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Titolo:
Predicting the resting metabolic rate of young Australian males
Autore:
van der Ploeg, GE; Gunn, SM; Withers, RT; Modra, AC; Keeves, JP; Chatterton, BE;
Indirizzi:
Flinders Univ S Australia, Sch Educ, Exercise Physiol Lab, Adelaide, SA 5001, Australia Flinders Univ S Australia Adelaide SA Australia 5001 , SA 5001, Australia Royal Adelaide Hosp, Dept Nucl Med, Adelaide, SA 5000, Australia Royal Adelaide Hosp Adelaide SA Australia 5000 elaide, SA 5000, Australia
Titolo Testata:
EUROPEAN JOURNAL OF CLINICAL NUTRITION
fascicolo: 3, volume: 55, anno: 2001,
pagine: 145 - 152
SICI:
0954-3007(200103)55:3<145:PTRMRO>2.0.ZU;2-G
Fonte:
ISI
Lingua:
ENG
Soggetto:
BODY-FAT; WOMEN; MEN;
Keywords:
four-compartment body composition model; hydrodensitometry; isotopic dilution; DXA;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Clinical Medicine
Life Sciences
Citazioni:
30
Recensione:
Indirizzi per estratti:
Indirizzo: Withers, RT Flinders Univ S Australia, Sch Educ, Exercise Physiol Lab, GPOBox 2100, Adelaide, SA 5001, Australia Flinders Univ S Australia GPO Box 2100 Adelaide SA Australia 5001
Citazione:
G.E. van der Ploeg et al., "Predicting the resting metabolic rate of young Australian males", EUR J CL N, 55(3), 2001, pp. 145-152

Abstract

Objectives: The aims of this study were: (a) to generate regression equations for predicting the resting metabolic rate (RMR) of 18 to 30-y-old Australian males from age, height, mass and fat-free mass (FFM); and (b) cross-validate RMR prediction equations, which are frequently used in Australia, against our measured and predicted values. Design: A power analysis demonstrated that 38 subjects would enable us to detect (alpha = 0.05, power = 0.80) statistically and physiologically significant differences of 8% between our predicted/measured RMRs and those predicted from the equations of other investigators. Subjects: Thirty-eight males ((X) over bar+/-s.d.: 24.3+/-3.3y; 85.04+/-13.82kg; 180.6+/-8.3cm) were recruited from advertisements placed in a university newsletter and on community centre noticeboards. Interventions: The following measurements were conducted: skinfold thicknesses, RMR using open circuit indirect calorimetry and FFM via a four-compartment (fat mass, total body water, bone mineral mass and residual) body composition model. Results: A multiple regression equation using the easily measured predictors of mass, height and age correlated 0.841 with RMR and the SEE was 521 kJ/day. Inclusion of FFM as a predictor increased both the RMR and the precision of prediction, but there was virtually no difference between FFM via the four-compartment model (R = 0.893, SEE = 433 kJ/day) and that predicted from skinfold thicknesses (R = 0.886, SEE = 440 kJ/day). The regression equations of Harris & Benedict (1919) and Schofield (1985) all overestimated the mean RMR of our subjects by 518-600 kJ/day (P < 0.001) and these errors were relatively constant across the range of measured RMR. The equations of Hayter & Henry (1994) and Piers ct al (1997) only produced physiologically significant errors at the lower end of our range of measurement. Conclusions: Equations need to be generated from a large database for the prediction of the RMR of 18 to 30-yold Australian males and FFM estimated from the regression of the sum of skinfold thicknesses on FFM via the four compartment body composition model needs to be further explored as an expedient RMR predictor.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 14/07/20 alle ore 06:43:00