Development of a New Equation for the Prediction of Resting Metabolic Rate in Sri Lankan Adults

Pathima Fairoosa; Pulani Lanerolle; Maduka De Lanerolle-Dias; V Pujitha Wickramasinghe; Indu Waidyatilaka

doi:10.1155/2021/4170137

Development of a New Equation for the Prediction of Resting Metabolic Rate in Sri Lankan Adults

Int J Endocrinol. 2021 Jan 20:2021:4170137. doi: 10.1155/2021/4170137. eCollection 2021.

Authors

Pathima Fairoosa¹, Pulani Lanerolle¹, Maduka De Lanerolle-Dias¹, V Pujitha Wickramasinghe², Indu Waidyatilaka¹

Affiliations

¹ Department of Biochemistry and Molecular Biology, Faculty of Medicine, University of Colombo, PO Box 271, Kynsey Road, Colombo 8, Sri Lanka.
² Department of Paediatrics, Faculty of Medicine, University of Colombo, PO Box 271, Kynsey Road, Colombo 8, Sri Lanka.

Abstract

Resting metabolic rate (RMR) is the key determinant of the energy requirement of an individual. Measurement of RMR by indirect calorimetry is not feasible in field settings and therefore equation-based calculations are used. Since a valid equation is not available for Sri Lankans, it is important to develop a new population-specific equation for field use. The study objective was to develop a new equation for the prediction of RMR in healthy Sri Lankans using a reference method, indirect calorimetry. RMR data were collected from fifty-seven (male 27) adults aged 19 to 60 years. They were randomly assigned to validation (n = 28) and cross-validation (n = 19) groups using the statistical package R (version 3.6.3). Height, weight, and RMR were measured. Multivariable fractional polynomials (MFP) were used to determine explanatory variables and their functional forms for the model. A variable shrinkage method was used to find the best fit predictor coefficients of the equation. The developed equation was cross-validated on an independent group. Weight and sex code (male = 1; female = 0) were identified as reliable independent variables. The new equation developed was RMR (kcal/day) = 284.5 + (13.2 x weight) + (133.0 x sex code). Independent variables of the prediction equation were able to predict 88.5% of the variance. Root mean square error (RMSE) of the prediction equation in validation and cross-validation was 88.11 kcal/day and 79.03 kcal/day, respectively. The equation developed in this study is suitable for predicting RMR in Sri Lankan adults.