Center of Health Administration and Development Studies, School of Public Health, Hubei University of Medicine, Shiyan, 442000, China.
Institute of Social Development and Health Management, Hubei Province Key Laboratory of Occupational Hazard Identification and Control, School of Public Health, Wuhan University of Science and Technology, Wuhan, 430065, China.
Sci Rep. 2024 Jul 13;14(1):16220. doi: 10.1038/s41598-024-66951-9.
Long-term mortality effects of particulate air pollution have been investigated in a causal analytic frame, while causal evidence for associations with gaseous air pollutants remains extensively lacking, especially for carbon monoxide (CO) and sulfur dioxide (SO). In this study, we estimated the causal relationship of long-term exposure to nitrogen dioxide (NO), CO, SO, and ozone (O) with mortality. Utilizing the data from National Morbidity, Mortality, and Air Pollution Study, we applied a variant of difference-in-differences (DID) method with conditional Poisson regression and generalized weighted quantile sum regression (gWQS) to investigate the independent and joint effects. Independent exposures to NO, CO, and SO were causally associated with increased risks of total, nonaccidental, and cardiovascular mortality, while no evident associations with O were identified in the entire population. In gWQS analyses, an interquartile range-equivalent increase in mixture exposure was associated with a relative risk of 1.067 (95% confidence interval: 1.010-1.126) for total mortality, 1.067 (1.009-1.128) for nonaccidental mortality, and 1.125 (1.060-1.193) for cardiovascular mortality, where NO was identified as the most significant contributor to the overall effect. This nationwide DID analysis provided causal evidence for independent and combined effects of NO, CO, SO, and O on increased mortality risks among the US general population.
长期以来,人们一直在因果分析框架中研究颗粒物空气污染对死亡率的影响,而与气态空气污染物相关联的因果证据仍然广泛缺乏,尤其是一氧化碳(CO)和二氧化硫(SO)。在这项研究中,我们估计了长期暴露于二氧化氮(NO)、CO、SO 和臭氧(O)与死亡率之间的因果关系。利用来自国家发病率、死亡率和空气污染研究的数据,我们应用了一种差异中的差异(DID)方法的变体,结合条件泊松回归和广义加权分位数和回归(gWQS)来研究独立和联合效应。NO、CO 和 SO 的独立暴露与总死亡率、非意外死亡率和心血管死亡率的风险增加有关,而在整个人群中,与 O 没有明显的关联。在 gWQS 分析中,混合暴露的四分位距等效增加与总死亡率的相对风险为 1.067(95%置信区间:1.010-1.126),非意外死亡率为 1.067(1.009-1.128),心血管死亡率为 1.125(1.060-1.193),其中 NO 被确定为总体效应的最主要贡献者。这项全国性 DID 分析为 NO、CO、SO 和 O 对美国一般人群死亡率增加的独立和综合影响提供了因果证据。