School of the Biomedical Convergence Engineering, Pusan National University, Yangsan, Republic of Korea.
Department of Public Health Sciences, Graduate School of Public Health, Seoul, Republic of Korea.
Environ Res. 2024 Nov 15;261:119712. doi: 10.1016/j.envres.2024.119712. Epub 2024 Aug 2.
Previous studies reported that short-term exposure to ground-level ozone is associated with mortality risk. However, due to the limited monitored areas, existing studies were limited in assessing the nationwide risk and suggesting specific vulnerable populations to the ozone-mortality risk.
We performed a nationwide time-stratified case-crossover study to evaluate the association between short-term ozone and cause-specific mortality in South Korea (2015-2019). A machine learning-ensemble prediction model (a test R > 0.96) was used to assess the short-term ozone exposure. Stratification analysis was conducted to examine the high-risk populations, and the excess mortality due to non-compliance with the WHO guideline was also assessed.
For all-cause mortality (1,343,077 cases), the risk associated with ozone (lag0- 1) was weakly identified (odd ratio: 1.005 with 95% CI: 0.997-1.014), and the risk was prominent in mortality with circulatory system diseases. In addition, based on the point estimates, the ozone-mortality risk was higher in people aged less than 65y, and this pattern was also observed in circulatory system disease deaths and urban areas.
This study provides national estimates of mortality risks associated with short-term ozone. Results showed that the benefits of stricter air quality standards could be greater in vulnerable populations.
先前的研究报告指出,短期接触地面臭氧与死亡风险相关。然而,由于监测区域有限,现有研究在评估全国范围内的风险以及提示臭氧-死亡率风险的特定脆弱人群方面存在局限性。
我们进行了一项全国性的时间分层病例交叉研究,以评估韩国(2015-2019 年)短期臭氧与特定原因死亡率之间的关系。使用机器学习集成预测模型(测试 R>0.96)来评估短期臭氧暴露。进行分层分析以检查高风险人群,并且还评估了不符合世界卫生组织指南导致的超额死亡。
对于全因死亡率(1,343,077 例),臭氧(lag0-1)相关风险的识别较弱(比值比:1.005,95%置信区间:0.997-1.014),并且在循环系统疾病死亡率中风险明显。此外,根据点估计,臭氧-死亡率风险在年龄小于 65 岁的人群中更高,这种模式在循环系统疾病死亡和城市地区也存在。
本研究提供了与短期臭氧相关的死亡率风险的全国性估计。结果表明,在脆弱人群中,更严格的空气质量标准的益处可能更大。