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Body Composition and Anthropometric Indicators in Children and Adolescents 6–15 Years Old
The problem of overweight and obesity among children and adolescents has now become a major public health challenge worldwide. The aim of this study was to assess the effect of age and gender on body composition components and anthropometric indices of children and adolescents aged 6–15 years; in ad...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9517036/ https://www.ncbi.nlm.nih.gov/pubmed/36141862 http://dx.doi.org/10.3390/ijerph191811591 |
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author | Kobylińska, Milena Antosik, Katarzyna Decyk, Agnieszka Kurowska, Katarzyna Skiba, Diana |
author_facet | Kobylińska, Milena Antosik, Katarzyna Decyk, Agnieszka Kurowska, Katarzyna Skiba, Diana |
author_sort | Kobylińska, Milena |
collection | PubMed |
description | The problem of overweight and obesity among children and adolescents has now become a major public health challenge worldwide. The aim of this study was to assess the effect of age and gender on body composition components and anthropometric indices of children and adolescents aged 6–15 years; in addition, the study aimed to assess body composition indices in relation to BMI (Body Mass Index) levels. The study was conducted at the end of 2019 and in the first quarter of 2020 among 181 pupils attending primary schools. Waist circumference, hip circumference, body weight, and body height were measured. The collected data were used to calculate and then to analyse BMI, WHR (Waist-Hip Ratio), and WHtR (Waist to Height Ratio) indices. Body composition was determined with the use of the Bioelectrical Impedance Analysis (BIA). The analyses’ statistics were performed using IBM SPSS Statistics 24 and Excel. The statistical methods used included Chi(2) tests of independence, one-factor analysis of variance, and two-factor analysis of variance taking into account the level of α = 0.05. Based on the results, there were no statistically significant differences in the gender and age distributions of the BMI groups. However, the analysis of interaction effects confirmed that there were statistically significant differences according to pubertal age and gender in body fat, muscle mass, hydration, and WHR. Body composition in boys and girls before the age of 12 is similar while, after the age of 12, there are differences between boys and girls in terms of body composition so there is a need to deepen the assessment of body mass, especially in adolescents at the age of puberty, by body composition analysis using the BIA method. |
format | Online Article Text |
id | pubmed-9517036 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-95170362022-09-29 Body Composition and Anthropometric Indicators in Children and Adolescents 6–15 Years Old Kobylińska, Milena Antosik, Katarzyna Decyk, Agnieszka Kurowska, Katarzyna Skiba, Diana Int J Environ Res Public Health Article The problem of overweight and obesity among children and adolescents has now become a major public health challenge worldwide. The aim of this study was to assess the effect of age and gender on body composition components and anthropometric indices of children and adolescents aged 6–15 years; in addition, the study aimed to assess body composition indices in relation to BMI (Body Mass Index) levels. The study was conducted at the end of 2019 and in the first quarter of 2020 among 181 pupils attending primary schools. Waist circumference, hip circumference, body weight, and body height were measured. The collected data were used to calculate and then to analyse BMI, WHR (Waist-Hip Ratio), and WHtR (Waist to Height Ratio) indices. Body composition was determined with the use of the Bioelectrical Impedance Analysis (BIA). The analyses’ statistics were performed using IBM SPSS Statistics 24 and Excel. The statistical methods used included Chi(2) tests of independence, one-factor analysis of variance, and two-factor analysis of variance taking into account the level of α = 0.05. Based on the results, there were no statistically significant differences in the gender and age distributions of the BMI groups. However, the analysis of interaction effects confirmed that there were statistically significant differences according to pubertal age and gender in body fat, muscle mass, hydration, and WHR. Body composition in boys and girls before the age of 12 is similar while, after the age of 12, there are differences between boys and girls in terms of body composition so there is a need to deepen the assessment of body mass, especially in adolescents at the age of puberty, by body composition analysis using the BIA method. MDPI 2022-09-14 /pmc/articles/PMC9517036/ /pubmed/36141862 http://dx.doi.org/10.3390/ijerph191811591 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Kobylińska, Milena Antosik, Katarzyna Decyk, Agnieszka Kurowska, Katarzyna Skiba, Diana Body Composition and Anthropometric Indicators in Children and Adolescents 6–15 Years Old |
title | Body Composition and Anthropometric Indicators in Children and Adolescents 6–15 Years Old |
title_full | Body Composition and Anthropometric Indicators in Children and Adolescents 6–15 Years Old |
title_fullStr | Body Composition and Anthropometric Indicators in Children and Adolescents 6–15 Years Old |
title_full_unstemmed | Body Composition and Anthropometric Indicators in Children and Adolescents 6–15 Years Old |
title_short | Body Composition and Anthropometric Indicators in Children and Adolescents 6–15 Years Old |
title_sort | body composition and anthropometric indicators in children and adolescents 6–15 years old |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9517036/ https://www.ncbi.nlm.nih.gov/pubmed/36141862 http://dx.doi.org/10.3390/ijerph191811591 |
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