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Habitual daily intake of a sweet and fatty snack modulates reward processing in humans.
Edwin Thanarajah, S, DiFeliceantonio, AG, Albus, K, Kuzmanovic, B, Rigoux, L, Iglesias, S, Hanßen, R, Schlamann, M, Cornely, OA, Brüning, JC, et al
Cell metabolism. 2023;35(4):571-584.e6
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The prolific amount of sugar and fat in modern Western diets is regarded as a significant contributor to overeating and consequential weight gain. Dopamine, a neurotransmitter involved in learning and reward signalling, is also important in regulating food intake. Energy-dense foods, often high in both sugar and fat, stimulate pleasure-signalling dopamine to encourage eating, even if no more energy is needed. It is acknowledged that in many cases of obesity, the function of dopamine appears to be altered. Yet it is uncertain whether this was pre-existing to obesity, a result of obesity or whether it was re-shaped though exposure to high sugar and high-fat diets. To gain more insights, this study evaluated whether adding a high-fat/high-sugar (HF/HS) snack or a low-fat/low-sugar (LF/LS) snack to a regular diet could change the candidates liking for fat, their brain responses to likeable foods like fat and sugar and if it impacted on sensory associative learning. The randomised controlled study was conducted for 8-weeks and included 49 people of normal-weight. The candidates were also monitored for any changes in weight and body fat, insulin resistance, leptin levels, and blood fats, and all completed self-reported dietary intake forms. The findings demonstrated that repeated exposure to HF/HS food reduced the preference for low-fat foods and up-regulated the brain responses when anticipating and consuming such highly palatable, energy-dense foods. Beyond increased brain response to HF/HS food, HF/HS exposure also induced a general rewiring of the brain by enhancing new sensory associations and behavioural adaptations that were unrelated to food. Notably, these changes all occurred independent of weight gain or alterations in metabolic function, thus suggesting that repeated exposure to HF/HS foods can change the physiology in healthy weight individuals to reduce their liking of healthier foods whilst at the same time increasing the reward responses to more palatable HF/ HS foods. The authors highlighted this as a risk for overeating and weight gain, arguing that reducing the exposure to energy-dense HF/HS food items therefore is critical in the prevention and management of obesity.
Abstract
Western diets rich in fat and sugar promote excess calorie intake and weight gain; however, the underlying mechanisms are unclear. Despite a well-documented association between obesity and altered brain dopamine function, it remains elusive whether these alterations are (1) pre-existing, increasing the individual susceptibility to weight gain, (2) secondary to obesity, or (3) directly attributable to repeated exposure to western diet. To close this gap, we performed a randomized, controlled study (NCT05574660) with normal-weight participants exposed to a high-fat/high-sugar snack or a low-fat/low-sugar snack for 8 weeks in addition to their regular diet. The high-fat/high-sugar intervention decreased the preference for low-fat food while increasing brain response to food and associative learning independent of food cues or reward. These alterations were independent of changes in body weight and metabolic parameters, indicating a direct effect of high-fat, high-sugar foods on neurobehavioral adaptations that may increase the risk for overeating and weight gain.
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Eating Behaviour Changes during the COVID-19 Pandemic: A Systematic Review of Longitudinal Studies.
González-Monroy, C, Gómez-Gómez, I, Olarte-Sánchez, CM, Motrico, E
International journal of environmental research and public health. 2021;18(21)
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The appearance of coronavirus disease 2019 (COVID-19), has led not only to changes in relationship patterns but also lifestyle habits. The aim of this study was to evaluate eating behaviour changes during the COVID-19 pandemic by establishing a comparison of eating behaviours before and after the outbreak of the pandemic. This study is a systematic review of 23 longitudinal studies. Results indicate that: - the frequency of meals is not associated with the amount of food eaten. - there was not a correlation between gender and age with specific eating behaviours. Authors conclude that further research focusing not only on food intake but also on alcohol consumption and its consequences is required. This may aid in the development of a progression of ‘eating behaviour during a state of alarm’ and in the establishment of a benchmark for future directions to help improve guidelines for achieving proper nutrition aimed at the new normality.
