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Müller MJ, Bosy-Westphal A. Effect of Over- and Underfeeding on Body Composition and Related Metabolic Functions in Humans. Curr Diab Rep 2019; 19:108. [PMID: 31686224 DOI: 10.1007/s11892-019-1221-7] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
PURPOSE OF REVIEW Methodological limitations of body composition methods limit the validity of changes in body composition that are used to interpret metabolic outcome parameters of weight loss and weight gain. RECENT FINDINGS Direct assessment of energy balance is necessary for the assessment of early weight changes (i.e., within the 1st week of weight change), whereas body composition analysis with a high accuracy and a low minimal detectable change is recommended to assess ongoing changes. The sequence of underfeeding and overfeeding impacts the method inherent assumptions, and the considerable day-to-day and inter-individual variance in body composition changes is a challenge to the precision of methods. Weight loss-associated changes in body composition do not resemble their changes with subsequent hypercaloric re-feeding. Individual body components are related to specific metabolic functions where the structure-function relationships change with changes in energy balance. Analysis of structure-function relationships in response to weight changes needs to address (a) the validity, precision, and different outcome parameters of body composition methods and (b) the variance of results taking into account study protocols and the dynamics of weight changes. As for future studies, repeated measurements of body weight, body composition, and metabolic functions are needed before, during, and after weight changes focusing on the intra- and interindividual variances of weight change rather than on mean data only.
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Affiliation(s)
- Manfred James Müller
- Institute of Human Nutrition and Food Science, Christian-Albrechts-Universität zu Kiel, Düsternbrooker Weg 17-19, D-24105, Kiel, Germany.
| | - Anja Bosy-Westphal
- Institute of Human Nutrition and Food Science, Christian-Albrechts-Universität zu Kiel, Düsternbrooker Weg 17-19, D-24105, Kiel, Germany
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Metabolic adaptations during negative energy balance and their potential impact on appetite and food intake. Proc Nutr Soc 2019; 78:279-289. [DOI: 10.1017/s0029665118002811] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
This review examines the metabolic adaptations that occur in response to negative energy balance and their potential putative or functional impact on appetite and food intake. Sustained negative energy balance will result in weight loss, with body composition changes similar for different dietary interventions if total energy and protein intake are equated. During periods of underfeeding, compensatory metabolic and behavioural responses occur that attenuate the prescribed energy deficit. While losses of metabolically active tissue during energy deficit result in reduced energy expenditure, an additional down-regulation in expenditure has been noted that cannot be explained by changes in body tissue (e.g. adaptive thermogenesis). Sustained negative energy balance is also associated with an increase in orexigenic drive and changes in appetite-related peptides during weight loss that may act as cues for increased hunger and food intake. It has also been suggested that losses of fat-free mass (FFM) could also act as an orexigenic signal during weight loss, but more data are needed to support these findings and the signalling pathways linking FFM and energy intake remain unclear. Taken together, these metabolic and behavioural responses to weight loss point to a highly complex and dynamic energy balance system in which perturbations to individual components can cause co-ordinated and inter-related compensatory responses elsewhere. The strength of these compensatory responses is individually subtle, and early identification of this variability may help identify individuals that respond well or poorly to an intervention.
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A single day of mixed-macronutrient overfeeding does not elicit compensatory appetite or energy intake responses but exaggerates postprandial lipaemia during the next day in healthy young men. Br J Nutr 2019; 121:945-954. [PMID: 30696504 DOI: 10.1017/s0007114519000205] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
Discrete episodes of overconsumption may induce a positive energy balance and impair metabolic control. However, the effects of an ecologically relevant, single day of balanced macronutrient overfeeding are unknown. Twelve healthy men (of age 22 (sd 2) years, BMI 26·1 (sd 4·2) kg/m2) completed two 28 h, single-blind experimental trials. In a counterbalanced repeated measures design, participants either consumed their calculated daily energy requirements (energy balance trial (EB): 10 755 (sd 593) kJ) or were overfed by 50 % (overfeed trial (OF): 16 132 (sd 889) kJ) under laboratory supervision. Participants returned to the laboratory the next day, after an overnight fast, to complete a mixed-meal tolerance test (MTT). Appetite was not different between trials during day 1 (P>0·211) or during the MTT in the fasted or postprandial state (P>0·507). Accordingly, plasma acylated ghrelin, total glucagon-like peptide-1 and total peptide YY concentrations did not differ between trials during the MTT (all P>0·335). Ad libitum energy intake, assessed upon completion of the MTT, did not differ between trials (EB 6081 (sd 2260) kJ; OF 6182 (sd 1960) kJ; P=0·781). Plasma glucose and insulin concentrations were not different between trials (P>0·715). Fasted NEFA concentrations were lower in OF compared with EB (P=0·005), and TAG concentrations increased to a greater extent on OF than on EB during the MTT (P=0·009). The absence of compensatory changes in appetite-related variables after 1 d of mixed macronutrient overfeeding highlights the limited physiological response to defend against excess energy intake. This supports the concept that repeated discrete episodes of overconsumption may promote weight gain, while elevations in postprandial lipaemia may increase CVD risk.
