Mixed-reality tests to measure functional mobility in adults with type 2 diabetes
Official title: Validity and Reliability of the Mixed Reality Adaptation of the 6-Minute Walk, Timed Up and Go, and Five-Repetition Sit-to-Stand Tests in Individuals With Type 2 Diabetes Mellitus
Run by Selcuk University · NCT07649967 · Data updated 2026-11-12
Researchers are testing whether mixed-reality assessments can reliably measure how well adults with type 2 diabetes move and walk.
Quick facts
| Study type | Observational |
|---|---|
| Ages | 18 Years to 65 Years |
| Sex | All |
| Enrollment | 75 (estimated) |
| Sponsor | Selcuk University Academic / other |
| Locations | 1 site (Konya, Selcuklu) |
| Status | Recruiting |
| Started | June 10, 2026 |
| Main results expected | December 30, 2026 |
| Study ends | May 10, 2027 |
| Registry record updated | June 16, 2026 |
| Trial ID | NCT07649967 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Adults aged 18–65 with diagnosed type 2 diabetes who can walk independently and understand Turkish.
✕Probably not a fit
Individuals with significant retinal or peripheral nerve complications, severe sensory loss, or other conditions that limit safe testing may not benefit.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This observational study evaluates the validity and reliability of mixed reality-based functional performance assessments in adults with type 2 diabetes. The focus is on commonly used mobility tests such as the 6-minute walk, Timed Up and Go, and the sit-to-stand test, adapted for a mixed reality setting. Participants will perform these tests to determine if the mixed reality approach provides stable, clinically meaningful measurements across repeated sessions. The study is conducted at Selcuk University and targets adults aged 18 to 65 without recent structured exercise, ensuring safety and comprehension of test instructions in Turkish. Findings could support standardized, tech-assisted mobility monitoring in diabetes care.
Why it matters
Potential benefit: If successful, patients could benefit from more accurate and engaging ways to monitor functional mobility using mixed reality tools.
How similar studies have gone: Previous research supports reliability of traditional mobility tests in this population, and mixed reality approaches are being explored for measurement consistency.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * Diagnosed with Type 2 Diabetes Mellitus by a physician, * Aged between 18 and 65 years, * Ability to ambulate independently without the use of an assistive device, * No participation in a structured exercise program within the previous 6 months, * Cognitive ability sufficient to understand and follow test instructions, * Visual, auditory, and vestibular functions sufficient to tolerate mixed reality applications, * Ability to read, understand, and follow instructions in Turkish, * Willingness to participate voluntarily in the study and provision of written informed consent. Exclusion Criteria: * Presence of proliferative diabetic retinopathy or severe non-proliferative diabetic retinopathy, * Advanced peripheral neuropathy, active foot ulcer, Charcot foot, or significant sensory loss that may compromise safe test performance, * Presence of peripheral arterial disease, * Advanced renal failure, requirement for dialysis, or nephropathy that may compromise exercise safety, * Myocardial infarction within the previous 6 months, * Unstable ischemic heart disease or uncontrolled angina, * Resting blood pressure greater than 160/100 mmHg, * Presence of severe musculoskeletal, neurological, or vestibular disorders that may interfere with safe test performance, * High risk of balance loss or spatial disorientation in the mixed reality environment due to visual, auditory, or balance impairments, * Cognitive, behavioral, or compliance-related problems that may prevent completion of the study procedures.
Where it's running
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Selcuk University, Faculty of Health Sciences, Department of Physiotherapy and Rehabilitation
Konya, Selcuklu, Turkey (Türkiye) Recruiting
Study contacts
- Study coordinator: Mehmet K ALTUNOK, PHD(c) in PT
- Email: mehmetkaan.altunok@selcuk.edu.tr
- Phone: 5558175133
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.