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Garcidueñas-Fimbres TE, Gómez-Martínez C, Pascual-Compte M, Jurado-Castro JM, Leis R, Moreno LA, Navas-Carretero S, Codoñer-Franch P, Echeverria AM, Pastor-Villaescusa B, López-Rubio A, García SM, De Miguel-Etayo P, Martínez JA, Aguayo IV, Vázquez-Cobela R, Escribano J, Miguel-Berges ML, De La Torre-Aguilar MJ, Gil-Campos M, Salas-Salvadó J, Babio N. Adherence to a healthy lifestyle behavior composite score and cardiometabolic risk factors in Spanish children from the CORALS cohort. Eur J Pediatr 2024; 183:1819-1830. [PMID: 38260993 PMCID: PMC11001667 DOI: 10.1007/s00431-023-05389-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/21/2023] [Revised: 12/01/2023] [Accepted: 12/14/2023] [Indexed: 01/24/2024]
Abstract
To assess the associations between the adherence to a composite score comprised of 6 healthy lifestyle behaviors and its individual components with several cardiometabolic risk factors in Spanish preschool children. Cross-sectional analyses were conducted in 938 participants included in the CORALS cohort aged 3-6 years. Six recognized healthy lifestyle behaviors (breastfeeding, sleep duration, physical activity, screentime, adherence to the Mediterranean diet, and eating speed) were assessed in a composite score. Multiple linear and logistic regression models were fitted to assess the associations with cardiometabolic risk factors (weight status, waist circumference, fat mass index, blood pressure, fasting plasma glucose, and lipid profile). In the adjusted multiple linear and logistic regression models, compared with the reference category of adherence to the healthy lifestyle behavior composite score, those participants in the category of the highest adherence showed significant decreased prevalence risk of overweight or obesity [OR (95% CI), 0.4 (0.2, 0.6)] as well as significant lower waist circumference, fat mass index (FMI), systolic blood pressure and fasting plasma glucose concentration [β (95% CI), - 1.4 cm (- 2.5, - 0.4); - 0.3 kg/m2 (- 0.5, - 0.1); and - 3.0 mmHg (- 5.2, - 0.9); - 1.9 mg/dL (- 3.5, - 0.4), respectively]. Slow eating speed was individually associated with most of the cardiometabolic risk factors. Conclusions: Higher adherence to the healthy lifestyle behavior composite score was associated with lower waist circumference, FMI, other cardiometabolic risk factors, and risk of overweight or obesity in Spanish preschool children. Further studies are required to confirm these associations. What is Known: • Lifestyle is a well-recognized etiologic factor of obesity and its comorbidities. • Certain healthy behaviors such as adhering to a healthy diet, increasing physical activity, and decreasing screentime are strategies for prevention and treatment of childhood obesity. What is New: • Higher adherence to the healthy lifestyle behavior composite score to 6 healthy behaviors (breastfeeding, sleep duration, physical activity, screentime, eating speed, and adherence to the Mediterranean diet) was associated with decreased adiposity, including prevalence risk of overweight or obesity, and cardiometabolic risk in preschool children. • Slow eating and greater adherence to the Mediterranean diet were mainly associated to lower fasting plasma and serum triglycerides concentration, respectively.
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Affiliation(s)
- Tany E Garcidueñas-Fimbres
- Departament de Bioquímica i Biotecnologia. Unitat de Nutrició Humana, Universitat Rovira i Virgili, Reus, Spain
- Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Carlos Gómez-Martínez
- Departament de Bioquímica i Biotecnologia. Unitat de Nutrició Humana, Universitat Rovira i Virgili, Reus, Spain
- Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Maria Pascual-Compte
- Departament de Bioquímica i Biotecnologia. Unitat de Nutrició Humana, Universitat Rovira i Virgili, Reus, Spain
- Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
| | - Jose Manuel Jurado-Castro
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Metabolism and Investigation Unit, Reina Sofia University Hospital, Maimónides Institute of Biomedicine Research of Córdoba (IMIBIC), University of Córdoba, 14004, Córdoba, Spain
| | - Rosaura Leis
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Unit of Pediatric Gastroenterology, Hepatology and Nutrition, Pediatric Service, Hospital Clínico Universitario de Santiago, 15706, Santiago de Compostela, Spain
- Pediatric Nutrition Research Group, Unit of Investigation in Nutrition, Growth and Human Development of Galicia-USC, Health Research Institute of Santiago de Compostela (IDIS), 15706, Santiago de Compostela, Spain
| | - Luis A Moreno
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Growth, Exercise, Nutrition and Development (GENUD) Research Group, University of Zaragoza, Zaragoza, Spain
- Instituto de Investigación Sanitaria de Aragón (IIS Aragón), Instituto Agroalimentario de Aragón (IA2), Zaragoza, Spain
| | - Santiago Navas-Carretero
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Center for Nutrition Research, University of Navarra, 31008, Pamplona, Spain
- Fac Pharm & Nutr, Dept Nutr Food Sci & Physiol, University of Navarra, 31008, Pamplona, Spain
- IdisNA, Navarra Institute for Health Research, Pamplona, Spain
| | - Pilar Codoñer-Franch
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Pediatrics, Obstetrics and Gynecology, Dr. Peset University Hospital, University of Valencia, Valencia, Spain
