自闭症儿童的睡眠障碍和其他并发症:一种网络方法来理解它们的相互关系
Amanda L Richdale1, Amy M Shui2,3, Linnea A Lampinen4
1Olga Tennison Autism Research Centre, La Trobe University, Melbourne, Victoria, Australia.
概括
自闭症儿童往往有共同出现的条件. 网络分析显示,睡眠障碍和攻击性行为是关键的跨诊断特征,这表明自闭症儿童的干预和监测目标.
科学领域:
- 神经发育障碍 神经发育障碍
- 儿童心理学 儿童心理学
- 生物统计学 生物统计学
背景情况:
- 自闭症经常伴随着同时出现的心理,行为和医疗状况.
- 了解这些条件的相互作用对于开发有效的干预措施至关重要.
研究的目的:
- 检查儿童行为,睡眠,适应性行为,自闭症特征,心理健康状况和自闭症儿童的整体健康之间的关系.
- 通过网络分析识别跨诊断特征和潜在的干预目标.
主要方法:
- 网络分析,特别是最小绝对收缩和选择操作员 (LASSO) 调整的部分相关性,应用于两个自闭症儿童队列 (2-5岁和6-17岁).
- 斯宾格拉斯算法确定了社区,而两步预期影响 (EI2) 方法确定了变量的重要性.
主要成果:
- 睡眠困难和攻击性行为对年幼的孩子有很大的影响;攻击性行为,社会问题和焦虑/抑郁行为对年长的孩子有很大的影响.
- 睡眠障碍成为两年龄组中突出的跨诊断特征.
- 攻击性行为被确定为一个重要的网络指标,可能表明需要临床监测.
结论:
- 睡眠障碍是自闭症儿童的跨诊断特征,突出了它们对于干预和监测的重要性.
- 侵略性行为和其他具有高度影响力的网络项目可能成为自闭症儿童的重要查标志或干预目标.
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