Short-Term Effects of Coarse Particulate Matter on Hospital Admissions for Cardiovascular Diseases: A Case-Crossover Study in a Tropical City

Abstract

This study was undertaken to determine whether there was an association between coarse particles (PM_2.5-10) levels and frequency of hospital admissions for cardiovascular diseases (CVD) in Kaohsiung, Taiwan. Hospital admissions for CVD, including ischemic heart disease (IHD), stroke, congestive heart failure (CHF), and arrhythmias, and ambient air pollution data levels for Kaohsiung were obtained for the period 2006–2010. The relative risk of hospital admissions for CVD was estimated using a case-crossover approach, controlling for weather variables, day of the week, seasonality, and long-term time trends. For the single-pollutant model (without adjustment for other pollutants), increased rates of admissions for CVD were significantly associated with higher coarse PM levels only on cool days (< 25°C), with a 10-μg/m³ elevation in PM_2.5-10 concentrations associated with a 3% (95% CI = 2–4%) rise in IHD admissions, 5% (95% CI = 4–6%) increase in stroke admissions, 3% (95% CI = 1–6%) elevation in CHF admissions, and 3% (95% CI = 0–6%) rise in arrhythmias admissions. No significant associations were found between coarse particle levels and number of hospital admissions for CVD on warm days. In the two-pollutant models, PM_2.5-10 levels remained significantly correlated with higher rate of CVD admissions even controlling for sulfur dioxide, nitrogen dioxide, carbon monoxide, or ozone on cool days. Compared to the effect estimate associated with a 10-μg/m³ increase in PM_2.5 levels, effect estimates of frequency of CVD-related admissions associated with a 10-μg/m³ rise in coarse PM levels were weaker. This study provides evidence that higher levels of PM_2.5-10 enhance the risk of hospital admissions for CVD.

Additional information

Funding

This study is based in part on data from the National Insurance Research Database provided by the Bureau of National Health Insurance, Department of Health and managed by National Health Research Institutes. The interpretation and conclusions contained herein do not represent those of Bureau of National Health Insurance, Department of Health or National Health Research Institutes. This study was supported by National Health Research Institutes (EO-101-PP-08) and National Science Council (NSC-102-2314-B-037-065-MY2).