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Rubino F, Cummings DE, Eckel RH, Cohen RV, Wilding JPH, Brown WA, Stanford FC, Batterham RL, Farooqi IS, Farpour-Lambert NJ, le Roux CW, Sattar N, Baur LA, Morrison KM, Misra A, Kadowaki T, Tham KW, Sumithran P, Garvey WT, Kirwan JP, Fernández-Real JM, Corkey BE, Toplak H, Kokkinos A, Kushner RF, Branca F, Valabhji J, Blüher M, Bornstein SR, Grill HJ, Ravussin E, Gregg E, Al Busaidi NB, Alfaris NF, Al Ozairi E, Carlsson LMS, Clément K, Després JP, Dixon JB, Galea G, Kaplan LM, Laferrère B, Laville M, Lim S, Luna Fuentes JR, Mooney VM, Nadglowski J, Urudinachi A, Olszanecka-Glinianowicz M, Pan A, Pattou F, Schauer PR, Tschöp MH, van der Merwe MT, Vettor R, Mingrone G. Definition and diagnostic criteria of clinical obesity. Lancet Diabetes Endocrinol 2025; 13:221-262. [PMID: 39824205 PMCID: PMC11870235 DOI: 10.1016/s2213-8587(24)00316-4] [Citation(s) in RCA: 105] [Impact Index Per Article: 105.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/12/2024] [Revised: 09/15/2024] [Accepted: 10/07/2024] [Indexed: 01/20/2025]
Abstract
Current BMI-based measures of obesity can both underestimate and overestimate adiposity and provide inadequate information about health at the individual level, which undermines medically-sound approaches to health care and policy. This Commission sought to define clinical obesity as a condition of illness that, akin to the notion of chronic disease in other medical specialties, directly results from the effect of excess adiposity on the function of organs and tissues. The specific aim of the Commission was to establish objective criteria for disease diagnosis, aiding clinical decision making and prioritisation of therapeutic interventions and public health strategies. To this end, a group of 58 experts—representing multiple medical specialties and countries—discussed available evidence and participated in a consensus development process. Among these commissioners were people with lived experience of obesity to ensure consideration of patients’ perspectives. The Commission defines obesity as a condition characterised by excess adiposity, with or without abnormal distribution or function of adipose tissue, and with causes that are multifactorial and still incompletely understood. We define clinical obesity as a chronic, systemic illness characterised by alterations in the function of tissues, organs, the entire individual, or a combination thereof, due to excess adiposity. Clinical obesity can lead to severe end-organ damage, causing life-altering and potentially life-threatening complications (eg, heart attack, stroke, and renal failure). We define preclinical obesity as a state of excess adiposity with preserved function of other tissues and organs and a varying, but generally increased, risk of developing clinical obesity and several other non-communicable diseases (eg, type 2 diabetes, cardiovascular disease, certain types of cancer, and mental disorders). Although the risk of mortality and obesity-associated diseases can rise as a continuum across increasing levels of fat mass, we differentiate between preclinical and clinical obesity (ie, health vs illness) for clinical and policy-related purposes. We recommend that BMI should be used only as a surrogate measure of health risk at a population level, for epidemiological studies, or for screening purposes, rather than as an individual measure of health. Excess adiposity should be confirmed by either direct measurement of body fat, where available, or at least one anthropometric criterion (eg, waist circumference, waist-to-hip ratio, or waist-to-height ratio) in addition to BMI, using validated methods and cutoff points appropriate to age, gender, and ethnicity. In people with very high BMI (ie, >40 kg/m2), however, excess adiposity can pragmatically be assumed, and no further confirmation is required. We also recommend that people with confirmed obesity status (ie, excess adiposity with or without abnormal organ or tissue function) should be assessed for clinical obesity. The diagnosis of clinical obesity requires one or both of the following main criteria: evidence of reduced organ or tissue function due to obesity (ie, signs, symptoms, or diagnostic tests showing abnormalities in the function of one or more tissue or organ system); or substantial, age-adjusted limitations of daily activities reflecting the specific effect of obesity on mobility, other basic activities of daily living (eg, bathing, dressing, toileting, continence, and eating), or both. People with clinical obesity should receive timely, evidence-based treatment, with the aim to induce improvement (or remission, when possible) of clinical manifestations of obesity and prevent progression to end-organ damage. People with preclinical obesity should undergo evidence-based health counselling, monitoring of their health status over time, and, when applicable, appropriate intervention to reduce risk of developing clinical obesity and other obesity-related diseases, as appropriate for the level of individual health risk. Policy makers and health authorities should ensure adequate and equitable access to available evidence-based treatments for individuals with clinical obesity, as appropriate for people with a chronic and potentially life-threatening illness. Public health strategies to reduce the incidence and prevalence of obesity at population levels must be based on current scientific evidence, rather than unproven assumptions that blame individual responsibility for the development of obesity. Weight-based bias and stigma are major obstacles in efforts to effectively prevent and treat obesity; health-care professionals and policy makers should receive proper training to address this important issue of obesity. All recommendations presented in this Commission have been agreed with the highest level of consensus among the commissioners (grade of agreement 90–100%) and have been endorsed by 76 organisations worldwide, including scientific societies and patient advocacy groups.
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Affiliation(s)
- Francesco Rubino
- Metabolic and Bariatric Surgery, School of Cardiovascular and Metabolic Medicine & Sciences, King's College London, London, UK; King's College Hospital, London, UK.
| | - David E Cummings
- University of Washington, Seattle, WA, USA; Veterans Affairs Puget Sound Health Care System, Seattle, WA, USA
| | - Robert H Eckel
- University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Ricardo V Cohen
- Center for the Treatment of Obesity and Diabetes, Hospital Alemão Oswaldo Cruz, São Paulo, Brazil
| | - John P H Wilding
- Department of Cardiovascular and Metabolic Medicine, University of Liverpool, Liverpool, UK
| | - Wendy A Brown
- Monash University Department of Surgery, Central Clinical School, Alfred Health, Melbourne, VIC, Australia
| | - Fatima Cody Stanford
- Neuroendocrine Unit, Division of Endocrinology, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA; Division of Endocrinology, Department of Pediatrics, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Rachel L Batterham
- International Medical Affairs, Eli Lilly, Basingstoke, UK; Diabetes and Endocrinology, University College London, London, UK
| | - I Sadaf Farooqi
- Institute of Metabolic Science and National Institute for Health and Care Research, Cambridge Biomedical Research Centre at Addenbrookes Hospital, Cambridge, UK
| | - Nathalie J Farpour-Lambert
- Obesity Prevention and Care Program, Department of Medicine, University Hospitals of Geneva, Geneva, Switzerland
| | - Carel W le Roux
- Diabetes Complications Research Centre, University College Dublin, Dublin, Ireland
| | - Naveed Sattar
- School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK
| | - Louise A Baur
- Sydney Medical School, The University of Sydney, Sydney, NSW, Australia; Weight Management Services, The Children's Hospital at Westmead, Sydney, NSW, Australia
| | - Katherine M Morrison
- Centre for Metabolism, Obesity and Diabetes Research, Department of Pediatrics, McMaster University, Hamilton, ON, Canada; McMaster Children's Hospital, Hamilton, ON, Canada
| | - Anoop Misra
- Fortis C-DOC Center of Excellence for Diabetes, Metabolic Diseases and Endocrinology, New Delhi, India; National Diabetes Obesity and Cholesterol Foundation, New Delhi, India; Diabetes Foundation New Delhi, India
| | | | - Kwang Wei Tham
- Department of Endocrinology, Woodlands Health, National Healthcare Group, Singapore; Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore
| | - Priya Sumithran
- Department of Surgery, School of Translational Medicine, Monash University, Melbourne, VIC, Australia; Department of Endocrinology and Diabetes, Alfred Health, Melbourne, VIC, Australia
| | - W Timothy Garvey
- Department of Nutrition Sciences, University of Alabama at Birmingham, Birmingham, AL, USA
| | - John P Kirwan
- Pennington Biomedical Research Center, Baton Rouge, LA, USA
| | - José-Manuel Fernández-Real
- CIBER Pathophysiology of Obesity and Nutrition, Girona, Spain; Department of Medical Sciences, School of Medicine, University of Girona, Girona, Spain; Hospital Trueta of Girona and Institut d'Investigació Biomèdica de Girona, Girona, Spain
| | - Barbara E Corkey
- Chobanian & Avedisian School of Medicine, Boston University, Boston, MA, USA
| | - Hermann Toplak
- Division of Endocrinology and Diabetology, Department of Medicine, University of Graz, Graz, Austria
| | - Alexander Kokkinos
- First Department of Propaedeutic Internal Medicine, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Robert F Kushner
- Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Francesco Branca
- Department of Nutrition and Food Safety, World Health Organization, Geneva, Switzerland
| | - Jonathan Valabhji
- Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, UK; Department of Diabetes and Endocrinology, Chelsea and Westminster Hospital National Health Service Foundation Trust, London, UK
| | - Matthias Blüher
- Helmholtz Institute for Metabolic, Obesity and Vascular Research of Helmholtz Munich, University of Leipzig and University Hospital Leipzig, Leipzig, Germany
| | - Stefan R Bornstein
- Department of Internal Medicine III, Carl Gustav Carus University Hospital Dresden, Technical University Dresden, Dresden, Germany; School of Cardiovascular and Metabolic Medicine & Sciences, Faculty of Life Sciences & Medicine, King's College London, London, UK
| | - Harvey J Grill
- Institute of Diabetes, Obesity and Metabolism, University of Pennsylvania, Philadelphia, PA, USA
| | - Eric Ravussin
- Pennington Biomedical Research Center, Baton Rouge, LA, USA
| | - Edward Gregg
- School of Population Health, Royal College of Surgeons in Ireland University of Medicine and Health Sciences, Dublin, Ireland; School of Public Health, Imperial College London, London, UK
| | - Noor B Al Busaidi
- National Diabetes and Endocrine Center, Royal Hospital, Muscat, Oman; Oman Diabetes Association, Muscat, Oman
| | - Nasreen F Alfaris
- Obesity Endocrine and Metabolism Center, King Fahad Medical City, Riyadh, Saudi Arabia
| | - Ebaa Al Ozairi
- Clinical Research Unit, Dasman Diabetes Institute, Dasman, Kuwait
| | - Lena M S Carlsson
- Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Karine Clément
- Nutrition and Obesities: Systemic Approaches, NutriOmics Research Group, INSERM, Sorbonne Université, Paris, France; Department of Nutrition, Pitié-Salpêtrière Hospital, Assistance Publique-Hospital of Paris, Paris, France
| | | | - John B Dixon
- Iverson Health Innovation Research institute, Swinburne University of Technology, Melbourne, VIC, Australia
| | - Gauden Galea
- Regional Office for Europe, World Health Organization, Geneva, Switzerland
| | - Lee M Kaplan
- Section on Obesity Medicine, Geisel School of Medicine at Dartmouth, Hanover, NH, USA
| | - Blandine Laferrère
- Division of Endocrinology, Columbia University Irving Medical Center, New York, NY, USA
| | | | - Soo Lim
- Department of Internal Medicine, Seoul National University College of Medicine and Seoul National University Bundang Hospital, Seoul, South Korea
| | | | - Vicki M Mooney
- European Coalition for people Living with Obesity, Dublin, Ireland
| | | | - Agbo Urudinachi
- Department of Community Health, Alex Ekwueme Federal University Teaching Hospital Abakaliki, Abakaliki, Nigeria
| | - Magdalena Olszanecka-Glinianowicz
- Health Promotion and Obesity Management Unit, Department of Pathophysiology, Faculty of Medical Science, Medical University of Silesia, Katowice, Poland
| | - An Pan
- School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Francois Pattou
- Translational Research for Diabetes, Lille University, Lille University Hospital, Inserm, Institut Pasteur Lille, Lille, France; Department of General and Endocrine Surgery, Lille University Hospital, Lille, France
| | | | - Matthias H Tschöp
- Helmholtz Munich, Munich, Germany; Technical University of Munich, Munich, Germany
| | - Maria T van der Merwe
- University of Pretoria, Pretoria, South Africa; Nectare Waterfall City Hospital, Midrand, South Africa
| | - Roberto Vettor
- Internal Medicine, Center for the Study and the Integrated Treatment of Obesity, Department of Medicine, University of Padova, Padua, Italy; Center for Metabolic and Nutrition Related Diseases,Humanitas Research Hospital, Milan, Italy
| | - Geltrude Mingrone
- Division of Diabetes & Nutritional Sciences, School of Cardiovascular and Metabolic Medicine & Sciences, King's College London, London, UK; Catholic University of the Sacred Heart, Rome, Italy; University Polyclinic Foundation Agostino Gemelli IRCCS, Rome, Italy
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Melanson KJ, Matsumoto CN, Greene GW. Eating pace instruction is effective in slowing eating rate in women with overweight and obesity. Eat Behav 2023; 48:101701. [PMID: 36682221 DOI: 10.1016/j.eatbeh.2023.101701] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/16/2022] [Revised: 12/29/2022] [Accepted: 01/04/2023] [Indexed: 01/11/2023]
Abstract
Slow eating is associated with lower body mass index (BMI), enhanced satiety, and reduced food intake in laboratory settings. This study developed and tested a 5-week slow-eating intervention, delivered either through individual or small group weekly meetings, in women with overweight and obesity. Women (n = 65; 20.5 ± 3.6 years; BMI 31.3 ± 2.7 kg/m2) were assigned to experimental or parallel non-treatment control. Main outcomes, measured pre- and post-intervention, included eating rate, meal duration, and energy intake during a standardized meal served on a universal eating monitor. Exploratory outcomes included Weight Related Eating Questionnaire (WREQ), Intuitive Eating Scale (IES), and Mindful Eating Questionnaire (MEQ) scores. All women in the experimental group underwent the same slow-eating intervention, but half had individual sessions while the other half had small group sessions. No differences were seen for any outcomes between session modalities, so experimental data were pooled (n = 25) and compared to control data (n = 25). Time-by-group interactions showed reduced eating rate (F(1,48df) = 13.04, η2 = 0.214, p = .001) and increased meal duration (F(1,48df) = 7.949, η2 = 0.142, p = .007) in the experimental group compared to the control group but change in energy intake was not significant (F(1,48df) = 3.298, η2 = 0.064, p = .076). Experimental within-group changes for WREQ subscale scores External Cues (t(23) = 3.779, p = .001) and Emotional Eating (t(23) = 2.282, p = .032) decreased over time, along with increased total and summary IES (t(23) = 2.6330, p = .015) and MEQ (t(23) = 2.663, p = .014) scores. Promising findings of reduced eating rate, increased meal duration, and improved WREQ, IES, and MEQ scores should be followed up in larger more diverse samples for longer durations.
