Longevity pattern in the Italian region of Emilia Romagna: a dynamic perspective
| Autor: | Giulia Roli, Rossella Rettaroli, Rossella Miglio, Alessandra Samoggia |
|---|---|
| Přispěvatelé: | Roli G., Samoggia A., Miglio R., Rettaroli R. |
| Rok vydání: | 2012 |
| Předmět: |
Male
Health (social science) Centenarian rate media_common.quotation_subject Geography Planning and Development Longevity Hierarchical Bayesian model Medicine (miscellaneous) lcsh:G1-922 Small areas Population density Ravenna centenarian rate hierarchical Bayesian models longevity small areas spatial and spatio-temporal models Italy Altitude Life Expectancy Confidence Intervals Humans Poisson Distribution media_common Aged Aged 80 and over Models Statistical Health Policy Perspective (graphical) Age Factors Bayes Theorem Geography Italy Spatial and spatio-temporal models Cohort Regression Analysis Female Centenarian lcsh:Geography (General) Demography |
| Zdroj: | Geospatial Health, Vol 6, Iss 2, Pp 233-245 (2012) Scopus-Elsevier |
| ISSN: | 1970-7096 |
| Popis: | The pattern of longevity in the Italian north-eastern region of Emilia Romagna was investigated at the municipality level, considering a modified version of the centenarian rate (CR) in two different periods (1995-1999 and 2005-2009). Due to the rareness of such events in small areas, spatio-temporal modelling was used to tackle the random variations in the occurrence of long-lived individuals. This approach allowed us to exploit the spatial proximity to smooth the observed data, as well as controlling for the effects of a set of covariates. As a result, clusters of areas characterised by extreme indexes of longevity could be identified and the temporal evolution of the phenomenon depicted. A persistence of areas of lower and higher occurrences of long-lived subjects was observed across time. In particular, mean and median values higher than the regional ones, showed up in areas belonging to the provinces of Ravenna and Forli-Cesena, on one side spreading out along the Adriatic coast and, on the other stretching into the Apennine municipalities of Bologna and Modena. Further, a longitudinal perspective was added by carrying out a spatial analysis including the territorial patterns of past mortality. We evaluated the effects of the structure of mortality on the cohort of long-lived subjects in the second period. The major causes of death were considered in order to deepen the analysis of the observed geographical differences. The circulatory diseases seem to mostly affect the presence of long-lived individuals and a prominent effect of altitude and population density also emerges. |
| Databáze: | OpenAIRE |
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