1
|
Berey BL, Meisel S, Pielech M, Parnes J, Padovano HT, Miranda R. A test of competing mediators linking trouble sleeping to cannabis use in adolescents and emerging adults. Exp Clin Psychopharmacol 2024; 32:316-328. [PMID: 38127518 PMCID: PMC11098684 DOI: 10.1037/pha0000693] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/23/2023]
Abstract
This study examined day-level associations between trouble sleeping and three cannabis-use indices (likelihood/quantity of use and impaired control). We evaluated behavioral and cognitive mediators of the association between trouble sleeping and cannabis outcomes. Youth (N = 86, ages 15-24, 48.8% female, 58.8% White, 18.6% Latine) who regularly used cannabis were recruited for an intervention study. This preregistered secondary data analysis leveraged data from a 1-week ecological momentary assessment (EMA) study completed prior to intervention. Trouble sleeping, cannabis use, and impaired control over use were assessed each morning; negative affect, risk-taking propensity, and cannabis craving were assessed multiple times and aggregated to create a daily average. Multilevel structural equation modeling evaluated hypothesized temporally sequenced associations and putative mechanisms at the day (i.e., within) and person (i.e., between) level. In bivariate analyses at the person level, there were large-effect associations between trouble sleeping and craving and negative affect, and between craving and cannabis-use likelihood and quantity (rs from .34 to .48). In multilevel analyses at the day level, participants were less likely to use cannabis the next day after reporting more trouble sleeping (β = -.65, p < .001). Trouble sleeping was not directly associated with subsequent cannabis-use quantity or impaired control, or indirectly via negative affect, risk-taking propensity, or craving. Trouble sleeping had differential relations with cannabis-use indices at the day and person levels. To promote youth health and reduce cannabis use, future research may consider the unique, person- and situation-driven mechanistic processes at play. (PsycInfo Database Record (c) 2024 APA, all rights reserved).
Collapse
Affiliation(s)
- Benjamin L. Berey
- Center for Alcohol and Addiction Studies, Brown University School of Public Health
| | - Samuel Meisel
- Center for Alcohol and Addiction Studies, Brown University School of Public Health
- E.P. Bradley Hospital, Riverside, RI
| | - Melissa Pielech
- Center for Alcohol and Addiction Studies, Brown University School of Public Health
- Department of Psychiatry and Human Behavior, Brown University
| | - Jamie Parnes
- Center for Alcohol and Addiction Studies, Brown University School of Public Health
| | - Hayley Treloar Padovano
- Center for Alcohol and Addiction Studies, Brown University School of Public Health
- Department of Behavioral and Social Sciences, Brown University School of Public Health
| | - Robert Miranda
- Center for Alcohol and Addiction Studies, Brown University School of Public Health
- Department of Behavioral and Social Sciences, Brown University School of Public Health
- Department of Psychiatry and Human Behavior, Brown University
- E.P. Bradley Hospital, Riverside, RI
| |
Collapse
|
2
|
Amat-Camposo R, Riquelme-Gallego B, Soto-Méndez MJ, Hernández-Ruiz Á. [Relationship between diet, nutritional aspects and sleep quality in a pediatric population]. NUTR HOSP 2024; 41:462-476. [PMID: 37929855 DOI: 10.20960/nh.04805] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2023] Open
Abstract
Introduction The relationship between diet and sleep has been studied in adults. However, there is little evidence in the pediatric population. The objective of this review was to analyze in a narrative way the relationship between diet, some nutritional aspects and sleep quality in population under 14 years. A quick review was performed in MEDLINE (PubMed) and Cochrane with a search strategy combining MeSH terms and keywords. Studies were selected to estimate diet and evaluate nutritional status and sleep in children using different tools. The risk of bias from the 14 selected studies was determined with validated tools (AMSTAR 2, Newcastle Ottawa scale [NOS] and Risk of Bias [Rob2]). Adherence to some dietary patterns such as the Mediterranean, high consumption of fruits and vegetables, tryptophan intake or substitution of saturated fatty acids by unsaturated fats were associated with better sleep quality. The consumption of ultra-processed products, the "unhealthy fast food" or the high intake of simple sugars hinder an adequate rest. On the other hand, an association between a high body mass index and lack of sleep was observed in young people under 14. In conclusion, the collected studies showed a significant association between some dietary patterns, food groups and nutrients with sleep quality. "Unhealthy" dietary factors were associated with poorer sleep quality. However, healthier and recommended habits and diets were associated with improved sleep hygiene. On the other hand, the lack of hours of rest in the youth population increases height, weight and BMI. Further research is needed in this direction.
Collapse
Affiliation(s)
| | - Blanca Riquelme-Gallego
- Departamento de Enfermería. Facultad de Ciencias de la Salud de Ceuta.Instituto de Investigación Biosanitaria (ibs.GRANADA)
| | | | - Ángela Hernández-Ruiz
- Fundación Iberoamericana de Nutrición (FINUT). Departamento de Enfermería. Facultad de Enfermería. Universidad de Valladolid
| |
Collapse
|
3
|
McNeil J, Berry NT, Dollar JM, Shriver LH, Keane SP, Shanahan L, Wideman L. Cross-sectional associations of actigraphy-assessed sleep with dietary outcomes in emerging adults. Eur J Clin Nutr 2024:10.1038/s41430-024-01417-9. [PMID: 38402354 DOI: 10.1038/s41430-024-01417-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Revised: 02/13/2024] [Accepted: 02/14/2024] [Indexed: 02/26/2024]
Abstract
BACKGROUND/OBJECTIVES Emerging adults (~18-28 years of age) have a high prevalence of poor sleeping habits and poor diet quality; however, little is known on whether these poor sleeping habits are associated with dietary outcomes in this age group. This study assessed associations between actigraphy-based sleep with energy intake (EI), overall diet quality, and measures of meal timing in emerging adults. SUBJECTS/METHODS Data on 135 emerging adults (age = 19.4 ± 1.3 years; body mass index (BMI) = 26.5 ± 6.9 kg/m2; 58% female; 65% White) from the RIGHT Track Health project were used. Measures included actigraphy-assessed sleep duration, sleep efficiency, sleep timing midpoint, day-to-day sleep duration and sleep timing midpoint variability and combined sleep duration and sleep timing behaviors (early-bed/late-rise, early-bed/early-rise, late-bed/late-rise, late-bed/early-rise); EI (three 24-h dietary recalls), diet quality (Healthy Eating Index 2015 total score) and meal timing outcomes (timing of first and last meal intake, total duration, and midpoint of the eating window). RESULTS Shorter sleep duration, later sleep timing midpoint and greater sleep efficiency, as well as combined late-bed/late-rise and late-bed/early-rise groups, were associated with lower diet quality. Greater sleep timing midpoint variability was associated with higher EI, and the late-bed/early-rise group had significantly delayed first meal timing. CONCLUSION In emerging adults, shorter sleep duration and later sleep timing are associated with lower overall diet quality, and greater sleep timing variability is associated with higher EI. Future research is needed to examine the role of sleep on diet quality and eating habits to identify potential targets for nutritional interventions in this age group.
