scholarly journals Metabolic Slowing with Massive Weight Loss despite Preservation of Fat-Free Mass

2012 ◽  
Vol 97 (7) ◽  
pp. 2489-2496 ◽  
Author(s):  
Darcy L. Johannsen ◽  
Nicolas D. Knuth ◽  
Robert Huizenga ◽  
Jennifer C. Rood ◽  
Eric Ravussin ◽  
...  
Keyword(s):  
Physical Activity ◽  
Weight Loss ◽  
Energy Expenditure ◽  
Metabolic Rate ◽  
Body Mass ◽  
Weight Maintenance ◽  
Massive Weight Loss ◽  
Fat Free Mass ◽  
Metabolic Adaptation ◽  
Vigorous Exercise

Abstract Context: An important goal during weight loss is to maximize fat loss while preserving metabolically active fat-free mass (FFM). Massive weight loss typically results in substantial loss of FFM potentially slowing metabolic rate. Objective: Our objective was to determine whether a weight loss program consisting of diet restriction and vigorous exercise helped to preserve FFM and maintain resting metabolic rate (RMR). Participants and Intervention: We measured body composition by dual-energy x-ray absorptiometry, RMR by indirect calorimetry, and total energy expenditure by doubly labeled water at baseline (n = 16), wk 6 (n = 11), and wk 30 (n = 16). Results: At baseline, participants were severely obese (×± sd; body mass index 49.4 ± 9.4 kg/m2) with 49 ± 5% body fat. At wk 30, more than one third of initial body weight was lost (−38 ± 9%) and consisted of 17 ± 8% from FFM and 83 ± 8% from fat. RMR declined out of proportion to the decrease in body mass, demonstrating a substantial metabolic adaptation (−244 ± 231 and −504 ± 171 kcal/d at wk 6 and 30, respectively, P < 0.01). Energy expenditure attributed to physical activity increased by 10.2 ± 5.1 kcal/kg·d at wk 6 and 6.0 ± 4.1 kcal/kg·d at wk 30 (P < 0.001 vs. zero). Conclusions: Despite relative preservation of FFM, exercise did not prevent dramatic slowing of resting metabolism out of proportion to weight loss. This metabolic adaptation may persist during weight maintenance and predispose to weight regain unless high levels of physical activity or caloric restriction are maintained.

scholarly journals Metabolic Adaptations to Weight Loss: Relative Changes in Resting Metabolic Rate and Energy Expenditure for Physical Activity and Association With Weight Loss Maintenance

2021 ◽  
Vol 5 (Supplement_2) ◽  
pp. 526-526
Author(s):  
Rachel Silver ◽  
Sai Das ◽  
Michael Lowe ◽  
Susan Roberts
Keyword(s):  
Physical Activity ◽  
Weight Loss ◽  
Linear Regression ◽  
Energy Expenditure ◽  
Metabolic Rate ◽  
Fat Mass ◽  
Weight Regain ◽  
Resting Metabolic Rate ◽  
Fat Free Mass ◽  
The Mean

