Time-series analysis of air pollution effects on diabetes related mortality

BackgroundDiabetes mellitus is a major public health issue at present. Previous studies have shown that ambient air pollution is a risk factor for diabetes.ObjectiveThis study aims to explore the acute effects of ambient air pollution on diabetes related death in Shanghai Jing’an District.MethodsDaily air pollution data, meteorological data, and diabetes related mortality data in 2013−2019 in Shanghai Jing’an District were collected. A generalized additive model (GAM) was established to conduct time-series analysis on the short-term effect of ambient air pollution on diabetes related mortality, and gender- and age-stratified analysis on susceptibility of various groups to ambient air pollution exposures.ResultsFor every 10 μg·m−3 increase of the concentrations of PM2.5, PM10, SO2, and NO2, the diabetes related mortality increased by 2.47% (95%CI: 1.56%−3.38%), 2.02% (95%CI: 1.29%−2.75%), 5.75% (95%CI: 2.99%−8.58%), and 3.93% (95%CI: 2.49%−5.39%) at lag05 respectively (P