Short and long sleep are positively associated with obesity, diabetes, hypertension, and cardiovascular disease among adults in the United States

Brigham and Women's Hospital, Department of Medicine, Harvard Medical School, Division of Sleep Medicine, BLI-438, 221 Longwood Avenue, Boston, MA 02115, United States.
Social Science [?] Medicine (Impact Factor: 2.89). 09/2010; 71(5):1027-36. DOI: 10.1016/j.socscimed.2010.05.041
Source: PubMed


Research associates short (and to a lesser extent long) sleep duration with obesity, diabetes, and cardiovascular disease; and although 7-8 h of sleep seems to confer the least health risk, these findings are often based on non-representative data. We hypothesize that short sleep (<7 h) and long sleep (>8 h) are positively associated with the risk of obesity, diabetes, hypertension, and cardiovascular disease; and analyze 2004-2005 US National Health Interview Survey data (n=56,507 observations, adults 18-85) to test this. We employ multilevel logistic regression, simultaneously controlling for individual characteristics (e.g., ethnoracial group, gender, age, education), other health behaviors (e.g., exercise, smoking), family environment (e.g., income, size, education) and geographic context (e.g., census region). Our model correctly classified at least 76% of adults on each of the outcomes studied, and sleep duration was frequently more strongly associated with these health risks than other covariates. These findings suggest a 7-8 h sleep duration directly and indirectly reduces chronic disease risk.

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    • "Adequate sleep has been touted as a critical component of optimal health (Colten and Altevogt, 2006). Individuals attaining adequate or sufficient sleep have been shown to have better cardio-metabolic profiles (Grandner et al., 2012; Cappuccio et al., 2011), functional capacity (Brimah et al., 2013), lower risk of overweight or obesity and death (Jean-Louis et al., 2014; Buxton and Marcelli, 2010; Kripke et al., 2002), compared to individuals experiencing inadequate or insufficient sleep. In spite of the well-documented benefits of adequate sleep for overall health, many US adults do not meet the recommended 7–8 h of sleep at night (Perry et al., 2013). "
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    ABSTRACT: Abstract Background Exposure to the natural environment may improve health behaviors and mental health outcomes such as increased levels of physical activity and lower levels of depression associated with sleep quality. Little is known about the relationship between insufficient sleep and the natural environment. Purpose To determine whether exposure to attributes of the natural environment (e.g., greenspace) attenuates the likelihood of reporting insufficient sleep among US adults. Methods Multiple logistic regression models were used to explore the association between self-reported days of insufficient sleep (in the past 30 days) and access to the natural environment in a multi-ethnic, nationally representative sample (n = 255,171) of US adults ≥ 18 years of age enrolled in the 2010 Behavioral Risk Factor Surveillance System. Results Using 1-to-6 days of insufficient sleep as the referent group for all analyses, lower odds of exposure to natural amenities were observed for individuals reporting 21-to-29 days (OR = 0.843, 95% confidence interval (CI) = 0.747, 0.951) of insufficient sleep. In stratified analyses, statistically significant lower odds of exposure to natural amenities were found among men reporting 7-to-13-days (OR = 0.911, 95% CI = 0.857, 0.968), 21-to-29-days (OR = 0.838, 95% CI = 0.759, 0.924), and 30-days (OR = 0.860, 95% CI = 0.784, 0.943) of insufficient sleep. Greenspace access was also protective against insufficient sleep for men and individuals aged 65 +. Conclusions In a representative sample of US adults, access to the natural environment attenuated the likelihood of reporting insufficient sleep, particularly among men. Additional studies are needed to examine the impact of natural environment exposure on sleep insufficiency across various socio-demographic groups.
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    • "The consequences are well-known. A non-exhaustive list of medical conditions positively correlated with sleep disturbances includes: obesity, diabetes, hypertension, cardiovascular disease, stroke, impaired immune function, mental issues, early mortality etc [3] [20]. It is not just a problem of well-being, but rather an economic issue in industrialized countries [16]. "
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    ABSTRACT: Sleep disorders affect approximately 30% of the adult population , due to this fact, it is considered an important public health issue. Some medical conditions are correlated with sleep disturbances, including: obesity, diabetes, cardiovascu-lar disease, hyperactivity disorder and early mortality. The current mainstream sleep disorder detection and assessment method, the laboratory polysomnography, is very expensive and inconvenient for patients who are extracted from their own sleep-environment. Aiming to avoid the high costs and to perform an assessment in loco, we present in this paper a non-invasive sleep-environment monitoring system in order to aid the detection of environmental factors that may be contributing to poor sleep. The stand-alone device was designed in order to provide robustness, scalability and us-ability to a completely built-in sleep assessment system. We highlight that the main goal of this in-home device is to give more accurate information to physicians and technical staff, assisting in the screening process, reducing costs and helping to improve the well-being of people with sleep disorders. Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit Keywords Sleep-environment monitoring, sleep assessment, non-invasive monitoring system, in-home sleep monitoring.
    PErvasive Technologies Related to Assistive Environments, Greece; 07/2015
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    • "10 [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] "
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    ABSTRACT: The present study aims to determine the prevalence of self-reported sleep duration and sleep habits and their associated factors in patients with type 2 diabetes in Trinidad. This was a cross-sectional multicenter study. There were 291 patients with type 2 diabetes studied. Sleep habits were assessed using the Epworth Sleepiness Scale (ESS) and the National Health and Nutrition Examination Survey sleep disorder questionnaire. Demographic, anthropometric and biochemical data were also collected. The sample had a mean age of 58.8years; 66.7% were female. The mean BMI was 28.9kg/m(2). The prevalence of Excessive Daytime Sleepiness (EDS) was 11.3%. The prevalence of patients with short sleep (⩽6h) was 28.5%. The prevalence of patients with poor sleep was 63.9%. Poor sleep was associated with age, intensive anti-diabetic treatment and longer duration of diabetes. Short sleep was associated with intensive anti-diabetic treatment and BMI, while EDS was associated with increased BMI. In a sample of patients with type 2 diabetes, a high prevalence of self-reported sleep duration and unhealthy sleep habits was found. There needs to be an increased awareness of sleep conditions in adults with type 2 diabetes by doctors caring for these patients. Copyright © 2015. Published by Elsevier Ltd.
    06/2015; DOI:10.1016/j.jegh.2015.05.003
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