Longevity pattern in the Italian region of Emilia Romagna: a dynamic perspective

  • Giulia Roli | g.roli@unibo.it Department of Statistical Sciences, University of Bologna, Bologna, Italy.
  • Alessandra Samoggia Department of Statistical Sciences, University of Bologna, Bologna, Italy.
  • Rossella Miglio Department of Statistical Sciences, University of Bologna, Bologna, Italy.
  • Rosella Rettaroli Department of Statistical Sciences, University of Bologna, Bologna, Italy.

Abstract

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.

Downloads

Download data is not yet available.
Published
2012-05-01
Section
Original Articles
Keywords:
centenarian rate, hierarchical Bayesian models, longevity, small areas, spatial and spatio-temporal models, Italy.
Statistics
Abstract views: 451

PDF: 285
Share it

PlumX Metrics

PlumX Metrics provide insights into the ways people interact with individual pieces of research output (articles, conference proceedings, book chapters, and many more) in the online environment. Examples include, when research is mentioned in the news or is tweeted about. Collectively known as PlumX Metrics, these metrics are divided into five categories to help make sense of the huge amounts of data involved and to enable analysis by comparing like with like.

How to Cite
Roli, G., Samoggia, A., Miglio, R., & Rettaroli, R. (2012). Longevity pattern in the Italian region of Emilia Romagna: a dynamic perspective. Geospatial Health, 6(2), 233-245. https://doi.org/10.4081/gh.2012.141