Department of Psychiatry, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou 310000, China.
Affiliated Mental Health Center, School of Medicine, Zhejiang University, Hangzhou Seventh People's Hospital, The 4th Clinical College of Zhejiang Chinese Medical University, Hangzhou 310000, China.
Int J Environ Res Public Health. 2023 Feb 28;20(5):4376. doi: 10.3390/ijerph20054376.
The coronavirus disease 2019 (COVID-19) poses a huge challenge to global public health. People with schizophrenia living in communities urgently need effective interventions to help them adjust to life and work, but they have not received enough attention. This study aims to assess the prevalence of anxiety and depression symptoms in community-dwelling patients with schizophrenia in China during the epidemic and to explore the possible influencing factors.
Using a cross-sectional survey, we collected 15,165 questionnaires. Assessments included demographic information, concern about COVID-19-related information, sleep status, anxiety and depressive symptoms, and accompanying illnesses. The 7-item Generalized Anxiety Disorder (GAD-7) and the 9-item Patient Health Questionnaire (PHQ-9) were used to evaluate depression and anxiety levels. Group comparison was conducted by -test, ANOVA, or chi-square test wherever suitable, with Bonferroni pairwise correction. Multivariate logistic regression was performed to identify predictors for anxiety and depression.
16.9% of patients had at least moderate anxiety, and 34.9% had at least moderate depression. -test showed that females scored higher on GAD-7 and PHQ-9 than males, and patients without accompanying long-standing diseases, who were not concerned about COVID-19, had lower GAD-7 and PHQ-9 scores. ANOVA showed that participants aged from 30 to 39, with higher education scored higher on GAD-7, and patients with better sleep, and having less concern about COVID-19, had lower GAD-7 and PHQ-9 scores. Regression analysis indicated that participant ages of 30-39 and 40-49 positively predicted anxiety, whereas patient ages of 30-39 years positively predicted depression. Patients with poor sleep, accompanying diseases, and concern about the COVID-19 pandemic were more likely to experience anxiety and depression.
During the pandemic, Chinese community-dwelling patients with schizophrenia had high rates of anxiety and depression. These patients deserve clinical attention and psychological intervention, especially those with risk factors.
评估新型冠状病毒肺炎(COVID-19)流行期间社区精神分裂症患者的焦虑和抑郁症状发生率,并探讨可能的影响因素。
采用横断面调查方法,收集 15165 份问卷。评估内容包括人口学信息、对 COVID-19 相关信息的关注、睡眠状况、焦虑和抑郁症状以及伴发疾病。采用 7 项广泛性焦虑障碍量表(GAD-7)和 9 项患者健康问卷(PHQ-9)评估抑郁和焦虑程度。采用 t 检验、方差分析或卡方检验进行组间比较,如有必要进行 Bonferroni 校正。采用多因素 logistic 回归分析焦虑和抑郁的预测因素。
16.9%的患者存在至少中度焦虑,34.9%存在至少中度抑郁。t 检验显示女性 GAD-7 和 PHQ-9 评分高于男性,无伴发长期疾病、不关注 COVID-19 的患者 GAD-7 和 PHQ-9 评分较低。方差分析显示年龄 3039 岁、受教育程度较高的患者 GAD-7 评分较高,睡眠较好、较少关注 COVID-19 的患者 GAD-7 和 PHQ-9 评分较低。回归分析显示 3039 岁和 4049 岁的患者年龄与焦虑呈正相关,而 3039 岁的患者年龄与抑郁呈正相关。睡眠差、伴发疾病和关注 COVID-19 的患者更易出现焦虑和抑郁。
COVID-19 流行期间,中国社区精神分裂症患者焦虑和抑郁发生率较高。这些患者需要得到临床关注和心理干预,特别是存在危险因素的患者。