Covid-19与抑郁症发生的关系

Danijel Bijedic, Elvir Becirovic, Jasminka Petrovic, Humera Porobic Jahic, Alma Trnacevic, Azra Zigic
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引用次数: 0

摘要

背景:抑郁症的特征是持续的情绪低落(悲伤、易怒或空虚)或快乐的丧失,并伴有其他认知、行为或神经植物症状,这些症状严重损害了人的功能。焦虑和恐惧相关障碍的特征是过度焦虑和恐惧,导致行为障碍,造成严重的痛苦或损害个人、家庭、社会、教育、职业或其他关键功能领域。目的:本研究的目的是分析COVID-19患者与有流感或普通感冒症状的患者在抑郁症状的发展方面是否存在差异。方法:这是一项前瞻性研究,包括60名参与者:30名患有COVID-19, 30名没有COVID-19。从参与者的动态观察记录中收集数据,记录他们的症状。我们分析了年龄、性别、教育程度和潜在抑郁程度等变量之间的关系。参与者被分为两组:一组由COVID-19患者组成,另一组由未感染COVID-19的个体组成。所有的参与者都是男性和女性,年龄在40到65岁之间,之前没有抑郁症的病史。第一组由COVID-19患者组成,他们在家中接受治疗,但在我们的门诊诊所接受检查,随后被送回家。结果:统计数据处理采用Excel程序和R统计数据处理程序。按每组30名答复者计算百分比。第一组受教育程度与抑郁症的发生无统计学意义(Spearman ro=0.007, P=0.972)。在第1组(Covid)中,受试者的年龄与抑郁症的发生有统计学意义(Spearman ro=0.44, P=0.015)。Spearman相关系数为正值意味着得分随着被调查者年龄的增长而增加。第一组得分最高的三个问题分别是:问题2=71,问题15和问题16=66,问题14=65;第二组得分最高的三个问题是:问题2=74,问题1 =50,问题18=46。结论:COVID-19可促进抑郁症的发展。在我们的研究中,16.7%的COVID-19患者表现出抑郁症状,其中10%患有轻度抑郁症,6.7%患有中度抑郁症。第一组患者,尤其是年龄较大的患者,更有可能患上与COVID-19相关的轻度或中度抑郁症。此外,第一组的受教育程度与抑郁症的发展之间没有统计学上的显著相关性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Association of Covid-19 With the Occurrence of a Depressive Disorder.

Background: Depressive disorder is characterized by a persistent low mood (sadness, irritability, or emptiness) or a loss of pleasure, accompanied by other cognitive, behavioral, or neurovegetative symptoms that significantly impair a person's ability to function. Anxiety and fear-related disorders are marked by excessive anxiety and fear, which lead to behavioral disturbances and cause significant distress or impair personal, family, social, educational, occupational, or other key areas of functioning.

Objective: The aim of this study was to analyze whether there are differences in the development of depressive symptoms between COVID-19 patients and patients with symptoms of the flu or common cold.

Methods: This is a prospective study that included sixty participants: thirty with COVID-19 and thirty without COVID-19. Data were collected from the ambulatory observational records of participants, documenting their symptoms. We analyzed the relationship between variables such as age, sex, education, and the level of potential depression. The participants were divided into two groups: one consisting of individuals with COVID-19 and the other of individuals without COVID-19. All participants were male and female, aged between 40 and 65 years, and had no previous history of depressive disorder. The first group consisted of patients with COVID-19 who were treated at home but were examined at our outpatient clinic and subsequently sent home.

Results: Statistical data processing was performed using the Excel program and the R statistical data processing program. Percentages are calculated in relation to 30 respondents in each group.There was no statistically significant correlation between the level of education in Group 1 and the development of depression(Spearman ro=0.007, P=0.972). In Group 1 (Covid ) there is a statistically significant correlation between the age of the subjects and the development of depression (Spearman ro=0.44, P=0.015). A positive value of the Spearman correlation coefficient means that the score increases with the age of the respondent. Three questions with the highest score in group 1 were: Question 2=71, Questions 15 and 16=66, Question 14=65; three questions with the highest score in group 2 were: Question 2=74, Question 1 =50, Question 18=46.

Conclusion: COVID-19 can contribute to the development of depression. In our study, 16.7% of patients with COVID-19 showed signs of depression, with 10% experiencing mild depression and 6.7% experiencing moderate depression. Patients in the first group, particularly those of older age, were more likely to develop mild or moderate depression associated with COVID-19. Additionally, no statistically significant correlation was found between the level of education in Group 1 and the development of depression.

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