scholarly journals Normal Protein Intake Is Required for Body Weight Loss and Weight Maintenance, and Elevated Protein Intake for Additional Preservation of Resting Energy Expenditure and Fat Free Mass

2013 ◽  
Vol 143 (5) ◽  
pp. 591-596 ◽  
Author(s):  
Stijn Soenen ◽  
Eveline A. P. Martens ◽  
Ananda Hochstenbach-Waelen ◽  
Sofie G. T. Lemmens ◽  
Margriet S. Westerterp-Plantenga
Keyword(s):  
Weight Loss ◽  
Body Weight ◽  
Energy Expenditure ◽  
Protein Intake ◽  
Weight Maintenance ◽  
Body Weight Loss ◽  
Resting Energy Expenditure ◽  
Fat Free Mass ◽  
Elevated Protein ◽  
Resting Energy

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 < 0.05). REE was not different from REEp in the HP group, whereas REE was lower than REEp in the MP group (P < 0.05). Furthermore, EB was positively related to AT (rs = 0.74; P < 0.001) and RQ (rs = 0.47; P < 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.

scholarly journals Impact of Protein Intake during Weight Loss on Preservation of Fat-Free Mass, Resting Energy Expenditure, and Physical Function in Overweight Postmenopausal Women: A Randomized Controlled Trial

Obesity Facts ◽  
2021 ◽  
pp. 1-12
Author(s):  
Isabell Englert ◽  
Anja Bosy-Westphal ◽  
Stephan C. Bischoff ◽  
Kathrin Kohlenberg-Müller
Keyword(s):  
Weight Loss ◽  
Energy Expenditure ◽  
Physical Function ◽  
Postmenopausal Women ◽  
Protein Intake ◽  
Resting Energy Expenditure ◽  
Fat Free Mass ◽  
The Impact ◽  
Resting Energy

<b><i>Introduction:</i></b> Weight loss in old age increases the risk of sarcopenia caused by the age-related reduction of fat-free mass (FFM). Due to the strong correlation between FFM and resting energy expenditure (REE), the maintenance of this must also be considered. Besides, the physical function (PF) must be maintained. <b><i>Objective:</i></b> The impact of protein intake on changes in FFM, REE, and PF during weight loss in overweight postmenopausal women was investigated. <b><i>Methods:</i></b> Fifty-four postmenopausal women (BMI 30.9 ± 3.4; age 59 ± 7 years) were randomized into 2 groups receiving energy-restricted diets with either 0.8 g (normal protein; NP) or 1.5 g protein/kg body weight (high protein; HP) for 12 weeks, followed by a 6-month follow-up phase with an ad libitum food intake. FFM, REE, and PF (strength, endurance, and balance) were measured at baseline, after weight loss, and after follow-up. <b><i>Results:</i></b> Forty-six women completed the weight loss intervention and 29 were followed up. The weight loss was –4.6 ± 3.6 kg (HP) and –5.2 ± 3.4 kg (NP; both <i>p</i> &#x3c; 0.001) and the weight regain during follow-up was 1.3 ± 2.8 kg (HP; <i>p</i> = 0.03) and 0.4 ± 2.5 kg (NP; <i>p</i> = 0.39), with no differences between groups. Similar decreases in FFM (–0.9 ± 1.1 [HP] vs. –1.0 ± 1.3 kg [NP]) and REE (–862 ± 569 [HP] vs. –1,000 ± 561 kJ [NP]; both <i>p</i> &#x3c; 0.001) were observed in both groups. During follow-up, no changes in FFM were detected in either group, whereas in the NP group the REE increased again (+138 ± 296; <i>p</i> = 0.02). The main determinants of FFM loss were the energy deficit and the speed of weight loss. In the NP group, the Short Physical Performance Battery score improved with weight loss (+0.6 ± 0.8; <i>p</i> &#x3c; 0.001) and handgrip strength decreased (–1.7 ± 3.4 kg; <i>p</i> &#x3c; 0.001), whereas no changes were observed in the HP group. <b><i>Conclusions:</i></b> An HP weight-loss diet without exercise had no impact on preservation of FFM and REE but may help to maintain muscle strength in postmenopausal women.

