scholarly journals No consistent evidence of a disproportionately low resting energy expenditure in long-term successful weight-loss maintainers

2018 ◽  
Vol 108 (4) ◽  
pp. 658-666 ◽  
Author(s):  
Danielle M Ostendorf ◽  
Edward L Melanson ◽  
Ann E Caldwell ◽  
Seth A Creasy ◽  
Zhaoxing Pan ◽  
...  
Keyword(s):  
Weight Loss ◽  
Energy Expenditure ◽  
Body Mass ◽  
Resting Energy Expenditure ◽  
Weight Loss Maintenance ◽  
Fat Free Mass ◽  
Predictive Equations ◽  
Successful Weight Loss ◽  
Resting Energy

Abstract Background Evidence in humans is equivocal in regards to whether resting energy expenditure (REE) decreases to a greater extent than predicted for the loss of body mass with weight loss, and whether this disproportionate decrease in REE persists with weight-loss maintenance. Objectives We aimed to1) determine if a lower-than-predicted REE is present in a sample of successful weight-loss maintainers (WLMs) and 2) determine if amount of weight loss or duration of weight-loss maintenance are correlated with a lower-than-predicted REE in WLMs. Design Participants (18–65 y old) were recruited in 3 groups: WLMs (maintaining ≥13.6 kg weight loss for ≥1 y, n = 34), normal-weight controls [NCs, body mass index (BMI; in kg/m2) similar to current BMI of WLMs, n = 35], and controls with overweight/obesity (OCs, BMI similar to pre–weight-loss maximum BMI of WLMs, n = 33). REE was measured (REEm) with indirect calorimetry. Predicted REE (REEp) was determined via 1) a best-fit linear regression developed with the use of REEm, age, sex, fat-free mass, and fat mass from our control groups and 2) three standard predictive equations. Results REEm in WLMs was accurately predicted by equations developed from NCs and OCs (±1%) and by 3 standard predictive equations (±3%). In WLMs, individual differences between REEm and REEp ranged from −257 to +163 kcal/d. A lower REEm compared with REEp was correlated with amount of weight lost (r = 0.36, P < 0.05) but was not correlated with duration of weight-loss maintenance (r = 0.04, P = 0.81). Conclusions We found no consistent evidence of a significantly lower REE than predicted in a sample of long-term WLMs based on predictive equations developed from NCs and OCs as well as 3 standard predictive equations. Results suggest that sustained weight loss may not always result in a substantial, disproportionately low REE. This trial was registered at clinicaltrials.gov as NCT03422380.

scholarly journals High Compared with Moderate Protein Intake Reduces Adaptive Thermogenesis and Induces a Negative Energy Balance during Long-term Weight-Loss Maintenance in Participants with Prediabetes in the Postobese State: A PREVIEW Study

2019 ◽  
Vol 150 (3) ◽  
pp. 458-463 ◽  
Author(s):  
Mathijs Drummen ◽  
Lea Tischmann ◽  
Blandine Gatta-Cherifi ◽  
Mikael Fogelholm ◽  
Anne Raben ◽  
...  
Keyword(s):  
Weight Loss ◽  
Energy Balance ◽  
Energy Expenditure ◽  
Weight Maintenance ◽  
Resting Energy Expenditure ◽  
Fat Free Mass ◽  
Positive Energy ◽  
Adaptive Thermogenesis ◽  
Resting Energy

ABSTRACT Background Weight loss has been associated with adaptations in energy expenditure. Identifying factors that counteract these adaptations are important for long-term weight loss and weight maintenance. Objective The aim of this study was to investigate whether increased protein/carbohydrate ratio would reduce adaptive thermogenesis (AT) and the expected positive energy balance (EB) during weight maintenance after weight loss in participants with prediabetes in the postobese state. Methods In 38 participants, the effects of 2 diets differing in protein/carbohydrate ratio on energy expenditure and respiratory quotient (RQ) were assessed during 48-h respiration chamber measurements ∼34 mo after weight loss. Participants consumed a high-protein (HP) diet (n = 20; 13 women/7 men; age: 64.0 ± 6.2 y; BMI: 28.9 ± 4.0 kg/m 2) with 25:45:30% or a moderate-protein (MP) diet (n = 18; 9 women/9 men; age: 65.1 ± 5.8 y; BMI: 29.0 ± 3.8 kg/m 2) with 15:55:30% of energy from protein:carbohydrate:fat. Predicted resting energy expenditure (REEp) was calculated based on fat-free mass and fat mass. AT was assessed by subtracting measured resting energy expenditure (REE) from REEp. The main outcomes included differences in components of energy expenditure, substrate oxidation, and AT between groups. Results EB (MP = 0.2 ± 0.9 MJ/d; HP = −0.5 ± 0.9 MJ/d) and RQ (MP = 0.84 ± 0.02; HP = 0.82 ± 0.02) were reduced and REE (MP: 7.3 ± 0.2 MJ/d compared with HP: 7.8 ± 0.2 MJ/d) was increased in the HP group compared with the MP group (P &lt; 0.05). REE was not different from REEp in the HP group, whereas REE was lower than REEp in the MP group (P &lt; 0.05). Furthermore, EB was positively related to AT (rs = 0.74; P &lt; 0.001) and RQ (rs = 0.47; P &lt; 0.01) in the whole group of participants. Conclusions In conclusion, an HP diet compared with an MP diet led to a negative EB and counteracted AT ∼34 mo after weight loss, in participants with prediabetes in the postobese state. These results indicate the relevance of compliance to an increased protein/carbohydrate ratio for long-term weight maintenance after weight loss. The trial was registered at clinicaltrials.gov as NCT01777893.

