Predictive Fat Mass Equations for Children with Inflammatory Bowel Disease
release_73fg62ypabbkdfvxjcfnsiqq34
by
Francesca Penagini,
Alessandro Leone,
Barbara Borsani,
Alessandra Bosetti,
Dario Dilillo,
Giulia Rendo,
Valeria Calcaterra,
Simona Bertoli,
Stefano Mora,
Alberto Battezzati,
Giorgio Bedogni,
Gian Vincenzo Zuccotti
2021 Volume Publish Ahead of Print, Issue 4, e98-e104
Abstract
Evaluate accuracy of skinfold thicknesses and body mass index (BMI) for the prediction of fat mass percentage (FM%) in pediatric inflammatory bowel disease (IBD) and to develop population specific formulae based on anthropometry for estimation of FM%.
IBD children (n = 30) and healthy controls (HCs, n = 144) underwent anthropometric evaluation and Dual-energy X-ray absorptiometry (DEXA) scan, as the clinical reference for measurement of body composition. Body FM% estimated with skinfolds thickness was compared with FM% measured with DEXA. By means of four prediction models, population specific formulae for estimation of FM% were developed.
No significant difference in terms of FM% measured by DEXA was found between IBD population and HCs (FM% 29.6% vs 32.2%, p = 0.108). Triceps skinfold thickness (TSF, Model 2) was better than BMI (Model 1) at predicting FM% (82% vs. 68% of variance). The sum of two skinfolds (biceps + triceps; SF2, Model 3) showed an improvement in the prediction of FM% as compared to TSF, Model 2 (86% vs. 82% of variance). The sum of four skinfolds (biceps + triceps + suprailiac + subscapular; Model 4) showed further improvement in the prediction of FM% as compared to SF2 (88% vs. 86% of variance).
The sum of 4 skinfolds is the most accurate in predicting FM% in paediatric IBD. The sum of 2 skinfolds is less accurate but more feasible and less prone to error. The newly developed population specific formulae could be a valid tool for estimation of body composition in IBD population and an alternative to DEXA measurement.
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