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.

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.

Prediction of resting energy expenditure from fat-free mass and fat mass

1992 ◽  
Vol 56 (5) ◽  
pp. 848-856 ◽  
Author(s):  
K M Nelson ◽  
R L Weinsier ◽  
C L Long ◽  
Y Schutz
Keyword(s):  
Energy Expenditure ◽  
Fat Mass ◽  
Resting Energy Expenditure ◽  
Fat Free Mass ◽  
Resting Energy

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 of Master Athletes: Accuracy of Predictive Equations and Primary Determinants

2021 ◽  
Vol 12 ◽  
Author(s):  
Petra Frings-Meuthen ◽  
Sara Henkel ◽  
Michael Boschmann ◽  
Philip D. Chilibeck ◽  
José Ramón Alvero Cruz ◽  
...  
Keyword(s):  
Physical Activity ◽  
Body Weight ◽  
General Population ◽  
Energy Expenditure ◽  
Ambient Temperature ◽  
Resting Energy Expenditure ◽  
Fat Free Mass ◽  
World Health ◽  
Master Athletes ◽  
Resting Energy

Resting energy expenditure (REE) is determined mainly by fat-free mass (FFM). FFM depends also on daily physical activity. REE normally decreases with increased age due to decreases in FFM and physical activity. Measuring REE is essential for estimating total energy expenditure. As such, there are a number of different equations in use to predict REE. In recent years, an increasing number of older adults continue to participate in competitive sports creating the surge of master athletes. It is currently unclear if these equations developed primarily for the general population are also valid for highly active, older master athletes. Therefore, we tested the validity of six commonly-used equations for predicting REE in master athletes. In conjunction with the World Masters Athletic Championship in Malaga, Spain, we measured REE in 113 master athletes by indirect calorimetry. The most commonly used equations to predict REE [Harris &amp; Benedict (H&amp;B), World Health Organization (WHO), Müller (MÜL), Müller-FFM (MÜL-FFM), Cunningham (CUN), and De Lorenzo (LOR)] were tested for their accuracies. The influences of age, sex, height, body weight, FFM, training hours per week, phase angle, ambient temperature, and athletic specialization on REE were determined. All estimated REEs for the general population differed significantly from the measured ones (H&amp;B, WHO, MÜL, MÜL-FFM, CUN, all p &lt; 0.005). The equation put forward by De Lorenzo provided the most accurate prediction of REE for master athletes, closely followed by FFM-based Cunningham’s equation. The accuracy of the remaining commonly-used prediction equations to estimate REE in master athletes are less accurate. Body weight (p &lt; 0.001), FFM (p &lt; 0.001), FM (p = 0.007), sex (p = 0.045) and interestingly temperature (p = 0.004) are the significant predictors of REE. We conclude that REE in master athletes is primarily determined by body composition and ambient temperature. Our study provides a first estimate of energy requirements for master athletes in order to cover adequately athletes’ energy and nutrient requirements to maintain their health status and physical performance.

Determinants of basal fat oxidation in healthy Caucasians

1996 ◽  
Vol 80 (5) ◽  
pp. 1743-1748 ◽  
Author(s):  
T. R. Nagy ◽  
M. I. Goran ◽  
R. L. Weinsier ◽  
M. J. Toth ◽  
Y. Schutz ◽  
...  
Keyword(s):  
Energy Expenditure ◽  
Fat Mass ◽  
Resting Energy Expenditure ◽  
Fat Oxidation ◽  
Fat Free Mass ◽  
Stepwise Multiple Regression ◽  
O2 Consumption ◽  
Food Diary ◽  
Adult Men ◽  
Resting Energy

In a retrospective study, we examined several determinants of basal fat oxidation in 720 healthy Caucasian volunteers. Adult men (n = 427) and women (n = 293) were characterized for resting energy expenditure and substrate oxidation by indirect calorimetry (after a 12-h overnight fast), peak O2 consumption by a treadmill test to exhaustion, body composition by hydrodensitometry, food intake from a 3-day food diary, and hormonal status by fasting hormone concentrations. Fat oxidation was negatively correlated with fat mass in men (r = -0.11; P < 0.05), but no statistical relationship was found in women. In a stepwise multiple regression analysis, fat oxidation was best predicted by peak O2 consumption and fat-free mass in men (model R2 = 0.142) and by free thyroxine, fat-free mass, and fasting insulin in women (model R2 = 0.153). Relative rates of fat oxidation (fat oxidation adjusted for differences in resting energy expenditure) were not correlated with fat mass in either gender. Women showed a lower rate of basal fat oxidation (both absolute and adjusted) than did men. Our results show that fat oxidation is not greater in individuals with a greater fat mass. Furthermore, our results support a sexual dimorphism in basal rates of fat oxidation.

scholarly journals Plasma Concentration of Total Leptin and Human Lung-Cancer-Associated Cachexia

1997 ◽  
Vol 93 (3) ◽  
pp. 273-277 ◽  
Author(s):  
Jean Paul F.H.A. Simons ◽  
Annemie M.W.J. Schols ◽  
L. Arthur Campfield ◽  
Emiel F.M. Wouters ◽  
Wim H. Saris
Keyword(s):  
Lung Cancer ◽  
Energy Expenditure ◽  
Fat Mass ◽  
Resting Energy Expenditure ◽  
High Plasma ◽  
Feedback Mechanism ◽  
Fat Free Mass ◽  
Human Lung Cancer ◽  
Plasma Leptin ◽  
Resting Energy

1. Adipocyte-derived leptin is postulated to represent the afferent hormonal signal to the hypothalamus in a feedback mechanism that regulates fat mass. In this proposed feedback mechanism, increased fat mass leads to an elevated plasma leptin level that eventually induces a decrease in appetite and an increase in energy expenditure, and vice versa. 2. As anorexia and hypermetabolism play a role in the development of cancer cachexia, we investigated the hypothesis that underlying abnormalities in the leptin feedback mechanism (in particular relatively high plasma leptin levels or, on the other hand, a hypothalamic insensitivity to a fall in leptin levels) might be involved. For this purpose, total plasma leptin, body composition (fat mass and fat-free mass), appetite and resting energy expenditure were assessed in 21 male lung-cancer patients. 3. Total leptin was detectable in six patients and non-detectable in 15. In comparison with the latter, the patients with detectable leptin were characterized by a trend towards less weight loss (3.4% compared with 11.0%, P = 0.07), as being less underweight (body mass index 23.8 kg/m2 compared with 19.4 kg/m2, P = 0.004) and by a higher fat mass (21.4 kg compared with 9.7 kg, P = 0.001). Significant between-group differences in appetite and resting energy expenditure were lacking. 4. Based on these findings, we conclude that in cancer the afferent part of the leptin feedback mechanism functions normally and that, in particular, elevated leptin levels are not involved in the development of cachexia. Since the absence of plasma leptin was not associated with an increased appetite and decreased energy expenditure, disturbances in the hypothalamic part of the feedback mechanism are hypothesized.

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