{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,8]],"date-time":"2026-10-08T14:54:47Z","timestamp":1791471287457,"version":"4.3.4"},"reference-count":41,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2019,8,22]],"date-time":"2019-08-22T00:00:00Z","timestamp":1566432000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100007312","name":"National Center for Geriatrics and Gerontology","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100007312","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003478","name":"Ministry of Health, Labour and Welfare","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100003478","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["J cachexia sarcopenia muscle"],"published-print":{"date-parts":[[2020,2]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Background<\/jats:title><jats:p>Bioelectrical impedance analysis (BIA)\u2010derived phase angle is expected to be an efficient prognostic marker of health adverse events with aging as an alternative of muscle mass. We aimed to examine the predictive ability of phase angle for incident disability in community\u2010dwelling elderly and determine the optimal cut\u2010off values.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>Community\u2010dwelling elderly aged \u226565 years (<jats:italic>n<\/jats:italic> = 4452; mean age = 71.8 \u00b1 5.3 years, 48.3% women) without disability at baseline participated in this prospective cohort study. Phase angle and appendicular skeletal muscle mass (ASM) were examined using a multi\u2010frequency BIA at baseline. Other potential confounding factors (demographics, cognitive function, depressive symptoms, medications, and physical performance) were also assessed. Incident disability was monitored on the basis of long\u2010term care insurance certification.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Over a follow\u2010up of 24 months, 4.0% (<jats:italic>n<\/jats:italic> = 174) experienced disability, with an overall incidence rate of 20.6 per 1000 person\u2010years. The Cox hazard regression analysis showed that phase angle, as a continuous variable, was independently associated with incident disability after adjusting the covariates [male: hazard ratios (HRs) = 0.61, 95% confidence interval (CI) = 0.37\u20130.98; female: HR = 0.58, 95% CI = 0.37\u20130.90], although body mass index adjusted ASM was not. Receiver operating characteristic analysis indicated moderate predictive abilities of phase angle for incident disability [male: area under the receiver operating characteristic curve (AUC) = 0.76, 95% CI = 0.70\u20130.83; female: AUC = 0.71, 95% CI = 0.65\u20130.76], while those of body mass index adjusted ASM were low (male: AUC = 0.59, 95% CI = 0.521\u20130.66; female: AUC = 0.58, 95% CI = 0.52\u20130.63). Multivariate Cox regression analysis showed that low phase angle categorized by cut\u2010off value (male, \u22644.95\u00b0; female, \u22644.35\u00b0) was independently related to increased risk of incident disability (HR = 1.95, 95% CI = 1.37\u20132.78).<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>Lower phase angle independently predicts the incident disability separately from known risk factors. BIA\u2010derived phase angle can be used as a valuable and simple prognostic tool to identify the elderly at risk of disability as targets of preventive treatment.<\/jats:p><\/jats:sec>","DOI":"10.1002\/jcsm.12492","type":"journal-article","created":{"date-parts":[[2019,8,22]],"date-time":"2019-08-22T12:06:57Z","timestamp":1566475617000},"page":"46-54","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":93,"title":["Predictivity of bioimpedance phase angle for incident disability in older adults"],"prefix":"10.1002","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1101-3424","authenticated-orcid":false,"given":"Kazuki","family":"Uemura","sequence":"first","affiliation":[{"name":"Center for Liberal Arts and Sciences, Faculty of Engineering Toyama Prefectural University  Imizu Japan"},{"name":"Department of Preventive Gerontology, Center for Gerontology and Social Science National Center for Geriatrics and 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