Suppr超能文献

一种用于注意力缺陷/多动障碍的数字化认知-物理干预:随机对照试验。

A Digital Cognitive-Physical Intervention for Attention-Deficit/Hyperactivity Disorder: Randomized Controlled Trial.

机构信息

Department of Child Healthcare, Children's Hospital Affiliated to Zhengzhou University, Zhengzhou, China.

Department of Pediatrics & Department of Psychiatry and Behavioral Neurosciences, College of Medicine, University of South Florida, Tampa, FL, United States.

出版信息

J Med Internet Res. 2024 May 10;26:e55569. doi: 10.2196/55569.

Abstract

BACKGROUND

Attention-deficit/hyperactivity disorder (ADHD) is one of the most common neurodevelopmental disorders among children. Pharmacotherapy has been the primary treatment for ADHD, supplemented by behavioral interventions. Digital and exercise interventions are promising nonpharmacologic approaches for enhancing the physical and psychological health of children with ADHD. However, the combined impact of digital and exercise therapies remains unclear.

OBJECTIVE

The aim of this study was to determine whether BrainFit, a novel digital intervention combining gamified cognitive and exercise training, is efficacious in reducing ADHD symptoms and executive function (EF) among school-aged children with ADHD.

METHODS

This 4-week prospective randomized controlled trial included 90 children (6-12 years old) who visited the ADHD outpatient clinic and met the diagnostic criteria for ADHD. The participants were randomized (1:1) to the BrainFit intervention (n=44) or a waitlist control (n=46) between March and August 2022. The intervention consisted of 12 30-minute sessions delivered on an iPad over 4 weeks with 3 sessions per week (Monday, Wednesday, and Friday after school) under the supervision of trained staff. The primary outcomes were parent-rated symptoms of attention and hyperactivity assessed according to the Swanson, Nolan, and Pelham questionnaire (SNAP-IV) rating scale and EF skills assessed by the Behavior Rating Inventory of Executive Function (BRIEF) scale, evaluated pre and post intervention. Intention-to-treat analysis was performed on 80 children after attrition. A nonparametric resampling-based permutation test was used for hypothesis testing of intervention effects.

RESULTS

Among the 145 children who met the inclusion criteria, 90 consented and were randomized; ultimately, 80 (88.9%) children completed the study and were included in the analysis. The participants' average age was 8.4 (SD 1.3) years, including 63 (78.8%) male participants. The most common ADHD subtype was hyperactive/impulsive (54/80, 68%) and 23 (29%) children had severe symptoms. At the endpoint of the study, the BrainFit intervention group had a significantly larger improvement in total ADHD symptoms (SNAP-IV total score) as compared to those in the control group (β=-12.203, 95% CI -17.882 to -6.523; P<.001), owing to lower scores on the subscales Inattention (β=-3.966, 95% CI -6.285 to -1.647; P<.001), Hyperactivity/Impulsivity (β=-5.735, 95% CI -8.334 to -3.137; P<.001), and Oppositional Defiant Disorder (β=-2.995, 95% CI -4.857 to -1.132; P=.002). The intervention was associated with significant reduction in the Metacognition Index (β=-6.312, 95% CI -10.973 to -1.650; P=.006) and Global Executive Composite (β=-5.952, 95% CI -10.214 to -1.690; P=.003) on the BRIEF. No severe intervention-related adverse events were reported.

CONCLUSIONS

This novel digital cognitive-physical intervention was efficacious in school-age children with ADHD. A larger multicenter effectiveness trial with longer follow-up is warranted to confirm these findings and to assess the durability of treatment effects.

TRIAL REGISTRATION

Chinese Clinical Trial Register ChiCTR2300070521; https://www.chictr.org.cn/showproj.html?proj=177806.

摘要

背景

注意力缺陷多动障碍(ADHD)是儿童中最常见的神经发育障碍之一。药物治疗一直是 ADHD 的主要治疗方法,辅以行为干预。数字和运动干预是增强 ADHD 儿童身心健康的有前途的非药物方法。然而,数字和运动疗法的联合影响仍不清楚。

目的

本研究旨在确定一种新的数字干预措施——BrainFit,它将游戏化认知和运动训练相结合,是否能有效减少学龄期 ADHD 儿童的 ADHD 症状和执行功能(EF)。

方法

这是一项为期 4 周的前瞻性随机对照试验,纳入了 90 名(6-12 岁)在 ADHD 门诊就诊且符合 ADHD 诊断标准的儿童。参与者在 2022 年 3 月至 8 月期间随机(1:1)分为 BrainFit 干预组(n=44)或候补对照组(n=46)。干预包括在 iPad 上进行 12 次 30 分钟的课程,每周 3 次(周一、周三和周五放学后),由经过培训的工作人员监督。主要结局指标是根据 Swanson、Nolan 和 Pelham 问卷(SNAP-IV)评分量表评估的父母评定的注意力和多动症状,以及行为评定量表(BRIEF)评估的执行功能(EF)技能,分别在干预前后进行评估。对 90 名失访者进行意向治疗分析。采用非参数基于重采样的置换检验对干预效果进行假设检验。

结果

在符合纳入标准的 145 名儿童中,有 90 名同意并随机分组;最终,有 80 名(88.9%)儿童完成了研究并纳入分析。参与者的平均年龄为 8.4(SD 1.3)岁,包括 63 名(78.8%)男性参与者。最常见的 ADHD 亚型是多动/冲动型(54/80,68%),23 名(29%)儿童有严重症状。在研究结束时,BrainFit 干预组的 ADHD 总症状(SNAP-IV 总分)较对照组有显著改善(β=-12.203,95%CI-17.882 至-6.523;P<.001),这主要归因于注意力不集中(β=-3.966,95%CI-6.285 至-1.647;P<.001)、多动/冲动(β=-5.735,95%CI-8.334 至-3.137;P<.001)和对立违抗性障碍(β=-2.995,95%CI-4.857 至-1.132;P=.002)亚量表的评分较低。干预与元认知指数(β=-6.312,95%CI-10.973 至-1.650;P=.006)和总体执行综合指数(β=-5.952,95%CI-10.214 至-1.690;P=.003)的显著降低相关。未报告严重的与干预相关的不良事件。

结论

这种新的数字认知-身体干预措施对 ADHD 学龄儿童有效。需要更大规模的多中心有效性试验和更长时间的随访,以确认这些发现,并评估治疗效果的持久性。

试验注册

中国临床试验注册中心 ChiCTR2300070521;https://www.chictr.org.cn/showproj.html?proj=177806.

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd85/11127175/2492a879e85c/jmir_v26i1e55569_fig1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验