Longevity pattern in the Italian region of Emilia Romagna: a dynamic perspective
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-tempora...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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PAGEPress Publications
2012-05-01
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| Series: | Geospatial Health |
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| Online Access: | http://www.geospatialhealth.net/index.php/gh/article/view/141 |
| _version_ | 1828769877054193664 |
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| author | Giulia Roli Alessandra Samoggia Rossella Miglio Rosella Rettaroli |
| author_facet | Giulia Roli Alessandra Samoggia Rossella Miglio Rosella Rettaroli |
| author_sort | Giulia Roli |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-11T13:56:52Z |
| format | Article |
| id | doaj.art-04306562d5774328862ed1876de4e063 |
| institution | Directory Open Access Journal |
| issn | 1827-1987 1970-7096 |
| language | English |
| last_indexed | 2024-12-11T13:56:52Z |
| publishDate | 2012-05-01 |
| publisher | PAGEPress Publications |
| record_format | Article |
| series | Geospatial Health |
| spelling | doaj.art-04306562d5774328862ed1876de4e0632022-12-22T01:04:01ZengPAGEPress PublicationsGeospatial Health1827-19871970-70962012-05-016223324510.4081/gh.2012.141141Longevity pattern in the Italian region of Emilia Romagna: a dynamic perspectiveGiulia Roli0Alessandra Samoggia1Rossella Miglio2Rosella Rettaroli3Department of Statistical Sciences, University of Bologna, BolognaDepartment of Statistical Sciences, University of Bologna, BolognaDepartment of Statistical Sciences, University of Bologna, BolognaDepartment of Statistical Sciences, University of Bologna, BolognaThe 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.http://www.geospatialhealth.net/index.php/gh/article/view/141centenarian rate, hierarchical Bayesian models, longevity, small areas, spatial and spatio-temporal models, Italy. |
| spellingShingle | Giulia Roli Alessandra Samoggia Rossella Miglio Rosella Rettaroli Longevity pattern in the Italian region of Emilia Romagna: a dynamic perspective Geospatial Health centenarian rate, hierarchical Bayesian models, longevity, small areas, spatial and spatio-temporal models, Italy. |
| title | Longevity pattern in the Italian region of Emilia Romagna: a dynamic perspective |
| title_full | Longevity pattern in the Italian region of Emilia Romagna: a dynamic perspective |
| title_fullStr | Longevity pattern in the Italian region of Emilia Romagna: a dynamic perspective |
| title_full_unstemmed | Longevity pattern in the Italian region of Emilia Romagna: a dynamic perspective |
| title_short | Longevity pattern in the Italian region of Emilia Romagna: a dynamic perspective |
| title_sort | longevity pattern in the italian region of emilia romagna a dynamic perspective |
| topic | centenarian rate, hierarchical Bayesian models, longevity, small areas, spatial and spatio-temporal models, Italy. |
| url | http://www.geospatialhealth.net/index.php/gh/article/view/141 |
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