Journal article
Modeling energy expenditure in children and adolescents using quantile regression
Journal of applied physiology (1985), v 115(2)
15 Jul 2013
PMID: 23640591
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Advanced mathematical models have the potential to capture the complex metabolic and physiological processes that result in energy expenditure (EE). Study objective is to apply quantile regression (QR) to predict EE and determine quantile-dependent variation in covariate effects in nonobese and obese children. First, QR models will be developed to predict minute-by-minute awake EE at different quantile levels based on heart rate (HR) and physical activity (PA) accelerometry counts, and child characteristics of age, sex, weight, and height. Second, the QR models will be used to evaluate the covariate effects of weight, PA, and HR across the conditional EE distribution. QR and ordinary least squares (OLS) regressions are estimated in 109 children, aged 5–18 yr. QR modeling of EE outperformed OLS regression for both nonobese and obese populations. Average prediction errors for QR compared with OLS were not only smaller at the median τ = 0.5 (18.6 vs. 21.4%), but also substantially smaller at the tails of the distribution (10.2 vs. 39.2% at τ = 0.1 and 8.7 vs. 19.8% at τ = 0.9). Covariate effects of weight, PA, and HR on EE for the nonobese and obese children differed across quantiles (
P
< 0.05). The associations (linear and quadratic) between PA and HR with EE were stronger for the obese than nonobese population (
P
< 0.05). In conclusion, QR provided more accurate predictions of EE compared with conventional OLS regression, especially at the tails of the distribution, and revealed substantially different covariate effects of weight, PA, and HR on EE in nonobese and obese children.
Metrics
Details
- Title
- Modeling energy expenditure in children and adolescents using quantile regression
- Creators
- Yunwen Yang - Department of Epidemiology and Biostatistics, Drexel University, Philadelphia, PennsylvaniaAnne L Adolph - United States Department of Agriculture/Agricultural Research Service, Children's Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, Houston, TexasMaurice R Puyau - United States Department of Agriculture/Agricultural Research Service, Children's Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, Houston, TexasFiroz A Vohra - United States Department of Agriculture/Agricultural Research Service, Children's Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, Houston, TexasNancy F Butte - United States Department of Agriculture/Agricultural Research Service, Children's Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, Houston, TexasIssa F Zakeri - Department of Epidemiology and Biostatistics, Drexel University, Philadelphia, Pennsylvania
- Publication Details
- Journal of applied physiology (1985), v 115(2)
- Publisher
- American Physiological Society; Bethesda, MD
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Epidemiology and Biostatistics
- Web of Science ID
- WOS:000321819000014
- Scopus ID
- 2-s2.0-84880528015
- Other Identifier
- 991014878145604721
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Physiology
- Sport Sciences