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Inter-relationships between Gender, Frailty and 10-Year Survival in Older Italian Adults: an observational longitudinal study.


ABSTRACT: Aim of the present study was to assess the impact of gender on the relationship between long-term mortality and clinical frailty. In an observational, longitudinal study on 10-year mortality, we examined 1284 subjects. The Frailty Staging System was used to assess frailty. The Cox model was employed to assess variables independently associated with survival using a backward stepwise algorithm. To investigate the possible interactions between gender and the selected variables, an extension of the multivariable fractional polynomial algorithm was adopted. Women were more likely to be older, have a higher disability, present with more comorbidities, consume more drugs, be frail and have a higher rate of survival at the follow-up than were men. At the Cox multivariate analysis only age (HR 2.26), female gender (HR 0.43), and number of drugs (HR 1.57) were significant and independent factors associated with all-cause mortality. In the survival analyses, only frailty (vs no frailty) showed significant interaction with gender (p?

SUBMITTER: Corbi G 

PROVIDER: S-EPMC6895198 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature

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Inter-relationships between Gender, Frailty and 10-Year Survival in Older Italian Adults: an observational longitudinal study.

Corbi Graziamaria G   Cacciatore Francesco F   Komici Klara K   Rengo Giuseppe G   Vitale Dino Franco DF   Furgi Giuseppe G   Pagano Gennaro G   Bencivenga Leonardo L   Davinelli Sergio S   Ferrara Nicola N  

Scientific reports 20191205 1


Aim of the present study was to assess the impact of gender on the relationship between long-term mortality and clinical frailty. In an observational, longitudinal study on 10-year mortality, we examined 1284 subjects. The Frailty Staging System was used to assess frailty. The Cox model was employed to assess variables independently associated with survival using a backward stepwise algorithm. To investigate the possible interactions between gender and the selected variables, an extension of the  ...[more]

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