Zhang Meng, Deng Yan-Feng
Department of Psychiatry, Minhang District Mental Health Center, Shanghai, China.
Front Public Health. 2025 May 15;13:1583630. doi: 10.3389/fpubh.2025.1583630. eCollection 2025.
This study aimed to investigate the factors influencing depression and anxiety in individuals with schizophrenia during the COVID-19 pandemic, with the goal of providing evidence to support strategies for improving emotional disturbances during the pandemic.
A cross-sectional study was conducted among 159 outpatients with schizophrenia between January and June 2023. Data were collected using a self-developed sociodemographic questionnaire, the Chinese version of the Illness Perception Questionnaire-Revised (IPQ-R), the Patient Health Questionnaire-9 (PHQ-9), and the 7-item Generalized Anxiety Disorder scale (GAD-7). Regression analysis was performed using SPSS version 27.0 to identify the factors associated with depression and anxiety.
Timeline cyclical and treatment control were significant predictors of depression among individuals with schizophrenia (R = 0.160, < 0.01). Additionally, timeline cyclical and the presence of chronic comorbidities significantly predicted anxiety (R = 0.217, < 0.01).
Illness perception concerning COVID-19 significantly influenced the severity of depression and anxiety in individuals with schizophrenia. Addressing these perceptions serves as an essential component of interventions aimed at improving mental health outcomes during the pandemic.
本研究旨在调查2019冠状病毒病（COVID-19）疫情期间精神分裂症患者抑郁和焦虑的影响因素，为支持改善疫情期间情绪障碍的策略提供证据。
2023年1月至6月对159名精神分裂症门诊患者进行了一项横断面研究。使用自行编制的社会人口学问卷、中文版疾病认知问卷修订版（IPQ-R）、患者健康问卷9项版（PHQ-9）和7项广泛性焦虑障碍量表（GAD-7）收集数据。使用SPSS 27.0版进行回归分析，以确定与抑郁和焦虑相关的因素。
时间线周期性和治疗控制是精神分裂症患者抑郁的显著预测因素（R = 0.160，<0.01）。此外，时间线周期性和慢性合并症的存在显著预测焦虑（R = 0.217，<0.01）。
对COVID-19的疾病认知显著影响了精神分裂症患者抑郁和焦虑的严重程度。解决这些认知问题是旨在改善疫情期间心理健康结果的干预措施的重要组成部分。
