Department of Epidemiology and Biostatistics, Drexel University Dornsife School of Public Health , Philadelphia, PA , USA.
Shanghai Advanced Research Institute, Chinese Academy of Sciences , Shanghai , China.
Front Public Health. 2016 Jul 18;4:143. doi: 10.3389/fpubh.2016.00143. eCollection 2016.
China has had a rapid increase in its economy over the past three decades. However, the economic boom came at a certain cost of depleting air quality. In the study, we aimed to examine the burden of air pollution and its association with climatic factors and health outcomes using data from Chinese national and city-level air quality and public health surveillance systems. City-level daily air pollution index (API, a sum weighted index of SO2, NO2, PM10, CO, and Ozone) in 120 cities in 2012 and 2013, and its association with climate factors were analyzed using multiple linear regression analysis, spatial autocorrelation analysis, and panel fixed models. City-level ecological association between annual average API and total mortality were examined using univariate and partial correlation analysis. Sensitivity analysis was conducted by taking the consideration of time-lag effect between exposures and outcomes. The results show that among the 120 cities, annual average API significantly increased from 2012 to 2013 (65.05 vs. 75.99, p < 0.0001). The highest average API was in winter, and the lowest in summer. A significantly spatial clustering of elevated API was observed, with the highest API in northwest China in 2012 and with the highest in east China in 2013. In 2012, 5 (4%) of the 120 cities had ≥60 days with API >100 (defined as "slightly polluted"), however, it increased to 21 cities (18%) that experienced API >100 for ≥60 days in 2013. Furthermore, 16 cities (13%) in 2012 and 35 (29%) in 2013 experienced a maximum API >300 (defined as "severely polluted"). API was negatively and significantly correlated with heat index, precipitation, and sunshine hours, but positively with air pressure. Cities with higher API concentrations had significantly higher total mortality rates than those with lower API. About a 4-7% of the variation in total mortality could be explained by the difference in API across the nation. In conclusion, the study highlights an increased trend of air pollution from 2012 to 2013 in China. The magnitude of air pollution varied by seasons and regions and correlated with climatic factors and total mortality across the country.
中国在过去三十年中经济迅速增长。然而,经济繁荣是以空气质量恶化作为代价的。在这项研究中,我们旨在使用中国国家和城市空气质量和公共卫生监测系统的数据,研究空气污染的负担及其与气候因素和健康结果的关系。使用多元线性回归分析、空间自相关分析和面板固定模型分析了 2012 年和 2013 年 120 个城市的城市日空气污染指数(API,SO2、NO2、PM10、CO 和臭氧的加权总和指数)及其与气候因素的关系。使用单变量和偏相关分析研究了城市年平均 API 与总死亡率之间的生态关联。通过考虑暴露和结果之间的时间滞后效应进行了敏感性分析。结果表明,在 120 个城市中,2012 年至 2013 年期间年平均 API 显著增加(65.05 对 75.99,p<0.0001)。API 平均值最高的是冬季,最低的是夏季。观察到 API 升高的空间聚类显著,2012 年中国西北部的 API 最高,2013 年中国东部的 API 最高。2012 年,120 个城市中有 5 个(4%)有≥60 天 API>100(定义为“轻度污染”),但 2013 年有 21 个城市(18%)API>100 的天数≥60 天。此外,2012 年有 16 个城市(13%)和 2013 年有 35 个城市(29%)出现最大 API>300(定义为“严重污染”)。API 与热指数、降水和日照小时数呈负相关,与气压呈正相关。API 浓度较高的城市总死亡率明显高于 API 浓度较低的城市。全国范围内,API 的差异可以解释总死亡率变化的 4-7%左右。总之,本研究强调了 2012 年至 2013 年中国空气污染呈上升趋势。空气污染的程度因季节和地区而异,与全国范围内的气候因素和总死亡率相关。