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Arend I, Yuen K. Association between healthy neuroticism and eating behavior as revealed by the NKI Rockland Sample. Sci Rep 2025; 15:5858. [PMID: 39966450 PMCID: PMC11836064 DOI: 10.1038/s41598-025-85750-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2024] [Accepted: 01/06/2025] [Indexed: 02/20/2025] Open
Abstract
Trait neuroticism predicts an increased risk of mortality. However, high levels of both neuroticism and conscientiousness (i.e., healthy neuroticism) are associated with various positive health behaviors. Eating behavior is a modifiable risk factor for obesity and metabolic diseases. This study investigated the cross-sectional and longitudinal associations between healthy neuroticism and eating behaviors. The data from the Nathan Kline Institute for Psychiatric Research-Rockland Sample included 712 adults with complete assessments of personality, eating behaviors, and metabolic markers. Linear and mixed linear regression models were used to examine cross-sectional and longitudinal associations of eating behaviors and personality traits, adjusting for sociodemographics, sleep quality, and body mass index (BMI). Healthy neuroticism cross-sectionally predicted the disinhibition and hunger dimensions of eating behavior, a result that withstood the inclusion of disease burden, clinical metabolic markers, and other personality traits. Longitudinally, healthy neuroticism did not predict changes in eating behavior. Greater conscientiousness scores were associated with increased restraint. These findings provide the first evidence that neuroticism is associated with less maladaptive eating behavior when modulated by conscientiousness. The implications of these associations for the relationships between eating behavior, metabolic health, and personality are discussed.
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Affiliation(s)
- Isabel Arend
- The Joseph Sagol Neuroscience Center, Sheba Medical Center, Tel-Hashomer, Israel.
| | - Kenneth Yuen
- Neuroimaging Center (NIC), Focus Programme Translational Neuroscience (FTN), Johannes Gutenberg University Medical Center Mainz, Mainz, Germany
- Leibniz Institute for Resilience Research (LIR), Mainz, Germany
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Andreoli MF, Kruger AL, Sokolov AV, Rukh G, De Francesco PN, Perello M, Schiöth HB. LEAP2 is associated with impulsivity and reward sensitivity depending on the nutritional status and decreases with protein intake in humans. Diabetes Obes Metab 2024; 26:4734-4743. [PMID: 39140219 DOI: 10.1111/dom.15850] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/04/2024] [Revised: 07/12/2024] [Accepted: 07/17/2024] [Indexed: 08/15/2024]
Abstract
AIM Liver-expressed antimicrobial peptide 2 (LEAP2) dynamics in human plasma and its association with feeding behaviour remain poorly understood. Therefore, this study aims: (a) to investigate fasting LEAP2 in participants with normal weight or with overweight or mild obesity (OW/OB); (b) to study the association between fasting LEAP2 and anthropometric and metabolic traits, feeding behaviour, LEAP2 genetic variants and blood cell DNA methylation status; and (c) to ascertain postprandial changes in LEAP2 after high protein intake and the association with feeding behaviour and food intake. METHODS Anthropometric and behavioural measures, genotyping, methylation profiling, plasma glucose and LEAP2 concentrations were assessed in 327 females and males. A subgroup of 123 participants received an ad libitum high-protein meal, and postprandial LEAP2 concentration and behavioural measures were assessed. RESULTS LEAP2 concentration was higher in participants with OW/OB (p < 0.001) and in females (p < 0.001), and was associated with LEAP2 single nucleotide polymorphisms rs765760 (p = 0.012) and rs803223 (p = 0.019), but not with LEAP2 methylation status. LEAP2 concentration was directly related to glycaemia (p = 0.001) and fullness (p = 0.003) in participants with normal weight, whereas it was associated with body mass index (p = 0.018), waist circumference (p = 0.014) and motor impulsivity in participants with OW/OB (p = 0.005). A negative association with reward responsiveness was observed in participants with OW/OB (p = 0.023). LEAP2 concentration was inversely associated with food intake (p = 0.034) and decreased after a high-protein meal (p < 0.001), particularly in women (p = 0.002). CONCLUSION Increased LEAP2 in participants with OW/OB is associated with behavioural characteristics of obesity. Our results show sexual dimorphism in LEAP2 concentration before and after food intake and highlight the role of LEAP2 in feeding regulation.
