Cross-sectional analysis reveals significant social factors, such as loneliness and engagement, influence frailty in older adults across Europe.
Background Using data from the Survey of Health, Ageing, and Retirement in Europe (SHARE), this study aims to examine the prevalence and progression of frailty among older adults across Europe, explore regional disparities, and identify key sociodemographic and social factors, such as loneliness, social engagement, and family support, associated with frailty status. Methods A cross-sectional analysis of SHARE data from Waves 6 and 8 (release 9.0.0) was conducted, including non-institutionalised individuals aged 50 or older at both time points, across 17 European countries. Frailty was operationalised using variables defined by Santos-Eggimann (muscle weakness, exhaustion, unintentional weight loss, slowness, and low physical activity). One point was assigned for each criterion met, and participants were categorised as: Non-frail (0 points), Pre-frail (1-2 points), Frail (3-5 points). Adjusted Multilevel Multinomial Logistic regression models were then estimated for the frail and pre-frail groups, using the non-frail group as the reference category, to identify the explanatory factors that underlie individual and country-level effects, focusing on welfare characteristics as a country-level predictor of frailty. Results Significant differences in frailty prevalence were observed across countries. Multilevel multinomial logistic regression indicated that approximately 20% of the variability in frailty prevalence could be attributed to differences at the national level. Frailty and pre-frailty were more common among older adults, women, and individuals with lower educational attainment. Perceived loneliness and limited participation in social activities emerged as the most significant social variables associated with frailty. Notably, the poverty index accounted for about 8% of this between-country variability. Conclusion Our findings reveal substantial variability in frailty prevalence across European countries, where significantly higher rates of frailty and pre-frailty are observed in Southern Europe. These geographic disparities suggest that psychosocial and cultural factors, along with the structure and strength of national welfare characteristics, may play a critical role in influencing frailty outcomes.
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Stavolo et al. (2025) studied this question.
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