Resting Energy Expenditure in Elite Female Athletes of Different Sports

2020 ◽  
Author(s):  
Olivia Di Vincenzo ◽  
Maurizio Marra ◽  
Delia Morlino ◽  
Enza Speranza ◽  
Rosa Sammarco ◽  
...  
Keyword(s):  
Energy Expenditure ◽  
Female Athletes ◽  
Resting Energy Expenditure ◽  
Resting Energy

scholarly journals Resting Energy Expenditure Can Be Assessed by Fat-Free Mass in Female Athletes Regardless of Body Size

2011 ◽  
Vol 57 (1) ◽  
pp. 22-29 ◽  
Author(s):  
Motoko TAGUCHI ◽  
Kazuko ISHIKAWA-TAKATA ◽  
Wakako TATSUTA ◽  
Chisa KATSURAGI ◽  
Chiyoko USUI ◽  
...  
Keyword(s):  
Body Size ◽  
Energy Expenditure ◽  
Female Athletes ◽  
Resting Energy Expenditure ◽  
Fat Free Mass ◽  
Resting Energy

scholarly journals Current Predictive Resting Metabolic Rate Equations Are Not Sufficient to Determine Proper Resting Energy Expenditure in Olympic Young Adult National Team Athletes

2021 ◽  
Vol 12 ◽  
Author(s):  
Aydın Balci ◽  
Ebru Arslanoğlu Badem ◽  
Ayfer Ezgi Yılmaz ◽  
Aslı Devrim-Lanpir ◽  
Bihter Akınoğlu ◽  
...  
Keyword(s):  
Energy Expenditure ◽  
Metabolic Rate ◽  
Female Athletes ◽  
Resting Metabolic Rate ◽  
Resting Energy Expenditure ◽  
Mean Difference ◽  
Fat Free Mass ◽  
Male Athletes ◽  
National Team ◽  
Resting Energy

Predictive resting metabolic rate (RMR) equations are widely used to determine athletes’ resting energy expenditure (REE). However, it remains unclear whether these predictive RMR equations accurately predict REE in the athletic populations. The purpose of the study was to compare 12 prediction equations (Harris-Benedict, Mifflin, Schofield, Cunningham, Owen, Liu’s, De Lorenzo) with measured RMR in Turkish national team athletes and sedentary controls. A total of 97 participants, 49 athletes (24 females, 25 males), and 48 sedentary (28 females, 20 males), were recruited from Turkey National Olympic Teams at the Ministry of Youth and Sports. RMR was measured using a Fitmate GS (Cosmed, Italy). The results of each 12 prediction formulas were compared with the measured RMR using paired t-test. The Bland-Altman plot was performed to determine the mean bias and limits of agreement between measured and predicted RMRs. Stratification according to sex, the measured RMR was greater in athletes compared to controls. The closest equation to the RMR measured by Fitmate GS was the Harris-Benedict equation in male athletes (mean difference -8.9 (SD 257.5) kcal/day), and Liu’s equation [mean difference -16.7 (SD 195.0) kcal/day] in female athletes. However, the intra-class coefficient (ICC) results indicated that all equations, including Harris-Benedict for male athletes (ICC = 0.524) and Liu’s for female athletes (ICC = 0.575), had a moderate reliability compared to the measured RMR. In sedentary subjects, the closest equation to the measured RMR is the Nelson equation in males, with the lowest RMSE value of 118 kcal/day [mean difference: 10.1 (SD 117.2) kJ/day], whereas, in females, all equations differ significantly from the measured RMR. While Nelson (ICC = 0.790) had good and Owen (ICC = 0.722) and Mifflin (calculated using fat-free mass) (ICC = 0.700) had moderate reliability in males, all predictive equations showed poor reliability in females. The results indicate that the predictive RMR equations failed to accurately predict RMR levels in the participants. Therefore, it may not suitable to use them in determining total energy expenditure.

Muscle Function and Resting Energy Expenditure in Female Athletes with Cystic Fibrosis

2003 ◽  
Vol 168 (12) ◽  
pp. 1476-1480 ◽  
Author(s):  
Hiran C. Selvadurai ◽  
Jane Allen ◽  
Toos Sachinwalla ◽  
James Macauley ◽  
Cameron J. Blimkie ◽  
...  
Keyword(s):  
Cystic Fibrosis ◽  
Energy Expenditure ◽  
Muscle Function ◽  
Female Athletes ◽  
Resting Energy Expenditure ◽  
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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