1 University of North Carolina at Chapel Hill, USA.
2 University of Wisconsin-Madison, USA.
Autism. 2019 Aug;23(6):1472-1484. doi: 10.1177/1362361318815645. Epub 2018 Dec 7.
This study examined growth trajectories of teacher-reported adaptive behavior in a diverse sample of adolescents with autism spectrum disorder. The participants were 244 adolescents between the ages of 14 and 21 years who were assessed at up to four time points across two and a half years of high school. Demographic variables (age, sex, race, maternal education), phenotypic characteristics (intelligence quotient, autism severity) and school factors (location of the school, school quality) were collected. Growth mixture modeling was used to identify distinct classes of growth trajectories in communication, daily living skills, and socialization domains of adaptive behavior. Two distinct classes were identified for each domain. The first class had moderately low adaptive behavior scores and demonstrated growth of adaptive behavior over time and the second class had low adaptive behavior scores and did not demonstrate change over time. Adolescents within the moderately low adaptive behavior classes were younger at enrollment in the study, had higher IQs, and lower autism symptom severity. Logistic regressions were performed, and aspects of school quality predicted the likelihood of being in the moderately low classes above and beyond autism symptoms.
本研究考察了自闭症谱系障碍青少年的教师报告适应性行为的增长轨迹,该研究样本具有多样性。参与者为 244 名年龄在 14 至 21 岁之间的青少年,他们在高中两年半的时间里接受了多达四次评估。收集了人口统计学变量(年龄、性别、种族、母亲教育水平)、表型特征(智商、自闭症严重程度)和学校因素(学校位置、学校质量)。采用增长混合模型来识别适应性行为的沟通、日常生活技能和社交领域的不同增长轨迹类别。每个领域都确定了两个不同的类别。第一个类别具有中等偏低的适应性行为得分,并随着时间的推移表现出适应性行为的增长,而第二个类别具有较低的适应性行为得分,且没有随时间变化。在中等偏低适应性行为类别中的青少年在研究入组时年龄较小,智商较高,自闭症症状严重程度较低。进行了逻辑回归分析,学校质量的各个方面在预测自闭症症状之外,也预测了属于中等偏低类别的可能性。