Resting Energy Expenditure of Black Overweight Women in South Africa Is Lower than of White Women

2016 ◽  
Vol 69 (1) ◽  
pp. 24-30
Author(s):  
Natascha Olivier ◽  
Friedeburg A.M. Wenhold ◽  
Piet Becker
Keyword(s):  
Black Women ◽  
Energy Expenditure ◽  
White Women ◽  
Resting Energy Expenditure ◽  
Fat Free Mass ◽  
African Women ◽  
Overweight Women ◽  
Estimation Equations ◽  
Race Ethnicity ◽  
Resting Energy

Background: Overweight affects 65% of black South African women. Effective weight management requires accurate measurement or estimation of energy expenditure. Aims: The study aimed to determine, among overweight women, whether measured resting energy expenditure (REE) differs between black and white participants, and the performance of REE estimation equations. Methods: The REE of 44 black (age 39.6 ± 9.7 years, body mass index (BMI) 35.1 ± 6.2 kg/m2) and 41 white (age 38.0 ± 11.6 years, BMI 33.9 ± 7.6 kg/m2) women was measured with indirect calorimetry and estimated with equations. Body composition was assessed with multi-frequency bioelectrical impedance analysis. Differences in REE were determined with t tests (Welch), and included adjustment for fat free mass (FFM) and BMI, and for FFM index (FFMI). Results: Measured REE was 585 kJ/day (95% CI 264-905; p = 0.0005) and 861 kJ/day (95% CI 499-1,221; p < 0.0001) lower in black than in white women when adjusted for FFM and BMI, and FFMI, respectively. Out of 14 equations, 13 underestimated REE (error range 2,261 ± 727 kJ/day (Bernstein equation, white women) to 8 ± 782 kJ/day (BMI equation, black women)). Conclusions: Black overweight women have significantly lower REE than their white counterparts. No tested estimation equation provided satisfactory results across race/ethnicity. REE measurements or development of overweight- or race/ethnicity-specific estimation equations are recommended.

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.

Resting Energy Expenditure in Obese Women with Primary Hypothyroidism and Appropriate Levothyroxine Replacement Therapy

2020 ◽  
Vol 105 (4) ◽  
pp. e1741-e1748 ◽  
Author(s):  
Emanuele Muraca ◽  
Stefano Ciardullo ◽  
Alice Oltolini ◽  
Francesca Zerbini ◽  
Eleonora Bianconi ◽  
...  
Keyword(s):  
Body Composition ◽  
Energy Expenditure ◽  
Replacement Therapy ◽  
Resting Energy Expenditure ◽  
Primary Hypothyroidism ◽  
Normal Serum ◽  
Fat Free Mass ◽  
Model Assessment ◽  
Obese Women ◽  
Resting Energy

Abstract Context Growing evidence suggests that appropriate levothyroxine (LT4) replacement therapy may not correct the full set of metabolic defects afflicting individuals with hypothyroidism. Objective To assess whether obese subjects with primary hypothyroidism are characterized by alterations of the resting energy expenditure (REE). Design Retrospective analysis of a set of data about obese women attending the outpatients service of a single obesity center from January 2013 to July 2019. Patients A total of 649 nondiabetic women with body mass index (BMI) &gt; 30 kg/m2 and thyrotropin (TSH) level 0.4–4.0 mU/L were segregated into 2 groups: patients with primary hypothyroidism taking LT4 therapy (n = 85) and patients with normal thyroid function (n = 564). Main outcomes REE and body composition assessed using indirect calorimetry and bioimpedance. Results REE was reduced in women with hypothyroidism in LT4 therapy when compared with controls (28.59 ± 3.26 vs 29.91 ± 3.59 kcal/kg fat-free mass (FFM)/day), including when adjusted for age, BMI, body composition, and level of physical activity (P = 0.008). This metabolic difference was attenuated only when adjustment for homeostatic model assessment of insulin resistance (HOMA-IR) was performed. Conclusions This study demonstrated that obese hypothyroid women in LT4 therapy, with normal serum TSH level compared with euthyroid controls, are characterized by reduced REE, in line with the hypothesis that standard LT4 replacement therapy may not fully correct metabolic alterations related to hypothyroidism. We are not able to exclude that this feature may be influenced by the modulation of insulin sensitivity at the liver site, induced by LT4 oral administration.

