Short–term effects of air pollution and noise on emergency hospital admissions in Madrid and economic assessment

相对风险 泊松回归 医学 人口 空气污染 环境卫生 臭氧 急诊医学 人口学 置信区间 内科学 气象学 地理 生物 生态学 社会学
作者
R. Ruiz-Páez,Julio Díaz,J.A. López-Bueno,C. Asensio,M.S. Ascaso,Marc Sáez,M. Y. Luna,María Antònia Barceló,Miguel Ángel Navas-Martín,Cristina Linares
出处
期刊:Environmental Research [Elsevier BV]
卷期号:219: 115147-115147 被引量:2
标识
DOI:10.1016/j.envres.2022.115147
摘要

The aim of this study was to study the effect of air pollution and noise has on the population in Madrid Community (MAR) in the period 2013-2018, and its economic impact.Time series study analysing emergency hospital admissions in the MAR due to all causes (ICD-10: A00-R99), respiratory causes (ICD-10: J00-J99) and circulatory causes (ICD-10: I00-I99) across the period 2013-2018. The main independent variables were mean daily PM2.5, PM10, NO2, 8-h ozone concentrations, and noise. We controlled for meteorological variables, Public Holidays, seasonality, and the trend and autoregressive nature of the series, and fitted generalised linear models with a Poisson regression link to ascertain the relative risks and attributable risks. In addition, we made an economic assessment of these hospitalisations.The following associations were found: NO2 with admissions due to natural (RR: 1.007, 95% CI: 1.004-1.011) and respiratory causes (RR: 1.012, 95% CI: 1.005-1.019); 8-h ozone with admissions due to natural (RR: 1.049, 95% CI: 1.014-1.046) and circulatory causes (RR: 1.088, 95% CI: 1.039-1.140); and diurnal noise (LAeq7-23h) with admissions due to natural (RR: 1.001, 95% CI: 1.001-1.002), respiratory (RR: 1.002, 95% CI: 1.001-1.003) and circulatory causes (RR: 1.003, 95% CI: 1.002-1.005). Every year, a total of 8246 (95% CI: 4580-11,905) natural-cause admissions are attributable to NO2, with an estimated cost of close on €120 million and 5685 (95% CI: 2533-8835) attributed to LAeq7-23h with an estimated cost of close on €82 million.Nitrogen dioxide, ozone and noise are the main pollutants to which a large number of hospitalisations in the MAR are attributed, and are thus responsible for a marked deterioration in population health and high related economic impact.

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