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Analysis of Children’s Physical Characteristics Based on Clustering Analysis
This study assessed the physical development, physical fitness (muscular endurance, muscular strength, flexibility, agility, power, balance), and basal metabolic rate (BMR) in a total of 4410 children aged six (73–84 months) residing in Korea. Their physical fitness was visually classified according...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8227780/ https://www.ncbi.nlm.nih.gov/pubmed/34200406 http://dx.doi.org/10.3390/children8060485 |
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author | Kim, Eunjung Won, Yumi Shin, Jieun |
author_facet | Kim, Eunjung Won, Yumi Shin, Jieun |
author_sort | Kim, Eunjung |
collection | PubMed |
description | This study assessed the physical development, physical fitness (muscular endurance, muscular strength, flexibility, agility, power, balance), and basal metabolic rate (BMR) in a total of 4410 children aged six (73–84 months) residing in Korea. Their physical fitness was visually classified according to the physical fitness factor and—considering that children showed great variations in the physical fitness criteria depending on their physique and body composition—the study aimed to assess characteristics such as physique and BMR, the precursor for fat-free mass, based on the physical health clusters selected through a multivariate approach. As a result, the physical health clusters could be subdivided into four clusters: balance (1), muscular strength (2), low agility (3), and low physical fitness (3) cluster. Cluster 1 showed a high ratio of slim and slightly slim children, while cluster 2 had a high proportion of children that were obese, tall, or heavy, and had the highest BMR. We consider such results as important primary data for constituting physical fitness management programs customized to each cluster. It seems that it is necessary to have a multidirectional approach toward physical fitness evaluation and analysis methodologies that involve various physical fitness factors of children. |
format | Online Article Text |
id | pubmed-8227780 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-82277802021-06-26 Analysis of Children’s Physical Characteristics Based on Clustering Analysis Kim, Eunjung Won, Yumi Shin, Jieun Children (Basel) Article This study assessed the physical development, physical fitness (muscular endurance, muscular strength, flexibility, agility, power, balance), and basal metabolic rate (BMR) in a total of 4410 children aged six (73–84 months) residing in Korea. Their physical fitness was visually classified according to the physical fitness factor and—considering that children showed great variations in the physical fitness criteria depending on their physique and body composition—the study aimed to assess characteristics such as physique and BMR, the precursor for fat-free mass, based on the physical health clusters selected through a multivariate approach. As a result, the physical health clusters could be subdivided into four clusters: balance (1), muscular strength (2), low agility (3), and low physical fitness (3) cluster. Cluster 1 showed a high ratio of slim and slightly slim children, while cluster 2 had a high proportion of children that were obese, tall, or heavy, and had the highest BMR. We consider such results as important primary data for constituting physical fitness management programs customized to each cluster. It seems that it is necessary to have a multidirectional approach toward physical fitness evaluation and analysis methodologies that involve various physical fitness factors of children. MDPI 2021-06-07 /pmc/articles/PMC8227780/ /pubmed/34200406 http://dx.doi.org/10.3390/children8060485 Text en © 2021 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 Kim, Eunjung Won, Yumi Shin, Jieun Analysis of Children’s Physical Characteristics Based on Clustering Analysis |
title | Analysis of Children’s Physical Characteristics Based on Clustering Analysis |
title_full | Analysis of Children’s Physical Characteristics Based on Clustering Analysis |
title_fullStr | Analysis of Children’s Physical Characteristics Based on Clustering Analysis |
title_full_unstemmed | Analysis of Children’s Physical Characteristics Based on Clustering Analysis |
title_short | Analysis of Children’s Physical Characteristics Based on Clustering Analysis |
title_sort | analysis of children’s physical characteristics based on clustering analysis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8227780/ https://www.ncbi.nlm.nih.gov/pubmed/34200406 http://dx.doi.org/10.3390/children8060485 |
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