Acute effects of fine particulate matter (PM2.5) on hospital admissions for cardiovascular diseases in Lanzhou, China: a time-series study

Abstract

Background Up until now, evidence pertaining to the short-term effects of fine particulate matter (PM2.5) in cardiovascular diseases (CVD) is scarce in China. In this study, we aim to estimate the association between short-term exposure to PM2.5 and hospitalizations for total and cause-specific CVD in Lanzhou of China. Methods Daily counts of cardiovascular admissions were obtained from three large general hospitals in Lanzhou, China between 2014 and 2019. Air quality and meteorological data were obtained from the monitoring stations nearest to the admitting hospitals. We utilized Quasi-Poisson time-series regressions with distributed lag nonlinear models (DLNM) to assess the association between PM2.5 and CVD admitted in the three general hospitals. A stratified analysis was also conducted for age, sex, and disease subcategories. Results PM2.5 was positively correlated with daily admissions for total or other cause-specific CVD under different lag patterns. For every 10 μg/m3 increase in the PM2.5 concentration, the relative risk of daily admissions for total CVD, ischemic heart disease (IHD), heart rhythm disturbances (HRD), heart failure (HF), and cerebrovascular disease (CD) was: 1.011 [95% confidence interval (CI), 1.001–1.020] in lag01; 1.020 (95% CI 1.004–1.036) in lag07; 1.013 (95% CI 1.001–1.026) in lag7; 1.018 (95% CI 1.005–1.038) in lag1; and 1.007 (95% CI 1.001–1.018) in lag1. Both low and high temperatures increased the risk of cardiovascular hospitalization. No differences were found after stratification by gender and age. We found an almost linear relationship between the exposure to PM2.5 and cause-specific CVD admissions with no threshold effect. Males as well as the elderly, aged ≥ 65 years, were more vulnerable to PM 2.5 exposure. Conclusions Our results have demonstrated that PM2.5 has adverse impacts on cardiovascular hospitalizations in Lanzhou, especially on IHD.

Association between PM10 and respiratory diseases admission in Peninsular Malaysia during the haze

“…According to some studies, men are more vulnerable to pollution than women. This is because male smoking rates were substantially greater in some areas, making the individuals more sensitive towards PM 10 [15]. In addition to this study, a few other studies [15,20,24] agreed that this inconsistency was caused by several factors.…”

“…This is because male smoking rates were substantially greater in some areas, making the individuals more sensitive towards PM 10 [15]. In addition to this study, a few other studies [15,20,24] agreed that this inconsistency was caused by several factors. The factors that needed to be highlighted were diverse physiological characteristics in both genders, routine activities, smoking habits, occupations, comorbidity factors and others.…”

The Impact of Fine Particulate Matter 2.5 on the Cardiovascular System: A Review of the Invisible Killer

“…The additional women-to-men ratio of RR (RRR) was 1.05 (95% CI, 1.02–1.08) per 10 μg/m 3 increment in PM 2.5 exposure. Wu et al [ 90 ] conducted a time-series study to estimate the link between short-term PM 2.5 exposure and CVD-related hospitalizations in Lanzhou, China, and showed that short-term PM 2.5 exposure increased the hospitalizations for total CVD, especially IHD in male and elderly populations. Another recent open cohort study [ 91 ] was conducted to investigate the associations between long-term PM 2.5 exposure and cardiovascular events as well as CVD-specific mortality among hemodialysis patients in the U.S. A PM 2.5 level of 1 μg/m 3 was associated with an increased risk of cardiovascular events (1.02, 95% CI: 1.01, 1.02) and CVD-specific mortality (1.02, 95% CI: 1.02, 1.03).…”

Short-term effects of air pollution on hospitalization for acute lower respiratory infections in children: a time-series analysis study from Lanzhou, China

“…Lanzhou City is a river-valley type city, and the terrain is characterized by a narrow east–west direction and a narrow north–south direction facing the mountains. Residential areas are mainly concentrated on both sides of the city roads, and the location of the air quality monitoring station is not more than 15 km away from the residential areas [ 29 , 30 ]. Therefore, the monitoring data from the air quality testing station can well represent the exposure concentration of the residents.…”