Association of Thyroid-Stimulating Hormone with Resting Energy Expenditure in Euthyroid Elderly Subjects: A Cross-Sectional Study

2015 ◽  
Vol 68 (1) ◽  
pp. 12-18 ◽  
Author(s):  
Anja Nagel ◽  
Andre Spinneker ◽  
Monika Neuhäuser-Berthold
Keyword(s):  
Body Composition ◽  
Energy Expenditure ◽  
Elderly Women ◽  
Resting Energy Expenditure ◽  
Thyroid Stimulating Hormone ◽  
Fat Free Mass ◽  
Elderly Subjects ◽  
Cross Sectional ◽  
Resting Energy ◽  
Stimulating Hormone

Background: Several studies have reported positive correlations between thyroid-stimulating hormone (TSH) and body mass index (BMI) in euthyroid subjects. As impaired thyroid function is known to affect the metabolic rate, this study investigated whether TSH is associated with resting energy expenditure (REE) in euthyroid elderly subjects, independent of age, anthropometric data and body composition. Methods: Cross-sectional data of 77 women (66-96 years, BMI 18-36 kg/m2) and 55 men (66-86 years, BMI 20-39 kg/m2) were analyzed. REE was measured using indirect calorimetry, body composition by bioelectrical impedance analysis and serum TSH using an electrochemiluminescence immunoassay. Results: REE, fat-free mass (FFM) and waist circumference (WC) were significantly lower, whereas TSH and fat mass (FM) were significantly higher in women than in men. In multiple stepwise regression analysis, with age-adjusted REE (REEadj) as the dependent variable and FFM, FM and WC as independent variables, FFM and WC explained 40.7% in women and FFM 32.8% in men of the variability in REEadj. Including TSH in the model led to a significant rise of the adjusted R-squared value in women only, and explained an additional 2.8% of the variability in REEadj. Conclusions: TSH is independently and negatively associated with REE in euthyroid elderly women.

scholarly journals Accuracy of predictive equations for evaluation of resting energy expenditure in Brazilian patients with type 2 diabetes.

2020 ◽  
Author(s):  
Thaiciane Grassi ◽  
Francesco Pinto Boeno ◽  
Mauren Minuzzo de Freitas ◽  
Tatiana Pedroso de Paula ◽  
Luciana Vercoza Viana ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Body Composition ◽  
Energy Expenditure ◽  
Resting Energy Expenditure ◽  
Fat Free Mass ◽  
Composition Analysis ◽  
Cross Sectional ◽  
Predictive Equations ◽  
Resting Energy

Abstract Background Evaluation of the resting energy expenditure (REE) is essential to ensure an appropriate dietary prescription for patients with type 2 diabetes. The aim of this study was to evaluate the accuracy of predictive equations for REE estimation in patients with type 2 diabetes, considering indirect calorimetry (IC) as the reference method.Methods A cross-sectional study was conducted in 62 patients (31 men and 31 women) with type 2 diabetes. Clinical and laboratory variables were evaluated, as well as body composition by electrical bioimpedance. The REE was measured by IC (QUARK RMR, Cosmed, Rome, Italy) and estimated by predictive equations. Data were analyzed using Bland–Altman plots, paired t-tests, and Pearson’s correlation coefficients.Results Patients in the sample had a mean age of 63.1 ± 5.2 years, median diabetes duration of 11 (1–36) years, and mean A1C of 7.6 ± 1.2%. Body composition analysis revealed a mean fat free mass of 35.2 ± 11.8 kg and fat mass of 29.1 ± 8.8 kg. There was wide variation in the accuracy of REE values predicted by equations when compared to those measured by IC. For women, the FAO/WHO/UNO equation provided the best REE prediction in comparison to measured REE (-1.8% difference). For men, the Oxford equation yielded values closest to those measured by IC (-1.3% difference).Conclusions In this sample of the patients with type 2 diabetes, the best predictive equations to estimate REE were FAO/WHO/UNO and Oxford for women and men, respectively.

scholarly journals Resting Energy Expenditure, Body Composition and Phase Angle in Anorectic, Ballet Dancers and Constitutionally Lean Males