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Affiliation(s)
- Kathleen J Melanson
- Department of Nutrition and Food Sciences, University of Rhode Island, Kingston, RI, USA.
| | - Carolyn N Matsumoto
- Department of Nutrition and Food Sciences, University of Rhode Island, Kingston, RI, USA
| | - Geoffrey W Greene
- Department of Nutrition and Food Sciences, University of Rhode Island, Kingston, RI, USA
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Hori S, Hori K, Yoshimura S, Uehara F, Sato N, Hasegawa Y, Akazawa K, Ono T. Masticatory Behavior Change with a Wearable Chewing Counter: A Randomized Controlled Trial. J Dent Res 2023; 102:21-27. [PMID: 36085580 DOI: 10.1177/00220345221118013] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
Because a relationship has been reported between masticatory behavior, obesity, and postprandial blood glucose, it is recommended to chew well and take a longer time to eat. The purpose of this study was to examine the possibility of changing masticatory behavior using a small ear-hung wearable chewing counter, which can monitor masticatory behavior without disturbing daily meals. In total, 235 healthy volunteers participated in a 4-wk randomized controlled trial and were divided into 3 groups. All participants were instructed about the importance of mastication at the first visit. During the intervention, group B used the chewing counter without an algorithm during each meal (notification of the number of chews after meal), and group C used the chewing counter with a masticatory behavior change algorithm (setting a target value and displaying the number of chews in real time). Group A was set as the control group. The number of chews and the meal time when consuming 1 rice ball (100 g) were measured before and after the intervention using the chewing counter, and the rate of change in these values was evaluated. Participants also provided a subjective evaluation of their changes in masticatory behavior. The number of chews and the meal time of 1 rice ball increased significantly in groups B and C compared with before the intervention, and the rate of change was significantly higher in group C than in group A and group B. In addition, the subjective evaluation of the change in the number of chews was highest in group C. Self-monitoring of masticatory behavior by providing a target value and the degree of achievement for the number of chews using a wearable chewing counter with a behavioral change algorithm could promote effective change in masticatory behavior and lead to an increased number of chews. (Trial ID: UMIN000034476).
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Affiliation(s)
- S Hori
- Division of Comprehensive Prosthodontics, Faculty of Dentistry and Graduate School of Medical and Dental Sciences, Niigata University, Niigata, Japan
| | - K Hori
- Division of Comprehensive Prosthodontics, Faculty of Dentistry and Graduate School of Medical and Dental Sciences, Niigata University, Niigata, Japan
| | - S Yoshimura
- Division of Comprehensive Prosthodontics, Faculty of Dentistry and Graduate School of Medical and Dental Sciences, Niigata University, Niigata, Japan
| | - F Uehara
- Division of Comprehensive Prosthodontics, Faculty of Dentistry and Graduate School of Medical and Dental Sciences, Niigata University, Niigata, Japan
| | - N Sato
- Division of Comprehensive Prosthodontics, Faculty of Dentistry and Graduate School of Medical and Dental Sciences, Niigata University, Niigata, Japan
| | - Y Hasegawa
- Division of Comprehensive Prosthodontics, Faculty of Dentistry and Graduate School of Medical and Dental Sciences, Niigata University, Niigata, Japan
| | - K Akazawa
- Department of Medical Informatics, Niigata University Medical and Dental Hospital, Japan
| | - T Ono
- Division of Comprehensive Prosthodontics, Faculty of Dentistry and Graduate School of Medical and Dental Sciences, Niigata University, Niigata, Japan
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Uehara F, Hori K, Hasegawa Y, Yoshimura S, Hori S, Kitamura M, Akazawa K, Ono T. Impact of Masticatory Behaviors Measured With Wearable Device on Metabolic Syndrome: Cross-sectional Study. JMIR Mhealth Uhealth 2022; 10:e30789. [PMID: 35184033 PMCID: PMC8990367 DOI: 10.2196/30789] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2021] [Revised: 10/16/2021] [Accepted: 02/18/2022] [Indexed: 11/29/2022] Open
Abstract
Background It has been widely recognized that mastication behaviors are related to the health of the whole body and to lifestyle-related diseases. However, many studies were based on subjective questionnaires or were limited to small-scale research in the laboratory due to the lack of a device for measuring mastication behaviors during the daily meal objectively. Recently, a small wearable masticatory counter device, called bitescan (Sharp Co), for measuring masticatory behavior was developed. This wearable device is designed to assess objective masticatory behavior by being worn on the ear in daily life. Objective This study aimed to investigate the relation between mastication behaviors in the laboratory and in daily meals and to clarify the difference in mastication behaviors between those with metabolic syndrome (MetS) and those without (non-MetS) measured using a wearable device. Methods A total of 99 healthy volunteers (50 men and 49 women, mean age 36.4 [SD 11.7] years) participated in this study. The mastication behaviors (ie, number of chews and bites, number of chews per bite, and chewing rate) were measured using a wearable ear-hung device. Mastication behaviors while eating a rice ball (100 g) in the laboratory and during usual meals for an entire day were monitored, and the daily energy intake was calculated. Participants’ abdominal circumference, fasting glucose concentration, blood pressure, and serum lipids were also measured. Mastication behaviors in the laboratory and during meals for 1 entire day were compared. The participants were divided into 2 groups using the Japanese criteria for MetS (positive/negative for MetS or each MetS component), and mastication behaviors were compared. Results Mastication behaviors in the laboratory and during daily meals were significantly correlated (number of chews r=0.36; P<.001; number of bites r=0.49; P<.001; number of chews per bite r=0.33; P=.001; and chewing rate r=0.51; P<.001). Although a positive correlation was observed between the number of chews during the 1-day meals and energy intake (r=0.26, P=.009), the number of chews per calorie ingested was negatively correlated with energy intake (r=–0.32, P=.002). Of the 99 participants, 8 fit the criteria for MetS and 14 for pre-MetS. The number of chews and bites for a rice ball in the pre-MetS(+) group was significantly lower than the pre-MetS(–) group (P=.02 and P=.04, respectively). Additionally, scores for the positive abdominal circumference and hypertension subgroups were also less than the counterpart groups (P=.004 and P=.01 for chews, P=.006 and P=.02 for bites, respectively). The number of chews and bites for an entire day in the hypertension subgroup were significantly lower than in the other groups (P=.02 and P=.006). Furthermore, the positive abdominal circumference and hypertension subgroups showed lower numbers of chews per calorie ingested for 1-day meals (P=.03 and P=.02, respectively). Conclusions These results suggest a relationship between masticatory behaviors in the laboratory and those during daily meals and that masticatory behaviors are associated with MetS and MetS components. Trial Registration University Hospital Medical Information Network Clinical Trials Registry R000034453; https://tinyurl.com/mwzrhrua
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Affiliation(s)
- Fumiko Uehara
- Division of Comprehensive Prosthodontics, Faculty of Dentistry and Graduate School of Medical and Dental Sciences, Niigata University, Niigata, Japan
| | - Kazuhiro Hori
- Division of Comprehensive Prosthodontics, Faculty of Dentistry and Graduate School of Medical and Dental Sciences, Niigata University, Niigata, Japan
| | - Yoko Hasegawa
- Division of Comprehensive Prosthodontics, Faculty of Dentistry and Graduate School of Medical and Dental Sciences, Niigata University, Niigata, Japan
| | - Shogo Yoshimura
- Division of Comprehensive Prosthodontics, Faculty of Dentistry and Graduate School of Medical and Dental Sciences, Niigata University, Niigata, Japan
| | - Shoko Hori
- Division of Comprehensive Prosthodontics, Faculty of Dentistry and Graduate School of Medical and Dental Sciences, Niigata University, Niigata, Japan
| | - Mari Kitamura
- School of Food Sciences and Nutrition, Mukogawa Women's University, Nishinomiya, Japan
| | - Kohei Akazawa
- Department of Medical Informatics, Niigata University Medical and Dental Hospital, Niigata, Japan
| | - Takahiro Ono
- Division of Comprehensive Prosthodontics, Faculty of Dentistry and Graduate School of Medical and Dental Sciences, Niigata University, Niigata, Japan
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Kissileff HR. The Universal Eating Monitor (UEM): objective assessment of food intake behavior in the laboratory setting. Int J Obes (Lond) 2022; 46:1114-1121. [PMID: 35233038 PMCID: PMC9151389 DOI: 10.1038/s41366-022-01089-0] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/08/2020] [Revised: 01/27/2022] [Accepted: 02/02/2022] [Indexed: 11/17/2022]
Abstract
The Universal Eating Monitor was a term used to describe a device used in a laboratory setting that enabled investigators to measure, with the same instrument, the rate of eating either solids or liquids, hence the term “universal”. It consisted of an electronic balance placed in a false panel under a table cloth on which could be placed a food reservoir that contained either solid or liquefied food. The device was created in order to determine whether rates of eating differed in pattern between solid and liquid foods. An acceptable mixture of foods of identical composition that could be served as either solid or blended as a liquid was used to test the hypothesis that eating rate and intake were affected by physical composition. A best-fitting mathematical function (intake was quadratic function of time, with coefficients varying among foods used and experimental conditions), quantified intake rates. The device was used to test a variety of mechanisms underlying food intake control. Eating rates were linear when solid foods were used, but negatively accelerated with liquids. Overall, intake did not differ between solid and liquefied food of identical composition. Satiation on a calorie for calorie basis was different among foods, but physical composition interacted with energy density. Hormones and gastric distension were strong influences on food intake and rate of eating. Individuals with bulimia nervosa and binge eating disorder ate more than individuals without these disturbances. Intake in social and individual contexts was identical, but the rate of eating was slower when two individuals dined together. The eating monitor has been a useful instrument for elucidating controls of food intake and describing eating pathology.
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Affiliation(s)
- Harry R Kissileff
- Mount Sinai Morningside Hospital and Department of Medicine Icahn School of Medicine, 1111 Amsterdam Ave., New York, NY, 10025, USA.
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Barrea L, Vetrani C, Verde L, Napolitano B, Savastano S, Colao A, Muscogiuri G. "Forever young at the table": metabolic effects of eating speed in obesity. J Transl Med 2021; 19:530. [PMID: 34952593 PMCID: PMC8709969 DOI: 10.1186/s12967-021-03199-1] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2021] [Accepted: 12/14/2021] [Indexed: 11/19/2022] Open
Abstract
Background Cardiometabolic diseases (CMD) are recognized as the main causes of morbidity and mortality in developed countries. In recent years eating speed (ES) has been of particular interest since some studies have associated it with the development of obesity and CMD. However, the different impact of the ES at which main meals are eaten on the risk of developing these diseases has not yet been identified. Thus, we aimed to investigate the effect of ES at the main meals (breakfast, lunch, and dinner) on the risk of developing cardiometabolic diseases (type 2 diabetes mellitus, dyslipidaemia and hypertension) in middle-aged Caucasian subjects with obesity. Methods For this purpose we carried out a cross-sectional, observational study. One hundred and eighty-seven middle-aged subjects aged 43.6 ± 16 years were enrolled of which anthropometric parameters and lifestyle habits were studied. A dietary interview was performed to collect information about meal duration and eating habits at the main meals. According to median value of meal duration, meals were classified in two groups: fast eating group (FEG) and slow eating group (SEG). Results The prevalence of dyslipidaemia was more than twice in FEG compared to SEG at lunch and dinner. For all main meals, FEG had a significantly higher risk of dyslipidaemia than SEG (p < 0.05) in unadjusted model. However, when the model was adjusted for age, BMI, physical activity, smoking and alcohol use and medication, the result remained significant for lunch and dinner (p < 0.05). Conclusion The results of our study suggest that fast eating increases at lunch and dinner increase the risk of developing dyslipidaemia in obesity.
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Affiliation(s)
- Luigi Barrea
- Department of Humanities, Pegaso Telematic University, 80143, Naples, Italy.,Italian Centre for the Care and Well-Being of Patients With Obesity (C.I.B.O), Department of Clinical Medicine and Surgery, Endocrinology Unit, Federico II University, Naples, Italy
| | - Claudia Vetrani
- Department of Clinical Medicine and Surgery, Endocrinology Unit, Federico II University, Naples, Italy
| | - Ludovica Verde
- Department of Clinical Medicine and Surgery, Endocrinology Unit, Federico II University, Naples, Italy
| | - Bruno Napolitano
- Italian Centre for the Care and Well-Being of Patients With Obesity (C.I.B.O), Department of Clinical Medicine and Surgery, Endocrinology Unit, Federico II University, Naples, Italy
| | - Silvia Savastano
- Italian Centre for the Care and Well-Being of Patients With Obesity (C.I.B.O), Department of Clinical Medicine and Surgery, Endocrinology Unit, Federico II University, Naples, Italy.,Department of Clinical Medicine and Surgery, Endocrinology Unit, Federico II University, Naples, Italy
| | - Annamaria Colao
- Italian Centre for the Care and Well-Being of Patients With Obesity (C.I.B.O), Department of Clinical Medicine and Surgery, Endocrinology Unit, Federico II University, Naples, Italy.,Department of Clinical Medicine and Surgery, Endocrinology Unit, Federico II University, Naples, Italy.,UNESCO Chair "Education for Health and Sustainable Development", Federico II University, Naples, Italy
| | - Giovanna Muscogiuri
- Italian Centre for the Care and Well-Being of Patients With Obesity (C.I.B.O), Department of Clinical Medicine and Surgery, Endocrinology Unit, Federico II University, Naples, Italy. .,Department of Clinical Medicine and Surgery, Endocrinology Unit, Federico II University, Naples, Italy. .,UNESCO Chair "Education for Health and Sustainable Development", Federico II University, Naples, Italy.
