Air pollution and occurrence of type 2 diabetes in a large cohort study

Autor: Francesco Cerza, Silvia Cascini, Marina Davoli, Claudio Gariazzo, Riccardo Di Domenicantonio, Nera Agabiti, Matteo Renzi, Giulia Cesaroni, Francesco Forastiere
Jazyk: angličtina
Rok vydání: 2018
Předmět:
Zdroj: Environment International, Vol 112, Iss, Pp 68-76 (2018)
ISSN: 0160-4120
Popis: The few cohort studies that have investigated the association between exposure to air pollution and occurrence of diabetes have reported conflicting results. We aimed to evaluate the association of long-term exposure to particulate matter (PM), nitrogen oxides (NOx) and ozone (O3), with baseline prevalence and incidence of type 2 diabetes in a large administrative cohort in Rome, Italy. A total of 1,425,580 subjects aged 35+years (January 1st, 2008) were assessed and followed for six years. We estimated PM10, PM2.5–10, PM2.5, NO2, and NOx exposures at residence using land use regression models, and summer O3 exposure using dispersion modeling. To estimate the association between air pollutant exposures and prevalence and incidence of diabetes, we used logistic and Cox regression models, considering individual, environmental (noise and green areas), and contextual characteristics. We identified 106,387 prevalent cases at baseline and 65,955 incident cases during the follow-up period. We found positive associations between nitrogen oxides exposures and prevalence of diabetes with odds ratios (ORs) up to 1.010 (95% CI: 1.002, 1.017) and 1.015 (1.009, 1.021) for NO2 and NOx, respectively, per fixed increases (per 10μg/m3 and 20μg/m3, respectively). We also found some evidence of an association between NOx and O3 and incidence of diabetes, with hazard ratios (HRs) of 1.011 (95%CI: 1.003–1.019) and 1.015 (1.002–1.027) per 20 and 10μg/m3 increases, respectively. The association with O3 with incident diabetes was stronger in women than in men and among those aged
Databáze: OpenAIRE
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