Short-Term Exposure to Coarse Particles and Dyslipidemia Risk in Chengdu, China: A Time-Series Study - Abstract
Objectives: Dyslipidemia, as a major risk factor for atherosclerotic cardiovascular disease (CVD), contributed to a large number of deaths. Ambient air pollution was recognized as a significant risk factor for dyslipidemia. We designed the study to explore how short-term exposure to ambient particulate matter, especially PM2.5-10, affected the incidence of dyslipidemia. Methods: We used lipid data from 309,654 persons provided by the Medical Examination Center of Sichuan Provincial People’s Hospital. Daily air pollutants and meteorological data derived from the nearest eight monitoring sites owned by the China Meteorological Administration. To evaluate the acute effects of ambient particulate matter on dyslipidemia in both the spatial and lag dimensions, we used a distributed lag non-linear model. Results: We found that an increase of PM2.5-10 concentrations with an interquartile range (29.5 ?g/m3) was positively associated with dyslipidemia with apparent lag effects cumulative effects at the lag of 0–7days. Furthermore, we discovered the unique role of PM2.5-10 on hypertriglyceridemia with a lag day of 1-3 days after adjusting the effect of PM2.5, and the cumulative impacts of PM2.5-10 peaked at a lag of 0–4 days (RR 1.045, 95%CI 1.005-1.087, p-value=0.05). Stratified analyses showed that younger, female or physically lighter individuals were potentially vulnerable groups. Conclusions: Our study found that PM2.5-10 positively link with hypertriglyceridemia at lag days.