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Prediction of basal metabolic rate in obese children and adolescents considering pubertal stages and anthropometric characteristics or body composition.
Eur J Clin Nutr 2014; 68(6):695-9EJ

Abstract

BACKGROUND/OBJECTIVES

To develop and crossvalidate new equations for predicting basal metabolic rate (BMR) in obese children and adolescents in relation to pubertal stages, anthropometric characteristics or body composition.

SUBJECTS/METHODS

A total of 1696 obese Caucasian children and adolescents (mean body mass index z-score: 3.5±0.8) participated in this study. BMR was determined by indirect calorimetry and fat-free mass (FFM) and fat mass (FM) by bioelectrical impedance analysis. Equations were derived by stepwise multiple regression analysis using a calibration cohort of 848 subjects, and the equations were crossvalidated with a Bland and Altman method in the remaining 848 subjects.

RESULTS

Two new specific equations based on gender (1: males; 0: females), pubertal stages (from 1 to 5, assessed according Marshall & Tanner methods) and body weight (BW, kg), stature (m) or body composition (kg) were generated as follows: (1) BMR=(BW × 0.044)+(stature × 2.836)-(pubertal stage × 0.148)+(gender × 0.781)-0.551 (adjusted coefficient of determination (R(2)adj)= 0.69 and root mean squared error (RMSE)=0.954 MJ); (2) BMR=(FFM × 0.082)+(FM × 0.037)-(pubertal stage × 0.125)+(gender × 0.706)+2.528 (R(2)adj= 0.70 and RMSE=0.943 MJ). In the crossvalidation group, mean-predicted BMR was not significantly different from the mean-measured BMR (MBMR) for all children and adolescents, as well as for boys and girls (difference<2 %), and the limits of agreement (±2 s.d.) were +1.95 and -1.98 MJ/d, (P=NS). BMR was predicted accurately (90-110% of MBMR) in 67% of subjects.

CONCLUSION

The new prediction equations considering the pubertal stages allow an accurate and more appropriate (vs equations using chronological age) estimation of BMR in obese children and adolescents.

Authors+Show Affiliations

1] Department of Medical and Biological Sciences, University of Udine, Udine, Italy [2] School of Sport Sciences, University of Udine, Udine, Italy [3] Istituto Auxologico Italiano, IRCCS, Experimental Laboratory for Auxo-Endocrinological Research, Milan and Piancavallo (VB), Italy.Istituto Auxologico Italiano, IRCCS, Experimental Laboratory for Auxo-Endocrinological Research, Milan and Piancavallo (VB), Italy.Istituto Auxologico Italiano, IRCCS, Experimental Laboratory for Auxo-Endocrinological Research, Milan and Piancavallo (VB), Italy.Istituto Auxologico Italiano, IRCCS, Division of Auxology, Piancavallo (VB), Italy.1] Istituto Auxologico Italiano, IRCCS, Experimental Laboratory for Auxo-Endocrinological Research, Milan and Piancavallo (VB), Italy [2] Istituto Auxologico Italiano, IRCCS, Division of Auxology, Piancavallo (VB), Italy.

Pub Type(s)

Journal Article
Research Support, Non-U.S. Gov't
Validation Studies

Language

eng

PubMed ID

24595222

Citation

Lazzer, S, et al. "Prediction of Basal Metabolic Rate in Obese Children and Adolescents Considering Pubertal Stages and Anthropometric Characteristics or Body Composition." European Journal of Clinical Nutrition, vol. 68, no. 6, 2014, pp. 695-9.
Lazzer S, Patrizi A, De Col A, et al. Prediction of basal metabolic rate in obese children and adolescents considering pubertal stages and anthropometric characteristics or body composition. Eur J Clin Nutr. 2014;68(6):695-9.
Lazzer, S., Patrizi, A., De Col, A., Saezza, A., & Sartorio, A. (2014). Prediction of basal metabolic rate in obese children and adolescents considering pubertal stages and anthropometric characteristics or body composition. European Journal of Clinical Nutrition, 68(6), pp. 695-9. doi:10.1038/ejcn.2014.26.
Lazzer S, et al. Prediction of Basal Metabolic Rate in Obese Children and Adolescents Considering Pubertal Stages and Anthropometric Characteristics or Body Composition. Eur J Clin Nutr. 2014;68(6):695-9. PubMed PMID: 24595222.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Prediction of basal metabolic rate in obese children and adolescents considering pubertal stages and anthropometric characteristics or body composition. AU - Lazzer,S, AU - Patrizi,A, AU - De Col,A, AU - Saezza,A, AU - Sartorio,A, Y1 - 2014/03/05/ PY - 2013/08/26/received PY - 2014/01/22/revised PY - 2014/01/23/accepted PY - 2014/3/6/entrez PY - 2014/3/7/pubmed PY - 2015/1/13/medline SP - 695 EP - 9 JF - European journal of clinical nutrition JO - Eur J Clin Nutr VL - 68 IS - 6 N2 - BACKGROUND/OBJECTIVES: To develop and crossvalidate new equations for predicting basal metabolic rate (BMR) in obese children and adolescents in relation to pubertal stages, anthropometric characteristics or body composition. SUBJECTS/METHODS: A total of 1696 obese Caucasian children and adolescents (mean body mass index z-score: 3.5±0.8) participated in this study. BMR was determined by indirect calorimetry and fat-free mass (FFM) and fat mass (FM) by bioelectrical impedance analysis. Equations were derived by stepwise multiple regression analysis using a calibration cohort of 848 subjects, and the equations were crossvalidated with a Bland and Altman method in the remaining 848 subjects. RESULTS: Two new specific equations based on gender (1: males; 0: females), pubertal stages (from 1 to 5, assessed according Marshall & Tanner methods) and body weight (BW, kg), stature (m) or body composition (kg) were generated as follows: (1) BMR=(BW × 0.044)+(stature × 2.836)-(pubertal stage × 0.148)+(gender × 0.781)-0.551 (adjusted coefficient of determination (R(2)adj)= 0.69 and root mean squared error (RMSE)=0.954 MJ); (2) BMR=(FFM × 0.082)+(FM × 0.037)-(pubertal stage × 0.125)+(gender × 0.706)+2.528 (R(2)adj= 0.70 and RMSE=0.943 MJ). In the crossvalidation group, mean-predicted BMR was not significantly different from the mean-measured BMR (MBMR) for all children and adolescents, as well as for boys and girls (difference<2 %), and the limits of agreement (±2 s.d.) were +1.95 and -1.98 MJ/d, (P=NS). BMR was predicted accurately (90-110% of MBMR) in 67% of subjects. CONCLUSION: The new prediction equations considering the pubertal stages allow an accurate and more appropriate (vs equations using chronological age) estimation of BMR in obese children and adolescents. SN - 1476-5640 UR - https://www.unboundmedicine.com/medline/citation/24595222/Prediction_of_basal_metabolic_rate_in_obese_children_and_adolescents_considering_pubertal_stages_and_anthropometric_characteristics_or_body_composition_ L2 - http://dx.doi.org/10.1038/ejcn.2014.26 DB - PRIME DP - Unbound Medicine ER -