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Bai J, Zhu H, Ran X, Qu H, He L, Zhao Y. The time-stamped effects of screen exposure on food intake in adults: A meta-analysis of experimental studies. Appetite 2025; 206:107846. [PMID: 39753153 DOI: 10.1016/j.appet.2024.107846] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2024] [Revised: 09/14/2024] [Accepted: 12/31/2024] [Indexed: 01/27/2025]
Abstract
OBJECTIVE The purpose of this study was to examine time-stamped impacts of screen exposure on food intake among healthy adults. METHODS Four electronic databases were searched up to August 31, 2024, including ProQuest, PubMed, Web of Science and Embase. A meta-analysis of inverse variance was used to calculate the standardized mean difference (SMD) in food intake between watching and not watching screen groups, and groups with different screen contents (e.g., food cues). RESULTS 23 experimental studies with 1894 participants were included. Watching screen (vs. not watching group, SMD: 0.16; 95% CI: 0.06, 0.26; I2 = 42%; p 0.01) significantly increased food intake, while the impact of the contents, including food cues, weight control cues and TV conditions, displayed on screens on food intake was not significantly different. Subgroup analysis revealed that food intake increased significantly with exposure to screens in females (SMD: 0.20; 95% CI: 0.04, 0.35; I2 = 25%; p = 0.01). CONCLUSION Adults especially females eat more while watching screen, whatever the screen content displayed on the screen. Given the influence of study designs, more within-subject studies with high quality were required to understand the intricate relationship between screen exposure and food intake, ultimately managing promoting healthier dietary habits.
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Affiliation(s)
- Jing Bai
- College of Physical Education and Sports, Beijing Normal University, Beijing, 100875, China.
| | - Hao Zhu
- College of Physical Education and Sports, Beijing Normal University, Beijing, 100875, China.
| | - Xiaowen Ran
- College of Physical Education and Sports, Beijing Normal University, Beijing, 100875, China.
| | - Haiyan Qu
- Department of Health Services Administration, School of Health Professions, University of Alabama at Birmingham, SHPB 580D, 1716 9th Avenue South, Birmingham, AL, 35294-1212, USA.
| | - Li He
- College of Physical Education and Sports, Beijing Normal University, Beijing, 100875, China.
| | - Yang Zhao
- Health Services & Systems Research, Duke-NUS Medical School, National University of Singapore, 169857 Singapore, Singapore.
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Malkki-Keinänen K, Lankinen M, Karhunen L, Schwab U. Psychometric evaluation of three-factor eating questionnaire -R18 in aging Finnish men with increased risk for type 2 diabetes. Nutr Health 2024; 30:279-290. [PMID: 35816365 PMCID: PMC11141102 DOI: 10.1177/02601060221112178] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND Deeper comprehension of eating-related behaviour (how and why people eat) can reveal new aspects to support health and prevent type 2 diabetes (T2D). However, such research is largely missing in aging men. AIM The aim was to investigate suitability of the Three-Factor Eating Questionnaire-R18 (TFEQ-R18) in Finnish aging men which is widely used to examine factors: cognitive restraint (CR), uncontrolled eating (UE), and emotional eating (EE). METHODS Study population consisted of 420 men aged 50-75, who completed the TFEQ-R18 at the baseline of the T2D-GENE lifestyle intervention study. Inclusion criteria were impaired fasting glucose (IFG) and body mass index ≥25 kg/m2. Confirmatory factor analysis was used to study psychometrics (reliability, validity, and model fit) and factor structure of TFEQ-R18. RESULTS The items loaded to the three factors (CR, UE, EE) as in previous studies, except two items at CR factor and one at UE factor, which were therefore omitted. UE was also discovered split into two sub factors (named as 'craving' and 'loss-of-control'), UE being a higher-order (h) factor. The resultant revised version was named as Three-Factor Eating Questionnaire Revised to 15-items with higher-order factor (TFEQ-R15h). CONCLUSION The original 18-item version of the TFEQ was not optimal in the population consisting of Finnish aging men with elevated T2D risk. A modified 15-item version of the TFEQ could be used to describe EB in this population instead.
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Affiliation(s)
- Katriina Malkki-Keinänen
- School of Medicine, Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Finland
| | - Maria Lankinen
- School of Medicine, Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Finland
| | - Leila Karhunen
- School of Medicine, Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Finland
| | - Ursula Schwab
- School of Medicine, Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Finland
- Department of Medicine, Endocrinology and Clinical Nutrition, Kuopio University Hospital, Finland
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Jakicic JM, Rogers RJ. Association of Eating Behaviors with Variability in Weight Change in Response to Physical Activity Interventions in Adults with Overweight. Nutrients 2023; 15:3452. [PMID: 37571388 PMCID: PMC10420991 DOI: 10.3390/nu15153452] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Revised: 07/28/2023] [Accepted: 08/02/2023] [Indexed: 08/13/2023] Open
Abstract
There is individual variability in weight change in response to physical activity interventions. Secondary analyses explored whether there were differences in physical activity, dietary intake, and the domains of hunger, dietary disinhibition, or dietary restraint in response to different physical activity interventions and by pattern of weight change across 6 months of an intervention. Participants (N = 207; age: 44.8 ± 8.2 years; body mass index: 27.0 ± 1.7 kg/m2) were included in these secondary analyses. Participants were randomly assigned to (1) a self-help physical activity intervention, (2) a prescription to progress to 150 min/week of physical activity, or (3) a prescription to progress to 300 min/week of physical activity and following 6 months were categorized based on weight change (weight gain, stability, or loss). Intervention conditions did not differ for change in weight, physical activity, dietary intake, and measures of hunger, dietary disinhibition, and total dietary restraint. Categories of weight change did not differ for change in physical activity or dietary intake, but the category of weight loss had significantly greater decreases in hunger and increases in flexible dietary restraint compared to the categories of weight stability and weight gain. The findings may provide insight into the variability in weight change in response to physical activity.
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Affiliation(s)
- John M. Jakicic
- Division of Physical Activity and Weight Management, Department of Internal Medicine, University of Kansas Medical Center, Kansas City, KS 66160, USA;
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Factors Affecting BMI Changes in Mothers during the First Year Postpartum. Nutrients 2023; 15:nu15061364. [PMID: 36986094 PMCID: PMC10051214 DOI: 10.3390/nu15061364] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Revised: 03/03/2023] [Accepted: 03/08/2023] [Indexed: 03/14/2023] Open
Abstract
We tested the hypotheses that mothers of infants who exclusively breastfed would differ in the trajectories of postpartum BMI changes than mothers of infants who exclusively formula fed, but such benefits would differ based on the maternal BMI status prepregnancy (primary hypothesis) and that psychological eating behavior traits would have independent effects on postpartum BMI changes (secondary hypothesis). To these aims, linear mixed-effects models analyzed measured anthropometric data collected monthly from 0.5 month (baseline) to 1 year postpartum from two groups of mothers distinct in infant feeding modality (Lactating vs. Non-lactating). While infant feeding modality group and prepregnancy BMI status had independent effects on postpartum BMI changes, the benefits of lactation on BMI changes differed based on prepregnancy BMI. When compared to lactating women, initial rates of BMI loss were significantly slower in the non-lactating women who were with Prepregnancy Healthy Weight (β = 0.63 percent BMI change, 95% CI: 0.19, 1.06) and with Prepregnancy Overweight (β = 2.10 percent BMI change, 95% CI: 1.16, 3.03); the difference was only a trend for those in the Prepregnancy Obesity group (β = 0.60 percent BMI change, 95% CI: −0.03, 1.23). For those with Prepregnancy Overweight, a greater percentage of non-lactating mothers (47%) gained ≥ 3 BMI units by 1 year postpartum than did lactating mothers (9%; p < 0.04). Psychological eating behavior traits of higher dietary restraint, higher disinhibition, and lower susceptibility to hunger were associated with greater BMI loss. In conclusion, while there are myriad advantages to lactation, including greater initial rates of postpartum weight loss regardless of prepregnancy BMI, mothers who were with overweight prior to the pregnancy experienced substantially greater loss if they breastfed their infants. Individual differences in psychological eating behavior traits hold promise as modifiable targets for postpartum weight management.
