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为多维评估档案内化维度建立正常:异常的儿童早期内化行为谱模型:一种临床发展方法。

Modeling the normal:abnormal spectrum of early childhood internalizing behaviors: A clinical-developmental approach for the Multidimensional Assessment Profiles Internalizing Dimensions.

机构信息

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.

出版信息

Int J Methods Psychiatr Res. 2023 Nov;32(S1):e1987. doi: 10.1002/mpr.1987. Epub 2023 Oct 10.

Abstract

BACKGROUND

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.

METHODS

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.

RESULTS

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.

CONCLUSIONS

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.

摘要

背景

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。

方法

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。

结果

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。

结论

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。

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