| 曹文月,周正荣,吕倩倩,王晨光,江钟立,林 枫.孤独症谱系障碍儿童《国际功能、残疾和健康分类》功能变量关系图模型探析[J].中国康复医学杂志,2021,(3):276~282 |
| 孤独症谱系障碍儿童《国际功能、残疾和健康分类》功能变量关系图模型探析 点此下载全文 |
| 曹文月 周正荣 吕倩倩 王晨光 江钟立 林 枫 |
南京医科大学第一附属医院(江苏省人民医院)
，南京，210029 |
| 基金项目：南京医科大学附属逸夫医院院内临床重点科室建设专项（YFZDXK02-7） |
| DOI：10.3969/j.issn.1001-1242.2021.03.004 |
| 摘要点击次数: 1052 |
| 全文下载次数: 811 |
| 摘要： |
| 摘要
目的：在世界卫生组织（WHO）发布的孤独症谱系障碍（ASD）核心组合基础上，建立反映功能变量关系图模型，探索ASD治疗的ICF靶条目。
方法：ASD便利样本77例，0—5岁和6—16岁患儿共有ICF组合条目67条。根据条目的频数计算障碍率。通过图建模建立条目间风险相关关系网络，继而进行主岛屿提取、k-核解析和网络参数（点度、介数、接近度和拉普拉斯度）计算。分析障碍率与网络参数之间的相关关系，并对k-核结构进行可视化分析。
结果：障碍率在10%—90%的34个ICF条目借助风险相关关系处于主岛屿结构中。条目的障碍率与各个网络参数之间无明显相关关系。从核心网络中提取的关键条目具有中等程度的障碍率（0.4—0.8），以其作为可干预的ICF靶条目符合已有的ASD治疗认识。
结论：基于频数分析的ICF条目障碍率和基于图建模的网络参数之间无明显相关关系，在核心组合基础上建立功能图谱，并从中提取核心网络和关键条目，有可能为发掘可干预ICF靶条目提供新思路。 |
| 关键词：孤独症谱系障碍 国际功能、残疾和健康分类 图建模 网络分析 |
| Graph modeling of relational structures among functioning variables in Children with autism spectrum disorder： An exploratory analysis based on International Classification of Functioning， Disability and Health Download Fulltext |
|
| The First Affiliated Hospital of Nanjing Medical University，Jiangsu，Nanjing，210029 |
| Fund Project: |
| Abstract: |
| Abstract
Objective： To establish a graphical model that can reflect functioning variables， and to explore the ICF target items for Autism Spectrum Disorder (ASD) treatment based on the Core Sets of ASD published by the World Health Organization (WHO).
Method： A convenient sample of 77 individuals with ASD participated in this study. The investigation included a set of 67 ICF categories for ASD patients aged 0—5 years and 6—16 years. The dysfunction ratio was calculated based on the frequency of the items. The study established a risk relationship network between items through a graphical model， and then performed main island decomposition， k-core extraction， and calculated network parameters including degree， betweenness， closeness， and Laplace. The correlation between dysfunction ratio and network parameters was analyzed， and the k-core structure was visualized.
Result： 34 ICF items with the dysfunction ratio between 10% and 90% were included in the main island structure in virtue of the risk correlation relationship. There was no significant correlation between the dysfunction ratio of the items and network parameters. The key items extracted from the core network had a moderate dysfunction ratio (0.4—0.8). Taking it as potentially improvable target items is in line with the existing understanding of ASD treatment.
Conclusion： There was no significant correlation between the ICF dysfunction ratio based on frequency analysis and the network parameters based on graph modeling. Establishing a functional map based on the Core Sets， and extracting the core network and key items from it， may provide new ideas for discovering ICF target items. |
| Keywords:autism spectrum disorder International Classification of Functioning, Disability and Health graph modeling network analysis |
|
| 查看全文 查看/发表评论 |
