Background: Previous studies have shown that mortality inequalities are smaller in Italy than in most European countries. This may be due to the weak association between socioeconomic status and smoking in Italy. However, most published studies were based on data from a single city in northern Italy (Turin). In this study, we aimed to assess the size of mortality inequalities in Italy as a whole, their geographical pattern of variation within Italy, and the contribution of smoking to these inequalities. Methods: Participants in the National Health Interview Survey 1999-2000 were followed up for mortality until 31 December 2007. Using Cox regression, we computed the age-adjusted relative index of inequality (RII) for allcause mortality with and without controlling for smoking status and intensity. Education was used as an indicator of socioeconomic status. Results: Among 72 762 individuals aged 30-74 years at baseline, 4092 died during the follow-up. The ageadjusted RII of mortality was 1.69 (95% CI 1.44 to 2.00) among men and 1.43 (95% CI 1.13 to 1.82) among women. Among men, inequalities were larger in both northern and southern regions than in the middle of the country, whereas among women they were larger in the south. After controlling for smoking RII decreased to 1.63 (95% CI 1.38 to 1.92) among men and increased to 1.54 (95% CI 1.21 to 1.96) among women. The geographical variation in mortality inequalities was not affected by smoking adjustment. Conclusions: Mortality inequalities in Italy are smaller than in most European countries. This is due, among other factors, to the weak socioeconomic pattern of smoking over the past decades in Italy.

doi.org/10.1136/jech-2012-201716, hdl.handle.net/1765/62411
Journal of Epidemiology and Community Health
Erasmus MC: University Medical Center Rotterdam

Federico, B., Mackenbach, J., Eikemo, T., Sebastiani, G., Marinacci, C., Costa, G., & Kunst, A. (2013). Educational inequalities in mortality in northern, mid and southern Italy and the contribution of smoking. Journal of Epidemiology and Community Health, 67(7), 603–609. doi:10.1136/jech-2012-201716