Associations between Different Ozone Indicators and Cardiovascular Hospital Admission: A Time-Stratified Case-Crossover Analysis in Guangzhou, China

Int J Environ Res Public Health. 2023 Jan 23;20(3):2056. doi: 10.3390/ijerph20032056.

Abstract

Epidemiological studies reported that ozone (O3) is associated with cardiovascular diseases. However, only few of these studies examined the impact of multiple O3 indicators on cardiovascular hospital admissions. This study aimed to explore and compare the impacts of different O3 indicators on cardiovascular hospital admissions in Guangzhou, China. Based upon the data on daily cardiovascular hospital admissions, air pollution, and meteorological factors in Guangzhou from 2014 to 2018, a time-stratified case-crossover design model was used to analyze the associations between different O3 indicators and cardiovascular hospital admissions. Moreover, the sensitivities of different age and gender groups were analyzed for the whole year and different seasons (i.e., warm and cold). During the warm season, for the single-pollutant model, the odds ratio (OR) value of cardiovascular hospital admissions was 1.0067 (95% confidence interval (CI): 1.0037, 1.0098) for every IQR increase in MDA8 O3 at a lag of five days. The effect of O3 on people over 60 year was stronger than that on the 15-60 years age group. Females were more sensitive than males to O3 exposure. These results provided valuable references for further scientific research and environmental improvement in Guangzhou. Given that short-term O3 exposure poses a threat to human health, the government should therefore pay attention to prevention and control policies to reduce and eliminate O3 pollution and protect human health.

Keywords: cardiovascular diseases; hospital admissions; ozone; time-stratified case crossover.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Air Pollutants* / analysis
  • Air Pollution* / analysis
  • China / epidemiology
  • Female
  • Heart
  • Hospitals
  • Humans
  • Male
  • Ozone* / analysis
  • Particulate Matter / analysis
  • Seasons

Substances

  • Ozone
  • Air Pollutants
  • Particulate Matter

Grants and funding

This work was supported by the National Key Research and Development Plan of China (2019YFA0606901); the National Natural Science Foundation of China (42071178, 41671139); and the Visiting Fellowship from China Scholarship Council (No. 202106040072). The authors gratefully acknowledge the Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente for hosting the first author to carry out this study.