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

Author

Listed:
  • Joanna Kostka

    (Department of Gerontology, Medical University of Lodz, Milionowa 14, 93-113 Lodz, Poland)

  • Natalia Sosowska

    (Department of Geriatrics, Healthy Ageing Research Centre, Medical University of Lodz, Hallera 1, 90-647 Lodz, Poland)

  • Agnieszka Guligowska

    (Department of Geriatrics, Healthy Ageing Research Centre, Medical University of Lodz, Hallera 1, 90-647 Lodz, Poland)

  • Tomasz Kostka

    (Department of Geriatrics, Healthy Ageing Research Centre, Medical University of Lodz, Hallera 1, 90-647 Lodz, Poland)

Abstract

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.

Suggested Citation

  • Joanna Kostka & Natalia Sosowska & Agnieszka Guligowska & Tomasz Kostka, 2022. "A Proposed Method of Converting Gait Speed and TUG Test in Older Subjects," IJERPH, MDPI, vol. 19(19), pages 1-11, September.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:19:p:12145-:d:924862
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    References listed on IDEAS

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    1. Shih-Hsien Yang & Qi-Xing Chang & Chung-Chao Liang & Jia-Ching Chen, 2022. "The Effects of Using a Low-Cost and Easily Accessible Exercise Toolkit Incorporated to the Governmental Health Program on Community-Dwelling Older Adults: A Quasi-Experimental Study," IJERPH, MDPI, vol. 19(15), pages 1-12, August.
    2. Zhenlan Li & Tian Wang & Mengyue Shen & Tao Song & Jie He & Wei Guo & Zhen Wang & Jie Zhuang, 2022. "Comparison of Wuqinxi Qigong with Stretching on Single- and Dual-Task Gait, Motor Symptoms and Quality of Life in Parkinson’s Disease: A Preliminary Randomized Control Study," IJERPH, MDPI, vol. 19(13), pages 1-12, June.
    3. Anh Trung Nguyen & Huong Thi Thu Nguyen & Huong Thi Thanh Nguyen & Thanh Xuan Nguyen & Tam Ngoc Nguyen & Thu Thi Hoai Nguyen & Anh Lan Nguyen & Thang Pham & Huyen Thi Thanh Vu, 2022. "Walking Speed Assessed by 4-Meter Walk Test in the Community-Dwelling Oldest Old Population in Vietnam," IJERPH, MDPI, vol. 19(16), pages 1-11, August.
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