| | | | - Belén Pastor-Villaescusa
- Metabolism and Investigation Unit, Reina Sofia University Hospital, Maimónides Institute of Biomedicine Research of Córdoba (IMIBIC), University of Córdoba, 14004, Córdoba, Spain
| | - Alicia López-Rubio
- Unit of Pediatric Gastroenterology, Hepatology and Nutrition, Pediatric Service, Hospital Clínico Universitario de Santiago, 15706, Santiago de Compostela, Spain
- Pediatric Nutrition Research Group, Unit of Investigation in Nutrition, Growth and Human Development of Galicia-USC, Health Research Institute of Santiago de Compostela (IDIS), 15706, Santiago de Compostela, Spain
| | | | - Pilar De Miguel-Etayo
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Growth, Exercise, Nutrition and Development (GENUD) Research Group, University of Zaragoza, Zaragoza, Spain
- Instituto de Investigación Sanitaria de Aragón (IIS Aragón), Instituto Agroalimentario de Aragón (IA2), Zaragoza, Spain
| | - J Alfredo Martínez
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Center for Nutrition Research, University of Navarra, 31008, Pamplona, Spain
| | - Inmaculada Velasco Aguayo
- Metabolism and Investigation Unit, Reina Sofia University Hospital, Maimónides Institute of Biomedicine Research of Córdoba (IMIBIC), University of Córdoba, 14004, Córdoba, Spain
| | - Rocío Vázquez-Cobela
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Unit of Pediatric Gastroenterology, Hepatology and Nutrition, Pediatric Service, Hospital Clínico Universitario de Santiago, 15706, Santiago de Compostela, Spain
- Pediatric Nutrition Research Group, Unit of Investigation in Nutrition, Growth and Human Development of Galicia-USC, Health Research Institute of Santiago de Compostela (IDIS), 15706, Santiago de Compostela, Spain
| | - Joaquín Escribano
- Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
- Paediatrics, Nutrition, and, Development Research Unit, Hospital Universitari Sant Joan de Reus, Universitat Rovira i Virgili, Reus, Spain
| | - María Luisa Miguel-Berges
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Growth, Exercise, Nutrition and Development (GENUD) Research Group, University of Zaragoza, Zaragoza, Spain
- Instituto de Investigación Sanitaria de Aragón (IIS Aragón), Instituto Agroalimentario de Aragón (IA2), Zaragoza, Spain
| | - María José De La Torre-Aguilar
- Metabolism and Investigation Unit, Reina Sofia University Hospital, Maimónides Institute of Biomedicine Research of Córdoba (IMIBIC), University of Córdoba, 14004, Córdoba, Spain
| | - Mercedes Gil-Campos
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Metabolism and Investigation Unit, Reina Sofia University Hospital, Maimónides Institute of Biomedicine Research of Córdoba (IMIBIC), University of Córdoba, 14004, Córdoba, Spain
| | - Jordi Salas-Salvadó
- Departament de Bioquímica i Biotecnologia. Unitat de Nutrició Humana, Universitat Rovira i Virgili, Reus, Spain.
- Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain.
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain.
| | - Nancy Babio
- Departament de Bioquímica i Biotecnologia. Unitat de Nutrició Humana, Universitat Rovira i Virgili, Reus, Spain.
- Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain.
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain.
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2
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Chen Y, Fogel A, Bi Y, Yen CC. Factors associated with eating rate: a systematic review and narrative synthesis informed by socio-ecological model. Nutr Res Rev 2023:1-20. [PMID: 37749936 DOI: 10.1017/s0954422423000239] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/27/2023]
Abstract
Accumulating evidence shows associations between rapid eating and overweight. Modifying eating rate might be a potential weight management strategy without imposing additional dietary restrictions. A comprehensive understanding of factors associated with eating speed will help with designing effective interventions. The aim of this review was to synthesise the current state of knowledge on the factors associated with eating rate. The socio-ecological model (SEM) was utilised to scaffold the identified factors. A comprehensive literature search of eleven databases was conducted to identify factors associated with eating rate. The 104 studies that met the inclusion criteria were heterogeneous in design and methods of eating rate measurement. We identified thirty-nine factors that were independently linked to eating speed and mapped them onto the individual, social and environmental levels of the SEM. The majority of the reported factors pertained to the individual characteristics (n = 20) including demographics, cognitive/psychological factors and habitual food oral processing behaviours. Social factors (n = 11) included eating companions, social and cultural norms, and family structure. Environmental factors (n = 8) included food texture and presentation, methods of consumption or background sounds. Measures of body weight, food form and characteristics, food oral processing behaviours and gender, age and ethnicity were the most researched and consistent factors associated with eating rate. A number of other novel and underresearched factors emerged, but these require replication and further research. We highlight directions for further research in this space and potential evidence-based candidates for interventions targeting eating rate.
