Vermont Center for Children, Youth and Families, University of Vermont, Burlington, VT 05401, USA.
J Am Acad Child Adolesc Psychiatry. 2010 Dec;49(12):1215-24. doi: 10.1016/j.jaac.2010.08.019. Epub 2010 Nov 11.
To test the fit of a seven-syndrome model to ratings of preschoolers' problems by parents in very diverse societies.
Parents of 19,106 children 18 to 71 months of age from 23 societies in Asia, Australasia, Europe, the Middle East, and South America completed the Child Behavior Checklist for Ages 1.5-5 (CBCL/1.5-5). Confirmatory factor analyses were used to test the seven-syndrome model separately for each society.
The primary model fit index, the root mean square error of approximation (RMSEA), indicated acceptable to good fit for each society. Although a six-syndrome model combining the Emotionally Reactive and Anxious/Depressed syndromes also fit the data for nine societies, it fit less well than the seven-syndrome model for seven of the nine societies. Other fit indices yielded less consistent results than the RMSEA.
The seven-syndrome model provides one way to capture patterns of children's problems that are manifested in ratings by parents from many societies. Clinicians working with preschoolers from these societies can thus assess and describe parents' ratings of behavioral, emotional, and social problems in terms of the seven syndromes. The results illustrate possibilities for culture-general taxonomic constructs of preschool psychopathology. Problems not captured by the CBCL/1.5-5 may form additional syndromes, and other syndrome models may also fit the data.
检验一个七症状模型在来自亚洲、澳大拉西亚、欧洲、中东和南美洲 23 个社会的非常多样化的父母对学龄前儿童问题的评定中的适配度。
来自 23 个社会的 19106 名 18 至 71 个月大的儿童的父母完成了儿童行为检查表 1.5-5 版（CBCL/1.5-5）。使用验证性因子分析分别对每个社会的七症状模型进行检验。
主要的模型拟合指数，近似均方根误差（RMSEA），表明每个社会的拟合度为可接受到良好。尽管将情绪反应和焦虑/抑郁两个症状合并为一个六症状模型也适用于九个社会的数据，但在其中七个社会中，它的拟合度不如七症状模型。其他拟合指数的结果不如 RMSEA 一致。
七症状模型为从许多社会的父母评定中捕捉儿童问题模式提供了一种方法。与来自这些社会的学龄前儿童一起工作的临床医生可以根据这七个症状来评估和描述父母对行为、情感和社会问题的评定。研究结果说明了具有普遍文化分类学结构的学龄前精神病理学的可能性。未被 CBCL/1.5-5 捕捉到的问题可能形成额外的症状，其他的症状模型也可能适用于数据。