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Vintró-Alcaraz C, Baenas I, Lozano-Madrid M, Granero R, Ruiz-Canela M, Babio N, Corella D, Fitó M, Martínez JA, Alonso-Gómez ÁM, Wärnberg J, Vioque J, Romaguera D, López-Miranda J, Estruch R, Bernal-López MR, Lapetra J, Sánchez-Villegas A, Bueno-Cavanillas A, Tur JA, Martin-Sánchez V, Pintó X, Delgado-Rodríguez M, Matía-Martín P, Vidal J, Cárdenas JJ, Daimiel L, Ros E, Razquin C, Díaz-López A, González JI, Forcano L, Zulet MDLÁ, Bello-Mora MC, Valenzuela-Guerrero S, García de la Hera M, Konieczna J, García-Ríos A, Casas R, Gómez-Pérez AM, García-Arellano A, Bulló M, Sorli JV, Cuenca-Royo A, Abete I, Salaverria-Lete I, Basterra-Gortari FJ, de la Torre R, Salas-Salvadó J, Fernández-Aranda F. Psychological and metabolic risk factors in older adults with a previous history of eating disorder: A cross-sectional study from the Predimed-Plus study. EUROPEAN EATING DISORDERS REVIEW 2021; 29:575-587. [PMID: 33908163 DOI: 10.1002/erv.2833] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2021] [Revised: 02/25/2021] [Accepted: 02/26/2021] [Indexed: 01/05/2023]
Abstract
GOALS To explore affective and cognitive status, later in life, in individuals with and without previous history of eating disorder (ED), and also its association with higher risk for metabolic syndrome (MetS) symptomatology. METHODS A cross-sectional analysis of 6756 adults, aged 55-75 years with overweight/obesity and MetS participating in the Predimed-Plus study was conducted. Participants completed self-reported questionnaires to examine lifetime history of ED, according to DSM-5 criteria, and other psychopathological and neurocognitive factors. Anthropometric and metabolic measurements were also collected. RESULTS Of the whole sample, 24 individuals (0.35%) reported a previous history of ED. In this subsample, there were more women and singles compared to their counterparts, but they also presented higher levels of depressive symptoms and higher cognitive impairment, but also higher body mass index (BMI) and severe obesity, than those without lifetime ED. CONCLUSIONS This is one of the first studies to analyse the cognitive and metabolic impact of a previous history of ED. The results showed that previous ED was associated with greater affective and cognitive impairment, but also with higher BMI, later in life. No other MetS risk factors were found, after controlling for relevant variables.
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Affiliation(s)
- Cristina Vintró-Alcaraz
- Department of Psychiatry, Bellvitge University Hospital-IDIBELL, Barcelona, Spain
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Isabel Baenas
- Department of Psychiatry, Bellvitge University Hospital-IDIBELL, Barcelona, Spain
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - María Lozano-Madrid
- Department of Psychiatry, Bellvitge University Hospital-IDIBELL, Barcelona, Spain
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Roser Granero
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department de Psicobiologia i Metodologia de les Ciències de la Salut, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Miguel Ruiz-Canela
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Preventive Medicine and Public Health, Navarra Health Research Institute (IDISNA), University of Navarra, Pamplona, Spain
| | - Nancy Babio
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana, Reus, Spain
- Nutrition Unit, University Hospital of Sant Joan de Reus, Reus, Spain
- Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
| | - Dolores Corella
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Montserrat Fitó
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Cardiovascular risk and Nutrition group, Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
| | - José Alfredo Martínez
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Nutrition, Food Science and Physiology, University of Navarra, Pamplona, Spain
- Precision Nutrition Program IMDEA Food, CEI UAM +CSIC, Madrid, Spain
| | - Ángel M Alonso-Gómez
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Bioaraba Health Research Institute, Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain
| | - Julia Wärnberg
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- School of Health Sciences, Instituto de Investigación Biomédica de Málaga, IBIMA, University of Málaga, Málaga, Spain
| | - Jesús Vioque
- Instituto de Investigación Sanitaria y Biomédica de Alicante, ISABIAL-UMH, Alicante, Spain
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
| | - Dora Romaguera
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Research Group on Nutritional Epidemiology & Cardiovascular Physiopathology (NUTRECOR), Health Research Institute of the Balearic Islands (IdISBa), University Hospital Son Espases (HUSE), Palma de Mallorca, Spain
| | - José López-Miranda
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Lipids and Atherosclerosis Unit, Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, Córdoba, Spain
| | - Ramon Estruch
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Internal Medicine, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - María Rosa Bernal-López
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Internal Medicine Department, Regional University Hospital of Malaga, Instituto de Investigación Biomédica de Málaga (IBIMA), University of Málaga, Málaga, Spain
| | - José Lapetra
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Family Medicine, Research Unit, Distrito Sanitario Atención Primaria Sevilla, Sevilla, Spain
| | - Almudena Sánchez-Villegas
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Institute for Biomedical Research, University of Las Palmas de Gran Canaria, Las Palmas, Spain
| | - Aurora Bueno-Cavanillas
- Department of Preventive Medicine, University of Granada, Granada, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Instituto de Investigación Biosanitaria de Granada (ibs.Granada), Servicio Andaluz de Salud/Universidad de Granada, Granada, Spain
| | - Josep A Tur
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Research Group on Nutritional Epidemiology & Cardiovascular Physiopathology (NUTRECOR), Health Research Institute of the Balearic Islands (IdISBa), University Hospital Son Espases (HUSE), Palma de Mallorca, Spain
- Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands, Palma, Spain
| | - Vicente Martin-Sánchez
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
- Institute of Biomedicine (IBIOMED), University of León, León, Spain
| | - Xavier Pintó
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Lipids and Vascular Risk Unit, Internal Medicine, Hospital Universitario de Bellvitge, L'Hospitalet de Llobregat, Barcelona, Spain
| | | | - Pilar Matía-Martín
- Department of Endocrinology and Nutrition, Instituto de Investigación Sanitaria Hospital Clínico San Carlos (IdISSC), Madrid, Spain
| | - Josep Vidal
- Department of Endocrinology, IDIBAPS, Hospital Clinic, University of Barcelona, Barcelona, Spain
- CIBER Diabetes y Enfermedades Metabólicas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Jersy J Cárdenas
- Department of Endocrinology and Nutrition, University Hospital Fundación Jiménez Díaz, Madrid, Spain
| | - Lidia Daimiel
- Nutritional Control of the Epigenome Group, Precision Nutrition and Obesity Program, IMDEA Food, CEI UAM + CSIC, Madrid, Spain
| | - Emilio Ros
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Lipid Clinic, Endocrinology and Nutrition Service, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clínic, University of Barcelona, Barcelona, Spain
| | - Cristina Razquin
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Preventive Medicine and Public Health, Navarra Health Research Institute (IDISNA), University of Navarra, Pamplona, Spain
| | - Andrés Díaz-López
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana, Reus, Spain
- Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
- Serra Hunter Fellow, Universitat Rovira i Virgili, Reus, Spain
| | - José I González
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Laura Forcano
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Integrative Pharmacology and Systems Neurosciences, Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
| | - María de Los Ángeles Zulet
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Nutrition, Food Science and Physiology, University of Navarra, Pamplona, Spain
| | - Maria C Bello-Mora
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Bioaraba Health Research Institute, Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain
| | - Silvia Valenzuela-Guerrero
- School of Health Sciences, Instituto de Investigación Biomédica de Málaga, IBIMA, University of Málaga, Málaga, Spain
| | - Manoli García de la Hera
- Instituto de Investigación Sanitaria y Biomédica de Alicante, ISABIAL-UMH, Alicante, Spain
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
| | - Jadwiga Konieczna
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Research Group on Nutritional Epidemiology & Cardiovascular Physiopathology (NUTRECOR), Health Research Institute of the Balearic Islands (IdISBa), University Hospital Son Espases (HUSE), Palma de Mallorca, Spain
| | - Antonio García-Ríos
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Lipids and Atherosclerosis Unit, Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, Córdoba, Spain
| | - Rosa Casas
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Internal Medicine, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Ana M Gómez-Pérez
- Department of Endocrinology, Virgen de la Victoria Hospital, Instituto de Investigación Biomédica de Málaga (IBIMA), Málaga, Spain
| | - Ana García-Arellano
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Preventive Medicine and Public Health, Navarra Health Research Institute (IDISNA), University of Navarra, Pamplona, Spain
- Osasunbidea, Servicio Navarro de Salud, Pamplona, Spain
| | - Mònica Bulló
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana, Reus, Spain
- Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
| | - José V Sorli
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Aida Cuenca-Royo
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Integrative Pharmacology and Systems Neurosciences, Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
| | - Itziar Abete
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Nutrition, Food Science and Physiology, University of Navarra, Pamplona, Spain
| | - Itziar Salaverria-Lete
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Bioaraba Health Research Institute, Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain
| | - Francisco Javier Basterra-Gortari
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Preventive Medicine and Public Health, Navarra Health Research Institute (IDISNA), University of Navarra, Pamplona, Spain
- Osasunbidea, Servicio Navarro de Salud, Pamplona, Spain
| | - Rafael de la Torre
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Integrative Pharmacology and Systems Neurosciences, Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
| | - Jordi Salas-Salvadó
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana, Reus, Spain
- Nutrition Unit, University Hospital of Sant Joan de Reus, Reus, Spain
- Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
| | - Fernando Fernández-Aranda
- Department of Psychiatry, Bellvitge University Hospital-IDIBELL, Barcelona, Spain
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Clinical Sciences, School of Medicine, University of Barcelona, Barcelona, Spain
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Idris G, Smith C, Galland B, Taylor R, Robertson CJ, Bennani H, Farella M. Relationship between chewing features and body mass index in young adolescents. Pediatr Obes 2021; 16:e12743. [PMID: 33079494 DOI: 10.1111/ijpo.12743] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/17/2020] [Revised: 09/07/2020] [Accepted: 10/05/2020] [Indexed: 01/26/2023]
Abstract
BACKGROUND Behavioural aspects of chewing may influence food intake, nutritional status and in turn body weight. OBJECTIVES The current study aimed to study chewing features in adolescents as they naturally occur in home-based settings, and to test for a possible association with weight status. METHODS Forty-two adolescents (15.3 ± 1.3 years) were recruited (21 with healthy-weight/21 with overweight). Using a smartphone-assisted wearable electromyographic device, the chewing features of each participant were assessed over one evening, including the evening meal, in their natural home setting. RESULTS The mean (±SD) for chewing pace was 1.53 ± 0.22 Hz, chewing power 30.1% ± 4.8%, number of chewing episodes 63.1 ± 36.7 and chewing time 11.0 ± 7.7 minutes. The chewing pace of the group with overweight was slower than that of healthy weight (-0.20 Hz; 95% CI, -0.06 to -0.33; P = .005) while their chewing time was shorter (-4.9 minutes; 95% CI, 0.2-9.7; P = .044). A significant negative correlation was observed between BMI z-score and chewing pace (R = -.41; P = .007), and between BMI z-score and chewing time (R = -0.32; P = .039). CONCLUSION The current study suggests that adolescents who are overweight eat at a slower pace for a shorter period of time than their counterparts who are a healthy weight. This unexpected finding based on objective data appears to conflict with existing questionnaire findings but provides impetus for further work testing the effectiveness of changing eating behaviour as a weight-management intervention in youth.
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Affiliation(s)
- Ghassan Idris
- Sir John Walsh Research Institute, University of Otago, Dunedin, New Zealand.,Metro North Hospital and Health Service, Queensland Children's Hospital, Brisbane, Queensland, Australia
| | - Claire Smith
- Department of Women's and Children's Health, University of Otago, Dunedin, New Zealand.,Department of Human Nutrition, University of Otago, Dunedin, New Zealand
| | - Barbara Galland
- Department of Women's and Children's Health, University of Otago, Dunedin, New Zealand
| | - Rachael Taylor
- Department of Medicine, University of Otago, Dunedin, New Zealand
| | | | - Hamza Bennani
- Department of Computer Science, University of Otago, Dunedin, New Zealand
| | - Mauro Farella
- Sir John Walsh Research Institute, University of Otago, Dunedin, New Zealand
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Butler MJ, Perrini AA, Eckel LA. The Role of the Gut Microbiome, Immunity, and Neuroinflammation in the Pathophysiology of Eating Disorders. Nutrients 2021; 13:nu13020500. [PMID: 33546416 PMCID: PMC7913528 DOI: 10.3390/nu13020500] [Citation(s) in RCA: 40] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2020] [Revised: 01/19/2021] [Accepted: 01/29/2021] [Indexed: 12/23/2022] Open
Abstract
There is a growing recognition that both the gut microbiome and the immune system are involved in a number of psychiatric illnesses, including eating disorders. This should come as no surprise, given the important roles of diet composition, eating patterns, and daily caloric intake in modulating both biological systems. Here, we review the evidence that alterations in the gut microbiome and immune system may serve not only to maintain and exacerbate dysregulated eating behavior, characterized by caloric restriction in anorexia nervosa and binge eating in bulimia nervosa and binge eating disorder, but may also serve as biomarkers of increased risk for developing an eating disorder. We focus on studies examining gut dysbiosis, peripheral inflammation, and neuroinflammation in each of these eating disorders, and explore the available data from preclinical rodent models of anorexia and binge-like eating that may be useful in providing a better understanding of the biological mechanisms underlying eating disorders. Such knowledge is critical to developing novel, highly effective treatments for these often intractable and unremitting eating disorders.
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Affiliation(s)
- Michael J. Butler
- Institute for Behavioral Medicine Research, Ohio State University Wexner Medical Center, Columbus, OH 43210, USA;
| | - Alexis A. Perrini
- Department of Psychology and Program in Neuroscience, Florida State University, Tallahassee, FL 32306, USA;
| | - Lisa A. Eckel
- Department of Psychology and Program in Neuroscience, Florida State University, Tallahassee, FL 32306, USA;
- Correspondence: ; Tel.: +1-850-644-3480
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Eating Fast Is Associated with Nonalcoholic Fatty Liver Disease in Men But Not in Women with Type 2 Diabetes: A Cross-Sectional Study. Nutrients 2020; 12:nu12082174. [PMID: 32707957 PMCID: PMC7468737 DOI: 10.3390/nu12082174] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2020] [Revised: 07/19/2020] [Accepted: 07/21/2020] [Indexed: 12/14/2022] Open
Abstract
Non-alcoholic fatty liver disease (NAFLD), often complicated by type 2 diabetes mellitus (T2DM), is reported to be associated with diet habits, including eating speed, in the general population. However, the association between eating speed and NAFLD in patients with T2DM, especially sex difference, has not been reported so far. This cross-sectional study included 149 men and 159 women with T2DM. Eating speed was evaluated by a self-reported questionnaire and divided into three groups: fast, moderate, and slow eating. Nutrition status was evaluated by a brief-type self-administered diet history questionnaire. NAFLD was defined as the hepatic steatosis index ≥36 points. Body mass index and carbohydrate/fiber intake in the fast-eating group were higher than those in the slow-eating group in men, whereas this difference was absent in women. In men, compared with eating slowly, eating fast had an elevated risk of the presence of NAFLD after adjusting for covariates (odds ratio (OR) 4.48, 95% confidence interval (CI) 1.09–18.5, p = 0.038). In women, this risk was not found, but fiber intake was found to be negatively associated with the presence of NAFLD (OR 0.85, 95% Cl 0.76–0.96, p = 0.010). This study indicates that eating speed is associated with the presence of NAFLD in men but not in women.