Abstract
Eating behaviour is a complex construct that is liable to be modified by external factors. Due to the outbreak of coronavirus disease 2019 (COVID-19), many restrictive measures were carried out with the aim of reducing the impact of this disease. As a result, lifestyles were disrupted, which could affect eating behaviours. The aim of this systematic review of longitudinal studies was to assess changes in eating behaviour during the COVID-19 pandemic by establishing a comparison of eating behaviours before and after the outbreak of the pandemic. This study followed the PRISMA guidelines (PROSPERO CRD42020203246), whereas to assess the quality of the studies, the Newcastle-Ottawa Quality Assessment Scale (NOS) was applied. Out of a set of 826 studies, 23 were included in this systematic review. The main findings provided information about a shift towards modified eating behaviours, characterized by an increased snack frequency and a preference for sweets and ultra-processed food rather than fruits, vegetables, and fresh food. Additionally, an increased alcohol consumption was found among different countries. Consequently, adherence to healthy diets decreased. These findings are relevant to future policies and strategies to assess nutrition in cases of alarming situations such as the current COVID-19 pandemic.
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Changes in Weight and Nutritional Habits in Adults with Obesity during the "Lockdown" Period Caused by the COVID-19 Virus Emergency.
Pellegrini, M, Ponzo, V, Rosato, R, Scumaci, E, Goitre, I, Benso, A, Belcastro, S, Crespi, C, De Michieli, F, Ghigo, E, et al
Nutrients. 2020;12(7)
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The pandemic of the coronavirus SARS-CoV-2 (COVID-19) has caused significant disruption in everyday lifestyle. The aim if this study was to evaluate the changes in weight and dietary habits in a sample of individuals with obesity attending the Obesity Unit after 1 month of enforced lockdown. This is an observational retrospective study were patients followed a 12-month multidisciplinary weight loss program. Results showed that patients with obesity attending an Obesity Unit in Northern Italy showed a ≈1.5 kg self-reported weight gain after the first month of lockdown. Lower education level, self-reported anxiety/depression, and not paying attention to the healthiness of food choices were significantly associated with weight and body mass index increase. Authors conclude that the adverse mental burden linked to the COVID-19 pandemic might be associated with their increased weight.
Abstract
Our aim is evaluating the changes in weight and dietary habits in a sample of outpatients with obesity after 1 month of enforced lockdown during the COVID-19 pandemic in Northern Italy. In this observational retrospective study, the patients of our Obesity Unit were invited to answer to a 12-question multiple-choice questionnaire relative to weight changes, working activity, exercise, dietary habits, and conditions potentially impacting on nutritional choices. A multivariate regression analysis was performed to evaluate the associations among weight/BMI changes and the analyzed variables. A total of 150 subjects (91.5%) completed the questionnaire. Mean self-reported weight gain was ≈1.5 kg (p < 0.001). Lower exercise, self-reported boredom/solitude, anxiety/depression, enhanced eating, consumption of snacks, unhealthy foods, cereals, and sweets were correlated with a significantly higher weight gain. Multiple regression analyses showed that increased education (inversely, β = -1.15; 95%CI -2.13, -0.17, p = 0.022), self-reported anxiety/depression (β = 1.61; 0.53, 2.69, p = 0.004), and not consuming healthy foods (β = 1.48; 0.19, 2.77, p = 0.026) were significantly associated with increased weight gain. The estimated direct effect of self-reported anxiety/depression on weight was 2.07 kg (1.07, 3.07, p < 0.001). Individuals with obesity significantly gained weight 1 month after the beginning of the quarantine. The adverse mental burden linked to the COVID-19 pandemic was greatly associated with increased weight gain.
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The Role of Diet and Nutrition in Migraine Triggers and Treatment: A Systematic Literature Review.
