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网络分析生态瞬时评估确定沮丧为易激惹的中心节点。

Network analysis of ecological momentary assessment identifies frustration as a central node in irritability.

机构信息

Yale Child Study Center, Yale University School of Medicine, New Haven, CT, USA.

Emotion and Development Branch, National Institute of Mental Health, Bethesda, MD, USA.

出版信息

J Child Psychol Psychiatry. 2023 Aug;64(8):1212-1221. doi: 10.1111/jcpp.13794. Epub 2023 Mar 28.

Abstract

BACKGROUND

Irritability presents transdiagnostically, commonly occurring with anxiety and other mood symptoms. However, little is known about the temporal and dynamic interplay among irritability-related clinical phenomena. Using a novel network analytic approach with smartphone-based ecological momentary assessment (EMA), we examined how irritability and other anxiety and mood symptoms were connected.

METHODS

Sample included 152 youth ages 8-18 years (M ± SD = 12.28 ± 2.53; 69.74% male; 65.79% White) across several diagnostic groups enriched for irritability including disruptive mood dysregulation disorder (n = 34), oppositional defiant disorder (n = 9), attention-deficit/hyperactivity disorder (n = 47), anxiety disorder (n = 29), and healthy comparisons (n = 33). Participants completed EMA on irritability-related constructs and other mood and anxiety symptoms three times a day for 7 days. EMA probed symptoms on two timescales: "since the last prompt" (between-prompt) versus "at the time of the prompt" (momentary). Irritability was also assessed using parent-, child- and clinician-reports (Affective Reactivity Index; ARI), following EMA. Multilevel vector autoregressive (mlVAR) models estimated a temporal, a contemporaneous within-subject and a between-subject network of symptoms, separately for between-prompt and momentary symptoms.

RESULTS

For between-prompt symptoms, frustration emerged as the most central node in both within- and between-subject networks and predicted more mood changes at the next timepoint in the temporal network. For momentary symptoms, sadness and anger emerged as the most central node in the within- and between-subject network, respectively. While anger was positively related to sadness within individuals and measurement occasions, anger was more broadly positively related to sadness, mood lability, and worry between/across individuals. Finally, mean levels, not variability, of EMA-indexed irritability were strongly related to ARI scores.

CONCLUSIONS

This study advances current understanding of symptom-level and temporal dynamics of irritability. Results suggest frustration as a potential clinically relevant treatment target. Future experimental work and clinical trials that systematically manipulate irritability-related features (e.g. frustration, unfairness) will elucidate the causal relations among clinical variables.

摘要

背景

易激惹在跨诊断中呈现,常与焦虑和其他情绪症状同时发生。然而,对于易激惹相关临床现象之间的时间和动态相互作用知之甚少。本研究使用基于智能手机的生态瞬时评估(EMA)的新型网络分析方法,研究了易激惹和其他焦虑和情绪症状之间的联系。

方法

该样本包括来自多个诊断组的 152 名 8-18 岁的青少年(M ± SD=12.28 ± 2.53;69.74%为男性;65.79%为白人),这些组包括易激惹障碍(破坏性心境失调障碍,n=34;对立违抗性障碍,n=9;注意缺陷/多动障碍,n=47;焦虑障碍,n=29)和健康对照组(n=33)。参与者每天完成 3 次 EMA,共 7 天,评估与易激惹相关的结构以及其他情绪和焦虑症状。EMA 在两个时间尺度上探测症状:“自上次提示以来”(提示之间)与“在提示时”(瞬间)。易激惹也使用父母、儿童和临床医生报告(情感反应指数;ARI)进行评估,紧随 EMA 之后。多层次向量自回归(mlVAR)模型分别为提示之间和瞬间症状估计了一个时间、一个个体内和一个个体间的症状的网络。

结果

对于提示之间的症状,挫折感在个体内和个体间网络中都是最核心的节点,并且在时间网络中预测下一个时间点会有更多的情绪变化。对于瞬间症状,悲伤和愤怒分别是个体内和个体间网络中最核心的节点。虽然愤怒在个体内和个体间的测量点上与悲伤呈正相关,但愤怒与悲伤、情绪不稳定性和担忧之间的关系更广泛。最后,易激惹的平均水平(而不是变异性)与 ARI 评分密切相关。

结论

这项研究推进了对易激惹症状水平和时间动态的理解。结果表明挫折感可能是一个潜在的临床相关治疗靶点。未来的实验工作和临床试验,系统地操纵易激惹相关特征(如挫折感、不公平感)将阐明临床变量之间的因果关系。

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