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11
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Ekuni D, Furuta M, Kimura T, Toyama N, Fukuhara D, Uchida Y, Sawada N, Morita M. Association between intensive health guidance focusing on eating quickly and metabolic syndrome in Japanese middle-aged citizens. Eat Weight Disord 2020; 25:91-98. [PMID: 29882038 DOI: 10.1007/s40519-018-0522-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/26/2018] [Accepted: 05/15/2018] [Indexed: 01/06/2023] Open
Abstract
PURPOSE The purpose of this intervention study was to investigate whether intensive health guidance focusing on eating quickly can prevent metabolic syndrome (MetS) more effectively than standard routine guidance in Japanese citizens living in rural areas. METHODS This controlled, non-randomized, intervention study analyzed 141 participants with MetS at baseline. Participants in the intervention group received health guidance focusing on eating quickly and standard health guidance about MetS in accordance with the guidelines of the Ministry of Health, Labour and Welfare in Japan, whereas participants in the control group received only standard health guidance about MetS. The primary study outcome was the prevalence of MetS at a 1-year follow-up. RESULTS At 1-year follow-up, the prevalence of MetS in the intervention group was significantly lower than that in the control group (p = 0.003). The decreases in body weight, body mass index, waist circumference and triglycerides from baseline to 1 year were significantly greater in the intervention group than in the control group (p < 0.05). CONCLUSION Intensive health guidance focusing on eating quickly is more effective for improving MetS than standard Japanese health guidance alone. LEVEL OF EVIDENCE Level II, Evidence obtained from well-designed controlled trials without randomization. TRIAL REGISTRY NAME, REGISTRATION IDENTIFICATION NUMBER, AND URL FOR THE REGISTRY: UMIN, UMIN000030600, http://www.umin.ac.jp/ctr/index-j.htm.
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Affiliation(s)
- Daisuke Ekuni
- Departments of Preventive Dentistry, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, 2-5-1 Shikata-cho, Kita-ku, Okayama, 700-8558, Japan. .,Advanced Research Center for Oral and Craniofacial Sciences, Okayama University Dental School, Okayama, Japan.
| | - Michiko Furuta
- Section of Preventive and Public Health Dentistry, Division of Oral Health, Growth and Development, Faculty of Dental Science, Kyushu University, Fukuoka, Japan
| | | | - Naoki Toyama
- Departments of Preventive Dentistry, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, 2-5-1 Shikata-cho, Kita-ku, Okayama, 700-8558, Japan
| | - Daiki Fukuhara
- Departments of Preventive Dentistry, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, 2-5-1 Shikata-cho, Kita-ku, Okayama, 700-8558, Japan
| | - Yoko Uchida
- Departments of Preventive Dentistry, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, 2-5-1 Shikata-cho, Kita-ku, Okayama, 700-8558, Japan
| | - Nanami Sawada
- Departments of Preventive Dentistry, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, 2-5-1 Shikata-cho, Kita-ku, Okayama, 700-8558, Japan
| | - Manabu Morita
- Departments of Preventive Dentistry, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, 2-5-1 Shikata-cho, Kita-ku, Okayama, 700-8558, Japan
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Franco CR, Costa MB, De Paula RB, Chaoubah AC, Colugnati FAB, Ezequiel DGA. Compulsão alimentar periódica: aspecto negligenciado na abordagem de pacientes com síndrome metabólica. HU REVISTA 2019. [DOI: 10.34019/1982-8047.2018.v44.13947] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
A obesidade, um dos principais componentes da síndrome metabólica frequentemente associa-se à compulsão alimentar periódica (CAP). O objetivo do presente estudo foi avaliar a presença da CAP em mulheres com SM e a possível associação com parâmetros sociodemográficos, clínicos e comportamentais. Em estudo transversal foram selecionados 124 indivíduos com SM, distribuídos em dois grupos: Grupo 1 (ausência de CAP) e Grupo 2 (presença de CAP). A avaliação clínica incluiu medidas de peso e altura, circunferência da cintura e pressão arterial de consultório. Foram também avaliados parâmetros comportamentais, como presença de compulsão alimentar periódica, nível de atividade física, consumo de álcool, imagem corporal, sintomas depressivos e qualidade de vida. A avaliação laboratorial incluiu as dosagens de glicose e insulina, hormônio tiroestimulante, perfil lipídico e taxa de filtração glomerular estimada. Aplicou-se análise estatística através dos testes Qui Quadrado e t de Student. A média de idade das participantes foi 41±10,9 anos e a totalidade da amostra apresentava obesidade abdominal, com média da circunferência da cintura de 110±11,0 cm, 70% eram hipertensas, com média de Pressão Arterial Sistólica de 133±13,0 mmHg e Pressão Arterial Diastólica de 89±11,0 mmHg. Além disso, 95% eram sedentárias, 7% eram fumantes, 12% faziam uso nocivo do álcool, 98% declararam insatisfação com a imagem corporal e 62% apresentavam depressão. Observou-se presença de CAP em 57% das mulheres avaliadas. Houve associação entre CAP e idade, com predomínio na faixa etária entre 20 a 39 anos (p=0,010) e entre CAP e qualidade de vida (p=0,039). Quanto aos parâmetros laboratoriais, não foi observada diferença significativa entre os grupos. Em conclusão, a presença de CAP foi achado frequente em indivíduos com SM, sendo observada associação da CAP com faixa etária mais jovem e com pior qualidade de vida.Palavras-chave: Obesidade; Síndrome metabólica; Transtorno da compulsão alimentar.
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Paz-Graniel I, Babio N, Mendez I, Salas-Salvadó J. Association between Eating Speed and Classical Cardiovascular Risk Factors: A Cross-Sectional Study. Nutrients 2019; 11:83. [PMID: 30621124 PMCID: PMC6356451 DOI: 10.3390/nu11010083] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2018] [Revised: 12/26/2018] [Accepted: 12/26/2018] [Indexed: 12/18/2022] Open
Abstract
Cardiovascular disease (CVD) is one of the main causes of morbidity and mortality around the world. Lifestyle is recognized as a key factor in the development of metabolic disorders and CVD. Recently, eating speed has been of particular interest since some studies have associated it with the development of obesity and other cardiometabolic disorders. We aimed to assess the association between eating speed and various cardiovascular risk factors. We conducted a cross-sectional analysis within the framework of the PREDIMED (Prevención con Dieta Mediterránea) study with 792 participants from the Reus-Tarragona center. Eating speed was self-reported according to participant perception and categorized as slow, medium, or fast. The association between eating speed and cardiovascular risk factors was assessed using Cox regression models with constant time of follow-up for all individuals. Compared to participants in the slow eating speed category, those in the faster eating speed category were 59% more likely to have the hypertriglyceridemia component of the metabolic syndrome (MetS) (Hazard Ratio, (HR) 1.59; 95% Confidence Interval (CI) 1.16⁻2.17), even after adjustment for potential confounders (HR 1.47; 95% CI 1.08⁻2.02). No other significant differences were observed. Eating speed was positively associated with the prevalence of the hypertriglyceridemia component of the MetS in a senior population at high cardiovascular risk.
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Affiliation(s)
- Indira Paz-Graniel
- Department of Biochemistry and Biotechnology, Human Nutrition Unit, Universitat Rovira i Virgili, Institut d'Investigació Sanitària Pere i Virgili (IISPV), Hospital Universitati Sant Joan de Reus, Reus 43201, Spain.
| | - Nancy Babio
- Department of Biochemistry and Biotechnology, Human Nutrition Unit, Universitat Rovira i Virgili, Institut d'Investigació Sanitària Pere i Virgili (IISPV), Hospital Universitati Sant Joan de Reus, Reus 43201, Spain.
- Consorcio CIBER, M.P. (CIBEROBN), Fisiopatología de la Obesidad y la Nutrición, Instituto de Salud Carlos III (ISCIII), Madrid 28029, Spain.
| | - Ignacio Mendez
- Department of Biochemistry and Biotechnology, Human Nutrition Unit, Universitat Rovira i Virgili, Institut d'Investigació Sanitària Pere i Virgili (IISPV), Hospital Universitati Sant Joan de Reus, Reus 43201, Spain.
| | - Jordi Salas-Salvadó
- Department of Biochemistry and Biotechnology, Human Nutrition Unit, Universitat Rovira i Virgili, Institut d'Investigació Sanitària Pere i Virgili (IISPV), Hospital Universitati Sant Joan de Reus, Reus 43201, Spain.
- Consorcio CIBER, M.P. (CIBEROBN), Fisiopatología de la Obesidad y la Nutrición, Instituto de Salud Carlos III (ISCIII), Madrid 28029, Spain.
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Zeng X, Cai L, Ma J, Ma Y, Jing J, Chen Y. Eating fast is positively associated with general and abdominal obesity among Chinese children: A national survey. Sci Rep 2018; 8:14362. [PMID: 30254301 PMCID: PMC6156407 DOI: 10.1038/s41598-018-32498-9] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2018] [Accepted: 09/10/2018] [Indexed: 01/08/2023] Open
Abstract
Eating faster is related to more energy intake, but less is known about the relationships between children's eating speed, food intake and adiposity, especially in high school children. This study aimed to investigate the associations of eating speed with general and abdominal obesity among Chinese children basing on a national survey. A total of 50,037 children aged 7-17 years were enrolled from 7 provinces in China in 2013. Anthropometric indices were objectively measured. Data on eating speed were collected by questionnaires. Increasing trends across the slow, medium, and fast eating speed group were observed in the prevalence of general obesity (7.2%, 10.0% and 15.9%), abdominal obesity (16.1%, 21.8%, and 29.4%) and waist-to-height ratio (WHtR) ≥ 0.5 (11.1%, 14.8%, and 22.0%). Compared with medium eating speed, fast eating speed was positively associated with obesity, abdominal obesity, and WHtR ≥ 0.5 (odds ratios [ORs]: 1.51~1.61), while slow eating speed was negatively associated with these outcomes (ORs: 0.65~0.75). Increased trends of consumption of fruits, meat/meat conducts, sugar-sweetened beverages, fried food, and fast food were observed in pace with increasing eating speed (P < 0.05). Our findings suggest that eating speed is positively associated with childhood general and abdominal obesity, which may be an important, modifiable factor to prevent childhood obesity.
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Affiliation(s)
- Xia Zeng
- Department of Maternal and Child Health, School of Public Health, Sun Yat-Sen University, Guangdong, People's Republic of China
| | - Li Cai
- Department of Maternal and Child Health, School of Public Health, Sun Yat-Sen University, Guangdong, People's Republic of China
| | - Jun Ma
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing, People's Republic of China
| | - Yinghua Ma
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing, People's Republic of China
| | - Jin Jing
- Department of Maternal and Child Health, School of Public Health, Sun Yat-Sen University, Guangdong, People's Republic of China.
| | - Yajun Chen
- Department of Maternal and Child Health, School of Public Health, Sun Yat-Sen University, Guangdong, People's Republic of China.
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Ho CSH, Zhang MWB, Mak A, Ho RCM. Metabolic syndrome in psychiatry: advances in understanding and management. ACTA ACUST UNITED AC 2018. [DOI: 10.1192/apt.bp.113.011619] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
SummaryMetabolic syndrome comprises a number of cardiovascular risk factors that increase morbidity and mortality. The increase in incidence of the syndrome among psychiatric patients has been unanimously demonstrated in recent studies and it has become one of the greatest challenges in psychiatric practice. Besides the use of psychotropic drugs, factors such as genetic polymorphisms, inflammation, endocrinopathies and unhealthy lifestyle contribute to the association between metabolic syndrome and a number of psychiatric disorders. In this article, we review the current diagnostic criteria for metabolic syndrome and propose clinically useful guidelines for psychiatrists to identify and monitor patients who may have the syndrome. We also outline the relationship between metabolic syndrome and individual psychiatric disorders, and discuss advances in pharmacological treatment for the syndrome, such as metformin.LEARNING OBJECTIVES•Be familiar with the definition of metabolic syndrome and its parameters of measurement.•Appreciate how individual psychiatric disorders contribute to metabolic syndrome and vice versa.•Develop a framework for the prevention, screening and management of metabolic syndrome in psychiatric patients.
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Preliminary examination of metabolic syndrome response to motivational interviewing for weight loss as compared to an attentional control and usual care in primary care for individuals with and without binge-eating disorder. Eat Behav 2017; 26:108-113. [PMID: 28226308 PMCID: PMC5545172 DOI: 10.1016/j.eatbeh.2017.02.007] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/04/2016] [Revised: 02/09/2017] [Accepted: 02/13/2017] [Indexed: 12/18/2022]
Abstract
Motivational interviewing (MI) treatment for weight loss is being studied in primary care. The effect of such interventions on metabolic syndrome or binge eating disorder (BED), both highly related to excess weight, has not been examined in primary care. This study conducted secondary analyses from a randomized controlled trial to test the impact of MI for weight loss in primary care on metabolic syndrome. 74 adult participants with overweight/obesity recruited through primary care were randomized to 12weeks of either MI, an attentional control, or usual care. Participants completed measurements for metabolic syndrome at pre- and post-treatment. There were no statistically significant differences in metabolic syndrome rates at pre-, X2(2)=0.16, p=0.921, or post-, X2(2)=0.852, p=0.653 treatment. The rates in metabolic syndrome, however, decreased for MI (10.2%) and attentional control (13.8%) participants, but not for usual care. At baseline, metabolic syndrome rates did not differ significantly between participants with BED or without BED across treatments. At post-treatment, participants with BED were significantly more likely to meet criteria for metabolic syndrome than participants without BED, X2(1)=5.145, p=0.023, phi=0.273. Across treatments, metabolic syndrome remitted for almost a quarter of participants without BED (23.1%) but for 0% of those with BED. These preliminary results are based on a small sample and should be interpreted with caution, but they are the first to suggest that relatively low intensity MI weight loss interventions in primary care may decrease metabolic syndrome rates but not for individuals with BED.