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 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

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 Effect of green tea on resting energy expenditure and substrate oxidation during weight loss in overweight females

2005 ◽  
Vol 94 (6) ◽  
pp. 1026-1034 ◽  
Author(s):  
Kristel Diepvens ◽  
Eva M. R. Kovacs ◽  
Ilse M. T. Nijs ◽  
Neeltje Vogels ◽  
Margriet S. Westerterp-Plantenga
Keyword(s):  
Body Weight ◽  
Energy Expenditure ◽  
Green Tea ◽  
Fat Mass ◽  
Resting Energy Expenditure ◽  
Substrate Oxidation ◽  
Fat Free Mass ◽  
Caffeine Intake ◽  
Over Time ◽  
Resting Energy

We assessed the effect of ingestion of green tea (GT) extract along with a low-energy diet (LED) on resting energy expenditure (REE), substrate oxidation and body weight as GT has been shown to increase energy expenditure and fat oxidation in the short term in both animals and people. Forty-six overweight women (BMI 27·6 (sd 1·8) kg/m2) were fed in energy balance from day 1 to day 3, followed by a LED with GT (1125 mg tea catechins +225 mg caffeine/d) or placebo (PLAC) from day 4 to day 87. Caffeine intake was standardised to 300 mg/d. Energy expenditure was measured on days 4 and 32. Reductions in weight (4·19 (sd 2·0) kg PLAC, 4·21 (sd 2·7) kg GT), BMI, waist:hip ratio, fat mass and fat-free mass were not statistically different between treatments. REE as a function of fat-free mass and fat mass was significantly reduced over 32 d in the PLAC group (P<0·05) but not in the GT group. Dietary restraint increased over time (P<0·001) in both groups, whereas disinhibition and general hunger decreased (P<0·05). The GT group became more hungry over time and less thirsty, and showed increased prospective food consumption compared with PLAC (P<0·05). Taken together, the ingestion of GT along with a LED had no additional benefit for any measures of body weight or body composition. Although the decrease in REE as a function of fat-free mass and fat mass was not significant with GT treatment, whereas it was with PLAC treatment, no significant effect of treatment over time was seen, suggesting that a robust limitation of REE reduction during a LED was not achieved by GT.

Novel Equations to Estimate Resting Energy Expenditure during Sitting and Sleeping

2021 ◽  
pp. 1-9
Author(s):  
Akiko Uchizawa ◽  
Masanobu Hibi ◽  
Hiroyuki Sagayama ◽  
Simeng Zhang ◽  
Haruka Osumi ◽  
...  
Keyword(s):  
Body Composition ◽  
Body Weight ◽  
Energy Expenditure ◽  
Resting Energy Expenditure ◽  
Individual Characteristics ◽  
The Body ◽  
Fat Free Mass ◽  
Middle Aged ◽  
Metabolic Chamber ◽  
Resting Energy

<b><i>Introduction:</i></b> Young and early middle-aged office workers spend most of the day sitting or sleeping. Few studies have used a metabolic chamber to report sitting resting energy expenditure (REE) or sleeping metabolic rate (SMR) estimation equations. This study aimed to develop novel equations for estimating sitting REE and SMR, and previously published equations for SMR were compared against measured values. <b><i>Methods:</i></b> The relationships among sitting REE, SMR, and body composition measured in clinical trials were analyzed. The body composition (fat-free mass [FFM] and fat mass) and energy metabolism of 85 healthy young and early middle-aged Japanese individuals were measured using dual-energy X-ray absorptiometry and a metabolic chamber, respectively. Novel estimate equations were developed using stepwise multiple regression analysis. Estimates of SMR using a new equation and 2 published equations were compared against measured SMR. <b><i>Results:</i></b> The sitting mREE and mSMR were highly correlated (<i>r</i> = 0.756, <i>p</i> &#x3c; 0.01). The new FFM-based estimate accounted for 50.4% of the variance in measured sitting REE (mREE) and 82.3% of the variance in measured SMR (mSMR). The new body weight-based estimate accounted for 49.3% of the variance in sitting mREE and 82.2% of the variance in mSMR. Compared with mSMR, the SMR estimate using an FFM-based published equation was slightly underestimated. <b><i>Conclusion:</i></b> These novel body weight- and FFM-based equations may help estimate sitting REE and SMR in young and early middle-aged adults. Previous SMR estimated FFM-based equations were slightly underestimated against measured SMR; however, we confirmed the previous SMR estimate equations could be useful. This finding suggests that sitting REE and SMR can be easily estimated from individual characteristics and applied in clinical settings.

