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大学生电子健康素养与体质健康的相关性
引用本文:姜林辉,郭锡尧,卢碧燕,邓国金,吴志洪,吕高安.大学生电子健康素养与体质健康的相关性[J].中国学校卫生,2022,43(7):990-994.
作者姓名:姜林辉  郭锡尧  卢碧燕  邓国金  吴志洪  吕高安
作者单位:1.东莞职业技术学院卫生健康学院, 广东 523110
基金项目:广东省教育学会2020年度教育管理专业委员会一般课题JYGLG01715广东省中职德育“十三五”规划课题一般项目19ZZDYYY20东莞职业技术学院科研基金资助2021c24
摘    要:  目的  了解大学生电子健康素养和体质健康现状并探讨两者的关系,为提高其体质健康水平提供依据。  方法  采用分层随机整群抽样法,于2021年10—12月抽取东莞市广东医科大学、东莞理工学院、东莞职业技术学院、东莞城市学院4所高校1 446名大一至大三年级学生,进行电子健康素养问卷调查和体质健康测试。  结果  大学生电子健康素养总分为(29.72±6.19)分,合格率为48.8%,各维度得分分别为应用能力(18.57±4.10)分、评判能力(7.48±1.67)分、决策能力(3.67±0.91)分。不同生源地、家庭教养方式和参加户外运动频率大学生电子健康素养得分差异均有统计学意义(t/F值分别为-2.44,3.51,10.19,P值均 < 0.05)。大学生体质健康测试平均分为(73.20±7.86)分,不及格率为5.0%、及格率为77.0%,良好率为17.1%,优秀率为0.8%,不同性别、年级、参加户外运动频率大学生体质健康测试的等级差异均有统计学意义(Z值分别为-2.27,8.75,39.90,P值均 < 0.05)。Pearson相关分析显示,大学生电子健康素养及应用能力、评判能力、决策能力3个维度与体质健康测试总分均呈正相关(r值分别为0.17,0.18,0.16,0.19,P值均 < 0.01)。多元线性回归分析显示,在排除了性别、年级、参加户外运动频率的混杂因素后,电子健康素养应用能力、评判能力、决策能力与体质健康测试总分均呈正相关(β值分别为0.13,0.12,0.12,P值均 < 0.05)。  结论  大学生体质健康与电子健康素养有关,促进大学生电子健康素养水平有利于提高大学生体质健康状况。

关 键 词:健康教育    体质    回归分析    健康促进    学生
收稿时间:2022-03-14

Correlation between eHealth literacy and physical fitness of college students
Institution:1.Health college of Dongguan Polytechnic, Dongguan (523110), Guangdong Province, China
Abstract:  Objective  To understand the current situation and association of eHealth literacy with physical health of college students, so as to provide a basis for physical health improvement.  Methods  By using stratified random clustering sampling method, a total of 1 446 students from first to third year of college in four colleges and universities in Dongguan were selected for the eHealth literacy questionnaire and physical fitness test.  Results  The average eHealth literacy score of college students was(29.72±6.19), with a pass rate of 48.8%. The scores for each dimension were application ability (18.57±4.10), judgment ability (7.48±1.67), and decision-making ability (3.67±0.91). The differences in eHealth literacy scores among college students with different birthplaces, family upbringing and frequency of participation in outdoor sports were statistically significant(t/F=-2.44, 3.51, 10.19, P < 0.05). The mean score of physical fitness was (73.20±7.86), with a failure rate of 5.0%, a passing rate of 77.0%, a success rate of 17.1%, and an excellent rate of 0.8%. The differences in scores of physical fitness test varied significantly by gender, grade, and frequency of participation in outdoor sports(Z=-2.27, 8.75, 39.90, P < 0.05). Pearson correlation analysis showed that eHealth literacy and the three dimensions of application ability, judgment ability, and decision-making ability were positively correlated with total physical fitness test scores(r=0.17, 0.18, 0.16, 0.19, P < 0.01). Multiple linear regression analysis showed that after adjusted for gender, grade, and frequency of participation in outdoor sports, eHealth literacy application ability, judgment ability, and decision-making ability could significantly and positively affect physical fitness test score(β=0.13, 0.12, 0.12, P < 0.05).   Conclusion  Physical fitness of college students is associated with eHealth literacy, promotion of eHealth literacy among college students help improve physical health status.
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