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Affiliation(s)
- María F Andreoli
- Instituto de Desarrollo e Investigaciones Pediátricas (IDIP), Children's Hospital HIAEP "Sor María Ludovica" La Plata-Comisión de Investigaciones Científicas de la Provincia de Buenos Aires (CIC-PBA), La Plata, Argentina
- CONICET La Plata, La Plata, Argentina
- Department of Surgical Sciences, Functional Pharmacology and Neuroscience, Uppsala University, Uppsala, Sweden
| | - Ana Luz Kruger
- Instituto de Desarrollo e Investigaciones Pediátricas (IDIP), Children's Hospital HIAEP "Sor María Ludovica" La Plata-Comisión de Investigaciones Científicas de la Provincia de Buenos Aires (CIC-PBA), La Plata, Argentina
- CONICET La Plata, La Plata, Argentina
| | - Aleksandr V Sokolov
- Department of Surgical Sciences, Functional Pharmacology and Neuroscience, Uppsala University, Uppsala, Sweden
| | - Gull Rukh
- Department of Surgical Sciences, Functional Pharmacology and Neuroscience, Uppsala University, Uppsala, Sweden
| | - Pablo N De Francesco
- Neurophysiology Group, Instituto Multidisciplinario de Biología Celular (IMBICE) (UNLP-CIC-PBA-Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET)), La Plata, Argentina
| | - Mario Perello
- Department of Surgical Sciences, Functional Pharmacology and Neuroscience, Uppsala University, Uppsala, Sweden
- Neurophysiology Group, Instituto Multidisciplinario de Biología Celular (IMBICE) (UNLP-CIC-PBA-Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET)), La Plata, Argentina
| | - Helgi B Schiöth
- Department of Surgical Sciences, Functional Pharmacology and Neuroscience, Uppsala University, Uppsala, Sweden
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Liu Y, Bharmal SH, Kimita W, Petrov MS. Effect of d-β-Hydroxybutyrate-(R)-1,3 Butanediol on Appetite Regulation in People with Prediabetes. Mol Nutr Food Res 2023; 67:e2200615. [PMID: 36565045 DOI: 10.1002/mnfr.202200615] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Revised: 11/22/2022] [Indexed: 12/25/2022]
Abstract
SCOPE The main aim of the present study is to study the effect of acute ketosis on parameters of appetite regulation in prediabetes. METHODS AND RESULTS This is a randomized controlled trial registered under ClinicalTrials.gov identifier NCT03889210. After an overnight fast, 18 adults with prediabetes are assigned to consume a ketone monoester (d-β-hydroxybutyrate-(R)-1,3 butanediol) drink and a placebo drink in cross-over fashion. Blood samples are collected every 30 min, from baseline to 150 min. Paired t test is used to compare the total area under the curve (AUC) for the changes in parameters of appetite regulation (acylated ghrelin, peptide YY [PYY], and hunger) following both drinks. Significant elevation in blood β-hydroxybutyrate from 0.2 to 3.5 mmol L-1 (p < 0.001) is achieved within 30 min. Acute ketosis does not result in statistically significant differences in the AUCs for ghrelin, PYY, and hunger. CONCLUSION Acute ketosis consistently does not affect both objective and subjective parameters of appetite regulation in prediabetes.
