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Circadian Rhythms, Metabolism, and Chrononutrition in Rodents and Humans.
Johnston, JD, Ordovás, JM, Scheer, FA, Turek, FW
Advances in nutrition (Bethesda, Md.). 2016;7(2):399-406
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Chrononutrition is an emerging field that links the body’s metabolism to its endogenous circadian rhythm. It is now recognised that numerous circadian clocks are found within all major tissues and most cells of the body. This complex network of clocks influences a wide range of biological processes including neuronal, endocrine, metabolic and behavioural function. When there is a disruption in a single circadian clock, whole-organism homeostasis can be impacted, potentially resulting in the development of disease. This review explains the potential mechanisms by which circadian clocks influence biological processes through transgenic animal studies, and how they are being translated to human genetics and metabolomics. The principles of chrononutrition are clinically significant factors that should be considered when managing and treating metabolic disease, as well as maintaining health in the general population.
Abstract
Chrononutrition is an emerging discipline that builds on the intimate relation between endogenous circadian (24-h) rhythms and metabolism. Circadian regulation of metabolic function can be observed from the level of intracellular biochemistry to whole-organism physiology and even postprandial responses. Recent work has elucidated the metabolic roles of circadian clocks in key metabolic tissues, including liver, pancreas, white adipose, and skeletal muscle. For example, tissue-specific clock disruption in a single peripheral organ can cause obesity or disruption of whole-organism glucose homeostasis. This review explains mechanistic insights gained from transgenic animal studies and how these data are being translated into the study of human genetics and physiology. The principles of chrononutrition have already been demonstrated to improve human weight loss and are likely to benefit the health of individuals with metabolic disease, as well as of the general population.
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Short sleep duration and dietary intake: epidemiologic evidence, mechanisms, and health implications.
Dashti, HS, Scheer, FA, Jacques, PF, Lamon-Fava, S, Ordovás, JM
Advances in nutrition (Bethesda, Md.). 2015;6(6):648-59
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Short sleep duration is associated with various cardio-metabolic parameters that contribute to chronic disease. While the underlying mechanism is multifactorial, the link may be mediated through changes in dietary intake. This review provides an overview of the relationship between chronic short sleep duration and dietary intake. This review indicates that short sleep duration is associated with higher total caloric intake, higher fat intake and diets with relatively higher fat and lower protein composition. Further epidemiological studies are required to better establish the relationship between chronic short sleep and dietary patterns, and improvements in sleep should be an added factor in weight management programmes.
Abstract
Links between short sleep duration and obesity, type 2 diabetes, hypertension, and cardiovascular disease may be mediated through changes in dietary intake. This review provides an overview of recent epidemiologic studies on the relations between habitual short sleep duration and dietary intake in adults from 16 cross-sectional studies. The studies have observed consistent associations between short sleep duration and higher total energy intake and higher total fat intake, and limited evidence for lower fruit intake, and lower quality diets. Evidence also suggests that short sleepers may have irregular eating behavior deviating from the traditional 3 meals/d to fewer main meals and more frequent, smaller, energy-dense, and highly palatable snacks at night. Although the impact of short sleep duration on dietary intake tends to be small, if chronic, it may contribute to an increased risk of obesity and related chronic disease. Mechanisms mediating the associations between sleep duration and dietary intake are likely to be multifactorial and include differences in the appetite-related hormones leptin and ghrelin, hedonic pathways, extended hours for intake, and altered time of intake. Taking into account these epidemiologic relations and the evidence for causal relations between sleep loss and metabolism and cardiovascular function, health promotion strategies should emphasize improved sleep as an additional factor in health and weight management. Moreover, future sleep interventions in controlled studies and sleep extension trials in chronic short sleepers are imperative for establishing whether there is a causal relation between short sleep duration and changes in dietary intake.
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Multiple risk-behavior profiles of smokers with serious mental illness and motivation for change.
Prochaska, JJ, Fromont, SC, Delucchi, K, Young-Wolff, KC, Benowitz, NL, Hall, S, Bonas, T, Hall, SM
Health psychology : official journal of the Division of Health Psychology, American Psychological Association. 2014;33(12):1518-29
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Individuals with serious mental illness (SMI) are at greater risk for chronic disease, which are largely preventable through health behaviour change. Within this population tobacco use is a major health concern and recent trials have demonstrated treating tobacco dependence supports mental health recovery. As risk behaviours tend to co-occur, the aim of this study was to examine the behavioural risk profiles of adult smokers with SMI to further understand frequencies and patterns of risks in order to best inform interventional programmes. In the context of a tobacco-treatment trial, 693 adult smokers from inpatient psychiatry wards were recruited. The Staging Health Risk Assessment was used which screens for risk status and readiness to change 11 health behaviours. The findings of this study showed that most smokers with SMI engage in multiple risks including poor diet, inadequate sleep, physical inactivity and marijuana use. This study can help prioritise health intervention programme targets and provide further benefit for this population.
