Department of Family Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung 80708, Taiwan.
Department of Orthopaedics, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung 80708, Taiwan.
Int J Environ Res Public Health. 2020 Apr 21;17(8):2859. doi: 10.3390/ijerph17082859.
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.
SARC-F 问卷是由欧洲老年人肌肉减少症工作组（EWGSOP）提出的一种用于肌肉减少症初筛的工具。然而，它对社区老年人的肌肉减少症的敏感性较低。因此，本研究旨在为社区环境中的肌肉减少症筛查开发一种新的预测模型。我们对来自台湾健康与福利整合研究（TIHW）的数据进行了横断面分析。共收集了合并症、社会经济地位、社会支持、健康行为、身体成分和血清生物标志物等协变量进行分析。肌肉减少症的定义是使用亚洲肌肉减少症工作组建议的握力和步速截断值。通过逐步逻辑回归估计肌肉减少症风险评分。在 1025 名参与者（平均年龄 71.95±6.89 岁）中，179 人（17.5%）患有肌肉减少症。TRSS 包含 7 个项目，包括年龄、女性、领取社会援助养老金、缺乏运动、体重过轻、空腹血糖异常和肌酐水平异常，截断值为 76，敏感性为 71.8%，特异性为 71.1%，曲线下面积（AUC）为 0.757。我们的研究结果表明，TRSS 模型可在社区中以较低的成本有效应用于早期发现肌肉减少症。