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Affiliation(s)
- Yutong Liu
- School of Medicine, University of Auckland, Auckland, 1023, New Zealand
| | - Sakina H Bharmal
- School of Medicine, University of Auckland, Auckland, 1023, New Zealand
| | - Wandia Kimita
- School of Medicine, University of Auckland, Auckland, 1023, New Zealand
| | - Maxim S Petrov
- School of Medicine, University of Auckland, Auckland, 1023, New Zealand
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Translation and validation of the Child Three-Factor Eating Questionnaire (CTFEQr17) in French-speaking Canadian children and adolescents. Public Health Nutr 2022; 25:543-553. [PMID: 34503600 PMCID: PMC9991566 DOI: 10.1017/s136898002100392x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
OBJECTIVE To translate and validate the Child Three-Factor Eating Questionnaire (CTFEQr17), assessing cognitive restraint (CR), uncontrolled eating (UE) and emotional eating (EE), among French-speaking Canadian young individuals. DESIGN Phase 1 comprised a translation and the evaluation of the comprehension of the questionnaire. Phase 2 comprised a confirmatory factor analysis (CFA), the evaluation of internal consistency (Cronbach's α), test-retest reliability (intra-class correlation coefficients (ICC)) and construct validity, including correlations among the CTFEQr17 and Eating Attitudes Test (EAT-26), anthropometrics, dietary intake and diet quality. SETTING Primary and secondary schools, Québec City, Canada. PARTICIPANTS Phases 1 and 2 included 20 (40 % boys, mean age 11·5 (sd 2·4) years) and 145 (48 % boys, mean age 11·0 (sd 1·9) years) participants, respectively. RESULTS Phase 1 resulted in the questionnaire to be used in Phase 2. In Phase 2, the CFA revealed that the seventeen item, three-factor model (CTFEQr17) provided an excellent fit. Internal consistency was good (Cronbach's α: 0·81-0·90). Test-retest reliability was moderate to good (ICC = 0·59, (95 % CI 0·48, 0·70), ICC = 0·78, (95 % CI 0·70, 0·84), ICC = 0·50, (95 % CI 0·38, 0·62) for CR, UE and EE, respectively). CR correlated with EAT-26 score (r = 0·43, P < 0·0001). UE and EE correlated negatively with BMI Z-scores (r = -0;·26, P = 0·003; r = -0;·19, P = 0·03, respectively). CR correlated with the proportion of energy intake from protein and diet quality (r = 0·18, P = 0·04; r = 0·20, P = 0·02, respectively). CONCLUSION The CTFEQr17 is suitable to use among French-speaking Canadian young individuals.
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Desdentado L, Navarrete J, Folgado-Alufre M, de Blas A, Navarro-Siurana J, Ponce F, Molinari G, Jimeno-Martínez A, Rupérez AI, Bueno-Lozano G, Cuenca-Royo A, Corbella E, Agüera Z, Baños RM, Álvarez-Pitti J. Are Peripheral Biomarkers Determinants of Eating Styles in Childhood and Adolescence Obesity? A Cross-Sectional Study. Nutrients 2022; 14:305. [PMID: 35057485 PMCID: PMC8780085 DOI: 10.3390/nu14020305] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2021] [Revised: 11/24/2021] [Accepted: 11/30/2021] [Indexed: 02/04/2023] Open
Abstract
Disturbances in eating behaviors have been widely related to obesity. However, little is known about the role of obesity-related biomarkers in shaping habitual patterns of eating behaviors (i.e., eating styles) in childhood. The objective of the present study was to explore the relationships between several biomarkers crucially involved in obesity (ghrelin, insulin resistance, and leptin/adiponectin ratio) and eating styles in children and adolescents with obesity. Seventy participants aged between 8 and 16 (56.2% men) fulfilled the Spanish version of the Dutch Eating Behavior Questionnaire for Children to measure external, emotional, and restrained eating styles. In addition, concentrations of ghrelin, leptin, adiponectin, insulin, and glucose were obtained through a blood test. Hierarchical multiple regression analyses controlling for age and sex were computed for each eating style. Results indicated that individuals with higher ghrelin concentration levels showed lower scores in restrained eating (β = -0.61, p < 0.001). The total model explained 32% of the variance of the restrained pattern. No other relationships between obesity-related biomarkers and eating behaviors were found. This study highlights that one of the obesity-risk factors, namely lower plasma ghrelin levels, is substantially involved in a well-known maladaptive eating style, restraint eating, in childhood obesity.
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Affiliation(s)
- Lorena Desdentado
- CIBER Fisiopatología Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Av. Monforte de Lemos, 3-5. Pabellón 11, Planta 0, 28029 Madrid, Spain; (L.D.); (F.P.); (G.M.); (A.J.-M.); (A.I.R.); (G.B.-L.); (A.C.-R.); (E.C.); (Z.A.); (R.M.B.)
- Polibienestar Research Institute, University of Valencia, Calle Serpis, 29, 46022 Valencia, Spain; (J.N.); (M.F.-A.); (J.N.-S.)
- Department of Personality, Evaluation, and Psychological Treatments, University of Valencia, Avda. Blasco Ibañez, 21, 46010 Valencia, Spain
| | - Jaime Navarrete
- Polibienestar Research Institute, University of Valencia, Calle Serpis, 29, 46022 Valencia, Spain; (J.N.); (M.F.-A.); (J.N.-S.)
| | - María Folgado-Alufre
- Polibienestar Research Institute, University of Valencia, Calle Serpis, 29, 46022 Valencia, Spain; (J.N.); (M.F.-A.); (J.N.-S.)