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Giroux V, Saidj S, Simon C, Laville M, Segrestin B, Mathieu ME. Physical activity, energy expenditure and sedentary parameters in overfeeding studies - a systematic review. BMC Public Health 2018; 18:903. [PMID: 30031374 PMCID: PMC6054727 DOI: 10.1186/s12889-018-5801-2] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2018] [Accepted: 07/04/2018] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND It has been proposed that compensations in physical activity, energy expenditure and sedentary parameters can occur as a result of overfeeding studies in order to maintain body weight; however, the evidence has not yet been systematically reviewed. METHODS The current study systematically reviewed the literature on this subject to determine the common tools used in overfeeding studies and to explore whether overfeeding produces changes in physical activity, energy expenditure and sedentary parameters. Eight electronic databases were searched to identify experimental studies using keywords pertaining to overfeeding, exercise, physical activity and sedentariness. Articles included healthy adults (aged 18-64 years) participating in an overfeeding study that examined at least one parameter of sedentary, energy expenditure or physical activity. Of 123 full-text articles reviewed, 15 met the inclusion criteria. RESULTS The common tools used in overfeeding studies were doubly labeled water (n = 6), room calorimeter (n = 4), accelerometer (n = 7), pedometer (n = 3), radar sensor (n = 4) and survey (n = 1). Parameters partaining to energy expenditure increased between 7 to 50% with different overfeeding duration. Physical activity parameters, such as number of steps and spontaneous activity, increased or decreased significantly in three studies, while five studies showed no significant change. Sedentary parameters were examined by only one study and its results were not significant after 3 days of overfeeding. Methodological issues existed concerning the small number of studies, disparities in sedentary and physical activity parameters and various definitions of free-living experimental conditions and physical activity limits. CONCLUSIONS There is actually a use of many tools and a large variation of parameters for physical activity in overfeeding studies. Contradictory findings showed changes in physical activity parameters following overfeeding and limited findings support the absence of changes in sedentariness. While energy expenditure parameters are more numerous and all show an increase after an overfeeding period, further studies are required to confirm changes in physical activity and sedentary parameters.
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Affiliation(s)
- Valerie Giroux
- École de kinésiologie et des sciences de l'activité physique, Université de Montréal, P.O. Box 6128, Downtown Station, Montreal, Quebec, H3C 3J7, Canada
| | - Soraya Saidj
- École de kinésiologie et des sciences de l'activité physique, Université de Montréal, P.O. Box 6128, Downtown Station, Montreal, Quebec, H3C 3J7, Canada
| | - Chantal Simon
- CARMEN, INSERM U1060/University of Lyon/INRA U1235, Lyon, France
- Human Nutrition Research Centre of Rhône-Alpes, Hospices Civils de Lyon, Lyon, France
| | - Martine Laville
- CARMEN, INSERM U1060/University of Lyon/INRA U1235, Lyon, France
- Human Nutrition Research Centre of Rhône-Alpes, Hospices Civils de Lyon, Lyon, France
| | - Berenice Segrestin
- Human Nutrition Research Centre of Rhône-Alpes, Hospices Civils de Lyon, Lyon, France
| | - Marie-Eve Mathieu
- École de kinésiologie et des sciences de l'activité physique, Université de Montréal, P.O. Box 6128, Downtown Station, Montreal, Quebec, H3C 3J7, Canada.
- CHU Sainte-Justine, Montreal, Qc, Canada.
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Peterson CM, Zhang B, Johannsen DL, Ravussin E. Eight weeks of overfeeding alters substrate partitioning without affecting metabolic flexibility in men. Int J Obes (Lond) 2017; 41:887-893. [PMID: 28262678 PMCID: PMC5461218 DOI: 10.1038/ijo.2017.58] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/08/2016] [Revised: 01/24/2017] [Accepted: 02/18/2017] [Indexed: 01/07/2023]
Abstract
Background/Objective Impairments in metabolic flexibility and substrate handling are associated with metabolic syndrome. However, it is unknown whether metabolic inflexibility causes insulin resistance. We therefore measured metabolic flexibility and substrate handling before and after 8 weeks of overfeeding in initially healthy adults, as a model of the early stages of insulin resistance. Subjects/Methods Twenty-nine healthy men (27 ± 5 years old; BMI 25.5 ± 2.3 kg/m2) were overfed by 40% above baseline energy requirements for 8 weeks and gained 7.6 ± 2.1 kg of weight. Before and after overfeeding, energy expenditure, substrate oxidation, and metabolic flexibility were measured in 2 ways: a) during 1 day of eucaloric feeding in a whole-room indirect calorimeter, and b) during a two-step hyperinsulinemic-euglycemic clamp. Results Eight weeks of overfeeding decreased insulin sensitivity at low and high doses of insulin (p=0.001 and p=0.06, respectively). This was accompanied by decreases in the respiratory quotient (RQ) while sleeping (0.877 ± 0.020 to 0.864 ± 0.026; p=0.05) and at low insulin levels during the clamp (0.927 ± 0.047 to 0.907 ± 0.032; p=0.01). Overfeeding did not affect metabolic flexibility as measured during a clamp (p≥0.17), but it tended to increase 24-hour metabolic flexibility (awake – sleep RQ) as measured by chamber by 0.010 ± 0.028 (p=0.08). In terms of substrate oxidation, overfeeding increased protein oxidation (13 ± 23 g/day; p=0.003) and tended to increase fat oxidation (6 ± 16 g/day; p=0.07), but did not affect carbohydrate oxidation (p=0.64). Individuals with greater metabolic adaptation to overfeeding had higher carbohydrate oxidation rates (r=0.66, p=8×10−5) but not fat oxidation rates (p=0.09). Conclusions The early stages of insulin resistance are accompanied by modest declines in the RQs during sleep and during a clamp, with no changes in fasting RQ or signs of metabolic inflexibility. Our data therefore suggest that metabolic inflexibility does not cause insulin resistance.
