Degree of Accuracy of the BMI Z-Score to Determine Excess Fat Mass Using DXA in Children and Adolescents
Obesity is caused by fat accumulation. BMI Z-score is used to classify the different degrees of weight status in children and adolescents. However, this parameter does not always express the true percentage of body fat. Our objective was to determine the degree of agreement between the fat mass perc...
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oai:doaj.org-article:d50a1245eb9846159ed080d6879479ac2021-11-25T17:51:16ZDegree of Accuracy of the BMI Z-Score to Determine Excess Fat Mass Using DXA in Children and Adolescents10.3390/ijerph1822121141660-46011661-7827https://doaj.org/article/d50a1245eb9846159ed080d6879479ac2021-11-01T00:00:00Zhttps://www.mdpi.com/1660-4601/18/22/12114https://doaj.org/toc/1661-7827https://doaj.org/toc/1660-4601Obesity is caused by fat accumulation. BMI Z-score is used to classify the different degrees of weight status in children and adolescents. However, this parameter does not always express the true percentage of body fat. Our objective was to determine the degree of agreement between the fat mass percentage measured by DXA and the stratification of weight according to BMI Z-score in the pediatric age group. We designed a descriptive cross-sectional study. The patients were classified as underweight/normal weight with Z-scores between −2 and +0.99, overweight from 1 to 1.99, obese from 2 to 2.99, and very obese ≥3. We included 551 patients (47% girls), with a mean age of 11.5 ± 2.8 years (3.7–18 years). Higher BMI Z-scores were associated with a higher percentage of total fat (<i>p</i> < 0.001). However, there were important overlaps between both parameters, such that the BMI Z-score classified patients with the same percentage of total fat mass as having a different nutritional status classification. In conclusion, the stratification of weight status according to BMI Z-score revealed that 46.7% of patients had a fat percentage that did not correspond to their classification. For a more accurate weight assessment in clinical practice, we recommend combining anthropometric indices with diagnostic tools that better correlate with DXA, such as electrical bioimpedance.David Monasor-OrtoláJose Antonio Quesada-RicoAna Pilar Nso-RocaMercedes Rizo-BaezaErnesto Cortés-CastellAsier Martínez-SeguraFrancisco Sánchez-FerrerMDPI AGarticleBMI Z-scorechildhood obesitybody compositionfat massgrowth chartsMedicineRENInternational Journal of Environmental Research and Public Health, Vol 18, Iss 12114, p 12114 (2021) |
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BMI Z-score childhood obesity body composition fat mass growth charts Medicine R |
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BMI Z-score childhood obesity body composition fat mass growth charts Medicine R David Monasor-Ortolá Jose Antonio Quesada-Rico Ana Pilar Nso-Roca Mercedes Rizo-Baeza Ernesto Cortés-Castell Asier Martínez-Segura Francisco Sánchez-Ferrer Degree of Accuracy of the BMI Z-Score to Determine Excess Fat Mass Using DXA in Children and Adolescents |
description |
Obesity is caused by fat accumulation. BMI Z-score is used to classify the different degrees of weight status in children and adolescents. However, this parameter does not always express the true percentage of body fat. Our objective was to determine the degree of agreement between the fat mass percentage measured by DXA and the stratification of weight according to BMI Z-score in the pediatric age group. We designed a descriptive cross-sectional study. The patients were classified as underweight/normal weight with Z-scores between −2 and +0.99, overweight from 1 to 1.99, obese from 2 to 2.99, and very obese ≥3. We included 551 patients (47% girls), with a mean age of 11.5 ± 2.8 years (3.7–18 years). Higher BMI Z-scores were associated with a higher percentage of total fat (<i>p</i> < 0.001). However, there were important overlaps between both parameters, such that the BMI Z-score classified patients with the same percentage of total fat mass as having a different nutritional status classification. In conclusion, the stratification of weight status according to BMI Z-score revealed that 46.7% of patients had a fat percentage that did not correspond to their classification. For a more accurate weight assessment in clinical practice, we recommend combining anthropometric indices with diagnostic tools that better correlate with DXA, such as electrical bioimpedance. |
format |
article |
author |
David Monasor-Ortolá Jose Antonio Quesada-Rico Ana Pilar Nso-Roca Mercedes Rizo-Baeza Ernesto Cortés-Castell Asier Martínez-Segura Francisco Sánchez-Ferrer |
author_facet |
David Monasor-Ortolá Jose Antonio Quesada-Rico Ana Pilar Nso-Roca Mercedes Rizo-Baeza Ernesto Cortés-Castell Asier Martínez-Segura Francisco Sánchez-Ferrer |
author_sort |
David Monasor-Ortolá |
title |
Degree of Accuracy of the BMI Z-Score to Determine Excess Fat Mass Using DXA in Children and Adolescents |
title_short |
Degree of Accuracy of the BMI Z-Score to Determine Excess Fat Mass Using DXA in Children and Adolescents |
title_full |
Degree of Accuracy of the BMI Z-Score to Determine Excess Fat Mass Using DXA in Children and Adolescents |
title_fullStr |
Degree of Accuracy of the BMI Z-Score to Determine Excess Fat Mass Using DXA in Children and Adolescents |
title_full_unstemmed |
Degree of Accuracy of the BMI Z-Score to Determine Excess Fat Mass Using DXA in Children and Adolescents |
title_sort |
degree of accuracy of the bmi z-score to determine excess fat mass using dxa in children and adolescents |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doaj.org/article/d50a1245eb9846159ed080d6879479ac |
work_keys_str_mv |
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