中山醫學大學機構典藏 CSMUIR:Item 310902500/24610
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    题名: Development of Taiwan Risk Score for Sarcopenia (TRSS) for Sarcopenia Screening among Community-Dwelling Older Adults
    作者: Tseng, TG;Lu, CK;Hsiao, YH;Pan, SC;Tai, CJ;Lee, MC
    关键词: body composition;handgrip;SARC-F;sarcopenia
    日期: 2020
    上传时间: 2022-08-09T08:05:09Z (UTC)
    出版者: MDPI
    摘要: The SARC-F questionnaire has been suggested by the European Working Group on Sarcopenia in Older People (EWGSOP) as a first-step screening tool for sarcopenia. However, the sensitivity to SARC-F is low among community-dwelling older adults. Therefore, this study aimed to develop a new prediction model for sarcopenia screening in the community setting. We conducted a cross-sectional analysis of data from the Taiwan Integration of Health and Welfare (TIHW) study. Covariates including comorbidities, socioeconomic status, social support, health behaviors, body composition, and serum biomarkers were collected for analysis. Sarcopenia was defined using handgrip strength and gait speed cut-off values suggested by the Asian Working Group for Sarcopenia. Risk scores for sarcopenia were estimated by stepwise logistic regression. Among 1025 participants (mean age, 71.95 +/- 6.89 years), 179 (17.5%) had sarcopenia. Seven items, including age, female sex, receiving social assistance pension, absence of exercise, being underweight, abnormal fasting glucose levels, and abnormal creatinine levels were selected for the Taiwan Risk Scores for Sarcopenia (TRSS) with a cutoff value of 76 (sensitivity, 71.8%; specificity, 71.1%) and area under the curve (AUC) of 0.757. Our results suggested that the TRSS model could be applied cost-effectively in the community for early detection of sarcopenia.
    URI: http://dx.doi.org/10.3390/ijerph17082859
    https://www.webofscience.com/wos/woscc/full-record/WOS:000535744100244
    https://ir.csmu.edu.tw:8080/handle/310902500/24610
    關聯: INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH ,2020 ,v17 ,issue 8
    显示于类别:[中山醫學大學研究成果] 期刊論文

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