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Marshall AT, Liu AT, Murphy NP, Maidment NT, Ostlund SB. Sex-specific enhancement of palatability-driven feeding in adolescent rats. PLoS One 2017; 12:e0180907. [PMID: 28708901 PMCID: PMC5510835 DOI: 10.1371/journal.pone.0180907] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2017] [Accepted: 06/22/2017] [Indexed: 11/24/2022] Open
Abstract
It has been hypothesized that brain development during adolescence perturbs reward processing in a way that may ultimately contribute to the risky decision making associated with this stage of life, particularly in young males. To investigate potential reward dysfunction during adolescence, Experiment 1 examined palatable fluid intake in rats as a function of age and sex. During a series of twice-weekly test sessions, non-food-deprived rats were given the opportunity to voluntarily consume a highly palatable sweetened condensed milk (SCM) solution. We found that adolescent male, but not female, rats exhibited a pronounced, transient increase in SCM intake (normalized by body weight) that was centered around puberty. Additionally, adult females consumed more SCM than adult males and adolescent females. Using a well-established analytical framework to parse the influences of reward palatability and satiety on the temporal structure of feeding behavior, we found that palatability-driven intake at the outset of the meal was significantly elevated in adolescent males, relative to the other groups. Furthermore, although we found that there were some group differences in the onset of satiety, they were unlikely to contribute to differences in intake. Experiment 2 confirmed that adolescent male rats exhibit elevated palatable fluid consumption, relative to adult males, even when a non-caloric saccharin solution was used as the taste stimulus, demonstrating that these results were unlikely to be related to age-related differences in metabolic need. These findings suggest that elevated palatable food intake during adolescence is sex specific and driven by a fundamental change in reward processing. As adolescent risk taking has been hypothesized as a potential result of hypersensitivity to and overvaluation of appetitive stimuli, individual differences in reward palatability may factor into individual differences in adolescent risky decision making.
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Affiliation(s)
- Andrew T. Marshall
- Department of Anesthesiology and Perioperative Care, Center for Addiction Neuroscience, University of California, Irvine, Irvine, California, United States of America
- * E-mail: (SBO); (ATM)
| | - Angela T. Liu
- Department of Anesthesiology and Perioperative Care, Center for Addiction Neuroscience, University of California, Irvine, Irvine, California, United States of America
| | - Niall P. Murphy
- Hatos Center, Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, California, United States of America
| | - Nigel T. Maidment
- Hatos Center, Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, California, United States of America
| | - Sean B. Ostlund
- Department of Anesthesiology and Perioperative Care, Center for Addiction Neuroscience, University of California, Irvine, Irvine, California, United States of America
- * E-mail: (SBO); (ATM)
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18
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Okubo H, Miyake Y, Sasaki S, Tanaka K, Hirota Y. Rate of eating in early life is positively associated with current and later body mass index among young Japanese children: the Osaka Maternal and Child Health Study. Nutr Res 2016; 37:20-28. [PMID: 28215311 DOI: 10.1016/j.nutres.2016.11.011] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2016] [Revised: 11/18/2016] [Accepted: 11/23/2016] [Indexed: 10/20/2022]
Abstract
The possible effect of eating rate on promoting obesity has attracted considerable attention among various age groups, but little is known about these associations in an early stage of life. We investigated the hypothesis that eating rate in early childhood influences current and later body mass index (BMI) among young Japanese children. The study participants were 492 Japanese mother-child pairs from a prospective birth cohort study. Information on rate of eating (slow, medium, or fast), macronutrient intake (protein, fat, and carbohydrate), and dietary fiber intake were collected from the mothers using a diet history questionnaire when the children were aged 29 to 39 months. Height and weight as measured at 30 and 42 months of age were used to calculate BMI at each age. Multiple linear regression analyses were performed to examine the relationships between eating rate in early childhood and BMI at 30 and 42 months. There were strong positive associations between eating rate and BMI at 30 and 42 months of age that were robust to adjustment for confounders including maternal BMI, socioeconomic status, health behaviors, and child's nutrient intake. In comparison with children in the "slow" rate of eating group, the size of the difference in BMI (95% confidence interval) at 42 months of age was 0.49 (0.17-0.80) and 0.67 (0.24-1.10) kg/m2 greater among children in the "medium" and "fast" groups, respectively. In conclusion, a higher rate of eating in early childhood was positively associated with not only current BMI but also BMI measured 1 year later in young Japanese children.
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Affiliation(s)
- Hitomi Okubo
- Department of Health Promotion, National Institute of Public Health, Saitama, Japan.
| | - Yoshihiro Miyake
- Department of Epidemiology and Preventive Medicine, Ehime University Graduate School of Medicine, Ehime, Japan
| | - Satoshi Sasaki
- Department of Social and Preventive Epidemiology, School of Public Health, The University of Tokyo, Tokyo, Japan
| | - Keiko Tanaka
- Department of Epidemiology and Preventive Medicine, Ehime University Graduate School of Medicine, Ehime, Japan
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Kamiko K, Aoki K, Kamiyama H, Taguri M, Terauchi Y. Comparison of Plasma Glucose and Gut Hormone Levels Between Drinking Enteral Formula Over a Period of 5 and 20 Minutes in Japanese Patients With Type 2 Diabetes: A Pilot Study. J Clin Med Res 2016; 8:749-52. [PMID: 27635181 PMCID: PMC5012245 DOI: 10.14740/jocmr2686w] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/08/2016] [Indexed: 11/22/2022] Open
Abstract
Background A fast eating speed is reportedly associated with obesity, fatty liver, and metabolic syndrome. As a comparison of postprandial glucose levels after eating quickly or slowly has not been previously reported for Japanese patients with type 2 diabetes, we evaluated the impact of the fast or slow ingestion of an enteral formula (liquid meal) on glucose metabolism. Methods Ten Japanese patients with type 2 diabetes who had been hospitalized at our hospital were enrolled. All the subjects received an enteral formula for breakfast. The study was performed over a 2-day period in each subject (day 1: enteral formula was consumed over a 5-minute period; day 2: enteral formula was consumed over a 20-minute period). The subjects were requested to fast for at least 12 hours before eating breakfast, and blood samples were collected at 0, 30, 60, and 120 min after the start of breakfast. Results The areas under the curve (AUCs) of the plasma glucose, serum insulin, plasma active ghrelin, glucagon-like peptide-1 (GLP-1), plasma total glucose-dependent insulinotropic polypeptide (GIP), and serum total peptide YY (PYY) levels were not significantly changed by intake over a 5-minute or 20-minute period. Conclusions Eating quickly per se probably does not affect postprandial glucose excursions, but the increased energy intake resulting from eating quickly may increase the body weight and increase insulin resistance. Eating quickly may increase energy intake and worsen long-term metabolic parameters.
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Affiliation(s)
- Kazunari Kamiko
- Department of Endocrinology and Metabolism, Yokohama City University Graduate School of Medicine, Japan
| | - Kazutaka Aoki
- Department of Endocrinology and Metabolism, Yokohama City University Graduate School of Medicine, Japan; Internal Medicine, Kanagawa Dental University, Japan
| | - Hiroshi Kamiyama
- Department of Endocrinology and Metabolism, Yokohama City University Graduate School of Medicine, Japan
| | - Masataka Taguri
- Department of Biostatistics, Yokohama City University Graduate School of Medicine, Japan
| | - Yasuo Terauchi
- Department of Endocrinology and Metabolism, Yokohama City University Graduate School of Medicine, Japan
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Succurro E, Segura-Garcia C, Ruffo M, Caroleo M, Rania M, Aloi M, De Fazio P, Sesti G, Arturi F. Obese Patients With a Binge Eating Disorder Have an Unfavorable Metabolic and Inflammatory Profile. Medicine (Baltimore) 2015; 94:e2098. [PMID: 26717356 PMCID: PMC5291597 DOI: 10.1097/md.0000000000002098] [Citation(s) in RCA: 88] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
To evaluate whether obese patients with a binge eating disorder (BED) have an altered metabolic and inflammatory profile related to their eating behaviors compared with non-BED obese.A total of 115 White obese patients consecutively recruited underwent biochemical, anthropometrical evaluation, and a 75-g oral glucose tolerance test. Patients answered the Binge Eating Scale and were interviewed by a psychiatrist. The patients were subsequently divided into 2 groups according to diagnosis: non-BED obese (n = 85) and BED obese (n = 30). Structural equation modeling analysis was performed to elucidate the relation between eating behaviors and metabolic and inflammatory profile.BED obese exhibited significantly higher percentages of altered eating behaviors, body mass index (P < 0.001), waist circumference (P < 0.01), fat mass (P < 0.001), and a lower lean mass (P < 0.001) when compared with non-BED obese. Binge eating disorder obese also had a worse metabolic and inflammatory profile, exhibiting significantly lower high-density lipoprotein cholesterol levels (P < 0.05), and higher levels of glycated hemoglobin (P < 0.01), uric acid (P < 0.05), erythrocyte sedimentation rate (P < 0.001), high-sensitive C-reactive protein (P < 0.01), and white blood cell counts (P < 0.01). Higher fasting insulin (P < 0.01) and higher insulin resistance (P < 0.01), assessed by homeostasis model assessment index and visceral adiposity index (P < 0.001), were observed among BED obese. All differences remained significant after adjusting for body mass index. No significant differences in fasting plasma glucose or 2-hour postchallenge plasma glucose were found. Structural equation modeling analysis confirmed the relation between the altered eating behaviors of BED and the metabolic and inflammatory profile.Binge eating disorder obese exhibited an unfavorable metabolic and inflammatory profile, which is related to their characteristic eating habits.
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Affiliation(s)
- Elena Succurro
- From the Department of Medical and Surgical Sciences (ES, MR, GS, FA) and the Department of Health Sciences (CS-G, MC, MR, MA, PDF), University "Magna Graecia" of Catanzaro, Catanzaro, Italy
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Brandão I, Ramalho S, Pinto-Bastos A, Arrojado F, Faria G, Calhau C, Coelho R, Conceição E. Metabolic profile and psychological variables after bariatric surgery: association with weight outcomes. Eat Weight Disord 2015; 20:513-8. [PMID: 26122195 DOI: 10.1007/s40519-015-0199-7] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/26/2015] [Accepted: 06/11/2015] [Indexed: 01/27/2023] Open
Abstract
PURPOSE This study aims to examine associations between metabolic profile and psychological variables in post-bariatric patients and to investigate if metabolic and psychological variables, namely high-density lipoprotein cholesterol (HDL-C), triglycerides (TG), glycated hemoglobin (HbA 1c), impulsivity, psychological distress, depressive and eating disorder symptoms are independently associated with percentage of excess weight loss (%EWL) after bariatric surgery. METHODS One hundred and fifty bariatric patients (BMI = 33.04 ± 5.8 kg/m(2)) who underwent to bariatric surgery for more than 28.63 ± 4.9 months were assessed through a clinical interview, a set of self-report measures and venous blood samples. Pearson's correlations were used to assess correlations between %EWL, metabolic and psychological variables. Multiple linear regression was conducted to investigate which metabolic and psychological variables were independently associated with %EWL, while controlling for type of surgery. RESULTS Higher TG blood levels were associated with higher disordered eating, psychological distress and depression scores. HDL-C was associated with higher depression scores. Both metabolic and psychological variables were associated with %EWL. Regression analyses showed that, controlling for type of surgery, higher % EWL is significantly and independently associated with less disordered eating symptoms and lower TG and HbA_1c blood concentrations (R (2) aj = 0.383, F (4, 82) = 14.34, p < 0.000). CONCLUSION An association between metabolic and psychological variables, particularly concerning TG blood levels, disordered eating and psychological distress/depression was found. Only higher levels of disordered eating, TG and HbA_1c showed and independent correlation with less weight loss. Targeting maladaptive eating behaviors may be a reasonable strategy to avoid weight regain and optimize health status post-operatively.
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Affiliation(s)
- Isabel Brandão
- Faculty of Medicine, University of Porto, Hospital de São João, Alameda Prof. Hernâni Monteiro, 4200-319, Porto, Portugal
| | - Sofia Ramalho
- University of Minho, School of Psychology, Campus Gualtar, 4710-057, Braga, Portugal
| | - Ana Pinto-Bastos
- University of Minho, School of Psychology, Campus Gualtar, 4710-057, Braga, Portugal
| | - Filipa Arrojado
- Faculty of Medicine, University of Porto, Hospital de São João, Alameda Prof. Hernâni Monteiro, 4200-319, Porto, Portugal.,University of Minho, School of Psychology, Campus Gualtar, 4710-057, Braga, Portugal
| | - Gil Faria
- CINTESIS-Center for Research in Health Technologies and Information Systems, 4200-450, Porto, Portugal.,Department of General Surgery, Oporto Hospital Center, Porto, Portugal
| | - Conceição Calhau
- Department of General Surgery, Oporto Hospital Center, Porto, Portugal.,Department of Biochemistry, Faculty of Medicine, University of Porto, Centro de Investigação Médica, 4200-450, Porto, Portugal
| | - Rui Coelho
- Faculty of Medicine, University of Porto, Hospital de São João, Alameda Prof. Hernâni Monteiro, 4200-319, Porto, Portugal
| | - Eva Conceição
- University of Minho, School of Psychology, Campus Gualtar, 4710-057, Braga, Portugal.
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Wahlqvist ML, Krawetz SA, Rizzo NS, Dominguez-Bello MG, Szymanski LM, Barkin S, Yatkine A, Waterland RA, Mennella JA, Desai M, Ross MG, Krebs NF, Young BE, Wardle J, Wrann CD, Kral JG. Early-life influences on obesity: from preconception to adolescence. Ann N Y Acad Sci 2015; 1347:1-28. [PMID: 26037603 PMCID: PMC4522218 DOI: 10.1111/nyas.12778] [Citation(s) in RCA: 40] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2015] [Accepted: 03/30/2015] [Indexed: 12/12/2022]
Abstract
The double burden of under- and overnutrition profoundly affects human health globally. According to the World Health Organization, obesity and diabetes rates have almost doubled worldwide since 1980, and, in 2011, more than 40 million children under 5 years of age were overweight. Ecologic factors, parental genetics and fitness, and the intrauterine environment significantly influence the likelihood of offspring developing the dysmetabolic diathesis of obesity. This report examines the effects of these factors, including preconception, intrauterine and postnatal energy balance affecting programming of transgenerational transmission, and development of chronic diseases later in life-in particular, diabesity and its comorbidities.