Hindiyeh, NA, Zhang, N, Farrar, M, Banerjee, P, Lombard, L, Aurora, SK
Headache. 2020;60(7):1300-1316
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Migraine is a disabling primary headache disorder with 2 major subtypes: migraine without aura and migraine with aura. Certain foods, such as chocolate, caffeine, milk, cheese and alcoholic beverages, have been identified as common triggers of migraine attacks. The aim of this study was to qualitatively summarize data from randomized controlled trials or observational studies on the role of diet patterns, diet-related triggers, and dietary interventions in adults with migraine. This study is a systematic review of forty-three articles. Of the studies included in the review, 11 outlined the evidence on diet patterns, 20 outlined the evidence on diet-related triggers, and 12 outlined evidence on diet as interventions in people with migraine. Results show that evidence regarding the effect of general diet patterns in people with migraine varied in the studies identified. Furthermore, limited high-quality evidence was found. Authors conclude that certain dietary interventions may help to improve clinical outcomes in some people with migraine, but these findings still need to be supported with robust evidence before being recommended for use in clinical practice.
Abstract
BACKGROUND Migraine is a disabling primary headache disorder often associated with triggers. Diet-related triggers are a common cause of migraine and certain diets have been reported to decrease the frequency of migraine attacks if dietary triggers or patterns are adjusted. OBJECTIVE The systematic literature review was conducted to qualitatively summarize evidence from the published literature regarding the role of diet patterns, diet-related triggers, and diet interventions in people with migraine. METHODS A literature search was carried out on diet patterns, diet-related triggers, and diet interventions used to treat and/or prevent migraine attacks, using an a priori protocol. MEDLINE and EMBASE databases were searched to identify studies assessing the effect of diet, food, and nutrition in people with migraine aged ≥18 years. Only primary literature sources (randomized controlled trials or observational studies) were included and searches were conducted from January 2000 to March 2019. The NICE checklist was used to assess the quality of the included studies of randomized controlled trials and the Downs and Black checklist was used for the assessment of observational studies. RESULTS A total of 43 studies were included in this review, of which 11 assessed diet patterns, 12 assessed diet interventions, and 20 assessed diet-related triggers. The overall quality of evidence was low, as most of the (68%) studies assessing diet patterns and diet-related triggers were cross-sectional studies or patient surveys. The studies regarding diet interventions assessed a variety of diets, such as ketogenic diet, elimination diets, and low-fat diets. Alcohol and caffeine uses were the most common diet patterns and diet-related triggers associated with increased frequency of migraine attacks. Most of the diet interventions, such as low-fat and elimination diets, were related to a decrease in the frequency of migraine attacks. CONCLUSIONS There is limited high-quality randomized controlled trial data on diet patterns or diet-related triggers. A few small randomized controlled trials have assessed diet interventions in preventing migraine attacks without strong results. Although many patients already reported avoiding personal diet-related triggers in their migraine management, high-quality research is needed to confirm the effect of diet in people with migraine.
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Increased Hunger, Food Cravings, Food Reward, and Portion Size Selection after Sleep Curtailment in Women Without Obesity.
Yang, CL, Schnepp, J, Tucker, RM
Nutrients. 2019;11(3)
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Insufficient sleep is a risk factor for overweight and obesity. A number of maladaptive changes take place that promote increased intake and weight gain. The aim of this randomised crossover study was to examine the impact of sleep deprivation on hunger, food cravings, food reward and portion size among 24 healthy women. Participants were randomised to either one normal night sleep or curtailed night sleep, where time in bed was reduced by 33%. Crossover visits occurred two weeks apart. Sleep duration was measured through imaging and sleep quality, hunger, tiredness, and food cravings were observed through questionnaires. This study found an increase in hunger, food cravings, food reward and portion sizes after a night of sleep deprivation. Based on this study the authors conclude reduced sleep duration can lead to increased energy intake and therefore an increased risk of obesity.
Abstract
This study examined the effects of one night of sleep curtailment on hunger, food cravings, food reward, and portion size selection. Women who reported habitually sleeping 7⁻9 h per night, were aged 18⁻55, were not obese, and had no sleep disorders were recruited. Sleep conditions in this randomized crossover study consisted of a normal night (NN) and a curtailed night (CN) where time in bed was reduced by 33%. Hunger, tiredness, sleep quality, sleepiness, and food cravings were measured. A progressive ratio task using chocolates assessed the food reward. Participants selected portions of various foods that reflected how much they wanted to eat at that time. The sleep duration was measured using a single-channel electroencephalograph. Twenty-four participants completed the study. The total sleep time was shorter during the CN (p < 0.001). Participants reported increased hunger (p = 0.013), tiredness (p < 0.001), sleepiness (p < 0.001), and food cravings (p = 0.002) after the CN. More chocolate was consumed after the CN (p = 0.004). Larger portion sizes selected after the CN resulted in increased energy plated for lunch (p = 0.034). In conclusion, the present study observed increased hunger, food cravings, food reward, and portion sizes of food after a night of modest sleep curtailment. These maladaptive responses could lead to higher energy intake and, ultimately, weight gain.
