School of Nursing, Psychotherapy, and Community Health, Dublin City University, Dublin, Ireland.
College of Health Sciences, University of Delaware, Newark, DE, USA.
Disabil Health J. 2022 Oct;15(4):101367. doi: 10.1016/j.dhjo.2022.101367. Epub 2022 Aug 11.
Autistic adults have poorer 24-h movement behaviors, including lower levels of physical activity, more time spent being sedentary, and shorter sleep duration than neurotypical adults. Social ecological frameworks posit that 24-h movement behaviors are determined by multi-level domains; however, not known is which multi-level factors are most important to meeting each of the 24-h movement behavior guidelines among autistic adults.
This study examined the relative importance of a range of multi-level determinants on meeting guidelines for the 24-h movement behaviors of aerobic physical activity, sedentary behavior, and sleep.
We administered at cross-sectional electronic survey to a national self-selecting, convenience sample of autistic adults and caregivers of autistic adults residing in the USA. We used machine learning to examine the relative variable importance (VIMP) of 55 multi-level variables with meeting recommendations for physical activity, sedentary behavior, and sleep duration. VIMPs >0 indicate predictive variables/domains.
A greater number of group activities attended in the last 3-months, and greater independence in completing activities of daily living were most important to meeting aerobic physical activity guidelines. Group activity participation and marital status were important to meeting sedentary behavior guidelines while having a fewer number of comorbidities was most important to achieving adequate sleep.
These data support hypotheses about the role of family and social level interventions targeting movement behaviors in autistic adults.
自闭症成年人的 24 小时运动行为较差,包括体力活动水平较低、久坐时间更多、睡眠时间更短,而神经典型成年人则不然。社会生态框架认为,24 小时运动行为由多层次因素决定;然而,尚不清楚哪些多层次因素对满足自闭症成年人的 24 小时运动行为指南中的每一项最为重要。
本研究旨在考察一系列多层次决定因素对满足有氧运动、久坐行为和睡眠 24 小时运动行为指南的相对重要性。
我们通过横断面电子调查,对美国居住的自闭症成年人及其照顾者进行了全国性的自我选择、便利抽样调查。我们使用机器学习来检查 55 个多层次变量的相对变量重要性 (VIMP),以评估其与满足身体活动、久坐行为和睡眠时间建议的相关性。VIMP>0 表示预测变量/域。
过去 3 个月内参加的小组活动越多,日常生活活动完成的独立性越高,这对满足有氧运动指南最为重要。小组活动参与和婚姻状况对满足久坐行为指南很重要,而患有较少的合并症则对获得足够的睡眠最为重要。
这些数据支持了关于家庭和社会层面干预对自闭症成年人运动行为作用的假设。