现代纺织技术 ›› 2025, Vol. 33 ›› Issue (01): 75-83.

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江苏地区9~14周岁男童体型分类

  

  1. 1.常州市食品药品纤维质量监督检验中心,江苏常州 213002;2. 江南大学,a. 纺织科学与工程学院;b. 数字科技与创意设计学院,江苏无锡 214122
  • 出版日期:2025-01-10 网络出版日期:2025-02-18

Study on the body shape of boys aged from 9 to 14 based in Jiangsu province

  1. 1. Changzhou Food and Drug Fiber Quality Supervision and Inspection Center, Changzhou 213002, China; 2a. College of Textile Science and Engineering; 2b. School of Digital Technology and Innovation Design, Jiangnan University, Wuxi 214122, China
  • Published:2025-01-10 Online:2025-02-18

摘要: 为优化儿童体型分类,以江苏地区9~14周岁学龄男童为研究对象,结合接触式手工测量和非接触式三维人体测量2种测量方法,获取了研究对象的14个主要人体尺寸数据。基于描述统计分析、相关性分析、主成分分析和K-means聚类分析结果,对9~14周岁男童进行体型研究与分类,结果表明:儿童体型发育变化受年龄段影响,9~11周岁男童的身高增速显著快于12~14周岁男童;相比胸腰差、臀腰差,身胸比、身腰比、身臀比这3类衍生尺寸更适合作为儿童体型分类指标;K-means聚类结果显示,可将9~11周岁和12~14周岁男童体型分为S、M、L三类,分别表示矮瘦体、标准体和高壮体,9~11周岁男童S、M、L三类体型占比分别为31.10%、38.28%、30.62%,12~14周岁男童S、M、L三类体型占比分别为19.19%、62.63%、18.18%。研究可为儿童号型标准的修订及童装、校服的设计生产提供参考。

关键词: 儿童, 体型分类, 人体测量, 主成分分析, K-means聚类分析, 手肘法

Abstract: The purpose of this study is to explore the body shape differences among boys aged from 9 to 14 in Jiangsu province. Economic development and improved living conditions have led to significant changes in the body types of Chinese children, exhibiting notable regional and gender variations, as well as diversity. The existing children's clothing size standards are outdated and do not fully reflect these changes. Therefore, there is an urgent need to update the data and classification standards to better meet the demands of the children's clothing market. The primary objective of this study is to classify the body types of boys aged from 9 to 14 in Jiangsu province through scientific measurement methods and data analysis, further optimize the relevant children's clothing size standards, and provide guidance for the design and production of children's clothing.
In this study, 14 key body size measurements of boys aged from 9 to 14 in Jiangsu province were obtained by combining contact manual measurement and non-contact three-dimensional scanning technology. The collected data were processed and analyzed by using descriptive statistical analysis, correlation analysis, principal component analysis, and K-means clustering analysis. The results showed significant differences in body development among different age groups. Based on the results of descriptive statistical analysis, it was observed that as age increased, the growth rate of boys' height slowed down significantly, with boys aged from 9 to 11 growing faster than those aged from 12 to 14. Furthermore, correlation analysis results indicated that body-to-chest ratio, body-to-waist ratio, and body-to-hip ratio were more correlated with BMI than traditional indicators such as chest-to-waist difference and waist-to-hip difference, making them more suitable for classifying children's body types. Finally, through K-means clustering analysis, the body types of boys aged from 9 to 11 and 12 to 14 were divided into three categories: S (short and thin), M (medium), and L (tall and strong). Among boys aged from 9 to 11, the proportions were 31.10% (S), 38.28% (M), and 30.62% (L), while among boys aged from 12 to 14, the proportions were 19.19% (S), 62.63% (M), and 18.18% (L). These results indicate that as boys age, their body shapes tend to stabilize, with a higher proportion of medium body types.
Studying the classification of body types among children of different age groups is beneficial for revising and optimizing the children's clothing size standards in Jiangsu province, providing enterprises with reference for designing and producing clothing that better fits the actual body types of children in the region. To enhance the general applicability of the results, future research will include more regional samples, so as to further provide reference for the nationwide optimization of children's clothing size standards.

Key words: children, body shape classification, anthropometric measurements, principal component analysis, K-means cluster analysis, elbow method

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