Influence of methods used in body composition analysis on the prediction of resting energy expenditure

Accurate estimation of energy expenditure in a breastfeeding woman is crucial for maintaining the proper nutritional status of the woman and healthy development of the infant. The current literature does not contain data regarding resting energy expenditure (REE) in breastfeeding women. Using mathematical equations is the most common method of REE assessment. However, due to changes in metabolism and body composition during pregnancy and lactation, the mathematical equations used among the general population may not apply. The aim of this study was to evaluate the resting energy expenditure of exclusively breastfeeding women by using body composition analysis–estimated REE (eREE) and to provide the most appropriate predictive equations–predicted REE (pREE) based on anthropometric parameters to estimate it. This was a pilot study with 40 exclusively breastfeeding women. Height and weight were measured and body composition analysis was performed. We predicted REE using fourteen self-selected equations, based on anthropometric parameters and/or age, and/or sex. The median eREE was 1515.0 ± 68.4 kcal (95% Cl, 1477–1582 kcal) and the pREE ranged from 1149.7 kcal (95% Cl, 1088.7–1215.0) by Bernstein et al., to 1576.8 kcal (95% Cl, 1479.9–1683.4), by Müller et al. Significant differences between eREE and all pREE were observed (p < 0.001, except Korth et al. equations). The Müller et al. equation was the most accurate with the smallest individual variation. All predictive equations showed low agreement, and in most cases, the results were underestimated. These findings indicate the need for further studies to propose more suitable methods to determine the energy requirements for breastfeeding women.

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

10.21203/rs.3.rs-25229/v1 ◽

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.

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

Diagnostics ◽

10.3390/diagnostics11020340 ◽

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.

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Resting Energy Expenditure and Body Composition in Bedridden Institutionalized Elderly Women With Advanced-Stage Pressure Sores

The Journals of Gerontology Series A ◽

10.1093/gerona/62.3.317 ◽

2007 ◽

Vol 62 (3) ◽

pp. 317-322 ◽

Cited By ~ 15

Author(s):

G. Sergi ◽

A. Coin ◽

S. Mulone ◽

E. Castegnaro ◽

V. Giantin ◽

...

Keyword(s):

Body Composition ◽

Energy Expenditure ◽

Elderly Women ◽

Resting Energy Expenditure ◽

Pressure Sores ◽

Advanced Stage ◽

Institutionalized Elderly ◽

Resting Energy

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

Physiological Reports ◽

10.14814/phy2.13940 ◽

2018 ◽

Vol 6 (23) ◽

pp. e13940 ◽

Cited By ~ 1

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

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Resting Energy Expenditure and Cold Induced Thermogenesis in Patients with Overt Hyperthyroidism

The Journal of Clinical Endocrinology & Metabolism ◽

10.1210/clinem/dgab706 ◽

2021 ◽

Author(s):

Claudia Irene Maushart ◽

Jaël Rut Senn ◽

Rahel Catherina Loeliger ◽

Judith Siegenthaler ◽

Fabienne Bur ◽

...

Keyword(s):

Body Composition ◽

Energy Expenditure ◽

Skin Temperature ◽

Cold Exposure ◽

Resting Energy Expenditure ◽

Free T4 ◽

Free T3 ◽

Euthyroid State ◽

Overt Hyperthyroidism ◽

Resting Energy

Abstract Context Thyroid hormone is crucial for the adaptation to cold. Objective To evaluate the effect of hyperthyroidism on resting energy expenditure (REE), cold-induced thermogenesis (CIT) and changes in body composition and weight. Design Prospective cohort study. Setting Endocrine outpatient clinic at tertiary referral center. Patients Eighteen patients with overt hyperthyroidism. Main Outcome Measures We measured REE during hyperthyroidism, after restoring euthyroid TH levels and after 3 months of normal thyroid function. In fourteen patients energy expenditure (EE) was measured before and after a mild cold exposure of two hours and CIT was the difference between EEcold and EEwarm. Skin temperatures at eight positions were recorded during the study visits. Body composition was assessed by dual X-ray absorption. Results Free T4 (fT4) and free T3 (fT3) decreased significantly over time (fT4, p=0.0003; fT3, p=0.0001). REE corrected for lean body mass (LBM) decreased from 42 ± 6.7 kcal/24h/kg LBM in the hyperthyroid to 33±4.4 kcal/24h/kg LBM (-21%, p<0.0001 vs hyperthyroid) in the euthyroid state and three months later to 33 ± 5.2 kcal/24h/kg LBM (-21%, p=0.0022 vs. hyperthyroid, overall p<0.0001). Free T4 (p=0.0001) and free T3 (p<0.0001) were predictors of REE. CIT did not change from the hyperthyroid to the euthyroid state (p=0.96). Hyperthyroidism led to increased skin temperature at warm ambient conditions but did not alter core body temperature, nor skin temperature after cold exposure. Weight regain and body composition were not influenced by REE and CIT during the hyperthyroid state. Conclusions CIT is not increased in patients with overt hyperthyroidism.

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