| Project/Area Number |
15K16518
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Multi-year Fund |
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| Research Field |
Applied health science
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| Research Institution | Fukushima Medical University |
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Principal Investigator |
KURITA noriaki 福島県立医科大学, 公私立大学の部局等, 准教授 (80736976)
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| Research Collaborator |
WAKITA takafumi 関西大学, 社会学部, 教授 (60456861)
MIZUNO kiyonori (40418778)
KAMITANI tsukasa 京都大学, 医学研究科, 特定助教 (30816377)
WADA osamu
SHINTANI ayumi 大阪市立大学, 大学院医学研究科, 教授 (00724395)
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| Project Period (FY) |
2015-04-01 – 2019-03-31
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| Project Status |
Completed (Fiscal Year 2018)
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| Budget Amount *help |
¥4,030,000 (Direct Cost: ¥3,100,000、Indirect Cost: ¥930,000)
Fiscal Year 2017: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2016: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2015: ¥2,470,000 (Direct Cost: ¥1,900,000、Indirect Cost: ¥570,000)
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| Keywords | サルコペニア / クレアチンキナーゼ / 問診法 / SARC-F / スクリーニング法 / 診断精度 / 臨床疫学 / SARC-F+EBM / 予測ツール / フレイル / 加齢・老化 |
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| Outline of Final Research Achievements |
Purpose of this study was to develop tools predicting frailty or sarcopenia among community-dwelling elderly for local administration settings. In study (1), we showed that SARC-F questionnaire, a simple screening tool for sarcopenia, had suboptimal sensitivity and specificity to diagnose sarcopenia. On the one hand, we were able to develop “SARC-F+EBM” diagnostic method, which has reasonable sensitivity and area under the receiver operating characteristic curve for sarcopenia screening. In study (2), we were able to develop 17 self-reported items asking function in daily life and perception on body composition and showed that some of the items had high specificities and positive likelihood ratios for diagnosing sarcopenia.
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| Academic Significance and Societal Importance of the Research Achievements |
国内外で使われているSARC-F質問票に、簡便な情報を加えた(年齢およびBMI)"SARC-F+EBM"診断法は、地域行政におけるサルコペニアの予測支援ツールとして導入・普及が容易であり、地域住民の健康寿命延伸と臨床研究の推進に貢献できる。さらに、17項目のオリジナル質問も、地域行政においても容易に聴取可能な質問で構成されるため、サルコペニアの予測支援ツールとして導入・普及が期待できる。
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