Abstract Objectives There is persistent controversy over the extent to which different components of energy expenditure disproportionately decrease after weight loss and contribute to weight regain through decreased energy requirements. We conducted a secondary analysis of the CALERIE I study to test the hypothesis that decreased resting metabolic rate (RMR) and energy expenditure for physical activity (EEPA) after a 6-month calorie restriction intervention would predict weight regain at 12 months, with a greater decrease in RMR than EEPA. Methods Participants (n = 46) received all food and energy-containing beverages for 6 months. Outcome measures included total energy expenditure by doubly labeled water, RMR by indirect calorimetry, and body composition by BOD POD. Predictions for RMR and EEPA were derived from baseline linear regression models including age, sex, fat mass, and fat free mass. Baseline regression coefficients were used to calculate the predicted RMR and EEPA at 6 months. Residuals were calculated as the difference between measured and predicted values and were adjusted for body weight. The presence of metabolic adaptation was evaluated by a paired t-test comparing measured and predicted RMR at 6 months. Differences between 6-month RMR and EEPA residuals were evaluated by the same method. Linear regression was used to assess the association between 6-month residuals and weight loss maintenance (% weight change, 6 to 12 months). Results Mean weight loss was 6.9% at 6 months with 2.1% regain from 6 to 12 months. No adaptation in RMR was observed at 6 months (mean residual: 19 kcal; 95% confidence interval: −9, 48; P = 0.18). However, significant adaptation was observed in EEPA (mean residual: −199 kcal; −126, −272; P < 0.0001). In addition, the mean 6-month RMR residual was significantly greater than the mean 6-month EEPA residual (218 kcal; 133, 304; P < 0.0001). There was no significant association between 6-month RMR or EEPA residuals and weight regain at 12 months (P = 0.56, 0.34). Conclusions There was no measurable decrease in RMR with weight loss after adjusting for changes in fat free mass and fat mass, but there was a decrease in EEPA. Changes in RMR and EEPA with weight loss over 6 months did not predict weight regain at 12 months. Funding Sources Jean Mayer USDA Human Nutrition Research Center on Aging Doctoral Scholarship; USDA agreement #8050–51000-105–01S

scholarly journals Resting metabolic rate, fat-free mass and catecholamine excretion during weight loss in female obese patients

2000 ◽  
Vol 84 (4) ◽  
pp. 515-520 ◽  
Author(s):  
R. Menozzi ◽  
M. Bondi ◽  
A. Baldini ◽  
M. G. Venneri ◽  
A. Velardo ◽  
...  
Keyword(s):  
Weight Loss ◽  
Metabolic Rate ◽  
Urinary Excretion ◽  
Weight Maintenance ◽  
Resting Metabolic Rate ◽  
Fat Free Mass ◽  
Metabolic Adaptation ◽  
Obese Patients ◽  
Maintenance Period ◽  
Sympathoadrenal System

The reduction in resting metabolic rate (RMR) during weight loss exceeds that accounted for by changes in body composition by 15%, suggesting that factors other than fat-free mass (FFM) explain the metabolic adaptation during food restriction in obesity. Our study aimed to establish if changes in the sympathoadrenal system activity, as inferred from an integrated measure such as 24 h urinary excretion of catecholamines, may play a role in the RMR adaptation observed during dietary restriction in obese patients. Ninety-three obese female subjects consumed a low-energy diet (LED) (2930 kJ/d (700 kcal/d)) for a 3-week period. At the beginning and at the end of the study, 24 h urinary excretion of catecholamines, FFM and RMR were measured. The LED induced a significant reduction in body weight (-3·3 (SEM 0·4) KG; P < 0·01), FFM (-1·9 (sem 0·7) kg; P < 0·01) and in the fat mass (-1·2 (sem 0·5) kg; P < 0·01). Noradrenalin excretion (24 h) decreased during the LED from 264 (sem 26) during a weight-maintenance period to 171 (sem 19) nmol/24 h after consumption of the LED for 3 weeks (P < 0·001); mean 24 h adrenalin excretion did not change during the LED (22 (sem 3) during the weight-maintenance period v. 21 (sem 3) nmol/24 h after consumption of the LED for 3 weeks; NS). The LED induced a significant decrease in RMR (7300 (sem 218) v. 6831 (sem 138) kJ/24 h; P < 0·001). The only independent variable that significantly explained variations in RMR both before and after consumption of the LED for 3 weeks, was FFM (r2 0·79 and r2 0·80 respectively). Urinary noradrenalin excretion explained a further 4 % of the variability in RMR, but only before the diet, so that a role of sympathoadrenal system on RMR seems to be present in obese patients in basal conditions but not at the end of the LED.

