Predicting the Basal Metabolic Rate in Adolescents: A Correlated (Re)-Analysis

Authors

  • Siti Haslinda Mohd Din
  • Bee Koon Poh
  • Mohd Ismail Noor
  • Christiani Henry
  • Emmanuel Lesaffre

DOI:

https://doi.org/10.11113/matematika.v29.n.575

Abstract

A basal metabolic rate(BMR) that is too low is an indicator of a poor physical condition, and could be one of the reasons for overweight. Measuring BMR though, is a time-consuming exercise, and there has long been interest in developing statistical models to predict BMR from demographic and anthropometric measurements. Poh et al. [1] developed ordinary linear regression models on a cohort of 139 Malaysian children measured three years bi-annually. However, since each child contributed six times to the total data set, these models ignore the correlated nature of the data. We re-analyzed these data using correlated linear models. We show that our approach taking correlation into account is important to establish important covariates, but does not improve prediction. Keywords: Basal metabolic rate; correlated data linear model; linear mixed model 2010 Mathematics Subject Classification: 62P10

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Published

2013-06-01

How to Cite

Mohd Din, S. H., Poh, B. K., Noor, M. I., Henry, C., & Lesaffre, E. (2013). Predicting the Basal Metabolic Rate in Adolescents: A Correlated (Re)-Analysis. MATEMATIKA: Malaysian Journal of Industrial and Applied Mathematics, 29, 19–32. https://doi.org/10.11113/matematika.v29.n.575

Issue

Section

Mathematics