Department of Psychology, University of South Florida, Tampa, FL, USA.
Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA.
Dev Psychopathol. 2023 Oct;35(4):1775-1793. doi: 10.1017/S0954579422000463. Epub 2022 Jul 11.
Considerable attention has been directed towards studying co-occurring psychopathology through the lens of a general factor (-factor). However, the developmental trajectory and stability of the -factor have yet to be fully understood. The present study examined the explanatory power of dynamic mutualism theory - an alternative framework that suggests the -factor is a product of lower-level symptom interactions that strengthen throughout development. Data were drawn from a population-based sample of girls ( = 2450) who reported on the severity of internalizing and externalizing problems each year from age 14 to age 21. Predictions of dynamic mutualism were tested using three distinct complementary statistical approaches including: longitudinal bifactor models, random-intercept cross-lagged panel models (RI-CLPMs), and network models. Across methods, study results document preliminary support for mutualistic processes in the development of co-occurring psychopathology (that is captured in ). Findings emphasize the importance of exploring alternative frameworks and methods for better understanding the -factor and its development.
人们已经关注到通过一般因素（-factor）的视角来研究共病精神病理学。然而，-factor 的发展轨迹和稳定性尚未得到充分理解。本研究通过对从 14 岁到 21 岁每年报告内化和外化问题严重程度的基于人群的女孩样本（=2450）的数据，检验了动态相互作用理论（一种替代框架）的解释力。该理论表明，-factor 是较低层次症状相互作用的产物，这些相互作用在整个发展过程中得到加强。使用三种不同的补充统计方法，包括：纵向双因素模型、随机截距交叉滞后面板模型（RI-CLPM）和网络模型，检验了动态相互作用的预测。结果表明，相互作用过程对共病精神病理学的发展具有初步支持（在中捕获）。研究结果强调了探索替代框架和方法以更好地理解- factor 及其发展的重要性。