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Chang DC, Stinson EJ, Piaggi P, Krakoff J, Gluck ME. Disinhibition augments thirst perception from two dehydrating stimuli in men. Appetite 2023; 182:106429. [PMID: 36539161 PMCID: PMC9870948 DOI: 10.1016/j.appet.2022.106429] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Revised: 12/15/2022] [Accepted: 12/16/2022] [Indexed: 12/23/2022]
Abstract
Physiological systems controlling water and energy ingestion are coordinated. Whether maladaptive eating behavior and appetite for water are linked is unknown. Thus, we sought to investigate the association between maladaptive eating and both thirst and water drinking behavior with two dehydrating conditions. Twenty-two lean men and 20 men with obesity (mean age 32.3 ± 8.4 years and 30.0 ± 11.1 years, respectively) completed the Three-Factor Eating Questionnaire (TFEQ) and Gormally Binge Eating Scale. On separate days, volunteers were dehydrated by a 2-h hypertonic saline infusion and a 24-h water deprivation, and thirst was measured on a 100-mm visual analogue scale (VAS) during each procedure. After each dehydrating condition, ad libitum water intake was measured. In the saline infusion, higher Disinhibition on the TFEQ was associated with thirst in the lean group (β = 4.2 mm VAS, p = 0.03) but not in the group with obesity (p = 0.51). In the water-deprivation condition, higher Disinhibition was also associated with thirst in the lean group (β = 5.6 mm VAS, p = 0.01) with the strength of relationship being 3.5-fold stronger than that observed in the group with obesity (β = 1.6 mm VAS, p = 0.0003). Hunger, Restraint, and binge-eating scores were not associated with thirst in either dehydrating condition (all p > 0.05). Maladaptive eating behaviors were not associated with ad libitum water intake (all p > 0.05). Disinhibition is associated with higher thirst perception in healthy weight individuals and may be attenuated in obesity. The characteristics of disinhibition which typically includes a heightened readiness to eat, may reflect a more general phenotype that also reflects a readiness to drink.
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Affiliation(s)
- Douglas C Chang
- Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Phoenix, AZ, USA.
| | - Emma J Stinson
- Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Phoenix, AZ, USA
| | - Paolo Piaggi
- Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Phoenix, AZ, USA; Department of Information Engineering, University of Pisa, Pisa, Italy
| | - Jonathan Krakoff
- Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Phoenix, AZ, USA
| | - Marci E Gluck
- Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Phoenix, AZ, USA
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Examining reactivity to intensive longitudinal ecological momentary assessment: 12-month prospective study. Eat Weight Disord 2023; 28:26. [PMID: 36849665 PMCID: PMC9971140 DOI: 10.1007/s40519-023-01556-1] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/10/2022] [Accepted: 02/16/2023] [Indexed: 03/01/2023] Open
Abstract
PURPOSE To examine the association between intensive, longitudinal ecological momentary assessment (EMA) and self-reported eating behaviors. METHODS Secondary analysis of the EMPOWER study-a 12-month observational study that examined the microprocesses of relapse following intentional weight loss using smartphone-administered EMA-was conducted. Participants were asked to complete four types of EMA surveys using a mobile app. For this analysis, only the number of completed random EMA surveys was used. Using linear mixed-effects modeling, we analyzed whether the number of completed random EMA surveys was associated with changes in self-reported dietary restraint, dietary disinhibition, and susceptibility to hunger measured using the Three-Factor Eating Questionnaire (TFEQ). RESULTS During the 12-month study, 132 participants completed a mean of 1062 random EMA surveys (range: 673-1362). The median time it took for participants to complete random EMA surveys was 20 s and 90% of random EMA surveys were completed within 46 s. The number of completed random EMA surveys was not significantly associated with the TFEQ scores. CONCLUSIONS Intensive longitudinal EMA did not influence self-reported eating behaviors. The findings suggest that EMA can be used to frequently assess real-world eating behaviors with minimal concern about assessment reactivity. Nonetheless, care must be taken when designing EMA surveys-particularly when using self-reported outcome measures. LEVEL OF EVIDENCE Level III, prospective observational study.
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dos Santos Quaresma MVL, Marques CG, Magalhães ACO, Cirillo L, Ciudi RB, Oliveira LS, dos Santos RVT, Nakamoto FP. Prevalence of dietary supplement consumption among CrossFit practitioners. NUTRIRE : REVISTA DE SOCIEDADE BRASILEIRA DE ALIMENTACAO E NUTRICAO = JOURNAL OF THE BRAZILIAN SOCIETY OF FOOD AND NUTRITION 2023; 48:9. [PMID: 38625281 PMCID: PMC9924833 DOI: 10.1186/s41110-023-00193-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/20/2022] [Accepted: 02/02/2023] [Indexed: 02/15/2023]
Abstract
Purpose We aimed to verify the prevalence of dietary supplements among CrossFit practitioners (CFPs), considering gender and training status. Still, we aimed to determine the type, reasons, and associated factors of dietary supplement utilization among CFPs. Methods This is a cross-sectional, exploratory, and descriptive study with the snowball sampling method. Data were collected through online questionnaires using the Google Forms® tool. We included CFPs aged 18-64 years, from Aug 1, 2020, to Sept 31, 2020. The questionnaire contained questions to assess the prevalence, type, and reasons for supplement use; also, we assessed information about sociodemographic variables and the prevalence of the main chronic morbidities. To analyze aspects of eating behavior and sleep-related parameters, we applied the three-factor eating questionnaire (TFEQ)-R21 and the Pittsburgh Sleep Quality Index questionnaire (PSQI), respectively. Results We assessed one hundred twelve (n = 112; 57 men; 55 women) CFPs (28.9 ± 7.64 years old; body mass index (BMI), 25.5 ± 4.83 kg/m2). Eighty-seven (50 men; 37 women; 28.2 ± 6.66 years old; BMI, 25.4 ± 4.55 kg/m2) reported using dietary supplements. Whey protein was the most used supplement (n = 70), followed by creatine (n = 54). Cognitive restraint (a dimension of eating behavior) score was higher in supplement users than in non-users (51.7 ± 18.6 vs. 42.6 ± 20.5; p = 0.040). Sleep-related parameters did not differ between supplement users and non-users. The most associated factors to supplement use were sex (being man; OR, 7.99; p = 0.007), sleep quality (poor; OR, 5.27; p = 0.045), CrossFit level (as prescribed (RX); OR, 4.51; p = 0.031), and cognitive restraint (OR, 1.03; p = 0.029). Conclusion The CFPs, especially RX and Elite ones, showed a higher prevalence of supplement utilization. Anabolic-related supplements (i.e., whey protein and creatine) were the most used; moreover, several CFPs used supplements not supported by scientific evidence. Cognitive restraint score was higher in supplement users than in non-users. RX level, being men, and poor sleep quality were associated with supplement utilization. These data draw attention to the necessity of nutritional education for CrossFit coaches and athletes. Broader studies are necessary to confirm our findings.
