West Virginia University.
Oregon State University.
Adapt Phys Activ Q. 2021 Jan 13;38(2):248-267. doi: 10.1123/apaq.2020-0027. Print 2021 Apr 1.
A secondary data analysis of 33,093 children and adolescents age 6-17 years (12% with disabilities) from a 2016-2017 National Survey of Children's Health nonrepresentative sample aimed to identify (a) unique clusters of sociodemographic characteristics and (b) the relative importance of disability status in predicting participation in daily physical activity (PA) and sports. Exploratory classification tree analyses identified hierarchical predictors of daily PA and sport participation separately. Disability status was not a primary predictor of daily PA. Instead, it emerged in the fifth level after age, sex, body mass index, and income, highlighting the dynamic intersection of disability with sociodemographic factors influencing PA levels. In comparison, disability status was a second-level predictor for sport participation, suggesting that unique factors influencing PA level are likely experienced by disabled children and adolescents. The authors employ an intersectionality lens to critically discuss implications for research in adapted PA.
对 2016-2017 年全国儿童健康调查中非代表性样本中的 33093 名 6-17 岁儿童和青少年(12%有残疾)进行二次数据分析,旨在确定:(a) 独特的社会人口特征聚类,以及 (b) 残疾状况在预测日常体力活动 (PA) 和运动参与中的相对重要性。探索性分类树分析分别确定了日常 PA 和运动参与的分层预测因素。残疾状况不是日常 PA 的主要预测因素。相反,它出现在年龄、性别、体重指数和收入之后的第五层,突出了残疾与影响 PA 水平的社会人口因素之间的动态交叉。相比之下,残疾状况是运动参与的第二级预测因素,这表明影响 PA 水平的独特因素可能会被残疾儿童和青少年所经历。作者采用交叉性视角,批判性地讨论了对适应性 PA 研究的影响。