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Affiliation(s)
- C M Peterson
- Human Translational Physiology, Pennington Biomedical Research Center, Baton Rouge, LA, USA.,Department of Nutrition Sciences, University of Alabama at Birmingham, Birmingham, AL, USA
| | - B Zhang
- Human Translational Physiology, Pennington Biomedical Research Center, Baton Rouge, LA, USA
| | - D L Johannsen
- Human Translational Physiology, Pennington Biomedical Research Center, Baton Rouge, LA, USA
| | - E Ravussin
- Human Translational Physiology, Pennington Biomedical Research Center, Baton Rouge, LA, USA
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Caloric dose-responsive genes in blood cells differentiate the metabolic status of obese men. J Nutr Biochem 2017; 43:156-165. [PMID: 28319853 DOI: 10.1016/j.jnutbio.2017.02.012] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2016] [Revised: 12/23/2016] [Accepted: 02/08/2017] [Indexed: 02/03/2023]
Abstract
We have investigated the postprandial transcriptional response of blood cells to increasing caloric doses of a meal challenge to test whether the dynamic response of the human organism to the ingestion of food is dependent on metabolic health. The randomized crossover study included seven normal weight and seven obese men consuming three doses (500/1000/1500 kcal) of a high-fat meal. The blood cell transcriptome was measured before and 2, 4, and 6 h after meal ingestion (168 samples). We applied univariate and multivariate statistics to investigate differentially expressed genes in both study groups. We identified 624 probe sets that were up- or down-regulated after the caloric challenge in a dose-dependent manner. These transcripts were most responsive to the 1500 kcal challenge in the obese group and were associated with postprandial insulin and oxidative phosphorylation. Furthermore, the data revealed a separation of the obese group into individuals whose response was close to the normal weight group and individuals with a transcriptional response indicative of a loss of metabolic flexibility. The molecular signature provided by the postprandial transcriptomic response of blood cells to increasing caloric doses of a high-fat meal challenge may represent a sensitive way to evaluate the qualitative impact of food on human health.
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Abstract
Metabolic adaptation to weight changes relates to body weight control, obesity and malnutrition. Adaptive thermogenesis (AT) refers to changes in resting and non-resting energy expenditure (REE and nREE) which are independent from changes in fat-free mass (FFM) and FFM composition. AT differs in response to changes in energy balance. With negative energy balance, AT is directed towards energy sparing. It relates to a reset of biological defence of body weight and mainly refers to REE. After weight loss, AT of nREE adds to weight maintenance. During overfeeding, energy dissipation is explained by AT of the nREE component only. As to body weight regulation during weight loss, AT relates to two different set points with a settling between them. During early weight loss, the first set is related to depleted glycogen stores associated with the fall in insulin secretion where AT adds to meet brain's energy needs. During maintenance of reduced weight, the second set is related to low leptin levels keeping energy expenditure low to prevent triglyceride stores getting too low which is a risk for some basic biological functions (e.g., reproduction). Innovative topics of AT in humans are on its definition and assessment, its dynamics related to weight loss and its constitutional and neuro-endocrine determinants.
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Affiliation(s)
- Manfred J Müller
- Institute of Human Nutrition and Food Science, Faculty of Agricultural and Nutritional Sciences, University of Kiel, Düsternbrooker Weg 17, D-24105, Kiel, Germany.
| | - Janna Enderle
- Institute of Human Nutrition and Food Science, Faculty of Agricultural and Nutritional Sciences, University of Kiel, Düsternbrooker Weg 17, D-24105, Kiel, Germany
| | - Anja Bosy-Westphal
- Institute of Nutritional Medicine, University of Hohenheim, Stuttgart, Germany
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Song LLT, Venkataraman K, Gluckman P, Chong YS, Chee MWL, Khoo CM, Leow MK, Lee YS, Tai ES, Khoo EYH. Smaller size of high metabolic rate organs explains lower resting energy expenditure in Asian-Indian Than Chinese men. Int J Obes (Lond) 2015; 40:633-8. [PMID: 26568151 DOI: 10.1038/ijo.2015.233] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/11/2015] [Revised: 07/28/2015] [Accepted: 08/10/2015] [Indexed: 11/09/2022]
Abstract
BACKGROUND In Singapore, the obesity prevalence is disproportionately higher in the Asian-Indians and Malays than the Chinese. Lower resting energy expenditure (REE) may be a contributory factor. OBJECTIVE We explored the association between ethnicity and REE in Chinese, Asian-Indian and Malay men living in Singapore and determined the influence of body composition, mass/volume of high metabolic rate organs, represented by brain volume and trunk fat-free mass (FFM), and physical activity on ethnic differences. DESIGN Two hundred and forty-four men from Singapore (n=100 Chinese, 70 Asian-Indians and 74 Malays), aged 21-40 years and body mass index of 18.5-30.0 kg m(-2), were recruited in this cross-sectional study. REE was assessed by indirect calorimetry and body composition by dual-energy X-ray absorptiometry. Brain volume was measured by magnetic resonance imaging. Physical activity was assessed by the Singapore Prospective Study Program Physical Activity Questionnaire. RESULTS REE was significantly lower in Asian-Indians compared with that in Chinese after adjusting for body weight. FFM (total, trunk and limb) and total fat mass were important predictors of REE across all ethnic groups. Brain volume was positively associated with REE only in Malays. Moderate and vigorous physical activity was positively associated with REE only in Asian-Indians and Malays. The difference in REE between Asian-Indians and Chinese was attenuated but remained statistically significant after adjustment for total FFM (59±20 kcal per day), fat mass (67±20 kcal per day) and brain volume (54±22 kcal per day). The association between REE and ethnicity was no longer statistically significant after total FFM was replaced by trunk FFM (which includes heart, liver, kidney and spleen) but not when it was replaced by limb FFM (skeletal muscle). CONCLUSIONS We have demonstrated a lower REE in Asian-Indians compared with Chinese who may contribute to the higher rates of obesity in the former. This difference could be accounted for by differences in metabolically active organs.
