scholarly journals Relationships of Resting Energy Expenditure with Body Fat Distribution and Abdominal Fatness in Japanese Population.

2003 ◽  
Vol 22 (1) ◽  
pp. 47-52 ◽  
Author(s):  
Tomohiro Okura ◽  
Michiko Koda ◽  
Fujiko Ando ◽  
Naoakira Niino ◽  
Hiroshi Shimokata
Keyword(s):  
Energy Expenditure ◽  
Body Fat ◽  
Japanese Population ◽  
Resting Energy Expenditure ◽  
Fat Distribution ◽  
Body Fat Distribution ◽  
Abdominal Fatness ◽  
Resting Energy

Resting energy expenditure in women: Impact of obesity and body-fat distribution

Metabolism ◽  
1990 ◽  
Vol 39 (1) ◽  
pp. 11-17 ◽  
Author(s):  
Jan A. Weststrate ◽  
Jacqueline Dekker ◽  
Miriam Stoel ◽  
Liliane Begheijn ◽  
Paul Deurenberg ◽  
...  
Keyword(s):  
Energy Expenditure ◽  
Body Fat ◽  
Resting Energy Expenditure ◽  
Fat Distribution ◽  
Body Fat Distribution ◽  
Resting Energy

Body Fat Distribution and Resting Energy Expenditure in Obese Premenopausal Women

2001 ◽  
Vol 16 (3) ◽  
pp. 70-79
Author(s):  
Kristen E. Olson ◽  
Cynthia J. Heiss ◽  
Kristin M. Hirano ◽  
Jayne C. Brahler ◽  
Kathy A. Beerman
Keyword(s):  
Energy Expenditure ◽  
Body Fat ◽  
Premenopausal Women ◽  
Resting Energy Expenditure ◽  
Fat Distribution ◽  
Body Fat Distribution ◽  
Resting Energy

scholarly journals Age‐associated changes of resting energy expenditure, body composition and fat distribution in Chinese Han males

2018 ◽  
Vol 6 (23) ◽  
pp. e13940 ◽  
Author(s):  
Nousayhah Amdanee ◽  
Wenjuan Di ◽  
Juan Liu ◽  
Jing Yu ◽  
Yunlu Sheng ◽  
...  
Keyword(s):  
Body Composition ◽  
Energy Expenditure ◽  
Resting Energy Expenditure ◽  
Fat Distribution ◽  
Chinese Han ◽  
Resting Energy

Energy Expenditure and Body Fat Distribution in Mohawk Children

PEDIATRICS ◽  
1995 ◽  
Vol 95 (1) ◽  
pp. 89-95
Author(s):  
Michael I. Goran ◽  
Mary Kaskoun ◽  
Rachel Johnson ◽  
Charlene Martinez ◽  
Benson Kelly ◽  
...  
Keyword(s):  
Physical Activity ◽  
Body Composition ◽  
Native Americans ◽  
Energy Expenditure ◽  
Total Energy ◽  
Body Fat ◽  
Resting Energy Expenditure ◽  
Fat Distribution ◽  
Total Energy Expenditure ◽  
Fat Free Mass

Objective. Epidemiologic studies suggest that Native Americans, including the Mohawk people, have a high prevalence of obesity, diabetes, and cardiovascular risk. However, current information on alterations in related variables such as energy metabolism and body composition in Native Americans is almost exclusively limited to already obese Pima adults living in the Southwest. The aim of this study was to characterize energy metabolism and body composition in young Mohawk children (17 girls, 11 boys; aged 4 to 7 years) as compared to Caucasian children (36 girls, 34 boys; aged 4 to 7 years). Total energy expenditure was measured by doubly labeled water, postprandial resting energy expenditure by indirect calorimetry, and activity energy expenditure was derived from the difference between total and resting energy expenditure. Fat and fat free mass were estimated from bioelectrical resistance, and body fat distribution was estimated from skinfolds and circumferences. Results. There were no significant effects of ethnic background or sex on body weight, height, or body mass index. Fat free mass was significantly higher in boys and fat mass was significantly higher in girls, with no effect of ethnic background. Chest skinfold thickness, the ratio of trunk skinfolds:extremity skinfolds, and the waist:hip ratio were significantly higher in Mohawk children by 2.5 mm, 0.09 units, and 0.03 units, respectively, independent of sex and fat mass. Total energy expenditure was significantly higher in Mohawk children compared to Caucasian (100 kcal/day in girls, 150 kcal/day in boys), independent of fat free mass and sex, due to a significantly higher physical activity-related energy expenditure. Conclusion. These data suggest that: 1) body fat is more centrally distributed in Mohawk relative to Caucasian children, and this effect is independent of sex and body fat content; 2) Mohawk children have a greater total energy expenditure than Caucasian children, independent of fat free mass, due to greater physical activity-related energy expenditure.

scholarly journals Alterations in Growth and Body Composition During Puberty: III. Influence of Maturation, Gender, Body Composition, Fat Distribution, Aerobic Fitness, and Energy Expenditure on Nocturnal Growth Hormone Release1

1998 ◽  
Vol 83 (5) ◽  
pp. 1440-1447 ◽  
Author(s):  
James N. Roemmich ◽  
Pamela A. Clark ◽  
Vu Mai ◽  
Stuart S. Berr ◽  
Arthur Weltman ◽  
...  
Keyword(s):  
Body Composition ◽  
Energy Expenditure ◽  
Body Fat ◽  
Aerobic Fitness ◽  
Compartment Model ◽  
Fat Distribution ◽  
Bone Age ◽  
Body Fat Distribution ◽  
Time Curve ◽  
And Gender

