![]() ![]() Resting metabolic rate (RMR) is an essential component of daily energy needs and accounts for approximately 60–70% of total energy expenditure in sedentary individuals ( Johnstone et al., 2005). Therefore, it may not suitable to use them in determining total energy expenditure. The results indicate that the predictive RMR equations failed to accurately predict RMR levels in the participants. 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. 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, whereas, in females, all equations differ significantly from the measured RMR. 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. 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 in female athletes. Stratification according to sex, the measured RMR was greater in athletes compared to controls. The Bland-Altman plot was performed to determine the mean bias and limits of agreement between measured and predicted RMRs. The results of each 12 prediction formulas were compared with the measured RMR using paired t-test. RMR was measured using a Fitmate GS (Cosmed, Italy). 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. 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. However, it remains unclear whether these predictive RMR equations accurately predict REE in the athletic populations. Predictive resting metabolic rate (RMR) equations are widely used to determine athletes’ resting energy expenditure (REE). ![]() 7Institute of Primary Care, University of Zurich, Zurich, Switzerland.6Division of Gastroenterology and Nutrition, Department of Pediatrics, McMaster University, Hamilton, ON, Canada.5Department of Physiotherapy and Rehabilitation, Faculty of Health Sciences, Ankara Yıldırım Beyazıt University, Ankara, Turkey.4Department of Nutrition and Dietetics, Faculty of Health Sciences, Istanbul Medeniyet University, Istanbul, Turkey.3Department of Statistics, Hacettepe University, Ankara, Turkey.2Department of Health Services, Sports General Directorship, The Ministry of Youth and Sports, Center of Athlete Training and Health Research, Ankara, Turkey.1Department of Sports Medicine, Ankara Yıldırım Beyazıt University, Yenimahalle Training and Research Hospital, Ankara, Turkey.Aydın Balci 1, Ebru Arslanoğlu Badem 2, Ayfer Ezgi Yılmaz 3, Aslı Devrim-Lanpir 4, Bihter Akınoğlu 2,5, Tuğba Kocahan 2, Adnan Hasanoğlu 2, Lee Hill 6, Thomas Rosemann 7 and Beat Knechtle 7* ![]()
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