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Affiliation(s)
| | - Stephen A Krawetz
- C.S. Mott Center for Human Growth and Development and Center for Molecular Medicine and Genetics, Department of Obstetrics and Gynecology, Wayne State University, Detroit, Michigan
| | - Nico S Rizzo
- Center of Community Resilience, School of Public Health, Loma Linda University, Loma Linda, California
- Department of Biosciences and Nutrition, Karolinska Institutet, Stockholm, Sweden
| | | | | | - Shari Barkin
- Vanderbilt University Medical Center, Nashville, Tennessee
| | - Ann Yatkine
- Vanderbilt University Medical Center, Nashville, Tennessee
| | - Robert A Waterland
- Departments of Pediatrics and Molecular and Human Genetics, Baylor College of Medicine and USDA/ARS Children's Nutrition Research Center, Houston, Texas
| | | | - Mina Desai
- University of California Los Angeles Medical Center, Los Angeles, California
| | - Michael G Ross
- University of California Los Angeles Medical Center, Los Angeles, California
| | - Nancy F Krebs
- University of Colorado School of Medicine, Aurora, Colorado
| | | | - Jane Wardle
- Department of Epidemiology and Public Health, University College London, London, United Kingdom
| | - Christiane D Wrann
- Dana-Farber Cancer Institute and Department of Cell Biology, Harvard Medical School, Boston, Massachusetts
| | - John G Kral
- SUNY Downstate Medical Center, Brooklyn, New York
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Zhu B, Haruyama Y, Muto T, Yamazaki T. Association between eating speed and metabolic syndrome in a three-year population-based cohort study. J Epidemiol 2015; 25:332-6. [PMID: 25787239 PMCID: PMC4375288 DOI: 10.2188/jea.je20140131] [Citation(s) in RCA: 62] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023] Open
Abstract
Background Metabolic syndrome has received increased global attention over the past few years. Eating behaviors, particularly eating speed, have long been of interest as factors that contribute to the development of obesity and diabetes. The aim of this study was to assess the relationship between eating speed and incidence of metabolic syndrome among middle-aged and elderly Japanese people. Methods A total of 8941 community residents from Soka City in Saitama Prefecture, aged from 40 to 75 years and without a diagnosis of metabolic syndrome, participated in the baseline survey in 2008 and were followed until 2011. Anthropometric measurements and lifestyle factors were measured at baseline and follow-up. The association between eating speed and incidence of metabolic syndrome was evaluated using Cox proportional hazards models adjusted for potential confounding variables. Results During the 3-year follow-up, 647 people were diagnosed with metabolic syndrome (25.0 cases/1000 person-years). The incidence rates of metabolic syndrome among non-fast-eating and fast-eating participants were 2.3% and 3.1%, respectively. The multivariate-adjusted hazard ratio for incidence of metabolic syndrome in the fast-eating group compared to the not-fast-eating group was 1.30 (95% confidence interval [CI], 1.05–1.60) after adjustment for the potential confounding factors. Eating speed was significantly correlated with waist circumference and high-density lipoprotein cholesterol (HDL-C) components of metabolic risk factors. Hazard ratios in the fast-eating group compared with the reference group were 1.35 (95% CI, 1.10–1.66) for waist circumference and 1.37 (95% CI, 1.12–1.67) for HDL-C. Conclusions Eating speed was associated with the incidence of metabolic syndrome. Eating slowly is therefore suggested to be an important lifestyle factor for preventing metabolic syndrome among the Japanese.
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Affiliation(s)
- Bing Zhu
- Dept. of Health Education, Anhui Provincial Center for Disease Control and Prevention
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Self-reported eating speed in relation to non-alcoholic fatty liver disease in adults. Eur J Nutr 2015; 55:327-33. [PMID: 25648740 DOI: 10.1007/s00394-015-0851-z] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2014] [Accepted: 01/29/2015] [Indexed: 12/19/2022]
Abstract
PURPOSE Non-alcoholic fatty liver disease (NAFLD), known to be related to insulin resistance, has been the focus of intensive research efforts due to its increasing prevalence and clinical significance. Rapid eating behavior is another emerging health issue associated with insulin resistance. We aimed to clarify the correlation between self-reported eating speed and NAFLD, both known to be related to insulin resistance. METHODS A cross-sectional study was conducted during routine medical checkups on 7,917 consecutively enrolled participants. Anthropometric, biochemical, nutritional, and social parameters were checked. The self-reported eating speed per their usual meal (<5, 5-10, 10-15, and more than 15 min) was recorded by a registered dietitian. RESULTS The faster eating groups had a higher proportion of NAFLD, and the grade of NAFLD was advanced. After controlling for anthropometric, cardiometabolic, social, and nutritional parameters, the fastest eating group (<5 min) showed an increased risk of NAFLD compared with the lowest eating speed group (≥15 min) both in total [odds ratio (OR) 1.81, 95% confidence interval (CI) 1.24-2.63] and the participants with BMI < 25 kg/m(2) (OR 1.79, 95% CI 1.22-2.61). As the self-reported eating speed increased, the risk of NAFLD also increased in total and those with BMI < 25 kg/m(2) (P for trend <0.001). CONCLUSIONS Fast eating is associated with an increased risk of the presence and grade of NAFLD in Korean adults, especially those with BMI < 25 kg/m(2), since presence of overweight or obesity may be overwhelming the effect on NAFLD.
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Relationship between mouthful volume and number of chews in young Japanese females. Appetite 2014; 83:327-332. [DOI: 10.1016/j.appet.2014.08.009] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2014] [Revised: 08/07/2014] [Accepted: 08/08/2014] [Indexed: 11/19/2022]
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Guay SP, Brisson D, Lamarche B, Biron S, Lescelleur O, Biertho L, Marceau S, Vohl MC, Gaudet D, Bouchard L. ADRB3 gene promoter DNA methylation in blood and visceral adipose tissue is associated with metabolic disturbances in men. Epigenomics 2014; 6:33-43. [PMID: 24579945 DOI: 10.2217/epi.13.82] [Citation(s) in RCA: 30] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023] Open
Abstract
AIM ADRB3 DNA hypermethylation was recently associated with dyslipidemia in familial hypercholesterolemia (FH). In this study, we verified whether ADRB3 DNA methylation in blood and visceral adipose tissue (VAT) was associated with obesity and its related complications. METHODS DNA methylation levels were measured in the blood of 61 FH men, and the blood and VAT of 30 severely obese men. Common ADRB3 polymorphisms were genotyped in all subjects. RESULTS Higher ADRB3 DNA methylation levels were significantly associated with lower low-density lipoprotein cholesterol levels (r = -0.40; p = 0.01) in FH, and with a lower waist-to-hip ratio (r = -0.55; p = 0.01) and higher blood pressure (r = 0.43; p = 0.05) in severely obese men. ADRB3 g.-843C>T and p.W64R polymorphisms were found to be strongly associated (p < 0.001) with ADRB3 DNA methylation and mRNA levels. CONCLUSION Although further studies are needed, these results suggest that epigenetic changes at the ADRB3 gene locus might be involved in the development of obesity and its related metabolic complications.
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Affiliation(s)
- Simon-Pierre Guay
- Department of Biochemistry, Université de Sherbrooke, Sherbrooke, QC, Canada
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Yamane M, Ekuni D, Mizutani S, Kataoka K, Sakumoto-Kataoka M, Kawabata Y, Omori C, Azuma T, Tomofuji T, Iwasaki Y, Morita M. Relationships between eating quickly and weight gain in Japanese university students: a longitudinal study. Obesity (Silver Spring) 2014; 22:2262-2266. [PMID: 25044853 DOI: 10.1002/oby.20842] [Citation(s) in RCA: 43] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/24/2014] [Accepted: 06/27/2014] [Indexed: 01/16/2023]
Abstract
OBJECTIVE Many cross-sectional studies have reported a relationship between overweight/obesity and eating quickly, but there have been few longitudinal studies to address this relationship in younger populations. The purpose of this prospective longitudinal study was to investigate whether eating quickly was related to being overweight in Japanese university students. METHODS Of 1,396 students who underwent a general examination and completed questionnaires at the start of university and before graduation, 1,314 students (676 male and 638 female) of normal body composition [body mass index (BMI) < 25 kg m(-2) ] at baseline were included in the analysis. The questionnaires included speed of eating and other lifestyle factors. After a 3-year follow-up, the students whose BMIs were ≥ 25 kg m(-2) were defined as overweight. RESULTS In this study, 38 participants (2.9%) became overweight. In the logistic regression analysis, the risk of being overweight was increased in males [adjusted odds ratio (OR): 2.77; 95% confidence interval (CI): 1.33-5.79; P < 0.01] and in those who ate quickly at baseline (OR: 4.40; 95% CI: 2.22-8.75; P < 0.001). CONCLUSIONS Eating quickly may predict risk of being overweight in Japanese university students.
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Affiliation(s)
- Mayu Yamane
- Department of Preventive Dentistry, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, 2-5-1 Shikata-cho, Kita-ku, Okayama, Japan
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Nagahama S, Kurotani K, Pham NM, Nanri A, Kuwahara K, Dan M, Nishiwaki Y, Mizoue T. Self-reported eating rate and metabolic syndrome in Japanese people: cross-sectional study. BMJ Open 2014; 4:e005241. [PMID: 25192877 PMCID: PMC4158192 DOI: 10.1136/bmjopen-2014-005241] [Citation(s) in RCA: 52] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
OBJECTIVES To examine the association between self-reported eating rate and metabolic syndrome. DESIGN Cross-sectional study. SETTING Annual health checkup at a health check service centre in Japan. PARTICIPANTS A total of 56,865 participants (41,820 male and 15,045 female) who attended a health checkup in 2011 and reported no history of coronary heart disease or stroke. MAIN OUTCOME MEASURE Metabolic syndrome was defined by the joint of interim statement of the International Diabetes Federation and the American Heart Association/National Heart, Lung, and Blood Institute. RESULTS In multiple logistic regression models, eating rate was significantly and positively associated with metabolic syndrome. The multivariable-adjusted ORs (95% CI) for slow, normal and fast were 0.70 (0.62 to 0.79), 1.00 (reference) and 1.61 (1.53 to 1.70), respectively, in men (p for trend <0.001), and 0.74 (0.60 to 0.91), 1.00 (reference) and 1.27 (1.13 to 1.43), respectively, in women (p for trend <0.001). Of metabolic syndrome components, abdominal obesity showed the strongest association with eating rate. The associations of eating rate and metabolic syndrome and its components were largely attenuated after further adjustment for body mass index; however, the association of slow eating with lower odds of high blood pressure (men and women) and hyperglycaemia (men) and that of fast eating with higher odds of lipid abnormality (men) remained statistically significant. CONCLUSIONS Results suggest that eating rate is associated with the presence of metabolic syndrome and that this association is largely accounted for by the difference in body mass according to eating rate.
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Affiliation(s)
- Satsue Nagahama
- Department of Epidemiology and Prevention, Center for Clinical Sciences, National Center for Global Health and Medicine, Shinjuku-ku, Tokyo, Japan
- All Japan Labor Welfare Foundation, Tokyo, Japan
- Department of Environmental and Occupational Health, School of Medicine, Toho University, Tokyo, Japan
| | - Kayo Kurotani
- Department of Epidemiology and Prevention, Center for Clinical Sciences, National Center for Global Health and Medicine, Shinjuku-ku, Tokyo, Japan
| | - Ngoc Minh Pham
- Department of Epidemiology, Faculty of Public Health, Thai Nguyen University of Medicine and Pharmacy, Thai Nguyen Province, Vietnam
| | - Akiko Nanri
- Department of Epidemiology and Prevention, Center for Clinical Sciences, National Center for Global Health and Medicine, Shinjuku-ku, Tokyo, Japan
| | - Keisuke Kuwahara
- Department of Epidemiology and Prevention, Center for Clinical Sciences, National Center for Global Health and Medicine, Shinjuku-ku, Tokyo, Japan
| | - Masashi Dan
- All Japan Labor Welfare Foundation, Tokyo, Japan
| | - Yuji Nishiwaki
- Department of Environmental and Occupational Health, School of Medicine, Toho University, Tokyo, Japan
| | - Tetsuya Mizoue
- Department of Epidemiology and Prevention, Center for Clinical Sciences, National Center for Global Health and Medicine, Shinjuku-ku, Tokyo, Japan
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Udo T, McKee SA, White MA, Masheb RM, Barnes RD, Grilo CM. Menopause and metabolic syndrome in obese individuals with binge eating disorder. Eat Behav 2014; 15:182-5. [PMID: 24854801 PMCID: PMC4032475 DOI: 10.1016/j.eatbeh.2014.01.003] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/24/2013] [Revised: 11/26/2013] [Accepted: 01/22/2014] [Indexed: 10/25/2022]
Abstract
Menopausal transition has been associated with the emergence of metabolic abnormalities, which may increase risk for chronic medical conditions in women. This study compared metabolic function between premenopausal women (n = 152), postmenopausal women (n = 88), and men (n =9 8) recruited for treatment studies for obesity co-occurring with binge eating disorder (BED), a high-risk population for developing metabolic syndrome (MetS). Postmenopausal women were more likely than premenopausal women to show elevated total cholesterol (OR = 2.75; 95% CI = 1.56-4.80) and poor glycemic control (OR = 2.92; 95% CI = 1.32-6.33) but were more likely to have lower HDL levels (OR = 0.36; 95% CI = 0.19-0.68). These became non-significant after adjusting for age. Both pre- and postmenopausal women were less likely than age-matched men to show elevated levels of triglycerides (OR = 0.27; 95% CI = 0.13-0.53 [postmenopausal], OR = 0.29; 95% CI = 0.16-0.53 [premenopausal]), blood pressure (OR = 0.48; 95% CI = 0.25-0.91 [postmenopausal], OR=0.40; 95% CI = 0.23-0.69 [premenopausal]), and less likely to have MetS (OR = 0.41; 95% CI = 0.21-0.78 [postmenopausal], OR = 0.46; 95% CI = 0.27-0.79 [premenopausal]). Premenopausal women were also less likely to have elevated fasting glucose level (OR = 0.50; 95% CI = 0.26-0.97) than age-matched men. Among obese women with BED, aging may have a more profound impact on metabolic abnormalities than menopause, suggesting the importance of early intervention of obesity and symptoms of BED. The active monitoring of metabolic function in obese men with BED may also be critical.
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Affiliation(s)
- Tomoko Udo
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA.
| | - Sherry A. McKee
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Marney A. White
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Robin M. Masheb
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Rachel D. Barnes
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Carlos M. Grilo
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut, USA
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The factor structure of the metabolic syndrome in obese individuals with binge eating disorder. J Psychosom Res 2014; 76:152-7. [PMID: 24439692 PMCID: PMC3953028 DOI: 10.1016/j.jpsychores.2013.10.007] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/12/2013] [Revised: 10/08/2013] [Accepted: 10/09/2013] [Indexed: 12/23/2022]
Abstract
OBJECTIVE Metabolic syndrome (MetS) is strongly linked with cardiovascular disease and type-II diabetes, but there has been debate over which metabolic measures constitute MetS. Obese individuals with binge eating disorder (BED) are one of the high risk populations for developing MetS due to their excess weight and maladaptive eating patterns, yet, the clustering patterns of metabolic measures have not been examined in this patient group. METHODS 347 adults (71.8% women) were recruited for treatment studies for obese individuals with BED. We used the VARCLUS procedure in the Statistical Analysis System (SAS) to investigate the clustering pattern of metabolic risk measures. RESULTS The analysis yielded four factors: obesity (body-mass-index [BMI] and waist circumference), lipids (HDL and triglycerides), blood pressure (systolic and diastolic blood pressure), and glucose regulation (fasting serum glucose and Hb1Ac). The four factors accounted for 84% of the total variances, and variances explained by each factor were not substantially different. There was no inter-correlation between the four factors. Subgroup analyses by sex and by race (Caucasian vs. African American) yielded the same four-factor structure. CONCLUSION The factor structure of MetS in obese individuals with BED is not different from those found in normative population studies. This factor structure may be applicable to the diverse population.
