{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,19]],"date-time":"2026-01-19T03:09:50Z","timestamp":1768792190554,"version":"3.49.0"},"reference-count":23,"publisher":"MDPI AG","issue":"15","license":[{"start":{"date-parts":[[2021,7,29]],"date-time":"2021-07-29T00:00:00Z","timestamp":1627516800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100003710","name":"Korea Health Industry Development Institute","doi-asserted-by":"publisher","award":["HI18C2383"],"award-info":[{"award-number":["HI18C2383"]}],"id":[{"id":"10.13039\/501100003710","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>The Short Physical Performance Battery (SPPB) is a widely accepted test for measuring lower extremity function in older adults. However, there are concerns regarding the examination time required to conduct a complete SPPB consisting of three components (walking speed, chair rise, and standing balance tests) in clinical settings. We aimed to assess specific examination times for each component of the electronic Short Physical Performance Battery (eSPPB) and compare the ability of the original three-component examinations (eSPPB) and a faster, two-component examination without a balance test (electronic Quick Physical Performance Battery, eQPPB) to classify sarcopenia. The study was a retrospective, cross-sectional study which included 124 ambulatory outpatients who underwent physical performance examination at a geriatric clinic of a tertiary, academic hospital in Seoul, Korea, between December 2020 and March 2021. For eSPPB, we used a toolkit containing sensors and software (Dyphi, Daejeon, Korea) developed to measure standing balance, walking speed, and chair rise test results. Component-specific time stamps were used to log the raw data. Duration of balance examination, 5 times sit-to-stand test (5XSST), and walking speed examination were calculated. Sarcopenia was determined using the 2019 Asian Working Group for Sarcopenia (AWGS) guideline. The median age was 78 years (interquartile range, IQR: 73,82) and 77 subjects (62.1%) were female. The total mean eSPPB test time was 124.8 \u00b1 29.0 s (balance test time 61.8 \u00b1 12.3 s, 49.5%; gait speed test time 34.3 \u00b1 11.9 s, 27.5%; and 5XSST time 28.7 \u00b1 19.1 s, 23.0%). The total mean eQPPB test time was 63.0 \u00b1 25.4 s. Based on the AWGS criteria, 34 (27.4%) patient\u2019s results were consistent with sarcopenia. C-statistics for classifying sarcopenia were 0.83 for eSPPB and 0.85 for eQPPB (p = 0.264), while eQPPB took 49.5% less measurement time compared with eSPPB. Breakdowns of eSPPB test times were identified. Omitting balance tests may reduce test time without significantly affecting the classifying ability of eSPPB for sarcopenia.<\/jats:p>","DOI":"10.3390\/s21155147","type":"journal-article","created":{"date-parts":[[2021,7,29]],"date-time":"2021-07-29T21:21:21Z","timestamp":1627593681000},"page":"5147","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Comparison of Two Electronic Physical Performance Batteries by Measurement Time and Sarcopenia Classification"],"prefix":"10.3390","volume":"21","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1880-048X","authenticated-orcid":false,"given":"Chan Mi","family":"Park","sequence":"first","affiliation":[{"name":"Asan Medical Center, Division of Geriatrics, Department of Internal Medicine, University of Ulsan College of Medicine, Seoul 05505, Korea"},{"name":"Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hee-Won","family":"Jung","sequence":"additional","affiliation":[{"name":"Asan Medical Center, Division of Geriatrics, Department of Internal Medicine, University of Ulsan College of Medicine, Seoul 05505, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3617-3301","authenticated-orcid":false,"given":"Il-Young","family":"Jang","sequence":"additional","affiliation":[{"name":"Asan Medical Center, Division of Geriatrics, Department of Internal Medicine, University of Ulsan College of Medicine, Seoul 05505, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7547-8015","authenticated-orcid":false,"given":"Ji Yeon","family":"Baek","sequence":"additional","affiliation":[{"name":"Asan Medical Center, Division of Geriatrics, Department of Internal Medicine, University of Ulsan College of Medicine, Seoul 05505, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Seongjun","family":"Yoon","sequence":"additional","affiliation":[{"name":"Dyphi Research Institute, Dyphi Inc., Daejeon 34068, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hyunchul","family":"Roh","sequence":"additional","affiliation":[{"name":"Dyphi Research Institute, Dyphi Inc., Daejeon 34068, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4612-0625","authenticated-orcid":false,"given":"Eunju","family":"Lee","sequence":"additional","affiliation":[{"name":"Asan Medical Center, Division of Geriatrics, Department of Internal Medicine, University of Ulsan College of Medicine, Seoul 05505, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2021,7,29]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1782","DOI":"10.1111\/jgs.15975","article-title":"Use of Functional Assessment to Define Therapeutic Goals and Treatment","volume":"67","author":"High","year":"2019","journal-title":"J. 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