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A height-weight formula to measure body fat in childhood obesity
BACKGROUND: The assessment of body composition is central in diagnosis and treatment of paediatric obesity, but a criterion method is not feasible in clinical practice. Even the use of bioelectrical impedance analysis (BIA) is limited in children. Body mass index (BMI) Z-score is frequently used as...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9210685/ https://www.ncbi.nlm.nih.gov/pubmed/35729585 http://dx.doi.org/10.1186/s13052-022-01285-8 |
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author | Licenziati, Maria Rosaria Ballarin, Giada Iannuzzo, Gabriella Lonardo, Maria Serena Di Vincenzo, Olivia Iannuzzi, Arcangelo Valerio, Giuliana |
author_facet | Licenziati, Maria Rosaria Ballarin, Giada Iannuzzo, Gabriella Lonardo, Maria Serena Di Vincenzo, Olivia Iannuzzi, Arcangelo Valerio, Giuliana |
author_sort | Licenziati, Maria Rosaria |
collection | PubMed |
description | BACKGROUND: The assessment of body composition is central in diagnosis and treatment of paediatric obesity, but a criterion method is not feasible in clinical practice. Even the use of bioelectrical impedance analysis (BIA) is limited in children. Body mass index (BMI) Z-score is frequently used as a proxy index of body composition, but it does not discriminate between fat mass and fat-free mass. We aimed to assess the extent to which fat mass and percentage of body fat estimated by a height-weight equation agreed with a BIA equation in youths with obesity from South Italy. Furthermore, we investigated the correlation between BMI Z-score and fat mass or percentage of body mass estimated by these two models. METHODS: One-hundred-seventy-four youths with obesity (52.3% males, mean age 10.8 ± 1.9) were enrolled in this cross-sectional study. Fat mass and percentage of body fat were calculated according to a height-weight based prediction model and to a BIA prediction model. RESULTS: According to Bland–Altman statistics, mean differences were relatively small for both fat mass (+ 0.65 kg) and percentage of body fat (+ 1.27%) with an overestimation at lower mean values; the majority of values fell within the limits of agreement. BMI Z-score was significantly associated with both fat mass and percentage of body fat, regardless of the method, but the strength of correlation was higher when the height-weight equation was considered (r = 0.82; p < 0.001). CONCLUSIONS: This formula may serve as surrogate for body fat estimation when instrumental tools are not available. Dealing with changes of body fat instead of BMI Z-score may help children and parents to focus on diet for health. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13052-022-01285-8. |
format | Online Article Text |
id | pubmed-9210685 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-92106852022-06-22 A height-weight formula to measure body fat in childhood obesity Licenziati, Maria Rosaria Ballarin, Giada Iannuzzo, Gabriella Lonardo, Maria Serena Di Vincenzo, Olivia Iannuzzi, Arcangelo Valerio, Giuliana Ital J Pediatr Research BACKGROUND: The assessment of body composition is central in diagnosis and treatment of paediatric obesity, but a criterion method is not feasible in clinical practice. Even the use of bioelectrical impedance analysis (BIA) is limited in children. Body mass index (BMI) Z-score is frequently used as a proxy index of body composition, but it does not discriminate between fat mass and fat-free mass. We aimed to assess the extent to which fat mass and percentage of body fat estimated by a height-weight equation agreed with a BIA equation in youths with obesity from South Italy. Furthermore, we investigated the correlation between BMI Z-score and fat mass or percentage of body mass estimated by these two models. METHODS: One-hundred-seventy-four youths with obesity (52.3% males, mean age 10.8 ± 1.9) were enrolled in this cross-sectional study. Fat mass and percentage of body fat were calculated according to a height-weight based prediction model and to a BIA prediction model. RESULTS: According to Bland–Altman statistics, mean differences were relatively small for both fat mass (+ 0.65 kg) and percentage of body fat (+ 1.27%) with an overestimation at lower mean values; the majority of values fell within the limits of agreement. BMI Z-score was significantly associated with both fat mass and percentage of body fat, regardless of the method, but the strength of correlation was higher when the height-weight equation was considered (r = 0.82; p < 0.001). CONCLUSIONS: This formula may serve as surrogate for body fat estimation when instrumental tools are not available. Dealing with changes of body fat instead of BMI Z-score may help children and parents to focus on diet for health. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13052-022-01285-8. BioMed Central 2022-06-21 /pmc/articles/PMC9210685/ /pubmed/35729585 http://dx.doi.org/10.1186/s13052-022-01285-8 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Licenziati, Maria Rosaria Ballarin, Giada Iannuzzo, Gabriella Lonardo, Maria Serena Di Vincenzo, Olivia Iannuzzi, Arcangelo Valerio, Giuliana A height-weight formula to measure body fat in childhood obesity |
title | A height-weight formula to measure body fat in childhood obesity |
title_full | A height-weight formula to measure body fat in childhood obesity |
title_fullStr | A height-weight formula to measure body fat in childhood obesity |
title_full_unstemmed | A height-weight formula to measure body fat in childhood obesity |
title_short | A height-weight formula to measure body fat in childhood obesity |
title_sort | height-weight formula to measure body fat in childhood obesity |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9210685/ https://www.ncbi.nlm.nih.gov/pubmed/35729585 http://dx.doi.org/10.1186/s13052-022-01285-8 |
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