Resting energy expenditure prediction using bioelectrical impedance analysis in patients with severe motor and intellectual disabilities

2019 ◽  
Vol 41 (4) ◽  
pp. 352-358 ◽  
Author(s):  
Naoki Hashizume ◽  
Yoshiaki Tanaka ◽  
Motomu Yoshida ◽  
Suguru Fukahori ◽  
Shinji Ishii ◽  
...  
Keyword(s):  
Energy Expenditure ◽  
Intellectual Disabilities ◽  
Bioelectrical Impedance Analysis ◽  
Resting Energy Expenditure ◽  
Bioelectrical Impedance ◽  
Impedance Analysis ◽  
Severe Motor ◽  
Resting Energy

Metabolically active components of fat free mass and resting energy expenditure in nonobese adults

2000 ◽  
Vol 278 (2) ◽  
pp. E308-E315 ◽  
Author(s):  
Kirsten Illner ◽  
Gisbert Brinkmann ◽  
Martin Heller ◽  
Anja Bosy-Westphal ◽  
Manfred J. Müller
Keyword(s):  
Energy Expenditure ◽  
Standard Error ◽  
Resting Energy Expenditure ◽  
Bioelectrical Impedance ◽  
Impedance Analysis ◽  
Fat Free Mass ◽  
Active Components ◽  
Internal Organs ◽  
Multiple Stepwise Regression Analysis ◽  
Resting Energy

Resting energy expenditure (REE) and components of fat-free mass (FFM) were assessed in 26 healthy nonobese adults (13 males, 13 females). Detailed body composition analyses were performed by the combined use of dual-energy X-ray absorptiometry (DEXA), magnetic resonance imaging (MRI), bioelectrical impedance analysis (BIA), and anthropometrics. We found close correlations between REE and FFMBIA ( r = 0.92), muscle massDEXA( r = 0.89), and sum of internal organsMRI( r = 0.90). In a multiple stepwise regression analysis, FFMBIA alone explained 85% of the variance in REE (standard error of the estimate 423 kJ/day). Including the sum of internal organsMRI into the model increased the r 2 to 0.89 with a standard error of 381 kJ/day. With respect to individual organs, only skeletal muscleDEXAand liver massMRI significantly contributed to REE. Prediction of REE based on 1) individual organ masses and 2) a constant metabolic rate per kilogram organ mass was very close to the measured REE, with a mean prediction error of 96 kJ/day. The very close agreement between measured and predicted REE argues against significant variations in specific REEs of individual organs. In conclusion, the mass of internal organs contributes significantly to the variance in REE.

Resting energy expenditure in girls with Turner syndrome

2017 ◽  
Vol 30 (3) ◽  
Author(s):  
Gerhard Binder ◽  
Laura Frank ◽  
Julian Ziegler ◽  
Gunnar Blumenstock ◽  
Roland Schweizer
Keyword(s):  
Energy Expenditure ◽  
Short Stature ◽  
Turner Syndrome ◽  
Resting Energy Expenditure ◽  
Bioelectrical Impedance ◽  
Fat Free Mass ◽  
Gh Treatment ◽  
Age Related ◽  
Resting Energy

AbstractBackground:Knowledge concerning energy metabolism in Turner syndrome (TS) is lacking. We compared the resting energy expenditure per fat-free mass (REE/FFM) in TS with other girls with short stature treated with growth hormone (GH) and age-related controls.Methods:We measured prospectively REE by spirometry under fasting conditions in the morning in 85 short prepubertal girls at the start of GH treatment. Diagnoses were TS (n=20), GH deficiency (GHD) (n=38) and small for gestational age (SGA) short stature (n=27). Additionally, 20 age-related controls were studied. Mean ages were 8.3 (TS), 7.1 (GHD), 6.9 (SGA) and 8.5 years (controls). Mean heights were −2.90 (TS), −3.32 (GHD), −3.69 (SGA) and −0.03 standard deviation scores (SDS) (controls). FFM was measured by bioelectrical impedance analysis (BIA).Results:At the start of GH girls with TS showed insignificantly higher REE per FFM (REE/FFM) (mean±SD; 65±9 kcal/kg×day) than did the other female patients (62±9 kcal/kg×day) (p>0.23). The healthy controls had significantly lower REE/FFM (35±4 kcal/kg×day) (p<0.001). Follow-up examination of the patients after 6 or 12 months revealed decreasing REE/FFM in TS (62±9 kcal/kg×day) resulting in comparable REE/FFM in all three patient groups.Conclusions:At baseline short girls with TS had insignificantly higher REE/FFM than short children with SGA or GHD, but in follow-up this difference was not detectable any more. Future studies are necessary to understand this observation.

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.

scholarly journals Resting Energy Expenditure and Related Factors in 6- to 9-Year-Old Southern African Children of Diverse Population Groups

Nutrients ◽  
2021 ◽  
Vol 13 (6) ◽  
pp. 1983
Author(s):  
Adeline Pretorius ◽  
Paola Wood ◽  
Piet Becker ◽  
Friedeburg Wenhold
Keyword(s):  
Energy Expenditure ◽  
Resting Energy Expenditure ◽  
Bioelectrical Impedance ◽  
Population Group ◽  
Fat Free Mass ◽  
African Women ◽  
Healthy Children ◽  
Related Factors ◽  
Cross Sectional ◽  
Resting Energy

Lower resting energy expenditure (REE) may partially explain the disproportionate prevalence of overweight/obesity among black African women. As no previous studies have investigated the REE of Southern African (South. Afr.) children, we aimed to determine, by sex and population group, the REE of 6- to 9-year-old urban school children. In a cross-sectional study with quota sampling, REE was measured with indirect calorimetry (IC). Confounders considered were: body composition (BC) (fat-free mass (FFM), FFM index, fat mass (FM), FM index), assessed using multifrequency bioelectrical impedance analysis, and physical activity (PA) measured with a pedometer. Multivariate regression was used to calculate REE adjusted for phenotypes (BC, z-scores of weight-for-age, height-for-age, body mass index-for-age) and PA. Sex and population differences in REE were determined with two-way ANOVA. Ninety-four healthy children (59.6% girls; 52.1% black) with similar socioeconomic status and PA opportunities participated. Despite BC variations, sex differences in REE were not significant (41 kcal/day; P = 0.375). The REE of black participants was lower than of white (146 kcal/day; P = 0.002). When adjusted for FFM and HFA z-score, the differences in REE declined but remained clinically meaningful at 91 kcal/day (P = 0.039) and 82 kcal/day (P = 0.108), respectively. We recommend the development of population-specific REE prediction equations for South. Afr. children.

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