Effect of endurance training on sedentary energy expenditure measured in a respiratory chamber

1991 ◽  
Vol 260 (2) ◽  
pp. E257-E261 ◽  
Author(s):  
L. O. Schulz ◽  
B. L. Nyomba ◽  
S. Alger ◽  
T. E. Anderson ◽  
E. Ravussin
Keyword(s):  
Physical Activity ◽  
Energy Expenditure ◽  
Metabolic Rate ◽  
Endurance Training ◽  
Weight Maintenance ◽  
Fat Free Mass ◽  
Maximal Aerobic Capacity ◽  
Fitness Level ◽  
Respiratory Chamber ◽  
Effect Of Food

The effect of endurance training on 24-h energy expenditure (EE), basal metabolic rate (BMR), sleeping metabolic rate (SMR), and the thermic effect of food (TEF) was assessed in a respiratory chamber where only spontaneous physical activity (SPA) was allowed. Results from 20 highly trained male endurance athletes (25 +/- 5 yr, 178 +/- 7 cm, 70 +/- 8 kg body wt, 64 +/- 7 kg fat-free mass) were compared with those of 43 untrained males who were matched for age (28 +/- 6 yr), height (175 +/- 5 cm), weight (73 +/- 13 kg), and fat-free mass (62 +/- 8 kg). Subjects were admitted to a metabolic ward, fed a weight-maintenance diet, and refrained from physical activity for at least 2 days before measurements. No significant differences were found with respect to 24-h EE (2,126 +/- 186 vs. 2,154 +/- 245 kcal), BMR (1,808 +/- 342 vs. 1,709 +/- 329 kcal), SMR (1,523 +/- 120 vs. 1,555 +/- 188 kcal), or TEF (24.9 +/- 9.2 vs. 21.3 +/- 6.7% of ingested calories; these values included the energy cost of arousal) between trained and untrained subjects, respectively, before or after adjusting for differences in body composition. Neither the 24-h respiratory quotient nor the level of SPA differed between the two groups. No relationship was found between maximal aerobic capacity and metabolic rate adjusted for differences in fat-free mass and fat mass. These results do not support an effect of fitness level on EE measured under sedentary conditions.(ABSTRACT TRUNCATED AT 250 WORDS)

scholarly journals Session 3 (Joint with the British Dietetic Association): Management of obesity Weight-loss interventions in the treatment of obesity

2009 ◽  
Vol 69 (1) ◽  
pp. 34-38 ◽  
Author(s):  
C. R. Hankey
Keyword(s):  
Physical Activity ◽  
Weight Loss ◽  
Energy Expenditure ◽  
Energy Intake ◽  
Weight Maintenance ◽  
Dietary Advice ◽  
Excess Body Weight ◽  
Lifestyle Interventions ◽  
Post Intervention ◽  
Weight Losses

Treatments to induce weight loss for the obese patient centre on the achievement of negative energy balance. This objective can theoretically be attained by interventions designed to achieve a reduction in energy intake and/or an increase in energy expenditure. Such ‘lifestyle interventions’ usually comprise one or more of the following strategies: dietary modification; behaviour change; increases in physical activity. These interventions are advocated as first treatment steps in algorithms recommended by current clinical obesity guidelines. Medication and surgical treatments are potentially available to those unable to implement ‘lifestyle interventions’ effectively by achieving losses of between 5 kg and 10 kg. It is accepted that the minimum of 5% weight loss is required to achieve clinically-meaningful benefits. Dietary treatments differ widely. Successful weight loss is most often associated with quantification of energy intake rather than macronutrient composition. Most dietary intervention studies secure a weight loss of between 5 kg and 10 kg after intervention for 6 months, with gradual weight regain at 1 year where weight changes are 3–4 kg below the starting weight. Some dietary interventions when evaluated at 2 and 4 years post intervention report the effects of weight maintenance rather than weight loss. Specific anti-obesity medications are effective adjuncts to weight loss, in most cases doubling the weight loss of those given dietary advice only. Greater physical activity alone increases energy expenditure by insufficient amounts to facilitate clinically-important weight losses, but is useful for weight maintenance. Weight losses of between half and three-quarters of excess body weight are seen at 10 years post intervention with bariatric surgery, making this arguably the most effective weight-loss treatment.