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Affiliation(s)
- Yang Chen
- Division of Industrial Design, National University of Singapore, Singapore
- Keio-NUS CUTE Center, National University of Singapore, Singapore
| | - Anna Fogel
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore
| | - Yue Bi
- Department of Psychology, National University of Singapore, Singapore
| | - Ching Chiuan Yen
- Division of Industrial Design, National University of Singapore, Singapore
- Keio-NUS CUTE Center, National University of Singapore, Singapore
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3
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Garcidueñas-Fimbres TE, Paz-Graniel I, Gómez-Martínez C, Jurado-Castro JM, Leis R, Escribano J, Moreno LA, Navas-Carretero S, Portoles O, Pérez-Vega KA, Gil-Campos M, López-Rubio A, Rey-Reñones C, De Miguel-Etayo P, Martínez JA, Flores-Rojas K, Vázquez-Cobela R, Luque V, Miguel-Berges ML, Pastor-Villaescusa B, Llorente-Cantarero FJ, Salas-Salvadó J, Babio N. Associations Between Eating Speed, Diet Quality, Adiposity, and Cardiometabolic Risk Factors. J Pediatr 2023; 252:31-39.e1. [PMID: 36027978 DOI: 10.1016/j.jpeds.2022.08.024] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/19/2022] [Revised: 08/15/2022] [Accepted: 08/18/2022] [Indexed: 11/26/2022]
Abstract
OBJECTIVE To assess the associations between eating speed, adiposity, cardiometabolic risk factors, and diet quality in a cohort of Spanish preschool-children. STUDY DESIGN A cross-sectional study in 1371 preschool age children (49% girls; mean age, 4.8 ± 1.0 years) from the Childhood Obesity Risk Assessment Longitudinal Study (CORALS) cohort was conducted. After exclusions, 956 participants were included in the analyses. The eating speed was estimated by summing the total minutes used in each of the 3 main meals and then categorized into slow, moderate, or fast. Multiple linear and logistic regression models were fitted to assess the β-coefficient, or OR and 95% CI, between eating speed and body mass index, waist circumference, fat mass index (FMI), blood pressure, fasting plasma glucose, and lipid profile. RESULTS Compared with participants in the slow-eating category, those in the fast-eating category had a higher prevalence risk of overweight/obesity (OR, 2.9; 95% CI, 1.8-4.4; P < .01); larger waist circumference (β, 2.6 cm; 95% CI, 1.5-3.8 cm); and greater FMI (β, 0.3 kg/m2; 95% CI, 0.1-0.5 kg/m2), systolic blood pressure (β, 2.8 mmHg; 95% CI, 0.6-4.9 mmHg), and fasting plasma glucose levels (β, 2.7 mg/dL, 95% CI, 1.2-4.2 mg/dL) but lower adherence to the Mediterranean diet (β, -0.5 points; 95% CI, -0.9 to -0.1 points). CONCLUSIONS Eating fast is associated with higher adiposity, certain cardiometabolic risk factors, and lower adherence to a Mediterranean diet. Further long-term and interventional studies are warranted to confirm these associations.
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Affiliation(s)
- Tany E Garcidueñas-Fimbres
- Consorcio CIBER. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana, Reus, Spain; Institut d'Investigació Sanitària Pere Virgili, Reus, Spain
| | - Indira Paz-Graniel
- Consorcio CIBER. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana, Reus, Spain; Institut d'Investigació Sanitària Pere Virgili, Reus, Spain
| | - Carlos Gómez-Martínez
- Consorcio CIBER. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana, Reus, Spain; Institut d'Investigació Sanitària Pere Virgili, Reus, Spain
| | - Jose Manuel Jurado-Castro
- Consorcio CIBER. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; Reina Sofia University Hospital, Maimónides Biomedical Research Institute of Cordoba., University of Córdoba, Córdoba, Spain
| | - Rosaura Leis
- Consorcio CIBER. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; Unit of Pediatric Gastroenterology, Hepatology and Nutrition, Pediatric Service, Complejo Hospitalario Universitario de Santiago de Compostela, Santiago de Compostela, Spain; Pediatric Nutrition Research Group, Health Research Institute of Santiago de Compostela, Santiago de Compostela, Spain; Unit of Investigation in Human Nutrition, Growth and Development of Galicia, University of Santiago de Compostela, Santiago de Compostela, Spain
| | - Joaquin Escribano
- Institut d'Investigació Sanitària Pere Virgili, Reus, Spain; Pediatrics, Nutrition, and Development Research Unit, Universitat Rovira i Virgili, Reus, Spain
| | - Luis A Moreno
- Consorcio CIBER. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; Growth, Exercise, Nutrition and Development Research Group, Instituto Agroalimentario de Aragón, Instituto de Investigación Sanitaria Aragón, University of Zaragoza, Zaragoza, Spain; Department of Physiatry and Nursing, University of Zaragoza, Zaragoza, Spain
| | - Santiago Navas-Carretero
- Consorcio CIBER. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; Center for Nutrition Research, University of Navarra, Pamplona, Spain; IdisNA Institute for Health Research, Pamplona, Spain
| | - Olga Portoles
- Consorcio CIBER. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; Department of Preventive Medicine and Public Health, University of Valencia, Valencia, Spain
| | - Karla A Pérez-Vega
- Consorcio CIBER. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; Cardiovascular Risk and Nutrition Research Group, Hospital del Mar Medical Research Institute, Barcelona, Spain
| | - Mercedes Gil-Campos