Collapse
Affiliation(s)
- Jessica McNeil
- Department of Kinesiology, University of North Carolina at Greensboro, Greensboro, NC, USA.
| | - Nathaniel T Berry
- Department of Kinesiology, University of North Carolina at Greensboro, Greensboro, NC, USA
- Under Armour, Inc., Innovation, Baltimore, MD, USA
| | - Jessica M Dollar
- Department of Kinesiology, University of North Carolina at Greensboro, Greensboro, NC, USA
- Department of Psychology, University of North Carolina at Greensboro, Greensboro, NC, USA
| | - Lenka H Shriver
- Department of Nutrition, University of North Carolina at Greensboro, Greensboro, NC, USA
| | - Susan P Keane
- Department of Psychology, University of North Carolina at Greensboro, Greensboro, NC, USA
| | - Lilly Shanahan
- Department of Psychology, University of Zurich, Zurich, Switzerland
- Jacobs Center for Productive Youth Development, University of Zurich, Zurich, Switzerland
| | - Laurie Wideman
- Department of Kinesiology, University of North Carolina at Greensboro, Greensboro, NC, USA
| |
Collapse
|
4
|
Gale EL, James Williams A, Cecil JE. The relationship between multiple sleep dimensions and obesity in adolescents: A systematic review. Sleep Med Rev 2024; 73:101875. [PMID: 38029462 DOI: 10.1016/j.smrv.2023.101875] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2023] [Revised: 11/10/2023] [Accepted: 11/13/2023] [Indexed: 12/01/2023]
Abstract
Sleep is an involuntary behaviour, biologically fundamental to survival and wellbeing. However, sleep is increasingly neglected, with significant health implications. Recent research has identified associations between sleep duration, quality, timing and risk of overweight/obesity in children and adults. The aim of this review was to systematically identify and examine research that investigates the relationships between multiple objective and subjective sleep outcomes and objective adiposity measures in adolescents. A systematic review of literature, published to December 2022, was conducted using ten bibliographic databases. Search terms included objective and subjective sleep/circadian rhythm outcomes, objective adiposity measurements, and adolescents aged 8-18 years. Eighty-nine studies were included in the final review. Sleep outcomes were synthesized into three sleep domains: pre-sleep, during sleep and post-sleep outcomes. In summary, pre-sleep outcomes (including poor sleep hygiene, later chronotype and increased variability and later sleep timings) and increased sleep disturbance are consistently significantly associated with increased obesity and adiposity in adolescents. The relationship between during-sleep outcomes (sleep quality and efficiency) with adiposity and obesity measures was mixed. These findings suggest that adapting an individual's schedule to best suit chronotype preference and improving sleep hygiene, including a consistent bedtime routine, could reduce adiposity and obesity in adolescents.
Collapse
Affiliation(s)
- Emma Louise Gale
- School of Medicine, Population and Behavioural Sciences, University of St Andrews, St Andrews, KY16 9TF, UK.
| | - Andrew James Williams
- School of Medicine, Population and Behavioural Sciences, University of St Andrews, St Andrews, KY16 9TF, UK
| | - Joanne E Cecil
- School of Medicine, Population and Behavioural Sciences, University of St Andrews, St Andrews, KY16 9TF, UK
| |
Collapse
|
5
|
Akhlaghi M, Kohanmoo A. Sleep deprivation in development of obesity, effects on appetite regulation, energy metabolism, and dietary choices. Nutr Res Rev 2023:1-21. [PMID: 37905402 DOI: 10.1017/s0954422423000264] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2023]
Abstract
Sleep deprivation, which is a decrease in duration and quality of sleep, is a common problem in today's life. Epidemiological and interventional investigations have suggested a link between sleep deprivation and overweight/obesity. Sleep deprivation affects homeostatic and non-homoeostatic regulation of appetite, with the food reward system playing a dominant role. Factors such as sex and weight status affect this regulation; men and individuals with excess weight seem to be more sensitive to reward-driven and hedonistic regulation of food intake. Sleep deprivation may also affect weight through affecting physical activity and energy expenditure. In addition, sleep deprivation influences food selection and eating behaviours, which are mainly managed by the food reward system. Sleep-deprived individuals mostly crave for palatable energy-dense foods and have low desire for fruit and vegetables. Consumption of meals may not change but energy intake from snacks increases. The individuals have more desire for snacks with high sugar and saturated fat content. The relationship between sleep and the diet is mutual, implying that diet and eating behaviours also affect sleep duration and quality. Consuming healthy diets containing fruit and vegetables and food sources of protein and unsaturated fats and low quantities of saturated fat and sugar may be used as a diet strategy to improve sleep. Since the effects of sleep deficiency differ between animals and humans, only evidence from human subject studies has been included, controversies are discussed and the need for future investigations is highlighted.
Collapse
Affiliation(s)
- Masoumeh Akhlaghi
- Department of Community Nutrition, School of Nutrition and Food Sciences, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Ali Kohanmoo
- Department of Community Nutrition, School of Nutrition and Food Sciences, Shiraz University of Medical Sciences, Shiraz, Iran
| |
Collapse
|
6
|
Huang J, Wang C, Zhang HB, Zheng H, Huang T, Di JZ. Neuroimaging and neuroendocrine insights into food cravings and appetite interventions in obesity. PSYCHORADIOLOGY 2023; 3:kkad023. [PMID: 38666104 PMCID: PMC10917384 DOI: 10.1093/psyrad/kkad023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Revised: 09/30/2023] [Accepted: 10/13/2023] [Indexed: 04/28/2024]
Abstract
This article reviews the previous studies on the distinction between food cravings and appetite, and how they are regulated by hormones and reflected in brain activity. Based on existing research, food cravings are defined as individual preferences influenced by hormones and psychological factors, which differ from appetite, as they are not necessarily related to hunger or nutritional needs. The article also evaluates the neuroimaging findings about food cravings, and interventions to reduce food cravings, such as mindfulness training, alternative sweeteners, non-invasive brain stimulation techniques, cognitive-behavioral therapy, and imaginal retraining, and points out their advantages, disadvantages, and limitations. Furthermore, the article delves into the potential future directions in the field, emphasizing the need for a neuroendocrine perspective, considerations for associated psychiatric disorders, innovative clinical interventions, and emerging therapeutic frontiers in obesity management. The article outlines the neuro-endocrine basis of food cravings, including ghrelin, leptin, melanocortin, oxytocin, glucagon-like peptide-1, baclofen, and other hormones and their brain regions of action. The article argues that food cravings are an important target for obesity, and more research is needed to explore their complex characteristics and mechanisms, and how to effectively interact with their neuro-endocrine pathways. The article provides a new perspective and approach to the prevention and treatment of obesity.
Collapse
Affiliation(s)
- Jin Huang
- Department of Metabolic & Bariatric Surgery, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai 200233, China
| | - Chen Wang
- Department of Metabolic & Bariatric Surgery, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai 200233, China
| | - Hang-Bin Zhang
- Shanghai Key Laboratory of Psychotic Disorders, Brain Health Institute, National Centre for Mental Disorders, Shanghai Mental Health Centre, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China
| | - Hui Zheng
- Shanghai Key Laboratory of Psychotic Disorders, Brain Health Institute, National Centre for Mental Disorders, Shanghai Mental Health Centre, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China
| | - Tao Huang
- Xuhui Health Care Commission, Shanghai 200030, China
| | - Jian-Zhong Di
- Department of Metabolic & Bariatric Surgery, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai 200233, China
| |
Collapse
|
7
|
von Ash T, Sanapo L, Bublitz MH, Bourjeily G, Salisbury A, Petrillo S, Risica PM. A Systematic Review of Studies Examining Associations between Sleep Characteristics with Dietary Intake and Eating Behaviors during Pregnancy. Nutrients 2023; 15:2166. [PMID: 37432287 PMCID: PMC10180733 DOI: 10.3390/nu15092166] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Revised: 04/22/2023] [Accepted: 04/28/2023] [Indexed: 07/12/2023] Open
Abstract
Little is known about the association between sleep and diet in pregnancy, despite both behaviors impacting maternal and fetal health. We aimed to perform a systematic review of the available literature on associations between sleep characteristics and dietary intake and eating behaviors during pregnancy, reporting on both maternal and fetal outcomes. We followed the 2020 Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines and conducted our search on 27 May 2021 in the PubMed, EMBASE, and CINAHL databases. The search yielded 6785 unique articles, of which 25 met our eligibility criteria. The studies, mostly observational, published 1993-2021, include data from 168,665 participants. Studies included examinations of associations between various maternal sleep measures with a diverse set of diet-related measures, including energy or nutrient intake (N = 12), dietary patterns (N = 9), and eating behaviors (N = 11). Associations of maternal exposures with fetal/infant outcomes were also examined (N = 5). We observed considerable heterogeneity across studies precluding our ability to perform a meta-analysis or form strong conclusions; however, several studies did report significant findings. Results from this systematic review demonstrate the need for consistency in methods across studies to better understand relationships between diet and sleep characteristics during pregnancy.