Energy Balance and Energy Availability During a Selection Course for Belgian Paratroopers

2021 ◽  
Author(s):  
Patrick Mullie ◽  
Pieter Maes ◽  
Laurens van Veelen ◽  
Damien Van Tiggelen ◽  
Peter Clarys
Keyword(s):  
Physical Activity ◽  
Energy Balance ◽  
Energy Expenditure ◽  
Metabolic Rate ◽  
Energy Intake ◽  
Rest Metabolic Rate ◽  
Negative Energy ◽  
Fat Free Mass ◽  
Negative Energy Balance ◽  
Energy Availability

ABSTRACT Introduction Adequate energy supply is a prerequisite for optimal performances and recovery. The aims of the present study were to estimate energy balance and energy availability during a selection course for Belgian paratroopers. Methods Energy expenditure by physical activity was measured with accelerometer (ActiGraph GT3X+, ActiGraph LLC, Pensacola, FL, USA) and rest metabolic rate in Cal.d−1 with Tinsley et al.’s equation based on fat-free mass = 25.9 × fat-free mass in kg + 284. Participants had only access to the French individual combat rations of 3,600 Cal.d−1, and body fat mass was measured with quadripolar impedance (Omron BF508, Omron, Osaka, Japan). Energy availability was calculated by the formula: ([energy intake in foods and beverages] − [energy expenditure physical activity])/kg FFM−1.d−1, with FFM = fat-free mass. Results Mean (SD) age of the 35 participants was 25.1 (4.18) years, and mean (SD) percentage fat mass was 12.0% (3.82). Mean (SD) total energy expenditure, i.e., the sum of rest metabolic rate, dietary-induced thermogenesis, and physical activity, was 5,262 Cal.d−1 (621.2), with percentile 25 at 4,791 Cal.d−1 and percentile 75 at 5,647 Cal.d−1, a difference of 856 Cal.d−1. Mean daily energy intake was 3,600 Cal.d−1, giving a negative energy balance of 1,662 (621.2) Cal.d−1. Mean energy availability was 9.3 Cal.kg FFM−1.d−1. Eleven of the 35 participants performed with a negative energy balance of 2,000 Cal.d−1, and only five participants out of 35 participants performed at a less than 1,000 Cal.d−1 negative energy balance level. Conclusions Energy intake is not optimal as indicated by the negative energy balance and the low energy availability, which means that the participants to this selection course had to perform in suboptimal conditions.

scholarly journals Influence of body composition on physical activity validation studies using doubly labeled water

2004 ◽  
Vol 96 (4) ◽  
pp. 1357-1364 ◽  
Author(s):  
Louise C. Mâsse ◽  
Janet E. Fulton ◽  
Kathleen L. Watson ◽  
Matthew T. Mahar ◽  
Michael C. Meyers ◽  
...  
Keyword(s):  
Physical Activity ◽  
Body Composition ◽  
Energy Expenditure ◽  
Body Mass ◽  
Resting Metabolic Rate ◽  
Fat Free Mass ◽  
Doubly Labeled Water ◽  
Comparison Analysis ◽  
Methods Comparison ◽  
Statistical Procedures

This study investigated the influence of two approaches (mathematical transformation and statistical procedures), used to account for body composition [body mass or fat-free mass (FFM)], on associations between two measures of physical activity and energy expenditure determined by doubly labeled water (DLW). Complete data for these analyses were available for 136 African American (44.1%) and Hispanic (55.9%) women (mean age 50 ± 7.3 yr). Total energy expenditure (TEE) by DLW was measured over 14 days. Physical activity energy expenditure (PAEE) was computed as 0.90 × TEE - resting metabolic rate. During week 2, participants wore an accelerometer for 7 consecutive days and completed a 7-day diary. Pearson's product-moment correlations and three statistical procedures (multiple regressions, partial correlations, and allometric scaling) were used to assess the effect of body composition on associations. The methods-comparison analysis was used to study the effect of body composition on agreement. The statistical procedures demonstrated that associations improved when body composition was included in the model. The accelerometer explained a small but meaningful portion of the variance in TEE and PAEE after body mass was accounted for. The methods-comparison analysis confirmed that agreement with DLW was affected by the transformation. Agreement between the diary (transformed with body mass) and TEE reflected the association that exists between body mass and TEE. These results suggest that the accelerometer and diary accounted for a small portion of TEE and PAEE. Most of the variance in DLW-measured energy expenditure was explained by body mass or FFM.