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Wadhera D, Capaldi-Phillips ED. A review of visual cues associated with food on food acceptance and consumption. Eat Behav 2014; 15:132-43. [PMID: 24411766 DOI: 10.1016/j.eatbeh.2013.11.003] [Citation(s) in RCA: 116] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/21/2013] [Revised: 10/15/2013] [Accepted: 11/20/2013] [Indexed: 11/28/2022]
Abstract
Several sensory cues affect food intake including appearance, taste, odor, texture, temperature, and flavor. Although taste is an important factor regulating food intake, in most cases, the first sensory contact with food is through the eyes. Few studies have examined the effects of the appearance of a food portion on food acceptance and consumption. The purpose of this review is to identify the various visual factors associated with food such as proximity, visibility, color, variety, portion size, height, shape, number, volume, and the surface area and their effects on food acceptance and consumption. We suggest some ways that visual cues can be used to increase fruit and vegetable intake in children and decrease excessive food intake in adults. In addition, we discuss the need for future studies that can further establish the relationship between several unexplored visual dimensions of food (specifically shape, number, size, and surface area) and food intake.
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Metabolic syndrome in obese men and women with binge eating disorder: developmental trajectories of eating and weight-related behaviors. Compr Psychiatry 2012; 53:1021-7. [PMID: 22483368 PMCID: PMC3394907 DOI: 10.1016/j.comppsych.2012.02.006] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/16/2011] [Revised: 02/01/2012] [Accepted: 02/13/2012] [Indexed: 11/22/2022] Open
Abstract
Metabolic syndrome (MetSyn), characterized by vascular symptoms, is strongly correlated with obesity, weight-related medical diseases, and mortality and has increased commensurately with secular increases in obesity in the United States. Little is known about the distribution of MetSyn in obese patients with binge eating disorder (BED) or its associations with different developmental trajectories of dieting, binge eating, and obesity problems. Furthermore, inconsistencies in the limited data necessitate elucidation. This study examined the frequency and correlates of MetSyn in a consecutive series of 148 treatment-seeking obese men and women with BED assessed with structured clinical interviews. Almost half of the participants met the criteria for MetSyn. Participants with MetSyn did not differ from those without MetSyn on demographic variables or disordered eating psychopathology. However, our findings suggest that MetSyn is associated with a distinct developmental trajectory, specifically a later age at BED onset and shorter BED duration. Although the findings from this study shed some light on MetSyn and its associations with developmental trajectories of eating and weight-related behaviors, notable inconsistencies characterize the limited literature. Prospective studies are needed to examine causal connections in the development of the MetSyn in relation to disordered eating in addition to excess weight.
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Totsuka K, Maeno T, Saito K, Kodama S, Asumi M, Yachi Y, Hiranuma Y, Shimano H, Yamada N, Ono Y, Naito T, Sone H. Self-reported fast eating is a potent predictor of development of impaired glucose tolerance in Japanese men and women: Tsukuba Medical Center Study. Diabetes Res Clin Pract 2011; 94:e72-4. [PMID: 21908066 DOI: 10.1016/j.diabres.2011.08.015] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/16/2011] [Revised: 07/26/2011] [Accepted: 08/15/2011] [Indexed: 11/29/2022]
Abstract
We recorded self-reported eating patterns in 172 Japanese men and women who were subsequently followed for 3 years for the occurrence of impaired glucose tolerance (IGT). Incidence of IGT was significantly higher in those who reported eating fast. Self-reported eating fast is a potent risk factor for development of IGT.
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Affiliation(s)
- Kumiko Totsuka
- Department of Internal Medicine, University of Tsukuba Institute of Clinical Medicine, Tsukuba, Japan
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Abstract
BACKGROUND Little is known about eating behaviour and meal pattern subsequent to Roux-en-Y gastric bypass (RYGB), knowledge important for the nutritional care process. The objective of the study was to obtain basic information of how meal size, eating rate, meal frequency and eating behaviour change upon the RYGB surgery. MATERIALS AND METHODS Voluntary chosen meal size and eating rate were measured in a longitudinal, within subject, cohort study of 43 patients, 31 women and 12 men, age 42.6 (s.d. 9.7) years, body mass index (BMI) 44.5 (4.9) kg m(-2). Thirty-one non-obese subjects, 37.8 (13.6) years, BMI 23.7 (2.7) kg m(-2) served as a reference group. All subjects completed a meal pattern questionnaire and the Three-Factor Eating Questionnaire (TFEQ-R21). RESULTS Six weeks postoperatively meal size was 42% of the preoperative meal size, (P<0.001). After 1 and 2 years, meal size increased but was still lower than preoperative size 57% (P<0.001) and 66% (P<0.001), respectively. Mean meal duration was constant before and after surgery. Mean eating rate measured as amount consumed food per minute was 45% of preoperative eating rate 6 weeks postoperatively (P<0.001). After 1 and 2 years, eating rate increased to 65% (P<0.001) and 72% (P<0.001), respectively, of preoperative rate. Number of meals per day increased from 4.9 (95% confidence interval, 4.4,5.4) preoperatively to 6 weeks: 5.2 (4.9,5.6), (not significant), 1 year 5.8 (5.5,6.1), (P=0.003), and 2 years 5.4 (5.1,5.7), (not significant). Emotional and uncontrolled eating were significantly decreased postoperatively, (both P<0.001 at all-time points), while cognitive restraint was only transiently increased 6 weeks postoperatively (P=0.011). CONCLUSIONS Subsequent to RYGB, patients display markedly changed eating behaviour and meal patterns, which may lead to sustained weight loss.
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Barnes RD, Boeka AG, McKenzie KC, Genao I, Garcia RL, Ellman MS, Ellis PJ, Masheb RM, Grilo CM. Metabolic syndrome in obese patients with binge-eating disorder in primary care clinics: a cross-sectional study. Prim Care Companion CNS Disord 2011; 13:10m01050. [PMID: 21977358 DOI: 10.4088/pcc.10m01050] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2010] [Accepted: 09/01/2010] [Indexed: 10/18/2022] Open
Abstract
BACKGROUND The distribution and nature of metabolic syndrome in obese patients with binge-eating disorder (BED) are largely unknown and require investigation, particularly in general internal medicine settings. The objectives of this study were to (1) examine the frequency of metabolic syndrome and (2) explore its eating- and weight-related correlates in obese patients with BED. METHOD This was a cross-sectional analysis of 81 consecutive treatment-seeking obese (body mass index ≥ 30 kg/m(2)) patients (21 men, 60 women) who met DSM-IV-TR research criteria for BED (either subthreshold criteria: ≥ 1 binge weekly, n = 19 or full criteria: ≥ 2 binges weekly, n = 62). Participants were from 2 primary care facilities in a large university-based medical center in an urban setting. Patients with and without metabolic syndrome were compared on demographic features and current and historical eating- and weight-related variables. Data were collected from December 2007 through March 2009. RESULTS Forty-three percent of patients met criteria for metabolic syndrome. A significantly higher proportion of men (66%) than women (35%) met criteria for metabolic syndrome (P = .012). Patients with versus without metabolic syndrome did not differ significantly in ethnicity or body mass index. Patients with versus without metabolic syndrome did not differ significantly in binge-eating frequency, severity of eating disorder psychopathology, or depression. Analyses of covariance controlling for gender revealed that patients without metabolic syndrome started dieting at a significantly younger age (P = .037), spent more of their adult lives dieting (P = .017), and reported more current dietary restriction (P = .018) than patients with metabolic syndrome. CONCLUSIONS Metabolic syndrome is common in obese patients with BED in primary care settings and is associated with fewer dieting behaviors. These findings suggest that certain lifestyle behaviors, such as increased dietary restriction, may be potential targets for intervention with metabolic syndrome.
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Affiliation(s)
- Rachel D Barnes
- Department of Psychiatry (Drs Barnes, Boeka, Masheb, and Grilo), Section of General Internal Medicine, Department of Internal Medicine (Drs McKenzie, Genao, Garcia, Ellman, and Ellis), Yale University School of Medicine; and Department of Psychology, Yale University (Dr Grilo), New Haven, Connecticut
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Altunay I, Demirci GT, Ates B, Kucukunal A, Aydın C, Karamustafalıoglu O, Altuntas Y. Do eating disorders accompany metabolic syndrome in psoriasis patients? Results of a preliminary study. Clin Cosmet Investig Dermatol 2011; 4:139-43. [PMID: 21931499 PMCID: PMC3173015 DOI: 10.2147/ccid.s24165] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
BACKGROUND Metabolic syndrome (MBS) has been reported as a frequent comorbidity in psoriatic patients. The main pathogenesis is considered to be inflammation in this association. MBS has been investigated in eating disorders as well. While psoriasis has some psychiatric comorbidities, the link between psoriasis, MBS, and eating disorders (EDs) is unknown. METHODS The study was designed as a cross-sectional, randomized, and controlled trial. A total of 100 patients with psoriasis were included in the study. Sociodemographic data, clinical subtype of psoriasis, Psoriasis Area and Severity Index (PASI) scores, and associated diseases were registered for each patient. The criteria for diagnosis of MBS developed by the International Diabetes Foundation (IDF) was used. These are central obesity (waist circumference ≥94 cm in men or ≥80 cm in women), plus two of the following: elevated triglycerides (≥150 mg/dL), reduced high-desity lipoprotein cholesterol (>40 mg/dL for men; >50 mg/dL for women), elevated blood pressure (≥130 mmHg systolic or ≥85 mmHg diastolic), and elevated fasting blood glucose (≥100 mg/dL). Additionally, the Eating Attitude Test (EAT), Beck Depression Inventory (BDI), and Beck Anxiety Inventory (BAI), and psychiatric interview were performed for all patients. RESULTS There were 45 female and 55 male patients, aged between 18 and 85 years old (median 41.12 ± 16.01). MBS was present in 31% of the patients with psoriasis. There was no correlation between the severity of psoriasis and MBS. EAT scores were ≥30 in 7/100 patients. Four out of 31 patients with MBS (12.9%) had ED and 3/69 patients were without MBS (4.3%). Mean ED scores were compared statistically and the difference was significant (EAT = 17.9 ± 9.558 and 11.5 ± 7.204, P < 0.001). CONCLUSION Defining risk factors leading to comorbidities is important in psoriasis. EDs seem to have an impact on the development of MBS in psoriasis. Establishment and treatment of EDs in patients with psoriasis may prevent the onset of MBS and other comorbidities due to MBS.
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Affiliation(s)
- Ilknur Altunay
- Dermatology Department, Sisli Etfal Training and Research Hospital, Istanbul, Turkey
| | | | - Bilge Ates
- Dermatology Department, Sisli Etfal Training and Research Hospital, Istanbul, Turkey
| | - Aslı Kucukunal
- Dermatology Department, Sisli Etfal Training and Research Hospital, Istanbul, Turkey
| | - Cigdem Aydın
- Psychology Department, Istanbul University, Istanbul, Turkey
| | | | - Yuksel Altuntas
- Internal Medicine Endocrinology Department, Sisli Etfal Training and Research Hospital, Istanbul, Turkey
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Webb JB, Applegate KL, Grant JP. A comparative analysis of Type 2 diabetes and binge eating disorder in a bariatric sample. Eat Behav 2011; 12:175-81. [PMID: 21741014 DOI: 10.1016/j.eatbeh.2011.04.007] [Citation(s) in RCA: 26] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/25/2010] [Revised: 03/10/2011] [Accepted: 04/14/2011] [Indexed: 01/23/2023]
Abstract
An emerging literature has illuminated an important link between Type 2 diabetes mellitus (DM) and binge eating disorder (BED) within obese cohorts. However, prior work has not examined this relationship specifically in a weight loss surgery (WLS) sample or fully explored potential psychosocial factors associated with this co-occurrence. Therefore, the present investigation sought to identify socio-demographic (i.e. age, education, BMI, ethnicity, gender, age of obesity onset) and psychological (i.e. depressive symptoms, hedonic hunger/food locus of control beliefs, severity of binge eating-related cognitions) correlates of the co-occurrence of Type 2 DM and BED among bariatric surgery candidates. An archival sample of 488 patients seeking surgical treatment for clinical obesity completed a standard battery of pre-operative psychosocial measures. The presence of BED was evaluated using a semi-structured clinical interview based on the DSM-IV TR (APA, 2000) and was further corroborated by responses on the Questionnaire on Eating and Weight Patterns-Revised (QEWP-R; Spitzer, Yanovski, & Marcus, 1993). Results indicated that 8.2% of the sample was classified as having both Type 2 DM and BED concurrently. A multivariate logistic regression model revealed that in addition to other psychological (e.g., binge eating-related cognitions, hedonic hunger) and demographic variables (i.e. male gender), African American ethnicity (OR=3.3: 1.41-7.73) was a particularly robust indicator of comorbid status. Findings support and extend previous health disparity research urging greater attention to the needs of traditionally underserved, at-risk populations seeking treatment for obesity complicated by dysregulated eating and metabolism. Additionally, these preliminary results underscore the relevance of considering the potential benefits of providing quality comprehensive pre- and post-operative psychological care among bariatric patients towards optimizing both short- and long-term health and well-being.
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Affiliation(s)
- Jennifer B Webb
- UNC Charlotte Department of Psychology, 9201 University City Blvd., Charlotte, NC 28223, USA.
