Development and cross-validation of predictive equation for estimating total body lean in children

Carmela Colica, Laura Di Renzo, Paola Gualtieri, Lorenzo Romano, Renata Costa De Miranda, Antonino De Lorenzo, Ivana Purificato

Research output: Contribution to journalArticle

Abstract

Aim. To develop and cross-validate a predictive equation for estimating lean body mass (LBM) in children, based on bioelectrical impedance analysis (BIA) and anthropometric parameters, and to compare our equation with other predictive methods. Methods. We evaluated body composition of 155 children (age 5-14 years) by BIA and dual energy X-ray absorptiometry (DXA). Children were divided in two groups: developing set and cross-validation set. Statistical analysis as multiple regression and Bland-Altman methods were performed. Results. From developing set (105 children) a predictive LBM (kg) equation was created. From the cross-validated set (35 children), our equation was seen to agree with LBM (kg) by DXA. On the contrary, LBM predicted by Schaefer’s equation and BIA did not agree with the criterion measure. Conclusions. This cross-validated equation can be useful in epidemiological studies and also in clinical practice, permitting a better definition and follow up of children’s body composition.

Original languageEnglish
Pages (from-to)20-27
Number of pages8
JournalAnnali dell'Istituto Superiore di Sanita
Volume54
Issue number1
DOIs
Publication statusPublished - Jan 1 2018
Externally publishedYes

Keywords

  • Body composition
  • Children
  • Dual energy X-ray absorptiometry
  • Lean body mass
  • Predictive equation

ASJC Scopus subject areas

  • Public Health, Environmental and Occupational Health

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    Colica, C., Di Renzo, L., Gualtieri, P., Romano, L., De Miranda, R. C., De Lorenzo, A., & Purificato, I. (2018). Development and cross-validation of predictive equation for estimating total body lean in children. Annali dell'Istituto Superiore di Sanita, 54(1), 20-27. https://doi.org/10.4415/ANN_18_01_06