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Ultra-Processed Diets Cause Excess Calorie Intake and Weight Gain: An Inpatient Randomized Controlled Trial of Ad Libitum Food Intake.
Hall, KD, Ayuketah, A, Brychta, R, Cai, H, Cassimatis, T, Chen, KY, Chung, ST, Costa, E, Courville, A, Darcey, V, et al
Cell metabolism. 2019;30(1):67-77.e3
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Diets high in ultra-processed foods have been related to several poor health outcomes and even death, possibly due to properties that make them highly palatable resulting in overeating and obesity. However, to date, there are few studies that demonstrate this relationship. This randomised control trial of 20 individuals aimed to compare the effects of an ultra-processed diet to an unprocessed diet on energy intake. The results showed that the ultra-processed diet resulted in higher energy intakes due to increased carbohydrates and fat, whereas energy intake during the unprocessed diet remained stable and this was not due to differences in pleasantness of familiarity. During the ultra-processed diet participants gained weight, and lost weight during the unprocessed phase, due to increased energy intake. It was concluded that eliminating ultra-processed foods from the diet decreases energy intake resulting in weight loss. Healthcare professionals could use this study to understand the importance of recommending a diet without ultra-processed foods to decrease overeating and improve health.
Abstract
We investigated whether ultra-processed foods affect energy intake in 20 weight-stable adults, aged (mean ± SE) 31.2 ± 1.6 years and BMI = 27 ± 1.5 kg/m2. Subjects were admitted to the NIH Clinical Center and randomized to receive either ultra-processed or unprocessed diets for 2 weeks immediately followed by the alternate diet for 2 weeks. Meals were designed to be matched for presented calories, energy density, macronutrients, sugar, sodium, and fiber. Subjects were instructed to consume as much or as little as desired. Energy intake was greater during the ultra-processed diet (508 ± 106 kcal/day; p = 0.0001), with increased consumption of carbohydrate (280 ± 54 kcal/day; p < 0.0001) and fat (230 ± 53 kcal/day; p = 0.0004), but not protein (-2 ± 12 kcal/day; p = 0.85). Weight changes were highly correlated with energy intake (r = 0.8, p < 0.0001), with participants gaining 0.9 ± 0.3 kg (p = 0.009) during the ultra-processed diet and losing 0.9 ± 0.3 kg (p = 0.007) during the unprocessed diet. Limiting consumption of ultra-processed foods may be an effective strategy for obesity prevention and treatment.
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The effects of acceptance and commitment therapy on eating behavior and diet delivered through face-to-face contact and a mobile app: a randomized controlled trial.
Järvelä-Reijonen, E, Karhunen, L, Sairanen, E, Muotka, J, Lindroos, S, Laitinen, J, Puttonen, S, Peuhkuri, K, Hallikainen, M, Pihlajamäki, J, et al
The international journal of behavioral nutrition and physical activity. 2018;15(1):22
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Acceptance and commitment therapy is one promising method in changing behaviour towards a person’s own value and goals. It aims to strengthen positive psychological processes related to commitment, behaviour change, mindfulness, and acceptance, which can be applied to promote healthy behaviour pattern. The aim of this study was to investigate the effects of acceptance and commitment therapy intervention delivered in two different ways i.e., via face-to-face group sessions and via mobile app, on reported eating behaviour and diet quality among adults with psychological distress and overweight or obesity. The study is a secondary analysis of the parallel-arm randomised controlled trial in which 3 different psychological interventions were studied. 219 individuals participated in the study with a mean body mass index of 31.3kg/m2, and a mean age of 49.5 years. Results indicate that acceptance and commitment therapy-based were able to change the reasons for eating from emotional or environmental triggers towards hunger and satiety cues, increase the acceptance of a variety of foods, and help the individual to perceive healthy eating more consistently. Authors conclude that acceptance and commitment therapy-based interventions delivered in the face-to-face group sessions or by the Mobile app showed beneficial effects on several aspects of eating behaviour.
