期刊文献+

安徽省普通高校大学生体质健康的发展趋势——基于潜变量混合增长模型

The Development Trend of Physique Health of College Students in Anhui Province from 2018 to 2020:Based on the Latent Growth Mixed Model(LGMM)
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摘要 为了解安徽省普通高校大学生体质健康的发展趋势,为政府和学校科学制定相关政策、积极引导大学生参与身体活动提供参考,采用LGM、LGMM对安庆师范大学、皖西学院、巢湖学院2611名大学生在2018—2020年的体质健康成绩进行分析,探索安徽省普通高校大学生体质健康3年间的发展趋势。安徽省普通高校大学生体质健康发展趋势分为4个类别,分别为及格水平-衰退组(19%)、及格水平-上升组(73%)、不及格水平-衰退组(1%)、优秀水平-衰退组(7%)。4个类别的大学生体质健康初始水平与发展速度呈显著负相关(r=-0.65,p<0.01)。因此,安徽省普通高校大学生体质健康的发展趋势有显著的个体差异和群体异质性。 Objective To understand the development trend of college students physique health in Anhui Province,so as to provide reference for the government and schools to scientifically formulate relevant policies and actively guide college students to participate in physical activities.Methods Using LGM and LGMM,the physique health scores of 2611 college students from Anqing Normal University,West Anhui University and Chaohu College from 2018 to 2020 were analyzed to explore the development trend of physique health of college students in Anhui Province in the past three years.Results The development trend of physique health of college students in Anhui Province was divided into four types:pass level decline group(19%),pass level rise group(73%),fail level decline group(1%),excellent level decline group(7%).There was a significant negative correlation between the initial level of physique health and the development speed of the four categories of college students(r=-6.66,p<0.01).Conclusion The development trend of physique health of college students in Anhui Province has significant individual differences and group heterogeneity.
作者 陈露露 程洋洋 汪波 章翔 CHEN Lulu;CHENG Yangyang;WANG Bo;ZHANG Xiang(College of Physical Education,West Anhui University,Lu’an 237012,China;College of Physical Education,Anqing Normal University,Anqing 246133,China)
出处 《皖西学院学报》 2023年第5期146-151,共6页 Journal of West Anhui University
基金 2022年国家社科基金一般项目(22TYB00637) 皖西学院人文重点科研项目(WXSK202127)。
关键词 安徽省 大学生 体质健康 发展趋势 潜变量混合增长模型 Anhui Province college student physique health development trend Latent Growth Mixed Model
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