Collapse
Affiliation(s)
- Tayla von Ash
- Department of Behavioral and Social Sciences, School of Public Health, Brown University, Providence, RI 02903, USA
- Center for Health Promotion and Health Equity, School of Public Health, Brown University, Providence, RI 02903, USA
| | - Laura Sanapo
- Department of Medicine, The Miriam Hospital, Alpert Medical School, Providence, RI 02904, USA
| | - Margaret H. Bublitz
- Department of Psychiatry and Human Behavior, The Miriam Hospital, Alpert Medical School, Providence, RI 02904, USA
| | - Ghada Bourjeily
- Department of Medicine, The Miriam Hospital, Alpert Medical School, Providence, RI 02904, USA
| | - Amy Salisbury
- School of Nursing, Virginia Commonwealth University, Richmond, VA 23298, USA
| | - Sophia Petrillo
- School of Public Health, Brown University, Providence, RI 02903, USA
| | - Patricia Markham Risica
- Department of Behavioral and Social Sciences, School of Public Health, Brown University, Providence, RI 02903, USA
- School of Public Health, Brown University, Providence, RI 02903, USA
- Department of Epidemiology, School of Public Health, Brown University, Providence, RI 02903, USA
| |
Collapse
|
8
|
Gearhardt AN, DiFeliceantonio AG. Highly processed foods can be considered addictive substances based on established scientific criteria. Addiction 2023; 118:589-598. [PMID: 36349900 DOI: 10.1111/add.16065] [Citation(s) in RCA: 17] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Accepted: 09/15/2022] [Indexed: 11/10/2022]
Abstract
BACKGROUND There is growing evidence that an addictive-eating phenotype may exist. There is significant debate regarding whether highly processed foods (HPFs; foods with refined carbohydrates and/or added fats) are addictive. The lack of scientifically grounded criteria to evaluate the addictive nature of HPFs has hindered the resolution of this debate. ANALYSIS The most recent scientific debate regarding a substance's addictive potential centered around tobacco. In 1988, the Surgeon General issued a report identifying tobacco products as addictive based on three primary scientific criteria: their ability to (1) cause highly controlled or compulsive use, (2) cause psychoactive (i.e. mood-altering) effects via their effect on the brain and (3) reinforce behavior. Scientific advances have now identified the ability of tobacco products to (4) trigger strong urges or craving as another important indicator of addictive potential. Here, we propose that these four criteria provide scientifically valid benchmarks that can be used to evaluate the addictiveness of HPFs. Then, we review the evidence regarding whether HPFs meet each criterion. Finally, we consider the implications of labeling HPFs as addictive. CONCLUSION Highly processed foods (HPFs) can meet the criteria to be labeled as addictive substances using the standards set for tobacco products. The addictive potential of HPFs may be a key factor contributing to the high public health costs associated with a food environment dominated by cheap, accessible and heavily marketed HPFs.
Collapse
Affiliation(s)
| | - Alexandra G DiFeliceantonio
- Fralin Biomedical Research Institute at VTC, Roanoke, VA, USA.,Department of Human Nutrition Foods, and Exercise, Virginia Polytechnic Institute and State University, Blacksburg, VA, USA
| |
Collapse
|
9
|
Lu JX, Zhai YJ, Chen J, Zhang QH, Chen TZ, Lu CL, Jiang ZL, Guo L, Zheng H. Network analysis of internet addiction and sleep disturbance symptoms. Prog Neuropsychopharmacol Biol Psychiatry 2023; 125:110737. [PMID: 36868497 DOI: 10.1016/j.pnpbp.2023.110737] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/17/2022] [Revised: 11/16/2022] [Accepted: 02/25/2023] [Indexed: 03/05/2023]
Abstract
BACKGROUND Internet addiction (IA) is a behavioral addiction to problematic internet use. IA is associated with poorer sleep quality. Few studies to date, however, have explored the interactions between symptoms of IA and symptoms of sleep disturbance. This study uses network analysis to identify bridge symptoms by analyzing these interactions in a large sample of students. METHOD We recruited 1977 university students to participate in our study. Each student completed the Internet Addiction Test (IAT) and the Pittsburgh Sleep Quality Index (PSQI). We used these collected data for network analysis to identify the bridge symptoms in the IAT-PSQI network by calculating the bridge centrality. Furthermore, the closest symptom connected with the bridge symptom was found to identify the comorbidity mechanisms. RESULTS The core symptom of IA and the sleep disturbance network was "I08" (Study efficiency suffers due to internet use). The bridge symptoms between IA and sleep disturbance were "I14" (Surfing the internet late instead of sleeping), "P_DD" (Daytime dysfunction), and "I02" (Spending much time online instead of socializing in real life). Among the symptoms, "I14" had the highest bridge centrality. The edge connecting nodes "I14" and "P_SDu" (Sleep duration) had the strongest weight (0.102) around all the symptoms of sleep disturbance. Nodes "I14" and "I15" (Thinking about online shopping, games, social networking, and other network activities when unable to access the internet) had the strongest weight (0.181), connecting all the symptoms of IA. CONCLUSIONS IA leads to poorer sleep quality, most likely by shortening sleep duration. Preoccupation with and craving the internet while being offline may lead to this situation. Healthy sleep habits should be learned, and craving may be a good point at which to treat the symptoms of IA and sleep disturbance.
Collapse
Affiliation(s)
- Jian-Xia Lu
- School of Rehabilitation, Jiangsu Vocational College of Medicine, Yancheng 224005, China
| | - Yu-Jia Zhai
- College of Psychology, Zhejiang Normal University, Jinhua 321004, China
| | - Jin Chen
- School of Rehabilitation, Jiangsu Vocational College of Medicine, Yancheng 224005, China
| | - Qin-Han Zhang
- College of Psychology, Zhejiang Normal University, Jinhua 321004, China
| | - Tian-Zhen Chen
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Chun-Lei Lu
- College of Psychology, Zhejiang Normal University, Jinhua 321004, China
| | - Zhong-Li Jiang
- Department of Rehabilitation Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210024, China.
| | - Lei Guo
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - Hui Zheng
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| |
Collapse
|
10
|
Morales-Ghinaglia N, Fernandez-Mendoza J. Sleep variability and regularity as contributors to obesity and cardiometabolic health in adolescence. Obesity (Silver Spring) 2023; 31:597-614. [PMID: 36754840 PMCID: PMC9975080 DOI: 10.1002/oby.23667] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/14/2022] [Revised: 11/17/2022] [Accepted: 11/26/2022] [Indexed: 02/10/2023]
Abstract
OBJECTIVE Adolescence is a developmental stage of critical changes in sleep and its circadian timing when the contribution of abnormal sleep variability (amount) and sleep regularity (timing) to obesity and its associated adverse cardiometabolic health outcomes appears to increase. The aim of this study was to summarize findings from studies conducted in adolescents examining both sleep variability and regularity in relation to obesity and cardiometabolic health. Gaps in research and potential causal pathways that future studies should examine are highlighted. RESULTS Nightly deviations in sleep duration and sleep midpoint appear to contribute to the development of obesity and associated adverse cardiometabolic outcomes in youth. Studies show that increased sleep variability and irregularity are associated with obesity, decreased physical activity, dysregulated eating and inadequate diet, metabolic dysfunction, impaired cardiac autonomic balance, and elevated blood pressure in adolescents. CONCLUSIONS A stable circadian timing of sleep is essential to the overall physical well-being of youth. Emerging evidence supports that sleep variability and circadian misalignment, including sleep irregularity, contribute to adverse obesity-related health outcomes early on in adolescence. Future studies should focus on the underlying behavioral and biological mechanisms in the causal pathway between day-to-day deviations in the amount and timing of sleep and obesity.