- Department of Personality, Evaluation, and Psychological Treatments, University of Valencia, Avda. Blasco Ibañez, 21, 46010 Valencia, Spain
| | - Ana de Blas
- Pediatric Department, Consorcio Hospital General Universitario de Valencia, Avda. Tres Cruces, 2, 46014 Valencia, Spain;
| | - Jéssica Navarro-Siurana
- Polibienestar Research Institute, University of Valencia, Calle Serpis, 29, 46022 Valencia, Spain; (J.N.); (M.F.-A.); (J.N.-S.)
| | - Francisco Ponce
- CIBER Fisiopatología Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Av. Monforte de Lemos, 3-5. Pabellón 11, Planta 0, 28029 Madrid, Spain; (L.D.); (F.P.); (G.M.); (A.J.-M.); (A.I.R.); (G.B.-L.); (A.C.-R.); (E.C.); (Z.A.); (R.M.B.)
- Pediatric Department, Consorcio Hospital General Universitario de Valencia, Avda. Tres Cruces, 2, 46014 Valencia, Spain;
| | - Guadalupe Molinari
- CIBER Fisiopatología Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Av. Monforte de Lemos, 3-5. Pabellón 11, Planta 0, 28029 Madrid, Spain; (L.D.); (F.P.); (G.M.); (A.J.-M.); (A.I.R.); (G.B.-L.); (A.C.-R.); (E.C.); (Z.A.); (R.M.B.)
| | - Andrea Jimeno-Martínez
- CIBER Fisiopatología Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Av. Monforte de Lemos, 3-5. Pabellón 11, Planta 0, 28029 Madrid, Spain; (L.D.); (F.P.); (G.M.); (A.J.-M.); (A.I.R.); (G.B.-L.); (A.C.-R.); (E.C.); (Z.A.); (R.M.B.)
- Growth, Exercise, Nutrition and Development (GENUD) Research Group, Facultad de Ciencias de la Salud, Instituto Agroalimentario de Aragón, Universidad de Zaragoza, Calle Miguel Servet, 177, 50013 Zaragoza, Spain
| | - Azahara I. Rupérez
- CIBER Fisiopatología Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Av. Monforte de Lemos, 3-5. Pabellón 11, Planta 0, 28029 Madrid, Spain; (L.D.); (F.P.); (G.M.); (A.J.-M.); (A.I.R.); (G.B.-L.); (A.C.-R.); (E.C.); (Z.A.); (R.M.B.)
- Growth, Exercise, Nutrition and Development (GENUD) Research Group, Facultad de Ciencias de la Salud, Instituto Agroalimentario de Aragón, Universidad de Zaragoza, Calle Miguel Servet, 177, 50013 Zaragoza, Spain
| | - Gloria Bueno-Lozano
- CIBER Fisiopatología Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Av. Monforte de Lemos, 3-5. Pabellón 11, Planta 0, 28029 Madrid, Spain; (L.D.); (F.P.); (G.M.); (A.J.-M.); (A.I.R.); (G.B.-L.); (A.C.-R.); (E.C.); (Z.A.); (R.M.B.)
- Growth, Exercise, Nutrition and Development (GENUD) Research Group, Facultad de Ciencias de la Salud, Instituto Agroalimentario de Aragón, Universidad de Zaragoza, Calle Miguel Servet, 177, 50013 Zaragoza, Spain
- Paediatric Endocrinology Department, Clinical Hospital Lozano Blesa, Zaragoza, Avda. San Juan Bosco, 50009 Zaragoza, Spain
| | - Aida Cuenca-Royo
- CIBER Fisiopatología Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Av. Monforte de Lemos, 3-5. Pabellón 11, Planta 0, 28029 Madrid, Spain; (L.D.); (F.P.); (G.M.); (A.J.-M.); (A.I.R.); (G.B.-L.); (A.C.-R.); (E.C.); (Z.A.); (R.M.B.)