scholarly journals Dietary Intake and Energy Expenditure in Breast Cancer Survivors: A Review

Nutrients ◽  
2021 ◽  
Vol 13 (10) ◽  
pp. 3394
Author(s):  
Sarah A. Purcell ◽  
Ryan J. Marker ◽  
Marc-Andre Cornier ◽  
Edward L. Melanson
Keyword(s):  
Breast Cancer ◽  
Physical Activity ◽  
Energy Balance ◽  
Energy Expenditure ◽  
Dietary Intake ◽  
Metabolic Rate ◽  
Cancer Survivors ◽  
Breast Cancer Survivors ◽  
Resting Metabolic Rate ◽  
Fat Free Mass

Many breast cancer survivors (BCS) gain fat mass and lose fat-free mass during treatment (chemotherapy, radiation, surgery) and estrogen suppression therapy, which increases the risk of developing comorbidities. Whether these body composition alterations are a result of changes in dietary intake, energy expenditure, or both is unclear. Thus, we reviewed studies that have measured components of energy balance in BCS who have completed treatment. Longitudinal studies suggest that BCS reduce self-reported energy intake and increase fruit and vegetable consumption. Although some evidence suggests that resting metabolic rate is higher in BCS than in age-matched controls, no study has measured total daily energy expenditure (TDEE) in this population. Whether physical activity levels are altered in BCS is unclear, but evidence suggests that light-intensity physical activity is lower in BCS compared to age-matched controls. We also discuss the mechanisms through which estrogen suppression may impact energy balance and develop a theoretical framework of dietary intake and TDEE interactions in BCS. Preclinical and human experimental studies indicate that estrogen suppression likely elicits increased energy intake and decreased TDEE, although this has not been systematically investigated in BCS specifically. Estrogen suppression may modulate energy balance via alterations in appetite, fat-free mass, resting metabolic rate, and physical activity. There are several potential areas for future mechanistic energetic research in BCS (e.g., characterizing predictors of intervention response, appetite, dynamic changes in energy balance, and differences in cancer sub-types) that would ultimately support the development of more targeted and personalized behavioral interventions.

scholarly journals Effects of different types of training on weight loss

2019 ◽  
Vol 72 (9-10) ◽  
pp. 272-279
Author(s):  
Danijel Slavic ◽  
Dea Karaba-Jakovljevic ◽  
Andrea Zubnar ◽  
Borislav Tapavicki ◽  
Tijana Aleksandric ◽  
...  
Keyword(s):  
Energy Expenditure ◽  
Metabolic Rate ◽  
Body Mass ◽  
Resting Metabolic Rate ◽  
Young Male ◽  
Fat Free Mass ◽  
Daily Energy Expenditure ◽  
Total Body Mass ◽  
Daily Energy ◽  
Different Types

Introduction. The difference between 24-hour daily energy intake and total daily energy expenditure determines whether we lose or gain weight. The resting metabolic rate is the major component of daily energy expenditure, which depends on many different factors, but also on the level of physical activity. The aim of the study was to determine anthropometric and metabolic parameters of athletes engaged in different types of training, to compare obtained results and to examine whether there are statistically significant differences among them. Material and Methods. The study included a total of 42 young male athletes divided into two groups. The first group included 21 athletes who were predominantly engaged in aerobic type of training, and the other group of 21 athletes in anaerobic type of training. Anthropometric measurements were taken and resting metabolic rate was assessed using the indirect calorimetry method. The results were statistically analyzed and the differences in parameters between the two groups were compared. Results. Statistically significant differences were established in total body mass, amount of fat-free mass and muscle mass, body mass index, as well as in the relative metabolic indices between two groups of subjects. Conclusion. The percentage of fat-free body mass has the greatest impact on the resting metabolic rate. The rate of metabolic activity of this body compartment is higher in athletes engaged in aerobic than in athletes engaged in anaerobic type of training.

