scholarly journals Is resting metabolic rate different between men and women?

2001 ◽  
Vol 86 (6) ◽  
pp. 641-646 ◽  
Author(s):  
Andrea C. Buchholz ◽  
M. Rafii ◽  
P. B. Pencharz
Keyword(s):  
Metabolic Rate ◽  
Body Fat ◽  
Fat Mass ◽  
Resting Metabolic Rate ◽  
Cell Mass ◽  
Open Circuit ◽  
Men And Women ◽  
Adult Men ◽  
Total Body ◽  
Composition Factors

A low resting metabolic rate (RMR) has been proposed as a possible cause for the increased body fat commonly seen in women compared with men. Absolute RMR is higher in men, but whether RMR adjusted for lean body mass (LBM) remains higher is unresolved. The objective of the present study was to determine whether RMR adjusted for various body composition factors differed between healthy adult men and women. Thirty men (28·3±8·0 years, BMI 23·7±2·1 kg/m2) and twenty-eight women (28·7±6·9 years, BMI 22·2±1·9 kg/m2) were included in the analyses. RMR was measured by open-circuit indirect calorimetry for 60 min. Extracellular water (ECW) was measured by corrected Br- space and total body water (TBW) by 2H dilution. LBM was estimated as TBW/0·732. Intracellular water (ICW) was calculated as TBW-ECW, and body cell mass (BCM) as ICW/0·732. Men were heavier and had higher BMI, LBM, BCM and ECW, but less fat mass. Absolute RMR was higher in men than women (7280±844 v. 5485±537 kJ/d, P<0·0001). This difference became non-significant when RMR was adjusted for LBM by ANCOVA (6536±630 v. 6282±641 kJ/d, P=0·2191), but remained significant when adjusted for BCM (6680±744 v. 6128±756 kJ/d, P=0·0249). Fat mass explained a significant amount of variation in RMR in women (r2 0·28, P=0·0038), but not in men (r2 0·03, P=0·3301). The relationships between body fat and the various subcompartments of BCM and RMR require further elucidation.

Resting Metabolic Rate and Percent Body Fat in Healthy Adult Men and Women

2014 ◽  
Vol 46 ◽  
pp. 490-491
Author(s):  
Jesus Soares ◽  
Carl J. Caspersen ◽  
Robert G. McMurray ◽  
Thomas R. McCurdy
Keyword(s):  
Metabolic Rate ◽  
Body Fat ◽  
Healthy Adult ◽  
Resting Metabolic Rate ◽  
Percent Body Fat ◽  
Men And Women ◽  
Adult Men

Impact of body fat mass and percent fat on metabolic rate and thermogenesis in men

1989 ◽  
Vol 256 (5) ◽  
pp. E573-E579 ◽  
Author(s):  
K. R. Segal ◽  
I. Lacayanga ◽  
A. Dunaif ◽  
B. Gutin ◽  
F. X. Pi-Sunyer
Keyword(s):  
Metabolic Rate ◽  
Body Fat ◽  
Fat Mass ◽  
Resting Metabolic Rate ◽  
Fat Free Mass ◽  
Body Fat Mass ◽  
Thermic Effect Of Food ◽  
Group A ◽  
Effect Of Food ◽  
Thermic Effect

To clarify further the independent relationships of body composition parameters to energy expenditure, resting metabolic rate (RMR) and postprandial thermogenesis were studied in four groups who were matched for absolute fat mass (study 1) and relative fatness (study 2). In study 1, five lean [group A, 15.4 +/- 0.6% (+/- SE) body fat] and five obese men (group B, 25.0 +/- 0.9% fat) were matched on body fat mass (13.0 +/- 0.9 vs. 14.4 +/- 0.8 kg, respectively). Fat-free mass (FFM) and total weight were greater for group A than B. RMR was measured for 3 h in the fasted state and after a 720-kcal mixed meal. RMR was greater for group A than B (1.38 +/- 0.08 vs. 1.14 +/- 0.04 kcal/min, P less than 0.05). The thermic effect of food, calculated as 3 h postprandial minus fasting RMR, was greater for group A than B (65 +/- 6 vs. 23 +/- 9 kcal/3 h; P less than 0.05). In study 2, two groups (n = 6 men/group) were matched for percent body fat (33 +/- 1% fat for both) but differed in lean, fat, and total weights: 50.8 +/- 3.1 kg FFM for the lighter (group C) vs. 68.0 +/- 2.8 kg FFM for the heavier (group D) group, P less than 0.05. RMR was lower for group C than D (1.17 +/- 0.06 vs. 1.33 +/- 0.04 kcal/min, P less than 0.05), but the thermic effect of food was not significantly different (31 +/- 3 vs. 20 +/- 6 kcal/3 h).(ABSTRACT TRUNCATED AT 250 WORDS)

scholarly journals Computational model of in vivo human energy metabolism during semistarvation and refeeding

