纺织学报 ›› 2013, Vol. 34 ›› Issue (4): 111-116.

• 服装工程 • 上一篇    下一篇

长江下游地区学龄前女童体型的分类

吴巧英1,2,冯婉婉1   

    1. 浙江理工大学服装学院
    2. 浙江省服装工程技术研究中心
  • 收稿日期:2012-07-30 修回日期:2012-12-16 出版日期:2013-04-15 发布日期:2013-04-09
  • 通讯作者: 吴巧英 E-mail:artdesign2002@126.com

Body classification of preschool girls from the lower region of the Yangtze River

  • Received:2012-07-30 Revised:2012-12-16 Online:2013-04-15 Published:2013-04-09
  • Contact: Qiao-Ying WU E-mail:artdesign2002@126.com

摘要: 针对童装规格与儿童体型快速发育不适应的问题,以长江下游地区3~6岁学龄前女童为研究对象,在人体测量基础上,采用因子分析法从13项人体测量指标中提取2个体型因子,通过计算相关指数选取4个代表性体型指标,并通过单因素方差分析、相关分析确定了3个用于聚类的体型派生变量。选用K-均值聚类法进行聚类,并用混合F统计量确定最佳分类数,将447名女童体型分为3类:胸小臀大的A型体、胸大臀小的V型体,及介于两者之间的H型体。三类体型的人数及年龄分布存在差异,按人数由高到低依次为:H型、A型、V型,且H型、A型分别为3~5岁女童、5~6岁女童的主要体型类别。

关键词: 学龄前女童, 体型分类, 因子分析, K-均值聚类

Abstract: The purpose of the study is to solve the problem of maladjustment between children's clothing specifications and accelerated growth of preschool children. The body measurement of preschool girls of 3 to 6-year-old from the lower region of Yangtze River was carried out. Factor analysis of 13 body measurement index was undertaken and two factors were chosen. Through counting relative index, 4 representative body indexes were chosen, then through one-way ANOV and relative analysis, 4 body derived variables were determined to be clustering variables. K-means cluster was applied to classify the figure type and the optimal number of clusters was determined by Mix-F statistics, then the 447 preschool girls were subdivided into 3 types: A-type featured with small bust girth while large hip girth, V- type featured with large bust girth while small hip girth, and the H-type in between. The number and age distribution of the three types of body figure differences, by number in descending order: H- type, A-type, and V-type, meanwhile, H-type and A-type were main figure types, respectively, for 3 to 5 year-old , 5 to 6-year-old preschool girls.

Key words: preschool girl, body type classification, factor analysis, K-means cluster

中图分类号: 

  • TS941.64
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