Develepment and validation of a BIA prediction equation for 11-13 year old Sri Lankan girls

Abstract

INTRODUCTION AND OBJECTIVES: Population-specific measures of body composition are important in management of childhood obesity. This study aimed to develop and validate a bioelectrical impedance analysis (BIA) equation to assess total body water (TBW) and fat mass (FM) in Sri Lankan girls aged 11-13 years. METHODS: Forty-six 11-13 year-old healthy school girls were purposively selected and randomly divided into model development (n=30) and model validation (n=l6) sub-samples. Weight, height and impedance using BIA were measured. TBW was determined and FM was derived through the criterion Deuterium-dilution technique. Prediction equations for TBW and FM were developed using impedance index (heightvimpedance; cm2/Q), weight and height as independent variables. Final equations were developed combining the two sub-samples. Validity was assessed using correlation coefficients, paired-samples T-test and Bland-Altman plots. RESULTS: In the validation sample, predicted TBW and FM showed significant correlations and did not significantly differ from reference values, Final prediction equation for TBW had a R2 of 92.3% and RMSE of l.035 while FM prediction equation had a R2 of 94.3% and RMSE of 1.38. TBW predicted from new equation (19.48± 3.45kg) was not significantly different from reference TBW (19.52±3.65kg) and the two measures were significantly correlated (r=0.975, p<0.001). Similarly, predicted FM (10.41±4.39kg) was not significantly different from reference FM (10.38±4.74kg) and predicted and reference values were significantly correlated (r=0.974, p<0.001). In both prediction equations, the majority ofresiduals were within mean± l.96SD. CONCLUSION: Newly developed prediction equations for BIA assessment of TBW and FM show high validity compared to reference technique.

Description

Poster presentation Abstract (PP142), 131st Annual Scientific Sessions, Sri Lanka Medical Association, 26th-29th July 2018 Colombo, Sri Lanka

Keywords

BIA prediction equation

Citation

Proceedings of the Sri Lanka Medical Association, Anniversary Academic Sessions. 2018; 63(sup 1):132

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