- Consorcio CIBER. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; Reina Sofia University Hospital, Maimónides Biomedical Research Institute of Cordoba., University of Córdoba, Córdoba, Spain
| | - Alicia López-Rubio
- Unit of Pediatric Gastroenterology, Hepatology and Nutrition, Pediatric Service, Complejo Hospitalario Universitario de Santiago de Compostela, Santiago de Compostela, Spain; Pediatric Nutrition Research Group, Health Research Institute of Santiago de Compostela, Santiago de Compostela, Spain; Unit of Investigation in Human Nutrition, Growth and Development of Galicia, University of Santiago de Compostela, Santiago de Compostela, Spain
| | - Cristina Rey-Reñones
- Departament de Ciències Mèdiques Bàsiques, Facultat de Medicina, Universitat Rovira i Virgili, Reus, Spain; Unitat de Suport a la Recerca Camp de Tarragona, Fundació Institut Universitari per a la Recerca a l'Atenció Primària de Salut Jordi Gol i Gurina, Reus, Spain; Centre d'Atenció Primària St Pere, Direcció d'Atenció Primària Camp de Tarragona, Institut Català de la Salut, Reus, Spain
| | - Pilar De Miguel-Etayo
- Consorcio CIBER. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; Growth, Exercise, Nutrition and Development Research Group, Instituto Agroalimentario de Aragón, Instituto de Investigación Sanitaria Aragón, University of Zaragoza, Zaragoza, Spain; Department of Physiatry and Nursing, University of Zaragoza, Zaragoza, Spain
| | | | - Katherine Flores-Rojas
- Reina Sofia University Hospital, Maimónides Biomedical Research Institute of Cordoba., University of Córdoba, Córdoba, Spain
| | - Rocío Vázquez-Cobela
- Consorcio CIBER. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; Unit of Pediatric Gastroenterology, Hepatology and Nutrition, Pediatric Service, Complejo Hospitalario Universitario de Santiago de Compostela, Santiago de Compostela, Spain; Pediatric Nutrition Research Group, Health Research Institute of Santiago de Compostela, Santiago de Compostela, Spain; Unit of Investigation in Human Nutrition, Growth and Development of Galicia, University of Santiago de Compostela, Santiago de Compostela, Spain
| | - Verónica Luque
- Institut d'Investigació Sanitària Pere Virgili, Reus, Spain; Pediatrics, Nutrition, and Development Research Unit, Universitat Rovira i Virgili, Reus, Spain
| | - Maria Luisa Miguel-Berges
- Consorcio CIBER. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; Growth, Exercise, Nutrition and Development Research Group, Instituto Agroalimentario de Aragón, Instituto de Investigación Sanitaria Aragón, University of Zaragoza, Zaragoza, Spain; Department of Physiatry and Nursing, University of Zaragoza, Zaragoza, Spain
| | - Belén Pastor-Villaescusa
- Reina Sofia University Hospital, Maimónides Biomedical Research Institute of Cordoba., University of Córdoba, Córdoba, Spain
| | - Francisco Jesus Llorente-Cantarero
- Consorcio CIBER. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; Department of Specific Didactics, Faculty of Education, University of Córdoba, Córdoba, Spain
| | - Jordi Salas-Salvadó
- Consorcio CIBER. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana, Reus, Spain; Institut d'Investigació Sanitària Pere Virgili, Reus, Spain.
| | - Nancy Babio
- Consorcio CIBER. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana, Reus, Spain; Institut d'Investigació Sanitària Pere Virgili, Reus, Spain.
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4
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Yuan SQ, Liu YM, Liang W, Li FF, Zeng Y, Liu YY, Huang SZ, He QY, Quach B, Jiao J, Baker JS, Yang YD. Association Between Eating Speed and Metabolic Syndrome: A Systematic Review and Meta-Analysis. Front Nutr 2021; 8:700936. [PMID: 34746200 PMCID: PMC8564065 DOI: 10.3389/fnut.2021.700936] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2021] [Accepted: 09/14/2021] [Indexed: 11/13/2022] Open
Abstract
Objective: This review aimed to systematically summarize and meta-analyze the association between eating speed and metabolic syndrome (MetS). Methods: Following the Preferred Reporting Items for Systematic Reviews, and Meta Analyses (PRISMA) guidelines, four electronic databases (PubMed, Web of Science, MEDLINE, and EMBASE) were searched until March 2021 to identify eligible articles based on a series of inclusion and exclusion criteria. Heterogeneity was examined using I 2 statistics. Using random-effects models, the pooled odds ratios (ORs), and 95% CIs were calculated to evaluate the association between eating speed with MetS and its components, including central obesity, blood pressure (BP), high-density lipoprotein cholesterol (HDL), triglyceride (TG), and fasting plasma glucose (FPG). Results: Of the 8,500 original hits generated by the systematic search, 29 eligible studies with moderate-to-high quality were included, involving 465,155 subjects. The meta-analysis revealed that eating faster was significantly associated with higher risks of MetS (OR = 1.54, 95% CI: 1.27-1.86), central obesity (OR = 1.54, 95% CI: 1.37-1.73), elevated BP (OR = 1.26, 95% CI: 1.13-1.40), low HDL (OR = 1.23, 95% CI: 1.15-1.31), elevated TG (OR = 1.29, 95% CI: 1.18-1.42), and elevated FPG (OR = 1.16, 95% CI: 1.06-1.27) compared to eating slowly. Conclusions: The results of the review indicated that eating speed was significantly associated with MetS and its components. Interventions related to decreasing eating speed may be beneficial for the management of MetS. Systematic Review Registration: https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42021242213, identifier: CRD42021242213.
