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近期自杀未遂患者的焦虑和抑郁症状与健康相关生活质量:网络分析。

Anxious and depressive symptoms and health-related quality of life in a cohort of people who recently attempted suicide: A network analysis.

机构信息

Departament de Medicina, Facultat de Medicina i Ciències de la Salut, Institut de Neurociències, Universitat de Barcelona (UB), c. Casanova, 143, 08036 Barcelona, Spain; Bipolar and Depressive Disorders Unit, Hospìtal Clinic de Barcelona, c. Villarroel, 170, 08036 Barcelona, Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), c. Villarroel, 170, 08036 Barcelona, Spain; Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy.

Departament de Medicina, Facultat de Medicina i Ciències de la Salut, Institut de Neurociències, Universitat de Barcelona (UB), c. Casanova, 143, 08036 Barcelona, Spain; Bipolar and Depressive Disorders Unit, Hospìtal Clinic de Barcelona, c. Villarroel, 170, 08036 Barcelona, Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), c. Villarroel, 170, 08036 Barcelona, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain.

出版信息

J Affect Disord. 2024 Jun 15;355:210-219. doi: 10.1016/j.jad.2024.03.109. Epub 2024 Mar 26.

Abstract

BACKGROUND

Suicide is an international health concern with immeasurable impact from the perspective of human and social suffering. Prior suicide attempts, anxious and depressive symptoms, and relatively lower health-related quality of life (HRQoL) are among the most replicated risk factors for suicide. Our goal was to visualize the distribution of these features and their interconnections with use of a network analysis approach in individuals who recently attempted suicide.

METHODS

Individuals with a recent suicide attempt were recruited from nine University Hospitals across Spain as part of the SURVIVE cohort study. Anxious and depressive symptoms, and perceived HRQoL were included in the network analysis. Network structures were estimated with the EBICglasso model. Centrality measures and bridge symptoms connecting communities were explored. Subnetworks comparing younger and older individuals, and women and men were analyzed.

RESULTS

A total of 1106 individuals with a recent suicide attempt were included. Depressed mood was the symptom with the greatest influence in the overall network, followed by anxiety symptoms such as feeling nervous, worrying, restless, and having difficulties to relax. Perceived general health was associated with increased suicidal ideation in the whole sample. Older people showed a specific connection between perceived general health and depressed mood.

LIMITATIONS

The cross-sectional design does not allow determination of established causality.

CONCLUSIONS

Depressed mood was the core network's symptom and, therefore, an important target in the management and prevention of suicide. HRQoL had more influence on the network of older populations, in which it should be a primary focus.

摘要

背景

自杀是一个国际健康关注点,从人类和社会痛苦的角度来看,其影响是无法衡量的。既往自杀未遂、焦虑和抑郁症状以及相对较低的健康相关生活质量(HRQoL)是自杀的最常见风险因素之一。我们的目标是通过网络分析方法,直观地展示这些特征的分布及其相互关系,这些特征存在于最近尝试过自杀的个体中。

方法

作为 SURVIVE 队列研究的一部分,从西班牙的 9 家大学医院招募了最近有自杀未遂的个体。网络分析中纳入了焦虑和抑郁症状以及感知的 HRQoL。采用 EBICglasso 模型估计网络结构。探索中心度测量和连接社区的桥梁症状。分析比较年轻和年老个体以及女性和男性的子网。

结果

共纳入 1106 名最近有自杀未遂的个体。抑郁情绪是整个网络中影响最大的症状,其次是焦虑症状,如感到紧张、担忧、不安和难以放松。感知的一般健康状况与整个样本中的自杀意念增加有关。老年人表现出感知一般健康状况与抑郁情绪之间的特定联系。

局限性

横断面设计不允许确定已建立的因果关系。

结论

抑郁情绪是核心网络的症状,因此,是自杀管理和预防的重要目标。HRQoL 对老年人群体的网络有更大的影响,应该成为主要关注点。

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