id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-278423-tluo3ztc	Strozza, Cosmo	Health profiles and socioeconomic characteristics of nonagenarians residing in Mugello, a rural area in Tuscany (Italy)	2020-08-15		.txt	text/plain	5753	292	51	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". To capture the heterogeneity of health status and evaluate the social disparities among individuals, researchers suggest the use of latent class analysis (LCA) as a person-centered approach [11] [12] [13] . To capture the heterogeneity of the health status among the oldest-old individuals, we supposed that Mugello's nonagenarians could belong to unobserved or latent classes according to their health characteristics.	./cache/cord-278423-tluo3ztc.txt	./txt/cord-278423-tluo3ztc.txt