Susanna Gentili

Susanna Gentili

Postdoctoral Researcher
Visiting address: Tomtebodavägen 18 A, 17165 Solna
Postal address: H1 Neurobiologi, vårdvetenskap och samhälle, H1 ARC Medicin Vetrano, 171 77 Stockholm

About me

  • Susanna Gentili is a postdoctoral fellow at the Ageing Research Center (ARC), Karolinska Institutet, Sweden. She is a registered nurse with a master’s degree in Nursing Science (2019) and a PhD in Nursing and Public Health (2022) from the University of Rome Tor Vergata, Italy.

    Her research focuses on the epidemiology of aging, with a particular interest in how older adults interact with the healthcare system, specifically patterns of hospitalization, institutionalization, and mortality. She works with large longitudinal population-based studies and national health registers to understand how health trajectories evolve in late life.

    Susanna is currently involved in the project “Trajectories of care needs and care transitions after age 60: the interaction between individuals' frailty, their environment, and personal perspectives, ” where she investigates how frailty and contextual factors shape care pathways in older adults.

Research

  • Susanna’s research focuses on understanding the complex processes of aging through population-based epidemiology and longitudinal data. Her main interests include:

    • Epidemiology of aging: determinants and trajectories of health, functional decline, and frailty in later life.
    • Long-term care and care transitions: pathways into and through long-term care services, predictors of institutionalization, and the interplay between frailty, social environment, and care needs.
    • Healthcare use in older adults: patterns of hospitalization, institutionalization, and end‑of‑life healthcare pathways.
    • Longitudinal modeling of aging processes: multistate models, growth curve models, group-based trajectory modeling, latent class approaches, and joint models to capture heterogeneity in aging.
    • Frailty and its interaction with the environment: how social, structural, and contextual factors shape vulnerability and care needs in older adults.
    • Population-based cohort and registry data: integration of survey-based studies with national administrative data to study long-term health outcomes.

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