Collapse
Affiliation(s)
- Natasha Morales-Ghinaglia
- Sleep Research & Treatment Center, Department of Psychiatry & Behavioral Health, Penn State University, College of Medicine, Hershey PA 17033
| | - Julio Fernandez-Mendoza
- Sleep Research & Treatment Center, Department of Psychiatry & Behavioral Health, Penn State University, College of Medicine, Hershey PA 17033
| |
Collapse
|
11
|
Juelich J, Owens R, Denny D, Raatz S, Lindseth G. Effects of Sleep on Adolescents' Appetite, Dietary Intake, and Weight. SAGE Open Nurs 2023; 9:23779608231206753. [PMID: 37881811 PMCID: PMC10594957 DOI: 10.1177/23779608231206753] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Revised: 08/20/2023] [Accepted: 09/23/2023] [Indexed: 10/27/2023] Open
Abstract
Introduction Several factors have been associated with excess weight gain in adolescents, including loss of sleep. Objective The purpose of this study is to examine the effects of sleep factors on appetite, dietary intake, and the body weights of adolescent youth. Methods A prospective correlational study design was used. Male and female adolescents (N = 76) ages 12-18 years completed a 5-night study. Sleep was assessed using Fitbits (88.5% accuracy) and the Pittsburgh Sleep Quality Index (PSQI) (test-retest reliability = .81); appetite was assessed by a Visual Analog Scale (α = 0.84); dietary intake was assessed by the Block Kids Food Screener (reliability up to .88); sleep hygiene was assessed using the Adolescent Sleep Hygiene Practice Scale (α = .67). Results Poor sleep quality was reported by 39.5% of participants, and 75% of participants had inadequate sleep time (7.33 h). Participants' age significantly correlated with PSQI scores (r = .28, p < .05) and BMI (r = .37, p < .01). Participants' PSQI scores significantly correlated with sleep hygiene (r = .45, p = .05) and appetite (r = .3 3, p < .01). Sleep latency significantly correlated with sleep hygiene (r = .32, p < .05). Several sleep hygiene factors correlated significantly with the participants' sleep quality, quantity and latency scores and dietary intakes. Conclusion These findings suggest that changes in sleep hygiene practices may improve adolescent sleep quality and quantity as well as appetite and dietary intake.
Collapse
Affiliation(s)
- Janell Juelich
- Division of Nursing, Mayville State University, Mayville, ND, USA
| | - Rhoda Owens
- College of Nursing and Professional Disciplines, University of North Dakota, Grand Forks, ND, USA
| | - Dawn Denny
- College of Nursing and Professional Disciplines, University of North Dakota, Grand Forks, ND, USA
| | - Susan Raatz
- Department of Food Science and Nutrition, University of Minnesota, Minneapolis, MN, USA
| | - Glenda Lindseth
- College of Nursing and Professional Disciplines, University of North Dakota, Grand Forks, ND, USA
| |
Collapse
|
12
|
Xu X, Zheng F, Cai Y, Lin J, Zeng Z, Wei S, Wu S. Sleep health and its related influencing factors in primary and middle school students in Fuzhou: A large multi-center cross-sectional study. Front Public Health 2022; 10:924741. [PMID: 35991023 PMCID: PMC9386349 DOI: 10.3389/fpubh.2022.924741] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2022] [Accepted: 07/13/2022] [Indexed: 11/24/2022] Open
Abstract
Background This current study set out to investigate the status of sleep health in 7–20-year-old students in Fuzhou and explore the related influencing factors of sleep health. Methods A total of 38,467 children and adolescents in Fuzhou were included in the study through a random stratified cluster sampling. Data were collected from May to June 2019, in 18 primary schools and 18 middle schools from nine districts, Fuzhou. Children's parents and adolescents of sampled classes were invited to fill out a series of questionnaires about the performance of the last 6 months (sociodemographic characteristics, sleep-related lifestyle behaviors, and electronic-products usage). Multiple linear regression was carried out to analyze data. Results Of the total 40,888 questionnaires we released, 38,467 were valid and effective with the response rate was 94.08%. The age of the surveyed participants was 11.85 ± 3.1, including 20,013 boys and 18,454 girls. The multiple linear regression analysis identified factors associated with sleep health (p < 0.05): Boy (coef = 0.073, 95% CI: 0.030–0.115), age (coef = 1.797, 95% CI: 0.224–0.243), key school (coef = 2.069, 95% CI: 0.105–0.193), urban (coef = 0.096, 95% CI: 0.054–0.139), excessive daytime sleepiness (coef = 0.535, 95% CI: 0.432–0.639), unhealthy sleep habits (coef = 0.363, 95% CI: 0.307–0.419), eating before sleep (coef = 0.578, 95% CI: 0.527–0.630), using electronic products in bedroom (coef = 0.074, 95% CI: 0.028–0.121), screen time per day during school (coef = 0.260, 95% CI: 0.235–0.284), frequency of using electronics 30 min before bedtime (coef = 0.150, 95% CI: 0.134–0.166), strained relationship with parents (coef = 0.361, 95% CI: 0.270–0.452), strained relationship with peers (coef = 0.267, 95% CI: 0.171–0.363), excessive homework or learning (coef = 0.189, 95% CI: 0.141–0.237), time for doing homework (coef = 0.266, 95% CI: 0.245–0.287), and mood swings frequently (coef = 1.174, 95% CI: 1.127–1.221) negatively impact sleep health. Sleep alone (coef = −0.204, 95% CI: −0.262–0.147) were the risk factors for sleep health. Furthermore, frequent mood swings was considered the most influential factor on overall variables. Conclusions Sleep health is associated with factors covered sociodemographic characteristics, family sleep habits, and routine activities before bedtime. Multiple measures should be taken to improve sleep quality in a targeted manner.
