Reliability (Test-retest) of 30 Seconds Sit-to-stand and Timed Up and Go in Adults With Long Covid

Long COVID Clinical Trial

Official title: Reliability of 30 Seconds Sit-to-stand and Timed Up and Go in Adults With Long Covid

Status Recruiting

Clinical Trial Summary

The goal of this study is to test the reliability (with a test-retest process) of 30 seconds Sit to Stand and Timed Up and Go in an adult population with long-covid, hospitalised in a rehabilitation center.

Clinical Trial Description

Since December 2019, Covid-19 has affected millions of people worldwide, leaving many of them with symptoms such as fatigue, (muscle) weakness and dyspnoea, even months after their infection (long covid). Rehabilitation centers were established to aid this new group of patients. This study's aim is to test the reliability of 2 outcome measures for patients with long covid. 30 seconds Sit-To-Stand and Timed Up And Go tests are not specific to a disease but they evaluate functionality, mobility and endurance. They are easy to perform in a clinical setting as they do not require specific equipment. The reliability of the above tests has yet to be established in people with long covid.

A sample size of 19 people will be used. A difference in reliability of 0.9 and 0.7 at 80% power and a 5% level of significance using two ratings was set. Based on two testing sessions, an x value of 0.05, and a power of 0.80, a minimal sample size of 19 patients was identified (Karagiannis et al., 2020).

19 patients with long covid from the rehabilitation center will take both tests in a single day and 3 days later they will take the tests again with no physical therapy intervention in between the measurements.

For the statistical analysis, ICC (Intra-class correlation coefficients), SEM (standard error of measurement) and Bland-Altman plot will be used. These tests evaluate test-retest reliability, through the identification of the agreement of patient's scores between the 2 measurements and they evaluate the measurement precision (Savva et al, 2014). ;

Related Conditions & MeSH terms

• Long COVID

• NCT number: NCT05886842
• Study type: Observational
• Source: European University Cyprus
• Contact: Marina E Kloni
• Phone: 00357 99007245
• Email: marina.eleni@gmail.com
• Status: Recruiting
• Start date: December 21, 2022
• Completion date: August 21, 2025