Abstract
OBJECTIVE Individuals with serious mental illness (SMI) are dying on average 25 years prematurely. The leading causes are chronic preventable diseases. In the context of a tobacco-treatment trial, this exploratory study examined the behavioral risk profiles of adults with SMI to identify broader interventional needs. METHOD Recruited from five acute inpatient psychiatry units, participants were 693 adult smokers (recruitment rate = 76%, 50% male, 45% Caucasian, age M = 39, 49% had income < $10,000) diagnosed with mood disorders (71%), substance-use disorders (63%), posttraumatic stress disorder (39%), psychotic disorders (25%), and attention deficit-hyperactivity disorder (25%). The Staging Health Risk Assessment, the primary measure used in this study, screened for risk status and readiness to change 11 health behaviors, referencing the period prior to acute hospitalization. RESULTS Participants averaged 5.2 (SD = 2.1) risk behaviors, including smoking (100%), high-fat diet (68%), inadequate fruits/vegetables (67%), poor sleep (53%), physical inactivity (52%), and marijuana use (46%). The percent prepared to change ranged from 23% for tobacco and marijuana to 76% for depression management. Latent class analysis differentiated three risk groups: the global higher risk group included patients elevated on all risk behaviors; the global lower risk group was low on all risks; and a mood and metabolic risk group, characterized by inactivity, unhealthy diet, sleep problems, and poor stress and depression management. The global higher risk group (11% of sample) was younger, largely male, and had the greatest number of risk behaviors and mental health diagnoses; had the most severe psychopathologies, addiction-treatment histories, and nicotine dependence; and the lowest confidence for quitting smoking and commitment to abstinence. CONCLUSION Most smokers with SMI engaged in multiple risks. Expanding targets to treat co-occurring risks and personalizing treatment to individuals' multibehavioral profiles may increase intervention relevance, interest, and impact on health.
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Sleep restriction increases the neuronal response to unhealthy food in normal-weight individuals.
St-Onge, MP, Wolfe, S, Sy, M, Shechter, A, Hirsch, J
International journal of obesity (2005). 2014;38(3):411-6
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Sleep patterns influence eating behaviour and the body’s response to food. Previous studies suggest that short sleep duration leads to increased caloric intake and a desire for high-fat foods, however the specific neural mechanisms explaining how sleep restriction modulates this response is unknown. The aim of this study was to determine whether a specific area of the brain is activated in response to unhealthy compared with healthy foods. 25 participants were included, all of which were normal weight and had normal sleeping patterns. Each participant was tested after five nights of either 4 or 9 hours in bed by functional magnetic resonance imaging (fMRI). The test was performed while the participant was shown healthy and unhealthy food photos in the fasted state. This study found that after a period of restricted sleep compared with habitual sleep, unhealthy foods led to greater activation in brain regions associated with reward compared with healthy foods. This finding provides a model of neuronal mechanisms relating short sleep duration to obesity and cardio-metabolic risk factors and warrants further investigation.
Abstract
CONTEXT Sleep restriction alters responses to food. However, the underlying neural mechanisms for this effect are not well understood. OBJECTIVE The purpose of this study was to determine whether there is a neural system that is preferentially activated in response to unhealthy compared with healthy foods. PARTICIPANTS Twenty-five normal-weight individuals, who normally slept 7-9 h per night, completed both phases of this randomized controlled study. INTERVENTION Each participant was tested after a period of five nights of either 4 or 9 h in bed. Functional magnetic resonance imaging (fMRI) was performed in the fasted state, presenting healthy and unhealthy food stimuli and objects in a block design. Neuronal responses to unhealthy, relative to healthy food stimuli after each sleep period were assessed and compared. RESULTS After a period of restricted sleep, viewing unhealthy foods led to greater activation in the superior and middle temporal gyri, middle and superior frontal gyri, left inferior parietal lobule, orbitofrontal cortex, and right insula compared with healthy foods. These same stimuli presented after a period of habitual sleep did not produce marked activity patterns specific to unhealthy foods. Further, food intake during restricted sleep increased in association with a relative decrease in brain oxygenation level-dependent (BOLD) activity observed in the right insula. CONCLUSION This inverse relationship between insula activity and food intake and enhanced activation in brain reward and food-sensitive centers in response to unhealthy foods provides a model of neuronal mechanisms relating short sleep duration to obesity.
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Timing of food intake predicts weight loss effectiveness.
