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A Proposed Method of Converting Gait Speed and TUG Test in Older Subjects

Bibliographic Data

ID15464296
AuthorsJoanna Kostka (0000-0002-6256-1669, Medical University of Lodz), Natalia Sosowska (Medical University of Lodz), Agnieszka Guligowska (0000-0002-6928-3892, Medical University of Lodz), Tomasz Kostka (0000-0003-0437-650X, Medical University of Lodz, corresponding author)
Year2022
Volume19
Issue19
Pages12145-12145
Publication date2022-09-25
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueInternational Journal of Environmental Research and Public Health (JOURNAL)
Journal identifiersISSN: 1661-7827 • E-ISSN: 1660-4601
PublisherMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph191912145
PMID36231451
OpenAlexW4297236062
LanguageEN
References cited48

Sarcopenia is one of the most important health problems in advanced age. In 2019, the European Working Group of Sarcopenia in Older People (EWGSOP) updated the operational diagnostic criteria for identification of people with sarcopenia (EWGSOP2). Among the two proposed low performance measures of sarcopenia are gait speed and the Timed Up and Go (TUG) test. Usage of any of those tools requires recalculation for the second one for eventual comparisons. The simple linear regression has been used for such comparisons in several previous studies, but the appropriateness of such an approach has not been verified. The aim of this study is to find the most appropriate model describing the relationship between these two popular measures of physical function. The study was performed in 450 consecutive outpatients of the Geriatric Clinic of the Medical University of Lodz, Poland, aged 70 to 92 years who volunteered to participate in the study. The TUG test and gait speed at 4 m to assess physical function were used. Different alternative models were compared to obtain the highest R-squared values. A Reciprocal-Y model (R-squared = 71.9%) showed the highest performance, followed by a Logarithmic-Y square root-X model (R-squared = 69.3%) and a Reciprocal-Y square root-X model (R-squared = 69.1%). The R-squared for the linear model was 49.5%. For the selected reciprocal model, the correlation coefficient was 0.85 and the equation of the fitted model was: Gait speed (m/s) = 1/(-0.0160767 + 0.101386 × TUG). In conclusion, in independent community-dwelling older adults, the relationship between gait speed and the TUG test in older subjects is nonlinear. The proposed reciprocal model may be useful for recalculations of gait speed or TUG in future studies

Balance (ability · Biology · Gait · Medical emergency · Physical medicine and rehabilitation · Poison control · Preferred walking speed · Test (biology · Timed Up and Go test · Tug of war · Balance, Gait, and Falls Prevention · Human Factors and Ergonomics · Medicine · Nutrition and Health in Aging · Scoliosis diagnosis and treatment

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