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用累积缺陷方法来描述衰弱。

The accumulation of deficits approach to describe frailty.

机构信息

Department of Epidemiology, German Institute of Human Nutrition, Potsdam-Rehbruecke, Germany.

Department of Biophysics, Poznan University of Medical Sciences, Poznan, Poland.

出版信息

PLoS One. 2019 Oct 15;14(10):e0223449. doi: 10.1371/journal.pone.0223449. eCollection 2019.

Abstract

The advancing age of the participants of the European Prospective Investigation into Cancer and Nutrition (EPIC)-Potsdam study was the incentive to investigate frailty as a major parameter of ageing. The aim of this study was to develop a multidimensional tool to measure frailty in an ageing, free-living study population. The "accumulation of deficits approach" was used to develop a frailty index (FI) to characterize a sub-sample (N = 815) of the EPIC-Potsdam (EPIC-P) study population regarding the aging phenomenon. The EPIC-P frailty index (EPIC-P-FI) included 32 variables from the following domains: health, physical ability, psychosocial and physiological aspects. P-values were calculated for the linear trend between sociodemographic and life style variables and the EPIC-P-FI was calculated using regression analysis adjusted for age. The relationship between the EPIC-P-FI and age was investigated using fractional polynomials. Some characteristics such as age, education, time spent watching TV, cycling and a biomarker of inflammation (C-reactive protein) were associated with frailty in men and women. Interestingly, living alone, having no partner and smoking status were only associated with frailty in men, and alcohol use and physical fitness (VO2max) only in women. The generated, multidimensional FI, adapted to the EPIC-P study, showed that this cohort is a valuable source for further exploration of factors that promote healthy ageing.

摘要

欧洲癌症前瞻性调查和营养研究(EPIC)-波茨坦研究参与者的年龄增长促使我们将脆弱性作为衰老的主要参数进行研究。本研究旨在开发一种多维工具,以衡量衰老、自由生活的研究人群中的脆弱性。采用“累积缺陷方法”来开发一个脆弱性指数(FI),以描述 EPIC-Potsdam(EPIC-P)研究人群中的一个亚样本(N=815)的衰老现象。EPIC-P 脆弱性指数(EPIC-P-FI)包括来自以下领域的 32 个变量:健康、身体能力、心理社会和生理方面。使用回归分析计算了社会人口统计学和生活方式变量与 EPIC-P-FI 之间的线性趋势的 P 值,并根据年龄进行了调整。使用分数多项式研究了 EPIC-P-FI 与年龄之间的关系。一些特征,如年龄、教育程度、看电视时间、骑自行车和炎症生物标志物(C 反应蛋白)与男性和女性的脆弱性有关。有趣的是,独居、没有伴侣和吸烟状况仅与男性的脆弱性有关,而饮酒和体能(VO2max)仅与女性的脆弱性有关。生成的、多维的 FI 适用于 EPIC-P 研究,表明该队列是进一步探索促进健康衰老因素的有价值的资源。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/507a/6793873/08c144b92fe2/pone.0223449.g001.jpg

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