Department of Psychology.
J Psychopathol Clin Sci. 2022 Feb;131(2):162-171. doi: 10.1037/abn0000714. Epub 2021 Dec 20.
Many children who suffer from one mental health issue also suffer from at least one co-occurring disorder and a range of developmental psychopathology theories, including developmental cascade and network models, have been proposed to explain this widespread co-occurrence. Autoregressive latent trajectory models with structured residuals (ALT-SR) and multilevel graphical vector autoregression (GVAR) are recently proposed complementary approaches that can help operationalize and test these theories and provide new insights into the reciprocal relations between multiple mental health domains to advance the understanding of the development of co-occurring mental health problems. This study uses ALT-SR and multilevel GVAR models to analyze the temporal, contemporaneous, and between-person relations between key dimensions of child mental health: emotional problems, peer problems, conduct problems, hyperactivity/inattention, and prosociality as measured by the parent-reported Strengths and Difficulties Questionnaire (SDQ) in 17,478 children from the U.K. Millennium Cohort study at ages 3, 5, 7, 11, 14, and 17 years. Children's strengths and difficulties in different domains of psychosocial functioning were dynamically associated with each other over- and within-time. The ALT-SR highlighted that hyperactivity/inattention plays a central role in affecting other domains over developmental time, while the GVAR model highlighted comparably strong bidirectional relations between conduct problems and prosociality as well as between emotional problems and peer problems. This study confirms that mental health difficulties influence one another dynamically over time. The complementary techniques of ALT-SR and GVAR models offer different insights into co-occurring mental health problems and hold promise for supporting the building of more comprehensive developmental psychopathological theories that acknowledge the interconnectedness of different domains of mental health. (PsycInfo Database Record (c) 2022 APA, all rights reserved).
许多患有一种心理健康问题的儿童也患有至少一种共病障碍，包括发展级联和网络模型在内的一系列发展心理病理学理论被提出以解释这种广泛的共病现象。具有结构残差的自回归潜在轨迹模型（ALT-SR）和多层次图形向量自回归（GVAR）是最近提出的互补方法，可用于操作和测试这些理论，并提供对多个心理健康领域之间相互关系的新见解，以推进对共患心理健康问题发展的理解。本研究使用 ALT-SR 和多层次 GVAR 模型来分析儿童心理健康的关键维度之间的时间、同期和个体间关系：情绪问题、同伴问题、行为问题、多动/注意力不集中和亲社会行为，这些维度由 UK 千年队列研究中的父母报告的 Strengths and Difficulties Questionnaire（SDQ）在 17478 名儿童中进行测量，年龄为 3、5、7、11、14 和 17 岁。儿童在不同心理社会功能领域的优势和困难在时间上和时间内动态地相互关联。ALT-SR 强调，多动/注意力不集中在发展过程中对其他领域的影响起着核心作用，而 GVAR 模型则强调行为问题和亲社会行为以及情绪问题和同伴问题之间同样强烈的双向关系。本研究证实，心理健康问题随着时间的推移而相互动态地影响。ALT-SR 和 GVAR 模型的互补技术为共患心理健康问题提供了不同的见解，并有望支持建立更全面的发展心理病理学理论，承认心理健康不同领域的相互关联性。（PsycInfo 数据库记录（c）2022 APA，保留所有权利）。
