Wang Yu, Zhang Shuo, Liu Xiaogang, Shi Hongye, Deng Xuyang
Centre of Mental Health Education, Southeast University, Nanjing, Jiangsu, China.
Centre of Mental Health Education, Yangzhou University, Yangzhou, Jiangsu, China.
Front Psychol. 2023 Feb 28;14:1071936. doi: 10.3389/fpsyg.2023.1071936. eCollection 2023.
The prevalence of anxiety and depressive symptoms for Chinese college students are high. Academic pressure is one of the prominent risk factors of psychological well-beings for Chinese college students. The application of network analysis provides researchers a more comprehensive understanding of symptom-symptom interaction in mental disorders. This study aims to find out whether there is a difference in central symptoms between students with different academic performance.
A total sample of 1,291 college students was included in our study. Anxiety and depressive symptoms were measured by PHQ-9 and GAD-7. Central symptoms were identified through centrality indices. Network stability was examined using the case-dropping method.
For the poor academic group, the most central symptom is PHQ-2 (feeling depressed). The most central symptom of the good academic group is GAD-2 (uncontrolled worry). The least central symptom for both groups is PHQ-9 (suicidal thought). Network structure is statistically different between two groups, global strength is not statistically different between two groups.
The pertinent symptom is feeling depressed, followed by uncontrolled worry and poor appetite, and for the good academic group, the pertinent symptom is an uncontrolled worry, theoretical explanation and clinical implications is discussed.
中国大学生焦虑和抑郁症状的患病率较高。学业压力是中国大学生心理健康的突出风险因素之一。网络分析的应用使研究人员能够更全面地了解精神障碍中症状与症状之间的相互作用。本研究旨在探讨不同学业成绩的学生在核心症状上是否存在差异。
本研究共纳入1291名大学生。采用PHQ-9和GAD-7量表测量焦虑和抑郁症状。通过中心性指标确定核心症状。采用逐个剔除病例的方法检验网络稳定性。
对于学业成绩较差的组，最核心的症状是PHQ-2（感到沮丧）。学业成绩较好的组最核心的症状是GAD-2（无法控制的担忧）。两组最不核心的症状都是PHQ-9（自杀念头）。两组之间的网络结构在统计学上存在差异，两组之间的全局强度在统计学上无差异。
相关症状是感到沮丧，其次是无法控制的担忧和食欲不佳，而对于学业成绩较好的组，相关症状是无法控制的担忧，并对其进行了理论解释和临床意义的讨论。
