OBJECTIVES: The validity of equations for the calculation of resting metabolic rate (RMR) were studied and new predictive equations were developed. STUDY DESIGN: The RMR was measured in a sample of 371 10- to 16-year-old prepubertal and postpubertal children. The study group included 193 male (116 nonobese and 77 obese) and 178 female (119 nonobese and 59 obese) subjects; for each group the RMRs predicted from five equations recommended for this age group were compared. The RMR was assessed by indirect calorimetry with a ventilated hood system for 45 minutes after an overnight fast. Body composition was estimated from skin-fold measurements. RESULTS: The mean +/- SD RMR was found to be 5600 +/- 972 kJ/24 hr and 7223 +/- 1220 kJ/24 hr in nonobese and obese boys, and 5112 +/- 632 kJ/24 hr and 6665 +/- 1106 kJ/24 hr in nonobese and obese girls, respectively. All five equations applicable to 10- to 16-year-old children overestimated RMR by 7.5% to 18.1% (p < 0.001 for each equation). Stepwise regression analysis, with independent variables such as age, weight, height, and gender, allowed development of new predictive equations for the calculation of RMR in 10- to 16-year-old boys (RMR = 50.9 Weight (kg) + 25.3 Height (cm) -50.3 Age (yr) + 26.9; R2 = 0.884, p < 0.0001) and girls (RMR = 51.2 Weight (kg) + 24.5 Height (cm) - 207.5 Age (yr) + 1629.8; R2 = 0.824, p < 0.0001). These predictive equations were tested in a second, independent cohort of children (80 male and 61 female subject) and were found to give a reliable estimate of RMR in 10- to 16-year-old obese and nonobese adolescents. CONCLUSIONS: The currently used predictive equations overestimate RMR in 10- to 16-year-old children. The use of the newly developed equations is recommended.
OBJECTIVES: The validity of equations for the calculation of resting metabolic rate (RMR) were studied and new predictive equations were developed. STUDY DESIGN: The RMR was measured in a sample of 371 10- to 16-year-old prepubertal and postpubertal children. The study group included 193 male (116 nonobese and 77 obese) and 178 female (119 nonobese and 59 obese) subjects; for each group the RMRs predicted from five equations recommended for this age group were compared. The RMR was assessed by indirect calorimetry with a ventilated hood system for 45 minutes after an overnight fast. Body composition was estimated from skin-fold measurements. RESULTS: The mean +/- SD RMR was found to be 5600 +/- 972 kJ/24 hr and 7223 +/- 1220 kJ/24 hr in nonobese and obeseboys, and 5112 +/- 632 kJ/24 hr and 6665 +/- 1106 kJ/24 hr in nonobese and obesegirls, respectively. All five equations applicable to 10- to 16-year-old children overestimated RMR by 7.5% to 18.1% (p < 0.001 for each equation). Stepwise regression analysis, with independent variables such as age, weight, height, and gender, allowed development of new predictive equations for the calculation of RMR in 10- to 16-year-old boys (RMR = 50.9 Weight (kg) + 25.3 Height (cm) -50.3 Age (yr) + 26.9; R2 = 0.884, p < 0.0001) and girls (RMR = 51.2 Weight (kg) + 24.5 Height (cm) - 207.5 Age (yr) + 1629.8; R2 = 0.824, p < 0.0001). These predictive equations were tested in a second, independent cohort of children (80 male and 61 female subject) and were found to give a reliable estimate of RMR in 10- to 16-year-old obese and nonobese adolescents. CONCLUSIONS: The currently used predictive equations overestimate RMR in 10- to 16-year-old children. The use of the newly developed equations is recommended.
Authors: Juliet D Gotthardt; Jessica L Verpeut; Bryn L Yeomans; Jennifer A Yang; Ali Yasrebi; Troy A Roepke; Nicholas T Bello Journal: Endocrinology Date: 2015-12-14 Impact factor: 4.736
Authors: David A White; Vincent S Staggs; Veronica Williams; Trent C Edwards; Robin Shook; Valentina Shakhnovich Journal: Child Obes Date: 2019-03-19 Impact factor: 2.992
Authors: I S Farooqi; G S Yeo; J M Keogh; S Aminian; S A Jebb; G Butler; T Cheetham; S O'Rahilly Journal: J Clin Invest Date: 2000-07 Impact factor: 14.808
Authors: Catherine S Mitchell; David B Savage; Sylvie Dufour; Nadia Schoenmakers; Peter Murgatroyd; Douglas Befroy; David Halsall; Samantha Northcott; Philippa Raymond-Barker; Suzanne Curran; Elana Henning; Julia Keogh; Penny Owen; John Lazarus; Douglas L Rothman; I Sadaf Farooqi; Gerald I Shulman; Krishna Chatterjee; Kitt Falk Petersen Journal: J Clin Invest Date: 2010-03-08 Impact factor: 14.808
Authors: Jennifer R McDuffie; Diane C Adler-Wailes; Jane Elberg; Emily N Steinberg; Erica M Fallon; Andrew M Tershakovec; Silva A Arslanian; James P Delany; George A Bray; Jack A Yanovski Journal: Am J Clin Nutr Date: 2004-08 Impact factor: 7.045