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Associations of stages with time to first hospitalization and time to recurrent hospitalizations within a year were assessed with Cox proportional hazards models, with which we accounted for baseline sociodemographics, smoking status, comorbidities, and the year of survey entry.<\/jats:p><\/jats:sec><jats:sec><jats:title>Main Outcomes<\/jats:title><jats:p>Time to first hospitalization and time to recurrent hospitalizations within 1 year.<\/jats:p><\/jats:sec><jats:sec><jats:title>Principle Findings<\/jats:title><jats:p>The adjusted risk of first hospitalization increased with greater activity limitation stages (except stage III). The hazard ratios (95% confidence intervals) for ADL stages I\u2010IV compared with stage 0 (no limitations) were 1.49 (1.36\u20101.63), 1.61 (1.44\u20101.80), 1.54 (1.35\u20101.76), and 2.06 (1.61\u20102.63), respectively. The pattern for IADL stages was similar. For recurrent hospitalizations, activity limitation stages were associated with the risk of the first hospitalization but not with subsequent hospitalizations.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>Activity limitation stages are associated with the risk of first hospitalization in the subsequent year among elderly Medicare beneficiaries. Stages capture clinically interpretable profiles of ADL and IADL functionality and describe preserved functions and activity limitation in an aggregated measure. Stage can inform interventions to ameliorate disability and thus reduce the risk of a subsequent hospitalization in this population.<\/jats:p><\/jats:sec><jats:sec><jats:title>Level of Evidence<\/jats:title><jats:p>IV<\/jats:p><\/jats:sec>","DOI":"10.1016\/j.pmrj.2016.09.008","type":"journal-article","created":{"date-parts":[[2016,9,21]],"date-time":"2016-09-21T20:22:11Z","timestamp":1474489331000},"page":"433-443","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":20,"title":["Activity Limitation Stages Are Associated With Risk of Hospitalization Among Medicare Beneficiaries"],"prefix":"10.1002","volume":"9","author":[{"given":"Ling","family":"Na","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qiang","family":"Pan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dawei","family":"Xie","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jibby E.","family":"Kurichi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Joel E.","family":"Streim","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hillary R.","family":"Bogner","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Debra","family":"Saliba","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sean","family":"Hennessy","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2016,9,21]]},"reference":[{"key":"e_1_2_9_2_2","doi-asserted-by":"publisher","DOI":"10.1001\/jamainternmed.2014.7756"},{"key":"e_1_2_9_3_2","doi-asserted-by":"publisher","DOI":"10.1053\/apmr.2002.34811"},{"key":"e_1_2_9_4_2","doi-asserted-by":"publisher","DOI":"10.1177\/107755870005700301"},{"key":"e_1_2_9_5_2","volume-title":"Older Americans 2012: Key indicators of well\u2010being","author":"Federal Interagency Forum on Aging\u2010Related Statistics","year":"2012"},{"key":"e_1_2_9_6_2","doi-asserted-by":"publisher","DOI":"10.1111\/j.1532-5415.2012.03926.x"},{"key":"e_1_2_9_7_2","doi-asserted-by":"publisher","DOI":"10.1093\/geront\/gns103"},{"key":"e_1_2_9_8_2","unstructured":"Ortman JM Velkoff VA Hogan H. 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