Collapse
Affiliation(s)
- Xingyan Xu
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China
| | - Fuhao Zheng
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China
- Office of Academic Research, Fujian Provincial Hospital, Fuzhou, China
| | - Yingying Cai
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China
| | - Jie Lin
- The Second Attached Hospital of Fujian Medical University, Quanzhou, China
| | - Zhaonan Zeng
- Center for Experimental Research in Clinical Medicine, Fujian Provincial Hospital, Fuzhou, China
| | - Shichao Wei
- Sleep Medicine Center, Fujian Provincial Hospital, Fuzhou, China
- *Correspondence: Shichao Wei
| | - Siying Wu
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China
- Siying Wu
| |
Collapse
|
13
|
Li A, Li X, Zhou T, Ma H, Heianza Y, Williamson DA, Smith SR, Bray GA, Sacks FM, Qi L. Sleep Disturbance and Changes in Energy Intake and Body Composition During Weight Loss in the POUNDS Lost Trial. Diabetes 2022; 71:934-944. [PMID: 35202470 PMCID: PMC9044134 DOI: 10.2337/db21-0699] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/06/2021] [Accepted: 02/15/2022] [Indexed: 11/13/2022]
Abstract
To examine associations between sleep disturbance and changes in weight and body composition and the mediating role of changes of appetite and food cravings in the Preventing Overweight Using Novel Dietary Strategies (POUNDS Lost) 2-year weight-loss diet intervention trial, this study included 810 overweight or obese individuals with baseline sleep disturbance assessment who were randomly assigned one of four diets varying in macronutrient composition. Changes in body weight and fat distribution were assessed by DEXA and computed tomography during the 2-year intervention. Participants were asked to provide sleep disturbance levels (no, slight, moderate, or great) at baseline and to recall their sleep disturbances since last visit at 6, 12, 18, and 24 months. Weight loss during the first 6 months was followed by 1.5 years of steady weight regain. Participants with greater sleep disturbance from baseline to 6 months showed significant losses of body weight (Ptrend <0.001) and waist circumference (Ptrend = 0.002) at 6 months, after multivariate adjustment. Compared with individuals without sleep disturbance at all from baseline to 6 months, those with slight, moderate, or great sleep disturbance showed an elevated risk of failure to lose weight (-5% or more loss) at 6 months, when the maximum weight loss was achieved, with an odds ratio of 1.24 (95% CI 0.87, 1.78), 1.27 (95% CI 0.75, 2.13), or 3.12 (95% CI 1.61, 6.03), respectively. In addition, we observed that the repeatedly measured levels of sleep disturbance over 2 years were inversely associated with the overall weight loss rate (weight changes per 6 months) (Ptrend <0.001). Further, sleep disturbances during weight loss from baseline to 6 months and weight regain from 6 months to 24 months were significantly predictive of total fat, total fat mass percent, and trunk fat percent changes during the 2 years. Our results also indicated that food cravings for carbohydrates/starches, fast food fats, and sweets; cravings, prospective consumption, hunger of appetite measurements; and dietary restraint, disinhibition, and hunger subscales measured at 6 months significantly mediated the effects of sleep disturbance on weight loss. In conclusion, our results suggested that more severe sleep disturbance during weight loss was associated with an elevated risk of failure to lose weight during the dietary intervention. Food cravings and eating behaviors may partly mediate these associations.
Collapse
Affiliation(s)
- Ang Li
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA
| | - Xiang Li
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA
| | - Tao Zhou
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA
| | - Hao Ma
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA
| | - Yoriko Heianza
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA
| | - Donald A. Williamson
- Pennington Biomedical Research Center, Louisiana State University, Baton Rouge, LA
| | - Steven R. Smith
- Pennington Biomedical Research Center, Louisiana State University, Baton Rouge, LA
| | - George A. Bray
- Pennington Biomedical Research Center, Louisiana State University, Baton Rouge, LA
| | - Frank M. Sacks
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Lu Qi
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA
| |
Collapse
|
14
|
Parker MN, LeMay-Russell S, Schvey NA, Crosby RD, Ramirez E, Kelly NR, Shank LM, Byrne ME, Engel SG, Swanson TN, Djan KG, Kwarteng EA, Faulkner LM, Zenno A, Brady SM, Yanovski SZ, Tanofsky-Kraff M, Yanovski JA. Associations of sleep with food cravings and loss-of-control eating in youth: An ecological momentary assessment study. Pediatr Obes 2022; 17:e12851. [PMID: 34498417 PMCID: PMC8766870 DOI: 10.1111/ijpo.12851] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/10/2021] [Revised: 07/14/2021] [Accepted: 08/16/2021] [Indexed: 12/14/2022]
Abstract
BACKGROUND Inconsistent sleep patterns may promote excess weight gain by increasing food cravings and loss-of-control (LOC)-eating; however, these relationships have not been elucidated in youth. OBJECTIVE We tested whether sleep duration and timing were associated with food cravings and LOC-eating. METHOD For 14 days, youths wore actigraphy monitors to assess sleep and reported severity of food cravings and LOC-eating using ecological momentary assessment. Generalized linear mixed models tested the associations between weekly and nightly shifts in facets of sleep (i.e., duration, onset, midpoint, and waketime) and next-day food cravings and LOC-eating. Models were re-run adjusting for relevant covariates (e.g., age, sex, adiposity). RESULTS Among 48 youths (12.88 ± 2.69 years, 68.8% female, 33.3% with overweight/obesity), neither weekly nor nightly facets of sleep were significantly associated with food cravings (ps = 0.08-0.93). Youths with shorter weekly sleep duration (est. ß = -0.31, p = 0.004), earlier weekly midpoints (est. ß = -0.47, p = 0.010) and later weekly waketimes (est. ß = 0.49, p = 0.010) reported greater LOC-eating severity; findings persisted in adjusted models. CONCLUSIONS In youth, weekly, but not nightly, shifts in multiple facets of sleep were associated with LOC-eating severity; associations were not significant for food cravings. Sleep should be assessed as a potentially modifiable target in paediatric LOC-eating and obesity prevention programs.
Collapse
Affiliation(s)
- Megan N. Parker
- Department of Medical and Clinical Psychology, Uniformed Services University of the Health Sciences (USU), Bethesda, MD, USA
- Section on Growth and Obesity, Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), Division of Intramural Research, National Institutes of Health (NIH), Bethesda, MD, USA
| | - Sarah LeMay-Russell
- Department of Medical and Clinical Psychology, Uniformed Services University of the Health Sciences (USU), Bethesda, MD, USA
- Section on Growth and Obesity, Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), Division of Intramural Research, National Institutes of Health (NIH), Bethesda, MD, USA
| | - Natasha A. Schvey
- Department of Medical and Clinical Psychology, Uniformed Services University of the Health Sciences (USU), Bethesda, MD, USA
- Section on Growth and Obesity, Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), Division of Intramural Research, National Institutes of Health (NIH), Bethesda, MD, USA
| | - Ross D. Crosby
- Sanford Center for Biobehavioral Research, Fargo, North Dakota, USA
- Department of Psychiatry and Behavioral Science, University of North Dakota School of Medicine and Health Sciences, Fargo, ND, USA
| | - Eliana Ramirez
- Section on Growth and Obesity, Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), Division of Intramural Research, National Institutes of Health (NIH), Bethesda, MD, USA
| | - Nichole R. Kelly
- Department of Counseling Psychology and Human Services, College of Education, Prevention Science Institute, University of Oregon, Eugene, Oregon, USA
| | - Lisa M. Shank
- Department of Medical and Clinical Psychology, Uniformed Services University of the Health Sciences (USU), Bethesda, MD, USA
- Section on Growth and Obesity, Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), Division of Intramural Research, National Institutes of Health (NIH), Bethesda, MD, USA
- Department of Medicine, Military Cardiovascular Outcomes Research (MiCOR) Program, USU, Bethesda, MD, USA
- Metis Foundation, San Antonio, TX, USA
| | - Meghan E. Byrne
- Department of Medical and Clinical Psychology, Uniformed Services University of the Health Sciences (USU), Bethesda, MD, USA
- Section on Growth and Obesity, Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), Division of Intramural Research, National Institutes of Health (NIH), Bethesda, MD, USA
| | - Scott G. Engel
- Sanford Center for Biobehavioral Research, Fargo, North Dakota, USA
| | - Taylor N. Swanson
- Section on Growth and Obesity, Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), Division of Intramural Research, National Institutes of Health (NIH), Bethesda, MD, USA
- Metis Foundation, San Antonio, TX, USA
| | - Kweku G. Djan
