CI

At a glance

ClinicalIndex Comparison Record
N/ARecruiting· 119 target
Drug / intervention
Mixed Reality-Based Functional Mobility and Performance Assessmentother
Likely dose
Not stated in record
Structured eligibility isn't available for this trial yet — see the full criteria in the Eligibility tab below.

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Search/NCT07654439
NCT07654439N/ARecruitingOn Track

Validity and Reliability of the Mixed Reality Adaptation of Performance Tests in Overweight and Obese Individuals

Selcuk University·observational·Posted Jun 17, 2026·Updated Jun 17, 2026

In Brief

An observational study evaluating Mixed Reality-Based Functional Mobility and Performance Assessment for Overweight and Obesity. Currently recruiting, targeting 119 participants across 1 site.

Detailed Summary

This study aims to evaluate the validity and reliability of mixed reality (MR)-based adaptations of functional mobility and performance tests developed using the Meta Quest 3 platform by comparing their outcomes with conventional clinical assessments. Virtual and mixed reality technologies have gained increasing attention in clinical measurement due to their potential advantages, including assessment standardization, enhanced user interaction, and automated data collection. Previous studies have demonstrated that virtual reality-based performance assessments can provide high reliability and show meaningful associations with traditional clinical measures across different populations. However, visual and vestibular stimuli, depth perception, and changes in movement strategies may cause performance in virtual environments to differ from performance in conventional settings. Therefore, the validity and reliability of each virtual or mixed reality adaptation should be established within the target population. Overweight and obese individuals exhibit biomechanical and physiological characteristics that may affect balance, gait mechanics, joint loading, and physical performance. Consequently, measurement properties established in other populations cannot be assumed to apply directly to overweight and obese individuals. In addition, factors related to head-mounted displays and motion-tracking systems may influence assessment outcomes. The purpose of this study is to evaluate the concurrent validity and test-retest reliability of mixed reality-based performance tests developed using the Meta Quest 3 platform. Measurement error parameters will also be determined to assess the clinical applicability of these MR-based assessments. The findings of this study are expected to contribute to the development of safe, standardized, digital, and potentially remote assessment approaches for evaluating functional performance in overweight and obese individuals. Furthermore, the results may strengthen the scientific evidence supporting the use of digital assessment technologies in clinical practice.

Study Details

Study Typeobservational
Allocation--
Masking--
Primary Purpose--
CountriesTurkey (Türkiye)
Collaborators--

Timeline

N/ARecruiting
2027
First PostedJun 17, 2026
Enrollment StartJun 10, 2026
Primary CompletionDec 30, 2026
Study CompletionMay 10, 2027
TodayJul 1, 2026
Enrollment to primary: 7 monthsPosted 14 days agoPrimary completion in 6 months

Arms & Interventions

Overweight and Obese Individualsother

Adults with overweight or obesity (BMI ≥25 kg/m²) who will undergo conventional and mixed reality-based assessments of functional mobility and performance, including the Timed Up and Go Test, 4-Meter Walk Test, and Five-Repetition Sit-to-Stand Test. Additional assessments of knee extensor muscle strength and handgrip strength will be performed to evaluate convergent validity.

Other: Mixed Reality-Based Functional Mobility and Performance Assessment

Interventions

Mixed Reality-Based Functional Mobility and Performance Assessmentother

Participants will perform mixed reality-based adaptations of the Timed Up and Go Test (TUG-MR), 4-Meter Walk Test (4MW-MR), and Five-Repetition Sit-to-Stand Test (5xSTS-MR) developed for the Meta Quest 3 platform. The mixed reality environment digitally replicates the conventional test setups and provides standardized visual guidance while allowing participants to interact safely with the real environment. Test outcomes will be automatically recorded by the system and compared with conventional clinical assessments to evaluate validity. The mixed reality-based tests will be repeated one week later to assess test-retest reliability.