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使用网络分析确定重度抑郁症中抑郁和焦虑症状的核心地位。

The Centrality of Depression and Anxiety Symptoms in Major Depressive Disorder Determined Using a Network Analysis.

机构信息

Department of Psychiatry, Inje University Haeundae Paik Hospital, Busan, Republic of Korea.

Department of Psychiatry, Hanyang University Guri Hospital, Guri, Republic of Korea.

出版信息

J Affect Disord. 2020 Jun 15;271:19-26. doi: 10.1016/j.jad.2020.03.078. Epub 2020 Apr 15.

Abstract

BACKGROUND

Comorbid anxiety symptoms are highly prevalent and closely linked with poorer treatment outcomes, chronicity, and hospitalization in major depressive disorder (MDD). Our study aimed to estimate the network of depression and anxiety symptoms that was developed based on a sample of MDD patients.

METHODS

We constructed a network of the 21 Beck Depression Inventory (BDI) symptoms and 21 Beck Anxiety Inventory (BAI) symptoms in 223 patients with MDD who were beginning psychiatric treatment. In addition, each of the depression and anxiety symptoms was considered to be an ordered categorical variable ranging in value from 0 to 3.

RESULTS

The three depression symptoms including loss of energy, loss of interest, and worthlessness and the seven anxiety symptoms including faintness or lightheadedness, feeling of choking, feeling scared, fear of the worst happening, nervousness, inability to relax, and feeling shaky were identified as the ten most central nodes within a network of depression and anxiety symptoms. The inter-connection between irritability and nervousness was a strong trans-diagnostic edge within the network of depression and anxiety symptoms.

LIMITATIONS

Because our study was designed in a cross-sectional manner, the networks were estimated undirectionally.

CONCLUSIONS

Our findings show that depression symptoms are not more central than anxiety symptoms within an estimated network structure of symptoms in patients with MDD. Moreover, the inter-connection between irritability and nervousness may suggests a probable trans-diagnostic association in MDD symptomatology.

摘要

背景

伴发焦虑症状在重度抑郁症(MDD)中非常普遍,且与更差的治疗效果、慢性化和住院治疗密切相关。我们的研究旨在根据 MDD 患者样本估计抑郁和焦虑症状的网络。

方法

我们构建了一个包含 21 项贝克抑郁量表(BDI)症状和 21 项贝克焦虑量表(BAI)症状的网络,该网络纳入了 223 名开始接受精神科治疗的 MDD 患者。此外,抑郁和焦虑症状中的每一项都被视为一个有序的分类变量,其值范围从 0 到 3。

结果

在抑郁和焦虑症状的网络中,三个抑郁症状(即精力丧失、兴趣丧失和无价值感)和七个焦虑症状(即头晕或头晕目眩、窒息感、恐惧感、害怕最坏的事情发生、紧张、无法放松和颤抖感)被确定为十个最中心的节点。在抑郁和焦虑症状的网络中,易怒和紧张之间的相互联系是一个强烈的跨诊断边缘。

局限性

由于我们的研究设计为横断面研究,因此网络是单向估计的。

结论

我们的研究结果表明,在估计的 MDD 患者症状网络结构中,抑郁症状并不比焦虑症状更具中心性。此外,易怒和紧张之间的相互联系可能提示 MDD 症状学中存在一种可能的跨诊断关联。

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