- Section on Growth and Obesity, Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), Division of Intramural Research, National Institutes of Health (NIH), Bethesda, MD, USA
| | - Esther A. Kwarteng
- Section on Growth and Obesity, Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), Division of Intramural Research, National Institutes of Health (NIH), Bethesda, MD, USA
| | - Loie M. Faulkner
- Section on Growth and Obesity, Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), Division of Intramural Research, National Institutes of Health (NIH), Bethesda, MD, USA
| | - Anna Zenno
- Section on Growth and Obesity, Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), Division of Intramural Research, National Institutes of Health (NIH), Bethesda, MD, USA
| | - Sheila M. Brady
- Section on Growth and Obesity, Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), Division of Intramural Research, National Institutes of Health (NIH), Bethesda, MD, USA
| | - Susan Z. Yanovski
- Office of Obesity Research, Division of Digestive Diseases and Nutrition, National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), National Institutes of Health (NIH), Bethesda, MD, USA
| | - Marian Tanofsky-Kraff
- Department of Medical and Clinical Psychology, Uniformed Services University of the Health Sciences (USU), Bethesda, MD, USA
- Section on Growth and Obesity, Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), Division of Intramural Research, National Institutes of Health (NIH), Bethesda, MD, USA
- Department of Medicine, Military Cardiovascular Outcomes Research (MiCOR) Program, USU, Bethesda, MD, USA
| | - Jack A. Yanovski
- Section on Growth and Obesity, Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), Division of Intramural Research, National Institutes of Health (NIH), Bethesda, MD, USA
| |
Collapse
|
15
|
Mobile Phone Radiation Deflects Brain Energy Homeostasis and Prompts Human Food Ingestion. Nutrients 2022; 14:nu14020339. [PMID: 35057520 PMCID: PMC8777647 DOI: 10.3390/nu14020339] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2021] [Revised: 01/10/2022] [Accepted: 01/11/2022] [Indexed: 12/23/2022] Open
Abstract
Obesity and mobile phone usage have simultaneously spread worldwide. Radio frequency-modulated electromagnetic fields (RF-EMFs) emitted by mobile phones are largely absorbed by the head of the user, influence cerebral glucose metabolism, and modulate neuronal excitability. Body weight adjustment, in turn, is one of the main brain functions as food intake behavior and appetite perception underlie hypothalamic regulation. Against this background, we questioned if mobile phone radiation and food intake may be related. In a single-blind, sham-controlled, randomized crossover comparison, 15 normal-weight young men (23.47 ± 0.68 years) were exposed to 25 min of RF-EMFs emitted by two different mobile phone types vs. sham radiation under fasting conditions. Spontaneous food intake was assessed by an ad libitum standard buffet test and cerebral energy homeostasis was monitored by 31phosphorus-magnetic resonance spectroscopy measurements. Exposure to both mobile phones strikingly increased overall caloric intake by 22–27% compared with the sham condition. Differential analyses of macronutrient ingestion revealed that higher calorie consumption was mainly due to enhanced carbohydrate intake. Measurements of the cerebral energy content, i.e., adenosine triphosphate and phosphocreatine ratios to inorganic phosphate, displayed an increase upon mobile phone radiation. Our results identify RF-EMFs as a potential contributing factor to overeating, which underlies the obesity epidemic. Beyond that, the observed RF-EMFs-induced alterations of the brain energy homeostasis may put our data into a broader context because a balanced brain energy homeostasis is of fundamental importance for all brain functions. Potential disturbances by electromagnetic fields may therefore exert some generalized neurobiological effects, which are not yet foreseeable.
Collapse
|
16
|
Fearnbach N, Staiano AE, Johannsen NM, Hsia DS, Beyl RA, Carmichael OT, Martin CK. Predictors of Post-Exercise Energy Intake in Adolescents Ranging in Weight Status from Overweight to Severe Obesity. Nutrients 2022; 14:223. [PMID: 35011098 PMCID: PMC8747392 DOI: 10.3390/nu14010223] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2021] [Revised: 01/01/2022] [Accepted: 01/02/2022] [Indexed: 11/17/2022] Open
Abstract
Exercise may sensitize individuals with overweight and obesity to appetitive signals (e.g., hunger and fullness cues), overriding trait eating behaviors that contribute to overeating and obesity, such as uncontrolled eating. The objective of the current study was to measure predictors of objective ad libitum energy intake at a laboratory-based, post-exercise test-meal in adolescents ranging in weight status from overweight to severe obesity. We hypothesized that appetitive states, rather than appetitive traits, would be the strongest predictors of energy intake at a post-exercise test-meal, after controlling for body size. At Baseline, 30 adolescents (ages 10-16 years, 50% female (F), 43% non-Hispanic white (NHW), 83% with obesity (OB)) completed state and trait appetite measures and an ad libitum dinner meal following intensive exercise. Nineteen of those participants (47% F, 32% NHW, 79% OB) completed identical assessments two years later (Year 2). Energy intake (kcal) at each time point was adjusted for fat-free mass index (i.e., body size). Adjusted energy intake was reliable from Baseline to Year 2 (ICC = 0.84). Multiple pre-meal appetite ratings were associated with test-meal energy intake. In stepwise linear regression models, pre-meal prospective food consumption was the strongest and only significant predictor of test-meal energy intake at both Baseline (R2 = 0.25, p = 0.005) and Year 2 (R2 = 0.41, p = 0.003). Baseline post-exercise energy intake was associated with weight change over two years (R2 = 0.24, p = 0.04), but not with change in fat mass (p = 0.11). Appetitive traits were not associated with weight or body composition change (p > 0.22). State appetite cues were the strongest predictors of post-exercise energy intake, independent of body size. Future studies should examine whether long-term exercise programs enhance responsiveness to homeostatic appetite signals in youth with overweight and obesity, with a goal to reduce excess energy intake and risk for weight gain over time.
Collapse
Affiliation(s)
- Nicole Fearnbach
- Pennington Biomedical Research Center, Baton Rouge, LA 70808, USA; (A.E.S.); (N.M.J.); (D.S.H.); (R.A.B.); (O.T.C.); (C.K.M.)
| | - Amanda E. Staiano
- Pennington Biomedical Research Center, Baton Rouge, LA 70808, USA; (A.E.S.); (N.M.J.); (D.S.H.); (R.A.B.); (O.T.C.); (C.K.M.)
| | - Neil M. Johannsen
- Pennington Biomedical Research Center, Baton Rouge, LA 70808, USA; (A.E.S.); (N.M.J.); (D.S.H.); (R.A.B.); (O.T.C.); (C.K.M.)
- School of Kinesiology, Louisiana State University, Baton Rouge, LA 70803, USA
| | - Daniel S. Hsia
- Pennington Biomedical Research Center, Baton Rouge, LA 70808, USA; (A.E.S.); (N.M.J.); (D.S.H.); (R.A.B.); (O.T.C.); (C.K.M.)
| | - Robbie A. Beyl
- Pennington Biomedical Research Center, Baton Rouge, LA 70808, USA; (A.E.S.); (N.M.J.); (D.S.H.); (R.A.B.); (O.T.C.); (C.K.M.)
| | - Owen T. Carmichael
- Pennington Biomedical Research Center, Baton Rouge, LA 70808, USA; (A.E.S.); (N.M.J.); (D.S.H.); (R.A.B.); (O.T.C.); (C.K.M.)
| | - Corby K. Martin
- Pennington Biomedical Research Center, Baton Rouge, LA 70808, USA; (A.E.S.); (N.M.J.); (D.S.H.); (R.A.B.); (O.T.C.); (C.K.M.)
| |
Collapse
|
17
|
Santos EVOD, Almeida ATCD, Ferreira FELDL. [Sleep duration, overweight and consumption of ultra-processed foods among adolescents]. CIENCIA & SAUDE COLETIVA 2021; 26:6129-6139. [PMID: 34910004 DOI: 10.1590/1413-812320212612.30862020] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2020] [Accepted: 10/05/2020] [Indexed: 11/22/2022] Open
Abstract
The scope of this article is to analyze the relationship between insufficient sleep duration, overweight/obesity and the consumption of ultra-processed foods among adolescents aged 10 to 14 years. This is a cross-sectional study, with an evaluation of 1,384 adolescents from public schools in João Pessoa-PB, participating in the Longitudinal Study on Sedentary Behavior, Physical Activity, Diet and Adolescent Health (LONCAAFS). Sociodemographic variables, sleep duration, class shift, anthropometric nutritional status, sedentary behavior and food consumption were measured. Linear and logistic regression of the following were performed using Stata 13.0 Software: the prevalence of short sleep duration of 29.5% (<9h/night); a significant association between short sleep duration and excess weight only for adolescents <12 years old. With respect to the relationship between sleep duration and the consumption of ultra-processed foods, the longer the sleep duration, the lower the consumption of snacks by adolescents under 12 years old, with a positive association for ≥12 years old only with adjustment by the physical activity variable. There was no association with the "sugary drinks" and "cookies" groups for any of the age groups analyzed.
