Analysis of Children's Physical Characteristics Based on Clustering Analysis
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Updated: Oct 30, 2025

Measuring the Functional Abilities of Children Aged 3-6 Years Old with Observational Methods and Computer Tools
Published on: June 20, 2020
Eunjung Kim1, Yumi Won2, Jieun Shin3
1Division of Sports Science, Myongji University, Yongin-si 17058, Korea.
Insights
This study identified four distinct physical health clusters in Korean children, revealing variations in physique and basal metabolic rate (BMR). These findings support tailored physical fitness programs for children.
Area of Science:
- Pediatric Health
- Exercise Physiology
- Anthropometry
Background:
- Childhood physical fitness is crucial for long-term health.
- Variations in physique and body composition influence physical fitness metrics.
- Basal metabolic rate (BMR) is a key indicator of energy expenditure and fat-free mass.
Purpose of the Study:
- To assess physical development, fitness, and BMR in Korean children.
- To identify distinct physical health clusters using a multivariate approach.
- To provide data for developing customized physical fitness management programs.
Main Methods:
- A multivariate approach was used to cluster 4410 Korean children (aged 6 years).
- Physical fitness components (endurance, strength, flexibility, agility, power, balance) were assessed.
- Physique and basal metabolic rate (BMR) were analyzed in relation to identified clusters.
Main Results:
- Four physical health clusters emerged: balance, muscular strength, low agility, and low physical fitness.
- Cluster 1 (balance) comprised predominantly slim children.
- Cluster 2 (muscular strength) included more obese, tall, and heavy children with the highest BMR.
Conclusions:
- Distinct physical health clusters exist in children, correlating with physique and BMR.
- Findings highlight the need for multidirectional approaches to physical fitness evaluation.
- Results offer primary data for creating individualized physical fitness management strategies.
Abstract:
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.
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