Development of population-specific prediction equations for bioelectrical impedance analyses in Vietnamese children. uri icon

abstract

  • There is a need for accurate, inexpensive and field-friendly methods to assess body composition in children. Bioelectrical impedance analysis (BIA) is a promising approach; however, there have been limited validation and use among young children in resource-poor settings. We aim to develop and validate population-specific prediction equations for estimating total fat mass (FM), fat free-mass (FFM) and percentage body fat (PBF) in Vietnamese children (4-7 years) using reactance and resistance from BIA, anthropometric variables and demographic information. We conducted a cross-sectional survey of 120 children. Body composition was measured using dual-energy X-ray absorptiometry (DXA), BIA and anthropometry. To develop prediction equations, we split all data into development (70 %) and validation datasets (30 %). The model performance was evaluated using predicted residual error sum of squares, root mean squared error (RMSE), mean absolute error (MAE) and R-2. We identified a top performing model with the least number of parameters (age, sex, weight and resistance index or resistance and height), low RMSE (FM 0 center dot 70, FFM 0 center dot 74, PBF 3 center dot 10), low MAE (FM 0 center dot 55, FFM 0 center dot 62, PBF 2 center dot 49), high R-2 (FM 0 center dot 95, FFM 0 center dot 92, PBF 0 center dot 82) and the least difference between predicted values and actual values from DXA (FM 0 center dot 03 kg or 0 center dot 01 sd, FFM 0 center dot 06 kg or 0 center dot 02 sd, PBF 0 center dot 27 % or 0 center dot 04 sd). In conclusion, we developed the first valid and highly predictive equations to estimate FM, FFM and PBF in Vietnamese children using BIA. These findings have important implications for future research on the double burden of disease and risks associated with overweight and obesity in young children.

publication date

  • 2020
  • 2020