{"title":"回复 \"长期暴露于环境微粒物质与认知能力之间的因果关系:孟德尔随机化的启示\"。","authors":"Kejia Hu, Jin Qi, Yao Yao","doi":"10.1016/j.jhazmat.2024.135622","DOIUrl":null,"url":null,"abstract":"<p><p>Li et al. [1] have commented on our recent paper investigating the association between exposure to fine particulate matter (PM<sub>2.5</sub>) 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<sub>2.5</sub> 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<sub>2.5</sub> and cognitive impairment in our study cohort.</p>","PeriodicalId":94082,"journal":{"name":"Journal of hazardous materials","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Reply to 'The causal relationship between long-term exposure to ambient fine particulate matter and cognitive performance: Insights from Mendelian randomization'.\",\"authors\":\"Kejia Hu, Jin Qi, Yao Yao\",\"doi\":\"10.1016/j.jhazmat.2024.135622\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Li et al. [1] have commented on our recent paper investigating the association between exposure to fine particulate matter (PM<sub>2.5</sub>) 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<sub>2.5</sub> 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<sub>2.5</sub> and cognitive impairment in our study cohort.</p>\",\"PeriodicalId\":94082,\"journal\":{\"name\":\"Journal of hazardous materials\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-10-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of hazardous materials\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1016/j.jhazmat.2024.135622\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/8/22 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of hazardous materials","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1016/j.jhazmat.2024.135622","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/8/22 0:00:00","PubModel":"Epub","JCR":"","JCRName":"","Score":null,"Total":0}
Reply to 'The causal relationship between long-term exposure to ambient fine particulate matter and cognitive performance: Insights from Mendelian randomization'.
Li et al. [1] have commented on our recent paper investigating the association between exposure to fine particulate matter (PM2.5) 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 PM2.5 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 PM2.5 and cognitive impairment in our study cohort.