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Published on: January 7, 2013
[Urbanisation degree and mortality by education level in the Emilia-Romagna Longitudinal Study (Northern Italy)]
Nicola Caranci1, Letizia Bartolini2, Chiara Di Girolamo2
1Agenzia sanitaria e sociale regionale, Emilia-Romagna, Bologna; ncaranci@regione.emilia-romagna.it.
Objectives:
to present the Longitudinal Study of Emilia-Romagna (SLER) and evaluate whether the effect of the education level on premature mortality is modified by the degree of urbanisation.
Design:
closed cohort study.
Setting And Participants:
population aged >=30 years, resident in Emilia-Romagna Region (Northern Italy) and registered in the 2011 Italian Census, followed up until death, emigration, attainment of 75th year of age, or end of 2018.
Main Outcome Measures:
overall and cause-specific premature mortality (malignant tumours, lung and breast tumours, diseases of the circulatory system, respiratory system and digestive system, road accidents, death of despair, alcohol-related causes).
Results:
the study population consisted of 2,579,936 individuals (15,508,972 person-years and 71,213 deaths). The population was equally distributed across the three degrees of urbanisation, but the prevalence of highly educated subjects was lower in the sparsely populated areas than in cities (12.9% vs 27.7%). The higher risk of mortality among the low educated was greatest, particularly among males, in the cities (MRR 1.68; 95%CI 1.62-1.75), lowest in the intermediate density areas (MRR 1.47; 95%CI 1.40-1.55), and not negligible among women. The interaction between education level and degree of urbanisation was significant for all-cause mortality, mortality from cardiovascular diseases, malignant tumours, especially lung cancer, road accidents (only among men). Among women, there were signs of an effect modification on mortality from diseases of respiratory and digestive systems.
Conclusions:
this first application of the SLER revealed that the mortality gradient by education level is greater in the cities, especially among men. These results deserve to be further explored through the analysis of other health outcomes and the investigation of the main drivers of the greater socioeconomic disadvantage observed in the cities.
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