{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,29]],"date-time":"2026-09-29T07:12:56Z","timestamp":1790665976488,"version":"4.1.0"},"reference-count":33,"publisher":"Oxford University Press (OUP)","issue":"10","license":[{"start":{"date-parts":[[2021,6,24]],"date-time":"2021-06-24T00:00:00Z","timestamp":1624492800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/journals\/pages\/open_access\/funder_policies\/chorus\/standard_publication_model"}],"funder":[{"DOI":"10.13039\/100000049","name":"National Institute on Aging","doi-asserted-by":"publisher","award":["AG51421"],"award-info":[{"award-number":["AG51421"]}],"id":[{"id":"10.13039\/100000049","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000009","name":"Foundation for the National Institutes of Health","doi-asserted-by":"publisher","award":["CAWT16SARC2"],"award-info":[{"award-number":["CAWT16SARC2"]}],"id":[{"id":"10.13039\/100000009","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000009","name":"Foundation for the National Institutes of Health","doi-asserted-by":"publisher","award":["BHAS16SARC2"],"award-info":[{"award-number":["BHAS16SARC2"]}],"id":[{"id":"10.13039\/100000009","id-type":"DOI","asserted-by":"publisher"}]},{"name":"California Pacific Medical Center Foundation"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,9,13]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:sec>\n                  <jats:title>Background<\/jats:title>\n                  <jats:p>Cut-points to define slow walking speed have largely been derived from expert opinion.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Methods<\/jats:title>\n                  <jats:p>Study participants (13 589 men and 5043 women aged \u226565years) had walking speed (m\/s) measured over 4\u20136 m (mean \u00b1 SD: 1.20 \u00b1 0.27 m\/s in men and 0.94 \u00b1 0.24 m\/s in women.) Mobility limitation was defined as any self-reported difficulty with walking approximately 1\/4 mile (prevalence: 12.6% men, 26.4% women). Sex-stratified classification and regression tree (CART) models with 10-fold cross-validation identified walking speed cut-points that optimally discriminated those who reported mobility limitation from those who did not.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Results<\/jats:title>\n                  <jats:p>Among 5043 women, CART analysis identified 2 cut-points, classifying 4144 (82.2%) with walking speed \u22650.75 m\/s, which we labeled as \u201cfast\u201d; 478 (9.5%) as \u201cintermediate\u201d (walking speed \u22650.62 m\/s but &amp;lt;0.75 m\/s); and 421 (8.3%) as \u201cslow\u201d (walking speed &amp;lt;0.62 m\/s). Among 13 589 men, CART analysis identified 3 cut-points, classifying 10 001 (73.6%) with walking speed \u22651.00 m\/s (\u201cvery fast\u201d); 2901 (21.3%) as \u201cfast\u201d (walking speed \u22650.74 m\/s but &amp;lt;1.00 m\/s); 497 (3.7%) as \u201cintermediate\u201d (walking speed \u22650.57 m\/s but &amp;lt;0.74 m\/s); and 190 (1.4%) as \u201cslow\u201d (walking speed &amp;lt;0.57 m\/s). Prevalence of self-reported mobility limitation was lowest in the \u201cfast\u201d or \u201cvery fast\u201d (11% for men and 19% for women) and highest in the \u201cslow\u201d (60.5% in men and 71.0% in women). Rounding the 2 slower cut-points to 0.60 m\/s and 0.75 m\/s reclassified very few participants.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Conclusions<\/jats:title>\n                  <jats:p>Cut-points in walking speed of approximately 0.60 m\/s and 0.75 m\/s discriminate those with self-reported mobility limitation from those without.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1093\/gerona\/glab183","type":"journal-article","created":{"date-parts":[[2021,6,24]],"date-time":"2021-06-24T16:59:08Z","timestamp":1624553948000},"page":"e321-e327","source":"Crossref","is-referenced-by-count":27,"title":["What Cut-Point in Gait Speed Best Discriminates Community-Dwelling Older Adults With Mobility Complaints From Those Without? A Pooled Analysis From the Sarcopenia Definitions and Outcomes Consortium"],"prefix":"10.1093","volume":"76","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4938-9478","authenticated-orcid":false,"given":"Peggy M","family":"Cawthon","sequence":"first","affiliation":[{"name":"California Pacific Medical Center Research Institute, San Francisco, USA"},{"name":"Department of Epidemiology and Biostatistics, University of California San Francisco, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sheena M","family":"Patel","sequence":"additional","affiliation":[{"name":"California Pacific Medical Center Research Institute, San Francisco, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3336-6781","authenticated-orcid":false,"given":"Stephen B","family":"Kritchevsky","sequence":"additional","affiliation":[{"name":"Sticht Center for Healthy Aging and Alzheimer\u2019s Prevention, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Anne B","family":"Newman","sequence":"additional","affiliation":[{"name":"Department of Epidemiology, University of Pittsburgh, Pennsylvania, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6912-2909","authenticated-orcid":false,"given":"Adam","family":"Santanasto","sequence":"additional","affiliation":[{"name":"Department of Epidemiology, University of Pittsburgh, Pennsylvania, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Douglas P","family":"Kiel","sequence":"additional","affiliation":[{"name":"Marcus Institute for Aging Research, Hebrew SeniorLife, Department of Medicine Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1030-7175","authenticated-orcid":false,"given":"Thomas 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Science University, Portland, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kate A","family":"Duchowny","sequence":"additional","affiliation":[{"name":"Department of Epidemiology and Biostatistics, University of California San Francisco, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Timothy","family":"Kwok","sequence":"additional","affiliation":[{"name":"Department of Medicine & Therapeutics and School of Public Health, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, Hong Kong"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Vasant","family":"Hirani","sequence":"additional","affiliation":[{"name":"Charles Perkins Centre, University of Sydney, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"John","family":"Schousboe","sequence":"additional","affiliation":[{"name":"HealthPartners Institute, Bloomington, Minnesota, USA"},{"name":"Division of Health Policy and Management, University 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