Aguilar-Palacio, Isabel, Martínez-Beneito, Miguel A., Rabanaque, María José, Borrell, Carme, Cirera, Lluís, Daponte, Antonio, Domínguez Berjón, María Felicitas, Gandarillas, Ana, Gotsens, Mercè, Lorenzo, Pedro, Marí-Dell'Olmo, Marc, Nolasco, Andreu, Sáez, Marc, Sánchez-Villegas, Pablo, Saurina, Carme, Martos, Carmen
Diabetes mellitus mortality in Spanish cities: Trends and geographical inequalities
Primary Care Diabetes. 2017, 11(5): 453-460. doi:10.1016/j.pcd.2017.05.006
URI: http://hdl.handle.net/10045/67308
DOI: 10.1016/j.pcd.2017.05.006
ISSN: 1751-9918 (Print)
Abstract: 
Aim: To analyze the geographical pattern of diabetes mellitus (DM) mortality and its association with socioeconomic factors in 26 Spanish cities. Methods: We conducted an ecological study of DM mortality trends with two cross-sectional cuts (1996–2001; 2002–2007) using census tract (CT) as the unit of analysis. Smoothed standardized mortality rates (sSMR) were calculated using Bayesian models, and a socioeconomic deprivation score was calculated for each CT. Results: In total, 27,757 deaths by DM were recorded, with higher mortality rates observed in men and in the period 1996–2001. For men, a significant association between CT deprivation score and DM mortality was observed in 6 cities in the first study period and in 7 cities in the second period. The highest relative risk was observed in Pamplona (RR, 5.13; 95% credible interval (95%CI), 1.32–15.16). For women, a significant association between CT deprivation score and DM mortality was observed in 13 cities in the first period and 8 in the second. The strongest association was observed in San Sebastián (RR, 3.44; 95%CI, 1.25–7.36). DM mortality remained stable in the majority of cities, although a marked decrease was observed in some cities, including Madrid (RR, 0.67 and 0.64 for men and women, respectively). Conclusions: Our findings demonstrate clear inequalities in DM mortality in Spain. These inequalities remained constant over time are were more marked in women. Detection of high-risk areas is crucial for the implementation of specific interventions.
Keywords:Diabetes mellitus, Mortality, Geographical inequalities, Urban areas
Elsevier
info:eu-repo/semantics/article