a Department of Child and Adolescent Psychiatry , Ann & Robert H. Lurie Children's Hospital of Chicago.
b Feinberg School of Medicine, Northwestern University.
J Clin Child Adolesc Psychol. 2019 Jan-Feb;48(1):93-107. doi: 10.1080/15374416.2017.1280806. Epub 2017 Feb 26.
Our ability to predict which children will exhibit oppositional defiant disorder (ODD) at the time of entry into grammar school at age 6 lags behind our understanding of the risk factors for ODD. This study examined how well a set of multidomain risk factors for ODD assessed in 4-year-old children predicted age 6 ODD diagnostic status. Participants were a diverse sample of 796 4-year-old children (391 boys).The sample was 54% White, non-Hispanic; 16.8% African American, 20.4% Hispanic; 2.4% Asian; and 4.4% Other or mixed race. The classification accuracy of two models of multidomain risk factors, using either a measure of overall ODD symptoms or dimensions of ODD obtained at age 4, were compared to one another, to chance, and to a parsimonious model based solely on parent-reported ODD using Automated Classification Tree Analysis. Effect Strength for Sensitivity (ESS), a measure of classification accuracy, indicated a multidomain model including a general measure of ODD symptoms at age 4 yielded a large effect (56.29%), a 13.7% increase over the ESS for the parsimonious model (ESS = 42.9%). The ESS (51.23%) for a model including two ODD dimensions (behavior and negative affect) was smaller than that for the model including a measure of overall ODD symptoms. The Classification Tree Analysis approach showed a small but distinct advantage that would be useful in screening for which children would most likely meet criteria for age 6 ODD.
我们预测哪些儿童在 6 岁进入小学时会表现出对立违抗性障碍(ODD)的能力落后于我们对 ODD 风险因素的理解。本研究考察了在 4 岁儿童中评估的一组 ODD 多领域风险因素在多大程度上预测了 6 岁时的 ODD 诊断状况。参与者是一个多样化的 796 名 4 岁儿童样本(391 名男孩)。该样本中 54%为白种人,非西班牙裔;16.8%为非裔美国人,20.4%为西班牙裔;2.4%为亚洲人;4.4%为其他或混合种族。使用 4 岁时获得的总体 ODD 症状或 ODD 维度的多维风险因素的两种模型的分类准确性彼此进行了比较,与机会进行了比较,与仅基于父母报告的使用自动分类树分析的 ODD 的简约模型进行了比较。分类精度的效应强度(ESS),一种衡量分类准确性的指标,表明包括 4 岁时一般 ODD 症状的多维模型产生了较大的效果(56.29%),比简约模型的 ESS (42.9%)提高了 13.7%。包括两个 ODD 维度(行为和消极情绪)的模型的 ESS(51.23%)小于包括整体 ODD 症状测量的模型的 ESS。分类树分析方法显示出一个微小但明显的优势,这在筛查哪些儿童最有可能符合 6 岁 ODD 标准方面将非常有用。