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Comparison of Body Mass Index and fat percentage criteria classification of 7–13 year-old rural boys in South Africa

BACKGROUND: The aim of this paper was to investigate whether BMI and fat percentage classification criteria, would classify a sample of 7–13 year old boys from a rural background in similar nutritional categories. METHODS: A cross-sectional study with a stratified random sampling included 601 rural...

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Autores principales: van Gent, Maya, Pienaar, Anita, Noorbhai, Habib
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7670705/
https://www.ncbi.nlm.nih.gov/pubmed/33203387
http://dx.doi.org/10.1186/s12887-020-02419-9
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author van Gent, Maya
Pienaar, Anita
Noorbhai, Habib
author_facet van Gent, Maya
Pienaar, Anita
Noorbhai, Habib
author_sort van Gent, Maya
collection PubMed
description BACKGROUND: The aim of this paper was to investigate whether BMI and fat percentage classification criteria, would classify a sample of 7–13 year old boys from a rural background in similar nutritional categories. METHODS: A cross-sectional study with a stratified random sampling included 601 rural boys (7–13 years old). Fat percentage criteria classification and BMI were calculated and compared. Maturity status, and age at peak height velocity (PHV) were indirectly determined. Statistical techniques included descriptive statistics, Pearson product correlation coefficients, the Kappa agreement test and the McNemar’s test. The level of statistical significance was set at p ≤ 0.05. RESULTS: All age groups presented with statistically significant high correlations between BMI and fat percentage, and low to medium correlations between fat percentage and maturity age (MA). Measurement of agreement between BMI and fat percentage classifications showed poor to fair agreements for all age groups, with the exception of the eight-year old group which presented a moderate agreement. CONCLUSIONS: Classifications based on BMI and fat percentage, results in different classifications for the same population. Until further research has been done to determine the best classification for nutritional status, it is recommended that both classification methods be used for more accurate classification of nutritional status.
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spelling pubmed-76707052020-11-18 Comparison of Body Mass Index and fat percentage criteria classification of 7–13 year-old rural boys in South Africa van Gent, Maya Pienaar, Anita Noorbhai, Habib BMC Pediatr Research Article BACKGROUND: The aim of this paper was to investigate whether BMI and fat percentage classification criteria, would classify a sample of 7–13 year old boys from a rural background in similar nutritional categories. METHODS: A cross-sectional study with a stratified random sampling included 601 rural boys (7–13 years old). Fat percentage criteria classification and BMI were calculated and compared. Maturity status, and age at peak height velocity (PHV) were indirectly determined. Statistical techniques included descriptive statistics, Pearson product correlation coefficients, the Kappa agreement test and the McNemar’s test. The level of statistical significance was set at p ≤ 0.05. RESULTS: All age groups presented with statistically significant high correlations between BMI and fat percentage, and low to medium correlations between fat percentage and maturity age (MA). Measurement of agreement between BMI and fat percentage classifications showed poor to fair agreements for all age groups, with the exception of the eight-year old group which presented a moderate agreement. CONCLUSIONS: Classifications based on BMI and fat percentage, results in different classifications for the same population. Until further research has been done to determine the best classification for nutritional status, it is recommended that both classification methods be used for more accurate classification of nutritional status. BioMed Central 2020-11-17 /pmc/articles/PMC7670705/ /pubmed/33203387 http://dx.doi.org/10.1186/s12887-020-02419-9 Text en © The Author(s) 2020 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/. The Creative Commons Public Domain Dedication waiver (http://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 Article
van Gent, Maya
Pienaar, Anita
Noorbhai, Habib
Comparison of Body Mass Index and fat percentage criteria classification of 7–13 year-old rural boys in South Africa
title Comparison of Body Mass Index and fat percentage criteria classification of 7–13 year-old rural boys in South Africa
title_full Comparison of Body Mass Index and fat percentage criteria classification of 7–13 year-old rural boys in South Africa
title_fullStr Comparison of Body Mass Index and fat percentage criteria classification of 7–13 year-old rural boys in South Africa
title_full_unstemmed Comparison of Body Mass Index and fat percentage criteria classification of 7–13 year-old rural boys in South Africa
title_short Comparison of Body Mass Index and fat percentage criteria classification of 7–13 year-old rural boys in South Africa
title_sort comparison of body mass index and fat percentage criteria classification of 7–13 year-old rural boys in south africa
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7670705/
https://www.ncbi.nlm.nih.gov/pubmed/33203387
http://dx.doi.org/10.1186/s12887-020-02419-9
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