| Literature DB >> 27461270 |
Barbara Pacelli1, Nicolás Zengarini2, Serena Broccoli3,4, Nicola Caranci5, Teresa Spadea2, Chiara Di Girolamo6,7, Laura Cacciani8, Alessio Petrelli9, Paola Ballotari3,4, Laura Cestari10, Laura Grisotto11, Paolo Giorgi Rossi3,4.
Abstract
Despite a rapid increase in immigration from low-income countries, studies on immigrants' mortality in Italy are scarce. We aimed to describe differences in all and cause-specific mortality among immigrants and Italians residing in Turin and Reggio Emilia (Northern Italy), two cities participating in the Italian Network of Longitudinal Metropolitan Studies (IN-LiMeS). We used individual data from the municipal population registers linked to the cause of death registers. All people aged 1-64 years residing between 2001 and 2010 were enrolled (open cohort) and followed up until 2013. The mortality of citizens from high migratory pressure countries (as a whole, and for each macro-area group) was compared with that of Italians; differences were estimated by Poisson regression adjusted by age and calendar year mortality rate ratios (MRRs), and by age-standardized mortality ratios for the analysis of cause-specific mortality. Compared with Italians, immigrants had lower overall mortality (MRR for men: 0.82, 95 % CI: 0.75-0.90; for women: 0.71, 95 % CI: 0.63-0.81). Sub-Saharan Africans experienced a significant higher mortality than Italians (MRR for men 1.29, 95 % CI: 1.03-1.61; for women: 1.70, 95 % CI: 1.22-2.36). Higher mortality for immigrants compared to Italians was observed for infectious diseases, congenital anomalies, some site-specific tumours and homicide mortality. Our study showed heterogeneity in mortality across the macro-areas of origin, and in particular Sub-Saharan Africans seemed to be a vulnerable population. The extension to other cohorts of IN-LiMeS will allow the health status of immigrants and vulnerable groups to be studied and monitored in more depth.Entities:
Keywords: Cause of death; Immigrants; Italy; Mortality; Open cohort
Mesh:
Year: 2016 PMID: 27461270 DOI: 10.1007/s10654-016-0177-z
Source DB: PubMed Journal: Eur J Epidemiol ISSN: 0393-2990 Impact factor: 8.082