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