- Integrative Pharmacology and Systems Neurosciences Research Group, Neurosciences Research Program, Hospital del Mar Medical Research Institute (IMIM), 08003 Barcelona, Spain
| | - Emili Corbella
- CIBER Fisiopatología Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Av. Monforte de Lemos, 3-5. Pabellón 11, Planta 0, 28029 Madrid, Spain; (L.D.); (F.P.); (G.M.); (A.J.-M.); (A.I.R.); (G.B.-L.); (A.C.-R.); (E.C.); (Z.A.); (R.M.B.)
- Cardiovascular Risk Unit, Internal Medicine Department, Bellvitge University Hospital—IDIBELL, Feixa Llarga, s/n, 08907 Barcelona, Spain
| | - Zaida Agüera
- CIBER Fisiopatología Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Av. Monforte de Lemos, 3-5. Pabellón 11, Planta 0, 28029 Madrid, Spain; (L.D.); (F.P.); (G.M.); (A.J.-M.); (A.I.R.); (G.B.-L.); (A.C.-R.); (E.C.); (Z.A.); (R.M.B.)
- Department of Public Health, Mental Health and Perinatal Nursing, Health Sciences Campus Bellvitge, School of Nursing, University of Barcelona, Feixa Llarga, s/n, 08907 Barcelona, Spain
| | - Rosa M. Baños
- CIBER Fisiopatología Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Av. Monforte de Lemos, 3-5. Pabellón 11, Planta 0, 28029 Madrid, Spain; (L.D.); (F.P.); (G.M.); (A.J.-M.); (A.I.R.); (G.B.-L.); (A.C.-R.); (E.C.); (Z.A.); (R.M.B.)
- Polibienestar Research Institute, University of Valencia, Calle Serpis, 29, 46022 Valencia, Spain; (J.N.); (M.F.-A.); (J.N.-S.)
- Department of Personality, Evaluation, and Psychological Treatments, University of Valencia, Avda. Blasco Ibañez, 21, 46010 Valencia, Spain
| | - Julio Álvarez-Pitti
- CIBER Fisiopatología Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Av. Monforte de Lemos, 3-5. Pabellón 11, Planta 0, 28029 Madrid, Spain; (L.D.); (F.P.); (G.M.); (A.J.-M.); (A.I.R.); (G.B.-L.); (A.C.-R.); (E.C.); (Z.A.); (R.M.B.)
- Pediatric Department, Consorcio Hospital General Universitario de Valencia, Avda. Tres Cruces, 2, 46014 Valencia, Spain;
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Exploring Relationships of Eating and Physical Activity Behaviors With Sleep Behaviors Among Adult Weight Loss Participants. TOP CLIN NUTR 2020. [DOI: 10.1097/tin.0000000000000198] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
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Cognitive dietary restraint, disinhibition, and hunger are associated with 24-h energy expenditure. Int J Obes (Lond) 2019; 43:1456-1465. [PMID: 30651576 PMCID: PMC6610661 DOI: 10.1038/s41366-018-0305-9] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/20/2018] [Revised: 12/04/2018] [Accepted: 12/06/2018] [Indexed: 12/25/2022]
Abstract
Background: Higher energy expenditure (EE) is associated with greater food intake, possibly because the human body senses EE and modifies eating behaviors to regulate food intake and ultimately achieve energy balance. As eating behaviors are also influenced by social and cultural factors, any association between EE and eating behavior may differ between ethnicities and sexes. Objective: To assess relationships between EE and eating behavior constructs of the Three-Factor Eating Questionnaire (TFEQ). Subjects/Methods: 307 healthy adults (201M/106F, 160 Native Americans) completed the TFEQ and had measures of 24-h EE in a whole-room calorimeter during energy balance. Body composition was assessed by DXA. Results: On average, adjusted 24-h EE was lower (β=−229 kcal/day, CI: −309-−148, p<0.001) but cognitive restraint (Δ=+1.5; CI: 0.5–2.5, p=0.003) and disinhibition (Δ=+2.1, CI: 1.3–2.8, p<0.001) scores were higher in women compared to men. In Native Americans, adjusted 24-h EE (β=+94 kcal/day, CI: 48–139, p<0.001) and disinhibition scores (Δ=+1.0, CI: 0.1–2.0, p=0.003) were higher compared to other ethnicities. Higher 24-h EE associated with lower cognitive restraint in women (ρ=−0.20, p=0.04), but not men (p=0.71; interaction term p=0.01) with no ethnic differences. Greater 24-h EE associated with higher disinhibition (ρ=0.20, p=0.001) and hunger cues (ρ=0.16, p=0.004) with no gender differences. These associations were primarily present in non-Native Americans (ρ=0.23, p=0.006 and ρ=0.25, p=0.003) but not observed in Native Americans (both p>0.40). Conclusions: Higher EE is associated with psychological constructs of eating behaviors that favors overeating including lower cognitive restraint, higher dietary disinhibition, and greater susceptibility to hungers cues, supporting the existence of energy-sensing mechanisms influencing human eating behavior. These associations were observed in ethnicities other than Native Americans, possibly explaining the contradictory relationships reported between EE and weight change in different ethnic groups. We propose that increased EE may alter eating behaviors, potentially leading to uncontrolled overeating and weight gain.
