Long-term psychological profile of general population following COVID-19 outbreak: symptom trajectories and evolution of psychopathological network

作者：Zheng-An Lu, Le Shi, Jianyu Que, Yongbo Zheng, Qianwen Wang, Weijian Liu, Yuetong Huang, Jie Shi, Yanping Bao, Lin Lü · 发表于：Epidemiology and Psychiatric Sciences · 年份：2022 · DOI：10.1017/s2045796022000518 · 被引用次数：16 · 研究领域：Mental Health Research Topics、COVID-19 and Mental Health、Digital Mental Health Interventions

AIMS: COVID-19 has long-term impacts on public mental health, while few research studies incorporate multidimensional methods to thoroughly characterise the psychological profile of general population and little detailed guidance exists for mental health management during the pandemic. This research aims to capture long-term psychological profile of general population following COVID-19 by integrating trajectory modelling approaches, latent trajectory pattern identification and network analyses. METHODS: Longitudinal data were collected from a nationwide sample of 18 804 adults in 12 months after COVID-19 outbreak in China. Patient Health Questionnaire-9, Generalised Anxiety Disorder-7 and Insomnia Severity Index were used to measure depression, anxiety and insomnia, respectively. The unconditional and conditional latent growth curve models were fitted to investigate trajectories and long-term predictors for psychological symptoms. We employed latent growth mixture model to identify the major psychological symptom trajectory patterns, and ran sparse Gaussian graphical models with graphical lasso to explore the evolution of psychopathological network. RESULTS: At 12 months after COVID-19 outbreak, psychological symptoms generally alleviated, and five psychological symptom trajectories with different demographics were identified: normal stable (63.4%), mild stable (15.3%), mild-increase to decrease (11.7%), mild-decrease to increase (4.0%) and moderate/severe stable (5.5%). The...