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Affiliation(s)
- L L T Song
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - K Venkataraman
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore
| | - P Gluckman
- Singapore Institute for Clinical Sciences, Singapore
| | - Y S Chong
- Department of Obstetrics and Gynaecology, National University of Singapore, Singapore
| | - M-W L Chee
- Center for Cognitive Neuroscience, Neuroscience and Behavioral Disorders Program, Duke-National University of Singapore Graduate Medical School, Singapore
| | - C M Khoo
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.,Duke-National University of Singapore Graduate Medical School, Singapore.,Division of Endocrinology, National University Health System, Singapore
| | - M-Ks Leow
- Office of Clinical Sciences, Duke-National University of Singapore Graduate Medical School, Singapore
| | - Y S Lee
- Singapore Institute for Clinical Sciences, Singapore.,Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.,Division of Paediatric Endocrinology and Diabetes, Khoo Teck Puat-National University Children's Medical Institute, National University Health System, Singapore
| | - E S Tai
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.,Saw Swee Hock School of Public Health, National University of Singapore, Singapore.,Duke-National University of Singapore Graduate Medical School, Singapore.,Division of Endocrinology, National University Health System, Singapore
| | - E Y H Khoo
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.,Division of Endocrinology, National University Health System, Singapore
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Bray GA, Redman LM, de Jonge L, Covington J, Rood J, Brock C, Mancuso S, Martin CK, Smith SR. Effect of protein overfeeding on energy expenditure measured in a metabolic chamber. Am J Clin Nutr 2015; 101:496-505. [PMID: 25733634 DOI: 10.3945/ajcn.114.091769] [Citation(s) in RCA: 43] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND Energy expenditure (EE) increases with overfeeding, but it is unclear how rapidly this is related to changes in body composition, increased body weight, or diet. OBJECTIVE The objective was to quantify the effects of excess energy from fat or protein on energy expenditure of men and women living in a metabolic chamber. DESIGN We conducted a randomized controlled trial in 25 participants who ate ∼40% excess energy for 56 d from 5%, 15%, or 25% protein diets. Twenty-four-hour EE (24EE) and sleeping EE (SleepEE) were measured on days 1, 14, and 56 of overfeeding and on day 57 while consuming the baseline diet (usually day 57). Metabolic and molecular markers of muscle metabolism were measured in skeletal muscle biopsy specimens. RESULTS In the low-protein diet group whose excess energy was fat, the 24EE and SleepEE did not increase during the first day of overfeeding. When extra energy contained protein, both 24EE and SleepEE increased in relation to protein intake (r = 0.50, P = 0.02). The 24EE over 8 wk in all 3 groups was correlated with protein intake (r = 0.60, P = 0.004) but not energy intake (r = 0.16; P = 0.70). SleepEE was unchanged by overfeeding in the low-protein diet group, and baseline surface area predicted increased 24EE in this group. Protein and fat oxidation were reciprocally related during overfeeding. Observed 24EE was higher than predicted on days 1 (P ≤ 0.05), 14 (P = 0.0001), and 56 (P = 0.0007). There was no relation between change in fat mass and change in EE. CONCLUSIONS Excess energy, as fat, does not acutely increase 24EE, which rises slowly as body weight increases. Excess energy as protein acutely stimulates 24EE and SleepEE. The strongest relation with change in 24EE was the change in energy expenditure in tissue other than muscle or fat-free mass.
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Affiliation(s)
- George A Bray
- From the Pennington Biomedical Research Center, Baton Rouge, LA (GAB, LMR, JC, JR, CB, SM, and CKM); George Mason University, Arlington, VA (LdJ); and Translational Research Institute for Metabolism and Diabetes Florida Hospital and Sanford Burnham Institute, Orlando, FL (SRS)
| | - Leanne M Redman
- From the Pennington Biomedical Research Center, Baton Rouge, LA (GAB, LMR, JC, JR, CB, SM, and CKM); George Mason University, Arlington, VA (LdJ); and Translational Research Institute for Metabolism and Diabetes Florida Hospital and Sanford Burnham Institute, Orlando, FL (SRS)
| | - Lilian de Jonge
- From the Pennington Biomedical Research Center, Baton Rouge, LA (GAB, LMR, JC, JR, CB, SM, and CKM); George Mason University, Arlington, VA (LdJ); and Translational Research Institute for Metabolism and Diabetes Florida Hospital and Sanford Burnham Institute, Orlando, FL (SRS)
| | - Jeffrey Covington
- From the Pennington Biomedical Research Center, Baton Rouge, LA (GAB, LMR, JC, JR, CB, SM, and CKM); George Mason University, Arlington, VA (LdJ); and Translational Research Institute for Metabolism and Diabetes Florida Hospital and Sanford Burnham Institute, Orlando, FL (SRS)
| | - Jennifer Rood
- From the Pennington Biomedical Research Center, Baton Rouge, LA (GAB, LMR, JC, JR, CB, SM, and CKM); George Mason University, Arlington, VA (LdJ); and Translational Research Institute for Metabolism and Diabetes Florida Hospital and Sanford Burnham Institute, Orlando, FL (SRS)
| | - Courtney Brock
- From the Pennington Biomedical Research Center, Baton Rouge, LA (GAB, LMR, JC, JR, CB, SM, and CKM); George Mason University, Arlington, VA (LdJ); and Translational Research Institute for Metabolism and Diabetes Florida Hospital and Sanford Burnham Institute, Orlando, FL (SRS)
| | - Susan Mancuso
- From the Pennington Biomedical Research Center, Baton Rouge, LA (GAB, LMR, JC, JR, CB, SM, and CKM); George Mason University, Arlington, VA (LdJ); and Translational Research Institute for Metabolism and Diabetes Florida Hospital and Sanford Burnham Institute, Orlando, FL (SRS)
| | - Corby K Martin
- From the Pennington Biomedical Research Center, Baton Rouge, LA (GAB, LMR, JC, JR, CB, SM, and CKM); George Mason University, Arlington, VA (LdJ); and Translational Research Institute for Metabolism and Diabetes Florida Hospital and Sanford Burnham Institute, Orlando, FL (SRS)
| | - Steven R Smith
- From the Pennington Biomedical Research Center, Baton Rouge, LA (GAB, LMR, JC, JR, CB, SM, and CKM); George Mason University, Arlington, VA (LdJ); and Translational Research Institute for Metabolism and Diabetes Florida Hospital and Sanford Burnham Institute, Orlando, FL (SRS)
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10
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Chow CC, Hall KD. Short and long-term energy intake patterns and their implications for human body weight regulation. Physiol Behav 2014; 134:60-5. [PMID: 24582679 DOI: 10.1016/j.physbeh.2014.02.044] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2013] [Revised: 02/17/2014] [Accepted: 02/18/2014] [Indexed: 11/17/2022]
Abstract
Adults consume millions of kilocalories over the course of a few years, but the typical weight gain amounts to only a few thousand kilocalories of stored energy. Furthermore, food intake is highly variable from day to day and yet body weight is remarkably stable. These facts have been used as evidence to support the hypothesis that human body weight is regulated by active control of food intake operating on both short and long time scales. Here, we demonstrate that active control of human food intake on short time scales is not required for body weight stability and that the current evidence for long term control of food intake is equivocal. To provide more data on this issue, we emphasize the urgent need for developing new methods for accurately measuring energy intake changes over long time scales. We propose that repeated body weight measurements can be used along with mathematical modeling to calculate long-term changes in energy intake and thereby quantify adherence to a diet intervention and provide dynamic feedback to individuals that seek to control their body weight.
