TY - JOUR AU - Mohd Din, Siti Haslinda AU - Poh, Bee Koon AU - Noor, Mohd Ismail AU - Henry, Christiani AU - Lesaffre, Emmanuel PY - 2013/06/01 Y2 - 2024/03/29 TI - Predicting the Basal Metabolic Rate in Adolescents: A Correlated (Re)-Analysis JF - MATEMATIKA JA - MATEMATIKA VL - 29 IS - SE - Mathematics DO - 10.11113/matematika.v29.n.575 UR - https://matematika.utm.my/index.php/matematika/article/view/575 SP - 19-32 AB - 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 ER -