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Joseph PV, Davidson HR, Boulineaux CM, Fourie NH, Franks AT, Abey SK, Henderson WA. Eating Behavior, Stress, and Adiposity: Discordance Between Perception and Physiology. Biol Res Nurs 2018; 20:531-540. [PMID: 29852756 DOI: 10.1177/1099800418779460] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
The purpose of the study was to examine the interrelationships among stress, eating behavior, and adiposity in a cohort of normal- and overweight individuals. Clinical markers of physiological stress (fasting serum cortisol) and adiposity (body mass index [BMI] and percent body fat) were obtained from participants selected for a natural history protocol ( n = 107). Self-reported data on eating behavior (using the Three-Factor Eating Questionnaire subscales such as Cognitive Restraint, Disinhibition, and Hunger) and psychological stress (via the Perceived Stress Scale) were evaluated. Demographic information was incorporated using principal component analysis, which revealed sex- and weight-based differences in stress, adiposity, and eating behavior measures. Following a cross-sectional and descriptive analysis, significant correlations were found between the Disinhibition and Hunger eating behavior subscales and measures of adiposity including BMI ( r = .30, p = .002 and r = .20, p = .036, respectively) and percent body fat ( r = .43, p = .000 and r = .22, p = .022, respectively). Relationships between stress measures and eating behavior were also evident in the analysis. Disinhibition and Hunger correlated positively with perceived stress ( r = .32, p .001 and r = .26, p = .008, respectively). However, Disinhibition varied inversely with serum cortisol levels ( r = -.25, p = .009). Future studies are warranted to better understand this paradox underlying the effects of perceived and physiological stress on eating behavior.
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Affiliation(s)
- Paule V Joseph
- 1 Sensory Science and Metabolism Unit, Division of Intramural Research, Department of Health and Human Services (DHHS), National Institute of Nursing Research (NINR), National Institutes of Health (NIH), Bethesda, MD, USA
| | - Hannah R Davidson
- 1 Sensory Science and Metabolism Unit, Division of Intramural Research, Department of Health and Human Services (DHHS), National Institute of Nursing Research (NINR), National Institutes of Health (NIH), Bethesda, MD, USA
| | - Christina M Boulineaux
- 2 Digestive Disorders Unit, Division of Intramural Research, Department of Health and Human Services (DHHS), National Institute of Nursing Research (NINR), National Institutes of Health (NIH), Bethesda, MD, USA
| | - Nicolaas H Fourie
- 2 Digestive Disorders Unit, Division of Intramural Research, Department of Health and Human Services (DHHS), National Institute of Nursing Research (NINR), National Institutes of Health (NIH), Bethesda, MD, USA
| | - Alexis T Franks
- 1 Sensory Science and Metabolism Unit, Division of Intramural Research, Department of Health and Human Services (DHHS), National Institute of Nursing Research (NINR), National Institutes of Health (NIH), Bethesda, MD, USA
| | - Sarah K Abey
- 2 Digestive Disorders Unit, Division of Intramural Research, Department of Health and Human Services (DHHS), National Institute of Nursing Research (NINR), National Institutes of Health (NIH), Bethesda, MD, USA
| | - Wendy A Henderson
- 2 Digestive Disorders Unit, Division of Intramural Research, Department of Health and Human Services (DHHS), National Institute of Nursing Research (NINR), National Institutes of Health (NIH), Bethesda, MD, USA
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Zhao J, Li M, Zhang Y, Song H, von Deneen KM, Shi Y, Liu Y, He D. Intrinsic brain subsystem associated with dietary restraint, disinhibition and hunger: an fMRI study. Brain Imaging Behav 2018; 11:264-277. [PMID: 26860835 DOI: 10.1007/s11682-015-9491-4] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Eating behaviors are closely related to body weight, and eating traits are depicted in three dimensions: dietary restraint, disinhibition, and hunger. The current study aims to explore whether these aspects of eating behaviors are related to intrinsic brain activation, and to further investigate the relationship between the brain activation relating to these eating traits and body weight, as well as the link between function connectivity (FC) of the correlative brain regions and body weight. Our results demonstrated positive associations between dietary restraint and baseline activation of the frontal and the temporal regions (i.e., food reward encoding) and the limbic regions (i.e., homeostatic control, including