Knutson KL. Sleep duration and cardiometabolic risk: a review of the epidemiologic evidence. Best Pract Res Clin Endocrinol Metab 24, 731-743

Section of Pulmonary/Critical Care, Department of Medicine, University of Chicago, 5841 S Maryland Ave MC 6076, Chicago, IL 60622, USA.
Best Practice & Research: Clinical Endocrinology & Metabolism (Impact Factor: 4.6). 10/2010; 24(5):731-43. DOI: 10.1016/j.beem.2010.07.001
Source: PubMed


Laboratory studies have found that short-term sleep restriction is associated with impairments in glucose metabolism, appetite regulation and blood pressure regulation. This chapter reviews the epidemiologic evidence for an association between habitual sleep duration and quality and risk of cardiometabolic diseases including obesity, diabetes and hypertension. Multiple studies observed a cross-sectional association between short sleep duration (generally <6 h per night) and increased body mass index or obesity, prevalent diabetes and prevalent hypertension. Many studies also reported an association between self-reported long sleep duration (generally >8 h per night) and cardiometabolic disease. There have been a few prospective studies and several, but not all, have found an association between short sleep and incident diabetes, hypertension and markers of cardiovascular disease. Future prospective epidemiologic studies need to include objective measures of sleep, and intervention studies are needed in order to establish a causal link between impaired or insufficient sleep and cardiometabolic disease risk.

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    • "Des données plus récentes montrent que l'exercice physique est bénéfique pour la prévention de la douleur, le moral et la qualité du sommeil [1] [2]. Le manque de sommeil est en effet un facteur de risque associé dans les maladies chroniques modernes, la dépression et le risque d'accidents [3] [4]. Dormir 7 à 8 heures a été systématiquement trouvé associé à un risque moindre de morbidité et de mortalité [5]. "
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    • "Studies frequently demonstrate that shorter (e.g., <6 hours/night) and longer (e.g., >8 hours/night) sleep durations, sleep quality complaints (e.g., frequently waking up, trouble initiating or maintaining sleep), and greater daytime sleepiness are associated with poorer mental and physical health (Cappuccio et al. 2010; Duncan et al. 2014; Empana et al. 2009; Holliday et al. 2013). Sleep is known to have a direct influence on health and to also operate through a combination of behavioral, metabolic, and hormonal factors to influence health and lifestyle behaviors (Grandner et al. 2010; Knutson 2010). For example, lack of sleep alters hormonal factors, which in turn lead to increased energy intake, preference for energy dense foods and poorer dietary quality (Chaput 2014). "
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    ABSTRACT: Aim This study examines associations between the variability in bed/rise times, usual bed/rise time and dietary quality, physical activity, alcohol consumption, sitting time, sleep insufficiency and a composite index of behaviors. Subject and methods A random sample of Australian adults drawn from an online Panel cohort in 2013 completed a cross-sectional online survey. A total of 1,317 participants, median age 57 (IQR = 20) completed the survey. Bed- and wake times, variability in bed- and wake-times, dietary quality, physical activity, alcohol consumption, sitting time, sleep insufficiency and socio-demographics were assessed using a questionnaire. Associations were examined with generalized linear models. Results Having bed - times that varied by >30 min were associated with lower dietary quality, higher alcohol consumption, higher sitting time, more frequent insufficient sleep and poorer overall pattern of lifestyle behaviors. Greater variability in wake times, usual bed times and usual wake times were inconsistently associated with lifestyle behaviours. Conclusions Greater bed-time variability is associated with a less healthy pattern of lifestyle behaviors. Greater consistency in sleep timing may contribute to, or be reflective of, a healthier lifestyle.
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    • "Night or rotating shifts and other irregular schedules affect sleep quality and quantity, with important physiological and behavioral consequences: fatigue, chronic health problems, altered metabolism, increased risk of injury, and disruption of family and social routines. Insufficient sleep has been correlated with changes in appetite/satiety regulation, metabolism , and insulin sensitivity, as well as a reduction in available energy to engage in physical activity (Knutson, 2010). Epidemiologically, shiftwork has been linked to metabolic syndrome (Tucker, Marquié, Folkard, Ansiau, & Esquirol, 2012) and short sleep with overweight status (Gildner, Liebert, Kowal, Chatterji, & Snodgrass, 2014). "
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    ABSTRACT: The rising U.S. prevalence of obesity has generated significant concern and demonstrates striking socioeconomic and racial/ethnic disparities. Most interventions target individual behaviors, sometimes in combination with improving the physical environment in the community but rarely involving modifications of the work environment. With 3.6 million workers earning at or below the federal minimum wage, it is imperative to understand the impact of working conditions on health and weight for lower income workers. To investigate this question, a university-community partnership created a participatory research team and conducted eight focus groups, in English and Spanish, with people holding low-wage jobs in various industries. Analysis of transcripts identified four themes: physically demanding work (illnesses, injuries, leisure-time physical activity), psychosocial work stressors (high demands, low control, low social support, poor treatment), food environment at work (available food choices, kitchen equipment), and time pressure (scheduling, having multiple jobs and responsibilities). Physical and psychosocial features of work were identified as important antecedents for overweight. In particular, nontraditional work shifts and inflexible schedules limited participants' ability to adhere to public health recommendations for diet and physical activity. Workplace programs to address obesity in low-wage workers must include the effect of working conditions as a fundamental starting point. © 2015 Society for Public Health Education.
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