Validity and Reliability of Mixed Reality-Based Performance Tests in Overweight and Obese Adults
12. juni 2026 oppdatert av: 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.
Studieoversikt
Status
Rekruttering
Forhold
Intervensjon / Behandling
Studietype
Observasjonsmessig
Registrering (Antatt)
119
Kontakter og plasseringer
Denne delen inneholder kontaktinformasjon for de som utfører studien, og informasjon om hvor denne studien blir utført.
Studiekontakt
- Navn: Mehmet K ALTUNOK, PHD(c) in PT
- Telefonnummer: +90 5558175133
- E-post: mehmetkaan.altunok@selcuk.edu.tr
Studiesteder
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Selcuklu
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Konya, Selcuklu, Tyrkia (Türkiye), 42130
- Rekruttering
- Selcuk University, Faculty of Health Sciences, Department of Physiotherapy and Rehabilitation
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Ta kontakt med:
- Mehmet K ALTUNOK, PHD(c) in PT
- Telefonnummer: +90 5558175133
- E-post: mehmetkaan.altunok@selcuk.edu.tr
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Deltakelseskriterier
Forskere ser etter personer som passer til en bestemt beskrivelse, kalt kvalifikasjonskriterier. Noen eksempler på disse kriteriene er en persons generelle helsetilstand eller tidligere behandlinger.
Kvalifikasjonskriterier
Alder som er kvalifisert for studier
- Voksen
- Eldre voksen
Tar imot friske frivillige
Nei
Prøvetakingsmetode
Ikke-sannsynlighetsprøve
Studiepopulasjon
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.
Beskrivelse
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.
Studieplan
Denne delen gir detaljer om studieplanen, inkludert hvordan studien er utformet og hva studien måler.
Hvordan er studiet utformet?
Designdetaljer
Kohorter og intervensjoner
Gruppe / Kohort |
Intervensjon / Behandling |
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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.
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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.
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Hva måler studien?
Primære resultatmål
Resultatmål |
Tiltaksbeskrivelse |
Tidsramme |
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Five-Repetition Sit-to-Stand Test - Mixed Reality (5xSTS-MR)
Tidsramme: Baseline and 1-week follow-up
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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.
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Baseline and 1-week follow-up
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Timed Up and Go Test - Mixed Reality (TUG-MR)
Tidsramme: Baseline and 1-week follow-up
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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.
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Baseline and 1-week follow-up
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4-Meter Walk Test - Mixed Reality (4MW-MR)
Tidsramme: Baseline and 1-week follow-up
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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.
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Baseline and 1-week follow-up
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Sekundære resultatmål
Resultatmål |
Tiltaksbeskrivelse |
Tidsramme |
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Participant Satisfaction
Tidsramme: Baseline
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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.
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Baseline
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Timed Up and Go Test - Conventional
Tidsramme: Baseline
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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.
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Baseline
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Five-Repetition Sit-to-Stand Test - Conventional
Tidsramme: Baseline
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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.
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Baseline
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Knee Extensor Muscle Strength
Tidsramme: Baseline
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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.
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Baseline
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Handgrip Strength
Tidsramme: Baseline
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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.
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Baseline
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4-Meter Walk Test - Conventional
Tidsramme: Baseline
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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.
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Baseline
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Samarbeidspartnere og etterforskere
Det er her du vil finne personer og organisasjoner som er involvert i denne studien.
Sponsor
Etterforskere
- Studiestol: Gülşah ÖZSOY, Assist. Prof. Dr., Selcuk University, Faculty of Health Sciences, Department of Physiotherapy and Rehabilitation, Konya, Türkiye
- Studiestol: Zehra KORKUT, Assist. Prof. Dr., Selcuk University, Faculty of Health Sciences, Department of Physiotherapy and Rehabilitation, Konya, Türkiye
- Studiestol: İsmail ÖZSOY, Assoc. Prof. Dr., Selcuk University, Faculty of Health Sciences, Department of Physiotherapy and Rehabilitation, Konya, Türkiye
- Studiestol: İhsan KODAK, Assist. Prof. Dr., Kırşehir Ahi Evran University, School of Physical Therapy and Rehabilitation, Kırşehir, Türkiye
- Studiestol: Yasemin GEDİKLİ ERTÜRK, PhD (c) in PT, Selcuk University, Faculty of Health Sciences, Department of Physiotherapy and Rehabilitation, Konya, Türkiye
- Studiestol: Selma Ö ÇELİKDELEN, Assist. Prof. Dr., Konya City Hospital
- Studiestol: Mehmet A GÜLER, PhD in PT, Selcuk University, Faculty of Health Sciences, Department of Physiotherapy and Rehabilitation, Konya, Türkiye
Publikasjoner og nyttige lenker
Den som er ansvarlig for å legge inn informasjon om studien leverer frivillig disse publikasjonene. Disse kan handle om alt relatert til studiet.