2006 ◽  
Vol 291 (1) ◽  
pp. E23-E37 ◽  
Author(s):  
Kevin D. Hall
Keyword(s):  
Body Weight ◽  
Metabolic Rate ◽  
Body Fat ◽  
Fat Mass ◽  
De Novo ◽  
Resting Metabolic Rate ◽  
De Novo Lipogenesis ◽  
Experimental Measurements ◽  
Metabolic Fluxes

Changes in body weight and composition are the result of complex interactions among metabolic fluxes contributing to macronutrient balances. To better understand these interactions, a mathematical model was constructed that used the measured dietary macronutrient intake during semistarvation and refeeding as model inputs and computed whole body energy expenditure, de novo lipogenesis, and gluconeogenesis as well as turnover and oxidation of carbohydrate, fat, and protein. Published in vivo human data provided the basis for the model components that were integrated by fitting a few unknown parameters to the classic Minnesota human starvation experiment. The model simulated the measured body weight and fat mass changes during semistarvation and refeeding and predicted the unmeasured metabolic fluxes underlying the body composition changes. The resting metabolic rate matched the experimental measurements and required a model of adaptive thermogenesis. Refeeding caused an elevation of de novo lipogenesis that, along with increased fat intake, resulted in a rapid repletion and overshoot of body fat. By continuing the computer simulation with the prestarvation diet and physical activity, the original body weight and composition were eventually restored, but body fat mass was predicted to take more than one additional year to return to within 5% of its original value. The model was validated by simulating a recently published short-term caloric restriction experiment without changing the model parameters. The predicted changes in body weight, fat mass, resting metabolic rate, and nitrogen balance matched the experimental measurements, thereby providing support for the validity of the model.

Effects of fat mass and body fat distribution on resting metabolic rate in the elderly

Metabolism ◽  
2001 ◽  
Vol 50 (8) ◽  
pp. 972-975 ◽  
Author(s):  
Petra M. L[uuml ]hrmann ◽  
Birgit M. Herbert ◽  
Monika Neuh[auml ]user-Berthold
Keyword(s):  
Metabolic Rate ◽  
Body Fat ◽  
Fat Mass ◽  
Resting Metabolic Rate ◽  
Fat Distribution ◽  
The Elderly ◽  
Body Fat Distribution

Abstract P293: Resting Metabolic Rate, Cardiorespiratory Fitness, and Racial Differences in Adiposity among Adult Women

Circulation ◽  
2013 ◽  
Vol 127 (suppl_12) ◽  
Author(s):  
Robin P Shook ◽  
Gregory A Hand ◽  
Amanda E Paluch ◽  
James R Hebert ◽  
Xuewen Wang ◽  
...  
Keyword(s):  
Body Weight ◽  
Energy Expenditure ◽  
Metabolic Rate ◽  
Cardiorespiratory Fitness ◽  
Body Fat ◽  
Fat Mass ◽  
Resting Metabolic Rate ◽  
Overweight And Obesity ◽  
Vigorous Activity