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Affiliation(s)
- Carson C Chow
- Laboratory of Biological Modeling, National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, MD, United States
| | - Kevin D Hall
- Laboratory of Biological Modeling, National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, MD, United States.
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11
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Camps SG, Verhoef SP, Westerterp KR. Weight loss-induced reduction in physical activity recovers during weight maintenance. Am J Clin Nutr 2013; 98:917-23. [PMID: 23985804 DOI: 10.3945/ajcn.113.062935] [Citation(s) in RCA: 31] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023] Open
Abstract
BACKGROUND Weight loss due to a negative energy balance is considered to be accompanied by a decrease in physical activity. OBJECTIVE The aim of this study was to investigate whether a decrease in physical activity is sustained during weight maintenance. DESIGN Subjects were 20 men and 31 women [mean (±SD) age: 42 ± 8 y; BMI (in kg/m(2)): 31.4 ± 2.8]. Weight loss was achieved by an 8-wk very-low-energy diet period, followed by 44 wk of weight maintenance. Physical activity measures were total energy expenditure expressed as a multiple of sleeping metabolic rate (PALSMR) and resting metabolic rate (PALRMR), activity-induced energy expenditure divided by body weight (AEE/kg), and activity counts measured by a triaxial accelerometer. Measurements took place at 0, 8, and 52 wk. RESULTS Body mass decreased significantly during the diet period (10.5 ± 3.8%, P < 0.001), and this reduction was sustained after 52 wk (6.0 ± 5.1%, P < 0.001). PALSMR and PALRMR decreased from 1.81 ± 0.23 and 1.70 ± 0.22, respectively, before the diet to 1.69 ± 0.20 and 1.55 ± 0.19 after the diet (P < 0.001) and increased again after weight maintenance to 1.85 ± 0.27 and 1.71 ± 0.23, respectively, compared with 8-wk measurements (P < 0.001). AEE/kg decreased from 0.043 ± 0.015 MJ/kg at baseline to 0.037 ± 0.014 MJ/kg after the diet (P < 0.001) and was higher after 52 wk (0.044 ± 0.17 MJ/kg) compared with after 8 wk (P < 0.001). Activity counts decreased from 1.64 ± 0.37 megacounts/d at baseline to 1.54 ± 0.35 megacounts/d after the diet (P < 0.05) and were higher after 52 wk (1.73 ± 0.49 megacounts/d) compared with 8 wk (P < 0.01). CONCLUSION A weight loss-induced reduction in physical activity returns to baseline values when weight loss is maintained. This trial was registered at clinicaltrials.gov as NCT01015508.
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Affiliation(s)
- Stefan Gja Camps
- Department of Human Biology, Nutrition and Toxicology Research Institute Maastricht, Maastricht University, Maastricht, Netherlands
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12
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The defence of body weight: a physiological basis for weight regain after weight loss. Clin Sci (Lond) 2013; 124:231-41. [PMID: 23126426 DOI: 10.1042/cs20120223] [Citation(s) in RCA: 162] [Impact Index Per Article: 14.7] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
Although weight loss can usually be achieved by restricting food intake, the majority of dieters regain weight over the long-term. In the hypothalamus, hormonal signals from the gastrointestinal tract, adipose tissue and other peripheral sites are integrated to influence appetite and energy expenditure. Diet-induced weight loss is accompanied by several physiological changes which encourage weight regain, including alterations in energy expenditure, substrate metabolism and hormone pathways involved in appetite regulation, many of which persist beyond the initial weight loss period. Safe effective long-term strategies to overcome these physiological changes are needed to help facilitate maintenance of weight loss. The present review, which focuses on data from human studies, begins with an outline of body weight regulation to provide the context for the subsequent discussion of short- and long-term physiological changes which accompany diet-induced weight loss.
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Dulloo AG, Jacquet J, Montani JP, Schutz Y. Adaptive thermogenesis in human body weight regulation: more of a concept than a measurable entity? Obes Rev 2012; 13 Suppl 2:105-21. [PMID: 23107264 DOI: 10.1111/j.1467-789x.2012.01041.x] [Citation(s) in RCA: 78] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
According to Lavoisier, 'Life is combustion'. But to what extent humans adapt to changes in food intake through adaptive thermogenesis--by turning down the rate of heat production during energy deficit (so as to conserve energy) or turning it up during overnutrition (so as to dissipate excess calories)--has been one of the most controversial issues in nutritional sciences over the past 100 years. The debate nowadays is not whether adaptive thermogenesis exists or not, but rather about its quantitative importance in weight homoeostasis and its clinical relevance to the pathogenesis and management of obesity. Such uncertainties are likely to persist in the foreseeable future primarily because of limitations to unobtrusively measure changes in energy expenditure and body composition with high enough accuracy and precision, particularly when even small inter-individual variations in thermogenesis can, in dynamic systems and over the long term, be important in the determining weight maintenance in some and obesity and weight regain in others. This paper reviews the considerable body of evidence, albeit fragmentary, suggesting the existence of quantitatively important adaptive thermogenesis in several compartments of energy expenditure in response to altered food intake. It then discusses the various limitations that lead to over- or underestimations in its assessment, including definitional and semantics, technical and methodological, analytical and statistical. While the role of adaptive thermogenesis in human weight regulation is likely to remain more a concept than a strictly 'quantifiable' entity in the foreseeable future, the evolution of this concept continues to fuel exciting hypothesis-driven mechanistic research which contributes to advance knowledge in human metabolism and which is bound to result in improved strategies for the management of a healthy body weight.