the hypothalamus). Disinhibition was positively associated with the activation of the frontal motivational system (i.e., OFC) and the premotor cortex. Hunger was positively related to extensive activations in the prefrontal, temporal, and limbic, as well as in the cerebellum. Within the brain regions relating to dietary restraint, weight status was negatively correlated with FC of the left middle temporal gyrus and left inferior temporal gyrus, and was positively associated with the FC of regions in the anterior temporal gyrus and fusiform visual cortex. Weight status was positively associated with the FC within regions in the prefrontal motor cortex and the right ACC serving inhibition, and was negatively related with the FC of regions in the frontal cortical-basal ganglia-thalamic circuits responding to hunger control. Our data depicted an association between intrinsic brain activation and dietary restraint, disinhibition, and hunger, and presented the links of their activations and FCs with weight status.
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Affiliation(s)
- Jizheng Zhao
- College of Mechanical and Electronic Engineering, Northwest A&F University, No 22 Xinong Road, Yangling Shaanxi, 712100, China.,School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, 710071, China
| | - Mintong Li
- College of Mechanical and Electronic Engineering, Northwest A&F University, No 22 Xinong Road, Yangling Shaanxi, 712100, China
| | - Yi Zhang
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, 710071, China
| | - Huaibo Song
- College of Mechanical and Electronic Engineering, Northwest A&F University, No 22 Xinong Road, Yangling Shaanxi, 712100, China
| | - Karen M von Deneen
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, 710071, China
| | - Yinggang Shi
- College of Mechanical and Electronic Engineering, Northwest A&F University, No 22 Xinong Road, Yangling Shaanxi, 712100, China
| | - Yijun Liu
- Department of Psychiatry & McKnight Brain Institute, University of Florida, 1149 South Newell Drive, Gainesville, FL, 32610, USA.,Department of Psychology, Southwest University, Chongqing, 400715, China
| | - Dongjian He
- College of Mechanical and Electronic Engineering, Northwest A&F University, No 22 Xinong Road, Yangling Shaanxi, 712100, China.
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Alarcón del Agua I, Socas-Macias M, Busetto L, Torres-Garcia A, Barranco-Moreno A, Garcia de Luna PP, Morales-Conde S. Post-implant Analysis of Epidemiologic and Eating Behavior Data Related to Weight Loss Effectiveness in Obese Patients Treated with Gastric Electrical Stimulation. Obes Surg 2016; 27:1573-1580. [DOI: 10.1007/s11695-016-2495-3] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
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11
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Hill BR, Rolls BJ, Roe LS, De Souza MJ, Williams NI. Ghrelin and peptide YY increase with weight loss during a 12-month intervention to reduce dietary energy density in obese women. Peptides 2013; 49:138-44. [PMID: 24076434 PMCID: PMC4218742 DOI: 10.1016/j.peptides.2013.09.009] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/08/2013] [Revised: 09/17/2013] [Accepted: 09/17/2013] [Indexed: 12/23/2022]
Abstract
Reducing dietary energy density (ED) promotes weight loss; however, underlying mechanisms are not well understood. The purpose of this study was to determine if low-ED diets facilitate weight loss through actions on ghrelin and peptide YY (PYY), independent of influences of psychosocial measures. Seventy-one obese women (BMI 30-40 kg/m(2)) ages 22-60 years received counseling to reduce ED. Fasting blood samples were analyzed for total ghrelin and total PYY by radioimmunoassay at months 0, 3, 6, and 12. Restraint, disinhibition, and hunger were assessed by the Eating Inventory. Body weight (-7.8 ± 0.5 kg), BMI (-2.9 ± 0.2 kg/m(2)), body fat (-3.0 ± 0.3%), and ED (-0.47 ± 0.05 kcal/g or -1.97 ± 0.21 kJ/g) decreased from months 0 to 6 (p<0.05) after which no change occurred from months 6 to 12. Ghrelin increased in a curvilinear fashion (month 0: 973 ± 39, month 3: 1024 ± 37, month 6: 1109 ± 44, and month 12: 1063 ± 45 pg/ml, p<0.001) and PYY increased linearly (month 0: 74.2 ± 3.1, month 3: 76.4 ± 3.2, month 6: 77.2 ± 3.0, month 12: 82.8 ± 3.2 pg/ml, p<0.001). ED, body weight, and hunger predicted ghrelin, with ED being the strongest predictor (ghrelin = 2674.8+291.6 × ED-19.2 × BW-15 × H; p<0.05). There was a trend toward a significant association between ED and PYY (PYY = 115.0-43.1 × ED; p = 0.05). Reductions in ED may promote weight loss and weight loss maintenance by opposing increases in ghrelin and promoting increases in PYY.
