Cai Huanle, Zhang Yuqin, Wei Jing, Lawrence Wayne R, Chen Shirui, Cheng Huanhuan, Tang Hui, Chen Dan, Wang Ying, Gu Jing, Zhang Wangjian, Hao Yuantao
School of Public Health/Sun Yat-sen Global Health Institute/Research Center for Health Information, Sun Yat-Sen University, Guangzhou, Guangdong, China.
Department of Atmospheric and Oceanic Science, Earth System Science Interdisciplinary Center, University of Maryland, College Park, USA.
Ecotoxicol Environ Saf. 2025 Feb;291:117897. doi: 10.1016/j.ecoenv.2025.117897. Epub 2025 Feb 14.
Evidence of the potential causal effect of PM and its constituents on all-cause mortality based on large population cohort is still limited. Based on a large scale cohort of 341,098 participants in southern China, we developed a marginal structure Cox model based on inverse probability weighting, an established causal inference approach, to evaluate the potential causal associations between PM constituents and all-cause mortality, taking into account time-varying covariates. Additionally, we further explored the modifying effects of demographic and lifestyle characteristics on these associations. For each IQR increase in black carbon and organic matter, the risk of all-cause mortality increased by 51 % (95 % CI: 40-62 %) and 52 % (95 % CI: 40-58 %), followed by ammonium, nitrate and sulfate (HR = 1.32, 1.38 and 1.39, respectively). Individuals < 65 years, unmarried, urban medical insured, not consuming alcohol, or not exercising were potentially more susceptible to the adverse effects for most PM constituents (P for interaction < 0.10). The HR estimates for these subgroups ranged from 1.51 to 2.10 for black carbon, 1.40-1.71 for nitrate, 1.42-1.53 for sulfate, and 1.52-1.77 for organic matter. Various sensitivity analyses verified the robustness of our findings. This study presented compelling evidence of potential causal links between PM constituents and all-cause mortality.
基于大规模人群队列研究的颗粒物(PM)及其成分对全因死亡率潜在因果效应的证据仍然有限。基于中国南方341,098名参与者的大规模队列,我们采用逆概率加权法建立了边际结构Cox模型,这是一种成熟的因果推断方法,以评估PM成分与全因死亡率之间的潜在因果关联,同时考虑了随时间变化的协变量。此外,我们进一步探讨了人口统计学和生活方式特征对这些关联的修正作用。黑碳和有机物每增加一个四分位间距,全因死亡率风险分别增加51%(95%置信区间:40 - 62%)和52%(95%置信区间:40 - 58%),其次是铵、硝酸盐和硫酸盐(风险比分别为1.32、1.38和1.39)。对于大多数PM成分,年龄<65岁、未婚、有城镇医保、不饮酒或不锻炼的个体可能更易受到不良影响(交互作用P<0.10)。这些亚组中黑碳的风险比估计值范围为1.51至2.10,硝酸盐为1.40 - 1.71,硫酸盐为1.42 - 1.53,有机物为1.52 - 1.77。各种敏感性分析验证了我们研究结果的稳健性。本研究提供了PM成分与全因死亡率之间潜在因果联系的有力证据。