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Affiliation(s)
| | | | - Ana Carolina Oumatu Magalhães
- Centro Universitário São Camilo, Curso de Nutrição, São Paulo, SP Brazil
- Departamento de Psicobiologia, Universidade Federal de São Paulo, São Paulo, SP Brazil
| | - Letícia Cirillo
- Centro Universitário São Camilo, Curso de Nutrição, São Paulo, SP Brazil
| | | | | | - Ronaldo Vagner Thomatieli dos Santos
- Departamento de Psicobiologia, Universidade Federal de São Paulo, São Paulo, SP Brazil
- Departamento de Biociências, Universidade Federal de São Paulo, Santos, SP Brazil
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Ni D, Smyth HE, Cozzolino D, Gidley MJ. Holistic approach to effects of foods, human physiology, and psychology on food intake and appetite (satiation & satiety). Crit Rev Food Sci Nutr 2022; 64:3702-3712. [PMID: 36259784 DOI: 10.1080/10408398.2022.2134840] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
Appetite (satiation and satiety) is an essential element for the control of eating behavior, and as a consequence human nutrition, body weight, and chronic disease risk. A better understanding of appetite mechanisms is necessary to modulate eating behavior and food intake, and also provide a practical approach for weight management. Although many researchers have investigated the relationships between satiation/satiety and specific factors including human physiology, psychology, and food characteristics, limited information on the interactions between factors or comparisons between the relative importance of factors in contributing to satiation/satiety have been reported. This article reviews progress and gaps in understanding individual attributes contributing to perceived satiation/satiety, the advantages of considering multiple factors together in appetite experiments, as well as the applications of nondestructive sensing in evaluating human factors contributing to relative appetite perception. The approaches proposed position characterization of appetite (satiation and satiety) for personalized and precision nutrition in relation to human status and healthy diets. In particular, it is recommended that future studies of appetite perception recognize the inter-dependence of food type and intake, appetite (satiation and satiety), and individual status.
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Affiliation(s)
- Dongdong Ni
- Centre for Nutrition and Food Sciences, Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, Brisbane, Queensland, Australia
| | - Heather E Smyth
- Centre for Nutrition and Food Sciences, Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, Brisbane, Queensland, Australia
| | - Daniel Cozzolino
- Centre for Nutrition and Food Sciences, Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, Brisbane, Queensland, Australia
| | - Michael J Gidley
- Centre for Nutrition and Food Sciences, Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, Brisbane, Queensland, Australia
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Booker JM, Chang DC, Stinson EJ, Mitchell CM, Votruba SB, Krakoff J, Gluck ME, Cabeza de Baca T. Food insecurity is associated with higher respiratory quotient and lower glucagon-like peptide 1. Obesity (Silver Spring) 2022; 30:1248-1256. [PMID: 35674698 DOI: 10.1002/oby.23437] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Revised: 03/01/2022] [Accepted: 03/02/2022] [Indexed: 11/06/2022]
Abstract
OBJECTIVE Food insecurity is known to be associated with obesity, but its association with physiological measures is unclear. Therefore, it was hypothesized that, compared with food-secure individuals, those with food insecurity would have higher 24-hour energy expenditure (EE [kilocalories per day]) and 24-hour respiratory quotient (RQ [ratio]). Subsequently, hormones involved in appetite regulation, substrate oxidation, and EE were explored. METHODS A total of 113 healthy participants without diabetes (75 men; mean [SD], age 40 [12] years; BMI 30 [8] kg/m2 ) were included in this analysis. Participants completed the Food Security Short Form, underwent a dual-energy x-ray absorptiometry scan, and spent 24 hours in a human respiratory chamber following a weight-maintaining diet. RESULTS Compared with individuals with food security, participants with food insecurity had no difference in 24-hour EE. However, they had higher carbohydrate oxidation rates (p = 0.03) and lower lipid oxidation rates (p = 0.02), resulting in higher 24-hour RQ (p < 0.01). They also had lower fasting glucagon-like peptide 1 (p = 0.03) concentrations. CONCLUSIONS Food insecurity is associated with higher 24-hour RQ and lower fasting glucagon-like peptide 1 concentrations, metabolic and hormonal differences previously shown to drive greater calorie intake in the setting of unrestricted food availability. These findings therefore provide new insight into the paradoxical link between restricted food access and increased adiposity.
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Affiliation(s)
- Jetaun M Booker
- Department of Health and Human Services, Obesity and Diabetes Clinical Research Section, Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Phoenix, Arizona, USA
| | - Douglas C Chang
- Department of Health and Human Services, Obesity and Diabetes Clinical Research Section, Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Phoenix, Arizona, USA
| | - Emma J Stinson
- Department of Health and Human Services, Obesity and Diabetes Clinical Research Section, Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Phoenix, Arizona, USA
| | - Cassie M Mitchell
- Department of Health and Human Services, Obesity and Diabetes Clinical Research Section, Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Phoenix, Arizona, USA
| | - Susanne B Votruba
- Department of Health and Human Services, Obesity and Diabetes Clinical Research Section, Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Phoenix, Arizona, USA
| | - Jonathan Krakoff
- Department of Health and Human Services, Obesity and Diabetes Clinical Research Section, Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Phoenix, Arizona, USA
| | - Marci E Gluck
- Department of Health and Human Services, Obesity and Diabetes Clinical Research Section, Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Phoenix, Arizona, USA
| | - Tomás Cabeza de Baca
- Department of Health and Human Services, Obesity and Diabetes Clinical Research Section, Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Phoenix, Arizona, USA
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Vindas-Smith R, Quesada D, Hernández-Solano MI, Castro M, Sequeira-Cordero A, Fornaguera J, Gómez G, Brenes JC. Fat intake and obesity-related parameters predict striatal BDNF gene expression and dopamine metabolite levels in cafeteria diet-fed rats. Neuroscience 2022; 491:225-239. [DOI: 10.1016/j.neuroscience.2022.03.042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2021] [Revised: 03/08/2022] [Accepted: 03/31/2022] [Indexed: 10/18/2022]
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Piaggi P, Basolo A, Martin CK, Redman LM, Votruba SB, Krakoff J. The counterbalancing effects of energy expenditure on body weight regulation: Orexigenic versus energy-consuming mechanisms. Obesity (Silver Spring) 2022; 30:639-644. [PMID: 35166035 PMCID: PMC9303538 DOI: 10.1002/oby.23332] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/14/2021] [Revised: 09/23/2021] [Accepted: 10/14/2021] [Indexed: 12/18/2022]
Abstract
OBJECTIVE Weight change is a dynamic function of whole-body energy balance resulting from the interplay between energy intake and energy expenditure (EE). Recent reports have provided evidence for the existence of a causal effect of EE on energy intake, suggesting that increased EE may drive overeating, thereby promoting future weight gain. This study investigated the relationships between ad libitum energy intake and 24-hour EE (24-h EE) in sedentary conditions versus long-term, free-living weight change using a mediation analysis framework. METHODS Native American individuals (n = 61, body fat by dual-energy x-ray absorptiometry: 39.7% [SD 9.5%]) were admitted to the clinical inpatient unit and had baseline measurements as follows: 1) 24-h EE accurately measured in a whole-room indirect calorimeter during energy balance and weight stability; and 2) ad libitum energy intake objectively assessed for 3 days using computerized vending machines. Free-living weight change was assessed after a median follow-up time of 1.7 years (interquartile range: 1.2-2.9). RESULTS The total effect of 24-h EE on weight change (-0.23 kg per 100-kcal/d difference in EE at baseline) could be partitioned into the following two independent and counterbalanced effects: higher EE protective against weight gain (-0.46 kg per 100-kcal/d difference in EE at baseline) and an orexigenic effect promoting overeating, thereby favoring weight gain (+0.23 kg per 100-kcal/d difference in EE at baseline). CONCLUSIONS The overall impact of EE on body weight regulation should be evaluated by also considering its collateral effect on energy intake. Any weight loss intervention aimed to induce energy deficits by increasing EE should take into account any potential orexigenic effects that promote compensatory overeating, thereby limiting the efficacy of these obesity therapies.