scholarly journals A Prediction Equation to Assess Resting Energy Expenditure in Japanese Patients with COPD

2020 ◽  
Vol 9 (11) ◽  
pp. 3455
Author(s):  
Keisuke Morikawa ◽  
Kazuyuki Tabira ◽  
Hiroyuki Takemura ◽  
Shogo Inaba ◽  
Haruka Kusuki ◽  
...  
Keyword(s):  
Body Weight ◽  
Regression Analysis ◽  
Energy Expenditure ◽  
Linear Regression Analysis ◽  
Resting Energy Expenditure ◽  
Fat Free Mass ◽  
Stepwise Linear Regression Analysis ◽  
Stepwise Linear Regression ◽  
Copd Patients ◽  
Resting Energy

Background: Medical nutrition therapy is important in the management of chronic obstructive pulmonary disease (COPD) patients. Determination of resting energy expenditure is essential to define therapeutic goals for medical nutrition. Previous studies proposed the use of equations to predict resting energy expenditure. No prediction equation is currently available for the Japanese population. The objective of this study was to develop an equation to predict resting energy expenditure in Japanese chronic obstructive pulmonary disease patients. To this end, we investigated clinical variables that correlate with the resting energy expenditure. Methods: This study included 102 COPD patients admitted at the Matsusaka Municipal Hospital Respiratory Center. We measured resting energy expenditure by indirect calorimetry and explored the relationship of resting energy expenditure with clinical variables by univariate and stepwise linear regression analysis. Results: The resting energy expenditure by indirect calorimetry was significantly correlated with fat-free mass, body weight, body mass index, height, gender, and pulmonary function test by univariate analysis. In the stepwise linear regression analysis, the fat-free mass, body weight, and age remained significantly correlated with indirect calorimetry’s resting energy expenditure. The fat-free mass, body weight, and age explained 50.5% of the resting energy expenditure variation. Conclusion: Fat-free mass, body weight, and age were significantly correlated with resting energy expenditure by stepwise linear regression analysis, and they were used to define a predictive equation for Japanese COPD patients.

scholarly journals Resting energy expenditure adaptation after short-term caloric restriction in morbidly obese women

2015 ◽  
Vol 28 (5) ◽  
pp. 505-511 ◽  
Author(s):  
Andresa Toledo TRIFFONI-MELO ◽  
Vivian Marques Miguel SUEN ◽  
Cristina Maria Mendes RESENDE ◽  
Camila Bitu Moreno BRAGA ◽  
Rosa Wanda DIEZ-GARCIA
Keyword(s):  
Body Mass Index ◽  
Body Weight ◽  
Energy Expenditure ◽  
Resting Energy Expenditure ◽  
Substrate Oxidation ◽  
Fat Free Mass ◽  
Morbidly Obese ◽  
Obese Women ◽  
Short Term ◽  
Resting Energy

Objective:The objective of this study was to describe changes in the resting energy expenditure, substrate oxidation rate, and body composition in morbidly obese women subjected to short-term caloric restriction. Methods:This was a prospective study that included ten obese women with body mass index greater than 40 kg/m2 and aged between 20-50 years. The participants were hospitalized for eight days and received a controlled conventional low-calorie diet, 1200 kcal/day, for seven days. Body weight, body mass index, abdominal circumference, body composition, resting energy expenditure, and substrate oxidation rate were evaluated at the beginning and at the end of the study. Results:A significant reduction in body weight (p=0.005), body mass index (p=0.005), abdominal circumference (p=0.005), fat mass (p=0.005) and fat-free mass (p=0.008) was observed at the end of the study. There was an average reduction in resting energy expenditure of approximately 124 kcal/day (5%). Substrate oxidation rate did not show statistically significant changes. There was a positive correlation only between body weight reduction and fat-free mass reduction (r=0.753; p=0.012). Conclusion:There was an adaptive response of the resting energy expenditure with short-term energy restriction in morbidly obese women with a 5% reduction in resting energy expenditure and a positive correlation between weight loss and the fat-free mass, which indicates the influence of fat-free mass on the decrease in resting energy expenditure. Therefore, short-term caloric restriction in morbidly obese women led to a decrease in resting energy expenditure and fat-free mass, which suggests a rapid adaptation of energy expenditure.

Sign in / Sign up

Export Citation Format

Share Document