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Psychosocial determinants of frailty trajectories: A multistate analysis of European ageing

  • Agostino Stavolo
  • Giulia Cavrini
  • Viviana Egidi

Frailty is a dynamic and potentially reversible condition of increased vulnerability that often precedes—but remains distinct from—disability. This study examines the progression of frailty among older adults using longitudinal data from the Survey of Health, Ageing and Retirement in Europe (SHARE), Waves 6 to 8 (release 9.0.0), encompassing 29,828 non-institutionalized individuals aged 50 and over from 17 European countries. Frailty was measured using the adapted Fried phenotype by Santos-Eggimann et al. (2013), which includes five indicators: muscle weakness, exhaustion, appetite loss, slowness, and low physical activity. Based on these, individuals were classified as non-frail, pre-frail, or frail. A multistate Markov model was applied to analyze transitions between health states (robustness, pre-frailty, frailty, and death) over time. The analysis included key covariates: perceived loneliness, lack of social activities, gender, education, financial hardship, and European region. Findings underscore the central role of psychosocial factors in shaping aging trajectories. Women demonstrated greater resilience, with lower mortality and improved recovery rates. Higher educational attainment emerged as a protective factor, associated with reduced risk of decline and better survival—highlighting the role of cultural capital. Economic hardship was a strong predictor of frailty onset and mortality. Regional disparities were also observed: individuals in Central and Northern Europe had higher recovery probabilities, while those in Eastern Europe faced greater risks of progression and death. Perceived loneliness significantly increased the likelihood of transitioning to worse health states and reduced chances of recovery. Similarly, social inactivity was associated with a higher risk of deterioration and mortality, especially among frail individuals. These findings highlight how frailty is shaped not only by individual vulnerabilities but also by structural and social determinants. The study offers valuable insights for designing targeted interventions and welfare policies aimed at promoting healthy aging across Europe.

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Agostino Stavolo

University of Naples Federico II, Italy - ORCID: 0000-0001-5890-2195

Giulia Cavrini

Free University of Bozen-Bolzano, Italy - ORCID: 0000-0002-9084-3081

Viviana Egidi

Sapienza University of Rome, Italy - ORCID: 0000-0001-9264-5882

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  • Anno di pubblicazione: 2026
  • Pagine: 393-398

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  • Anno di pubblicazione: 2026

Informazioni sul capitolo

Titolo del capitolo

Psychosocial determinants of frailty trajectories: A multistate analysis of European ageing

Autori

Agostino Stavolo, Giulia Cavrini, Viviana Egidi

Lingua

Inglese

DOI

10.36253/979-12-215-1062-1.68

Opera sottoposta a peer review

Anno di pubblicazione

2026

Copyright

© 2026 Author(s)

Licenza d'uso

CC BY 4.0

Licenza dei metadati

CC0 1.0

Informazioni bibliografiche

Titolo del libro

Data, Statistics and AI for Well-Being of People and Organisations

Curatori

Luigi Fabbris, Alberto Franci, Pietro Renzi

Opera sottoposta a peer review

Numero di pagine

420

Anno di pubblicazione

2026

Copyright

© 2026 Author(s)

Licenza d'uso

CC BY 4.0

Licenza dei metadati

CC0 1.0

Editore

Firenze University Press

DOI

10.36253/979-12-215-1062-1

ISBN Print

979-12-215-1061-4

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979-12-215-1062-1

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979-12-215-1063-8

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