TY  -  JOUR
AU  -  Caselli, Graziella
AU  -  Battaglini, Marco
AU  -  Capacci, Giorgia
AU  -  Lipsi, Rosa Maria
T1  -  Geographical differences (by cohort) in longevity and gender gap among Italian semi-supercentenarians
PY  -  2021
Y1  -  2021-05-01
DO  -  10.1723/3600.35811
JO  -  The Italian Journal of Gender-Specific Medicine
JA  -  Ital J Gender-Specific Med
VL  -  7
IS  -  2
SP  -  75
EP  -  85
PB  -  Il Pensiero Scientifico Editore
SN  -  2612-3487
Y2  -  2026/05/04
UR  -  http://dx.doi.org/10.1723/3600.35811
N2  -  Summary. Objectives. To analyze the geography of the Italian semi-supercentenarians (people who lived past the age of 105), in order to highlight a relation between demographics and the differences that can be observed in longevity and gender gap. Methods. Collection and validation of Istat Semi-SuperCentenarian (SSC) Survey data at regional level for the period 2009-2019. A methodological analysis of the trajectories that led the subjects born in one Region to live or die in another. In our analysis, we apply two indicators: the ratio of the number of semi-supercentenarians to the number in the birth cohort of the same ones by gender and the ratio of the number of semi-supercentenarians to the number of survivors at the age of 60. Results. 
The dynamics of the semi-supercentenarians’ ‘migratory flows’ from the Region of birth to the Region of current residence underlined the Region’s capacity to expel or attract them. The most significant quota of semi-supercentenarians is located in the Region where they were born, with a maximum in the North and a minimum in the South; for the gender gap there is a minimum in the Southern and a maximum in the Northern Regions, due to the lower level of male semi-supercentenarian rate. Discussion. Our analysis highlighted the role of the lower mortality in the old ages found among Southern men in determining the geographical differences observed. Considering the individual characteristics detected by the SSC Survey and some contextual variables of the place of residence, in the following paper we try to give some explanations by applying statistical models, at both aggregated and individual level.
ER  -