: The SENTIERI Project analyses the health profile of the populations residing in Italian national priority contaminated sites in specific calendar periods using a cross-sectional approach. An aspect that has not been evaluated so far is the analysis over a long period, for understanding the changes in health profiles over time and studying them also in function of the changes occurred in the territories. This article studies temporal trends by birth cohort and calendar period for overall mortality and lung cancer mortality from 1980 to 2018, separately for men and women, for three sites: Priolo (Sicily Region, Southern Italy), Pitelli (Liguria Region, Northern Italy), and Terni-Papigno (Umbria Region, Central Italy). A method for selecting the temporal model that best fits the data is then proposed. General mortality presents complex temporal profiles when considering cumulative risks, and usually the most important temporal axis is the birth cohort for cumulative SMRs (i.e., after adjusting for trends in the reference population). For lung cancer, the most important time axis is the birth cohort and the age-cohort model is the most appropriate, in particular for men of Priolo and Terni.

Methodological approaches to evaluate the over-time mortality in SENTIERI epidemiological surveillance system: a focus on cohort analyses

Stoppa, Giorgia;Biggeri, Annibale;Catelan, Dolores
2023

Abstract

: The SENTIERI Project analyses the health profile of the populations residing in Italian national priority contaminated sites in specific calendar periods using a cross-sectional approach. An aspect that has not been evaluated so far is the analysis over a long period, for understanding the changes in health profiles over time and studying them also in function of the changes occurred in the territories. This article studies temporal trends by birth cohort and calendar period for overall mortality and lung cancer mortality from 1980 to 2018, separately for men and women, for three sites: Priolo (Sicily Region, Southern Italy), Pitelli (Liguria Region, Northern Italy), and Terni-Papigno (Umbria Region, Central Italy). A method for selecting the temporal model that best fits the data is then proposed. General mortality presents complex temporal profiles when considering cumulative risks, and usually the most important temporal axis is the birth cohort for cumulative SMRs (i.e., after adjusting for trends in the reference population). For lung cancer, the most important time axis is the birth cohort and the age-cohort model is the most appropriate, in particular for men of Priolo and Terni.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11577/3469837
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