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BMI and inverted BMI as predictors of fat mass in young people: a comparison across the ages

Authors :
Gabriele Ceccarelli
Massimo Bellato
Matteo Zago
Gabriella Cusella
Chiarella Sforza
Nicola Lovecchio
Source :
Annals of Human Biology, Vol 47, Iss 3, Pp 237-243 (2020)
Publication Year :
2020
Publisher :
Taylor & Francis Group, 2020.

Abstract

Background: The use of body mass index (BMI) could lead to over/under estimation of fat mass percentage (FM%). An alternative index (inverted BMI, iBMI) has been proposed as a better estimator of FM% in adults, while its practical feasibility in children and adolescents has not been fully investigated. Aim: To examine if iBMI can better estimate FM% than BMI in children/adolescents. Subjects and methods: Height, weight, and triceps and subscapularis skinfolds were measured in 6686 schoolchildren aged 11–14-years-old. BMI and iBMI (squared height/weight) were calculated; FM% was estimated by skinfold thicknesses. The Pearson correlation coefficient and the coefficient of determination were obtained to test the best regression model between the indexes and FM%. Results: FM% was linearly related to both indexes with R2 values that were overall > 0.7. No significant differences among the R2 values were found (p value = .2, ANOVA). Conclusion: BMI persists as a robust index for health surveillance screening in children/adolescents, being very intuitive and ready-to-use. Inverted BMI may be more accurate within a cohort of adults who experience only ponderal modifications, directly implicated in the variation of FM. In conclusion, the BMI remains a quick, handy and intuitive predictor of FM%.

Details

Language :
English
ISSN :
03014460 and 14645033
Volume :
47
Issue :
3
Database :
Directory of Open Access Journals
Journal :
Annals of Human Biology
Publication Type :
Academic Journal
Accession number :
edsdoj.1d4af9c16d134e39b3d4a6a3082b2b9f
Document Type :
article
Full Text :
https://doi.org/10.1080/03014460.2020.1738551