Depressive symptoms as a heterogeneous and constantly evolving dynamical system: Idiographic depressive symptom networks of rapid symptom changes among persons with major depressive disorder.

IF 3.1 Q2 PSYCHIATRY Journal of psychopathology and clinical science Pub Date : 2024-02-01 DOI:10.1037/abn0000884
Matthew D Nemesure, Amanda C Collins, George D Price, Tess Z Griffin, Arvind Pillai, Subigya Nepal, Michael V Heinz, Damien Lekkas, Andrew T Campbell, Nicholas C Jacobson
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Abstract

Major depressive disorder (MDD) is conceptualized by individual symptoms occurring most of the day for at least two weeks. Despite this operationalization, MDD is highly variable with persons showing greater variation within and across days. Moreover, MDD is highly heterogeneous, varying considerably across people in both function and form. Recent efforts have examined MDD heterogeneity byinvestigating how symptoms influence one another over time across individuals in a system; however, these efforts have assumed that symptom dynamics are static and do not dynamically change over time. Nevertheless, it is possible that individual MDD system dynamics change continuously across time. Participants (N = 105) completed ratings of MDD symptoms three times a day for 90 days, and we conducted time varying vector autoregressive models to investigate the idiographic symptom networks. We then illustrated this finding with a case series of five persons with MDD. Supporting prior research, results indicate there is high heterogeneity across persons as individual network composition is unique from person to person. In addition, for most persons, individual symptom networks change dramatically across the 90 days, as evidenced by 86% of individuals experiencing at least one change in their most influential symptom and the median number of shifts being 3 over the 90 days. Additionally, most individuals had at least one symptom that acted as both the most and least influential symptom at any given point over the 90-day period. Our findings offer further insight into short-term symptom dynamics, suggesting that MDD is heterogeneous both across and within persons over time. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

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抑郁症状是一个异质的、不断演变的动态系统:重度抑郁症患者症状快速变化的图像抑郁症状网络。
重度抑郁障碍(MDD)的概念是个人症状在一天中的大部分时间出现,持续至少两周。尽管采用了这种操作方法,但重度抑郁障碍的变化很大,患者在一天之内和一天之间的变化更大。此外,MDD 还具有高度异质性,在功能和形式上因人而异。最近的研究通过调查症状如何随着时间的推移在一个系统中的不同个体之间相互影响,对 MDD 的异质性进行了研究;然而,这些研究假定症状的动态变化是静态的,不会随着时间的推移而发生动态变化。然而,MDD 系统中个体的动态变化有可能随着时间的推移而不断变化。参与者(N = 105)在 90 天内每天三次完成对 MDD 症状的评分,我们采用时变向量自回归模型来研究特异性症状网络。然后,我们用五名 MDD 患者的病例系列说明了这一发现。与之前的研究结果一致,研究结果表明,由于个体网络构成因人而异,因此不同患者之间存在高度异质性。此外,对于大多数人来说,个人症状网络在 90 天内会发生巨大变化,86% 的人在其最有影响力的症状上至少发生过一次变化,90 天内变化的中位数为 3 次,这就证明了这一点。此外,大多数人在 90 天内的任何时候都至少有一种症状既是影响最大的症状,也是影响最小的症状。我们的研究结果进一步揭示了短期症状的动态变化,表明随着时间的推移,多发性抑郁症在不同个体之间和个体内部都存在异质性。(PsycInfo Database Record (c) 2024 APA,保留所有权利)。
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