{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,30]],"date-time":"2026-01-30T09:32:29Z","timestamp":1769765549422,"version":"3.49.0"},"reference-count":40,"publisher":"Wiley","issue":"5","license":[{"start":{"date-parts":[[2024,10,21]],"date-time":"2024-10-21T00:00:00Z","timestamp":1729468800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Evaluation Clinical Practice"],"published-print":{"date-parts":[[2025,8]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Rationale<\/jats:title><jats:p>Exercise capacity declines with age. However, the effect of common geriatric symptoms, that are related to physical performance, on exercise capacity is unclear.<\/jats:p><\/jats:sec><jats:sec><jats:title>Aims<\/jats:title><jats:p>The study aimed to determine the impacts of sarcopenia, frailty, balance, and depression on both overall and abnormal exercise capacity.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>One hundred and nineteen community\u2010dwelling older adults over 65 years of age were included in the cross\u2010sectional study. Sarcopenia and frailty status were determined according to the \u201cEuropean Working Group on Sarcopenia in Older People2\u201d and \u201cFried frailty criteria\u201d, respectively. Exercise capacity, balance and depression were assessed with the 6\u2010min walk test (6MWT), the Timed Up and Go Test (TUG) and the Geriatric Depression Scale (GDS), respectively.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Of the participants, 5% were sarcopenic, 32.8% were frail, and 29.4% had abnormal exercise capacity (6MWT\u2009&lt;\u200982% pred). According to multivariate linear regression analysis, the model consisting of sarcopenia, frailty, TUG and GDS was explained 53% of the variation in 6MWT (R\u2009=\u20090.73, R<jats:sup>2<\/jats:sup>\u2009=\u20090.53, <jats:italic>p<\/jats:italic>\u2009&lt;\u20090.001), and all variables except GDS were independent predictors of exercise capacity (<jats:italic>p<\/jats:italic>\u2009&lt;\u20090.05). Sarcopenia was the strongest predictor of 6MWT (\u03b2 =\u221279.76, <jats:italic>p<\/jats:italic>\u2009=\u20090.011). The model including sarcopenia, TUG, frailty, and GDS provided 29% prediction of abnormal exercise capacity (Nagelkerke R<jats:sup>2<\/jats:sup>\u2009=\u200929.7, <jats:italic>p<\/jats:italic>\u2009&lt;\u20090.001), while TUG was the sole significant predictor in the model (Odd Ratio:1.32, <jats:italic>p<\/jats:italic>\u2009&lt;\u20090.002), according to logistic regression analysis.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>This study indicates that changes in exercise capacity are more influenced by the presence of sarcopenia, and that poor TUG performance is the greatest risk factor for the impaired exercise capacity.<\/jats:p><\/jats:sec>","DOI":"10.1111\/jep.14197","type":"journal-article","created":{"date-parts":[[2024,10,21]],"date-time":"2024-10-21T06:42:20Z","timestamp":1729492940000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Determination of factors affecting 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Turkey"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fazil","family":"Kulakli","sequence":"additional","affiliation":[{"name":"Department of Physical Medicine and Rehabilitation Giresun University Faculty of Medicine Giresun 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