Department of Big Data in Health Science School of Public Health, Zhejiang University, 310058 Hangzhou, China.
Department of Big Data in Health Science School of Public Health, Zhejiang University, 310058 Hangzhou, China.
J Hazard Mater. 2024 Oct 5;478:135622. doi: 10.1016/j.jhazmat.2024.135622. Epub 2024 Aug 22.
Li et al. [1] have commented on our recent paper investigating the association between exposure to fine particulate matter (PM) constituents and the risk of cognitive impairment [2]. They provided a Mendelian randomization (MR) analysis using large-scale genome-wide association study (GWAS) datasets from the European population, confirming a causal relationship between PM exposure and cognitive performance. In our reply, we employed three causal inference models, including a generalized propensity score (GPS) adjusted Cox model, an inverse-probability weights (IPW) weighted Cox model, and a trimmed IPW-weighted Cox model, to confirm the relationship of PM and cognitive impairment in our study cohort.
李等人[1]对我们最近研究细颗粒物（PM）成分暴露与认知障碍风险之间关系的论文[2]发表了评论。他们利用来自欧洲人群的大规模全基因组关联研究（GWAS）数据集进行了孟德尔随机化（MR）分析，证实了 PM 暴露与认知表现之间存在因果关系。在我们的回复中，我们采用了三种因果推断模型，包括广义倾向评分（GPS）调整 Cox 模型、逆概率权重（IPW）加权 Cox 模型和修剪 IPW 加权 Cox 模型，以确认我们研究队列中 PM 与认知障碍的关系。