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Affiliation(s)
- A G Dulloo
- Department of Medicine/Physiology, University of Fribourg, Chemin du musée 5, Fribourg, Switzerland.
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Schmidt SL, Harmon KA, Sharp TA, Kealey EH, Bessesen DH. The effects of overfeeding on spontaneous physical activity in obesity prone and obesity resistant humans. Obesity (Silver Spring) 2012; 20:2186-93. [PMID: 22522883 PMCID: PMC3782097 DOI: 10.1038/oby.2012.103] [Citation(s) in RCA: 38] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Despite living in an environment that promotes weight gain in many individuals, some individuals maintain a thin phenotype while self-reporting expending little or no effort to control their weight. When compared with obesity prone (OP) individuals, we wondered if obesity resistant (OR) individuals would have higher levels of spontaneous physical activity (SPA) or respond to short-term overfeeding by increasing their level of SPA in a manner that could potentially limit future weight gain. SPA was measured in 55 subjects (23 OP and 32 OR) using a novel physical activity monitoring system (PAMS) that measured body position and movement while subjects were awake for 6 days, either in a controlled eucaloric condition or during 3 days of overfeeding (1.4 × basal energy) and for the subsequent 3 days (ad libitum recovery period). Pedometers were also used before and during use of the PAMS to provide an independent measure of SPA. SPA was quantified by the PAMS as fraction of recording time spent lying, sitting, or in an upright posture. Accelerometry, measured while subjects were in an upright posture, was used to categorize time spent in different levels of movement (standing, walking slowly, quickly, etc.). There were no differences in SPA between groups when examined across all study periods (P > 0.05). However, 3 days following overfeeding, OP subjects significantly decreased the amount of time they spent walking (-2.0% of time, P = 0.03), whereas OR subjects maintained their walking (+0.2%, P > 0.05). The principle findings of this study are that increased levels of SPA either during eucaloric feeding or following short term overfeeding likely do not significantly contribute to obesity resistance although a decrease in SPA following overfeeding may contribute to future weight gain in individuals prone to obesity.
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Affiliation(s)
- Stacy L. Schmidt
- Division of Endocrinology, Metabolism, and Diabetes, University of Colorado, Anschutz Medical Campus, School of Medicine, Denver, Colorado, USA
| | - Kristin A. Harmon
- Department of Medicine, Florida State University College of Medicine, School of Human Sciences, Tallahassee, Florida, USA
| | - Teresa A. Sharp
- University of Northern Colorado and Colorado School of Public Health, Greeley, Colorado, USA
| | - Elizabeth H. Kealey
- Division of Endocrinology, Metabolism, and Diabetes, University of Colorado, Anschutz Medical Campus, School of Medicine, Denver, Colorado, USA
| | - Daniel H. Bessesen
- Division of Endocrinology, Metabolism, and Diabetes, University of Colorado, Anschutz Medical Campus, School of Medicine, Denver, Colorado, USA
- Denver Health Medical Center, Denver, Colorado, USA
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Rosenkilde M, Auerbach P, Reichkendler MH, Ploug T, Stallknecht BM, Sjödin A. Body fat loss and compensatory mechanisms in response to different doses of aerobic exercise--a randomized controlled trial in overweight sedentary males. Am J Physiol Regul Integr Comp Physiol 2012; 303:R571-9. [PMID: 22855277 DOI: 10.1152/ajpregu.00141.2012] [Citation(s) in RCA: 84] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
The amount of weight loss induced by exercise is often disappointing. A diet-induced negative energy balance triggers compensatory mechanisms, e.g., lower metabolic rate and increased appetite. However, knowledge about potential compensatory mechanisms triggered by increased aerobic exercise is limited. A randomized controlled trial was performed in healthy, sedentary, moderately overweight young men to examine the effects of increasing doses of aerobic exercise on body composition, accumulated energy balance, and the degree of compensation. Eighteen participants were randomized to a continuous sedentary control group, 21 to a moderate-exercise (MOD; 300 kcal/day), and 22 to a high-exercise (HIGH; 600 kcal/day) group for 13 wk, corresponding to ∼30 and 60 min of daily aerobic exercise, respectively. Body weight (MOD: -3.6 kg, P < 0.001; HIGH: -2.7 kg, P = 0.01) and fat mass (MOD: -4.0 kg, P < 0.001 and HIGH: -3.8 kg, P < 0.001) decreased similarly in both exercise groups. Although the exercise-induced energy expenditure in HIGH was twice that of MOD, the resulting accumulated energy balance, calculated from changes in body composition, was not different (MOD: -39.6 Mcal, HIGH: -34.3 Mcal, not significant). Energy balance was 83% more negative than expected in MOD, while it was 20% less negative than expected in HIGH. No statistically significant changes were found in energy intake or nonexercise physical activity that could explain the different compensatory responses associated with 30 vs. 60 min of daily aerobic exercise. In conclusion, a similar body fat loss was obtained regardless of exercise dose. A moderate dose of exercise induced a markedly greater than expected negative energy balance, while a higher dose induced a small but quantifiable degree of compensation.
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Affiliation(s)
- Mads Rosenkilde
- Department of Biomedical Sciences, University of Copenhagen, Denmark.
