摘要
目的探求大学生体质健康整体特征、测试项目及其等级间的联动关系,明晰起关联作用的关键能力,提供关键能力的锻炼方法,实现一项练习、多项提升的高效锻炼。方法采用分层整群抽样方法选取天津市四所高校24210名本科生体测成绩为研究对象,采用基于Apriori算法的关联规则挖掘大学生体质健康测试7项指标及其等级间的联动关系。结果得到支持度和置信度均在60%以上的关联规则。结论男、女生BMI与身体素质互相促进;男、女生整体体质健康水平均为中等;男生各项能力发展水平不均衡,引体向上亟待提高;女生各项能力相对均衡;并提出男、女生优化锻炼对策。
Objective This paper explores the overall characteristics of College Students'physical health,the linkage between test items and their grades,clarifies the key ability that plays a related role,provides the exercise method of key ability,and realizes the efficient exercise of one exercise and multiple promotion.MethodsUsing stratified cluster sampling method,24210 undergraduates from four universities in Tianjin were selected as the research object.The association rules based on Apriori algorithm were used to mine the linkage relationship among the seven indexes of college students'physical health test and their grades.ResultThe association rules with support and confidence above 60%are obtained.Conclusion BMI and physical fitness of male and female students promote each other;The overall physical health level of boys and girls is medium;the abilitiesof boys areunbalanced,so the pull-up needs to be improved;the abilities of girls are relatively balanced;and put forward the optima the training countermeasures for male students and female students.
作者
马丽亚
MA Li-ya(PE Department,Tianjin Medical University,Tianjin 300070,China)
出处
《福建体育科技》
2021年第5期24-29,共6页
Fujian Sports Science and Technology
基金
天津医科大学科学基金社会科学青年项目:大数据视角下提高我校学生体质健康水平的对策研究(2015KYRQ05)。
关键词
大学生体质健康
数据挖掘
关联规则
指标联动
干预对策
collegestudents'physical health
data mining
association rules
index linkage
intervention countermeasures
