The Relationship Between Cognitive Emotion Regulation Strategy and Mental Health Among University Students During Public Health Emergency: A Network Analysis.

IF 2.8 3区 心理学 Q2 PSYCHOLOGY, CLINICAL
Psychology Research and Behavior Management Pub Date : 2024-12-08 eCollection Date: 2024-01-01 DOI:10.2147/PRBM.S485555
Mengze Li, Qiannan Jia, Tifei Yuan, Lin Zhang, Huizhong Wang, Jamie Ward, Yinchuan Jin, Qun Yang
{"title":"The Relationship Between Cognitive Emotion Regulation Strategy and Mental Health Among University Students During Public Health Emergency: A Network Analysis.","authors":"Mengze Li, Qiannan Jia, Tifei Yuan, Lin Zhang, Huizhong Wang, Jamie Ward, Yinchuan Jin, Qun Yang","doi":"10.2147/PRBM.S485555","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Public health emergencies pose threats to mental health, and cognitive emotional regulation can be a crucial coping strategy. This study explored the relationship between cognitive emotion regulation strategies and mental health among university students during the COVID-19 pandemic using network analysis.</p><p><strong>Methods: </strong>1100 university students completed questionnaires assessing depression, anxiety, somatization, and cognitive emotion regulation strategies. Network analysis was conducted to identify network structures and bridge symptoms.</p><p><strong>Results: </strong>(1) In the depression network, the strongest edge is D1 (Little interest)-D2 (Feeling down), while D2 emerged as the node with the highest centrality. C1 (Self-blame), C8 (Catastrophizing), D6 (Feeling bad), and D9 (Suicide) are bridge symptoms. (2) In the anxiety network, A2 (Uncontrollable worrying)-A3 (Worrying too much) were identified as the strongest edge, and A2 exhibiting the highest centrality. C1 (Self-blame), C8 (Catastrophizing), and A6 (Easy annoyance) are bridge symptoms. (3) In the somatization network, the strongest edge is S14 (Fatigue)-S15 (Sleep disturbances) and S9 (Palpitations) exhibited the highest centrality. C1 (Self-blame), C3 (Rumination), C8 (Catastrophizing), S9 (Palpitations), and S14 (Fatigue) are bridge symptoms.</p><p><strong>Conclusion: </strong>Self-blame and catastrophizing are important bridge symptoms for cognitive emotion regulation strategies and mental health networks, so cognitive behavioral therapy, focusing on self-blame and catastrophizing as intervention targets, could most effectively improve mental health during public health emergencies.</p>","PeriodicalId":20954,"journal":{"name":"Psychology Research and Behavior Management","volume":"17 ","pages":"4171-4181"},"PeriodicalIF":2.8000,"publicationDate":"2024-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11638478/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Psychology Research and Behavior Management","FirstCategoryId":"102","ListUrlMain":"https://doi.org/10.2147/PRBM.S485555","RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"PSYCHOLOGY, CLINICAL","Score":null,"Total":0}
引用次数: 0

Abstract

Background: Public health emergencies pose threats to mental health, and cognitive emotional regulation can be a crucial coping strategy. This study explored the relationship between cognitive emotion regulation strategies and mental health among university students during the COVID-19 pandemic using network analysis.

Methods: 1100 university students completed questionnaires assessing depression, anxiety, somatization, and cognitive emotion regulation strategies. Network analysis was conducted to identify network structures and bridge symptoms.

Results: (1) In the depression network, the strongest edge is D1 (Little interest)-D2 (Feeling down), while D2 emerged as the node with the highest centrality. C1 (Self-blame), C8 (Catastrophizing), D6 (Feeling bad), and D9 (Suicide) are bridge symptoms. (2) In the anxiety network, A2 (Uncontrollable worrying)-A3 (Worrying too much) were identified as the strongest edge, and A2 exhibiting the highest centrality. C1 (Self-blame), C8 (Catastrophizing), and A6 (Easy annoyance) are bridge symptoms. (3) In the somatization network, the strongest edge is S14 (Fatigue)-S15 (Sleep disturbances) and S9 (Palpitations) exhibited the highest centrality. C1 (Self-blame), C3 (Rumination), C8 (Catastrophizing), S9 (Palpitations), and S14 (Fatigue) are bridge symptoms.

Conclusion: Self-blame and catastrophizing are important bridge symptoms for cognitive emotion regulation strategies and mental health networks, so cognitive behavioral therapy, focusing on self-blame and catastrophizing as intervention targets, could most effectively improve mental health during public health emergencies.

突发公共卫生事件中大学生认知情绪调节策略与心理健康关系的网络分析
背景:突发公共卫生事件对心理健康构成威胁,认知情绪调节是一种重要的应对策略。本研究运用网络分析方法探讨了新冠肺炎大流行期间大学生认知情绪调节策略与心理健康的关系。方法:对1100名大学生进行抑郁、焦虑、躯体化和认知情绪调节策略问卷调查。进行网络分析以识别网络结构和桥梁症状。结果:(1)在抑郁网络中,最强的边是D1(兴趣淡薄)-D2(情绪低落),D2是中心性最高的节点。C1(自责)、C8(灾难化)、D6(感觉不好)和D9(自杀)是桥状症状。(2)在焦虑网络中,A2(不可控担忧)-A3(过度担忧)被认为是最强的边缘,其中A2的中心性最高。C1(自责),C8(灾难化)和A6(容易烦恼)是桥梁症状。(3)在躯体化网络中,S14(疲劳)-S15(睡眠障碍)边缘最强,S9(心悸)边缘中心性最高。C1(自责)、C3(反刍)、C8(灾难化)、S9(心悸)和S14(疲劳)是桥状症状。结论:自责和灾难化是认知情绪调节策略与心理健康网络的重要桥梁症状,以自责和灾难化为干预目标的认知行为疗法能最有效地改善突发公共卫生事件中心理健康状况。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
4.50
自引率
4.70%
发文量
341
审稿时长
16 weeks
期刊介绍: Psychology Research and Behavior Management is an international, peer-reviewed, open access journal focusing on the science of psychology and its application in behavior management to develop improved outcomes in the clinical, educational, sports and business arenas. Specific topics covered in the journal include: -Neuroscience, memory and decision making -Behavior modification and management -Clinical applications -Business and sports performance management -Social and developmental studies -Animal studies The journal welcomes submitted papers covering original research, clinical studies, surveys, reviews and evaluations, guidelines, expert opinion and commentary, case reports and extended reports.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信