(Open access funding provided by Semmelweis University)
Comparative frailty prevalence data across European countries is sparse due to heterogeneous
measurement methods. The Survey of Health, Ageing and Retirement (SHARE) initiative
conducted interviews with probability sampling of non-institutionalized elderly people
in several European countries. Previous frailty analyses of SHARE datasets were limited
to initial SHARE countries and did not provide age- and gender-stratified frailty
prevalence. Our aim was to provide age- and gender-stratified frailty prevalence estimates
in all European countries, with predictions where necessary. From 29 SHARE participating
countries, 311,915 individual surveys were analyzed. Frailty prevalence was estimated
by country and gender in 5-year age bands using the SHARE Frailty Instrument and a
frailty index. Association of frailty prevalence with age, gender, and GDP per capita
(country-specific economic indicator for predictions) was investigated in multivariate
mixed logistic regression models with or without multiple imputation. Female gender
and increasing age were significantly associated with higher frailty prevalence. Higher
GDP per capita, with or without purchasing power parity adjustment, was significantly
associated with lower frailty prevalence in the 65-79 age groups in all analyses.
Observed and predicted data on frailty rates by country are provided in the interactive
SHARE Frailty Atlas for Europe. Our study provides age- and gender-stratified frailty
prevalence estimates for all European countries, revealing remarkable between-country
heterogeneity. Higher frailty prevalence is strongly associated with lower GDP per
capita, underlining the importance of investigating transferability of evidence across
countries at different developmental levels and calling for improved policies to reduce
inequity in risk of developing frailty across European countries.