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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

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT07654439
Enrollment
119
Registered
2026-06-17
Start date
2026-06-10
Completion date
2027-05-10
Last updated
2026-06-17

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

Conditions

Overweight and Obesity

Keywords

Overweight, Obesity, Mixed Reality, 6-Minute Walk Test, Timed Up and Go Test, Five-Repetition Sit-to-Stand Test, Functional Performance, Validity, Reliability

Brief 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.

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.

Sponsors

Selcuk University
Lead SponsorOTHER

Study design

Observational model
OTHER
Time perspective
CROSS_SECTIONAL

Eligibility

Sex/Gender
ALL
Age
18 Years to 65 Years
Healthy volunteers
No

Inclusion criteria

* 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 criteria

* 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.

Design outcomes

Primary

MeasureTime frameDescription
Timed Up and Go Test - Mixed Reality (TUG-MR)Baseline and 1-week follow-upFunctional mobility will be assessed using a mixed reality-based adaptation of the Timed Up and Go Test. Test completion time will be recorded in seconds, with shorter times indicating better functional mobility. Validity will be evaluated by comparison with the conventional Timed Up and Go Test, and reliability will be assessed using repeated measurements performed one week apart.
4-Meter Walk Test - Mixed Reality (4MW-MR)Baseline and 1-week follow-upWalking performance will be assessed using a mixed reality-based adaptation of the 4-Meter Walk Test. Walking speed will be calculated in meters per second (m/s), with higher values indicating better walking performance. Validity and reliability will be evaluated through comparison with the conventional 4-Meter Walk Test and repeated measurements.
Five-Repetition Sit-to-Stand Test - Mixed Reality (5xSTS-MR)Baseline and 1-week follow-upLower extremity functional performance will be assessed using a mixed reality-based adaptation of the Five-Repetition Sit-to-Stand Test. Test duration will be recorded in seconds, with shorter times indicating better performance. Validity and reliability will be evaluated through comparison with the conventional Five-Repetition Sit-to-Stand Test and repeated measurements.

Secondary

MeasureTime frameDescription
Timed Up and Go Test - ConventionalBaselineThe conventional Timed Up and Go Test will be administered to assess functional mobility and will serve as a reference measure for validity analyses. Test completion time will be recorded in seconds, with shorter times indicating better functional mobility.
4-Meter Walk Test - ConventionalBaselineWalking speed will be assessed using the conventional 4-Meter Walk Test and will serve as a reference measure for validity analyses. Walking speed will be reported in meters per second (m/s), with higher values indicating better walking performance.
Five-Repetition Sit-to-Stand Test - ConventionalBaselineThe conventional Five-Repetition Sit-to-Stand Test will be used as a reference measure for validity analyses. Test completion time will be recorded in seconds, with shorter times indicating better lower extremity functional performance.
Knee Extensor Muscle StrengthBaselineKnee extensor muscle strength will be measured using a handheld digital dynamometer. Maximum voluntary contraction values will be recorded, with higher values indicating greater muscle strength. Outcomes will be analyzed for convergent validity with mixed reality-based test results.
Handgrip StrengthBaselineHandgrip strength will be assessed using a hand dynamometer. The highest value obtained from repeated trials will be recorded, with higher values indicating greater muscle strength. Outcomes will be analyzed for convergent validity with mixed reality-based test results.
Participant SatisfactionBaselineParticipant satisfaction with conventional and mixed reality-based assessments will be evaluated using a 10-point visual analog scale ranging from 1 to 10, with higher scores indicating greater satisfaction.

Countries

Turkey (Türkiye)

Contacts

CONTACTMehmet K ALTUNOK, PHD(c) in PT
mehmetkaan.altunok@selcuk.edu.tr5558175133
STUDY_CHAIRİsmail ÖZSOY, Assoc. Prof. Dr.

Selcuk University, Faculty of Health Sciences, Department of Physiotherapy and Rehabilitation, Konya, Türkiye

STUDY_CHAIRZehra KORKUT, Assist. Prof. Dr.

Selcuk University, Faculty of Health Sciences, Department of Physiotherapy and Rehabilitation, Konya, Türkiye

STUDY_CHAIRGülşah ÖZSOY, Assist. Prof. Dr.

Selcuk University, Faculty of Health Sciences, Department of Physiotherapy and Rehabilitation, Konya, Türkiye

STUDY_CHAIRMehmet A GÜLER, PhD in PT

Selcuk University, Faculty of Health Sciences, Department of Physiotherapy and Rehabilitation, Konya, Türkiye

STUDY_CHAIRYasemin GEDİKLİ ERTÜRK, PhD (c) in PT

Selcuk University, Faculty of Health Sciences, Department of Physiotherapy and Rehabilitation, Konya, Türkiye

STUDY_CHAIRİhsan KODAK, Assist. Prof. Dr.

Kırşehir Ahi Evran University, School of Physical Therapy and Rehabilitation, Kırşehir, Türkiye

STUDY_CHAIRSelma Ö ÇELİKDELEN, Assist. Prof. Dr.

Konya City Hospital

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Jun 18, 2026