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Prediction of ADHD in Children Using Pedobarographic and Postural Data

NCT07180758 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 100

Last updated 2025-09-18

No results posted yet for this study

Summary

The aim of this study is to investigate the potential of postural control and plantar pressure data in predicting Attention Deficit Hyperactivity Disorder (ADHD) in middle school students using machine learning methods. A total of 100 students will participate, including those identified with symptoms of ADHD and healthy controls. Participants will undergo non-invasive biomechanical assessments, including pedobarographic foot pressure measurement and mobile posture analysis. Behavioral data will be collected using DSM-IV-based rating scales developed by Atilla Turgay, completed separately by parents, teachers, and caregivers. All data will be used to develop predictive models using algorithms such as random forest, logistic regression, and support vector machines. The study is observational and cross-sectional.

Conditions

  • Attention Deficit Hyperactivity Disorder (ADHD)

Sponsors & Collaborators

  • Biruni University

    lead OTHER

Principal Investigators

  • Öykü Ak, MSc Candidate · Biruni University, Faculty of Health Sciences

Eligibility

Min Age
10 Years
Max Age
14 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2025-05-09
Primary Completion
2025-12-31
Completion
2026-03-31

Countries

  • Turkey (Türkiye)

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07180758 on ClinicalTrials.gov