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使用共同因素框架对童年不良经历进行建模时的理论与定量脱节:应激源研究中因果指标模型的论据。

Theoretical and Quantitative Disconnect When Modeling Adverse Childhood Experiences Using a Common Factor Framework: An Argument for Causal Indicator Models in Stressor Research.

作者信息

Moriarity Daniel P, Slavich George M

机构信息

Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, California, USA.

出版信息

Child Dev. 2025 Jul-Aug;96(4):1255-1259. doi: 10.1111/cdev.14230. Epub 2025 Apr 19.

Abstract

Adverse childhood experiences (ACEs) are highly impactful stressors that increase individuals' risk for a plethora of negative developmental and health outcomes. Furthermore, minoritized groups and under-resourced individuals are at higher risk for ACEs, positioning these stressors as possible mechanisms driving health disparities. Given this fact, a strong methodological foundation is necessary to ensure maximal clinical value. As emphasized by Jensen et al. (https://doi.org/10.1111/cdev.14050), this foundation must begin with rigorous ACEs measurement-a goal that requires careful matching between ACEs measures and the scoring procedures used. To amplify their message while advocating for an alternative approach that may better reflect the conceptualization of ACEs, we write this commentary to highlight the merits of causal indicator models as a better match between theory and methodology.

摘要

童年不良经历(ACEs)是极具影响力的应激源,会增加个体出现大量负面发育和健康结果的风险。此外,少数群体和资源匮乏的个体遭受ACEs的风险更高,这些应激源可能是导致健康差距的机制。鉴于这一事实,需要一个强大的方法学基础来确保最大的临床价值。正如詹森等人(https://doi.org/10.1111/cdev.14050)所强调的,这一基础必须始于严格的ACEs测量——这一目标要求ACEs测量方法与所使用的评分程序仔细匹配。为了在倡导一种可能更好地反映ACEs概念化的替代方法的同时强化他们的观点,我们撰写本评论以强调因果指标模型作为理论与方法之间更好匹配的优点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0400/12208002/793f8df27369/CDEV-96-1255-g001.jpg

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