Gannan Medical University. School of Public Health and Health Management. Ganzhou, China.
Rev Saude Publica. 2022 Jun 13;56:46. doi: 10.11606/s1518-8787.2022056004324. eCollection 2022.
To evaluate the relationship between ambient air pollutants and chronic obstructive pulmonary disease in relatively low-polluted areas in China.
Atmospheric pollutants levels and meteorological data were obtained from January 2016 to December 2020. The medical database including daily hospital admissions for chronic obstructive pulmonary disease (ICD10: J44) was derived from the First Affiliated Hospital of Gannan Medical University. The generalized additive model was used to analyze the percentage change with 95% confidence interval in daily hospital admissions for chronic obstructive pulmonary disease associated with a 10 µg/m3 increase in atmospheric pollutants levels.
In total, occurred 4,980 chronic obstructive pulmonary disease hospital admissions (not including emergency department visits) during 2016-2020. The mean concentrations of daily PM2.5, PM10, SO2, NO2, O3, and CO were 37.5 μg/m3, 60.1 μg/m3, 18.7 μg/m3, 23.5 μg/m3, 70.0 μg/m3, and 1.2 mg/m3 in Ganzhou. Each 10 µg/m3 increment of PM2.5, PM10, NO2, and O3 were significantly associated with 2.8% (95%CI: 1.0-4.7), 1.3% (95%CI: 0.3-2.4), 2.8% (95%CI: 0.4-5.4), and 1.5% (95%CI: 0.2-2.7) elevation in daily chronic obstructive pulmonary disease hospital admissions. The estimates of delayed effects of PM2.5, PM10, NO2, and O3 were observed at lag6, lag6, lag8, lag1, respectively. The health effects of particulate pollutants (PM2.5 and PM10) may be independent of other pollutants. The adverse effects of air pollutants were more evident in the warm season (May-Oct) than in the cold season (Nov-Apr).
Our study demonstrated that elevated concentrations of atmospheric pollutant (PM2.5, PM10, NO2, and O3), especially particulate pollutants, can be associated with increased daily count of hospital admissions for chronic obstructive pulmonary disease , which may promote further understanding of the potential hazards of relatively low levels of air pollution on chronic obstructive pulmonary disease and other respiratory disorders.
评估在中国相对低污染地区,大气污染物与慢性阻塞性肺疾病之间的关系。
获取 2016 年 1 月至 2020 年 12 月的大气污染物水平和气象数据。从赣南医学院第一附属医院的医疗数据库中提取慢性阻塞性肺疾病(ICD10:J44)的每日住院人数。采用广义加性模型分析大气污染物水平每增加 10μg/m3,与慢性阻塞性肺疾病每日住院人数相关的百分比变化及其 95%置信区间。
在 2016 年至 2020 年期间,共发生了 4980 例慢性阻塞性肺疾病住院治疗(不包括急诊就诊)。赣州每日 PM2.5、PM10、SO2、NO2、O3 和 CO 的平均浓度分别为 37.5μg/m3、60.1μg/m3、18.7μg/m3、23.5μg/m3、70.0μg/m3 和 1.2mg/m3。PM2.5、PM10、NO2 和 O3 每增加 10μg/m3,与每日慢性阻塞性肺疾病住院人数分别增加 2.8%(95%CI:1.0-4.7)、1.3%(95%CI:0.3-2.4)、2.8%(95%CI:0.4-5.4)和 1.5%(95%CI:0.2-2.7)显著相关。PM2.5、PM10、NO2 和 O3 的滞后效应估计分别在滞后 6、6、8 和 1 时观察到。颗粒物污染物(PM2.5 和 PM10)的健康影响可能独立于其他污染物。大气污染物的不利影响在暖季(5 月至 10 月)比冷季(11 月至 4 月)更为明显。
本研究表明,大气污染物(PM2.5、PM10、NO2 和 O3)浓度升高,尤其是颗粒物污染物,可能与慢性阻塞性肺疾病每日住院人数的增加有关,这可能有助于进一步了解相对低水平空气污染对慢性阻塞性肺疾病和其他呼吸疾病的潜在危害。