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

2026년 6월 12일 업데이트: Mehmet Kaan ALTUNOK, Selcuk University

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

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.

연구 개요

연구 유형

관찰

등록 (추정된)

119

연락처 및 위치

이 섹션에서는 연구를 수행하는 사람들의 연락처 정보와 이 연구가 수행되는 장소에 대한 정보를 제공합니다.

연구 연락처

연구 장소

    • Selcuklu
      • Konya, Selcuklu, 터키 (Türkiye), 42130
        • 모병
        • Selcuk University, Faculty of Health Sciences, Department of Physiotherapy and Rehabilitation
        • 연락하다:

참여기준

연구원은 적격성 기준이라는 특정 설명에 맞는 사람을 찾습니다. 이러한 기준의 몇 가지 예는 개인의 일반적인 건강 상태 또는 이전 치료입니다.

자격 기준

공부할 수 있는 나이

  • 성인
  • 고령자

건강한 자원 봉사자를 받아들입니다

아니

샘플링 방법

비확률 샘플

연구 인구

Adults aged 18-65 years with overweight or obesity (BMI ≥25 kg/m²) who are able to ambulate independently and are eligible to participate in conventional and mixed reality-based functional mobility and performance assessments.

설명

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.

공부 계획

이 섹션에서는 연구 설계 방법과 연구가 측정하는 내용을 포함하여 연구 계획에 대한 세부 정보를 제공합니다.

연구는 어떻게 설계됩니까?

디자인 세부사항

코호트 및 개입

그룹/코호트
개입 / 치료
Overweight and Obese Individuals
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.
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.

연구는 무엇을 측정합니까?

주요 결과 측정

결과 측정
측정값 설명
기간
Five-Repetition Sit-to-Stand Test - Mixed Reality (5xSTS-MR)
기간: Baseline and 1-week follow-up
Lower 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.
Baseline and 1-week follow-up
Timed Up and Go Test - Mixed Reality (TUG-MR)
기간: Baseline and 1-week follow-up
Functional 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.
Baseline and 1-week follow-up
4-Meter Walk Test - Mixed Reality (4MW-MR)
기간: Baseline and 1-week follow-up
Walking 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.
Baseline and 1-week follow-up

2차 결과 측정

결과 측정
측정값 설명
기간
Participant Satisfaction
기간: Baseline
Participant 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.
Baseline
Timed Up and Go Test - Conventional
기간: Baseline
The 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.
Baseline
Five-Repetition Sit-to-Stand Test - Conventional
기간: Baseline
The 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.
Baseline
Knee Extensor Muscle Strength
기간: Baseline
Knee 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.
Baseline
Handgrip Strength
기간: Baseline
Handgrip 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.
Baseline
4-Meter Walk Test - Conventional
기간: Baseline
Walking 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.
Baseline

공동 작업자 및 조사자

여기에서 이 연구와 관련된 사람과 조직을 찾을 수 있습니다.

스폰서

수사관

  • 연구 의자: Gülşah ÖZSOY, Assist. Prof. Dr., Selcuk University, Faculty of Health Sciences, Department of Physiotherapy and Rehabilitation, Konya, Türkiye
  • 연구 의자: Zehra KORKUT, Assist. Prof. Dr., Selcuk University, Faculty of Health Sciences, Department of Physiotherapy and Rehabilitation, Konya, Türkiye
  • 연구 의자: İsmail ÖZSOY, Assoc. Prof. Dr., Selcuk University, Faculty of Health Sciences, Department of Physiotherapy and Rehabilitation, Konya, Türkiye
  • 연구 의자: İhsan KODAK, Assist. Prof. Dr., Kırşehir Ahi Evran University, School of Physical Therapy and Rehabilitation, Kırşehir, Türkiye
  • 연구 의자: Yasemin GEDİKLİ ERTÜRK, PhD (c) in PT, Selcuk University, Faculty of Health Sciences, Department of Physiotherapy and Rehabilitation, Konya, Türkiye
  • 연구 의자: Selma Ö ÇELİKDELEN, Assist. Prof. Dr., Konya City Hospital
  • 연구 의자: Mehmet A GÜLER, PhD in PT, Selcuk University, Faculty of Health Sciences, Department of Physiotherapy and Rehabilitation, Konya, Türkiye

간행물 및 유용한 링크

연구에 대한 정보 입력을 담당하는 사람이 자발적으로 이러한 간행물을 제공합니다. 이것은 연구와 관련된 모든 것에 관한 것일 수 있습니다.

일반 간행물

연구 기록 날짜

이 날짜는 ClinicalTrials.gov에 대한 연구 기록 및 요약 결과 제출의 진행 상황을 추적합니다. 연구 기록 및 보고된 결과는 공개 웹사이트에 게시되기 전에 특정 품질 관리 기준을 충족하는지 확인하기 위해 국립 의학 도서관(NLM)에서 검토합니다.

연구 주요 날짜

연구 시작 (실제)

2026년 6월 10일

기본 완료 (추정된)

2026년 12월 30일

연구 완료 (추정된)

2027년 5월 10일

연구 등록 날짜

최초 제출

2026년 6월 12일

QC 기준을 충족하는 최초 제출

2026년 6월 12일

처음 게시됨 (실제)

2026년 6월 17일

연구 기록 업데이트

마지막 업데이트 게시됨 (실제)

2026년 6월 17일

QC 기준을 충족하는 마지막 업데이트 제출

2026년 6월 12일

마지막으로 확인됨

2026년 6월 1일

추가 정보

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아니요

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이 정보는 변경 없이 clinicaltrials.gov 웹사이트에서 직접 가져온 것입니다. 귀하의 연구 세부 정보를 변경, 제거 또는 업데이트하도록 요청하는 경우 register@clinicaltrials.gov. 문의하십시오. 변경 사항이 clinicaltrials.gov에 구현되는 즉시 저희 웹사이트에도 자동으로 업데이트됩니다. .

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