Collapse
Affiliation(s)
- Elaine Valdna Oliveira Dos Santos
- Centro de Educação e Saúde, Universidade Federal de Campina Grande. Sítio Olho d'água da bica s/n, Olho d'água. 58175000 Cuité PB Brasil.
| | | | | |
Collapse
|
18
|
Association of sleep duration with risk of type 2 diabetes mellitus in a rural Chinese population: a nested case-control study. Sleep Breath 2021; 26:2025-2033. [PMID: 34839464 DOI: 10.1007/s11325-021-02535-5] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2021] [Revised: 11/07/2021] [Accepted: 11/22/2021] [Indexed: 10/19/2022]
Abstract
PURPOSE To investigate the association of sleep duration with type 2 diabetes mellitus (T2DM) in a rural Chinese population. METHODS A 1:1 matched nested case-control study was performed based on a cohort that had been established in rural communities in Henan Province, China. T2DM patients and healthy controls (550 pairs) were included in this study. RESULTS Abnormal sleep duration significantly increased the risk of T2DM with an approximate U-shaped association (sleep duration ≤ 6 h, OR = 1.742, 95% CI = 1.007-3.011, P = 0.047; sleep duration 8-9 h, OR = 1.462, 95% CI = 1.038-2.060, P = 0.030) compared with participants with a night sleep duration of 7-8 h, after adjusting for multiple confounders. When stratified by gender, only women were sensitive to shorter sleep duration (OR = 2.483, 95% CI = 1.149-5.366, P = 0.021). Abnormal sleep duration (too short or too long) had adverse effects on homeostasis model assessment (HOMA) and blood metabolites, and the effect was more noticeable in people with longer sleep durations. CONCLUSION In a rural Chinese population, both too short and too long sleep duration increased the risk of T2DM. Especially women with less sleep duration have a higher risk of T2DM. Abnormal sleep also affects the HOMA index and metabolites; the relationship between HOMA-IR, total cholesterol, and LDL-Cholesterol with sleep duration was U-shaped, while fasting plasma glucose, body mass index, waist circumference, and triglyceride levels increased significantly only with longer sleep duration.
Collapse
|
19
|
Marques CG, Dos Santos Quaresma MVL, Nakamoto FP, Magalhães ACO, Lucin GA, Thomatieli-Santos RV. Does Modern Lifestyle Favor Neuroimmunometabolic Changes? A Path to Obesity. Front Nutr 2021; 8:705545. [PMID: 34621773 PMCID: PMC8490681 DOI: 10.3389/fnut.2021.705545] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2021] [Accepted: 08/27/2021] [Indexed: 12/19/2022] Open
Abstract
Factors linked to modern lifestyles, such as physical inactivity, Western diet, and poor sleep quality have been identified as key contributors to the positive energy balance (PEB). PEB rises adipose tissue hypertrophy and dysfunction over the years, affecting cells and tissues that are metabolically critical for energy homeostasis regulation, especially skeletal muscle, hypothalamic-pituitary-adrenal axis, and gut microbiota. It is known that the interaction among lifestyle factors and tissue metabolic dysfunction increases low-grade chronic systemic inflammation, leading to insulin resistance and other adverse metabolic disorders. Although immunometabolic mechanisms are widely discussed in obesity, neuroimmunoendocrine pathways have gained notoriety, as a link to neuroinflammation and central nervous system disorders. Hypothalamic inflammation has been associated with food intake dysregulation, which comprises homeostatic and non-homeostatic mechanisms, promoting eating behavior changes related to the obesity prevalence. The purpose of this review is to provide an updated and integrated perspective on the effects of Western diet, sleep debt, and physical exercise on the regulation of energy homeostasis and low-grade chronic systemic inflammation. Subsequently, we discuss the intersection between systemic inflammation and neuroinflammation and how it can contribute to energy imbalance, favoring obesity. Finally, we propose a model of interactions between systemic inflammation and neuroinflammation, providing new insights into preventive and therapeutic targets for obesity.
Collapse
Affiliation(s)
- Camila Guazzelli Marques
- Programa de Pós-graduação em Psicobiologia, Departamento de Psicobiologia, Universidade Federal de São Paulo, São Paulo, Brazil
| | | | | | - Ana Carolina Oumatu Magalhães
- Programa de Pós-graduação em Psicobiologia, Departamento de Psicobiologia, Universidade Federal de São Paulo, São Paulo, Brazil.,Departamento de Nutrição, Centro Universitário São Camilo, São Paulo, Brazil
| | | | - Ronaldo Vagner Thomatieli-Santos
- Programa de Pós-graduação em Psicobiologia, Departamento de Psicobiologia, Universidade Federal de São Paulo, São Paulo, Brazil.,Departamento de Biociências, Universidade Federal de São Paulo, Santos, Brazil
| |
Collapse
|
20
|
Majak P, Molińska K, Latek M, Rychlik B, Wachulec M, Błauż A, Budniok A, Gruchała M, Lach J, Sobalska-Kwapis M, Baranowska M, Królikowska K, Strapagiel D, Majak J, Czech D, Pałczyński C, Kuna P. Upper-airway dysbiosis related to frequent sweets consumption increases the risk of asthma in children with chronic rhinosinusitis. Pediatr Allergy Immunol 2021; 32:489-500. [PMID: 33222307 DOI: 10.1111/pai.13417] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/07/2020] [Revised: 11/04/2020] [Accepted: 11/13/2020] [Indexed: 01/26/2023]
Abstract
BACKGROUND Innate immunity response to local dysbiosis seems to be one of the most important immunologic backgrounds of chronic rhinosinusitis (CRS) and concomitant asthma. We aimed to assess clinical determinants of upper-airway dysbiosis and its effect on nasal inflammatory profile and asthma risk in young children with CRS. METHODS We recruited one hundred and thirty-three children, aged 4-8 years with doctor-diagnosed CRS with or without asthma. The following procedures were performed in all participants: face-to-face standardized Sinus and Nasal Quality of Life questionnaire, skin prick test, taste perception testing, nasopharynx swab, and sampling of the nasal mucosa. Upper-airway dysbiosis was defined separately by asthma-specific microbiome composition and reduced biodiversity. Multivariate methods were used to define the risk factors for asthma and upper-airway dysbiosis and their specific inflammatory profile of nasal mucosa. RESULTS The asthma-specific upper-airway microbiome composition reflected by the decreased ratio of Patescibacteria/Actinobacteria independently of atopy increased the risk of asthma (OR:8.32; 95%CI: 2.93-23.6). This asthma-specific microbiome composition was associated with ≥ 7/week sweet consumption (OR:2.64; 95%C:1.11-6.28), reduced biodiversity (OR:3.83; 95%CI:1.65-8.87), the presence of Staphylococcus strains in the nasopharynx (OR:4.25; 95%CI:1.12-16.1), and lower expression of beta-defensin 2, IL-5, and IL-13 in the nasal mucosa. The reduced biodiversity was associated with frequent antibiotic use and with a higher nasal expression of IL-17 and T1R3 (sweet taste receptor). In asthmatic children, reduced sweet taste perception was observed. CONCLUSIONS Specific upper-airway dysbiosis related to frequent sweet consumption, frequent antibiotic courses, and altered nasal immune function increases the risk of asthma in young children with CRS.
