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Effects of Brain Breaks on Educational Achievement in Laboratory Settings: The Break4Brain Project

Effects of Brain Breaks on Educational Achievement in Children With and Without ADHD: The Break4Brain Project

Status
Active, not recruiting
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT06303674
Enrollment
60
Registered
2024-03-12
Start date
2023-02-27
Completion date
2025-09-30
Last updated
2024-03-12

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

ADHD

Keywords

brain breaks, exercise, brain function, executive function, academic performance

Brief summary

Advancement in teaching methods, together with the frenetic change in the lifestyles of the school population, provides a unique opportunity to advance scientific knowledge. The current project, called The Break4Brain Project, aims to examine the acute (transient) effects of physical activity on brain function, cognition, and academic performance in children with and without Attention Deficit Hyperactivity Disorder (ADHD). Specifically, a total of 60 children between 10 and 12 years old will be included with (n=30) and without (n=30) ADHD. The study will use an intra-subject design of isolated conditions with four measurement moments where the children will perform three different experimental conditions lasting 10 minutes, which will be randomized in a counterbalanced manner. These experimental conditions will be based on physical activity engaging cognitively, physical activity without engaging cognitively, and cognitively engaging control condition. This project could have a significant impact in the educational field, since, if brain function, cognition, and academic performance prove to be favorably stimulated, acutely, by physical activity through active breaks, these could be prescribed as an effective teaching strategy for children with and without ADHD in the school setting.

Interventions

BEHAVIORALPhysical activity with engaging cognitively

This experimental condition will follow the following structure: involving 10 consecutive, 30 second-blocks of physical activity. This experimental condition will focus on aerobic metabolism. The total exercise time commitment is 10 minutes (30 seconds of working - 30 seconds of executing an engaging cognitive task, 1:1 work-to-rest ratio), plus 5 minutes of warm-ups and 5 minutes of cool-down activities. The cognitive task consists of solving various tangrams.

BEHAVIORALPhysical activity without engaging cognitively

This experimental condition will replicate the structure of the preceding one. Participants will engage in physical activity, guided by video observation and imitation. However, during the rest periods, they will refrain from engaging in cognitive tasks

Sponsors

Ministry of Science and Innovation, Spain
CollaboratorOTHER_GOV
European Regional Development Fund
CollaboratorOTHER
State Research Agency, Spain
CollaboratorOTHER_GOV
University of the Balearic Islands
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
CROSSOVER
Primary purpose
TREATMENT
Masking
DOUBLE (Subject, Outcomes Assessor)

Intervention model description

The design of the study is a within-participants crossover pretest-posttest comparison design under laboratory settings will be used. In this design, all participants will engage in all experimental conditions (on separate days), with the order of the experimental conditions being counterbalanced across participants and outcomes assessed following each experimental condition.

Eligibility

Sex/Gender
ALL
Age
10 Years to 12 Years
Healthy volunteers
Yes

Inclusion criteria

* Children aged 10-12 years diagnosed with ADHD by a recognized diagnostic procedure. * Children aged 10-12 years without any neurodevelopmental impairment.

Exclusion criteria

* Children who have serious physical or mental disorders.

Design outcomes

Primary

MeasureTime frameDescription
Academic achievement4 times (during 4 weeks)In this research, only the general academic fluency index was administered, consisting of the reading, mathematics, and writing fluency subtests. Reading fluency assessed the participant's capacity to read simple sentences rapidly, mathematical fluency gauged the ability to quickly solve simple addition, subtraction, and multiplication problems, and writing fluency measured the skill to formulate and write sentences promptly.
Inhibition4 times (during 4 weeks)Flanker Test: Assessed inhibitory control of irrelevant stimuli. Congruent stimuli facilitated processing, while incongruent ones hindered it.
Working memory4 times (during 4 weeks)n-back Test: Evaluated working memory's information updating. Participants matched stimuli to the one 'n' items ago, with increasing difficulty.
Sustained attention4 times (during 4 weeks)Conners CPT-3 Attention Test: Examined sustained attention with 360 trials, 18 blocks, and varying intervals. 90% featured non-X target stimuli. Assessment included scaled scores for attentional capacity (d'), error categorization, and reaction metrics.
Brain function4 times (during 4 weeks)Event-related brain potentials (ERPs), acquired from the electroencephalogram, served as a metric for brain response to discrete events. Neuroelectric activity was captured from 14 scalp electrode sites, arranged using the EMOTIV EPOC X and its corresponding software. Selected components of event-related brain potentials were assessed, with a focus on analyzing the amplitude and latency of P3 (also referred to as P300). A higher P3 amplitude was considered indicative of an enhanced ability to enlist attentional resources, while a lower P3 latency was considered indicative of heightened cognitive processing speed. In study I, ERPs were concurrently recorded during cognitive function (not CPT-3).

Secondary

MeasureTime frameDescription
ADHD symptomsbaselineWas evaluated utilizing the Conners Scales 3-Parent Version.
IQbaselineWas assessed using the Kaufmann Brief Intelligence Test (K-BIT).
Physical fitness and body compositionbaselineWere measured using the ALPHA Physical Fitness Test Battery.
Educational levelsbaselineThe parents' educational level was determined using a custom questionnaire.
Socioeconomic levelsbaselineThe parents' socioeconomic status was determined using the Family Affluence Scale-II.
Physical activity levels and sleepbaselineWere assessed using Actigraph wGT3X-BT accelerometers, which participants carried throughout their four-week involvement in the project. Additionally, sedentary lifestyle levels were gauged using the Youth Activity Profile (YAP).
Self-reported sedentary patternsbaselineSedentary lifestyle levels were also gauged using the Youth Activity Profile (YAP).
Motor proficiencybaselineWas assessed using the Bruininks-Oseretsky Test of Motor Proficiency.
Biological maturationbaselineWas measured using maximum height velocity (PHV), an indicator reflecting the peak velocity of height growth during childhood. Weight, height, and sitting height were utilized to calculate VPM based on Moore's equations.

Countries

Spain

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026