Garaulet, M, Gómez-Abellán, P, Alburquerque-Béjar, JJ, Lee, YC, Ordovás, JM, Scheer, FA
International journal of obesity (2005). 2013;37(4):604-11
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As obesity is a multifactorial disease, dietary interventions must take into account a range of physiological and psychological variables. There is emerging evidence linking energy regulation to the circadian clock, emphasizing that the timing of eating may play a role in weight regulation. The aim of this study was to evaluate the role of food timing in weight loss effectiveness among 420 overweight or obese participants during a 20-week weight loss treatment. Participants were grouped as either early or late eaters for consuming their main meal, and their energy intake, expenditure, appetite hormones, CLOCK genotype, sleep duration and chronotype were studied. In this study, those who ate their main meal late lost significantly less weight than early eaters. The findings of this study indicate that timing of food intake relates to long-term weight loss effectiveness in humans. These findings may help in developing therapeutic strategies for weight loss that incorporates the timing of food consumption with the traditional energy balance and macronutrient composition.
Abstract
BACKGROUND There is emerging literature demonstrating a relationship between the timing of feeding and weight regulation in animals. However, whether the timing of food intake influences the success of a weight-loss diet in humans is unknown. OBJECTIVE To evaluate the role of food timing in weight-loss effectiveness in a sample of 420 individuals who followed a 20-week weight-loss treatment. METHODS Participants (49.5% female subjects; age (mean ± s.d.): 42 ± 11 years; BMI: 31.4 ± 5.4 kg m(-2)) were grouped in early eaters and late eaters, according to the timing of the main meal (lunch in this Mediterranean population). 51% of the subjects were early eaters and 49% were late eaters (lunch time before and after 1500 hours, respectively), energy intake and expenditure, appetite hormones, CLOCK genotype, sleep duration and chronotype were studied. RESULTS Late lunch eaters lost less weight and displayed a slower weight-loss rate during the 20 weeks of treatment than early eaters (P=0.002). Surprisingly, energy intake, dietary composition, estimated energy expenditure, appetite hormones and sleep duration was similar between both groups. Nevertheless, late eaters were more evening types, had less energetic breakfasts and skipped breakfast more frequently that early eaters (all; P<0.05). CLOCK rs4580704 single nucleotide polymorphism (SNP) associated with the timing of the main meal (P=0.015) with a higher frequency of minor allele (C) carriers among the late eaters (P=0.041). Neither sleep duration, nor CLOCK SNPs or morning/evening chronotype was independently associated with weight loss (all; P>0.05). CONCLUSIONS Eating late may influence the success of weight-loss therapy. Novel therapeutic strategies should incorporate not only the caloric intake and macronutrient distribution - as is classically done - but also the timing of food.
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Dietary intake following experimentally restricted sleep in adolescents.
Beebe, DW, Simon, S, Summer, S, Hemmer, S, Strotman, D, Dolan, LM
Sleep. 2013;36(6):827-34
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Obesity in adolescents and adults has become a well recognised public health hazard. In this study the relationship of restricted sleep and consumption of high glycemic index foods, in particular sweets and desserts, was measured in adolescents. A 3-week experimental sleep manipulation protocol was designed. The order of experimental conditions was counterbalanced across participants in a randomised crossover design. All participants sleep time was in their home setting and was monitored via a daily sleep diary. No instructions were given regarding diet except to limit caffeine and energy drinks. Data was collected through sleep watches and the teens were instructed to wear the watch only during sleep time and throughout the night. A 24-hour diet recall was done at the end of each week. The results of the study showed that there was increased consumption of desserts and sweets during restricted sleep. The diets of adolescents after several nights of sleep restriction were characterised by higher glycemic index and glycemic load, as well as a trend toward high consumption of calories and carbohydrates. Sleep restriction may lead to to changes in dietary choices and dietary behaviour that may have long term negative impact on health.
Abstract
STUDY OBJECTIVE To examine the relationship between sleep and dietary intake in adolescents using an experimental sleep restriction protocol. DESIGN Randomized crossover sleep restriction-extension paradigm. SETTING Sleep obtained and monitored at home, diet measured during an office visit. PARTICIPANTS Forty-one typically developing adolescents age 14-16 years. INTERVENTIONS The 3-week protocol consisting of a baseline week designed to stabilize the circadian rhythm, followed randomly by 5 consecutive nights of sleep restriction (6.5 hours in bed Monday-Friday) versus healthy sleep duration (10 hours in bed), a 2-night washout period, and a 5-night crossover period. MEASUREMENTS Sleep was monitored via actigraphy and teens completed validated 24-hour diet recall interviews following each experimental condition. RESULTS Paired-sample t-tests examined differences between conditions for consumption of key macronutrients and choices from dietary categories. Compared with the healthy sleep condition, sleep-restricted adolescents' diets were characterized by higher glycemic index and glycemic load and a trend toward more calories and carbohydrates, with no differences in fat or protein consumption. Exploratory analyses revealed the consumption of significantly more desserts and sweets during sleep restriction than healthy sleep. CONCLUSIONS Chronic sleep restriction during adolescence appears to cause increased consumption of foods with a high glycemic index, particularly desserts/sweets. The chronic sleep restriction common in adolescence may cause changes in dietary behaviors that increase risk of obesity and associated morbidity.