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      The role of insufficient sleep and circadian misalignment in obesity

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          Abstract

          Traditional risk factors for obesity and the metabolic syndrome, such as excess energy intake and lack of physical activity, cannot fully explain the high prevalence of these conditions. Insufficient sleep and circadian misalignment predispose individuals to poor metabolic health and promote weight gain and have received increased research attention in the past 10 years. Insufficient sleep is defined as sleeping less than recommended for health benefits, whereas circadian misalignment is defined as wakefulness and food intake occurring when the internal circadian system is promoting sleep. This Review discusses the impact of insufficient sleep and circadian misalignment in humans on appetite hormones (focusing on ghrelin, leptin and peptide-YY), energy expenditure, food intake and choice, and risk of obesity. Some potential strategies to reduce the adverse effects of sleep disruption on metabolic health are provided and future research priorities are highlighted. Millions of individuals worldwide do not obtain sufficient sleep for healthy metabolic functions. Furthermore, modern working patterns, lifestyles and technologies are often not conducive to adequate sleep at times when the internal physiological clock is promoting it (for example, late-night screen time, shift work and nocturnal social activities). Efforts are needed to highlight the importance of optimal sleep and circadian health in the maintenance of metabolic health and body weight regulation.

          Abstract

          Insufficient sleep and circadian misalignment contribute to obesity risk. This Review discusses how modern society disrupts sleep, it considers evidence from human studies on how sleep disruption affects energy expenditure, appetite hormones and food intake, and discusses some potential strategies to reduce the adverse effects of sleep disruption.

          Key points

          • Insufficient sleep and circadian misalignment are common in modern society.

          • Insufficient sleep and circadian misalignment are important metabolic stressors and are associated with weight gain and obesity.

          • Insufficient sleep increases energy expenditure by ~100 kcal per day but also increases energy intake by >250 kcal per day, resulting in a positive energy balance and weight gain.

          • Sleep restriction increases the drive to eat, and excess food intake resulting from not sleeping enough is more related to cognitive control and reward mechanisms than to appetite hormones.

          • Circadian misalignment reduces 24-h energy expenditure by ~3% (~55 kcal per day), alters the levels of appetite hormones and promotes unhealthier food choices than conditions of adequate sleep.

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          Worldwide trends in body-mass index, underweight, overweight, and obesity from 1975 to 2016: a pooled analysis of 2416 population-based measurement studies in 128·9 million children, adolescents, and adults

          Summary Background Underweight, overweight, and obesity in childhood and adolescence are associated with adverse health consequences throughout the life-course. Our aim was to estimate worldwide trends in mean body-mass index (BMI) and a comprehensive set of BMI categories that cover underweight to obesity in children and adolescents, and to compare trends with those of adults. Methods We pooled 2416 population-based studies with measurements of height and weight on 128·9 million participants aged 5 years and older, including 31·5 million aged 5–19 years. We used a Bayesian hierarchical model to estimate trends from 1975 to 2016 in 200 countries for mean BMI and for prevalence of BMI in the following categories for children and adolescents aged 5–19 years: more than 2 SD below the median of the WHO growth reference for children and adolescents (referred to as moderate and severe underweight hereafter), 2 SD to more than 1 SD below the median (mild underweight), 1 SD below the median to 1 SD above the median (healthy weight), more than 1 SD to 2 SD above the median (overweight but not obese), and more than 2 SD above the median (obesity). Findings Regional change in age-standardised mean BMI in girls from 1975 to 2016 ranged from virtually no change (−0·01 kg/m2 per decade; 95% credible interval −0·42 to 0·39, posterior probability [PP] of the observed decrease being a true decrease=0·5098) in eastern Europe to an increase of 1·00 kg/m2 per decade (0·69–1·35, PP>0·9999) in central Latin America and an increase of 0·95 kg/m2 per decade (0·64–1·25, PP>0·9999) in Polynesia and Micronesia. The range for boys was from a non-significant increase of 0·09 kg/m2 per decade (−0·33 to 0·49, PP=0·6926) in eastern Europe to an increase of 0·77 kg/m2 per decade (0·50–1·06, PP>0·9999) in Polynesia and Micronesia. Trends in mean BMI have recently flattened in northwestern Europe and the high-income English-speaking and Asia-Pacific regions for both sexes, southwestern Europe for boys, and central and Andean Latin America for girls. By contrast, the rise in BMI has accelerated in east and south Asia for both sexes, and southeast Asia for boys. Global age-standardised prevalence of obesity increased from 0·7% (0·4–1·2) in 1975 to 5·6% (4·8–6·5) in 2016 in girls, and from 0·9% (0·5–1·3) in 1975 to 7·8% (6·7–9·1) in 2016 in boys; the prevalence of moderate and severe underweight decreased from 9·2% (6·0–12·9) in 1975 to 8·4% (6·8–10·1) in 2016 in girls and from 14·8% (10·4–19·5) in 1975 to 12·4% (10·3–14·5) in 2016 in boys. Prevalence of moderate and severe underweight was highest in India, at 22·7% (16·7–29·6) among girls and 30·7% (23·5–38·0) among boys. Prevalence of obesity was more than 30% in girls in Nauru, the Cook Islands, and Palau; and boys in the Cook Islands, Nauru, Palau, Niue, and American Samoa in 2016. Prevalence of obesity was about 20% or more in several countries in Polynesia and Micronesia, the Middle East and north Africa, the Caribbean, and the USA. In 2016, 75 (44–117) million girls and 117 (70–178) million boys worldwide were moderately or severely underweight. In the same year, 50 (24–89) million girls and 74 (39–125) million boys worldwide were obese. Interpretation The rising trends in children's and adolescents' BMI have plateaued in many high-income countries, albeit at high levels, but have accelerated in parts of Asia, with trends no longer correlated with those of adults. Funding Wellcome Trust, AstraZeneca Young Health Programme.
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            Insomnia as a predictor of depression: a meta-analytic evaluation of longitudinal epidemiological studies.