Anthropometric measured fat-free mass as essential determinant of resting energy expenditure for pregnant and non-pregnant women

Nutrition ◽  
2011 ◽  
Vol 27 (9) ◽  
pp. 885-890 ◽  
Author(s):  
Miloslav Hronek ◽  
Petr Klemera ◽  
Jindrich Tosner ◽  
Dana Hrnciarikova ◽  
Zdenek Zadak
Keyword(s):  
Energy Expenditure ◽  
Pregnant Women ◽  
Resting Energy Expenditure ◽  
Fat Free Mass ◽  
Resting Energy

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.

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

scholarly journals Body composition and resting energy expenditure in humans: role of fat, fat-free mass and extracellular fluid

2000 ◽  
Vol 24 (9) ◽  
pp. 1153-1157 ◽  
Author(s):  
S Nielsen ◽  
DD Hensrud ◽  
S Romanski ◽  
JA Levine ◽  
B Burguera ◽  
...  
Keyword(s):  
Body Composition ◽  
Energy Expenditure ◽  
Extracellular Fluid ◽  
Resting Energy Expenditure ◽  
Fat Free Mass ◽  
Resting Energy

The contribution of fat-free mass to resting energy expenditure: implications for weight loss strategies in the treatment of adolescent obesity

2015 ◽  
Vol 27 (3) ◽  
pp. 241-246 ◽  
Author(s):  
Matthew G. Browning ◽  
Ronald K. Evans
Keyword(s):  
Weight Loss ◽  
Energy Balance ◽  
Energy Expenditure ◽  
Resting Energy Expenditure ◽  
Strong Relationship ◽  
Adolescent Obesity ◽  
Normal Weight ◽  
Fat Free Mass ◽  
Weight Loss Outcomes ◽  
Resting Energy

AbstractOwing to the strong relationship between fat-free mass (FFM) and resting energy expenditure (REE), the preservation of FFM is often emphasized in the treatment of adolescent obesity. Typical treatment regimens including an increased dietary consumption of protein and participation in resistance training are common components of adolescent weight management programs, despite limited evidence of a positive influence of FFM on weight loss outcomes in adolescents. Given the larger volume of FFM in obese relative to normal weight adolescents and the common treatment goals of both maximizing weight loss and attenuating the loss of FFM, a better understanding of the influence of FFM on energy balance is needed to determine whether strategies to preserve lean tissue or maximize absolute weight loss should be most emphasized. We review the associations among FFM, REE, and weight loss outcomes, focusing on how these relationships might influence energy balance in obese adolescents.

scholarly journals Resting energy expenditure in obese women: comparison between measured and estimated values

2016 ◽  
Vol 116 (7) ◽  
pp. 1306-1313 ◽  
Author(s):  
Vanessa Fadanelli Schoenardie Poli ◽  
Ricardo Badan Sanches ◽  
Amanda dos Santos Moraes ◽  
João Pedro Novo Fidalgo ◽  
Maythe Amaral Nascimento ◽  
...  
Keyword(s):  
Energy Expenditure ◽  
Indirect Calorimetry ◽  
Intraclass Correlation ◽  
Resting Energy Expenditure ◽  
Fat Free Mass ◽  
Interdisciplinary Therapy ◽  
Obese Women ◽  
Predictive Equations ◽  
Before And After ◽  
Resting Energy

AbstractAssessing energy requirements is a fundamental activity in clinical dietetic practice. The aim of this study was to investigate which resting energy expenditure (REE) predictive equations are the best alternatives to indirect calorimetry before and after an interdisciplinary therapy in Brazilian obese women. In all, twelve equations based on weight, height, sex, age, fat-free mass and fat mass were tested. REE was measured by indirect calorimetry. The interdisciplinary therapy consisted of nutritional, physical exercise, psychological and physiotherapy support during the course of 1 year. The average differences between measured and predicted REE, as well as the accuracy at the ±10 % level, were evaluated. Statistical analysis included paired t tests, intraclass correlation coefficients and Bland–Altman plots. Validation was based on forty obese women (BMI 30–39·9 kg/m2). Our major findings demonstrated a wide variation in the accuracy of REE predictive equations before and after weight loss in non-morbid, obese women. The equations reported by Harris–Benedict and FAO/WHO/United Nations University (UNU) were the only ones that did not show significant differences compared with indirect calorimetry and presented a bias <5 %. The Harris–Benedict equation provided 40 and 47·5 % accurate predictions before and after therapy, respectively. The FAO equation provided 35 and 47·5 % accurate predictions. However, the Bland–Altman analysis did not show good agreement between these equations and indirect calorimetry. Therefore, the Harris–Benedict and FAO/WHO/UNU equations should be used with caution for obese women. The need to critically re-assess REE data and generate regional and more homogeneous REE databases for the target population is reinforced.

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