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

Официальное название

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

Обзор

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.

Вмешательства

• Другое Mixed 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

Первичные конечные точки

• Timed Up and Go Test - Mixed Reality (TUG-MR) [Срок оценки: Baseline and 1-week follow-up]
• 4-Meter Walk Test - Mixed Reality (4MW-MR) [Срок оценки: Baseline and 1-week follow-up]
• Five-Repetition Sit-to-Stand Test - Mixed Reality (5xSTS-MR) [Срок оценки: Baseline and 1-week follow-up]

Вторичные конечные точки (6)

• Timed Up and Go Test - Conventional [Срок оценки: Baseline]
• 4-Meter Walk Test - Conventional [Срок оценки: Baseline]
• Five-Repetition Sit-to-Stand Test - Conventional [Срок оценки: Baseline]
• Knee Extensor Muscle Strength [Срок оценки: Baseline]
• Handgrip Strength [Срок оценки: Baseline]
• Participant Satisfaction [Срок оценки: Baseline]

Критерии участия

Критерии включения

• 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.

Критерии исключения

• 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.

Критерии приведены из реестра в оригинале (на английском). Окончательную оценку соответствия проводит исследовательский центр.

Здоровые добровольцы: Нет

Дизайн исследования

Модель наблюдения

Другое

Центры проведения

Turkey (Türkiye) · 1 центр

• Selcuk University, Faculty of Health Sciences, Department of Physiotherapy and Rehabilitat — Konya

Публикации

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• Greco F, Tarsitano MG, Cosco LF, Quinzi F, Folino K, Spadafora M, Afzal M, Segura-Garcia C, Maurotti S, Pujia R, Pujia A, Buono P, Emerenziani GP. The Effects of Online Home-Based Pilates Combined with Diet on Body Composition in Women Affected by Obesity: A Preliminary Study. Nutrients. 2024 Mar 21;16(6):902. doi: 10.3390/nu16060902. PMID 38542813
• Chen Y, Guan B, Zhang Y, Lee SC, Liu JY, Li S, Liu M, Zhang X, Ming WK. Acceptability of and Willingness to Use Virtual Reality Exergames for Weight Loss Among Young Adults With Overweight or Obesity in China: Qualitative Study. JMIR Serious Games. 2025 May 1;13:e66998. doi: 10.2196/66998. PMID 40311124

Идентификаторы

NCT: NCT07654439 · SelcukU_PT_OBESITY_MR_ADAP1

Первоисточники (государственные реестры)

• ClinicalTrials.gov (NIH, США)

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