International Centre for Education and Research in Neuropsychiatry (ICERN), Samara State Medical University, 78 Nagornaya Street, 443079 Samara, Russia,
Psychiatr Danub. 2024 Sep;36(Suppl 2):103-114.
The prevalence of depressive disorders in the general population increased significantly during the COVID-19 pandemic. The aim of this study is to examine the relationship between history of anxiety and depressive disorders and COVID-19 outcome, hospitalization and severity of anxiety and depression, and whether such relationships are explicable by direct impact of the disease.
We conducted a questionnaire survey among 98 inpatients in the Department of Infectious Diseases of the Clinics of Samara State Medical University. The self-report questionnaire consisted of 120 items, including socio-demographic characteristics of participants, State-Trait Anxiety Inventory, and the Center for Epidemiologic Studies Depression Scale, with items reflecting subjective feelings about the COVID-19 pandemic. We used one-factor analysis of variance to compare between groups for those indicators that conformed to a normal distribution, and the chi-square test (χ) or Fisher's exact test to analyze group differences in the distribution of categorical variables was used.
The mean (SD) total score on the STAI anxiety scale among hospitalized patients (51 (10.1)) significantly exceeded that of the COMET-G control group (44.9 (11.7) (H=22.8, p<0.001). There was a similar difference in the severity of depression as measured by the CES-D scale (23.4 (12.6) versus 18.0 (11.8), H=15.2 and p<0.001). In contrast to the general population, there were no statistically significant differences in anxiety and depression severity in the matched samples 52 subjects fulfilling the criteria of age, gender, and general perception of health condition.
Anxiety and depression scores among ICU (red zone) inpatients significantly exceeded the scores observed in the COMET-G general population group. Our study did not confirm expected relationship between symptoms of anxiety and depression (based on questionnaire response) and the risk of severe course of COVID-19 (e.g. hospitalization) in matched samples, but proved that the factor of self-awareness of health state may be related to the COVID-19 course severity. Future research would benefit from clinical interview of inpatients and follow-up monitoring of affective disorders to specify whether anxiety and particular type of depression (e.g., anxious) are selectively related to the severity of COVID-19 course and risks of affective disorders persistence after somatic recovery. The accumulation of mental disorders with age, and the bidirectional association of mood disorders and infectious diseases should be considered when assessing the risk factors.
在 COVID-19 大流行期间,普通人群中抑郁障碍的患病率显著增加。本研究旨在探讨焦虑和抑郁障碍的病史与 COVID-19 结局、住院和焦虑和抑郁严重程度的关系,以及这些关系是否可以通过疾病的直接影响来解释。
我们对萨马拉国立医科大学临床传染病科的 98 名住院患者进行了问卷调查。自报问卷包括 120 个项目,包括参与者的社会人口统计学特征、状态-特质焦虑量表和流行病学研究中心抑郁量表,其中包含反映参与者对 COVID-19 大流行主观感受的项目。我们使用单因素方差分析比较符合正态分布的组间差异,使用卡方检验(χ 2 )或 Fisher 确切检验分析分类变量的组间差异。
住院患者状态-特质焦虑量表总分(51(10.1))显著高于 COMET-G 对照组(44.9(11.7)(H=22.8,p<0.001)。用 CES-D 量表测量的抑郁严重程度也存在类似差异(23.4(12.6)与 18.0(11.8),H=15.2,p<0.001)。与一般人群相比,在匹配的 52 名符合年龄、性别和一般健康状况认知标准的样本中,焦虑和抑郁严重程度无统计学差异。
ICU(红色区域)住院患者的焦虑和抑郁评分明显高于 COMET-G 一般人群组的评分。我们的研究并未在匹配样本中证实焦虑和抑郁症状(基于问卷回答)与 COVID-19 严重病程(例如住院)之间预期的关系,但证实了自我健康状况认知因素可能与 COVID-19 病程严重程度有关。未来的研究将受益于对住院患者的临床访谈和对情感障碍的随访监测,以确定焦虑和特定类型的抑郁(例如焦虑)是否与 COVID-19 病程严重程度以及躯体康复后情感障碍持续存在的风险有关。在评估危险因素时,应考虑精神障碍随年龄的积累以及心境障碍与传染病的双向关联。