Network analysis of ecological momentary assessment identifies frustration as a central node in irritability.
Network analysis of ecological momentary assessment identifies frustration as a central node in irritability.
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DOI：
10.1111/jcpp.13794
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发表时间：
2023-08
影响因子：
7.6
通讯作者：
Brotman, Melissa A.
中科院分区：
文献类型：
--
作者：
Tseng, Wan-Ling;Naim, Reut;Chue, Amanda;Shaughnessy, Shannon;Meigs, Jennifer;Pine, Daniel S.;Leibenluft, Ellen;Kircanski, Katharina;Brotman, Melissa A.
烦躁是跨诊断的表现，通常与焦虑和其他情绪症状一起发生。然而，人们对与烦躁相关的临床现象之间的时间和动态相互作用知之甚少。我们使用一种新颖的网络分析方法和基于智能手机的生态瞬时评估（EMA），研究了烦躁与其他焦虑和情绪症状之间的关系。样本包括 152 名 8-18 岁青少年（M ± SD = 12.28 ± 2.53；69.74% 男性；65.79% 白人），涵盖多个诊断组，富含易激惹疾病，包括破坏性情绪失调障碍 (n = 34)、对立违抗障碍 (n = 9)、注意力缺陷/多动障碍 (n = 47)、焦虑症 (n = 29），以及健康比较（n = 33）。参与者每天完成 3 次关于烦躁相关结构以及其他情绪和焦虑症状的 EMA，持续 7 天。 EMA 在两个时间尺度上调查症状：“自上次提示以来”（提示之间）与“提示时”（瞬时）。在 EMA 之后，还使用家长、儿童和临床医生报告（情感反应指数；ARI）评估烦躁性。多级向量自回归（mlVAR）模型估计了时间的、同期的受试者内和受试者间的症状网络，分别针对提示间症状和瞬时症状。对于提示之间的症状，挫败感成为受试者内部和受试者之间网络中最中心的节点，并预测时间网络中下一个时间点的更多情绪变化。对于瞬时症状，悲伤和愤怒分别成为主体内和主体间网络中最中心的节点。虽然愤怒与个体内部和测量场合的悲伤呈正相关，但愤怒与个体之间的悲伤、情绪不稳定和担忧呈更广泛的正相关。最后，EMA 指数烦躁性的平均水平（而非变异性）与 ARI 评分密切相关。这项研究增进了目前对烦躁症状水平和时间动态的理解。结果表明沮丧是一个潜在的临床相关治疗目标。未来系统地操纵烦躁相关特征（例如沮丧、不公平）的实验工作和临床试验将阐明临床变量之间的因果关系。
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.
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DOI：
10.1146/annurev-clinpsy-032816-044941
发表时间：
2017-01-01
期刊：
ANNUAL REVIEW OF CLINICAL PSYCHOLOGY, VOL 13
影响因子：
--
作者：
Brotman, Melissa A.;Kircanski, Katharina;Leibenluft, Ellen
通讯作者：
Leibenluft, Ellen
影响因子：
4.1
作者：
Kircanski, Katharina;Craske, Michelle G.;Brotman, Melissa A.
通讯作者：
Brotman, Melissa A.
DOI：
10.1146/annurev-clinpsy-050212-185608
发表时间：
2013-01-01
期刊：
ANNUAL REVIEW OF CLINICAL PSYCHOLOGY, VOL 9
影响因子：
--
作者：
Borsboom, Denny;Cramer, Angelique O. J.
通讯作者：
Cramer, Angelique O. J.
影响因子：
5.9
作者：
Rodebaugh TL;Tonge NA;Piccirillo ML;Fried E;Horenstein A;Morrison AS;Goldin P;Gross JJ;Lim MH;Fernandez KC;Blanco C;Schneier FR;Bogdan R;Thompson RJ;Heimberg RG
通讯作者：
Heimberg RG
影响因子：
3.8
作者：
Epskamp, Sacha;Waldorp, Lourens J.;Borsboom, Denny
通讯作者：
Borsboom, Denny