Park DaSol
Department of Occupational Therapy, Kyungnam University, Changwon, Republic of Korea.
Inquiry. 2025 Jan-Dec;62:469580251363877. doi: 10.1177/00469580251363877. Epub 2025 Aug 8.
This study aimed to compare 3 commonly used frailty assessment tools to examine their agreement and classification discrepancies, with the goal of informing more accurate frailty screening and personalized intervention planning in older adults. I analyzed data from the Korean Frailty and Aging Cohort Study (KFACS), a nationally representative dataset, including 3011 community-dwelling older adults aged 70 to 84 years. The CHS Frailty Index, Korean version of the FRAIL scale, and Korean Frailty Index were used. Participants' general health-related characteristics were also collected. Descriptive statistics and Pearson correlation analyses were conducted to evaluate the relationships between the tools. Missing data were excluded. All 3 tools successfully classified individuals as robust, pre-frail, or frail. The strongest correlation was observed between the CHS Frailty Index and the Korean FRAIL scale (r = .565), while the weakest correlation was found between the Korean FRAIL scale and Korean Frailty Index (r = .427). Although the tools showed significant associations, discrepancies in frailty classification across tools were identified. The findings suggest that while all 3 tools are appropriate for assessing frailty, differences in classification thresholds imply that tool selection should consider the health profile and the context in which screening occurs. The findings indicate that while all 3 tools are valid, differences in classification thresholds suggest that the choice of tool should depend on the screening context. Complementary use may enhance frailty identification and guide individualized care.
本研究旨在比较3种常用的衰弱评估工具,以检验它们之间的一致性和分类差异,目的是为更准确的衰弱筛查及老年人个性化干预计划提供依据。我分析了来自韩国衰弱与老龄化队列研究(KFACS)的数据,这是一个具有全国代表性的数据集,包括3011名年龄在70至84岁之间的社区居住老年人。使用了衰弱综合征表型评分(CHS)衰弱指数、FRAIL量表韩语版和韩国衰弱指数。还收集了参与者与总体健康相关的特征。进行描述性统计和Pearson相关性分析以评估这些工具之间的关系。排除缺失数据。所有3种工具都成功地将个体分类为健壮、衰弱前期或衰弱。CHS衰弱指数与韩国FRAIL量表之间的相关性最强(r = 0.565),而韩国FRAIL量表与韩国衰弱指数之间的相关性最弱(r = 0.427)。尽管这些工具显示出显著的相关性,但仍发现了工具之间在衰弱分类上的差异。研究结果表明,虽然所有3种工具都适用于评估衰弱,但分类阈值的差异意味着工具的选择应考虑健康状况和筛查的背景。研究结果表明,虽然所有3种工具都是有效的,但分类阈值的差异表明工具的选择应取决于筛查背景。互补使用可能会提高衰弱识别率并指导个性化护理。
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