Multiple pathways to suicide: A network analysis based on three components of psychological pain.

IF 4.9 2区 医学 Q1 CLINICAL NEUROLOGY Journal of affective disorders Pub Date : 2024-11-25 DOI:10.1016/j.jad.2024.11.072
Shulin Fang, Runqing Zhong, Weiting Zhou, Jiamin Xu, Qinyu Liu, Xiaowei Wu, Huanhuan Li, Xiang Wang
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Abstract

Background: Psychological pain is a multidimensional structure that has long been recognized as an important risk factor for suicidal ideation and behavior. The roles of interactions among psychological pain subfactors at different stages of suicidality remain unclear.

Methods: A relatively large sample of outpatients with major depressive disorder (N = 501) was recruited to complete the Three-Dimensional Psychological Pain Scale (TDPPS). Exploratory graphical analysis (EGA) was conducted to explore the factor structure of TDPPS, thereby ensuring that the psychological pain subfactor was measured accurately. Network analysis included all TDPPS items, depression, passive suicidal ideation (PSI), active suicidal ideation (ASI), and history of suicidal attempt (SA) to identify key loops of suicidality.

Results: EGA disclosed a three-factor structure of TDPPS comprising cognitive, affective, and motivational factors. Network analysis revealed that items of motivational factors, but none of the items of cognitive and affective factors, were directly linked to PSI, ASI, and SA. Furthermore, three communities were identified by a "walktrap" algorithm. Depression and cognitive factor coalesced into a 'cognitive' community, affective factor constituted an 'affective' community, and motivational factor, PSI, ASI, and SA comprised a 'suicidal' community.

Limitations: This study used a cross-sectional design that cannot provide information on causal relationships among variables in the network.

Conclusions: Psychological pain avoidance may be a direct driver of suicidality, and therefore its assessment and intervention in clinical practice is necessary.

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自杀的多种途径:基于心理痛苦三个组成部分的网络分析。
背景:心理痛苦是一种多维结构,长期以来一直被认为是自杀意念和行为的重要风险因素。在自杀的不同阶段,心理痛苦子因素之间的相互作用仍不明确:我们招募了一个相对较大的重度抑郁障碍门诊患者样本(N = 501)来完成三维心理痛苦量表(TDPPS)。通过探索性图形分析(EGA)来探索 TDPPS 的因子结构,从而确保心理疼痛子因子得到准确测量。网络分析包括 TDPPS 的所有项目、抑郁、被动自杀意念(PSI)、主动自杀意念(ASI)和自杀未遂史(SA),以确定自杀倾向的关键环路:EGA揭示了TDPPS的三因素结构,包括认知因素、情感因素和动机因素。网络分析显示,动机因素的项目与 PSI、ASI 和 SA 有直接联系,但认知和情感因素的项目均无直接联系。此外,通过 "walktrap "算法还发现了三个群体。抑郁和认知因素组成了一个 "认知 "群体,情感因素构成了一个 "情感 "群体,而动机因素、PSI、ASI 和 SA 则构成了一个 "自杀 "群体:本研究采用横断面设计,无法提供网络中各变量之间因果关系的信息:心理上的疼痛回避可能是自杀倾向的直接驱动因素,因此有必要在临床实践中对其进行评估和干预。
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来源期刊
Journal of affective disorders
Journal of affective disorders 医学-精神病学
CiteScore
10.90
自引率
6.10%
发文量
1319
审稿时长
9.3 weeks
期刊介绍: The Journal of Affective Disorders publishes papers concerned with affective disorders in the widest sense: depression, mania, mood spectrum, emotions and personality, anxiety and stress. It is interdisciplinary and aims to bring together different approaches for a diverse readership. Top quality papers will be accepted dealing with any aspect of affective disorders, including neuroimaging, cognitive neurosciences, genetics, molecular biology, experimental and clinical neurosciences, pharmacology, neuroimmunoendocrinology, intervention and treatment trials.
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