Walking clues to ADHD? new study uses footprints to spot disorder
NCT ID NCT07180758
First seen Jun 26, 2026 · Last updated Jun 26, 2026
Summary
This study looks at whether how a child stands and walks can help predict ADHD. Researchers will measure foot pressure and posture in 100 middle school students, half with ADHD symptoms and half without. They will use machine learning to see if these physical measurements can accurately identify ADHD. The goal is to find a simple, non-invasive way to screen for the condition.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
- What this could lead to
- If successful, this could lead to a simple, non-invasive screening tool to help identify ADHD earlier in children.
- What could go wrong
- This is a small, early observational study. The machine learning model may not be accurate enough for real-world use, and results may not apply to all children.
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Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
Locations
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Biruni University, Faculty of Health Sciences
RECRUITINGIstanbul, Turkey (Türkiye)
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