Identifying intervention targets in the COVID-19 pandemic-related psychopathological network among adolescents: A simulating intervention study.

IF 2.7 2区 心理学 Q2 PSYCHIATRY
Li Wang, Chen Chen, Chengqi Cao, Ping Liu, Yajie Bi, Shu Luo, Emma Grace, Miranda Olff, Gabriela Lunansky
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Abstract

Objective: Network approaches to the pandemic-related psychopathology could help identify the effective targets for interventions in adolescents. However, previous studies involved only limited forms of psychopathology related to stress and trauma and relied on the traditional centrality analysis. This study aimed to identify more effective intervention targets of pandemic-related psychopathological symptoms in a large-scale sample of adolescents using a newly developed network-based simulation intervention technique.

Method: Data were yielded from an online survey in China conducted 3 months after the first wave of the pandemic, and participants endorsing at least one pandemic-related psychopathological symptom measured with the Global Psychotrauma Screen for Teenagers (n = 32,932) were included in the analyses. Network structure was estimated using the Ising model. Simulation interventions were implemented using the NodeIdentifyR algorithm. In the NodeIdentifyR algorithm, alleviating or aggravating interventions were implemented by decreasing or increasing the probability of a symptom being present.

Results: Psychopathological symptoms were connected tightly, and depressed mood demonstrated the highest strength centrality. The NodeIdentifyR algorithm indicated that restlessness had the strongest projected effect on decreasing the sum score after alleviating interventions, and depressed mood had the strongest projected effect on increasing the sum score after aggravating interventions.

Conclusions: Adolescents exposed to the pandemic would experience a range of interacted psychopathological symptoms and depressed mood, and restlessness might serve as a central node in activating and maintaining the symptoms, respectively. These findings contribute to the current understanding of psychopathology among adolescents following the pandemic and inform the development of mental health strategies for this particular population. (PsycInfo Database Record (c) 2025 APA, all rights reserved).

青少年COVID-19大流行相关精神病理网络干预目标识别:一项模拟干预研究
目的:用网络方法研究流行病相关的精神病理学有助于确定青少年干预的有效目标。然而,以往的研究只涉及与压力和创伤相关的有限形式的精神病理学,并且依赖于传统的中心性分析。本研究旨在利用新开发的基于网络的模拟干预技术,在大规模青少年样本中确定更有效的大流行相关精神病理症状干预目标。方法:数据来自第一波大流行3个月后在中国进行的一项在线调查,参与者认可至少一种与大流行相关的精神病理症状,并使用全球青少年心理创伤筛查(n = 32,932)进行测量。使用Ising模型估计网络结构。模拟干预使用NodeIdentifyR算法实现。在NodeIdentifyR算法中,通过降低或增加出现症状的概率来减轻或加重干预措施。结果:精神病理症状联系紧密,抑郁情绪表现出最高的强度中心性。NodeIdentifyR算法显示,缓解干预后,躁动对降低总分的预测效果最强,加重干预后,抑郁情绪对提高总分的预测效果最强。结论:暴露于大流行的青少年会出现一系列相互作用的精神病理症状和抑郁情绪,而躁动可能分别是激活和维持这些症状的中心节点。这些发现有助于目前对大流行后青少年精神病理学的理解,并为这一特定人群制定心理健康策略提供信息。(PsycInfo Database Record (c) 2025 APA,版权所有)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
11.20
自引率
3.20%
发文量
427
期刊介绍: Psychological Trauma: Theory, Research, Practice, and Policy publishes empirical research on the psychological effects of trauma. The journal is intended to be a forum for an interdisciplinary discussion on trauma, blending science, theory, practice, and policy. The journal publishes empirical research on a wide range of trauma-related topics, including: -Psychological treatments and effects -Promotion of education about effects of and treatment for trauma -Assessment and diagnosis of trauma -Pathophysiology of trauma reactions -Health services (delivery of services to trauma populations) -Epidemiological studies and risk factor studies -Neuroimaging studies -Trauma and cultural competence
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