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Prado CMM, Wells JCK, Smith SR, Stephan BCM, Siervo M. Sarcopenic obesity: A Critical appraisal of the current evidence. Clin Nutr 2012; 31:583-601. [PMID: 22809635 DOI: 10.1016/j.clnu.2012.06.010] [Citation(s) in RCA: 378] [Impact Index Per Article: 31.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2011] [Revised: 03/25/2012] [Accepted: 06/11/2012] [Indexed: 12/14/2022]
Abstract
Sarcopenic obesity (SO) is assuming a prominent role as a risk factor because of the double metabolic burden derived from low muscle mass (sarcopenia) and excess adiposity (obesity). The increase in obesity prevalence rates in older subjects is of concern given the associated disease risks and more limited therapeutic options available in this age group. This review has two main objectives. The primary objective is to collate results from studies investigating the effects of SO on physical and cardio-metabolic functions. The secondary objective is to evaluate published studies for consistency in methodology, diagnostic criteria, exposure and outcome selection. Large between-study heterogeneity was observed in the application of diagnostic criteria and choice of body composition components for the assessment of SO, which contributes to the inconsistent associations of SO with cardio-metabolic outcomes. We propose a metabolic load:capacity model of SO given by the ratio between fat mass and fat free mass, and discuss how this could be operationalised. The concept of regional fat distribution could be incorporated into the model and tested in future studies to advance our understanding of SO as a predictor of risk for cardio-metabolic diseases and physical disability.
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Affiliation(s)
- C M M Prado
- Department of Nutrition, Food and Exercise Sciences, College of Human Sciences, The Florida State University, 436 Sandels Building, Tallahassee, FL 32306-1493, USA
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Thomas DM, Martin CK, Heymsfield S, Redman LM, Schoeller DA, Levine JA. A Simple Model Predicting Individual Weight Change in Humans. JOURNAL OF BIOLOGICAL DYNAMICS 2011; 5:579-599. [PMID: 24707319 PMCID: PMC3975626 DOI: 10.1080/17513758.2010.508541] [Citation(s) in RCA: 84] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/09/2023]
Abstract
Excessive weight in adults is a national concern with over 2/3 of the US population deemed overweight. Because being overweight has been correlated to numerous diseases such as heart disease and type 2 diabetes, there is a need to understand mechanisms and predict outcomes of weight change and weight maintenance. A simple mathematical model that accurately predicts individual weight change offers opportunities to understand how individuals lose and gain weight and can be used to foster patient adherence to diets in clinical settings. For this purpose, we developed a one dimensional differential equation model of weight change based on the energy balance equation is paired to an algebraic relationship between fat free mass and fat mass derived from a large nationally representative sample of recently released data collected by the Centers for Disease Control. We validate the model's ability to predict individual participants' weight change by comparing model estimates of final weight data from two recent underfeeding studies and one overfeeding study. Mean absolute error and standard deviation between model predictions and observed measurements of final weights are less than 1.8 ± 1.3 kg for the underfeeding studies and 2.5 ± 1.6 kg for the overfeeding study. Comparison of the model predictions to other one dimensional models of weight change shows improvement in mean absolute error, standard deviation of mean absolute error, and group mean predictions. The maximum absolute individual error decreased by approximately 60% substantiating reliability in individual weight change predictions. The model provides a viable method for estimating individual weight change as a result of changes in intake and determining individual dietary adherence during weight change studies.
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Affiliation(s)
- Diana M. Thomas
- Department of Mathematical Sciences, Montclair State University, Montclair, NJ
| | | | | | | | | | - James A. Levine
- Department of Medicine, Endocrine Research Unit, Mayo Clinic and Mayo Foundation, Rochester, MN
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Dugas LR, Harders R, Merrill S, Ebersole K, Shoham DA, Rush EC, Assah FK, Forrester T, Durazo-Arvizu RA, Luke A. Energy expenditure in adults living in developing compared with industrialized countries: a meta-analysis of doubly labeled water studies. Am J Clin Nutr 2011; 93:427-41. [PMID: 21159791 PMCID: PMC3021434 DOI: 10.3945/ajcn.110.007278] [Citation(s) in RCA: 78] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2010] [Accepted: 11/18/2010] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND There is an assumption that people in developing countries have a higher total energy expenditure (TEE) and physical activity level (PAL) than do people in developed nations, but few objective data for this assertion exist. OBJECTIVE We conducted a meta-analysis of TEE and PAL by using data from countries that have a low or middle human development index (HDI) compared with those with a high HDI to better understand how energy-expenditure variables are associated with development status and population differences in body size. DESIGN We performed a literature search for studies in which energy expenditure was measured by using doubly labeled water. Mean data on age, weight, body mass index (BMI; in kg/m(2)), TEE, and PAL were extracted, and HDI status was assessed. Pooled estimates of the mean effect by sex were obtained, and the extent to which age, weight, HDI status, and year of publication explained heterogeneity was assessed. RESULTS A total of 98 studies (14 studies from low- or middle-HDI countries) that represented 183 cohorts and 4972 individuals were included. Mean (±SE) BMI was lower in countries with a low or middle HDI than in those with a high HDI for both men and women (22.7 ± 1.0 compared with 26.0 ± 0.7, respectively, in men and 24.3 ± 0.7 compared with 26.6 ± 0.4, respectively, in women). In meta-regression models, there was an inverse association of age (P < 0.001) and a positive association of weight (P < 0.001) with TEE for both sexes; there was an association of age only in men with PAL (P < 0.001). There was no association of HDI status with either TEE or PAL. CONCLUSION TEE adjusted for weight and age or PAL did not differ significantly between developing and industrialized countries, which calls into question the role of energy expenditure in the cause of obesity at the population level.
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Affiliation(s)
- Lara R Dugas
- Department of Preventive Medicine and Epidemiology, Loyola University Chicago, Maywood, IL 60153, USA.