            In many patients with depression, symptoms of insomnia herald the onset of the disorder and may persist into remission or recovery, even after adequate treatment. Several studies have raised the question whether insomniac symptoms may constitute an independent clinical predictor of depression. This meta-analysis is aimed at evaluating quantitatively if insomnia constitutes a predictor of depression. PubMed, Medline, PsycInfo, and PsycArticles databases were searched from 1980 until 2010 to identify longitudinal epidemiological studies simultaneously investigating insomniac complaints and depressed psychopathology. Effects were summarized using the logarithms of the odds ratios for insomnia at baseline to predict depression at follow-up. Studies were pooled with both fixed- and random-effects meta-analytic models in order to evaluate the concordance. Heterogeneity test and sensitivity analysis were computed. Twenty-one studies met inclusion criteria. Considering all studies together, heterogeneity was found. The random-effects model showed an overall odds ratio for insomnia to predict depression of 2.60 (confidence interval [CI]: 1.98-3.42). When the analysis was adjusted for outliers, the studies were not longer heterogeneous. The fixed-effects model showed an overall odds ratio of 2.10 (CI: 1.86-2.38). The main limit is that included studies did not always consider the role of other intervening variables. Non-depressed people with insomnia have a twofold risk to develop depression, compared to people with no sleep difficulties. Thus, early treatment programs for insomnia might reduce the risk for developing depression in the general population and be considered a helpful general preventive strategy in the area of mental health care. Copyright © 2011 Elsevier B.V. All rights reserved.
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              Time-restricted feeding without reducing caloric intake prevents metabolic diseases in mice fed a high-fat diet.

              While diet-induced obesity has been exclusively attributed to increased caloric intake from fat, animals fed a high-fat diet (HFD) ad libitum (ad lib) eat frequently throughout day and night, disrupting the normal feeding cycle. To test whether obesity and metabolic diseases result from HFD or disruption of metabolic cycles, we subjected mice to either ad lib or time-restricted feeding (tRF) of a HFD for 8 hr per day. Mice under tRF consume equivalent calories from HFD as those with ad lib access yet are protected against obesity, hyperinsulinemia, hepatic steatosis, and inflammation and have improved motor coordination. The tRF regimen improved CREB, mTOR, and AMPK pathway function and oscillations of the circadian clock and their target genes' expression. These changes in catabolic and anabolic pathways altered liver metabolome and improved nutrient utilization and energy expenditure. We demonstrate in mice that tRF regimen is a nonpharmacological strategy against obesity and associated diseases. Copyright © 2012 Elsevier Inc. All rights reserved.
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                Author and article information

                Contributors
                jpchaput@cheo.on.ca
                Journal
                Nat Rev Endocrinol
                Nat Rev Endocrinol
                Nature Reviews. Endocrinology
                Nature Publishing Group UK (London )
                1759-5029
                1759-5037
                24 October 2022
                : 1-16
                Affiliations
                [1 ]GRID grid.414148.c, ISNI 0000 0000 9402 6172, Healthy Active Living and Obesity Research Group, , CHEO Research Institute, ; Ottawa, ON Canada
                [2 ]GRID grid.28046.38, ISNI 0000 0001 2182 2255, Department of Paediatrics, Faculty of Medicine, , University of Ottawa, ; Ottawa, ON Canada
                [3 ]GRID grid.5288.7, ISNI 0000 0000 9758 5690, Sleep, Chronobiology, and Health Laboratory, School of Nursing, Oregon Institute of Occupational Health Sciences, , Oregon Health & Science University, ; Portland, OR USA
                [4 ]GRID grid.266190.a, ISNI 0000000096214564, Sleep and Chronobiology Laboratory, Department of Integrative Physiology, , University of Colorado Boulder, ; Boulder, CO USA
                [5 ]GRID grid.47894.36, ISNI 0000 0004 1936 8083, Sleep and Metabolism Laboratory, Department of Health and Exercise Science, , Colorado State University, ; Fort Collins, CO USA
                [6 ]GRID grid.430503.1, ISNI 0000 0001 0703 675X, Division of Endocrinology, Metabolism and Diabetes, , University of Colorado Anschutz Medical Campus, ; Aurora, CO USA
                [7 ]GRID grid.28046.38, ISNI 0000 0001 2182 2255, School of Human Kinetics, Faculty of Health Sciences, , University of Ottawa, ; Ottawa, ON Canada
                [8 ]GRID grid.411237.2, ISNI 0000 0001 2188 7235, Research Center in Physical Activity and Health, Department of Physical Education, School of Sports, , Federal University of Santa Catarina, ; Florianopolis, Brazil
                [9 ]GRID grid.28046.38, ISNI 0000 0001 2182 2255, School of Epidemiology and Public Health, , University of Ottawa, ; Ottawa, ON Canada
                Author information
                http://orcid.org/0000-0002-5607-5736
                http://orcid.org/0000-0002-9428-6884
                http://orcid.org/0000-0002-5132-1512
                Article
                747
                10.1038/s41574-022-00747-7
                9590398
                36280789
                7df2d978-702d-4823-a3e5-a5be47c13658
                © Springer Nature Limited 2022, Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

                This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.

                History
                : 30 August 2022
                Categories
                Review Article

                obesity,metabolism
                obesity, metabolism

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