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Affiliation(s)
- Paolo Piaggi
- Obesity and Diabetes Clinical Research SectionNational Institute of Diabetes and Digestive and Kidney DiseasesNational Institutes of HealthPhoenixArizonaUSA
- Department of Information EngineeringUniversity of PisaPisaItaly
| | - Alessio Basolo
- Obesity and Diabetes Clinical Research SectionNational Institute of Diabetes and Digestive and Kidney DiseasesNational Institutes of HealthPhoenixArizonaUSA
| | - Corby K. Martin
- Pennington Biomedical Research CenterBaton RougeLouisianaUSA
| | | | - Susanne B. Votruba
- Obesity and Diabetes Clinical Research SectionNational Institute of Diabetes and Digestive and Kidney DiseasesNational Institutes of HealthPhoenixArizonaUSA
| | - Jonathan Krakoff
- Obesity and Diabetes Clinical Research SectionNational Institute of Diabetes and Digestive and Kidney DiseasesNational Institutes of HealthPhoenixArizonaUSA
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Du C, Adjepong M, Zan MCH, Cho MJ, Fenton JI, Hsiao PY, Keaver L, Lee H, Ludy MJ, Shen W, Swee WCS, Thrivikraman J, Amoah-Agyei F, de Kanter E, Wang W, Tucker RM. Gender Differences in the Relationships between Perceived Stress, Eating Behaviors, Sleep, Dietary Risk, and Body Mass Index. Nutrients 2022; 14:1045. [PMID: 35268020 PMCID: PMC8912409 DOI: 10.3390/nu14051045] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2022] [Revised: 02/22/2022] [Accepted: 02/26/2022] [Indexed: 02/01/2023] Open
Abstract
BACKGROUND Obesity is a growing epidemic among university students, and the high levels of stress reported by this population could contribute to this issue. Singular relationships between perceived stress; engagement in restrained, uncontrolled, and emotional eating; sleep; dietary risk; and body mass index (BMI) have been reported in the current body of literature; however, these constructs interact with each other, and the complex relationships among them are infrequently examined. Therefore, the aim of the present study was to explore the complex relationships between these constructs using mediation and moderation analyses stratified by gender. METHODS A cross-sectional study, enrolling university students from the United States (U.S.), the Netherlands, South Korea, Malaysia, Ireland, Ghana, and China, was conducted between October 2020 and January 2021 during the COVID-19 pandemic. Perceived stress; maladaptive eating behaviors including restrained, uncontrolled, and emotional eating; sleep duration and quality; dietary risk; and BMI were assessed using validated questionnaires, which were distributed through an online platform. RESULTS A total of 1392 students completed the online survey (379 male, 973 female, and 40 who self-identified as "other"). Uncontrolled and emotional eating mediated the relationship between perceived stress and dietary risk for both males and females; higher sleep quality weakened this relationship among female students but not males. Emotional eating mediated the relationship between perceived stress and BMI for both males and females, but higher sleep quality weakened this relationship only among females. CONCLUSIONS Our findings suggest that students in higher education are likely to benefit from interventions to reduce uncontrolled and emotional eating. Programs that improve sleep quality, especially during highly stressful periods, may be helpful.
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Affiliation(s)
- Chen Du
- Department of Food Science and Human Nutrition, Michigan State University, East Lansing, MI 48824, USA; (C.D.); (J.I.F.); (W.W.)
| | - Mary Adjepong
- Department of Biochemistry, Kwame Nkrumah University of Science and Technology, Kumasi 00233, Ghana; (M.A.); (F.A.-A.)
| | - Megan Chong Hueh Zan
- Division of Nutrition and Dietetics, International Medical University, Kuala Lumpur 57000, Malaysia; (M.C.H.Z.); (W.C.S.S.)
| | - Min Jung Cho
- Global Public Health, Leiden University College, 2595 DG The Hague, The Netherlands; (M.J.C.); (J.T.); (E.d.K.)
| | - Jenifer I. Fenton
- Department of Food Science and Human Nutrition, Michigan State University, East Lansing, MI 48824, USA; (C.D.); (J.I.F.); (W.W.)
| | - Pao Ying Hsiao
- Department of Food and Nutrition, Indiana University of Pennsylvania, Indiana, PA 15705, USA;
| | - Laura Keaver
- Department of Health and Nutritional Science, Institute of Technology Sligo, F91 YW50 Sligo, Ireland;
| | - Heesoon Lee
- Department of Human Services, Bowling Green State University, Bowling Green, OH 43403, USA;
| | - Mary-Jon Ludy
- Department of Public and Allied Health, Bowling Green State University, Bowling Green, OH 43403, USA; (M.-J.L.); (W.S.)
| | - Wan Shen
- Department of Public and Allied Health, Bowling Green State University, Bowling Green, OH 43403, USA; (M.-J.L.); (W.S.)
| | - Winnie Chee Siew Swee
- Division of Nutrition and Dietetics, International Medical University, Kuala Lumpur 57000, Malaysia; (M.C.H.Z.); (W.C.S.S.)
| | - Jyothi Thrivikraman
- Global Public Health, Leiden University College, 2595 DG The Hague, The Netherlands; (M.J.C.); (J.T.); (E.d.K.)
| | - Felicity Amoah-Agyei
- Department of Biochemistry, Kwame Nkrumah University of Science and Technology, Kumasi 00233, Ghana; (M.A.); (F.A.-A.)
| | - Emilie de Kanter
- Global Public Health, Leiden University College, 2595 DG The Hague, The Netherlands; (M.J.C.); (J.T.); (E.d.K.)
| | - Wenyan Wang
- Department of Food Science and Human Nutrition, Michigan State University, East Lansing, MI 48824, USA; (C.D.); (J.I.F.); (W.W.)
| | - Robin M. Tucker
- Department of Food Science and Human Nutrition, Michigan State University, East Lansing, MI 48824, USA; (C.D.); (J.I.F.); (W.W.)
