School of Post-baccalaureate Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan.
Division of Nephrology, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan.
Front Public Health. 2023 Sep 22;11:1229820. doi: 10.3389/fpubh.2023.1229820. eCollection 2023.
Chronic Obstructive lung diseases (COPD) are complex conditions influenced by various environmental, lifestyle, and genetic factors. Ambient air pollution has been identified as a potential risk factor, causing 4.2 million deaths worldwide in 2016, accounting for 25% of all COPD-related deaths and 26% of all respiratory infection-related deaths. This study aims to evaluate the associations among chronic lung diseases, air pollution, and meteorological factors.
This cross-sectional study obtained data from the Taiwan Biobank and Taiwan Air Quality Monitoring Database. We defined obstructive lung disease as patients with FEV1/FVC < 70%. Descriptive analysis between spirometry groups was performed using one-way ANOVA and the chi-square or Fisher's exact test. A generalized additive model (GAM) was used to evaluate the relationship between SO and PM/PM through equations and splines fitting.
A total of 2,635 participants were enrolled. Regarding environmental factors, higher temperature, higher relative humidity, and lower rainfall were risk factors for obstructive lung disease. SO was positively correlated with PM and PM, with correlation coefficients of 0.53 ( < 0.0001) and 0.52 (p < 0.0001), respectively. Additionally, SO modified the relative risk of obstructive impairment for both PM [ coefficient () = 0.01, = 0.0052] and PM ( = 0.01, = 0.0155). Further analysis per standard deviation (per SD) increase revealed that SO also modified the relationship for both PM ( = 0.11, = 0.0052) and PM ( = 0.09, = 0.0155). Our GAM analysis showed a quadratic pattern for SO (per SD) and PM (per SD) in model 1, and a quadratic pattern for SO (per SD) in model 2. Moreover, our findings confirmed synergistic effects among temperature, SO and PM/PM, as demonstrated by the significant associations of bivariate (SO vs. PM, SO vs. PM) thin-plate smoothing splines in models 1 and 2 with obstructive impairment ( < 0.0001).
Our study showed high temperature, humidity, and low rainfall increased the risk of obstructive lung disease. Synergistic effects were observed among temperature, SO, and PM/PM. The impact of air pollutants on obstructive lung disease should consider these interactions.
慢性阻塞性肺疾病(COPD)是一种复杂的疾病,受到各种环境、生活方式和遗传因素的影响。环境空气污染已被确定为一个潜在的危险因素,2016 年导致全球 420 万人死亡,占所有 COPD 相关死亡人数的 25%和所有呼吸道感染相关死亡人数的 26%。本研究旨在评估慢性肺部疾病、空气污染和气象因素之间的关联。
本横断面研究从台湾生物银行和台湾空气质量监测数据库中获取数据。我们将阻塞性肺疾病定义为 FEV1/FVC<70%的患者。使用单向方差分析和卡方或 Fisher 精确检验对肺功能组间进行描述性分析。使用广义加性模型(GAM)通过方程和样条拟合来评估 SO 和 PM/PM 之间的关系。
共纳入 2635 名参与者。关于环境因素,较高的温度、较高的相对湿度和较低的降雨量是阻塞性肺病的危险因素。SO 与 PM 和 PM 呈正相关,相关系数分别为 0.53(<0.0001)和 0.52(p<0.0001)。此外,SO 改变了 PM[系数()=0.01,=0.0052]和 PM(=0.01,=0.0155)引起的阻塞性损害的相对风险。进一步按标准偏差(每 SD)增加进行分析显示,SO 还改变了 PM(=0.11,=0.0052)和 PM(=0.09,=0.0155)的关系。我们的 GAM 分析显示,模型 1 中 SO(每 SD)和 PM(每 SD)呈二次模式,模型 2 中 SO(每 SD)呈二次模式。此外,我们的研究结果证实了温度、SO 和 PM/PM 之间存在协同效应,因为模型 1 和 2 中 bivariate(SO 与 PM,SO 与 PM)薄平板平滑样条的显著关联证实了这一点(<0.0001)。
本研究表明高温、高湿度和低降雨量增加了阻塞性肺病的风险。温度、SO 和 PM/PM 之间存在协同作用。在考虑空气污染对阻塞性肺病的影响时,应考虑这些相互作用。