Background: African American (AA) adult females have a higher prevalence of overweight and obesity compared to their Caucasian (Cauc) peers. Lower resting metabolic rate (RMR) values, a hypothesized contributor to higher levels of adiposity, have been observed among AA women. However, it is unknown whether cardiorespiratory fitness (CRF) is associated with RMR in this population. Methods: Sixty-two overweight/obese (body mass index [BMI] ≥25.0) yet healthy women (42 Cauc, 20 AA) between the ages of 21-35 years were recruited for the present study. RMR was measured using a ventilated hood system. Participants arrived fasted for at least 12 hrs and having refrained from alcohol/exercise for at least 24 hrs. Participants rested in a supine position for 30-minutes, followed by a 30-minute RMR gas collection period. Body weight (BW) and height were measured and body fat (BF) was calculated as the percentage of total weight identified as fat tissue by dual x-ray absorptiometry. CRF was measured via a metabolic cart during a modified Bruce treadmill protocol. Total energy expenditure (TEE) was assessed using an arm-based physical activity monitor worn at all times for 10 consecutive days. Energy intake (EI) was assessed over a 14-day period via interviewer-administered dietary recall. Results: Cauc and AA participants were similar in terms of age (27.6±4.2 years), weight (79.9±9.9 kg), BMI (29.4±2.9 kg/m2), body fat percentage (41.0±5.1 percent), and EI (1760±397 kcal/day). Compared to Cauc, AA women were slightly shorter (162.4±7.0 vs. 165.8±5.1 cm, p=0.0371), lower CRF (27.4±3.8 vs. 31.4±5.2 ml/kg/min, p=0.0032), lower TEE (2438±264 vs. 2598±303 kcal/day, p=0.0102) and lower RMR (1436±222 vs. 1569±181 kcal/day, p=0.0154). Energy expenditure resulting from moderate/vigorous activity was higher in Cauc females (552±386 vs. 355±197 kcal/day, p=0.0102). RMR was correlated with fat mass, CRF and race. After adjustment for age, race, body weight, fat-free mass, fat mass, and CRF, the least squares means for RMR remained lower in AA compared to Cauc (1444 vs. 1565 kcal/day, p=0.0034) and was only significantly related race (p=0.0034). Conclusion: The results of this study confirm previous research reporting lower RMR values among AA females compared to their Cauc counterparts, though these differences did not result in variations of adiposity. The current analyses suggest CRF plays an important role in the determination of RMR. The differences among racial groups in energy expenditure resulting from moderate/vigorous activity may play a key role in the determination of CRF and ultimately RMR.

scholarly journals Investigation of the Effect of Six Weeks Electro Muscle Stimulation Training on Physical Changes in the Sedentary Men and Women

2018 ◽  
Vol 6 (9) ◽  
pp. 21
Author(s):  
Tahir Kılıç ◽  
Alkan Ugurlu
Keyword(s):  
Muscle Mass ◽  
Body Mass ◽  
Body Fat ◽  
Fat Mass ◽  
Cell Mass ◽  
The Body ◽  
Fat Free Mass ◽  
Muscle Stimulation ◽  
Men And Women ◽  
Physical Changes

The purpose of this study was to investigation of the effect of six weeks electrostimulation training on physical changes in the sedentary men and women. Electro muscle stimulation (EMS), which is applied since the discovery of contraction under the influence of electrical currents, on the purpose of rehabilitation and treatment purposes, has attracted the attention of coaches, athletes and sports scientists as a popular training method over time. In the present research, 6 weeks, 3 days a week and for 25 minutes in a day of EMS machine training program was applied to the sedentary women n=12 and sedentary men n=12. In order to determine effect of EMS machine training on the physical changes which are body mass, % body fat, fat mass, body mass index, total body water, fat free mass, muscle mass, Tanita (SC-300) Body Composition Analyzer was used as a pre-test and post-test. The results of the Tanita body measurements were analyzed by using SPSS computer program, the standard deviations were calculated, and pre- and post-training statistical paired samples T Test analysis were made. According to SPSS analysis results, there are statistically significant increases in the % body fat, fat mass, soft muscle tissues, extracellular and intracellular liquid weights and cell mass weights (p<0.05). There are increases in other results which is, body mass, BMI, muscle mass, metabolic ages, obesity levels, internal fat, bone mineral weights and skeletal muscle mass, but not statistically significant (p>0.05). Only EMS training has increased the maximum power associated with sports, due to the increase in the speed of movement. In addition, the stronger long-term effects of EMS training provide new opportunities, as determined by the duration of the training. The right application of full-body EMS training with dynamic exercise movements is a promising combination for power and speed training.

scholarly journals Resting metabolic rate and its adjustments as  predictors of risk protein-energy wasting in  hemodialysis patients

2021 ◽  
Author(s):  
Jingjing Da ◽  
Yanjun Long ◽  
Qian Li ◽  
Xia Yang ◽  
Jing Yuan ◽  
...  
Keyword(s):  
Body Composition ◽  
Linear Regression ◽  
Metabolic Rate ◽  
Fat Mass ◽  
Linear Regression Analysis ◽  
Resting Metabolic Rate ◽  
Cell Mass ◽  
Hemodialysis Patients ◽  
Protein Energy Wasting ◽  
Measurement Protocol