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Affiliation(s)
- Shu-Qian Yuan
- Key Laboratory of Molecular Epidemiology of Hunan Province, School of Medicine, Hunan Normal University, Changsha, China
| | - Ying-Ming Liu
- Key Laboratory of Molecular Epidemiology of Hunan Province, School of Medicine, Hunan Normal University, Changsha, China
| | - Wei Liang
- Centre for Health and Exercise Science Research, Hong Kong Baptist University, Hong Kong, China.,Department of Sport, Physical Education and Health, Hong Kong Baptist University, Hong Kong, China
| | - Fei-Fei Li
- Centre for Health and Exercise Science Research, Hong Kong Baptist University, Hong Kong, China.,Department of Sport, Physical Education and Health, Hong Kong Baptist University, Hong Kong, China
| | - Yuan Zeng
- Key Laboratory of Molecular Epidemiology of Hunan Province, School of Medicine, Hunan Normal University, Changsha, China
| | - Yin-Yue Liu
- Key Laboratory of Molecular Epidemiology of Hunan Province, School of Medicine, Hunan Normal University, Changsha, China
| | - Shu-Zhen Huang
- Key Laboratory of Molecular Epidemiology of Hunan Province, School of Medicine, Hunan Normal University, Changsha, China
| | - Quan-Yuan He
- Key Laboratory of Molecular Epidemiology of Hunan Province, School of Medicine, Hunan Normal University, Changsha, China
| | - Binh Quach
- Department of Sport, Physical Education and Health, Hong Kong Baptist University, Hong Kong, China
| | - Jiao Jiao
- Dr. Stephen Hui Research Centre for Physical Recreation and Wellness, Hong Kong Baptist University, Hong Kong, China
| | - Julien S Baker
- Centre for Health and Exercise Science Research, Hong Kong Baptist University, Hong Kong, China.,Department of Sport, Physical Education and Health, Hong Kong Baptist University, Hong Kong, China
| | - Yi-de Yang
- Key Laboratory of Molecular Epidemiology of Hunan Province, School of Medicine, Hunan Normal University, Changsha, China
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5
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Cox JS, Elsworth R, Perry R, Hamilton-Shield JP, Kinnear F, Hinton EC. The feasibility, acceptability, and benefit of interventions that target eating speed in the clinical treatment of children and adolescents with overweight or obesity: A systematic review and meta-analysis. Appetite 2021; 168:105780. [PMID: 34743830 DOI: 10.1016/j.appet.2021.105780] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2021] [Revised: 10/20/2021] [Accepted: 10/25/2021] [Indexed: 11/19/2022]
Abstract
Eating at a faster speed is positively correlated with having a higher BMI. Modifying eating speed may offer a treatment opportunity for those with overweight and obesity. This review sought to understand the feasibility, acceptability, and benefit to using eating speed interventions in paediatric clinical weight-management settings. The PICO Framework was used. Clinical studies of eating speed interventions as a treatment for paediatric patients with overweight or obesity were included. No limits to search date were implemented. A systematic search of MEDLINE, PsychINFO and EMBASE via OVID, Web of Science and JBI, Database of systematic reviews and Implementation reports, along with trial registers NICE, ClinicalTrials.gov and Cochrane Central Register of Controlled Trials was conducted. Two authors were responsible for screening, extraction, and evaluation of the risk of bias. Fifteen papers reporting twelve interventions addressing eating-speed were identified, involving a total of 486 active participants (range 7-297). Study design was weak with only one full RCT and there were some concerns over quality and risk of bias (Cochrane RoB 2.0). Limited sample sizes and different measured outcomes did not allow powered evaluations of effect for all outcomes. There is some indication, overall, that addressing eating speed has the potential to be a beneficial adjunct to clinical obesity treatment, although the pooled effect estimate did not demonstrate a difference in BMISDS status following eating speed interventions compared to control [pooled mean difference (0.04, 95% CI -0.39 to 0.46, N = 3)]. Developments to improve the engagement to, and acceptability of, interventions are required, alongside rigorous high-quality trials to evaluate effectiveness.
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Affiliation(s)
- Jennifer S Cox
- National Institute for Health Research Bristol Biomedical Research Centre Nutrition Theme, University Hospitals Bristol NHS Foundation Trust and University of Bristol, Bristol, BS8 1TU, UK
| | - Rebecca Elsworth
- National Institute for Health Research Bristol Biomedical Research Centre Nutrition Theme, University Hospitals Bristol NHS Foundation Trust and University of Bristol, Bristol, BS8 1TU, UK
| | - Rachel Perry
- National Institute for Health Research Bristol Biomedical Research Centre Nutrition Theme, University Hospitals Bristol NHS Foundation Trust and University of Bristol, Bristol, BS8 1TU, UK
| | - Julian P Hamilton-Shield
- National Institute for Health Research Bristol Biomedical Research Centre Nutrition Theme, University Hospitals Bristol NHS Foundation Trust and University of Bristol, Bristol, BS8 1TU, UK
| | - Fiona Kinnear
- National Institute for Health Research Bristol Biomedical Research Centre Nutrition Theme, University Hospitals Bristol NHS Foundation Trust and University of Bristol, Bristol, BS8 1TU, UK
| | - Elanor C Hinton
- National Institute for Health Research Bristol Biomedical Research Centre Nutrition Theme, University Hospitals Bristol NHS Foundation Trust and University of Bristol, Bristol, BS8 1TU, UK.
