Network analysis for inter-relationships of the suboptimal health status with depression and anxiety during the COVID-19 pandemic: A perspective of predictive, preventive, and personalized health

焦虑 萧条(经济学) 心理健康 大流行 临床心理学 精神科 心理学 人口 医学 干预(咨询) 公共卫生 2019年冠状病毒病(COVID-19) 疾病 环境卫生 传染病(医学专业) 宏观经济学 经济 病理 护理部
作者
Xue Wang,Yibo Wu,Yu Chen,Qian Gao,Wenting Liu,Jiayi Xu,Shuang Zang
出处
期刊:Journal of Affective Disorders [Elsevier BV]
卷期号:356: 155-161 被引量:6
标识
DOI:10.1016/j.jad.2024.04.032
摘要

The Coronavirus Disease-2019 (COVID-19) pandemic has had a profound impact on suboptimal health status, depression, and anxiety, necessitating a comprehensive understanding of their inter-relationships at the national level. This study aims to investigate the inter-relationships among suboptimal health status, depression, and anxiety using a network analysis approach. We conducted a national survey between June 20 and August 31, 2022. Three network models were constructed and analyzed to independently examine the inter-relationships among suboptimal health status, depression, and anxiety. A total of 26,152 participants were included in this study. The study network analysis indicated that item 9 (i.e., Slow response) exhibited the highest node strength within the suboptimal health status questionnaire-short form (SHSQ-SF) network, followed by item 5 (i.e., Breathlessness at rest). Additionally, positive correlations were observed between depression and anxiety severity and most of the SHSO-SF items. This study provided valuable insights into inter-relationships between suboptimal health status, depression, and anxiety, informing the development of comprehensive intervention strategies for the general population. These findings have important implications for promoting the well-being and mental health of individuals during and beyond the COVID-19 pandemic.

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