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Ernersson A, Nystrom FH, Lindström T. Long-term increase of fat mass after a four week intervention with fast food based hyper-alimentation and limitation of physical activity. Nutr Metab (Lond) 2010; 7:68. [PMID: 20738843 PMCID: PMC2936436 DOI: 10.1186/1743-7075-7-68] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2010] [Accepted: 08/25/2010] [Indexed: 11/19/2022] Open
Abstract
Background A sedentary lifestyle and increased consumption of energy dense food have become more common in many parts of the world. The aim of this study was to study long term effects on body composition after a four week intervention with fast food based hyper-alimentation and limited physical activity in young normal weight subjects. Methods Eighteen subjects, mean age 26 (6.6) years, increased their energy intake with in average 70% and physical activity were not to exceed 5000 steps/day. Body composition was measured by Dual energy x-ray (DXA) at baseline, after the intervention and after 12 months. A matched control group was also included. ANOVA and Student's paired and unpaired t-test were used. Results During the intervention body weight increased with 6.4 (2.8) kg and DXA measurements showed increases of both fat free mass and fat mass. Six months after the intervention the subjects had lost most of the weight gain, - 4.7 (3.1) kg. Twelve months after the intervention body weight had increased with 1.5 (2.4) kg compared to baseline (p = 0.018). DXA measurements at 12 months showed unchanged fat free mass compared to baseline but higher fat mass, + 1.4 (1.9) kg (p = 0.01). After 2.5 years the increase of body weight was 3.1 (4.0) kg (p = 0.01) while there was no change in controls compared to baseline, + 0.1(2.5) kg (p = 0.88). Conclusion One year after a short term intervention with increased fast food based hyper-alimentation there was an increase of fat mass but unchanged fat free mass. As the change of fat mass was larger than expected from prospective epidemiological studies and as there was no increase of body weight in controls it raises the issue whether there is a long-term effect to increase fat mass of a short period of hyper-alimentation.
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Affiliation(s)
- Asa Ernersson
- Department of Medical and Health Sciences, Faculty of Health Sciences, Linköping University, SE 58185 Linköping, Sweden.
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20
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Westerterp KR. Physical activity, food intake, and body weight regulation: insights from doubly labeled water studies. Nutr Rev 2010; 68:148-54. [DOI: 10.1111/j.1753-4887.2010.00270.x] [Citation(s) in RCA: 99] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022] Open
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21
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Shin AC, Zheng H, Berthoud HR. An expanded view of energy homeostasis: neural integration of metabolic, cognitive, and emotional drives to eat. Physiol Behav 2009; 97:572-80. [PMID: 19419661 PMCID: PMC2765252 DOI: 10.1016/j.physbeh.2009.02.010] [Citation(s) in RCA: 91] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2009] [Revised: 02/03/2009] [Accepted: 02/05/2009] [Indexed: 01/01/2023]
Abstract
The traditional view of neural regulation of body energy homeostasis focuses on internal feedback signals integrated in the hypothalamus and brainstem and in turn leading to balanced activation of behavioral, autonomic, and endocrine effector pathways leading to changes in food intake and energy expenditure. Recent observations have demonstrated that many of these internal signals encoding energy status have much wider effects on the brain, particularly sensory and cortico-limbic systems that process information from the outside world by detecting and interpreting food cues, forming, storing, and recalling representations of experience with food, and assigning hedonic and motivational value to conditioned and unconditioned food stimuli. Thus, part of the metabolic feedback from the internal milieu regulates food intake and energy balance by acting on extrahypothalamic structures, leading to an expanded view of neural control of energy homeostasis taking into account the need to adapt to changing conditions in the environment. The realization that metabolic signals act directly on these non-traditional targets of body energy homeostasis brings opportunities for novel drug targets for the fight against obesity and eating disorders.
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Affiliation(s)
- Andrew C Shin
- Neurobiology of Nutrition Laboratory, Pennington Biomedical Research Center, Louisiana State University System, Baton Rouge, Louisiana, USA
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22
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Increased portion size leads to a sustained increase in energy intake over 4 d in normal-weight and overweight men and women. Br J Nutr 2009; 102:470-7. [PMID: 19216813 DOI: 10.1017/s0007114508201960] [Citation(s) in RCA: 53] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Large food portions may be facilitating excess energy intake (EI) and adiposity among adults. The present study aimed to assess the extent to which EI and amounts of foods consumed are influenced by the availability of different-sized food portions. A randomised within-subject cross-over, fully residential design was used, where forty-three (twenty-one men and twenty-two women) normal-weight and overweight adults were randomly allocated to two separate 4 d periods where they were presented with either 'standard' or 'large' food portions of the same foods and beverages. The main outcome measures were the amount of food (g) and EI (MJ) consumed throughout each study period. Mean EI over 4 d was significantly higher on the large portion condition compared with the standard condition in the total group (59.1 (sd 6.6) v. 52.2 (sd 14.3) MJ; P = 0.020); men and women increased their EI by 17 % (10 (sd 6.5) MJ; P < 0.001) and 10 % (4 (sd 6.5) MJ; P = 0.005) respectively when served the large food portions relative to the standard food portions. The increased intakes were sustained over the 4 d in the large portion condition with little evidence of down-regulation of EI and food intake being made by subjects. Increased food portion size resulted in significant and sustained increases in EI in men and women over 4 d under fully residential conditions. The availability and consumption of larger portions of food may be a significant factor contributing to excess EI and adiposity.
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Abstract
PURPOSE OF REVIEW Is trafficking of dietary fat involved in the development of obesity? RECENT FINDINGS Studies on energy expenditure and substrate utilization during overfeeding, studies on individual differences in substrate utilization between individuals fed at energy balance, and differences in responses in energy expenditure and substrate utilization in individuals after weight reduction, illustrate that the capacity of fat oxidation is a potential determinant for the development of obesity. SUMMARY The ability to store dietary fat seems to be involved in the susceptibility to gain weight during a positive energy balance. Obese individuals show less oxidation and more storage of dietary fat as compared with the lean phenotype. Differences in fuel trafficking make individuals prone to overeating in the current obesogenic environment with a high availability of energy-dense fatty foods. It is difficult to get rid of excess body fat as energy requirement for weight maintenance after weight reduction is lower than predicted from the new body composition reached and thus, there is a high risk for weight regain.
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Affiliation(s)
- Klaas R Westerterp
- Department of Human Biology, Maastricht University, Maastricht, The Netherlands.
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24
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Bibliography. Current world literature. Nutrition and metabolism. Curr Opin Lipidol 2009; 20:63-72. [PMID: 19106709 DOI: 10.1097/mol.0b013e32832402a2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
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