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Alvarez C, Flores-Opazo M, Mancilla R, Martínez-Salazar C, Mangiamarchi P, Sade-Calles F, Ramírez-Campillo R. Gender differences in blood pressure and body composition in schoolchildren ascendants from Amerindian and European. ETHNICITY & HEALTH 2021; 26:936-947. [PMID: 30681013 DOI: 10.1080/13557858.2018.1557119] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/17/2018] [Accepted: 12/01/2018] [Indexed: 06/09/2023]
Abstract
Background: In spite of there are a wide knowledge of the prevalence of hypertension in adult, there is poor information on schoolchildren of different ethnicity and gender.Aim: To compare the levels of blood pressure and other cardiometabolic risk factors for hypertension between schoolchildren of different gender and ethnicity.Material and methods: In a cross-sectional study, 540 schoolchildren (6-13 years) ascendants from a Chilean public school population were analysed by ethnicity and gender in four groups (Mapuches N = 55; European boys N = 199, and Mapuches N = 64, and European girls N = 222). The study included the measurement of cardiovascular (systolic and diastolic blood pressure) as main outcomes, as well as other cardiovascular (resting heart rate), body composition (body mass, BMI, waist circumference, fat mass, muscle mass), muscle strength (handgrip strength of dominant, non-dominant, and mean handgrip strength) as additional cardiometabolic outcomes.Results: The systolic blood pressure was significantly higher in Mapuches girls 126 ± 4 vs. their European counterparts 119 ± 3 mmHg, P < .002, as well as diastolic blood pressure, was higher in Mapuches girls 82 ± 5 vs. European girls 74 ± 3 mmHg, P < .0001. There were more 'prehypertensive' Mapuches girls 10 (15.6%) vs. European peers 22 (9.9%) at P < .0001, and the 'hypertension' was significantly more prevalent in Mapuches boys 19 (34.5%) vs. European peers 39 (19.4%) at P < .0001, as well as in Mapuches girls 16 (25%) vs. European peers 33 (14.9%) at P < .0001. The 'obesity' was less prevalent in Mapuches 10 (18.2%) vs. European boys 55 (27.4%) at P < .0001. The waist circumference was high in European 74 ± 4 vs. Mapuches 67 ± 6 cm, P < .012 in boys, although, waist circumference was high in Mapuches girls 75 ± 5 vs. European peers 71 ± 3 cm, P < .021. There were higher levels of muscle mass in Mapuches boys 19.5 ± 12 vs. European peers 17.1 ± 4 kg, P < .0001.Conclusion: Mapuches girls show higher levels of systolic and diastolic BP than European girls, Mapuches boys and girls are more hypertensive than European peers, but are less obese than European schoolchildren peers. These cardiometabolic differences that are more detrimental for endemic ethnic Latinoamerican groups are in need to be explored further.
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Affiliation(s)
- Cristian Alvarez
- Department of Physical Activity Sciences, Universidad de Los Lagos, Osorno, Chile
| | - Marcelo Flores-Opazo
- Laboratorio de Ciencias del Ejercicio y La Actividad Física, Universidad Finis Terrae, Santiago, Chile
| | - Rodrigo Mancilla
- Department of Nutrition and Movement Sciences, University of Maastricht, Maastricht, Netherlands
| | - Cristian Martínez-Salazar
- Faculty of Education, Social Sciences and Humanities, Department of Physical Education and Recreation, Universidad de la Frontera, Temuco, Chile
| | - Pedro Mangiamarchi
- Centre of Physical Exercise, Cardiovascular Health Program, Padre las Casas, Chile
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Slyper A, Shenker J, Israel A. A Questionnaire-Based Assessment of Hunger, Speed of Eating and Food Intake in Children with Obesity. Diabetes Metab Syndr Obes 2021; 14:59-66. [PMID: 33447065 PMCID: PMC7802897 DOI: 10.2147/dmso.s286291] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/11/2020] [Accepted: 12/04/2020] [Indexed: 12/30/2022] Open
Abstract
PURPOSE The aim of this study was to investigate the hypothesis that obesity in Israeli children is associated with chronically increased hunger and to examine for persistent abnormalities of satiation and between-meal satiety in these children. SUBJECTS/METHODS The parents of 200 children with obesity and 100 normal-weight children completed a questionnaire together with their child that rated hunger, food intake at main meal, and speed of eating. Time to hunger from the main meal was also recorded. Children with hunger ratings above 4 on a 7-point scale were considered to have persistent hunger. Food intake ratings at the main meal were used as an approximate indicator of satiation and time from main meal to feeling hunger as an approximate indicator of between-meal satiety. RESULTS There were marked differences between children with obesity and controls for hunger, food intake at main meal and speed of eating ratings (all p<0.001). The difference to time to hunger reached significance after adjusting for age and sex (p=0.048). 41% of the children with obesity had the highest rating for persistent hunger versus 5% of controls (p<0.001). CONCLUSION Persistent hunger, abnormal food intake at the main meal and rapid eating are common in children with obesity and are often of marked degree. These findings could have implications for understanding how pediatric obesity perpetuates itself and even worsens and its resistance to successful treatment over the long term.