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Affiliation(s)
- Brenna R Hill
- Women's Health and Exercise Laboratory, Department of Kinesiology, Penn State University, University Park, PA 16802, United States.
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12
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Abstract
To understand the influence of food form on satiety, 19 male participants attended two separate test sessions to consume either a liquid-solid meal (LS), which consisted of whole pieces of vegetable in a broth, or a liquid version of the same ingredients [liquid meal (LM)]. Following this meal, appetite questionnaires and blood samples were collected at regular intervals over 3 h. An ad libitum meal was then served and the amount eaten recorded. Fullness and preoccupation with food were higher following the LM compared with the LS (p = 0.001 and p = 0.031, respectively). Postprandial plasma concentration of cholecystokinin (p < 0.001) and insulin (p < 0.001) was higher and plasma glucose concentration was lower (p = 0.003) following the LM compared with the LS. However, there was no difference in the food intake at the subsequent meal. These results suggest that food form has a limited effect on satiety; however, the influence of the postprandial insulin response warrants further attention.
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Affiliation(s)
- Yong Zhu
- Department of Food Science and Human Nutrition, Iowa State University, Ames, Iowa 50011, USA
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Stefater MA, Wilson-Pérez HE, Chambers AP, Sandoval DA, Seeley RJ. All bariatric surgeries are not created equal: insights from mechanistic comparisons. Endocr Rev 2012; 33:595-622. [PMID: 22550271 PMCID: PMC3410227 DOI: 10.1210/er.2011-1044] [Citation(s) in RCA: 230] [Impact Index Per Article: 17.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Despite considerable scientific progress on the biological systems that regulate energy balance, we have made precious little headway in providing new treatments to curb the obesity epidemic. Diet and exercise are the most popular treatment options for obesity, but rarely are they sufficient to produce long-term weight loss. Bariatric surgery, on the other hand, results in dramatic, sustained weight loss and for this reason has gained increasing popularity as a treatment modality for obesity. At least some surgical approaches also reduce obesity-related comorbidities including type 2 diabetes and hyperlipidemia. This success puts a premium on understanding how these surgeries exert their effects. This review focuses on the growing human and animal model literature addressing the underlying mechanisms. We compare three common procedures: Roux-en-Y Gastric Bypass (RYGB), vertical sleeve gastrectomy (VSG), and adjustable gastric banding (AGB). Although many would group together VSG and AGB as restrictive procedures of the stomach, VSG is more like RYGB than AGB in its effects on a host of endpoints including intake, food choice, glucose regulation, lipids and gut hormone secretion. Our strong belief is that to advance our understanding of these procedures, it is necessary to group bariatric procedures not on the basis of surgical similarity but rather on how they affect key physiological variables. This will allow for greater mechanistic insight into how bariatric surgery works, making it possible to help patients better choose the best possible procedure and to develop new therapeutic strategies that can help a larger portion of the obese population.
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Affiliation(s)
- Margaret A Stefater
- Metabolic Diseases Institute, Department of Internal Medicine, University of Cincinnati College of Medicine, Cincinnati, Ohio 45267, USA
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