Department of Occupational and Environmental Health, School of Public Health, Peking University, Beijing, 100191, China.
Institute for Packaging Materials and Pharmaceutical Excipients Control, National Institutes for Food and Drug Control, Beijing, 100150, China.
Sci China Life Sci. 2019 Oct;62(10):1381-1388. doi: 10.1007/s11427-018-9413-y. Epub 2019 Jan 21.
Chronic obstructive pulmonary disease (COPD), lung cancer (LC) and tuberculosis (TB) are common chronic lung diseases that generate a large disease burden and significant health care resource use in China. The aim of this study was to quantify spatial patterns and effects of air pollution and meteorological factors on hospitalization of COPD, LC and TB in Beijing. Daily counts of hospitalization for 2010 were obtained from the Beijing Urban Employees Basic Medical Insurance (UEBMI) system. Bayesian hierarchical Poisson regression models were applied to identify spatial patterns of hospitalization for COPD, LC and TB at the district level and explore associations with inhalable particulate matter (aerodynamic diameter <10 μm, PM), sulfur dioxide (SO), nitrogen dioxide (NO), mean temperature and relative humidity. There were 18,882, 14,295 and 2,940 counts of hospitalizations for COPD, LC and TB respectively, in Beijing in 2010. Clusters of high relative risk were in different locations for the three diseases. The effect of relative humidity on COPD hospitalization was most significant with a relative risk (RR) of 1.070 (95%CI: 1.054, 1.086) per one percent increase. For lung cancer hospitalization, exposure to ambient SO was associated with a RR of 1.034 (95%CI: 1.011, 1.058) per μg m increase. For tuberculosis, the effect of mean temperature was significant with a RR of 1.107 (95%CI: 1.038, 1.180) per °C increase. Risk factors and spatial patterns were different for hospitalization of non-infectious and infectious chronic lung disease in Beijing. Even over a short time period (one year), associations were apparent with air pollution and meteorological factors.
慢性阻塞性肺疾病（COPD）、肺癌（LC）和结核病（TB）是中国常见的慢性肺部疾病，它们造成了巨大的疾病负担和大量的医疗资源消耗。本研究旨在量化空气污染和气象因素对 COPD、LC 和 TB 住院的空间模式和影响。从北京市城镇职工基本医疗保险（UEBMI）系统中获得了 2010 年每日住院人数。采用贝叶斯分层泊松回归模型，在区县级水平上确定 COPD、LC 和 TB 住院的空间模式，并探讨与可吸入颗粒物（空气动力学直径<10μm，PM）、二氧化硫（SO）、二氧化氮（NO）、平均温度和相对湿度的关联。2010 年，北京市 COPD、LC 和 TB 的住院人数分别为 18882、14295 和 2940 例。三种疾病的高相对风险聚集区位于不同位置。相对湿度对 COPD 住院的影响最大，每增加 1%，相对风险（RR）为 1.070（95%置信区间：1.054，1.086）。对于肺癌住院，与环境 SO 暴露相关的 RR 为 1.034（95%置信区间：1.011，1.058）/μg/m。对于结核病，平均温度的影响显著，RR 为 1.107（95%置信区间：1.038，1.180）/℃。北京非传染性和传染性慢性肺部疾病住院的危险因素和空间模式不同。即使在短时间内（一年），空气污染和气象因素也与疾病发生明显相关。
