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中国高职院校学生的家庭功能、焦虑与抑郁:一项网络分析

Family Functioning, Anxiety and Depression in Chinese Higher Vocational School Students: A Network Analysis.

作者信息

Ye Linlin, Chen Shujuan, Chen Qing-Wei, Luo Xue

机构信息

Mental Health Education Center, Guangzhou Railway Polytechnic, Guangzhou, 511370, People's Republic of China.

Department of Psychology, School of Education, Ningxia University, Yinchuan, 750021, People's Republic of China.

出版信息

Psychol Res Behav Manag. 2024 Dec 25;17:4399-4412. doi: 10.2147/PRBM.S490712. eCollection 2024.

DOI:10.2147/PRBM.S490712
PMID:39735859
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11682667/
Abstract

PURPOSE

Network analysis is a statistical method that explores the complex interrelationships among variables by representing them as nodes and edges in a network structure. This study aimed to examine the interconnections between family functioning, anxiety, and depression among vocational school students through network analysis approach.

PARTICIPANTS AND METHODS

A sample of 2728 higher vocational school students participated in a survey utilizing the Family APGAR Index Questionnaire (APGAR), Generalized Anxiety Disorder Scale (GAD-7), and Patient Health Questionnaire (PHQ-9). Meanwhile, a network analysis was conducted to investigate the interrelationships between family functioning, anxiety, and depression symptoms among the higher vocational school students.

RESULTS

The network analysis revealed that node APGAR2 ("Partnership") exhibited the highest strength, followed by node GAD5 ("Restlessness"); node GAD7 ("Negative future anticipation"), PHQ9 ("Suicidal ideation"), and PHQ6 ("Guilty") were bridge nodes linking family functioning, anxiety and depressive symptoms in the sample. The results of the Network comparisons test between male and female indicated that the edge weights and global strength did not exhibit a statistically significant difference.

CONCLUSION

These results emphasized that certain anxiety symptoms and family functioning nodes are more central than others, and thus play a more critical role in the family functioning-anxiety-depression network, which highlight potential targeting symptoms to be considered in future interventions.

摘要

目的

网络分析是一种统计方法,通过将变量表示为网络结构中的节点和边来探索变量之间复杂的相互关系。本研究旨在通过网络分析方法研究职业学校学生家庭功能、焦虑和抑郁之间的相互联系。

参与者与方法

2728名高等职业学校学生参与了一项调查,该调查使用了家庭APGAR指数问卷(APGAR)、广泛性焦虑障碍量表(GAD-7)和患者健康问卷(PHQ-9)。同时,进行了网络分析,以研究高等职业学校学生家庭功能、焦虑和抑郁症状之间的相互关系。

结果

网络分析显示,节点APGAR2(“伙伴关系”)强度最高,其次是节点GAD5(“坐立不安”);节点GAD7(“对未来的消极预期”)、PHQ9(“自杀观念”)和PHQ6(“内疚”)是连接样本中家庭功能、焦虑和抑郁症状的桥梁节点。男性和女性之间的网络比较测试结果表明,边权重和全局强度没有统计学上的显著差异。

结论

这些结果强调,某些焦虑症状和家庭功能节点比其他节点更核心,因此在家庭功能-焦虑-抑郁网络中发挥更关键的作用,这突出了未来干预中应考虑的潜在目标症状。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/831c/11682667/5975988b6056/PRBM-17-4399-g0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/831c/11682667/d75cdb9e11ab/PRBM-17-4399-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/831c/11682667/7ddfd9ff83fa/PRBM-17-4399-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/831c/11682667/348893fcd2bd/PRBM-17-4399-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/831c/11682667/f8e9a163dbb5/PRBM-17-4399-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/831c/11682667/47493e495a9e/PRBM-17-4399-g0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/831c/11682667/5975988b6056/PRBM-17-4399-g0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/831c/11682667/d75cdb9e11ab/PRBM-17-4399-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/831c/11682667/7ddfd9ff83fa/PRBM-17-4399-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/831c/11682667/348893fcd2bd/PRBM-17-4399-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/831c/11682667/f8e9a163dbb5/PRBM-17-4399-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/831c/11682667/47493e495a9e/PRBM-17-4399-g0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/831c/11682667/5975988b6056/PRBM-17-4399-g0006.jpg

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