The relationship between irritability, depression and anxiety among Chinese college students during the COVID-19 pandemic: A network analysis.

Ling Li, Lei Ren, Xiaoqing Zhan, Lingzhi Wang, Chang Liu, Mengxue Zhao, Xi Luo, Zhengzhi Feng, Kuiliang Li
Author Information
  1. Ling Li: Department of General Education, Chongqing Water Resources and Electric Engineering College, Chongqing, China.
  2. Lei Ren: Department of Psychology, Fourth Military Medical University, Xi'an, China.
  3. Xiaoqing Zhan: Medical English Department, College of Basic Medicine, Army Medical University, Chongqing, China.
  4. Lingzhi Wang: Sichuan Shun Dao Law Firm, Chengdu, China.
  5. Chang Liu: BrainPark, Turner Institute for Brain and Mental Health and School of Psychological Sciences, Monash University, Clayton, VIC, Australia.
  6. Mengxue Zhao: School of Psychology, Army Medical University, Chongqing, China.
  7. Xi Luo: Medical English Department, College of Basic Medicine, Army Medical University, Chongqing, China.
  8. Zhengzhi Feng: School of Psychology, Army Medical University, Chongqing, China.
  9. Kuiliang Li: School of Psychology, Army Medical University, Chongqing, China.

Abstract

Introduction: Irritability, a common symptom included in the 5th Edition of Diagnostic and Statistical Manual of Mental Disorders (DSM-5), is thought to be associated with multiple emotional disorders. It is commonly seen among college students in isolation during the COVID-19 pandemic. However, its relation with anxiety and depression remains unclear. We aim to study the relation of irritability, anxiety and depression in Chinese college students during the COVID-19 pandemic by using network analysis to understand the co-occurrence of these three disorders.
Methods: During the COVID-19 pandemic, we recruited 1516 college students from five general universities in China to complete the Irritability, Depression and Anxiety Scale (IDA-S) to analyze the symptom network of irritability, depression and anxiety. Specifically, we assessed the indices of strength centrality and bridge strength for each node in the network.
Results: Some strongest linkages were found among anxiety symptoms "nervous" and "panic" (weight = 0.36), depression symptoms "sad mood" and "amused" (weight = 0.32), inward irritability items "self-hurt" and "self-harm" (weight = 0.32) and outward items "rough" and "aggressive" (weight = 0.28). The anxiety symptom "panic" had the highest strength value, followed by the inward irritability symptom "annoyed". The nodes "ease" and "sleep" had the lowest strength value. In addition, the anxiety symptom "relax" had the highest bridge strength value, followed by inward irritability symptom "annoyed".
Conclusion: This study explored the characteristics of a network of irritability, depression and anxiety symptoms among Chinese college students during the COVID-19 pandemic. We found that anxiety and irritability symptoms played an important role in the network. The findings provide evidence for prevention and intervention for college students' mental health problems during the COVID-19 pandemic.

Keywords

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Word Cloud

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