青少年精神病理学症状的独特纵向关系：ABCD 研究中的交叉滞后面板网络分析。
Unique longitudinal relationships between symptoms of psychopathology in youth: A cross-lagged panel network analysis in the ABCD study.
机构信息
Department of Psychology, University of Illinois at Chicago, Chicago, IL, USA.
Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
出版信息
J Child Psychol Psychiatry. 2021 Feb;62(2):184-194. doi: 10.1111/jcpp.13256. Epub 2020 May 12.
BACKGROUND
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.
METHODS
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.
RESULTS
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.
CONCLUSIONS
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.
背景
网络理论表明，精神病理学可能反映了个体症状之间的因果关系。已有几项研究检验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假设的时间关系的方向性。因此，我们估计了青少年个体内化、外化和注意力症状之间的纵向关系。
方法
使用来自青少年大脑认知发展（ABCD）研究的 4093 名青年参与者的数据。使用简短问题监测器评估症状，该监测器在相隔六个月的三个时间点进行评估。使用跨时滞面板网络模型估计 T1 和 T2 之间症状之间的独特纵向关系。通过比较该网络与同样估计的 T2 预测 T3 症状的症状的复制网络，评估网络的可重复性。
结果
在控制所有其他症状和人口统计学协变量后，T1 时的抑郁情绪、注意力不集中和担忧最能预测 T2 时的其他症状。相比之下，T2 时的暴力和破坏威胁最能预测 T1 时的其他症状。网络中抑郁情绪和无价值感之间的相互关联是最强的双变量关系之一。原始网络和复制网络之间的比较（边缘列表之间的相关性=0.61；个体边缘可重复性=64%-84%）表明具有中等可重复性。
结论
尽管观察性设计和方法学考虑排除了因果推论，但这些发现表明了青少年个体症状之间关系的方向性，并强调了抑郁情绪、注意力不集中和担忧可能是其他症状的影响因素。
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