Association between ambient air pollution and daily hospital visits for cardiovascular diseases in Wuhan, China: a time-series analysis based on medical insurance data

ABSTRACT

Although evidence showed the adverse effects of air pollution on cardiovascular disease (CVDs), few studies were based on medically insured populations. We applied a generalized additive Poisson model (GAM) to estimate the short-term effects of ambient air pollution on a group of medically insured population in Wuhan, China. We extracted daily air pollution data, meteorological data, and daily hospital visits for CVDs. We found that the ambient air pollutants sulfur dioxide (SO₂), nitrogen dioxide (NO₂), ground-level ozone (O₃) particulate matter (PM) with an aerodynamic diameter ≤10 μm (PM₁₀), and those ≤2.5 μm (PM_2.5) all increased the risk of daily hospital visits for CVDs. We also found that the effect of air pollution on daily hospital visits for CVDs is greater in the cold season than in the warm season. Our findings can be used as evidence that supports the formulation of policies for air pollution and CVDs.

KEYWORDS:

• Air pollution
• cardiovascular diseases (CVD)
• generalized additive model (GAM)
• time-series

Acknowledgements

Thanks for the tutor’s careful guidance and the help of the research team.

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