School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado.
Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
Autism Res. 2018 May;11(5):695-706. doi: 10.1002/aur.1935. Epub 2018 Feb 9.
This study examined the effect of demographic factors on Social Communication Questionnaire (SCQ) scores in children aged 30-68 months. Diagnoses of ASD were made after a gold standard evaluation that included the Autism Diagnostic Observation Schedule (ADOS), and the Autism Diagnostic Interview Revised (ADI-R). The relationship of demographic variables to SCQ scores was compared in two source populations: (a) children recruited from clinical and educational sources serving children who have ASD or other developmental disorders (CE) and (b) children recruited from birth certificates to represent the general population (BC). The impact of the demographic variables-child sex, child age, maternal language, maternal ethnicity, maternal education, maternal race, and household income-on total SCQ score were studied to examine their impact on the SCQ's performance. Demographic factors predicting the SCQ total score were used to generate ROCs. Factors that had a significant influence on SCQ performance were identified by examining the area under the ROCs. Optimal SCQ cut-points were generated for significant factors using the Youden's Index. Overall male sex, lower household income, lower maternal education and Black race predicted higher SCQ scores. In this sample, the most common optimum value for the SCQ cut-point across the different sociodemographic groups was 11. Autism Res 2018, 11: 695-706. © 2018 International Society for Autism Research, Wiley Periodicals, Inc.
Screeners are used to help identify children who are more likely to have ASD than their peers. Ideally screeners should be accurate for different groups of children and families. This study examined how well the Social Communication Questionnaire (SCQ) predicts ASD. We found that male sex, lower household income, lower maternal education and Black race were associated with higher SCQ scores. In this study an SCQ cut-point of 11 worked best across the different sociodemographic groups in our sample.
本研究考察了人口统计学因素对 30-68 个月儿童社会沟通问卷（SCQ）评分的影响。ASD 的诊断是在经过金标准评估后做出的，该评估包括自闭症诊断观察量表（ADOS）和自闭症诊断访谈修订版（ADI-R）。在两个来源人群中比较了人口统计学变量与 SCQ 评分的关系：（a）从为患有 ASD 或其他发育障碍的儿童提供服务的临床和教育来源招募的儿童（CE），以及（b）从出生证明招募的代表一般人群的儿童（BC）。研究了人口统计学变量（儿童性别、儿童年龄、母亲语言、母亲种族、母亲教育、母亲种族和家庭收入）对 SCQ 总分的影响，以检验其对 SCQ 表现的影响。使用 ROC 分析人口统计学因素对 SCQ 总分的预测作用。通过检查 ROC 的面积，确定对 SCQ 性能有显著影响的因素。使用约登指数为显著因素生成 SCQ 最佳截断值。总体而言，男性性别、较低的家庭收入、较低的母亲教育程度和黑人种族预测 SCQ 评分较高。在该样本中，不同社会人口统计学群体的 SCQ 截断点的最常见最佳值为 11。自闭症研究 2018, 11: 695-706。© 2018 国际自闭症研究协会，威利期刊，公司。
筛查器用于帮助识别比同龄人更有可能患有 ASD 的儿童。理想情况下，筛查器应该对不同的儿童和家庭群体准确。本研究检查了社会沟通问卷（SCQ）预测 ASD 的效果。我们发现，男性性别、较低的家庭收入、较低的母亲教育程度和黑人种族与较高的 SCQ 评分相关。在这项研究中，SCQ 截断值为 11 在我们样本的不同社会人口统计学群体中表现最佳。
