Health profiles and socioeconomic characteristics of nonagenarians residing in Mugello, a rural area in Tuscany (Italy)

Cosmo Strozza, Patrizio Pasqualetti, Viviana Egidi, Claudia Loreti, Federica Vannetti, Claudio Macchi, Guglielmo Bonaccorsi, Roberta Boni, Chiara Castagnoli, Francesca Cecchi, Francesca Cesari, Francesco Epifani, Roberta Frandi, Betti Giusti, Maria Luisa Eliana Luisi, Rossella Marcucci, Raffaello Molino-Lova, Anita Paperini, Lorenzo Razzolini, Francesco SofiNona Turcan, Debora Valecchi, Luca Padua

Risultato della ricerca: Contributo in rivistaArticolo in rivista


Background: Health, as defined by the WHO, is a multidimensional concept that includes different aspects. Interest in the health conditions of the oldest-old has increased as a consequence of the phenomenon of population aging. This study investigates whether (1) it is possible to identify health profiles among the oldest-old, taking into account physical, emotional and psychological information about health, and (2) there are demographic and socioeconomic differences among the health profiles. Methods: Latent Class Analysis with covariates was applied to the Mugello Study data to identify health profiles among the 504 nonagenarians residing in the Mugello district (Tuscany, Italy) and to evaluate the association between socioeconomic characteristics and the health profiles resulting from the analysis. Results: This study highlights four groups labeled according to the posterior probability of determining a certain health characteristic: "healthy", "physically healthy with cognitive impairment", "unhealthy", and "severely unhealthy". Some demographic and socioeconomic characteristics were found to be associated with the final groups: older nonagenarians are more likely to be in worse health conditions; men are in general healthier than women; more educated individuals are less likely to be in extremely poor health conditions, while the lowest-educated are more likely to be cognitively impaired; and office or intellectual workers are less likely to be in poor health conditions than are farmers. Conclusions: Considering multiple dimensions of health to determine health profiles among the oldest-old could help to better evaluate their care needs according to their health status.
Lingua originaleEnglish
pagine (da-a)289-N/A
RivistaBMC Geriatrics
Stato di pubblicazionePubblicato - 2020


  • Aged, 80 and over
  • Aging
  • Cognitive Dysfunction
  • Female
  • Health
  • Health Status
  • Health profiles
  • Humans
  • Italy
  • Latent class analysis
  • Male
  • Nonagenarians
  • Oldest-old
  • Socioeconomic Factors
  • Socioeconomic status


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