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Viskaal-van Dongen M, Kok FJ, de Graaf C. Eating rate of commonly consumed foods promotes food and energy intake. Appetite 2010; 56:25-31. [PMID: 21094194 DOI: 10.1016/j.appet.2010.11.141] [Citation(s) in RCA: 127] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2010] [Revised: 10/25/2010] [Accepted: 11/13/2010] [Indexed: 11/15/2022]
Abstract
We investigated the eating rate of commonly consumed foods and the associations with food intake and macronutrient composition. Ingestion time (s) of 50 g of 45 foods was measured to assess eating rate (g/min), after which ad libitum food intake (g) was measured. Thirteen men and 24 women (aged 23.3 (SD 3.4)y, BMI 21.7 (SD 1.7)kg/m(2)) participated, each testing 7 foods in separate sessions. We observed large differences in eating rate between foods, ranging from 4.2 (SD 3.7) to 631 (SD 507)g/min. Eating rate was positively associated with food intake (β=0.55) and energy intake (β=0.001). Eating rate was inversely associated with energy density (β=-0.00047) and positively with water content (β=0.011). Carbohydrate (β=-0.012), protein (β=-0.021) and fiber content (β=-0.087) were inversely associated with eating rate, whereas fat was not. This study showed that when foods can be ingested rapidly, food and energy intake is high. People may therefore be at risk of overconsumption, when consuming foods with a high eating rate. Considering the current food supply, where many foods have a high eating rate, long-term effects of eating rate on energy balance should be investigated.
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Affiliation(s)
- Mirre Viskaal-van Dongen
- Division of Human Nutrition, Wageningen University, PO Box 8129, 6700 EV Wageningen, The Netherlands.
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Val-Laillet D, Guérin S, Malbert C. Slower eating rate is independent to gastric emptying in obese minipigs. Physiol Behav 2010; 101:462-8. [DOI: 10.1016/j.physbeh.2010.07.014] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2009] [Revised: 05/26/2010] [Accepted: 07/26/2010] [Indexed: 12/21/2022]
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Gout B, Bourges C, Paineau-Dubreuil S. Satiereal, a Crocus sativus L extract, reduces snacking and increases satiety in a randomized placebo-controlled study of mildly overweight, healthy women. Nutr Res 2010; 30:305-13. [DOI: 10.1016/j.nutres.2010.04.008] [Citation(s) in RCA: 56] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2010] [Revised: 04/14/2010] [Accepted: 04/21/2010] [Indexed: 10/19/2022]
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Abstract
There is speculation amongst health professionals, the media, and the public regarding eating frequency (EF) and its impact on weight and health. Nutritional weight-loss and -maintenance interventions of longer than 1 week's duration were reviewed for associations between EF and weight and health. Of the 176 studies identified, 25 relevant studies matched the criteria and only 10 of these were weight-loss interventions. Generally, sample sizes were small, interventions were short-term, and a wide array of definitions was used to define an eating occasion. Several key outcomes such as physical activity, adherence to assigned EF, and hunger were often not measured. The limited evidence available suggests there is no association between EF and weight or health in either weight-loss or -maintenance interventions, with a possible inverse association between EF and lipids in weight-maintenance interventions. Longer term, larger studies that include important weight and health outcomes are needed.
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Affiliation(s)
- Michelle A Palmer
- School of Public Health, Griffith University, Gold Coast, Queensland, Australia and the School of Health Sciences, Newcastle University, Callaghan, New South Wales, Australia
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Roehrig M, Masheb RM, White MA, Grilo CM. The metabolic syndrome and behavioral correlates in obese patients with binge eating disorder. Obesity (Silver Spring) 2009; 17:481-6. [PMID: 19219063 PMCID: PMC2704920 DOI: 10.1038/oby.2008.560] [Citation(s) in RCA: 37] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
This study examined the frequency of the metabolic syndrome (MetSyn) and explored behavioral eating- and weight-related correlates in obese patients with binge eating disorder (BED). Ninety-three treatment-seeking obese BED patients (22 men and 71 women) with and without the MetSyn were compared on demographic features and a number of current and historical eating and weight variables. Sixty percent of the obese patients with BED met criteria for the MetSyn, with men and whites having significantly higher rates than women and African Americans, respectively. Patients with vs. without coexisting MetSyn did not differ significantly in self-reported frequency of binge eating or severity of eating disorder psychopathology. Multivariate hierarchical logistic regression analysis revealed that, after controlling for gender, ethnicity, and BMI, fewer episodes of weight cycling and regular meal skipping were significant predictors of the MetSyn. These findings suggest that lifestyle behaviors including weight loss attempts and regular meal consumption may be potential targets for prevention and/or treatment of the MetSyn in obese patients with BED.
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Affiliation(s)
- Megan Roehrig
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut, USA.
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Otsuka R, Tamakoshi K, Yatsuya H, Wada K, Matsushita K, OuYang P, Hotta Y, Takefuji S, Mitsuhashi H, Sugiura K, Sasaki S, Kral JG, Toyoshima H. Eating fast leads to insulin resistance: findings in middle-aged Japanese men and women. Prev Med 2008; 46:154-9. [PMID: 17822753 DOI: 10.1016/j.ypmed.2007.07.031] [Citation(s) in RCA: 81] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/24/2006] [Revised: 07/25/2007] [Accepted: 07/26/2007] [Indexed: 10/23/2022]
Abstract
OBJECTIVE To examine relationships between speed of eating and insulin resistance. METHODS Cross-sectional study of 2704 male (mean age and BMI: 48.2 y and 23.3 kg/m(2)) and 761 female (46.3 y and 21.8 kg/m(2)) non-diabetic Japanese civil servants, 75% clerical, and 25% manual laborers, using a two-part questionnaire on life-style factors and diet history with self-assessment of categorical speed of eating and energy intake over a 1-month period. We measured BMI, blood glucose and insulin concentrations and calculated insulin resistance using the homeostasis model assessment of insulin resistance: (HOMA-IR). RESULTS BMI correlated with eating rate in both sexes, and with daily energy intake in men. Multiple regression analysis of log HOMA-IR by categorical speed of eating, adjusting for age, energy intake and lifestyle factors showed a statistically significant gradual increase in HOMA-IR with increases in relative eating rate in men (p<0.001, for trend) and in women (p<0.01). Adjusting for BMI, this positive relationship appeared only in men (p=0.03). CONCLUSIONS Our results suggest that eating fast is independently associated with insulin resistance in middle-aged Japanese men and women.
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Affiliation(s)
- Rei Otsuka
- Department of Public Health/Health Information Dynamics, Field of Social Life Science, Nagoya University Graduate School of Medicine, Aichi, Japan
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Shahraki M, Mahboob S, Rashidi MR, Majidi M, Mesgari M, Shahraki ZT. Effect of nibbling and gorging dietary regimens on weight and lipid profile in rat. Pak J Biol Sci 2007; 10:4444-4448. [PMID: 19093509 DOI: 10.3923/pjbs.2007.4444.4448] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/27/2023]
Abstract
To investigate the effects of nibbling and gorging dietary regimens on weight and lipid profiles in rat, thirty female Wistar rats, after 10 day acclimatization period, were weighed and randomly assigned into two equal groups. They were fed the same food for 60 days as eight meals at 2 h intervals starting from 6 pm (nibbling group) or as two meals at 9 pm and 6 am (gorging group). The serum lipid levels and weight of animals were determined before and after the intervention. The body weight in two groups increased significantly (p < 0.001) during the period of study but there was no significant (p > 0.05) difference between two groups before and after the intervention. Nibbling regimen caused a reduction in the serum Total Cholesterol (TC), triglyceride and LDL-C levels, whereas these parameters increased during gorging diet. However, none of these changes were significant. There was a significant decrease (p < 0.05) in TC and LDL-C levels in nibbling diet compared to gorging one. According to obtained results, nibbling regimen has better effect on lipid profile than gorging one in rat.
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Affiliation(s)
- M Shahraki
- Department of Nutrition, Faculty of Medical, Zahedan University of Medical Sciences and Health Services, Zahedan, Iran
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Ebbeling CB, Garcia-Lago E, Leidig MM, Seger-Shippee LG, Feldman HA, Ludwig DS. Altering portion sizes and eating rate to attenuate gorging during a fast food meal: effects on energy intake. Pediatrics 2007; 119:869-75. [PMID: 17473086 DOI: 10.1542/peds.2006-2923] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
OBJECTIVE Eating large amounts of food at a rapid rate, defined as gorging, may contribute to excess energy intake. We aimed to evaluate whether altering portion sizes and eating rate could decrease energy intake during an extra-large fast food meal. METHODS Subjects were adolescents (n = 18), 13 to 17 years of age, who reported eating fast food > or =1 time per week. BMI exceeded the 80th percentile for all subjects. Three feeding conditions were evaluated with a crossover design. Total amounts and types of foods and beverage served during the meal were held constant across conditions, equaling approximately 125% of that consumed during a baseline assessment visit when subjects were offered unlimited amounts. The meal (chicken nuggets, French fries, and cola) was presented as 1 large serving at a single time point (condition A, standard), portioned into 4 smaller servings presented at a single time point (condition B, effects of portioning), or portioned into 4 smaller servings presented at 15-minute intervals (condition C, effects of portioning and eating rate). Energy intake across conditions was compared by using analysis of variance. RESULTS Energy intake was not significantly different, whether expressed in kilojoules (mean +/- SEM: condition A, 5552 +/- 357 kJ; condition B, 5321 +/- 433 kJ; condition C, 5762 +/- 500 kJ) or relative to total daily energy expenditure (mean +/- SEM: condition A, 51.9 +/- 3.5%; condition B, 48.2 +/- 4.0%; condition C, 53.0 +/- 4.3%). CONCLUSIONS Adolescents consumed approximately 50% of energy needs regardless of manipulations in portion sizes and eating rate to attenuate gorging. This finding suggests that nutritional factors inherent to fast food, such as low levels of dietary fiber, high palatability, high energy density, high fat content, high glycemic load, and high content of sugar in liquid form promote excess energy intake.
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Affiliation(s)
- Cara B Ebbeling
- Division of Endocrinology, Department of Medicine, Children's Hospital Boston, Boston, Massachusetts 02115, USA.
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Laessle RG, Lehrke S, Dückers S. Laboratory eating behavior in obesity. Appetite 2007; 49:399-404. [PMID: 17391805 DOI: 10.1016/j.appet.2006.11.010] [Citation(s) in RCA: 45] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2005] [Revised: 11/05/2006] [Accepted: 11/08/2006] [Indexed: 11/16/2022]
Abstract
The eating behavior of 49 obese and 47 normal weight controls of both sexes was compared in laboratory. A universal eating monitor according to the Kissileff-instrument was used to obtain cumulative intake curves with chocolate pudding as laboratory food. Compared to controls the obese had a significantly higher initial eating rate (p<.002), larger spoonfuls (p<.005), and a greater total intake (p<.03) for the laboratory food. For initial eating rate a significant sex x weight interaction was found (p<.04). Higher values for males emerged only for overweight, but not for normal weight subjects. On the one hand, these data suggest an eating behavior of obese, which will promote a high energy intake in the natural environment. On the other hand, the observed differences can also be interpreted as a consequence of cognitive factors, impacting the eating behavior of obese under specific conditions.
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Otsuka R, Tamakoshi K, Yatsuya H, Murata C, Sekiya A, Wada K, Zhang HM, Matsushita K, Sugiura K, Takefuji S, OuYang P, Nagasawa N, Kondo T, Sasaki S, Toyoshima H. Eating fast leads to obesity: findings based on self-administered questionnaires among middle-aged Japanese men and women. J Epidemiol 2006; 16:117-24. [PMID: 16710080 PMCID: PMC7603906 DOI: 10.2188/jea.16.117] [Citation(s) in RCA: 177] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023] Open
Abstract
BACKGROUND Few epidemiologic studies have examined the association between the rate of eating and obesity. In this study, we cross-sectionally examined the association of the self-reported rate of eating with current Body Mass Index (BMI), and BMI-change from 20 years of age to the current age. METHODS Subjects were 3737 male (mean age +/- standard deviation and mean BMI +/- standard deviation: 48.2 +/- 7.1 years and 23.3 +/- 2.7 kg/m(2)) and 1005 female (46.3 +/- 7.0 years and 21.8 +/- 2.8 kg/m(2)) Japanese civil servants. We measured self-reported categorical rate of eating, current BMI, BMI at age 20, and BMI-change from age 20. Energy intake was assessed over a 1-month period with a brief-type diet history questionnaire. RESULTS The multiple regression analysis in which the current BMI was regressed by categorical rate of eating, energy intake, age, and lifestyle factors showed that current BMI steadily increased by -0.99, -0.67, 0.81, and 1.47 kg/m(2) along with the progress of categorical rate of eating from the 'medium' group to 'very slow', 'relatively slow', 'relatively fast', and 'very fast' groups, respectively, in men. In women, the corresponding values were -1.06, -0.35, 0.50, and 1.34 kg/m(2). When the BMI increment from age 20 to current age was regressed in the same manner, the increment was -0.63, -0.34, 0.57, and 1.05 kg/m(2) in men and -0.71, -0.32, 0.34, and 1.14 kg/m(2) in women, respectively. Additionally, both BMI at age 20 and current height were positively associated with rate of eating. CONCLUSIONS Our results among middle-aged men and women suggest that eating fast would lead to obesity.
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Affiliation(s)
- Rei Otsuka
- Department of Public Health/Health Information Dynamics, Field of Social Life Science, Nagoya University Graduate School of Medicine, Japan
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Abstract
Relatively recently, the liver has been recognized as a major target of injury in patients with insulin resistance or the metabolic syndrome. Insulin resistance is associated with fat accumulation in the liver, a condition called nonalcoholic fatty liver disease (NAFLD). Excess fat in the liver is not a benign condition. Some patients with NAFLD develop necroinflammatory changes in the liver called nonalcoholic steatohepatitis (NASH) and a fraction of those will develop cirrhosis. About 20% all adults have NAFLD and 2% to 3% of adults have NASH. Approximately 20% of patients with NASH are at risk for developing cirrhosis and subsequently dying from end-stage liver disease. The diagnosis of NASH requires a high index of suspicion, especially in obese patients over the age of 45 years who have diabetes, because these are the patients at greatest risk for developing cirrhosis. Treatment focuses on addressing the underlying insulin resistance with increased exercise and weight reduction.
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Affiliation(s)
- Brent A Neuschwander-Tetri
- Department of Internal Medicine, Division of Gastroenterology and Hepatology, Saint Louis University Liver Center, St. Louis, Missouri 63110, USA.
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Kral JG. The pathogenesis of obesity: Stress and the brain-gut axis. Surg Obes Relat Dis 2005; 1:25-34. [PMID: 16925198 DOI: 10.1016/j.soard.2004.12.009] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2004] [Revised: 12/17/2004] [Accepted: 12/17/2004] [Indexed: 02/02/2023]
Affiliation(s)
- John G Kral
- Department of Surgery, SUNY Downstate Medical Center, Brooklyn, New York 11203, USA.
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