Weight and body composition changes affect resting energy expenditure predictive equations during a 12‐month weight‐loss intervention

Obesity ◽  
2021 ◽  
Vol 29 (10) ◽  
pp. 1596-1605
Author(s):  
Jared H. Dahle ◽  
Danielle M. Ostendorf ◽  
Zhaoxing Pan ◽  
Paul S. MacLean ◽  
Daniel H. Bessesen ◽  
...  
Keyword(s):  
Weight Loss ◽  
Body Composition ◽  
Energy Expenditure ◽  
Resting Energy Expenditure ◽  
Weight Loss Intervention ◽  
Predictive Equations ◽  
Composition Changes ◽  
Resting Energy

The contribution of fat-free mass to resting energy expenditure: implications for weight loss strategies in the treatment of adolescent obesity

2015 ◽  
Vol 27 (3) ◽  
pp. 241-246 ◽  
Author(s):  
Matthew G. Browning ◽  
Ronald K. Evans
Keyword(s):  
Weight Loss ◽  
Energy Balance ◽  
Energy Expenditure ◽  
Resting Energy Expenditure ◽  
Strong Relationship ◽  
Adolescent Obesity ◽  
Normal Weight ◽  
Fat Free Mass ◽  
Weight Loss Outcomes ◽  
Resting Energy

AbstractOwing to the strong relationship between fat-free mass (FFM) and resting energy expenditure (REE), the preservation of FFM is often emphasized in the treatment of adolescent obesity. Typical treatment regimens including an increased dietary consumption of protein and participation in resistance training are common components of adolescent weight management programs, despite limited evidence of a positive influence of FFM on weight loss outcomes in adolescents. Given the larger volume of FFM in obese relative to normal weight adolescents and the common treatment goals of both maximizing weight loss and attenuating the loss of FFM, a better understanding of the influence of FFM on energy balance is needed to determine whether strategies to preserve lean tissue or maximize absolute weight loss should be most emphasized. We review the associations among FFM, REE, and weight loss outcomes, focusing on how these relationships might influence energy balance in obese adolescents.

scholarly journals Resting energy expenditure in obese women: comparison between measured and estimated values

2016 ◽  
Vol 116 (7) ◽  
pp. 1306-1313 ◽  
Author(s):  
Vanessa Fadanelli Schoenardie Poli ◽  
Ricardo Badan Sanches ◽  
Amanda dos Santos Moraes ◽  
João Pedro Novo Fidalgo ◽  
Maythe Amaral Nascimento ◽  
...  
Keyword(s):  
Energy Expenditure ◽  
Indirect Calorimetry ◽  
Intraclass Correlation ◽  
Resting Energy Expenditure ◽  
Fat Free Mass ◽  
Interdisciplinary Therapy ◽  
Obese Women ◽  
Predictive Equations ◽  
Before And After ◽  
Resting Energy

AbstractAssessing energy requirements is a fundamental activity in clinical dietetic practice. The aim of this study was to investigate which resting energy expenditure (REE) predictive equations are the best alternatives to indirect calorimetry before and after an interdisciplinary therapy in Brazilian obese women. In all, twelve equations based on weight, height, sex, age, fat-free mass and fat mass were tested. REE was measured by indirect calorimetry. The interdisciplinary therapy consisted of nutritional, physical exercise, psychological and physiotherapy support during the course of 1 year. The average differences between measured and predicted REE, as well as the accuracy at the ±10 % level, were evaluated. Statistical analysis included paired t tests, intraclass correlation coefficients and Bland–Altman plots. Validation was based on forty obese women (BMI 30–39·9 kg/m2). Our major findings demonstrated a wide variation in the accuracy of REE predictive equations before and after weight loss in non-morbid, obese women. The equations reported by Harris–Benedict and FAO/WHO/United Nations University (UNU) were the only ones that did not show significant differences compared with indirect calorimetry and presented a bias <5 %. The Harris–Benedict equation provided 40 and 47·5 % accurate predictions before and after therapy, respectively. The FAO equation provided 35 and 47·5 % accurate predictions. However, the Bland–Altman analysis did not show good agreement between these equations and indirect calorimetry. Therefore, the Harris–Benedict and FAO/WHO/UNU equations should be used with caution for obese women. The need to critically re-assess REE data and generate regional and more homogeneous REE databases for the target population is reinforced.

scholarly journals Resistance Training Conserves Fat-free Mass and Resting Energy Expenditure Following Weight Loss

Obesity ◽  
2008 ◽  
Vol 16 (5) ◽  
pp. 1045-1051 ◽  
Author(s):  
Gary R. Hunter ◽  
Nuala M. Byrne ◽  
Bovorn Sirikul ◽  
José R. Fernández ◽  
Paul A. Zuckerman ◽  
...  
Keyword(s):  
Weight Loss ◽  
Resistance Training ◽  
Energy Expenditure ◽  
Resting Energy Expenditure ◽  
Fat Free Mass ◽  
Resting Energy
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