一个数字认知物理干预注意力缺陷/多动障碍:随机对照试验.
Licong Zhao1, Heather Agazzi2, Yasong Du3
1Department of Child Healthcare, Children's Hospital Affiliated to Zhengzhou University, Zhengzhou, China.
一种结合认知和运动训练的新型数字干预措施有效地减少了多动症的症状,并改善了学龄儿童的执行功能. 这种方法显示出作为注意力缺陷/多动障碍的非药物治疗选择的希望.
科学领域:
- 神经科学是一个神经科学.
- 儿科 儿科 儿科
- 数字健康数字健康
背景情况:
- 注意缺陷/多动障碍 (ADHD) 是一个常见的儿童神经发育障碍.
- 虽然药物治疗是标准的,但数字和运动疗法等非药物干预正在出现.
- 对于ADHD的数字和运动干预措施的联合有效性需要进一步研究.
研究的目的:
- 为了评估BrainFit的有效性,BrainFit是一个集成游戏化的认知和运动训练的数字干预.
- 为了确定BrainFit是否可以减少ADHD症状并改善学龄儿童的执行功能 (EF).
主要方法:
- 一项为期4周的随机对照试验,涉及90名被诊断患有ADHD的儿童 (6-12岁).
- 参与者被分配到BrainFit干预 (n=44) 或等候名单对照 (n=46) 中.
- 主要结局包括父母评估的ADHD症状 (SNAP-IV) 和EF (BRIEF),评估干预前后.
主要成果:
- 与对照组 (P<.001) 相比,BrainFit组在总ADHD症状中显示出明显更大的改善.
- 观察到注意力不集中,过度活跃/冲动以及反对性挑性障碍症状的显著减少.
- 该干预还导致了对元认知和全球执行功能的显著改善.
结论:
- BrainFit数字认知物理干预在患有多动症的学龄儿童中显示出有效性.
- 建议进行更多的多中心试验,随访时间更长,以确认研究结果并评估治疗的持续时间.
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