Li Mengze, Jia Qiannan, Yuan Tifei, Zhang Lin, Wang Huizhong, Ward Jamie, Jin Yinchuan, Yang Qun
Department of Military Medical Psychology, Air Force Medical University, Chinese People's Liberation Army (PLA), Xi'an, People's Republic of China.
Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai, People's Republic of China.
Psychol Res Behav Manag. 2024 Dec 8;17:4171-4181. doi: 10.2147/PRBM.S485555. eCollection 2024.
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.
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.
(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.
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.
突发公共卫生事件对心理健康构成威胁，认知情绪调节可能是一种关键的应对策略。本研究采用网络分析方法，探讨了新冠疫情期间大学生认知情绪调节策略与心理健康之间的关系。
1100名大学生完成了评估抑郁、焦虑、躯体化和认知情绪调节策略的问卷。进行网络分析以识别网络结构和桥梁症状。
（1）在抑郁网络中，最强的边是D1（兴趣缺乏）-D2（情绪低落），而D2是中心性最高的节点。C1（自我责备）、C8（灾难化）、D6（感觉糟糕）和D9（自杀）是桥梁症状。（2）在焦虑网络中，A2（无法控制的担忧）-A3（过度担忧）被确定为最强的边，且A2的中心性最高。C1（自我责备）、C8（灾难化）和A6（易激惹）是桥梁症状。（3）在躯体化网络中，最强的边是S14（疲劳）-S15（睡眠障碍），且S9（心悸）的中心性最高。C1（自我责备）、C3（沉思）、C8（灾难化）、S9（心悸）和S14（疲劳）是桥梁症状。
自我责备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，因此，以自我责备和灾难化为干预靶点的认知行为疗法在突发公共卫生事件期间能最有效地改善心理健康。
