Cut Points of Chair Stand Test for Poor Physical Function and Its Association With Adverse Health Outcomes in Community-Dwelling Older Adults: A Cross-Sectional and Longitudinal Study |
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| Affiliation: | 1. Department of Biomedical Science and Technology, College of Medicine, East-West Medical Research Institute, Kyung Hee University, Seoul, Korea;2. Department of Family Medicine, College of Medicine, Kyung Hee University, Seoul, Korea;3. Department of Family Medicine, Kyung Hee University Medical Center, Seoul, Korea;1. Department of Preventive Medicine and Population Health, University of Texas Medical Branch, Galveston, TX, USA;2. Sealy Center on Aging, University of Texas Medical Branch, Galveston, TX, USA;3. Department of Economics, Farmer School of Business, Miami University, Oxford, OH, USA;4. Scripps Gerontology Center, Miami University, Oxford, OH, USA;5. Department of Public Health Sciences, University of Rochester School of Medicine and Dentistry, Rochester, NY, USA;6. Division of Geriatrics, Department of Medicine, University of Rochester School of Medicine and Dentistry, Rochester, NY, USA;7. Geriatrics & Extended Care Data Analysis Center (GECDAC), Canandaigua VA Medical Center, Canandaigua, NY, USA;1. School of Population and Global Health, The University of Western Australia, Crawley, Western Australia, Australia;2. Western Australian Centre for Health and Ageing, Medical School, The University of Western Australia, Perth, Western Australia, Australia;3. Medical School, The University of Western Australia, Crawley, Western Australia, Australia;4. Department of Endocrinology and Diabetes, Fiona Stanley Hospital, Perth, Western Australia, Australia;5. Queensland Research Centre for Peripheral Vascular Disease, College of Medicine and Dentistry, James Cook University, Townsville, Australia;6. Department of Vascular and Endovascular Surgery, Townsville University Hospital, Townsville, Australia;1. Centre for Family Medicine Family Health Team, Kitchener, Ontario, Canada;2. Department of Family Medicine, McMaster University, Hamilton, Ontario, Canada;3. Schlegel-University of Waterloo Research Institute for Aging, Waterloo, Ontario, Canada;4. GERAS Centre for Aging Research, Hamilton, Ontario, Canada;5. Schulich School of Medicine & Dentistry, Western University, London, Ontario, Canada;1. Division of Community Internal Medicine, Mayo Clinic, Rochester, MN, USA;2. Division of Geriatric Medicine and Gerontology, Mayo Clinic, Rochester, MN, USA;3. Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN, USA;4. Department of Artificial Intelligence and Informatics, Mayo Clinic, Rochester, MN, USA;5. Division of Clinical Trials and Biostatistics, Mayo Clinic, Rochester, MN, USA;1. Tertiary Emergency Medical Center, Tokyo Metropolitan Bokutoh Hospital, Tokyo, Japan;2. Tokyo Fire Department, Tokyo, Japan |
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| Abstract: | ObjectivesTo identify the optimal cutoff points for poor physical function [measured by a 5-times sit-to-stand (5-STS) test] associated with slowness in community-dwelling older adults and to validate the 5-STS cut points by determining whether they predicted future slowness and clinically relevant health outcomes over a 2-year-follow-up period.DesignCross-sectional and longitudinal analyses of a cohort study.Setting and ParticipantsWe conducted cross-sectional (n = 2977) and prospective 2-year follow-up analyses (n = 2515) among participants aged 70-84 years enrolled in the nationwide Korean Frailty and Aging Cohort Study (KFACS).MethodsClassification and regression tree (CART) analysis was used to identify the 5-STS cut points for poor performance in terms of slowness (eg, gait speed ≥1.0 m/s, gait speed >0.8 m/s and <1.0 m/s, gait speed ≤0.8 m/s) at baseline. Multinomial logistic regression models were used to evaluate the prevalence and incidence of slowness and clinical outcomes according to the three 5-STS categories (normal, intermediate, and poor) in the cross-sectional and longitudinal analyses.ResultsThe overall prevalence of slowness in our study sample was 9.0% for a gait speed of ≤0.8 m/s and 32.1% for a gait speed of <1.0 m/s. The CART model identified 5-STS cut points of 10.8 seconds and 12.8 seconds for intermediate and poor physical function, respectively. In the adjusted model, the cut point of 12.8 seconds had a significantly increased likelihood of incident slowness and clinically relevant health outcomes (ie, mobility limitation, disability, frailty, sarcopenia risk, and falls) over the 2-year-follow-up period (all, P < .05).Conclusions and ImplicationsOur study established 5-STS test cutoff points for poor physical function. Thresholds of 10.8 and 12.8 seconds (intermediate and poor physical function, respectively) for a 5-STS test might help identify individuals at risk of physical function impairments and, thus, help design preventive interventions in community health care settings. |
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| Keywords: | Sarcopenia threshold values physical function community-dwelling older adults |
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