We examined the relationships among gender, sexual maturation, four-compartment model estimates of body composition, body fat distribution (magnetic resonance imaging for abdominal visceral fat and anthropometrics), aerobic fitness, basal and total energy expenditure, and overnight GH release in an ultrasensitive chemiluminescence assay in healthy prepubertal and pubertal boys (n = 18 and 11, respectively) and girls (n = 12 and 18, respectively). Blood samples were withdrawn every 10 min from 1800–0600 h to determine the area under the serum GH-time curve (AUC), sum of the GH peak heights (Σ GH peak heights), and the mean nadir GH concentration. GH release was greater in the pubertal than prepubertal subjects due to an increase in Σ GH peak heights (43.8 ± 3.6 vs. 24.1 ± 3.5 ng·mL−1, P = 0.0002) and mean nadir (1.7 ± 0.2 vs. 0.7 ± 0.2 ng·mL−1, P = 0.0002), but not peak number (4.3 ± 0.2 vs. 4.5 ± 0.2). The girls had a greater Σ GH peak heights (39.0 ± 3.5 vs. 28.8 ± 3.6 ng·mL−1, P = 0.05) and mean nadir concentration (1.4 ± 0.2 vs. 0.9 ± 0.2 ng·mL−1, P = 0.05) than the boys. Significant inverse relationships existed between Σ GH peak heights (r = −0.35, P = 0.06) or mean nadir (r = −0.39, P = 0.04) and four-compartment percent body fat for all boys but not for all girls or when combining all subjects. For all girls, significant inverse relationships existed between Σ GH peak heights (r = −0.39, P = 0.03) or mean nadir (r = −0.37, P = 0.04) and waist/hip ratio. Similar inverse relationships in all boys or all subjects were not significant. Forward stepwise regression analysis determined that bone age (i.e. maturation, primary factor) and gender were the significant predictors of AUC, Σ GH peak heights, and mean nadir. The influence of maturation reflects rising sex steroid concentrations, and the gender differences appear to be because of differences in estradiol concentrations rather than to body composition or body fat distribution.

Validity of resting energy expenditure estimated by an activity monitor compared to indirect calorimetry

2009 ◽  
Vol 102 (1) ◽  
pp. 155-159 ◽  
Author(s):  
Jocilyn E. Dellava ◽  
Daniel J. Hoffman
Keyword(s):  
Energy Expenditure ◽  
Body Fat ◽  
Indirect Calorimetry ◽  
Resting Energy Expenditure ◽  
Bioelectrical Impedance ◽  
Activity Monitor ◽  
Prediction Equation ◽  
Activity Monitors ◽  
Percentage Of Body Fat ◽  
Resting Energy

The use of activity monitors (triaxial accelerometers) to estimate total energy expenditure in kilocalories is dependent on the estimation of resting energy expenditure (REE). However, the REE estimated by activity monitors has not been validated against more precise techniques, such as indirect calorimetry (IC). Therefore, the objective of the present study was to compare REE estimated by the Actical activity monitor (ActMon) to that measured by IC and standard prediction equations of REE. Fifty healthy adults between 18 and 43 years of age were measured for weight and percentage of body fat using a digital scale and bioelectrical impedance. The REE estimated by the ActMon was only 129 kJ/d higher, but not statistically different (P>0·05), than the REE measured with IC. Using multiple linear regression, there was a positive relationship for men, but not for women, between fat mass (kg) and percentage of body fat and the difference in REE estimated by the ActMon compared to IC (P < 0·001). Therefore, in the cohort studied, the use of an activity monitor to estimate REE is valid when compared to IC, but not to a standard prediction equation of REE.

Seasonal effects on resting energy expenditure are dependent on age and percent body fat

2020 ◽  
Vol 39 (4) ◽  
pp. 1276-1283
Author(s):  
Duong Duc Pham ◽  
Jeong Hun Lee ◽  
Ki Hwan Hong ◽  
Youn Joo Jung ◽  
Sung Jin Kim ◽  
...  
Keyword(s):  
Energy Expenditure ◽  
Body Fat ◽  
Resting Energy Expenditure ◽  
Seasonal Effects ◽  
Percent Body Fat ◽  
Resting Energy

A LONGITUDINAL STUDY OF LEPTIN AND APPETITE, RESTING ENERGY EXPENDITURE AND BODY FAT MASS IN WEIGHT-STABLE CANCER PATIENTS

Cytokine ◽  
2002 ◽  
Vol 20 (4) ◽  
pp. 174-177 ◽  
Author(s):  
Roma Maguire ◽  
Donald C McMillan ◽  
A.Michael Wallace ◽  
Colin McArdle
Keyword(s):  
Longitudinal Study ◽  
Energy Expenditure ◽  
Cancer Patients ◽  
Body Fat ◽  
Fat Mass ◽  
Resting Energy Expenditure ◽  
Body Fat Mass ◽  
Resting Energy

scholarly journals Associations among Calcium Intake, Resting Energy Expenditure, and Body Fat in a Multiethnic Sample of Children

2010 ◽  
Vol 157 (3) ◽  
pp. 473-478 ◽  
Author(s):  
Lynae J. Hanks ◽  
Krista Casazza ◽  
Amanda L. Willig ◽  
Michelle I. Cardel ◽  
T. Mark Beasley ◽  
...  
Keyword(s):  
Energy Expenditure ◽  
Body Fat ◽  
Calcium Intake ◽  
Resting Energy Expenditure ◽  
Multiethnic Sample ◽  
Resting Energy
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