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13
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Negative Affect and Maladaptive Eating Behavior as a Regulation Strategy in Normal-Weight Individuals: A Narrative Review. SUSTAINABILITY 2021. [DOI: 10.3390/su132413704] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
Emotions have a powerful influence on eating behavior, and eating behavior can have a powerful effect on emotions. The objective of the present narrative review was to evaluate the relationship between negative affect and maladaptive eating behavior as a regulation strategy in normal-weight individuals. A search of the literature within PubMed®, MEDLINE® and PsycINFO was conducted using a combination of the following terms: “affect”, “negative affect”, “affect regulation” and “maladaptive eating behavior”. A total of 106 papers were identified for full text review and were included in the final set of literature. The manuscript presents an overview of the literature on negative affect and maladaptive eating behavior. It offers a brief overview of restrained, uncontrolled and emotional eating in normal-weight individuals and looks at maladaptive eating behavior used to regulate their affect. Based on the previous research findings, we argue that using more adaptive strategies for emotion regulation (cognitive reappraisal) might result in downregulating integral negative affect to food and in improving eating behavior.
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Energy Balance and Control of Body Weight: Possible Effects of Meal Timing and Circadian Rhythm Dysregulation. Nutrients 2021; 13:nu13093276. [PMID: 34579152 PMCID: PMC8470941 DOI: 10.3390/nu13093276] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2021] [Revised: 09/07/2021] [Accepted: 09/16/2021] [Indexed: 12/12/2022] Open
Abstract
Conservation of the energy equilibrium can be considered a dynamic process and variations of one component (energy intake or energy expenditure) cause biological and/or behavioral compensatory changes in the other part of the system. The interplay between energy demand and caloric intake appears designed to guarantee an adequate food supply in variable life contexts. The circadian rhythm plays a major role in systemic homeostasis by acting as “timekeeper” of the human body, under the control of central and peripheral clocks that regulate many physiological functions such as sleep, hunger and body temperature. Clock-associated biological processes anticipate the daily demands imposed by the environment, being synchronized under ideal physiologic conditions. Factors that interfere with the expected demand, including daily distribution of macronutrients, physical activity and light exposure, may disrupt the physiologic harmony between predicted and actual behavior. Such a desynchronization may favor the development of a wide range of disease-related processes, including obesity and its comorbidities. Evidence has been provided that the main components of 24-h EE may be affected by disruption of the circadian rhythm. The sleep pattern, meal timing and meal composition could mediate these effects. An increased understanding of the crosstalk between disruption of the circadian rhythm and energy balance may shed light on the pathophysiologic mechanisms underlying weight gain, which may eventually lead to design effective strategies to fight the obesity pandemic.
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Waliłko J, Bronowicka P, He J, Brytek-Matera A. Dieting and Disinhibited Eating Patterns in Adult Women with Normal Body Weight: Does Rumination Matter? Nutrients 2021; 13:2475. [PMID: 34371984 PMCID: PMC8308631 DOI: 10.3390/nu13072475] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2021] [Revised: 07/17/2021] [Accepted: 07/17/2021] [Indexed: 11/17/2022] Open
Abstract
Dieting and disinhibited eating patterns are presented in both clinical and nonclinical samples. Repetitive negative thinking (i.e., rumination) may lead to maladaptive eating behaviors. While numerous studies have focused on dieting and disinhibited eating behaviors in clinical samples, less is known about these behaviors in nonclinical samples with normal body weight. Therefore, the present study aimed to explore how dieting, uncontrolled eating and emotional eating are related to rumination in adult women with normal body weight. One hundred eighty-eight women (Mage = 29.46 ± 8.94; MBMI = 23.16 ± 4.04) were involved in the current study. The Eating Attitudes Test, the Three-Factor Eating Questionnaire-R18 and the Perseverative Thinking Questionnaire were administered to the participants. The results showed that repetitive negative thinking was a partial mediator in the relationship between dieting and uncontrolled eating, as well as in the relationship between dieting and emotional eating. Targeting repetitive negative thinking may be important for reducing disinhibited eating patterns in women with normal body weight.
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Affiliation(s)
- Justyna Waliłko
- Institute of Psychology, University of Wroclaw, 50-527 Wroclaw, Poland; (J.W.); (P.B.)
| | - Paulina Bronowicka
- Institute of Psychology, University of Wroclaw, 50-527 Wroclaw, Poland; (J.W.); (P.B.)
| | - Jinbo He
- School of Humanities and Social Science, The Chinese University of Hong Kong, Shenzhen 518172, China;
| | - Anna Brytek-Matera
- Faculty of Psychology in Katowice, SWPS University of Social Sciences and Humanities, 40-326 Katowice, Poland
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16
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Hollstein T, Basolo A, Ando T, Krakoff J, Piaggi P. Reduced adaptive thermogenesis during acute protein-imbalanced overfeeding is a metabolic hallmark of the human thrifty phenotype. Am J Clin Nutr 2021; 114:1396-1407. [PMID: 34225360 PMCID: PMC8488870 DOI: 10.1093/ajcn/nqab209] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2021] [Accepted: 06/03/2021] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND The human thrifty phenotype is characterized by a greater decrease in 24-h energy expenditure (24EE) during fasting due to relatively higher eucaloric 24EE in sedentary conditions, both of which are indicative of greater propensity to weight gain. Thriftiness is also associated with a smaller increase in 24EE (i.e., reduced adaptive thermogenesis) during overfeeding. OBJECTIVES We investigated whether short-term measures of adaptive thermogenesis during overfeeding with low/normal/high protein content characterize thriftiness. METHODS In this secondary cross-sectional analysis of a single-arm crossover study, 24EE was measured using whole-room indirect calorimetry during energy balance, fasting, and different overfeeding conditions (low/3% protein, high/30% protein, and 3 normal/20% protein diets) with 200% of eucaloric requirements in 77 healthy individuals [63 men; BMI (in kg/m2): 26.4 ± 4.3; body fat by DXA: 27.7% ± 9.4%, mean ± SD] with normal glucose regulation. Relations between the 24EE during energy balance (adjusted for body composition) and 24EE during each overfeeding diet were analyzed using separate linear regression models. Participants were arbitrarily categorized as thrifty/spendthrift based on the median value (-177 kcal/d) of the difference in 24EE between fasting and energy balance conditions. RESULTS Differences in 24EE during low/high-protein overfeeding diets (regression line slope = 0.76 and 0.68, respectively, both P < 0.05 compared with slope = 1) but not during the normal-protein overfeeding diets (all P > 0.05 compared with slope = 1) were dependent on baseline 24EE during energy balance. Specifically, individuals with higher eucaloric 24EE (thriftier phenotype) showed smaller increases in 24EE during protein-imbalanced overfeeding. Analyzed by group, thrifty individuals had smaller increases in 24EE by 42 and 237 kcal/d during low- and high-protein overfeeding, respectively, compared with spendthrift individuals who showed greater increases in 24EE by 100 and 302 kcal/d (P ≤ 0.03 compared with thrifty group). CONCLUSIONS During acute overfeeding conditions with low/high-protein content, thrifty participants have limited capacity to increase 24EE, indicating that impaired adaptive thermogenesis during protein-imbalanced diets further characterizes the thrifty phenotype and its susceptibility to weight gain. This trial was registered at clinicalTrials.gov as NCT00523627.
