The accumulation of deficits approach to describe frailty

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-l...

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Vydané v:PloS one Ročník 14; číslo 10; s. e0223449
Hlavní autori: Lachmann, Raskit, Stelmach-Mardas, Marta, Bergmann, Manuela M., Bernigau, Wolfgang, Weber, Daniela, Pischon, Tobias, Boeing, Heiner
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: United States Public Library of Science 15.10.2019
Public Library of Science (PLoS)
Predmet:
Accumulation
Age
Age Distribution
Aged
Aged, 80 and over
Aging
Aging (Biology)
Bioindicators
Biology and Life Sciences
Biomarkers
C-reactive protein
Cancer
Cancer research
Disability
Domains
Drinking (Alcoholic beverages)
Epidemiology
Exercise
Female
Frail Elderly
Frailty
Genotype & phenotype
Health
Health aspects
Health promotion
Humans
Longitudinal studies
Male
Mathematical analysis
Medicine and Health Sciences
Mortality
Nutrition
Older people
Oxygen consumption
People and Places
Physical fitness
Polynomials
Population studies
Questionnaires
Regression analysis
Smoking
Germany
ISSN:1932-6203, 1932-6203
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Popis
Shrnutí: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.
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Competing Interests: The authors have declared that no competing interests exist.
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0223449