RecruitingNCT07654439

Validity and Reliability of Mixed Reality-Based Performance Tests in Overweight and Obese Adults

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

Sponsor

Selcuk University

Enrollment

119 participants

Start Date

Jun 10, 2026

Study Type

OBSERVATIONAL

Conditions

Overweight and Obesity

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.

Eligibility

Min Age: 18 YearsMax Age: 65 Years

Inclusion Criteria4

Body Mass Index (BMI) ≥ 25 kg/m² (overweight or obesity),
Ability to ambulate independently,
Aged between 18 and 65 years,
Willingness to participate voluntarily in the study and provide written informed consent.

Exclusion Criteria10

Use of anti-obesity medication,
Pregnancy,
Latent autoimmune diabetes in adults (LADA),
Chronic kidney disease,
Active or severe infections,
Liver failure,
Recent major cardiovascular events,
Unstable angina,
Heart failure classified as New York Heart Association (NYHA) Class III-IV,
Respiratory failure, cardiac arrhythmias, neoplastic diseases, or neurological or musculoskeletal disorders that may limit the safe performance of the tests.

Interested in this trial?

Get notified about updates and connect with the research team.

Interventions

OTHERMixed Reality-Based Functional Mobility and Performance Assessment

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.