10,13,16,17,19,24,29], cancer- [1,16,17,24,30] and dementia-specific [6] mortality rates. Although there are distinct definitions for sleep duration, most studies examining short [1,6,9–11,16 ] or long sleep [5,11,13,15,32] as risk factors for all-cause or cause-specific mortality rates have considered 7–8 h as the optimal range for sleep duration [33–36]. A recently published review identified 42 cohort studies that provided evidence for an inconsistently U-shaped relationship between sleep duration and mortality rate [14].…”

Section: Introductionmentioning

confidence: 99%

Sex and age differences in the associations between sleep behaviors and all-cause mortality in older adults: results from the National Health and Nutrition Examination Surveys

Beydoun

Chen

et al. 2017

Sleep Medicine

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Objective Our aim was to examine sex- and age-specific relationships of sleep behaviors with all-cause mortality rates. Methods A retrospective cohort study was conducted among 5288 adults (≥50 years) from the 2005–2008 National Health and Nutrition Examination Surveys who were followed-up for 54.9 ± 1.2 months. Sleep duration was categorized as < 7 h, 7—8 h and >8 h. Two sleep quality indices were generated through factor analyses. ‘Help-seeking behavior for sleep problems’ and ‘diagnosis with sleep disorders’ were defined as yes/no questions. Sociodemographic covariates-adjusted Cox regression models were applied to estimate hazard ratios (HRs) and 95% confidence intervals (CIs). Results A positive relationship was observed between long sleep and all-cause mortality rate in the overall sample (HR = 1.90, 95% CI: 1.38, 2.60), among males (HR = 1.48, 95% CI: 1.05, 2.09), females (HR = 2.32, 95% CI: 1.48, 3.61) and elderly (≥65 years) people (HR = 1.80, 95% CI: 1.30, 2.50). ‘Sleepiness/sleep disturbance’ (Factor I) and all-cause mortality rate were positively associated among males (HR = 1.22, 95% CI: 1.03,1.45), whereas ‘poor sleep-related daytime dysfunction’ (Factor II) and all-cause mortality (HR = 0.75, 95% CI: 0.62, 0.91) were negatively associated among elderly people. Conclusions Sex- and age-specific relationships were observed between all-cause mortality rate and specific sleep behaviors among older adults.

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Sleep Duration and Cardiovascular Disease Risk

Cited by 213 publications

References 87 publications

Prevalence of Suboptimal Health Status and the Relationships between Suboptimal Health Status and Lifestyle Factors among Chinese Adults Using a Multi-Level Generalized Estimating Equation Model

Prevalence of Suboptimal Health Status and the Relationships between Suboptimal Health Status and Lifestyle Factors among Chinese Adults Using a Multi-Level Generalized Estimating Equation Model

The epidemiology of sleep and obesity

Sex and age differences in the associations between sleep behaviors and all-cause mortality in older adults: results from the National Health and Nutrition Examination Surveys

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