衰弱的患病率以及与衰弱表型和衰弱指数相关的因素：来自阿德莱德西北健康研究的结果。
Frailty prevalence and factors associated with the Frailty Phenotype and Frailty Index: Findings from the North West Adelaide Health Study.
作者信息
Thompson Mark Q, Theou Olga, Yu Solomon, Adams Robert J, Tucker Graeme R, Visvanathan Renuka
机构信息
National Health and Medical Research Council (NHMRC) Centre of Research Excellence: Frailty and Healthy Ageing, University of Adelaide, Adelaide, South Australia, Australia.
Faculty of Health and Medical Sciences, Adelaide Geriatrics Training and Research with Aged Care (G-TRAC) Centre, Adelaide Medical School, University of Adelaide, Adelaide, South Australia, Australia.
出版信息
Australas J Ageing. 2018 Jun;37(2):120-126. doi: 10.1111/ajag.12487. Epub 2017 Oct 4.
OBJECTIVE
To determine the prevalence of frailty and associated factors in the North West Adelaide Health Study (2004-2006) using the Frailty Phenotype (FP) and Frailty Index (FI).
METHODS
Frailty was measured in 909 community-dwelling participants aged ≥65 years using the FP and FI.
RESULTS
The FP classified 18% of participants as frail and the FI 48%. The measures were strongly correlated (r = 0.76, P < 0.001) and had a kappa agreement of 0.38 for frailty classification, with 37% of participants classified as non-frail by the FP being classified as frail by the FI. Being older, a current smoker, and having multimorbidity and polypharmacy were associated with higher frailty levels by both tools. Female, low income, obesity and living alone were associated with the FI.
CONCLUSION
Frailty prevalence was higher when assessed using the FI. Socioeconomic factors and other health determinants contribute to higher frailty levels.
目的
在西北阿德莱德健康研究（2004 - 2006年）中，使用衰弱表型（FP）和衰弱指数（FI）确定衰弱的患病率及相关因素。
方法
使用FP和FI对909名年龄≥65岁的社区居住参与者进行衰弱测量。
结果
FP将18%的参与者分类为衰弱，FI将48%的参与者分类为衰弱。这两种测量方法高度相关（r = 0.76，P < 0.001），在衰弱分类方面kappa一致性为0.38，FP分类为非衰弱的参与者中有37%被FI分类为衰弱。年龄较大、当前吸烟者、患有多种疾病和使用多种药物与两种工具测量的较高衰弱水平相关。女性、低收入、肥胖和独居与FI相关。
结论
使用FI评估时，衰弱患病率更高。社会经济因素和其他健康决定因素导致更高的衰弱水平。
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