Johnstone Stuart J, Parrish Laura, Jiang Han, Zhang Da-Wei, Williams Virginia, Li Sun
School of Psychology, Brain & Behaviour Research Institute, University of Wollongong, Australia.
School of Psychology, Brain & Behaviour Research Institute, University of Wollongong, Australia.
Biol Psychol. 2021 Apr;161:108080. doi: 10.1016/j.biopsycho.2021.108080. Epub 2021 Mar 17.
We developed a neurocognitive assessment tool (NCAT) in consultation with mental health professionals working with children with AD/HD as a diagnostic aid and screening tool. This study examines the predictive utility of NCAT in the classification of children with AD/HD Inattentive presentation.
Fifty three children with AD/HD Inattentive presentation and 161 typically-developing children completed an NCAT assessment. Discriminant function analyses examined group membership prediction for separate components of NCAT and for the components combined.
The combined model correctly classified 93.4 % of participants, with 91.4 % sensitivity and 93.9 % specificity. Contributions to classification were from SNAP-IV, psychological needs satisfaction, self-regulation, executive function performance, and EEG. The combined model resulted in a 9.3 % increase in specificity and 5.9 % increase in sensitivity compared to SNAP-IV alone.
NCAT provides good discrimination between children with and without AD/HD of the Inattentive presentation, and further investigation including other subtypes and comorbidities is warranted.
我们与从事注意力缺陷多动障碍（AD/HD）儿童工作的心理健康专业人员协商开发了一种神经认知评估工具（NCAT），作为一种诊断辅助和筛查工具。本研究考察了NCAT在注意力不集中型AD/HD儿童分类中的预测效用。
53名注意力不集中型AD/HD儿童和161名发育正常的儿童完成了NCAT评估。判别函数分析考察了NCAT各单独成分及组合成分对组成员身份的预测。
组合模型正确分类了93.4%的参与者，敏感性为91.4%，特异性为93.9%。对分类有贡献的因素包括《注意力缺陷多动障碍评定量表第四版》（SNAP-IV）、心理需求满足、自我调节、执行功能表现和脑电图。与单独使用SNAP-IV相比，组合模型的特异性提高了9.3%，敏感性提高了5.9%。
NCAT能够很好地区分注意力不集中型AD/HD儿童和非AD/HD儿童，有必要进行进一步研究，包括其他亚型和共病情况。
