scholarly journals Subclinical Hypothyroidism in Obese Patients: Relation to Resting Energy Expenditure, Serum Leptin, Body Composition, and Lipid Profile

2001 ◽  
Vol 9 (3) ◽  
pp. 196-201 ◽  
Author(s):  
Mariantonella Tagliaferri ◽  
Maria Elisa Berselli ◽  
Giovanna Calò ◽  
Alessandro Minocci ◽  
Giulio Savia ◽  
...  
Keyword(s):  
Body Composition ◽  
Energy Expenditure ◽  
Lipid Profile ◽  
Subclinical Hypothyroidism ◽  
Resting Energy Expenditure ◽  
Obese Patients ◽  
Serum Leptin ◽  
Resting Energy

scholarly journals Resting Energy Expenditure and Body Composition in Overweight Men and Women Living in a Temperate Climate

2020 ◽  
Vol 9 (1) ◽  
pp. 203
Author(s):  
Marcos Martin-Rincon ◽  
Mario Perez-Valera ◽  
David Morales-Alamo ◽  
Ismael Perez-Suarez ◽  
Cecilia Dorado ◽  
...  
Keyword(s):  
Body Composition ◽  
Energy Expenditure ◽  
Resting Energy Expenditure ◽  
The Body ◽  
Temperate Climate ◽  
Obese Patients ◽  
Men And Women ◽  
Significant Bias ◽  
Overweight Or Obesity ◽  
Resting Energy

This study aimed to determine whether the measured resting energy expenditure (REE) in overweight and obese patients living in a temperate climate is lower than the predicted REE; and to ascertain which equation should be used in patients living in a temperate climate. REE (indirect calorimetry) and body composition (DXA) were measured in 174 patients (88 men and 86 women; 20–68 years old) with overweight or obesity (BMI 27–45 kg m−2). All volunteers were residents in Gran Canaria (monthly temperatures: 18–24 °C). REE was lower than predicted by most equations in our population. Age and BMI were similar in both sexes. In the whole population, the equations of Mifflin, Henry and Rees, Livingston and Owen, had similar levels of accuracy (non-significant bias of 0.7%, 1.1%, 0.6%, and −2.2%, respectively). The best equation to predict resting energy expenditure in overweight and moderately obese men and women living in a temperate climate all year round is the Mifflin equation. In men, the equations by Henry and Rees, Livingston, and by Owen had predictive accuracies comparable to that of Mifflin. The body composition-based equation of Johnston was slightly more accurate than Mifflin’s in men. In women, none of the body composition-based equations outperformed Mifflin’s.

scholarly journals Validity of Predictive Equations for Resting Energy Expenditure Developed for Obese Patients: Impact of Body Composition Method

Nutrients ◽  
2018 ◽  
Vol 10 (1) ◽  
pp. 63 ◽  
Author(s):  
Najate Achamrah ◽  
Pierre Jésus ◽  
Sébastien Grigioni ◽  
Agnès Rimbert ◽  
André Petit ◽  
...  
Keyword(s):  
Body Composition ◽  
Energy Expenditure ◽  
Resting Energy Expenditure ◽  
Obese Patients ◽  
Predictive Equations ◽  
Composition Method ◽  
Resting Energy

scholarly journals Resting energy expenditure is not increased in mildly hyperglycaemic obese diabetic patients

2006 ◽  
Vol 96 (5) ◽  
pp. 945-948 ◽  
Author(s):  
M. Ryan ◽  
A. Sallé ◽  
G. Guilloteau ◽  
M. Genaitay ◽  
M. B. E. Livingstone ◽  
...  
Keyword(s):  
Body Composition ◽  
Energy Expenditure ◽  
Resting Energy Expenditure ◽  
Glycated Haemoglobin ◽  
Fat Free Mass ◽  
Diabetic Patients ◽  
Obese Patients ◽  
Obese People ◽  
Resting Energy

Resting energy expenditure (REE) is believed to be increased in type 2 diabetes, an increase that is associated with deteriorating glucose tolerance during its development. Meanwhile, insulin resistance, a state linked to obesity and observed in all type 2 diabetic patients, is associated with reduced REE. Our aim was to compare REE in obese patients with and without diabetes. REE, body composition (total body water, density, percentage fat and fat-free mass: 3-compartment model) and metabolic control were assessed in fifty obese Caucasian patients with diabetes (glycated haemoglobin level 7·6 (sd 1·5) %) and fifty obese patients who were non-diabetic. Despite being more overweight and younger, obese non-diabetic patients had an absolute REE (7·73 (sd 1·44) v. 8·12 (sd 1·37) MJ; P=0·17) and percentage fat-free mass similar to those of obese diabetic patients. Even when adjusted for differences in body composition, REE remained similar in both groups. Furthermore, REE (absolute and adjusted) was unaffected by both glucose level and control (glycated haemoglobin), with fat-free mass being the only determinant of REE. We conclude that REE is not necessarily increased by the presence of diabetes in obese people.

Relationships of Serum Leptin to Body Composition and Resting Energy Expenditure

1998 ◽  
Vol 30 (10) ◽  
pp. 646-647 ◽  
Author(s):  
A. Campostano ◽  
G. Grillo ◽  
D. Bessarione ◽  
R. De Grandi ◽  
G. Adami
Keyword(s):  
Body Composition ◽  
Energy Expenditure ◽  
Resting Energy Expenditure ◽  
Serum Leptin ◽  
Resting Energy

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.

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