江苏高校大学生学业压力与网络成瘾的追踪研究

张金健; 陈红

doi:10.16835/j.cnki.1000-9817.2022.04.022

江苏高校大学生学业压力与网络成瘾的追踪研究

doi: 10.16835/j.cnki.1000-9817.2022.04.022

张金健¹,
陈红^2, ,

1.
中国矿业大学大学生心理健康教育中心，江苏徐州 221116
2.
江南大学商学院

基金项目:

国家社会科学基金重大项目 21&ZD166

详细信息

作者简介:
张金健(1979-)，女，辽宁铁岭人，在读博士，副教授，主要从事高校心理健康教育工作

通讯作者:
陈红，E-mail：hongchenxz@163.com

利益冲突声明 所有作者声明无利益冲突。
中图分类号: G647.9 G444 B844.2
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- 被引次数: 0
出版历程
- 收稿日期: 2021-10-24
- 修回日期: 2022-02-21
- 网络出版日期: 2022-04-25
- 刊出日期: 2022-04-25

A follow-up study on academic pressure and Internet addiction of college students in Jiangsu

ZHANG Jinjian¹,
CHEN Hong^{2
, ,}

1.
Mental Health Education Center for College Students, China University of Mining and Technology, Xuzhou (221116), Jiangsu Province, China

摘要

摘要: 目的考查大学生学业压力与网络成瘾的纵向关系，为促进大学生心理健康发展提供参考。方法于2016年10月开始对整群抽取的江苏某高校5 372名大学生进行4次(T1、T2、T3、T4)纵向追踪研究，每次间隔1年。采用中国大学生心理健康筛查量表(CSMHSS)中的“学业压力”和“网络成瘾”筛查指标进行测查，采用交叉滞后分析探讨大学生学业压力与网络成瘾的关系。结果重复测量方差分析显示，大学生学业压力的时间主效应有统计学意义[F(3, 16 113)=767.28，P < 0.01，η²=0.13]。大学生的学业压力随时间呈下降趋势，T1阶段最高，T4阶段最低。大学生网络成瘾的时间主效应有统计学意义[F(3, 16 113)=165.22，P < 0.01，η²=0.03]。大学生的网络成瘾随时间呈“先升后降”的趋势，T2阶段最高，T4阶段最低。交叉滞后分析表明，T1的学业压力可以显著预测T2的网络成瘾，T3的学业压力可以显著预测T4的网络成瘾，路径系数分别为0.07，0.07(P值均 < 0.01)。前测(Tn)的网络成瘾可以显著预测后测[T(n+1)]的学业压力，路径系数分别为0.06，0.06，0.08(P值均 < 0.01)。结论大学生学业压力能部分预测网络成瘾，网络成瘾能显著预测学业压力。高校要加强学风建设，降低学生的学业压力，同时要通过多种途径减少大学生网络成瘾，以促进大学生心理健康发展。
- 学习 /
- 压力 /
- 因特网 /
- 行为，成瘾 /
- 学生
Abstract: Objective To examine the longitudinal relationship between academic pressure and Internet addiction of college students and to provide reference for the development of college students' mental health. Methods In October 2016, a longitudinal 4 waves (T1 to T4) of follow-up study was conducted among 5 372 college students from a university in Jiangsu, with an interval of 1 year each time. Academic pressure and Internet addiction were derived from the College Students Mental Health Screening Scale. A cross-lag analysis was used to explore the relationship between college students' academic pressure and Internet addiction. Results Repeated measures analysis of variance showed that the main effect of time for academic pressure was significant[F(3, 16 113)=767.28, P < 0.01, η²=0.13]. The academic pressure of college students showed a downward trend over time, with the highest at T1 stage and the lowest at T4 stage. The main effect of time for college students' Internet addiction was significant[F(3, 16 113)=165.22, P < 0.01, η²=0.03]. The Internet addiction of college students showed a trend of decreasing after increasing over time, with the highest stage T2 and the lowest stage T4. The cross-lag analysis showed that academic pressure of T1 could significantly predict the Internet addiction of T2, and academic pressure of T3 could significantly predict the Internet addiction of T4, and the path coefficients are 0.07 and 0.07(P < 0.01). In addition, the pre-test (Tn) Internet addiction can significantly predict the post-test [T(n+1)] academic pressure, and the path coefficients were 0.06, 0.06, 0.08(P < 0.01). Conclusion Academic pressure can partially predict Internet addiction among college students, while Internet addiction can also significantly predict academic pressure. Colleges and universities should strengthen the construction of learning style, reduce the academic pressure of students, and reduce the Internet addiction of college students through various ways, so as to promote the healthy development of college students.
- Learning /
- Pressure /
- Internet /
- Behavior, addictive /
- Students
注释:

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HTML全文

图 1 大学生学业压力与网络成瘾交叉滞后分析

注：虚线表示路径系数无统计学意义。

Figure 1. Cross-lag analysis of college students' academic pressure and Internet addiction

下载: 全尺寸图片幻灯片

表 1 大学生学业压力与网络成瘾相关分析(r值，n=5 372)

Table 1. Correlation analysis of college students' academic stress and Internet addiction(r, n=5 372)

变量	学业压力(T1)	学业压力(T2)	学业压力(T3)	学业压力(T4)	网络成瘾(T1)	网络成瘾(T2)	网络成瘾(T3)
学业压力(T2)	0.44
学业压力(T3)	0.29	0.31
学业压力(T4)	0.35	0.42	0.36
网络成瘾(T1)	0.39	0.22	0.16	0.23
网络成瘾(T2)	0.24	0.48	0.20	0.30	0.46
网络成瘾(T3)	0.14	0.17	0.52	0.25	0.29	0.33
网络成瘾(T4)	0.22	0.25	0.24	0.54	0.39	0.45	0.38
注：P值均 < 0.01。

下载: 导出CSV

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