scholarly journals Objectively-measured physical activity patterns and longitudinal weight category status in a rural setting

2019 ◽  
Author(s):  
Ian Cook
Keyword(s):  
Physical Activity ◽  
Weight Loss ◽  
Weight Gain ◽  
Energy Expenditure ◽  
Body Mass ◽  
Weight Change ◽  
Rural Setting ◽  
Stable Group ◽  
Objectively Measured ◽  
Objectively Measured Physical Activity

Abstract Objectives To investigate the relationship between longitudinal weight-change and objectively-measured physical activity in a rural African setting in 143 adults, using data from two cross-sectional surveys, separated by approximately ten years. Participants who had data for age, sex, body mass and stature measured in two health surveys were categorised into three weight-change groups (Weight-loss: ≥25 kg.m-2→<25 kg.m-2; Weight-gain: <25 kg.m-2→≥25 kg.m-2; Weight-stability: remained <25 kg.m-2 or ≥25 kg.m-2). Daily ambulation and energy expenditure, measured in the 2005-7 health survey, was examined across the weight change groups. Using the daily energy expenditure data, the proportion of those in the weight-change groups, meeting or not meeting two physical activity guidelines (150- and 420 min.wk-1), was examined. Results Weight-change was found in 18.2% of the sample. There was no significant overall body mass change (+1.2 kg, p=0.1616). However, there was significant change in body mass in the weight-gain (+15.2 kg) and weight-loss (-10.8 kg) groups (p≤0.0011). Nearly 90% of those who gained weight met the 150 min.wk-1 guideline. A significantly greater proportion of the weight-stable group (<25 kg.m-2) met the 420 min.wk-1 guideline (p<0.05). Ambulatory level was high irrespective of weight group, although the weight-stable group (<25 kg.m-2) approached 15 000 steps.day-1.

scholarly journals Increasing Energy Flux to Maintain Diet-Induced Weight Loss

Nutrients ◽  
2019 ◽  
Vol 11 (10) ◽  
pp. 2533 ◽  
Author(s):  
Christopher L. Melby ◽  
Hunter L. Paris ◽  
R. Drew Sayer ◽  
Christopher Bell ◽  
James O. Hill
Keyword(s):  
Physical Activity ◽  
Weight Loss ◽  
Body Weight ◽  
Energy Balance ◽  
Energy Expenditure ◽  
Energy Flux ◽  
Weight Maintenance ◽  
High Energy ◽  
Daily Energy

Long-term maintenance of weight loss requires sustained energy balance at the reduced body weight. This could be attained by coupling low total daily energy intake (TDEI) with low total daily energy expenditure (TDEE; low energy flux), or by pairing high TDEI with high TDEE (high energy flux). Within an environment characterized by high energy dense food and a lack of need for movement, it may be particularly difficult for weight-reduced individuals to maintain energy balance in a low flux state. Most of these individuals will increase body mass due to an inability to sustain the necessary level of food restriction. This increase in TDEI may lead to the re-establishment of high energy flux at or near the original body weight. We propose that following weight loss, increasing physical activity can effectively re-establish a state of high energy flux without significant weight regain. Although the effect of extremely high levels of physical activity on TDEE may be constrained by compensatory reductions in non-activity energy expenditure, moderate increases following weight loss may elevate energy flux and encourage physiological adaptations favorable to weight loss maintenance, including better appetite regulation. It may be time to recognize that few individuals are able to re-establish energy balance at a lower body weight without permanent increases in physical activity. Accordingly, there is an urgent need for more research to better understand the role of energy flux in long-term weight maintenance.

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