Estimating causal links of long-term exposure to particulate matters with all-cause mortality in South China.
Estimating causal links of long-term exposure to particulate matters with all-cause mortality in South China.
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DOI：
10.1016/j.envint.2022.107726
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发表时间：
2023-01
影响因子：
11.8
通讯作者：
Ying Wang;Jingwa Wei;Yuqin Zhang;T. Guo;Shi Chen;Wenjing Wu;Shimin Chen;Ziqiang Li;Y. Qu;Jianpeng Xiao;Xinlei Deng;Yu Liu;Zhicheng Du;Wangjian Zhang;Yuantao Hao
中科院分区：
文献类型：
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作者：
Ying Wang;Jingwa Wei;Yuqin Zhang;T. Guo;Shi Chen;Wenjing Wu;Shimin Chen;Ziqiang Li;Y. Qu;Jianpeng Xiao;Xinlei Deng;Yu Liu;Zhicheng Du;Wangjian Zhang;Yuantao Hao
背景长期颗粒物（PM）暴露与全因死亡率之间的关系已被充分证明。然而，高暴露人群的证据仍然有限，特别是PM 1，它比其他常见的研究颗粒更小，但毒性更大。我们的目的是研究长期PMs暴露与高暴露地区全因死亡率的潜在因果关系。2009-2015年期间，中国南方共招募了580，757名参与者，并随访至2020年。通过验证的时空模型，在1 km 2的空间分辨率的PM 1，PM2. 5，和PM10的年平均浓度进行了评估，为每个居住地址。我们使用边际结构考克斯模型来估计PM与死亡率的关系，并进一步根据社会人口学、生活方式因素和一般暴露水平进行分层。暴露于所有3种PM粒度组分的增加与全因死亡风险增加显著相关，风险比（HR）为1.042 PM 1、PM2.5和PM10浓度每增加1 μg/m3，分别为1.031（95%置信区间（CI）：1.037-1.046）、1.031（95% CI：1.028-1.033）和1.029（95% CI：1.027-1.031）。我们观察到老年人（年龄≥ 65岁）、未婚受试者和受教育程度低的受试者的效应估计值更高。此外，PM 1，PM2.5，和PM10的效果往往是更高的低暴露组比在一般population.ConclusionsWe提供了全面的证据长期PM暴露和全因死亡率之间的潜在因果关系，并建议更强的联系PM 1相比，大颗粒和某些脆弱的亚组。
BackgroundThe association between long-term particulate matter (PM) exposure and all-cause mortality has been well-documented. However, evidence is still limited from high-exposed cohorts, especially for PM1which is smaller while more toxic than other commonly investigated particles. We aimed to examine the potential casual links of long-term PMs exposure with all-cause mortality in high-exposed areas.MethodsA total of 580,757 participants in southern China were enrolled during 2009–2015 and followed up to 2020. The annual average concentration of PM1, PM2.5, and PM10at 1 km2spatial resolution was assessed for each residential address through validated spatiotemporal models. We used marginal structural Cox models to estimate the PM-mortality associations which were further stratified by sociodemographic, lifestyle factors and general exposure levels.Results37,578 deaths were totally identified during averagely 8.0 years of follow-up. Increased exposure to all 3 PM size fractions were significantly associated with increased risk of all-cause mortality, with hazard ratios (HRs) of 1.042 (95 % confidence interval (CI): 1.037–1.046), 1.031 (95 % CI: 1.028–1.033), and 1.029 (95 % CI: 1.027–1.031) per 1 μg/m3increase in PM1, PM2.5, and PM10concentrations, respectively. We observed greater effect estimates among the elderly (age ≥ 65 years), unmarried participants, and those with low education attainment. Additionally, the effect of PM1, PM2.5, and PM10tend to be higher in the low-exposure group than in the general population.ConclusionsWe provided comprehensive evidence for the potential causal links between long-term PM exposure and all-cause mortality, and suggested stronger links for PM1compared to large particles and among certain vulnerable subgroups.