Abstract
BACKGROUND Internal motivation and good psychological capabilities are important factors in successful eating-related behavior change. Thus, we investigated whether general acceptance and commitment therapy (ACT) affects reported eating behavior and diet quality and whether baseline perceived stress moderates the intervention effects. METHODS Secondary analysis of unblinded randomized controlled trial in three Finnish cities. Working-aged adults with psychological distress and overweight or obesity in three parallel groups: (1) ACT-based Face-to-face (n = 70; six group sessions led by a psychologist), (2) ACT-based Mobile (n = 78; one group session and mobile app), and (3) Control (n = 71; only the measurements). At baseline, the participants' (n = 219, 85% females) mean body mass index was 31.3 kg/m2 (SD = 2.9), and mean age was 49.5 years (SD = 7.4). The measurements conducted before the 8-week intervention period (baseline), 10 weeks after the baseline (post-intervention), and 36 weeks after the baseline (follow-up) included clinical measurements, questionnaires of eating behavior (IES-1, TFEQ-R18, HTAS, ecSI 2.0, REBS), diet quality (IDQ), alcohol consumption (AUDIT-C), perceived stress (PSS), and 48-h dietary recall. Hierarchical linear modeling (Wald test) was used to analyze the differences in changes between groups. RESULTS Group x time interactions showed that the subcomponent of intuitive eating (IES-1), i.e., Eating for physical rather than emotional reasons, increased in both ACT-based groups (p = .019); the subcomponent of TFEQ-R18, i.e., Uncontrolled eating, decreased in the Face-to-face group (p = .020); the subcomponent of health and taste attitudes (HTAS), i.e., Using food as a reward, decreased in the Mobile group (p = .048); and both subcomponent of eating competence (ecSI 2.0), i.e., Food acceptance (p = .048), and two subcomponents of regulation of eating behavior (REBS), i.e., Integrated and Identified regulation (p = .003, p = .023, respectively), increased in the Face-to-face group. Baseline perceived stress did not moderate effects on these particular features of eating behavior from baseline to follow-up. No statistically significant effects were found for dietary measures. CONCLUSIONS ACT-based interventions, delivered in group sessions or by mobile app, showed beneficial effects on reported eating behavior. Beneficial effects on eating behavior were, however, not accompanied by parallel changes in diet, which suggests that ACT-based interventions should include nutritional counseling if changes in diet are targeted. TRIAL REGISTRATION ClinicalTrials.gov ( NCT01738256 ), registered 17 August, 2012.
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How Does the Brain Implement Adaptive Decision Making to Eat?
Compan, V, Walsh, BT, Kaye, W, Geliebter, A
The Journal of neuroscience : the official journal of the Society for Neuroscience. 2015;35(41):13868-78
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While food intake is critical for survival, adaptive decision-making can be altered through various mechanisms and eventually lead to disordered eating patterns. Feeding behaviour is dependent on homeostatic rules, motivational drives, biological predispositions and external stressors. This complex web elucidates how humans can decide to satisfy or abstain from hunger cues, and the underlying mechanisms of this behaviour have been increasingly explored. This review summarises the overall neural circuitry in restrictive food choice and binge eating. Serotonergic systems play a key role in eating disorders because they are involved in responses to stress, emotions and feeding behaviour. The decision to overeat or abstain from eating is a reward, and this goal-directed and persistent behaviour mirror some aspects of drug dependence. This review found that voluntary processes in the nervous system could be modified to predominate over homeostatic control of hunger. Eating disorders may emerge when serotonin neurons reach their limit of adaptive capacities, potentially to the extent of compromised survival. This study provides a basis for developing more effective interventions for this population.
