Hawes Samuel W, Littlefield Andrew K, Lopez Daniel A, Sher Kenneth J, Thompson Erin L, Gonzalez Raul, Aguinaldo Laika, Adams Ashley R, Bayat Mohammadreza, Byrd Amy L, Castro-de-Araujo Luis Fs, Dick Anthony, Heeringa Steven F, Kaiver Christine M, Lehman Sarah M, Li Lin, Linkersdörfer Janosch, Maullin-Sapey Thomas J, Neale Michael C, Nichols Thomas E, Perlstein Samantha, Tapert Susan F, Vize Colin E, Wagner Margot, Waller Rebecca, Thompson Wesley K
Center for Children & Families, Florida International University, Miami, FL, USA.
Psychological Sciences, Texas Tech University, Lubbock, TX, USA.
Dev Cogn Neurosci. 2025 Apr;72:101518. doi: 10.1016/j.dcn.2025.101518. Epub 2025 Feb 8.
The Adolescent Brain Cognitive Development® (ABCD) Study provides a unique opportunity to investigate developmental processes in a large, diverse cohort of youths, aged approximately 9-10 at baseline and assessed annually for 10 years. Given the size and complexity of the ABCD Study, researchers analyzing its data will encounter a myriad of methodological and analytical considerations. This review provides an examination of key concepts and techniques related to longitudinal analyses of the ABCD Study data, including: (1) characterization of the factors associated with variation in developmental trajectories; (2) assessment of how level and timing of exposures may impact subsequent development; (3) quantification of how variation in developmental domains may be associated with outcomes, including mediation models and reciprocal relationships. We emphasize the importance of selecting appropriate statistical models to address these research questions. By presenting the advantages and potential challenges of longitudinal analyses in the ABCD Study, this review seeks to equip researchers with foundational knowledge and tools to make informed decisions as they navigate and effectively analyze and interpret the multi-dimensional longitudinal data currently available.
青少年大脑认知发展（ABCD）研究提供了一个独特的机会，用以调查一大群背景各异的青少年的发育过程。这些青少年在基线时年龄约为9至10岁，并在10年中每年接受评估。鉴于ABCD研究的规模和复杂性，分析其数据的研究人员将面临无数的方法学和分析方面的考量。本综述对与ABCD研究数据纵向分析相关的关键概念和技术进行了审视，包括：（1）对与发育轨迹变化相关因素的特征描述；（2）评估暴露的水平和时间如何可能影响后续发育；（3）量化发育领域的变化如何可能与结果相关联，包括中介模型和相互关系。我们强调选择合适的统计模型以解决这些研究问题的重要性。通过阐述ABCD研究纵向分析的优势和潜在挑战，本综述旨在为研究人员提供基础知识和工具，以便他们在处理、有效分析和解释当前可用的多维度纵向数据时能够做出明智的决策。