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Affiliation(s)
- Tim Hollstein
- Obesity and Diabetes Clinical Research Section, Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, Phoenix, AZ, USA,Division of Endocrinology, Diabetology and Clinical Nutrition, Department of Internal Medicine 1, University of Kiel, Kiel, Germany,Institute of Diabetes and Clinical Metabolic Research, Kiel, Germany
| | - Alessio Basolo
- Obesity and Diabetes Clinical Research Section, Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, Phoenix, AZ, USA
| | - Takafumi Ando
- Obesity and Diabetes Clinical Research Section, Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, Phoenix, AZ, USA,Human Behavior Research Team, Human-Centered Mobility Research Center, Information Technology and Human Factors, National Institute of Advanced Industrial Science and Technology, Tsukuba, Japan
| | - Jonathan Krakoff
- Obesity and Diabetes Clinical Research Section, Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, Phoenix, AZ, USA
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17
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Adam TC, Drummen M, Macdonald I, Jalo E, Siig-Vestentoft P, Martinez JA, Handjiev-Darlenska T, Brand-Miller J, Poppitt S, Stratton G, Fogelholm M, Pietiläinen KH, Taylor M, Navas-Carretero S, Winkens B, Handjiev S, Muirhead R, Silvestre M, Swindell N, Huttunen-Lenz M, Schlicht W, Lam T, Sundvall J, Råman L, Feskens E, Larssen TM, Tremblay A, Raben A, Westerterp-Plantenga M. Association of Psychobehavioral Variables With HOMA-IR and BMI Differs for Men and Women With Prediabetes in the PREVIEW Lifestyle Intervention. Diabetes Care 2021; 44:1491-1498. [PMID: 34088702 DOI: 10.2337/dc21-0059] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/11/2021] [Accepted: 04/22/2021] [Indexed: 02/03/2023]
Abstract
OBJECTIVE Stress, sleep, eating behavior, and physical activity are associated with weight change and insulin resistance (IR). The aim of this analysis was the assessment of the overall and sex-specific associations of psychobehavioral variables throughout the 3-year PREVIEW intervention using the homeostatic model assessment of IR (HOMA-IR), BMI, and length of time in the study. RESEARCH DESIGN AND METHODS Associations of psychobehavioral variables, including stress, mood, eating behavior, physical activity (PA), and sleep, with BMI, HOMA-IR, and time spent in the study were assessed in 2,184 participants with prediabetes and overweight/obesity (n = 706 men; n = 1,478 women) during a 3-year lifestyle intervention using linear mixed modeling and general linear modeling. The study was a randomized multicenter trial using a 2 × 2 diet-by-PA design. RESULTS Overall, cognitive restraint and PA increased during the intervention compared with baseline, whereas BMI, HOMA-IR, disinhibition, hunger, and sleepiness decreased (all P < 0.05). Cognitive restraint and PA were negatively, whereas disinhibition, hunger, stress, and total mood disturbance were positively, associated with both BMI and HOMA-IR. Sleep duration, low sleep quality, total mood disturbance, disinhibition, and hunger scores were positively associated with HOMA-IR for men only. Participants who dropped out at 6 months had higher stress and total mood disturbance scores at baseline and throughout their time spent in the study compared with study completers. CONCLUSIONS Eating behavior and PA, control of stress, mood disturbance, and sleep characteristics were associated with BMI, HOMA-IR, and time spent in the study, with different effects in men and women during the PREVIEW lifestyle intervention study.
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Affiliation(s)
- Tanja C Adam
- Department of Nutrition and Movement Sciences, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University, Maastricht, the Netherlands
| | - Mathijs Drummen
- Department of Nutrition and Movement Sciences, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University, Maastricht, the Netherlands
| | - Ian Macdonald
- Medical Research Council/Arthritis Research UK (ARUK) Centre for Musculoskeletal Ageing Research, ARUK Centre for Sport, Exercise and Osteoarthritis, University of Nottingham, Nottingham, U.K.,National Institute for Health Research Nottingham Biomedical Research Centre, Division of Physiology, Pharmacology and Neuroscience, School of Life Sciences, Queen's Medical Centre, Nottingham, U.K
| | - Elli Jalo
- Department of Food and Nutrition, University of Helsinki, Helsinki, Finland
| | - Pia Siig-Vestentoft
- Department of Nutrition, Exercise and Sports, Faculty of Science, University of Copenhagen, Copenhagen, Denmark
| | - J Alfredo Martinez
- Centre for Nutrition Research, University of Navarra, Pamplona, Spain.,Centro de Investigacion Biomedica en Red Area de Fisiologia de la Obesidad y la Nutricion, Madrid, Spain.,IdisNA Instituto for Health Research, Pamplona, Spain.,Precision Nutrition and Cardiometabolic Health Program, IMDEA Food Institute, Madrid Institute for Advanced Studies, Campus of International Excellence Universidad Autonoma de Madrid and Spanish National Research Council, Madrid, Spain
| | | | - Jennie Brand-Miller
- School of Life and Environmental Sciences and Charles Perkins Centre, University of Sydney, Sydney, Australia
| | - Sally Poppitt
- Human Nutrition Unit, School of Biological Sciences, Department of Medicine, University of Auckland, Auckland, New Zealand
| | - Gareth Stratton
- Applied Sports Technology, Exercise and Medicine Research Centre, College of Engineering, Swansea University, Swansea, U.K
| | - Mikael Fogelholm
- Department of Food and Nutrition, University of Helsinki, Helsinki, Finland
| | - Kirsi H Pietiläinen
- Obesity Research Unit, Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland.,Obesity Center, Abdominal Center, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
| | - Moira Taylor
- Medical Research Council/Arthritis Research UK (ARUK) Centre for Musculoskeletal Ageing Research, ARUK Centre for Sport, Exercise and Osteoarthritis, University of Nottingham, Nottingham, U.K.,National Institute for Health Research Nottingham Biomedical Research Centre, Division of Physiology, Pharmacology and Neuroscience, School of Life Sciences, Queen's Medical Centre, Nottingham, U.K
| | - Santiago Navas-Carretero
- Centre for Nutrition Research, University of Navarra, Pamplona, Spain.,Centro de Investigacion Biomedica en Red Area de Fisiologia de la Obesidad y la Nutricion, Madrid, Spain.,IdisNA Instituto for Health Research, Pamplona, Spain
| | - Bjorn Winkens
- Department of Methodology and Statistics, Care and Public Health Research Institute, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Svetoslav Handjiev
- Department of Pharmacology and Toxicology, Medical University of Sofia, Sofia, Bulgaria
| | - Roslyn Muirhead
- School of Life and Environmental Sciences and Charles Perkins Centre, University of Sydney, Sydney, Australia
| | - Marta Silvestre
- Human Nutrition Unit, School of Biological Sciences, Department of Medicine, University of Auckland, Auckland, New Zealand.,Centro de Investigação em Tecnologias e Serviços de Saúde, NOVA Medical School, NOVA University of Lisbon, Lisbon, Portugal
