Castro Susana, Pinto Ana
Faculty of Psychology and Educational Sciences, Porto University , Porto , Portugal.
Dev Neurorehabil. 2015 Jun;18(3):177-89. doi: 10.3109/17518423.2013.806963. Epub 2013 Jul 19.
(i) To study the functioning patterns of young children with disabilities compared with typically developing children, using a new ICF-CY based tool--the Matrix for Assessment of Activities and Participation; (ii) study the factors that predict these functioning patterns.
The MAAP tool was administered to three groups of children: (i) with autism, (ii) with other types of disabilities and (iii) typically developing.
Cluster analysis showed that children group according to the severity of their functioning profile and not according to the diagnostic category in which they were classified. Multiple regression analysis showed that a model comprising the environmental factors and the level of engagement in different routines of the child is a good predictor of these children's functioning patterns.
These results support a functional approach to disability instead of the traditional medical model approach, underlining the role of engagement and environment in determining functioning.
（i）使用一种基于国际功能、残疾和健康分类儿童版（ICF-CY）的新工具——活动和参与评估矩阵，研究残疾幼儿与发育正常儿童的功能模式；（ii）研究预测这些功能模式的因素。
对三组儿童进行活动和参与评估矩阵（MAAP）工具测试：（i）自闭症儿童，（ii）其他类型残疾儿童，（iii）发育正常儿童。
聚类分析表明，儿童是根据其功能状况的严重程度进行分组，而非根据其被分类的诊断类别。多元回归分析表明，一个包含环境因素和儿童在不同日常活动中的参与程度的模型，是这些儿童功能模式的良好预测指标。
这些结果支持采用功能性方法来处理残疾问题，而非传统的医学模式方法，强调了参与和环境在决定功能方面的作用。
