{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,28]],"date-time":"2026-09-28T23:10:27Z","timestamp":1790637027632,"version":"4.1.0"},"reference-count":36,"publisher":"Wiley","issue":"2","license":[{"start":{"date-parts":[[2014,2,27]],"date-time":"2014-02-27T00:00:00Z","timestamp":1393459200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"name":"university grant from Chung Shan Medical University","award":["CSMU-INT-101-08"],"award-info":[{"award-number":["CSMU-INT-101-08"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Geriatrics Gerontology Int"],"published-print":{"date-parts":[[2015,2]]},"abstract":"<jats:sec>\n                    <jats:title>Aim<\/jats:title>\n                    <jats:p>\n                      The present study investigated whether dual\u2010task\n                      <jats:styled-content style=\"fixed-case\">T<\/jats:styled-content>\n                      imed\n                      <jats:styled-content style=\"fixed-case\">U<\/jats:styled-content>\n                      p &amp;\n                      <jats:styled-content style=\"fixed-case\">G<\/jats:styled-content>\n                      o tests (\n                      <jats:styled-content style=\"fixed-case\">TUG<\/jats:styled-content>\n                      ) could identify prefrail individuals more sensitively than the single\u2010task\n                      <jats:styled-content style=\"fixed-case\">TUG<\/jats:styled-content>\n                      (\n                      <jats:styled-content style=\"fixed-case\">TUG<\/jats:styled-content>\n                      <jats:sub>single<\/jats:sub>\n                      ) in community\u2010dwelling middle\u2010aged and older adults.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>\n                      This cross\u2010sectional study recruited adults aged 50\u2009years and older who actively participated in local community programs. Time taken to complete single\u2010task\n                      <jats:styled-content style=\"fixed-case\">TUG<\/jats:styled-content>\n                      and dual\u2010task\n                      <jats:styled-content style=\"fixed-case\">TUG<\/jats:styled-content>\n                      , carrying a cup of water (\n                      <jats:styled-content style=\"fixed-case\">TUG<\/jats:styled-content>\n                      <jats:sub>manual<\/jats:sub>\n                      ) or carrying out serial\u20103 subtraction (\n                      <jats:styled-content style=\"fixed-case\">TUG<\/jats:styled-content>\n                      <jats:sub>cognitive<\/jats:sub>\n                      ) while executing\n                      <jats:styled-content style=\"fixed-case\">TUG<\/jats:styled-content>\n                      , was measured. Prefrailty status was defined based on\n                      <jats:styled-content style=\"fixed-case\">F<\/jats:styled-content>\n                      ried's phenotypic definition.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Of the 65 participants (mean age 71.5\u2009\u00b1\u20098.1\u2009years), 33.3% of the 12 middle\u2010aged (50\u201364\u2009years) and 62.3% of the 53 older (\u226565\u2009years) adults were prefrail, mainly as a result of weak grip strength. The receiver operating characteristic curve analyses for differentiating prefrailty from non\u2010frailty showed that the area under the curve (\n                      <jats:styled-content style=\"fixed-case\">AUC<\/jats:styled-content>\n                      ) for\n                      <jats:styled-content style=\"fixed-case\">TUG<\/jats:styled-content>\n                      <jats:sub>manual<\/jats:sub>\n                      (0.73, 95%\n                      <jats:styled-content style=\"fixed-case\">CI<\/jats:styled-content>\n                      0.60\u20130.86) was better than that for\n                      <jats:styled-content style=\"fixed-case\">TUG<\/jats:styled-content>\n                      <jats:sub>single<\/jats:sub>\n                      (0.67, 95%\n                      <jats:styled-content style=\"fixed-case\">CI<\/jats:styled-content>\n                      0.54\u20130.80), whereas the\n                      <jats:styled-content style=\"fixed-case\">AUC<\/jats:styled-content>\n                      value was not significant for\n                      <jats:styled-content style=\"fixed-case\">TUG<\/jats:styled-content>\n                      <jats:sub>cognitive<\/jats:sub>\n                      (0.60, 95%\n                      <jats:styled-content style=\"fixed-case\">CI<\/jats:styled-content>\n                      0.46\u20130.74). The optimal cut\u2010off points for detecting prefrailty using\n                      <jats:styled-content style=\"fixed-case\">TUG<\/jats:styled-content>\n                      <jats:sub>single<\/jats:sub>\n                      ,\n                      <jats:styled-content style=\"fixed-case\">TUG<\/jats:styled-content>\n                      <jats:sub>manual<\/jats:sub>\n                      and\n                      <jats:styled-content style=\"fixed-case\">TUG<\/jats:styled-content>\n                      <jats:sub>cognitive<\/jats:sub>\n                      were 7.7\u2009s (sensitivity 68%), 8.2\u2009s (sensitivity 83%), and 14.3\u2009s (sensitivity 29%), respectively. After adjusting for age, logistic regression analyses showed that individuals with\n                      <jats:styled-content style=\"fixed-case\">TUG<\/jats:styled-content>\n                      <jats:sub>manual<\/jats:sub>\n                      8.2\u2009s or slower were 7.2\u2010fold more likely to have prefrailty than those with\n                      <jats:styled-content style=\"fixed-case\">TUG<\/jats:styled-content>\n                      <jats:sub>manual<\/jats:sub>\n                      faster than 8.2\u2009s.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>\n                      <jats:styled-content style=\"fixed-case\">TUG<\/jats:styled-content>\n                      <jats:sub>manual<\/jats:sub>\n                      is more valid and sensitive than\n                      <jats:styled-content style=\"fixed-case\">TUG<\/jats:styled-content>\n                      <jats:sub>single<\/jats:sub>\n                      in identifying prefrail individuals. The\n                      <jats:styled-content style=\"fixed-case\">TUG<\/jats:styled-content>\n                      <jats:sub>manual<\/jats:sub>\n                      thus could serve as a screening tool for early detection of individuals with prefrailty in community\u2010dwelling middle\u2010aged and older adults.\n                      <jats:bold>Geriatr Gerontol Int 2015; 15: 204\u2013210.<\/jats:bold>\n                    <\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/ggi.12258","type":"journal-article","created":{"date-parts":[[2014,2,27]],"date-time":"2014-02-27T04:57:27Z","timestamp":1393477047000},"page":"204-210","source":"Crossref","is-referenced-by-count":56,"title":["Motor dual\u2010task\n                    <scp>T<\/scp>\n                    imed\n                    <scp>U<\/scp>\n                    p &amp;\n                    <scp>G<\/scp>\n                    o test better identifies prefrailty individuals than single\u2010task\n                    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