Department of Public Health and Primary Care, KU Leuven, Kapucijnenvoer 33 bus 7001, B-3000, Leuven, Belgium.
Department of Health Services Research, Care and Public Health Research Institute (CAPHRI), Maastricht University, Maastricht, the Netherlands.
BMC Geriatr. 2019 Dec 10;19(1):346. doi: 10.1186/s12877-019-1369-7.
Many instruments to identify frail older people have been developed. One of the consequences is that the prevalence rates of frailty vary widely dependent on the instrument selected. The aims of this study were 1) to examine the concordances and differences between a unidimensional and multidimensional assessment of frailty, 2) to assess to what extent the characteristics of a 'frail sample' differ depending on the selected frailty measurement because 'being frail' is used in many studies as an inclusion criterion.
A cross-sectional study was conducted among 196 community-dwelling older adults (≥60 years), which were selected from the census records. Unidimensional frailty was operationalized according to the Fried Phenotype (FP) and multidimensional frailty was measured with the Comprehensive Frailty Assessment Instrument (CFAI). The concordances and differences were examined by prevalence, correlations, observed agreement and Kappa values. Differences between sample characteristics (e.g., age, physical activity, life satisfaction) were investigated with ANOVA and Kruskall-Wallis test.
The mean age was 72.74 (SD 8.04) and 48.98% was male. According to the FP 23.59% was not-frail, 56.92% pre-frail and 19.49% frail. According to the CFAI, 44.33% was no-to-low frail, 37.63% was mild frail and 18.04% was high frail. The correlation between FP and the CFAI was r = 0.46 and the observed agreement was 52.85%. The Kappa value was κ = 0.35 (quadratic κ = 0.45). In total, 11.92% of the participants were frail according to both measurements, 7.77% was solely frail according to the FP and 6.21% was solely frail according to the CFAI. The 'frail sample respondents' according to the FP had higher levels of life satisfaction and net income, but performed less physical activities in comparison to high frail people according to the CFAI.
The present study shows that the FP and CFAI partly measure the same 'frailty-construct', although differences were found for instance in the prevalence of frailty and the composition of the 'frail participants'. Since 'being frail' is an inclusion criterion in many studies, researchers must be aware that the choice of the frailty measurement has an impact on both the estimates of frailty prevalence and the characteristics of the selected sample.
已经开发出许多用于识别体弱老年人的工具。其结果之一是,根据所选工具的不同,虚弱的流行率差异很大。本研究的目的是:1)检查一维和多维虚弱评估之间的一致性和差异,2)评估“虚弱样本”的特征在多大程度上取决于所选虚弱测量,因为“虚弱”在许多研究中被用作纳入标准。
在从人口普查记录中选择的 196 名社区居住的老年人(≥60 岁)中进行了横断面研究。根据 Fried 表型(FP)对一维虚弱进行了操作化,根据综合虚弱评估工具(CFAI)对多维虚弱进行了测量。通过流行率,相关性,观察一致性和 Kappa 值来检查一致性和差异。使用方差分析和 Kruskal-Wallis 检验研究了样本特征(例如年龄,身体活动,生活满意度)之间的差异。
平均年龄为 72.74(SD 8.04),48.98%为男性。根据 FP,23.59%为非虚弱,56.92%为虚弱前期,19.49%为虚弱。根据 CFAI,44.33%为非低至轻度虚弱,37.63%为轻度虚弱,18.04%为高度虚弱。FP 与 CFAI 之间的相关性为 r = 0.46,观察一致性为 52.85%。 Kappa 值为κ= 0.35(二次κ= 0.45)。根据这两种测量方法,共有 11.92%的参与者为虚弱,根据 FP 仅 7.77%为虚弱,根据 CFAI 仅 6.21%为虚弱。根据 FP 的“虚弱样本受访者”的生活满意度和净收入较高,但与根据 CFAI 的高虚弱者相比,身体活动较少。
本研究表明,FP 和 CFAI 部分测量了相同的“虚弱结构”,尽管在虚弱的流行率和“虚弱参与者”的组成方面存在差异。由于“虚弱”是许多研究的纳入标准,因此研究人员必须意识到,虚弱测量的选择会对虚弱流行率的估计和所选样本的特征产生影响。