Collapse
Affiliation(s)
- Paweł Majak
- Department of Pediatric Pulmonology, Medical University of Lodz, Lodz, Poland
| | - Katarzyna Molińska
- Department of Internal Medicine, Asthma and Allergy, Medical University of Lodz, Lodz, Poland
| | - Marta Latek
- Department of Internal Medicine, Asthma and Allergy, Medical University of Lodz, Lodz, Poland
| | - Błażej Rychlik
- Department of Molecular Biophysics, University of Lodz, Lodz, Poland
| | - Marcin Wachulec
- Department of Molecular Biophysics, University of Lodz, Lodz, Poland
| | - Andrzej Błauż
- Department of Molecular Biophysics, University of Lodz, Lodz, Poland
| | | | - Martyna Gruchała
- Department of Molecular Biophysics, University of Lodz, Lodz, Poland
| | - Jakub Lach
- Biobank Lab, Department of Molecular Biophysics, University of Lodz, Lodz, Poland
| | | | - Monika Baranowska
- Biobank Lab, Department of Molecular Biophysics, University of Lodz, Lodz, Poland
| | - Klaudyna Królikowska
- Biobank Lab, Department of Molecular Biophysics, University of Lodz, Lodz, Poland
| | - Dominik Strapagiel
- Biobank Lab, Department of Molecular Biophysics, University of Lodz, Lodz, Poland
| | - Joanna Majak
- Audiology and Phoniatrics Clinic, Nofer Institute of Occupational Medicine, Lodz, Poland
| | - Dorota Czech
- Department of Paediatric Otolaryngology, Audiology and Phoniatrics, Medical University of Lodz, Lodz, Poland
| | | | - Piotr Kuna
- Department of Internal Medicine, Asthma and Allergy, Medical University of Lodz, Lodz, Poland
| |
Collapse
|
21
|
Abstract
PURPOSE OF REVIEW This paper presents a review of the current literature in support of a model explaining the relationships between sleep health and risk for type 2 diabetes in adolescents. RECENT FINDINGS Short sleep duration is associated with risk of developing obesity in youth. Sleep restriction increases energy expenditure, but also increases hunger, appetite, and food intake, causing positive energy balance, impacting appetite-regulating hormones, and leading to increased eating late at night. Insufficient sleep may lead to reduced physical activity and greater sedentary behaviors. In addition, short sleep duration is associated with reduced insulin sensitivity. The cumulative negative consequences of insufficient sleep increase risk for type 2 diabetes. Applications to clinical care, public policy, and future research are discussed. Insufficient sleep in adolescence increases risk for type 2 diabetes directly through impact on insulin sensitivity and indirectly through increased dietary intake, sedentary activity, and weight gain.
Collapse
Affiliation(s)
- Stacey L. Simon
- grid.430503.10000 0001 0703 675XUniversity of Colorado Anschutz Medical Campus, Aurora, CO USA
| | - Janine Higgins
- grid.430503.10000 0001 0703 675XUniversity of Colorado Anschutz Medical Campus, Aurora, CO USA
| | - Edward Melanson
- grid.430503.10000 0001 0703 675XUniversity of Colorado Anschutz Medical Campus, Aurora, CO USA
- Eastern Colorado Veterans Affairs Geriatric Research, Education, and Clinical Center, Denver, CO USA
| | - Kenneth P. Wright
- grid.430503.10000 0001 0703 675XUniversity of Colorado Anschutz Medical Campus, Aurora, CO USA
- grid.266190.a0000000096214564University of Colorado Boulder, Boulder, CO USA
| | - Kristen J. Nadeau
- grid.430503.10000 0001 0703 675XUniversity of Colorado Anschutz Medical Campus, Aurora, CO USA
| |
Collapse
|
22
|
Arriola Torres LF, Palomino Taype KR, Quintana Castro L. Calidad de sueño y antojo por azúcares en médicos residentes durante la pandemia de COVID-19 en el Perú. NEUROLOGÍA ARGENTINA 2021. [PMCID: PMC7846215 DOI: 10.1016/j.neuarg.2021.01.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 12/02/2022]
Abstract
Antecedentes Durante la pandemia de COVID-19 los trabajadores de salud, especialmente los médicos residentes, atraviesan grandes niveles de presión emocional, carga laboral, riesgo de contagio, aislamiento familiar y cansancio físico. Estos factores podrían asociarse a alteraciones del sueño, como duración insuficiente y calidad insatisfactoria. Aunque no hay un estudio específico sobre problemas de sueño en esta población en Perú. Métodos Estudio observacional, prospectivo y transversal analítico realizado en 107 médicos residentes que laboraban en hospitales de referencia nacional del Perú. Para medir la calidad de sueño se utilizó el índice de Pittsburgh (IP) y se incluyeron preguntas sobre antojo por alimentos. El cuestionario fue estrictamente confidencial, se obtuvo el consentimiento informado de cada participante. Se realizó un análisis univariado, bivariado y multivariado. Resultados La edad media fue 32,37 años, el 54,6% fueron mujeres, el 52,3% trabajaban en áreas COVID-19, el 55,1% fueron desplazados a otras áreas ajenas a las de su especialidad, 13,1% habían padecido COVID-19, el 11,2% habían estado en confinamiento domiciliario. El 68,2% refirieron que tenían la necesidad de comer más (79,45% por azúcares simples). La media de tiempo de sueño fue de 5,90 horas, la media del puntaje del índice de Pittsburgh (IP) fue de 8,03. El 89,71% presentaron problemas de sueño (IP > 4). Se encontró asociación entre problema de sueño (IP > 4) y la necesidad de comer más (p < 0,001, OR 12,78 [2,58-63,21]) y realizar otras actividades con presentar problema de sueño (IP > 4) (p = 0,037; OR = 4,34). Conclusión Los médicos residentes tienen una alta prevalencia de problemas del sueño durante la pandemia de COVID-19, que se asocia a realizar actividades diferentes dentro de su formación, y además estos problemas se asocian a una mayor necesidad de comer.
Collapse
|
23
|
Relationship between Sleep and Hedonic Appetite in Shift Workers. Nutrients 2020; 12:nu12092835. [PMID: 32947981 PMCID: PMC7551988 DOI: 10.3390/nu12092835] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2020] [Revised: 09/11/2020] [Accepted: 09/12/2020] [Indexed: 12/12/2022] Open
Abstract
Short and/or poor sleep are established behavioral factors which can contribute to excess food intake, and emerging evidence suggests that disturbed circadian rhythms may also impact food intake regulation. Together, disturbed sleep and circadian rhythms may help explain the excess risk for obesity seen in shift workers. To date, however, the details of how shift work may impact food intake regulation are still not fully defined. Here we examined the relationship between sleep characteristics and hedonic control of appetite in shift workers. A total of 63 shift workers (mean (M) age: 36.7 years, standard deviation (SD): 12.0; 59% women) completed an online survey comprising self-reported measures of body weight regulation, sleep (Pittsburgh Sleep Quality Index, Sleep Hygiene Index), and hedonic control of appetite (Food Craving Inventory, Power of Food Scale). Seventy-one percent reported some weight change since starting shift work, and 84% of those reported weight gain (M = +11.3 kg, SD = 9.1). Worse sleep quality and shorter sleep duration were associated with more food cravings, and worse sleep quality and hygiene were associated with higher appetitive drive to consume palatable food (greater hedonic drive). This preliminary study suggests hedonic pathways are potentially contributing to weight gain in shift workers with disturbed sleep.
Collapse
|