The temporal stability of the bifactor model of comorbidity: An examination of moderated continuity pathways
The temporal stability of the bifactor model of comorbidity: An examination of moderated continuity pathways
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DOI：
10.1016/j.comppsych.2016.09.010
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发表时间：
2017-01-01
影响因子：
7.3
通讯作者：
Eaton, Nicholas R.
中科院分区：
文献类型：
--
作者：
Greene, Ashley L.;Eaton, Nicholas R.
背景：精神病理学的结构模型表明，常见的精神障碍共病反映了潜在的转诊断因素。多项研究已经复制了transdiagnosis内在化（情绪和焦虑障碍）和外在化（物质使用，反社会和冲动相关的疾病）因素;其他研究支持内在化的痛苦和恐惧子因素。这些因素显示出高度的时间稳定性。最近，出现了多变量共病的双因素概念化，假定存在一个正交的一般精神病理学因素，除了内化/痛苦/恐惧和外化之外，它还饱和了所有诊断，尽管没有研究研究过成年人中这种竞争模型中因素的时间稳定性。方法：在一个大的，两波全国代表性样本（N = 43，093）中，我们研究了双因子模型的结构，并在结构方程建模框架中检查了所有潜在的因子内和因子间稳定性途径。波1一般因子预测波2一般因子）高，而域间通路（例如，第一波一般因子预测第二波外化因子）与零无显著差异。然后，我们测试了因素稳定性的可能年龄和性别适度，发现除恐惧外，所有因素的稳定性在人口统计学亚组之间存在显着差异。然而，这些差异是没有临床意义的。结论：结果表明，双因素模型的因素表现出不同程度的时间稳定性，随着时间的推移，最低的comorbian连续性反映困扰稳定。调查结果进行了讨论，最近的证据表明，一般的因素可能在一定程度上，代表了负面情绪的内在化/痛苦相关的两个和三个因素的解决方案。(C)2016 Elsevier Inc. All rights reserved.
Background: Structural models of psychopathology indicate that common mental disorder comorbidity reflects latent transdiagnostic factors. Multiple studies have replicated transdiagnostic internalizing (mood and anxiety disorders) and externalizing (substance use, antisociality-, and impulsivity-related disorders) factors; other studies support distress and fear sub-factors of internalizing. These factors show a high degree of temporal stability. Recently, a bifactor conceptualization of multivariate comorbidity has emerged, positing the existence of an orthogonal general psychopathology factor that saturates all diagnoses in addition to internalizing/distress/fear and externalizing, although no studies have examined the temporal stability of the factors in this competing model over time among adults.Method: In a large, two-wave nationally representative sample (N = 43,093), we investigated the structure of the bifactor model and examined all potential within-and between-factor stability pathways in a structural equation modeling framework.Results: In general, within-domain stability (e.g., Wave 1 general factor predicting Wave 2 general factor) was high, while between-domain pathways (e.g., Wave 1 general factor predicting the Wave 2 externalizing factor) did not differ significantly from zero. We then tested possible age and gender moderation of factor stability, finding that the stability for all factors, except fear, significantly differed across demographic sub-groups. However, these differences were not clinically meaningful.Conclusions: Results indicated that bifactor model factors show varying degrees of temporal stability, with lowest comorbidity continuity over time reflecting distress stability. Findings are discussed with regard to recent evidence that the general factor may, to some extent, represent the negative emotionality captured by internalizing/distress in correlated two-and three-factor solutions. (C) 2016 Elsevier Inc. All rights reserved.