| | - Nils Swindell
- Applied Sports Technology, Exercise and Medicine Research Centre, College of Engineering, Swansea University, Swansea, U.K
| | - Maija Huttunen-Lenz
- Exercise and Health Sciences, University of Stuttgart, Stuttgart, Germany.,Institute of Nursing Science, University of Education Schwäbisch Gmünd, Schwäbisch Gmünd, Germany
| | - Wolfgang Schlicht
- Exercise and Health Sciences, University of Stuttgart, Stuttgart, Germany
| | | | - Jouko Sundvall
- Biochemistry Laboratory, Forensic Toxicology Unit, Department of Government Services, National Institute for Health and Welfare, Helsinki, Finland
| | - Laura Råman
- Biochemistry Laboratory, Forensic Toxicology Unit, Department of Government Services, National Institute for Health and Welfare, Helsinki, Finland
| | - Edith Feskens
- Division of Human Nutrition and Health, Wageningen University & Research, Wageningen, the Netherlands
| | - Thomas-Meinert Larssen
- Department of Nutrition, Exercise and Sports, Faculty of Science, University of Copenhagen, Copenhagen, Denmark
| | - Angelo Tremblay
- Department of Kinesiology, Laval University, Quebec City, Canada
| | - Anne Raben
- Department of Nutrition, Exercise and Sports, Faculty of Science, University of Copenhagen, Copenhagen, Denmark.,Steno Diabetes Center Copenhagen, Copenhagen, Denmark
| | - Margriet Westerterp-Plantenga
- Department of Nutrition and Movement Sciences, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University, Maastricht, the Netherlands
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18
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Dewhurst-Trigg R, Wadley AJ, Woods RM, Sherar LB, Bishop NC, Hulston CJ, Markey O. Short-term High-fat Overfeeding Does Not Induce NF-κB Inflammatory Signaling in Subcutaneous White Adipose Tissue. J Clin Endocrinol Metab 2020; 105:5813979. [PMID: 32232380 DOI: 10.1210/clinem/dgaa158] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/30/2019] [Accepted: 03/27/2020] [Indexed: 12/22/2022]
Abstract
CONTEXT It is unclear how white adipose tissue (WAT) inflammatory signaling proteins respond during the early stages of overnutrition. OBJECTIVE To investigate the effect of short-term, high-fat overfeeding on fasting abdominal subcutaneous WAT total content and phosphorylation of proteins involved in nuclear factor-κB (NF-κB) inflammatory signaling, systemic metabolic and inflammatory biomarkers. DESIGN Individuals consumed a high-fat (65% total energy from total fat), high-energy (50% above estimated energy requirements) diet for 7 days. RESULTS Fifteen participants (aged 27 ± 1 years; body mass index 24.4 ± 0.6 kg/m2) completed the study. Body mass increased following high-fat overfeeding (+1.2 ± 0.2 kg; P < 0.0001). However, total content and phosphorylation of proteins involved in NF-κB inflammatory signaling were unchanged following the intervention. Fasting serum glucose (+0.2 ± 0.0 mmol/L), total cholesterol (+0.4 ± 0.1 mmol/L), low-density lipoprotein cholesterol (+0.3 ± 0.1 mmol/L), high-density lipoprotein cholesterol (+0.2 ± 0.0 mmol/L), and lipopolysaccharide-binding protein (LBP; +4.7 ± 2.1 µg/mL) increased, whereas triacylglycerol concentrations (-0.2 ± 0.1 mmol/L) decreased following overfeeding (all P < 0.05). Systemic biomarkers (insulin, soluble cluster of differentiation 14 [CD14], C-reactive protein, interleukin-6, tumor necrosis factor-α and monocyte chemoattractant protein-1) and the proportion and concentration of circulating CD14+ monocytes were unaffected by overfeeding. CONCLUSION Acute lipid oversupply did not impact on total content or phosphorylation of proteins involved in WAT NF-κB inflammatory signaling, despite modest weight gain and metabolic alterations. Systemic LBP, which is implicated in the progression of low-grade inflammation during the development of obesity, increased in response to a 7-day high-fat overfeeding period.
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Affiliation(s)
- Rebecca Dewhurst-Trigg
- School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, UK
| | - Alex J Wadley
- School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, UK
| | - Rachel M Woods
- School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, UK
| | - Lauren B Sherar
- School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, UK
| | - Nicolette C Bishop
- School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, UK
| | - Carl J Hulston
- School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, UK
| | - Oonagh Markey
- School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, UK
- Hugh Sinclair Unit of Human Nutrition, Department of Food and Nutritional Sciences, University of Reading, Reading, UK
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19
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Hollstein T, Basolo A, Ando T, Votruba SB, Walter M, Krakoff J, Piaggi P. Recharacterizing the Metabolic State of Energy Balance in Thrifty and Spendthrift Phenotypes. J Clin Endocrinol Metab 2020; 105:5771299. [PMID: 32118268 PMCID: PMC7341172 DOI: 10.1210/clinem/dgaa098] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/22/2019] [Accepted: 02/26/2020] [Indexed: 01/20/2023]
Abstract
PURPOSE The human thrifty phenotype hypothesis presupposes that lower 24-hour (24h) energy expenditure (24EE) during famine preserves body mass and promotes survival. The prevailing view defines thrifty individuals as having a lower 24EE during fasting. However, it is also plausible that the greater decline in 24EE during fasting in thrifty individuals is due to higher 24EE during energy balance conditions (ENBAL). Herein, we provide evidence that this is indeed the case. METHODS In 108 healthy subjects, 24EE was measured in a whole-room indirect calorimeter both during ENBAL and 24h fasting conditions. Subjects were categorized as thrifty or spendthrift based on the median value (-162 kcal/day) of the difference in 24EE (adjusted for body composition) between fasting and ENBAL conditions. Concomitant 24h urinary catecholamines were assessed by liquid chromatography-mass spectrometry. RESULTS Compared to ENBAL, 24EE decreased during 24h fasting by 172 kcal/day (standard deviation = 93; range, -470 to 122). A greater-than-median decrease in 24EE ("thriftier" phenotype) was due to higher 24EE during ENBAL (+124 kcal/day; P < 0.0001) but not to lower 24EE during fasting (P = 0.35). Greater fasting-induced increase in epinephrine was associated with concomitant lower decrease in 24EE (r = 0.27; P = 0.006). MAIN CONCLUSION The greater decrease in 24EE during acute fasting (which characterizes the thrifty phenotype) is not due to reduced metabolic rate during fasting but to a relatively higher 24EE during feeding conditions, and this decrease in 24EE during fasting is accompanied by a smaller increase in epinephrine. These results recharacterize the prevailing view of the short-term 24EE responses that define the human metabolic phenotypes. Clinical Trials: NCT00523627, NCT00687115, NCT02939404.