Abstract
Adaptive decision making to eat is crucial for survival, but in anorexia nervosa, the brain persistently supports reduced food intake despite a growing need for energy. How the brain persists in reducing food intake, sometimes even to the point of death and despite the evolution of multiple mechanisms to ensure survival by governing adaptive eating behaviors, remains mysterious. Neural substrates belong to the reward-habit system, which could differ among the eating disorders. The present review provides an overview of neural circuitry of restrictive food choice, binge eating, and the contribution of specific serotonin receptors. One possibility is that restrictive food intake critically engages goal-directed (decision making) systems and "habit," supporting the view that persistent caloric restriction mimics some aspects of addiction to drugs of abuse. SIGNIFICANCE STATEMENT An improved understanding of the neural basis of eating disorders is a timely challenge because these disorders can be deadly. Up to 70 million of people in the world suffer from eating disorders. Anorexia nervosa affects 1-4% of women in United States and is the first cause of death among adolescents in Europe. Studies relying on animal models suggest that decision making to eat (or not) can prevail over actual energy requirements due to emotional disturbances resulting in abnormal habitual behavior, mimicking dependence. These recent studies provide a foundation for developing more specific and effective interventions for these disorders.
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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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Exposure to recurrent sleep restriction in the setting of high caloric intake and physical inactivity results in increased insulin resistance and reduced glucose tolerance.
Nedeltcheva, AV, Kessler, L, Imperial, J, Penev, PD
The Journal of clinical endocrinology and metabolism. 2009;94(9):3242-50
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Type-2 diabetes (T2D) is a complex disease influenced by genetic, environmental, metabolic and behavioural factors and is a rising burden in Westernised societies. Whether reduced sleep duration, in the context of a Western lifestyle, is associated with an increased incidence of T2D is unclear and available evidence is limited. The aim of this crossover study was to determine whether sleep restriction may result in a decreased glucose tolerance and reduced insulin secretion in 11 healthy middle-aged adults. Participants were restricted to 5.5 hours of sleep per night and glucose challenges and circulating plasma concentrations were used to measure hormonal and metabolic parameters. This study showed that recurrent short sleep times may facilitate the development of insulin resistance and reduced glucose tolerance. These findings suggest that combining the adverse metabolic effects of a Western lifestyle with chronically reduced sleep duration may increase the long-term risk of developing T2D.
Abstract
CONTEXT Epidemiological data indicate that reduced sleep duration is associated with increased incidence of type-2 diabetes. OBJECTIVE The aim of the study was to test the hypothesis that, when part of a Western-like lifestyle, recurrent bedtime restriction may result in decreased glucose tolerance and reduced insulin secretion and action. DESIGN AND SETTING We conducted a randomized crossover study at a university clinical research center and sleep research laboratory. PARTICIPANTS Eleven healthy volunteers (five females and six males) with a mean (+/-sd) age of 39 +/- 5 yr and body mass index of 26.5 +/- 1.5 kg/m(2) participated in the study. INTERVENTION The study included two 14-d periods of controlled exposure to sedentary living with ad libitum food intake and 5.5- or 8.5-h bedtimes. MAIN OUTCOME MEASURES Oral and iv glucose challenges were used to obtain measures of glucose tolerance, glucose effectiveness, insulin secretion, and insulin sensitivity at the end of each intervention. Secondary measures included circulating concentrations of the glucose counter-regulatory hormones, cortisol, GH, epinephrine, and norepinephrine. RESULTS Bedtime restriction reduced daily sleep by 122 +/- 25 min. Both study periods were associated with comparable weight gain; however, recurrent sleep restriction resulted in reduced oral glucose tolerance (2-h glucose value, 144 +/- 25 vs. 132 +/- 36 mg/dl; P < 0.01) and insulin sensitivity [3.3 +/- 1.1 vs. 4.0 +/- 1.6 (mU/liter)(-1) x min(-1); P < 0.03], and increased glucose effectiveness (0.023 +/- 0.005 vs. 0.020 +/- 0.005 min(-1); P < 0.04). Although 24-h cortisol and GH concentrations did not change, there was a modest increase in 24-h epinephrine and nighttime norepinephrine levels during the 5.5-h bedtime condition. CONCLUSIONS Experimental bedtime restriction, designed to approximate the short sleep times experienced by many individuals in Westernized societies, may facilitate the development of insulin resistance and reduced glucose tolerance.