Nutrients ◽  
2019 ◽  
Vol 11 (3) ◽  
pp. 502 ◽  
Author(s):  
Maurizio Marra ◽  
Rosa Sammarco ◽  
Emilia De Filippo ◽  
Carmela De Caprio ◽  
Enza Speranza ◽  
...  
Keyword(s):  
Body Composition ◽  
Energy Expenditure ◽  
Phase Angle ◽  
Resting Energy Expenditure ◽  
Fat Free Mass ◽  
The Other ◽  
Cross Sectional ◽  
Ballet Dancers ◽  
Qualitative Changes ◽  
Resting Energy

Background: The prevalence of anorexia nervosa among males is increasing but few data are available in the literature. This cross sectional study aims to evaluate resting energy expenditure (REE) and phase angle as a marker of qualitative changes of fat free mass (FFM) in three leanness groups as compared with control subjects. Methods: 17 anorectic (AN) males, 15 constitutionally lean (CL) individuals, 12 ballet dancers (DC), and 18 control (CTR) subjects were evaluated. REE was measured by indirect calorimetry (V max29- Sensormedics), and body composition was evaluated by bioimpedance analysis (BIA) at 50 kHz (DS Medica). Phase angle (a bioimpedance variable related to nutritional status) was used to evaluate differences in FFM characteristics between these three types of leanness. Results: REE, adjusted for FFM and fat mass (FM), were significantly higher in CL and lower in AN individuals (1783 ± 47 vs. 1291 ± 58 kcal, p < 0.05) compared to the other groups. Body composition was similar in AN and CL whereas dancers had the highest FFM (58.9 ± 4.8 kg, p < 0.05); anorectic males showed the lowest phase angle (5.8 ± 1.2 degrees vs. other groups, p < 0.05) and dancers the highest phase angle (7.9 ± 0.7 degree vs. other group, p < 0.05). Conclusions: Our findings confirm that phase angle could be a useful marker of qualitative changes, above all in the field of sport activities. On the other hand, there is the need to further evaluate the relationship between resting energy expenditure, body composition and endocrine status in different conditions of physical activity and dietary intake.

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.

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

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 from DXA: A Cross-Sectional Study

2020 ◽  
Author(s):  
Ana Claudia Rossini Venturini ◽  
Analiza Mónica Silva ◽  
Pedro Pugliesi Abdalla ◽  
André Pereira Santos ◽  
Franciane Goes Borges ◽  
...  
Keyword(s):  
Energy Expenditure ◽  
Resting Energy Expenditure ◽  
Cross Sectional Study ◽  
Fat Free Mass ◽  
Whole Body ◽  
Sectional Study ◽  
Bias Analysis ◽  
Anthropometric Measures ◽  
Cross Sectional ◽  
Resting Energy

Abstract Background: The traditional methods used to estimate Resting Energy Expenditure (REE) is bases of the indirect calorimetry (IC) is a global approach, and does not consider the different metabolic activities of organs (heart, kidney and liver), bone tissue (BT), adipose tissue (AT) and skeletal muscle tissue (SMT). Then, our objective is to validate a 3C approach model of REE measured by dual-energy x-ray absorptiometry (DXA) based on IC. Methods: Participated in this cross-sectional study 155 college students, both sexes (18 to 30 years old). Anthropometric measures, REEs estimated via IC and whole-body DXA-scan (3C approach) were determined. The REE of each component was determined after transforming the DXA components at the molecular level to the organ tissue level. Bland-Altman and proportional bias analysis were used to verify agreement between methods (IC and DXA). Results: The results show significant ( p<0.05 ) higher fat-free mass index (FFMI), cranial area and residual tissue (RT) in men. And they have smaller amounts of fat mass (FM) and AT in comparison to women. Also higher REEs ( p <0.001) were found among men for all components in comparison to women, except for AT expenditure ( p <0.001). Conclusions: This approach has important implications for the interpretation of multicomponent energy metabolism, considering interpersonal differences in terms of heat production. It is a strategy applicable in the health and sports contexts to prescribe exercises and diets because it shows the REE magnitude of each body component.

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.

Sign in / Sign up

Export Citation Format

Share Document