Evidence map›Paper›PMID 38728075›Full record

Trial reportJournal of medical Internet research2024

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

Licong Zhao, Heather Agazzi, Yasong Du, Hongdao Meng, Renya Maku, Ke Li, Peter Aspinall, Cynthia Wilson Garvan, Shuanfeng Fang

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of medical Internet research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 8 pooled it
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

27 citing papers in PubMed, 8 syntheses or guidelines pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Licong ZhaoDepartment of Child Healthcare, Children's Hospital Affiliated to Zhengzhou University, Zhengzhou, China.ORCID 0009-0008-9195-7786
Heather AgazziDepartment of Pediatrics & Department of Psychiatry and Behavioral Neurosciences, College of Medicine, University of South Florida, Tampa, FL, United States.ORCID 0000-0001-5389-2311
Yasong DuDepartment of Child & Adolescent Psychiatry, Shanghai Mental Health Center, Shanghai Jiaotong University, Shanghai, China.ORCID 0000-0002-3763-4352
Hongdao MengCollege of Behavioral & Community Sciences, University of South Florida, Tampa, FL, United States.ORCID 0000-0003-4551-9562
Renya MakuCollege of Public Health, University of South Florida, Tampa, FL, United States.ORCID 0009-0001-1959-1977
Ke LiDepartment of Child Healthcare, Children's Hospital Affiliated to Zhengzhou University, Zhengzhou, China.ORCID 0000-0003-3253-6662
Peter AspinallRecovery Plus, Chengdu, China.ORCID 0009-0008-9365-4201
Cynthia Wilson GarvanDepartment of Anesthesiology, College of Medicine, University of Florida, Tampa, FL, United States.ORCID 0000-0001-9288-9385
Shuanfeng FangDepartment of Child Healthcare, Children's Hospital Affiliated to Zhengzhou University, Zhengzhou, China.ORCID 0000-0002-1511-652X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAttention-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.

objectiveThe 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.

methodsThis 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.

resultsAmong 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.

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

Indexed as

Attention Deficit Disorder with HyperactivityChildCognitive Behavioral TherapyExecutive FunctionExercise TherapyFemaleHumansMaleProspective StudiesTreatment OutcomeADHDARattention deficitattention-deficit/hyperactivity disorderaugmented realitycognitive trainingdigital interventionexecutive functionexercise therapygamificationrandomized controlled trialRCTschool-age children

Identifiers

PMID38728075
PMCPMC11127175

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.