{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,3]],"date-time":"2025-11-03T19:00:40Z","timestamp":1762196440214,"version":"build-2065373602"},"reference-count":29,"publisher":"Wiley","issue":"4","license":[{"start":{"date-parts":[[2018,2,10]],"date-time":"2018-02-10T00:00:00Z","timestamp":1518220800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/100000050","name":"National Heart, Lung, and Blood Institute","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000050","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000016","name":"U.S. Department of Health and Human Services","doi-asserted-by":"publisher","award":["N268201100046C","HHSN268201100001C","HHSN268201100002C","HHSN268201100003C","HSN268201100004C","HHSN271201100004C"],"award-info":[{"award-number":["N268201100046C","HHSN268201100001C","HHSN268201100002C","HHSN268201100003C","HSN268201100004C","HHSN271201100004C"]}],"id":[{"id":"10.13039\/100000016","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["J American Geriatrics Society"],"published-print":{"date-parts":[[2018,4]]},"abstract":"\n Objectives<\/jats:title>\n \n To compare the value of clinically measured gait speed with that of the self\u2010reported Medical Outcomes Study 36\u2010item Short\u2010Form Survey Physical Function Index (\n SF<\/jats:styled-content>\n \u201036\n PF<\/jats:styled-content>\n ) in predicting future preclinical mobility disability (\n PCMD<\/jats:styled-content>\n ) in older women.\n <\/jats:p>\n <\/jats:sec>\n \n Design<\/jats:title>\n Prospective cohort study.<\/jats:p>\n <\/jats:sec>\n \n Setting<\/jats:title>\n Forty clinical centers in the United States.<\/jats:p>\n <\/jats:sec>\n \n Participants<\/jats:title>\n \n Women aged 65 to 79 enrolled in the Women's Health Initiative Clinical Trials with gait speed and\n SF<\/jats:styled-content>\n \u201036 assessed at baseline (1993\u20131998) and follow\u2010up Years 1, 3, and 6 (N = 3,587).\n <\/jats:p>\n <\/jats:sec>\n \n Measurements<\/jats:title>\n \n Women were categorized as nondecliners or decliners based on changes (from baseline to Year 1) in gait speed and\n SF<\/jats:styled-content>\n \u201036\n PF<\/jats:styled-content>\n scores. Logistic regression models were used to estimate incident\n PCMD<\/jats:styled-content>\n (gait speed <1.0 m\/s) at Years 3 and 6. Area under the receiver operating characteristic curve (\n AUC<\/jats:styled-content>\n ) was used to compare the predictive value of\n SF<\/jats:styled-content>\n \u201036\n PF<\/jats:styled-content>\n with that of measured gait speed.\n <\/jats:p>\n <\/jats:sec>\n \n Results<\/jats:title>\n \n Slower baseline gait speed and lower\n SF<\/jats:styled-content>\n \u201036\n PF<\/jats:styled-content>\n scores were associated with higher adjusted odds of\n PCMD<\/jats:styled-content>\n at Years 3 and 6 (all\n P<\/jats:italic>\n < .001). For gait speed, decliners were 2.59 times as likely to have developed\n PCMD<\/jats:styled-content>\n as nondecliners by Year 3 and 2.35 times as likely by Year 6. Likewise, for\n SF<\/jats:styled-content>\n \u201036, decliners were 1.42 times as likely to have developed\n PCMD<\/jats:styled-content>\n by Year 3 and 1.49 times as likely by Year 6. Baseline gait speed (\n AUC<\/jats:styled-content>\n = 0.713) was nonsignificantly better than\n SF<\/jats:styled-content>\n \u201036 (\n AUC<\/jats:styled-content>\n = 0.705) at predicting\n PCMD<\/jats:styled-content>\n over 6 years (\n P<\/jats:italic>\n = .21); including measures at a second time point significantly improved model discrimination for predicting\n PCMD<\/jats:styled-content>\n (all\n P<\/jats:italic>\n < .001).\n <\/jats:p>\n <\/jats:sec>\n \n Conclusion<\/jats:title>\n \n Gait speed identified\n PCMD<\/jats:styled-content>\n risk in older women better than the\n SF<\/jats:styled-content>\n \u201036\n PF<\/jats:styled-content>\n did, although the results may be limited given that gait speed served as a predictor and to define the\n PCMD<\/jats:styled-content>\n outcome. Nonetheless, monitoring trajectories of change in mobility are better predictors of future mobility disability than single measures.\n <\/jats:p>\n <\/jats:sec>","DOI":"10.1111\/jgs.15273","type":"journal-article","created":{"date-parts":[[2018,2,10]],"date-time":"2018-02-10T09:06:41Z","timestamp":1518253601000},"page":"706-713","source":"Crossref","is-referenced-by-count":11,"title":["36\u2010Item Short Form Survey (SF\u201036) Versus Gait Speed As Predictor of Preclinical Mobility Disability in Older Women: The Women's Health Initiative"],"prefix":"10.1111","volume":"66","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6790-0220","authenticated-orcid":false,"given":"Deepika R.","family":"Laddu","sequence":"first","affiliation":[{"name":"Department of Physical Therapy University of Illinois at Chicago Chicago Illinois"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Betsy C.","family":"Wertheim","sequence":"additional","affiliation":[{"name":"University of Arizona 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