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

12 giugno 2026 aggiornato da: 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.

Panoramica dello studio

Stato

Reclutamento

Condizioni

Intervento / Trattamento

Tipo di studio

Osservativo

Iscrizione (Stimato)

119

Contatti e Sedi

Questa sezione fornisce i recapiti di coloro che conducono lo studio e informazioni su dove viene condotto lo studio.

Contatto studio

Luoghi di studio

  • Turchia (Türkiye)
    • Selcuklu
      • Konya, Selcuklu, Turchia (Türkiye), 42130
        • Reclutamento
        • Selcuk University, Faculty of Health Sciences, Department of Physiotherapy and Rehabilitation
        • Contatto:

Criteri di partecipazione

I ricercatori cercano persone che corrispondano a una certa descrizione, chiamata criteri di ammissibilità. Alcuni esempi di questi criteri sono le condizioni generali di salute di una persona o trattamenti precedenti.

Criteri di ammissibilità

Età idonea allo studio

  • Adulto
  • Adulto più anziano

Accetta volontari sani

No

Metodo di campionamento

Campione non probabilistico

Popolazione di studio

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.

Descrizione

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.

Piano di studio

Questa sezione fornisce i dettagli del piano di studio, compreso il modo in cui lo studio è progettato e ciò che lo studio sta misurando.

Come è strutturato lo studio?

Dettagli di progettazione

Coorti e interventi

Gruppo / Coorte
Intervento / Trattamento
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.
Altro: 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 clinical assessments to evaluate validity. The mixed reality-based tests will be repeated one week later to assess test-retest reliability.

Cosa sta misurando lo studio?

Misure di risultato primarie

Misura del risultato
Misura Descrizione
Lasso di tempo
Five-Repetition Sit-to-Stand Test - Mixed Reality (5xSTS-MR)
Lasso di tempo: 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)
Lasso di tempo: 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)
Lasso di tempo: 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

Misure di risultato secondarie

Misura del risultato
Misura Descrizione
Lasso di tempo
Participant Satisfaction
Lasso di tempo: 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
Lasso di tempo: 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
Lasso di tempo: 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
Lasso di tempo: 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
Lasso di tempo: 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
Lasso di tempo: 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

Collaboratori e investigatori

Qui è dove troverai le persone e le organizzazioni coinvolte in questo studio.

Sponsor

Selcuk University

Investigatori

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

Pubblicazioni e link utili

La persona responsabile dell'inserimento delle informazioni sullo studio fornisce volontariamente queste pubblicazioni. Questi possono riguardare qualsiasi cosa relativa allo studio.

Pubblicazioni generali

Studiare le date dei record

Queste date tengono traccia dell'avanzamento della registrazione dello studio e dell'invio dei risultati di sintesi a ClinicalTrials.gov. I record degli studi e i risultati riportati vengono esaminati dalla National Library of Medicine (NLM) per assicurarsi che soddisfino specifici standard di controllo della qualità prima di essere pubblicati sul sito Web pubblico.

Studia le date principali

Inizio studio (Effettivo)

10 giugno 2026

Completamento primario (Stimato)

30 dicembre 2026

Completamento dello studio (Stimato)

10 maggio 2027

Date di iscrizione allo studio

Primo inviato

12 giugno 2026

Primo inviato che soddisfa i criteri di controllo qualità

12 giugno 2026

Primo Inserito (Effettivo)

17 giugno 2026

Aggiornamenti dei record di studio

Ultimo aggiornamento pubblicato (Effettivo)

17 giugno 2026

Ultimo aggiornamento inviato che soddisfa i criteri QC

12 giugno 2026

Ultimo verificato

1 giugno 2026

Maggiori informazioni

Termini relativi a questo studio

Parole chiave

Termini MeSH pertinenti aggiuntivi

Altri numeri di identificazione dello studio

  • SelcukU_PT_OBESITY_MR_ADAP1

Piano per i dati dei singoli partecipanti (IPD)

Hai intenzione di condividere i dati dei singoli partecipanti (IPD)?

NO

Informazioni su farmaci e dispositivi, documenti di studio

Studia un prodotto farmaceutico regolamentato dalla FDA degli Stati Uniti

No

Studia un dispositivo regolamentato dalla FDA degli Stati Uniti

No

Queste informazioni sono state recuperate direttamente dal sito web clinicaltrials.gov senza alcuna modifica. In caso di richieste di modifica, rimozione o aggiornamento dei dettagli dello studio, contattare register@clinicaltrials.gov. Non appena verrà implementata una modifica su clinicaltrials.gov, questa verrà aggiornata automaticamente anche sul nostro sito web .

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