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Affiliation(s)
- Tim Hollstein
- Obesity and Diabetes Clinical Research Section, Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, Phoenix, Arizona
| | - Alessio Basolo
- Obesity and Diabetes Clinical Research Section, Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, Phoenix, Arizona
| | - Takafumi Ando
- Obesity and Diabetes Clinical Research Section, Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, Phoenix, Arizona
| | - Susanne B Votruba
- Obesity and Diabetes Clinical Research Section, Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, Phoenix, Arizona
| | - Mary Walter
- Clinical Core Laboratory, National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, Maryland
| | - Jonathan Krakoff
- Obesity and Diabetes Clinical Research Section, Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, Phoenix, Arizona
| | - Paolo Piaggi
- Obesity and Diabetes Clinical Research Section, Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, Phoenix, Arizona
- Department of Information Engineering, University of Pisa, Pisa, Italy
- Correspondence and Reprint Rerquests: Paolo Piaggi, PhD, FTOS, Obesity and Diabetes Clinical Research Section, National Institute of Diabetes and Digestive and Kidney Diseases, 4212 N 16th Street, Phoenix, AZ 85016. E-mail: ,
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20
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Basolo A, Ando T, Hollstein T, Votruba SB, Krakoff J, Piaggi P. Higher Urinary Dopamine Concentration is Associated with Greater Ad Libitum Energy Intake in Humans. Obesity (Silver Spring) 2020; 28:953-961. [PMID: 32289874 PMCID: PMC7180122 DOI: 10.1002/oby.22781] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/20/2019] [Revised: 02/17/2020] [Accepted: 02/18/2020] [Indexed: 12/13/2022]
Abstract
OBJECTIVE This study aimed to assess the relationship between dopamine, a neurotransmitter involved in feeding behavior, and ad libitum energy intake in humans. METHODS Healthy individuals (n = 158; 72 Native American, 50 white, 18 black, and 18 Hispanic participants; BMI: 33 [SD 9] kg/m2 ; body fat: 33% [SD 9%]) were admitted for two inpatient studies investigating the determinants of ad libitum energy intake and assessed for 3 days using a highly reproducible, computerized vending machine paradigm. Urine was collected for 24 hours during eucaloric conditions prior to the ad libitum feeding period, and urinary dopamine excretion rate was quantified by high-performance liquid chromatography. RESULTS Urinary dopamine excretion rate was on average 346 ± 106 μg over 24 hours and was positively correlated with BMI (r = 0.28, P < 0.0001). Higher dopamine concentrations were associated with lower cognitive restraint (ρ = -0.25, P = 0.005) and greater total ad libitum energy intake (r = 0.29, P = 0.0002). However, after adjustment for anthropometrics, in black and white cohorts, higher dopamine concentrations were associated with greater total ad libitum energy intake (r = 0.70, P = 0.001 and r = 0.33, P = 0.02, respectively), whereas no associations were observed in Native American or Hispanic cohorts (all P > 0.3). CONCLUSIONS Higher urinary dopamine concentrations are associated with greater ad libitum energy intake, indicating a role for dopamine in the reward pathway regulating human feeding behavior.
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Affiliation(s)
- Alessio Basolo
- Obesity and Diabetes Clinical Research Section, Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Phoenix, AZ, USA
| | - Takafumi Ando
- Obesity and Diabetes Clinical Research Section, Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Phoenix, AZ, USA
| | - Tim Hollstein
- Obesity and Diabetes Clinical Research Section, Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Phoenix, AZ, USA
| | - Susanne B. Votruba
- Obesity and Diabetes Clinical Research Section, Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Phoenix, AZ, USA
| | - Jonathan Krakoff
- Obesity and Diabetes Clinical Research Section, Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Phoenix, AZ, USA
| | - Paolo Piaggi
- Obesity and Diabetes Clinical Research Section, Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Phoenix, AZ, USA
- Department of Information Engineering, University of Pisa, Pisa, Italy
- Corresponding author: Paolo Piaggi, Ph.D., FTOS, Obesity and Diabetes Clinical Research Section, National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), National Institutes of Health (NIH), 4212 N. 16 Street, Phoenix, Arizona 85016. Tel: +1 602-200-5345, Fax: +1 602-200-5335. ,
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Liu X, Hanseman DJ, Champagne CM, Bray GA, Qi L, Williamson DA, Anton SD, Sacks FM, Tong J. Predicting Weight Loss Using Psychological and Behavioral Factors: The POUNDS LOST Trial. J Clin Endocrinol Metab 2020; 105:dgz236. [PMID: 31802116 PMCID: PMC7067534 DOI: 10.1210/clinem/dgz236] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/09/2019] [Accepted: 12/04/2019] [Indexed: 12/15/2022]
Abstract
CONTEXT Eating habits and food craving are strongly correlated with weight status. It is currently not well understood how psychological and behavioral factors influence both weight loss and weight regain. OBJECTIVE To examine the associations between psychological and behavioral predictors with weight changes and energy intake in a randomized controlled trial on weight loss. DESIGN AND SETTING The Prevention of Obesity Using Novel Dietary Strategies is a dietary intervention trial that examined the efficacy of 4 diets on weight loss over 2 years. Participants were 811 overweight (body mass index, 25-40.9 kg/m2; age, 30-70 years) otherwise healthy adults. RESULTS Every 1-point increase in craving score for high-fat foods at baseline was associated with greater weight loss (-1.62 kg, P = .0004) and a decrease in energy intake (r = -0.10, P = .01) and fat intake (r = -0.16, P < .0001) during the weight loss period. In contrast, craving for carbohydrates/starches was associated with both less weight loss (P < .0001) and more weight regain (P = .04). Greater cognitive restraint of eating at baseline was associated with both less weight loss (0.23 kg, P < .0001) and more weight regain (0.14 kg, P = .0027), whereas greater disinhibition of eating was only associated with more weight regain (0.12 kg, P = .01). CONCLUSIONS Craving for high-fat foods is predictive of greater weight loss, whereas craving for carbohydrates is predictive of less weight loss. Cognitive restraint is predictive of less weight loss and more weight regain. Interventions targeting different psychological and behavioral factors can lead to greater success in weight loss.
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Affiliation(s)
- Xiaoran Liu
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | | | | | - George A Bray
- Pennington Biomedical Research Center, Baton Rouge, Louisiana
| | - Lu Qi
- School of Public Health and Tropical Medicine, Tulane University, New Orleans, Louisiana
| | | | - Stephen D Anton
- Department of Aging & Geriatric Research, University of Florida, Gainesville, Florida
| | - Frank M Sacks
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Jenny Tong
- Department of Medicine, Division of Endocrinology, Metabolism, and Nutrition, Duke Molecular Physiology Institute, Durham, North Carolina
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