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Affiliation(s)
- Arnold Slyper
- Pediatric Endocrinology, Clalit Health Services, Jerusalem, Israel
- Correspondence: Arnold Slyper Pediatric Specialty Center, Clalit Health Services, 22 Bnei Brit St, Jerusalem9514622, IsraelTel +972 58 578 8844 Email
| | - Joelle Shenker
- Department of Pediatrics, Clalit Health Services, Jerusalem, Israel
| | - Ariel Israel
- Department of Family Medicine, Clalit Health Services, Jerusalem, Israel
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Slyper A. Oral Processing, Satiation and Obesity: Overview and Hypotheses. Diabetes Metab Syndr Obes 2021; 14:3399-3415. [PMID: 34345176 PMCID: PMC8323852 DOI: 10.2147/dmso.s314379] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/05/2021] [Accepted: 07/14/2021] [Indexed: 12/15/2022] Open
Abstract
Increasing the speed of eating or decreasing the amount of chewing of a test meal significantly decreases its satiation, increases concomitant caloric intake, and influences entero-endocrine secretion. Speed of eating is a strong risk factor for obesity and longitudinal studies suggest an etiological relationship. Individuals with obesity have an increase in bite size, less chewing per bite, decreased satiation, and greater food intake. Oral processing in terms of bite size and amount of chewing per gram of food is influenced by food texture and textural complexity. Soft foods increase bite size and decrease chewing per gram of food and meal duration compared to hard foods. An ultra-processed diet can lead to greater weight gain than a non-processed diet and a significant increase in eating rate. Many children with obesity are noted by their parents to have persistent hunger on a questionnaire and this is often extreme. Results of attempts to change eating behavior have been mixed in terms of producing long-term changes in eating behavior and body weight. It is hypothesized that there may be a unidirectional relationship between changes in oral processing, satiation and weight gain. However, the presence of persistent hunger can produce a vicious cycle that may exacerbate obesity and make treatment difficult. The increased energy density of foods as found particularly in ultra-processed foods also influences energy intake and obesity.
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Affiliation(s)
- Arnold Slyper
- Pediatric Endocrinology, Clalit Health Services, Jerusalem, Israel
- Correspondence: Arnold Slyper Pediatric Endocrinology, Clalit Health Services, Jerusalem, IsraelTel +972 58 578 8844 Email
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Physiopathology of Lifestyle Interventions in Non-Alcoholic Fatty Liver Disease (NAFLD). Nutrients 2020; 12:nu12113472. [PMID: 33198247 PMCID: PMC7697937 DOI: 10.3390/nu12113472] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2020] [Accepted: 11/06/2020] [Indexed: 12/12/2022] Open
Abstract
Non-alcoholic fatty liver disease (NAFLD) is a major health problem, and its prevalence has increased in recent years. Diet and exercise interventions are the first-line treatment options, with weight loss via a hypocaloric diet being the most important therapeutic target in NAFLD. However, most NAFLD patients are not able to achieve such weight loss. Therefore, the requisite is the investigation of other effective therapeutic approaches. This review summarizes research on understanding complex pathophysiology underlying dietary approaches and exercise interventions with the potential to prevent and treat NAFLD.
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Cao X, Gu Y, Bian S, Zhang Q, Meng G, Liu L, Wu H, Zhang S, Wang Y, Zhang T, Wang X, Sun S, Wang X, Jia Q, Song K, Niu K. Association between eating speed and newly diagnosed nonalcoholic fatty liver disease among the general population. Nutr Res 2020; 80:78-88. [PMID: 32736293 DOI: 10.1016/j.nutres.2020.06.012] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2020] [Revised: 04/09/2020] [Accepted: 06/17/2020] [Indexed: 12/11/2022]
Abstract
Fast eating speed is a risk factor for obesity, which is also closely related to nonalcoholic fatty liver disease (NAFLD), suggesting that fast eating speed may contribute to the development of NAFLD. But the extent to which obesity may mediate the association between eating speed and NAFLD is uncertain. We hypothesized that obesity plays a mediating role in the association between eating speed and prevalence of NAFLD in the general population. A cross-sectional study (n = 23,611) was conducted in a general population sample from Tianjin, China. We measured anthropometrics and biochemical variables. The self-reported eating speed per meal was recorded and classified into 4 categories: slow, medium, relatively fast, and very fast. NAFLD was diagnosed by liver ultrasonography. Multiple logistic regression analysis was used to assess the associations between the eating speed and the prevalence of NAFLD, as well as the mediation effects of obesity on the association between eating speed and NAFLD. The prevalence of newly diagnosed NAFLD was 19.0%. After adjusting for potentially confounding factors, the odds ratios (95% confidence interval) of NAFLD across categories of eating speed were 1.00 (reference), 1.39 (1.18-1.64), 1.71 (1.45-2.01), and 2.04 (1.70-2.46). All these significant odds ratios were attenuated to be nonsignificant by adjustment for body mass index and/or waist circumference. This is the first study to demonstrate that eating speed is not independently associated with increased risk of NAFLD.
