主办单位:成都体育学院
ISSN 1001-9154 CN 51-1097/G8

成都体育学院学报 ›› 2020, Vol. 46 ›› Issue (1): 86-93.doi: 10.15942/j.jcsu.2020.01.014

• 运动人体科学 • 上一篇    下一篇

基于决策树模型的幼儿超重关键因素研究

吕文娣1, 赵广高1, 付近梅2, 孙顺利2, 陈晶1, 何梓豪1, 黄婷1, 胡超2, 陈晨2   

  1. 1.南昌大学 体育学院,江西 南昌 330031
    2.江西省体育科学研究所,江西 南昌 330031
  • 收稿日期:2019-03-16 出版日期:2020-01-15 发布日期:2020-02-14
  • 通讯作者: 赵广高,博士,副教授,硕士生导师,硕士方向:运动与健康促进。E-mail:Zhaogg2002@163.com。
  • 作者简介:吕文娣,硕士研究生,研究方向:运动与健康促进。E-mail:lvwendilyg@163.com。
  • 基金资助:
    教育部人文社会科学研究青年基金项目“幼儿体质健康关键性影响因素的队列研究”(18YJC890060);江西省研究生创新专项资金项目“基于决策树模型的幼儿肥胖影响因素”(YC2018-S028)。

Exploring Key Factors of Overweight in Preschool Children:a Decision Tree Analysis

LV Wendi1, ZHAO Guanggao1, FU Jinmei2, SUN Shunli2, CHEN Jing1, HE Zihao1, HUANG Ting1, HU Chao2, CHEN Chen2   

  1. 1.School of Physical Education, Nanchang University, Nanchang Jiangxi 330031
    2.Jiangxi Institute of Sports Science, Nanchang Jiangxi 330031
  • Received:2019-03-16 Online:2020-01-15 Published:2020-02-14

摘要: 目的:基于决策树模型探讨引起幼儿超重的关键因素。方法:招募南昌市23所幼儿园5 870名3~6岁幼儿,测量身高、体重;问卷调查幼儿身体活动、静坐行为、出生信息,父母的育儿方式、身体形态、锻炼行为和家庭情况,并将其划分为36个变量;采用IBM SPSS modeler软件创建CHAID决策树模型,筛选幼儿超重的关键性因素。结果:CHAID模型准确率达85.23%。CHAID模型结果显示,8个变量与幼儿超重有较强关联性,各变量按重要性排序依次为室外身体活动时间、父亲BMI、母亲BMI、父亲收入、室内身体活动时间、父亲受教育程度、喂养方式、看电视时间。结论:身体活动尤其是室外身体活动与幼儿超重的关系最为密切,父母肥胖程度、父亲收入与受教育情况、喂养方式、静坐行为也是导致幼儿超重的关键性因素。

关键词: 决策树, 幼儿, 超重

Abstract: To explore the key factors of overweight based on decision tree model. Methods: 5870 children (3-6 years old) from 23 kindergartens in Nanchang were recruited to measure their height and weight. Then their body mass index (BMI) was calculated, finally their overweight was evaluated according to "The National Physical Fitness Standard Manual (Preschool children part)". Questionnaires were conducted to investigate children's physical activity, children's sedentary behavior, children's birth information, child-rearing methods, parents' body shape and parents' exercise behavior, family situation and other related information, which were divided into 36 variables. The CHAID decision tree model was established by IBM SPSS modeler to screen the key factors affecting overweight of preschool children. Results: The accuracy of CHAID model is 85.23%. The results of CHAID model show that there is a strong correlation between the eight variables with overweight. The most important factor is outdoor physical activity time, father's BMI, mother's BMI, father's income, indoor physical activity time, father's education level, child-rearing methods and TV watching time. Conclusion: Physical activity, especially outdoor physical activity are the most important factors related to preschool children overweight. Parents' obesity and education, child-rearing methods, sedentary behavior are also key factors leading to overweight.

Key words: decision tree, preschool children, overweight

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