Department of Medical Social Sciences, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA.
The Institute for Innovations in Developmental Sciences, Northwestern University, Chicago, Illinois, USA.
Int J Methods Psychiatr Res. 2023 Nov;32(S1):e1987. doi: 10.1002/mpr.1987. Epub 2023 Oct 10.
We expanded the Multidimensional Assessment Profiles (MAPS) Scales developmental specification model to characterize the normal:abnormal spectrum of internalizing (anxious and depressive) behaviors in early childhood via the MAPS-Internalizing (MAPS-INT) scale.
The MAPS-INT item pool was generated based on clinical expertise and prior research. Analyses were conducted on a sub-sample of families (n = 183) from the diverse When to Worry early childhood sample.
Normal:abnormal descriptive patterns for both anxious and depressive behaviors were consistent with prior work: (1) extremes of normative variation are abnormal when very frequent; and (2) pathognomonic indicators that most children do not engage in and are abnormal, even if infrequent. Factor analysis revealed a two-factor MAPS-INT Anxious Behaviors structure (Fearful-Worried and Separation Distress) and a unidimensional MAPS-INT Depressive Behaviors factor with good fit and good-to-excellent test-retest reliability and validity.
We characterized the normal:abnormal spectrum of internalizing behaviors in early childhood via the MAPS-INT. Future research in larger representative samples can replicate and extend findings, including clinical thresholds and predictive utility. The MAPS-INT helps lay the groundwork for dimensional characterization of the internalizing spectrum to advance neurodevelopmental approaches to emergent psychopathology and its earlier identification.
我们扩展了多维评估档案 (MAPS) 量表的发展规范模型,通过 MAPS-内化 (MAPS-INT) 量表来描述儿童早期内化(焦虑和抑郁)行为的正常:异常谱。
MAPS-INT 项目池是基于临床专业知识和先前的研究生成的。对来自不同“何时担心”幼儿样本的一个亚组家庭(n=183)进行了分析。
焦虑和抑郁行为的正常:异常描述模式与先前的工作一致:(1)当非常频繁时,正常变异的极端是异常的;(2)即使不常见,大多数儿童不参与且异常的特征指标。因子分析显示 MAPS-INT 焦虑行为有两个因素结构(恐惧-担忧和分离痛苦)和一个单维 MAPS-INT 抑郁行为因素,具有良好的拟合度、良好到优秀的重测信度和效度。
我们通过 MAPS-INT 描述了儿童早期内化行为的正常:异常谱。在更大的代表性样本中进行的未来研究可以复制和扩展这些发现,包括临床阈值和预测效用。MAPS-INT 有助于为内化谱的维度特征奠定基础,以推进新兴精神病理学的神经发育方法及其早期识别。