Generelle publikasjoner
- Podsiadlo D, Richardson S. The timed "Up & Go": a test of basic functional mobility for frail elderly persons. J Am Geriatr Soc. 1991 Feb;39(2):142-8. doi: 10.1111/j.1532-5415.1991.tb01616.x.
- Sousa-Santos AR, Amaral TF. Differences in handgrip strength protocols to identify sarcopenia and frailty - a systematic review. BMC Geriatr. 2017 Oct 16;17(1):238. doi: 10.1186/s12877-017-0625-y.
- Cesari M, Kritchevsky SB, Newman AB, Simonsick EM, Harris TB, Penninx BW, Brach JS, Tylavsky FA, Satterfield S, Bauer DC, Rubin SM, Visser M, Pahor M; Health, Aging and Body Composition Study. Added value of physical performance measures in predicting adverse health-related events: results from the Health, Aging And Body Composition Study. J Am Geriatr Soc. 2009 Feb;57(2):251-9. doi: 10.1111/j.1532-5415.2008.02126.x.
- Maggio M, Ceda GP, Ticinesi A, De Vita F, Gelmini G, Costantino C, Meschi T, Kressig RW, Cesari M, Fabi M, Lauretani F. Instrumental and Non-Instrumental Evaluation of 4-Meter Walking Speed in Older Individuals. PLoS One. 2016 Apr 14;11(4):e0153583. doi: 10.1371/journal.pone.0153583. eCollection 2016.
- 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.
- Muhla F, Clanche F, Duclos K, Meyer P, Maiaux S, Colnat-Coulbois S, Gauchard GC. Impact of using immersive virtual reality over time and steps in the Timed Up and Go test in elderly people. PLoS One. 2020 Mar 13;15(3):e0229594. doi: 10.1371/journal.pone.0229594. eCollection 2020.
- Saunders S, Reid J, Mehdipour A, D'Amore C, Kuspinar A, Richardson J, Beauchamp M. Virtual Assessment Protocols for Timed-Up-and-Go, 5-Repetition Chair Rise, and 1-Minute Sit-to-Stand Tests in Community-Dwelling Older Adults: Investigating Feasibility, Reliability, and Validity. Arch Phys Med Rehabil. 2025 Jun;106(6):926-933. doi: 10.1016/j.apmr.2024.11.011. Epub 2024 Nov 28.
- Griswold D, Rockwell K, Killa C, Maurer M, Landgraff N, Learman K. Establishing the reliability and concurrent validity of physical performance tests using virtual reality equipment for community-dwelling healthy elders. Disabil Rehabil. 2015;37(12):1097-101. doi: 10.3109/09638288.2014.952451. Epub 2014 Aug 25.
- 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.
Studierekorddatoer
Disse datoene sporer fremdriften for innsending av studieposter og sammendragsresultater til ClinicalTrials.gov. Studieposter og rapporterte resultater gjennomgås av National Library of Medicine (NLM) for å sikre at de oppfyller spesifikke kvalitetskontrollstandarder før de legges ut på det offentlige nettstedet.
Studer hoveddatoer
Studiestart (Faktiske)
10. juni 2026
Primær fullføring (Antatt)
30. desember 2026
Studiet fullført (Antatt)
10. mai 2027
Datoer for studieregistrering
Først innsendt
12. juni 2026
Først innsendt som oppfylte QC-kriteriene
12. juni 2026
Først lagt ut (Faktiske)
17. juni 2026
Oppdateringer av studieposter
Sist oppdatering lagt ut (Faktiske)
17. juni 2026
Siste oppdatering sendt inn som oppfylte QC-kriteriene
12. juni 2026
Sist bekreftet
1. juni 2026
Mer informasjon
Begreper knyttet til denne studien
Nøkkelord
Ytterligere relevante MeSH-vilkår
Andre studie-ID-numre
- SelcukU_PT_OBESITY_MR_ADAP1
Plan for individuelle deltakerdata (IPD)
Planlegger du å dele individuelle deltakerdata (IPD)?
NEI
Legemiddel- og utstyrsinformasjon, studiedokumenter
Studerer et amerikansk FDA-regulert medikamentprodukt
Nei
Studerer et amerikansk FDA-regulert enhetsprodukt
Nei
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