scholarly journals The Influence of Maturity Status on Resting Energy Expenditure, Body Composition and Blood Pressure in Physically Active Children

Healthcare ◽  
2021 ◽  
Vol 9 (2) ◽  
pp. 216
Author(s):  
Edyta Łuszczki ◽  
Maciej Kuchciak ◽  
Katarzyna Dereń ◽  
Anna Bartosiewicz
Keyword(s):  
Blood Pressure ◽  
Body Composition ◽  
Energy Expenditure ◽  
Young Male ◽  
Resting Energy Expenditure ◽  
Fat Free Mass ◽  
The Other ◽  
Height Velocity ◽  
Peak Height Velocity ◽  
Resting Energy

Peak height velocity (PHV) is the period where the maximum rate of growth occurs. The moment the sports player reaches PHV can be estimated by monitoring the growth of body structures. The aim of this study was to assess changes in resting energy expenditure (REE), body composition and blood pressure in young, male soccer players between the pre-PHV, circa-PHV and post-PHV periods. This transverse study was conducted among 184 children aged 9 to 17 and included measurements of the resting energy expenditure (REE) using indirect calorimetry, body composition (bioimpedance) and blood pressure (sphygmomanometer). In addition, births in each quartile were analyzed. Children in the pre-PHV group had significantly lower REE values compared to the other two groups (p < 0.0001). The differences in the value of the REE between the children in the circum and post groups were not statistically significant. Additionally, the fat-free mass was significantly lower in the pre-PHV period compared to the other two periods (p < 0.0001), and the same relationship concerned the z-score body mass index (BMI) and systolic blood pressure. Early-born players were overrepresented (p < 0.05).

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.

scholarly journals The Diagnostic-Measurement Method—Resting Energy Expenditure Assessment of Polish Children Practicing Football

Diagnostics ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 340
Author(s):  
Edyta Łuszczki ◽  
Anna Bartosiewicz ◽  
Katarzyna Dereń ◽  
Maciej Kuchciak ◽  
Łukasz Oleksy ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Body Composition ◽  
Energy Expenditure ◽  
Muscle Mass ◽  
Indirect Calorimetry ◽  
Energy Demand ◽  
Body Height ◽  
Resting Energy Expenditure ◽  
Blood Pressure Monitor ◽  
Resting Energy

Establishing the amount of energy needed to cover the energy demand of children doing sport training and thus ensuring they achieve an even energy balance requires the resting energy expenditure (REE) to be estimated. One of the methods that measures REE is the indirect calorimetry method, which may be influenced by many factors, including body composition, gender, age, height or blood pressure. The aim of the study was to assess the correlation between the resting energy expenditure of children regularly playing football and selected factors that influence the REE in this group. The study was conducted among 219 children aged 9 to 17 using a calorimeter, a device used to assess body composition by the electrical bioimpedance method by means of segment analyzer and a blood pressure monitor. The results of REE obtained by indirect calorimetry were compared with the results calculated using the ready-to-use formula, the Harris Benedict formula. The results showed a significant correlation of girls’ resting energy expenditure with muscle mass and body height, while boys’ resting energy expenditure was correlated with muscle mass and body water content. The value of the REE was significantly higher (p ≤ 0.001) than the value of the basal metabolic rate calculated by means of Harris Benedict formula. The obtained results can be a worthwhile suggestion for specialists dealing with energy demand planning in children, especially among those who are physically active to achieve optimal sporting successes ensuring proper functioning of their body.

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

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.

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.

Resting energy expenditure-fat-free mass relationship: new insights provided by body composition modeling

2000 ◽  
Vol 279 (3) ◽  
pp. E539-E545 ◽  
Author(s):  
Zimian Wang ◽  
Stanley Heshka ◽  
Dympna Gallagher ◽  
Carol N. Boozer ◽  
Donald P. Kotler ◽  
...  
Keyword(s):  
Body Composition ◽  
Energy Expenditure ◽  
Resting Energy Expenditure ◽  
Fat Free Mass ◽  
New Approach ◽  
Human Energy ◽  
Adult Humans ◽  
Quantitative Manner ◽  
The Relationship ◽  
Resting Energy

The relationship between resting energy expenditure (REE) and metabolically active fat-free mass (FFM) is a cornerstone in the study of physiological aspects of body weight regulation and human energy requirements. Important questions, however, remain unanswered regarding the observed linear REE-FFM association in adult humans. This led us to develop a series of REE-body composition models that provide insights into the widely used simple linear REE-FFM prediction model derived experimentally in adult humans. The new models suggest that the REE-FFM relationship in mammals as a whole is curvilinear, that a segment of this function within a FFM range characteristic of adult humans can be fit with a linear equation almost identical to that observed from a composite review of earlier human studies, and that mammals as a whole exhibit a decrease in the proportion of FFM as high metabolic rate organs with greater FFM. The present study thus provides a new approach for examining REE-FFM relationships, advances in a quantitative manner previously observed albeit incompletely formulated REE-body composition associations, and identifies areas in need of additional research.

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.

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