title: Centenarians in Tuscany: The role of the environmental factors.
abstract: Statistical data of Italy, issued on 1st January 2005, show that Tuscany has a high percentage of elderly subjects, and that to reach 100 years is a common possibility, mainly for women. Comparable values appear for longevity index (LI%), either calculated on the basis of the various resorts above sea level, or on the basis of the number of inhabitants. However, some differences are observed considering the various provinces: Grosseto Province has the second higher value of >65-year-old subjects, while its LI% is the lowest. Centenarity index (CI%) considerably differs from LI%: if ranking Tuscany according to the various heights of territorial positions, the first displays a negative, while the second one shows a positive correlation with the local height. If comparing for inhabitants number, CI% is maximal in provincial cities, while LI% is higher in smaller communities. All these data indicate that residents in small communities of the mountains reach easily 90 years, while 100 years are more frequently reached in larger cities in the plane areas. In conclusion, the highest province longevity (Lucca) coincides with the highest centenarian sex ratio, and it suggests that in this province the older women may enjoy particular forms of environmental protection, which helps them for reaching 100 years of age. Differences between the results of this study and others performed in Sardinia are discussed.
authors: Geriatrics Unit, USL, Piazza dell'Ospedale, Prato, Italy.
authors: S U
authors: SU
authors: Magnolfi
authors: I
authors: I
authors: Noferi
authors: E
authors: E
authors: Petruzzi
authors: P
authors: P
authors: Pinzani
authors: F
authors: F
authors: Malentacchi
authors: M
authors: M
authors: Pazzagli
authors: F M
authors: FM
authors: Antonini
authors: N
authors: N
authors: Marchionni
mesh_terms: D000369:Aged, 80 and over / Q000706:statistics & numerical data*; D000531:Altitude; D016000:Cluster Analysis; D004641:Emigration and Immigration / Q000706:statistics & numerical data; D005260:Female; D006801:Humans; D007558:Italy / Q000453:epidemiology; D008297:Male; D017678:Sex Distribution