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Calibration of Bioelectrical Impedance Analysis Against Deuterium Dilution for Body Composition Assessment in Stunted Ugandan Children.

Authors :
Lewis JI
Friis H
Mupere E
Wells JC
Grenov B
Source :
The Journal of nutrition [J Nutr] 2023 Feb; Vol. 153 (2), pp. 426-434. Date of Electronic Publication: 2022 Dec 29.
Publication Year :
2023

Abstract

Background: BIA represents an important tool in body composition (BC) assessment, especially in low-income settings in which simple and affordable options are preferred. There is a particular need to measure BC in stunted children, in which cases population-specific BIA estimating equations are lacking.<br />Objectives: We calibrated an equation to estimate body composition from BIA using deuterium dilution ( <superscript>2</superscript> H) as the criterion method in stunted children.<br />Methods: We measured BC with <superscript>2</superscript> H and performed BIA in stunted Ugandan children (n = 50). Multiple linear regression models were constructed to predict <superscript>2</superscript> H-derived FFM from BIA-derived whole-body impedance and other relevant predictors. Model performance was expressed as adjusted R <superscript>2</superscript> and RMSE. Prediction errors were also calculated.<br />Results: Participants were aged 16-59 mo, of whom 46% were girls, and their median (IQR) height-for-age z-score (HAZ) was -2.58 (-2.92 to -2.37) according to the WHO growth standards. Impedance index (height <superscript>2</superscript> /impedance measured at 50 kHz) alone explained 89.2% variation in FFM and had an RMSE of 583 g (precision error 6.5%). The final model contained age, sex, impedance index, and height-for-age z-score as predictors and explained 94.5% variation in FFM with an RMSE of 402 g (precision error 4.5%).<br />Conclusions: We present a BIA calibration equation for a group of stunted children with a relatively low prediction error. This may help evaluate the efficacy of nutritional supplementation in large-scale trials in the same population. J Nutr 20XX;xxx:xx.<br /> (Copyright © 2023 American Society for Nutrition. Published by Elsevier Inc. All rights reserved.)

Details

Language :
English
ISSN :
1541-6100
Volume :
153
Issue :
2
Database :
MEDLINE
Journal :
The Journal of nutrition
Publication Type :
Academic Journal
Accession number :
36894235
Full Text :
https://doi.org/10.1016/j.tjnut.2022.12.028