Unique longitudinal relationships between symptoms of psychopathology in youth: A cross-lagged panel network analysis in the ABCD study.
Unique longitudinal relationships between symptoms of psychopathology in youth: A cross-lagged panel network analysis in the ABCD study.
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青年精神病理学症状之间的独特纵向关系：ABCD研究中的交叉滞后面板网络分析
DOI：
10.1111/jcpp.13256
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发表时间：
2021-03
期刊：
影响因子：
--
通讯作者：
Shankman SA
中科院分区：
文献类型：
--
作者：
Funkhouser CJ;Chacko AA;Correa KA;Kaiser AJE;Shankman SA
网络理论表明，精神病理学可能反映个体症状之间的因果关系。一些研究已经考察了青少年个体症状之间的横断面关系。然而，这些研究无法解决网络理论所假设的时间关系的方向性问题。因此，我们评估了青少年内化、外化和注意力症状个体之间的纵向关系。
使用了来自青少年大脑认知发展（ABCD）研究的4093名青少年参与者的数据。使用简要问题监测器评估症状，该监测器在间隔六个月的三个时间点进行施测。使用交叉滞后面板网络模型评估T1和T2时间点症状之间独特的纵向关系。通过将该网络与一个同样评估的、由T2时间点症状预测T3时间点症状的复制网络进行比较，来评估网络的可重复性。
在控制了所有其他症状和人口统计学协变量后，T1时间点的抑郁情绪、注意力不集中和担忧对T2时间点的其他症状最具预测性。相比之下，T2时间点的暴力威胁和破坏行为最有可能由T1时间点的其他症状预测。抑郁情绪和无价值感之间的相互关联是网络中最强的双变量关系之一。原始网络和复制网络之间的比较（边列表之间的相关性 = 0.61；单个边的可重复性 = 64% - 84%）表明具有中等可重复性。
尽管观察性设计和方法学上的考虑因素排除了因果推断，但这些研究结果表明了青少年个体症状之间关系的方向性，并强调抑郁情绪、注意力不集中和担忧是其他症状的潜在影响因素。
The network theory suggests that psychopathology may reflect causal relationships between individual symptoms. Several studies have examined cross-sectional relationships between individual symptoms in youth. However, these studies cannot address the directionality of the temporal relationships hypothesized by the network theory. Therefore, we estimated the longitudinal relationships between individual internalizing, externalizing, and attention symptoms in youth. Data from 4,093 youth participants in the Adolescent Brain Cognitive Development (ABCD) study were used. Symptoms were assessed using the Brief Problem Monitor, which was administered at three time points spaced six months apart. Unique longitudinal relationships between symptoms at T1 and T2 were estimated using cross-lagged panel network modeling. Network replicability was assessed by comparing this network to an identically estimated replication network of symptoms at T2 predicting symptoms at T3. After controlling for all other symptoms and demographic covariates, depressed mood, inattention, and worry at T1 were most predictive of other symptoms at T2. In contrast, threats of violence and destructiveness at T2 were most prospectively predicted by other symptoms at T1. The reciprocal associations between depressed mood and worthlessness were among the strongest bivariate relationships in the network. Comparisons between the original network and the replication network (correlation between edge lists = .61; individual edge replicability = 64–84%) suggested moderate replicability. Although causal inferences are precluded by the observational design and methodological considerations, these findings demonstrate the directionality of relationships between individual symptoms in youth and highlight depressed mood, inattention, and worry as potential influencers of other symptoms.
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