Background: The purpose of the present study was to explore the association between resting metabolic rate (RMR) and PEW risk in Chinese hemodialysis patients by age and gender subgroup. Methods: RMR and body composition (body cell mass and fat mass) of 774 patients undergoing hemodialysis were estimated by bioelectrical impedance analysis (BIA). Anthropometric data were collected by a standard measurement protocol, and the upper arm muscle circumference (AMC) was calculated. Biochemical nutritional and dialysis parameters were obtained. Linear regression analysis was used to analyze the relationship between RMR, body composition and nutritional factors. Results: The mean age was 54.96±15.78 years. RMR level in patients was 1463.0 (1240.5, 1669.0) kcal/d. In multiple linear regression models, BCM, LCC, fat mass were the determinants association with RMR (P＜0.001). Among the patients in the sample, 133 (17.2%) had diagnosed PEW per ISRNM criteria and 363 (46.9%) were being at risk PEW. The AUC of RMR for predicting risk PEW was greater than RMR/BCM and RMR/BSA. When the cut-off of RMR was 1481 kcal/d had the higher sensitivity and specificity (82% and 42%), and the AUC was 0.68 in elderly MHD patients (P＜0.001). After adjustment for potential confounders, lowest RMR quartile level (&lt;1239) increased the risk of PEW (OR= 4.71, 95% CI 1.33-16.64, P=0.016) in all patients. Conclusions: Older patients with PEW have a lower RMR reduction. RMR and RMR/BCM may play the role in objective screening to detect risk PEW in MHD patients, especially in male.

Resting Metabolic Rate in Adults with Facioscapulohumeral Muscular Dystrophy (FSHD)

2021 ◽  
Author(s):  
Kathryn A Vera ◽  
Mary McConville ◽  
Michael Kyba ◽  
Manda L. Keller-Ross
Keyword(s):  
Muscular Dystrophy ◽  
Metabolic Rate ◽  
Body Fat ◽  
Fat Mass ◽  
Lean Mass ◽  
Resting Metabolic Rate ◽  
Carbon Dioxide Production ◽  
Facioscapulohumeral Muscular Dystrophy ◽  
Whole Body ◽  
Body Fat Mass

Determine whether resting metabolic rate (RMR) is altered in adults with facioscapulohumeral muscular dystrophy (FSHD). Eleven people with FSHD (51±12yrs, 2 females) and eleven controls (48±14yrs, 2 females) completed one visit, including 30-minutes of indirect calorimetry and dual-energy x-ray absorptiometry (DXA) scanning. RMR was calculated from resting oxygen consumption/carbon dioxide production; regional/whole-body fat mass and lean mass were collected from the DXA scan. Absolute RMR was 15% lower in FSHD (p=0.04); when normalized to regional/local lean mass, no differences in RMR were observed (p>0.05). Absolute RMR was correlated with total lean mass for all participants combined (p<0.01, r=0.70, males only: p<0.01, r=0.81) and when analyzed separately (FSHD males: p=0.001, r=0.92 and control males: p=0.004, r=0.85). Whole-body lean mass was 16% lower in FSHD and leg, arm and appendicular lean mass were lower in FSHD (p<0.05 for all), though trunk lean mass was not (p=0.15). Whole-body fat mass was 45% higher in FSHD, with greater leg fat mass (p=0.01), but not trunk or arm fat mass (p>0.05 for both). When RMR was expressed relative to lean body mass, no differences in RMR were found, indicating that the lower levels of lean mass observed in FSHD patients likely contribute to the lower absolute RMR values. Novelty bullets: • Resting metabolic rate (RMR) is lower among people with FSHD, as compared with controls • The reduced RMR among people with FSHD is due to disease-related loss in muscle mass and likely related to lower physical activity and/or exercise levels.

Correlation of Fat Mass Index and Fat-Free Mass Index with percentage body fat and their association with hypertension among urban South Indian adult men and women

2011 ◽  
Vol 39 (1) ◽  
pp. 54-58 ◽  
Author(s):  
K. Mallikharjuna Rao ◽  
N. Arlappa ◽  
M.S. Radhika ◽  
N. BalaKrishna ◽  
A. Laxmaiah ◽  
...  
Keyword(s):  
Body Fat ◽  
Fat Mass ◽  
Fat Free Mass ◽  
Fat Mass Index ◽  
Men And Women ◽  
Percentage Body Fat ◽  
Adult Men ◽  
South Indian ◽  
Urban South

Bivariate whole-genome linkage scan for bone geometry and total body fat mass

2009 ◽  
Vol 36 (2) ◽  
pp. 89-97 ◽  
Author(s):  
Shufeng Lei ◽  
Feiyan Deng ◽  
Peng Xiao ◽  
Kai Zhong ◽  
Hongyi Deng ◽  
...  
Keyword(s):  
Body Fat ◽  
Fat Mass ◽  
Bone Geometry ◽  
Body Fat Mass ◽  
Whole Genome ◽  
Total Body Fat ◽  
Total Body
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