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Affiliation(s)
- Xingqi Cao
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Yeqing Gu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Shanshan Bian
- The Second Hospital of Tianjin Medical University, Tianjin, China
| | - Qing Zhang
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Ge Meng
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China; Department of Toxicology and Sanitary Chemistry, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Li Liu
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Hongmei Wu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Shunming Zhang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Yawen Wang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Tingjing Zhang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Xuena Wang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Shaomei Sun
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Xing Wang
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Qiyu Jia
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Kun Song
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Kaijun Niu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China; Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China; Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, China; Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, China.
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11
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Yoshinaga M, Miyazaki A, Aoki M, Ogata H, Ito Y, Hamajima T, Tokuda M, Lin L, Horigome H, Takahashi H, Nagashima M. Promoting physical activity through walking to treat childhood obesity, mainly for mild to moderate obesity. Pediatr Int 2020; 62:976-984. [PMID: 32304151 DOI: 10.1111/ped.14253] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/29/2019] [Revised: 02/18/2020] [Accepted: 03/27/2020] [Indexed: 10/24/2022]
Abstract
BACKGROUND There are no randomized controlled trials examining the effect of walking on childhood obesity. METHODS A randomized controlled trial was conducted between August 2014 and April 2015 in Japan. Elementary school children aged 6 to 12 years with a percentage overweight (%OW) of ≥20% were recruited. One hundred and ninety children wanted to participate in the program, and all were accepted. After viewing a video that promoted physical activity through walking, participants were randomly assigned to three groups: walking (≥10 000 steps on school holidays), limiting screen time (<90 min on weekdays and <150 min on school holidays), and a control group (no intervention). The primary outcome was a decrease in %OW after 3 months' intervention. Per protocol analysis was performed using 156 participants who fulfilled the inclusion criteria of a %OW ≥20%. RESULTS The mean %OW was 35 ± 7% before intervention. The mean reduction in %OW after intervention in the walking (n = 59), limiting ST (n = 46), and control (n = 51) groups were -4.06 ± 4.84, -1.97 ± 4.62, and -1.81 ± 3.64 percentage points, respectively. Reduction in %OW was significantly larger in the walking group than in the control group: adjusted mean difference, -2.18 percentage points (95% confidence interval, -3.85 to -0.52), P = 0.002. The intervention in children also had favorable effects on the lifestyles of their parents. The intention-to-treat analysis of all 190 participants showed comparable results. CONCLUSION Promoting physical activity through walking on school holidays may be an additional strategy for treating elementary school children with obesity.
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Affiliation(s)
- Masao Yoshinaga
- Department of Pediatrics, National Hospital Organization Kagoshima Medical Center, Kagoshima, Japan
| | - Ayumi Miyazaki
- Department of Pediatrics, Japan Community Health Care Organization Takaoka Fushiki Hospital, Takaoka, Japan
| | - Machiko Aoki
- Aoki Internal Cardiology and Pediatric Clinic, Fukuoka, Japan
| | - Hiromitsu Ogata
- Epidemiology and Biostatistics, Kagawa Nutrition University, Sakado, Japan
| | - Yoshiya Ito
- Faculty of Nursing, Japanese Red Cross Hokkaido College of Nursing, Kitami, Japan
| | - Takashi Hamajima
- Department of Endocrinology and Metabolism, Aichi Children's Health and Medical Center, Ohbu, Japan
| | | | - Lisheng Lin
- Department of Child Health, Graduate School of Comprehensive Human Sciences, University of Tsukuba, Tsukuba, Japan
| | - Hitoshi Horigome
- Department of Child Health, Graduate School of Comprehensive Human Sciences, University of Tsukuba, Tsukuba, Japan
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Esfandiari M, Papapanagiotou V, Diou C, Zandian M, Nolstam J, Södersten P, Bergh C. Control of Eating Behavior Using a Novel Feedback System. J Vis Exp 2018:57432. [PMID: 29806832 PMCID: PMC6101162 DOI: 10.3791/57432] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
Subjects eat food from a plate that sits on a scale connected to a computer that records the weight loss of the plate during the meal and makes up a curve of food intake, meal duration and rate of eating modeled by a quadratic equation. The purpose of the method is to change eating behavior by providing visual feedback on the computer screen that the subject can adapt to because her/his own rate of eating appears on the screen during the meal. The data generated by the method is automatically analyzed and fitted to the quadratic equation using a custom made algorithm. The method has the advantage of recording eating behavior objectively and offers the possibility of changing eating behavior both in experiments and in clinical practice. A limitation may be that experimental subjects are affected by the method. The same limitation may be an advantage in clinical practice, as eating behavior is more easily stabilized by the method. A treatment that uses this method has normalized body weight and restored the health of several hundred patients with anorexia nervosa and other eating disorders and has reduced the weight and improved the health of severely overweight patients.
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Affiliation(s)
| | | | - Christos Diou
- Department of Electrical and Computer Engineering, Aristotle University of Thessaloniki
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