Short-term effects of air pollution on daily hospital admissions for cardiovascular diseases in western China

Environ Sci Pollut Res Int. 2017 Jun;24(16):14071-14079. doi: 10.1007/s11356-017-8971-z. Epub 2017 Apr 13.

Abstract

Controlling the confounding factors on cardiovascular diseases, such as long-time trend, calendar effect, and meteorological factors, a generalized additive model (GAM) was used to investigate the short-term effects of air pollutants (PM10, SO2, and NO2) on daily cardiovascular admissions from March 1st to May 31st during 2007 to 2011 in Lanzhou, a heavily polluted city in western China. The influences of air pollutants were examined with different lag structures, and the potential effect modification by dust storm in spring was also investigated. Significant associations were found between air pollutants and hospital admissions for cardiovascular diseases both on dust event days and non-dust event days in spring. Air pollutants had lag effects on different age and gender groups. Relative risks (RRs) and their 95% confidence intervals (CIs) associated with a 10 μg/m3 increase were 1.14 (1.04~1.26) on lag1 for PM10, 1.31 (1.21~1.51) on lag01 for SO2, and 1.96 (1.49~2.57) on lag02 for NO2 on dust days. Stronger effects of air pollutants were observed for females and the elderly (≥60 years). Our analysis concluded that the effects of air pollutants on cardiovascular admissions on dust days were significantly stronger than non-dust days. The current study strengthens the evidence of effects of air pollution on health and dust-exacerbated cardiovascular admissions in Lanzhou.

Keywords: Air pollution; Cardiovascular diseases; Dust storm; Hospital admissions; Time-series.

MeSH terms

  • Adolescent
  • Adult
  • Aged
  • Aged, 80 and over
  • Air Pollutants / toxicity*
  • Air Pollution
  • Cardiovascular Diseases / epidemiology*
  • Child
  • Child, Preschool
  • China / epidemiology
  • Cities
  • Female
  • Humans
  • Infant
  • Male
  • Middle Aged
  • Patient Admission / statistics & numerical data*
  • Respiratory Tract Diseases
  • Young Adult

Substances

  • Air Pollutants