{"title":"减少PM2.5暴露降低血脂异常风险:一项纵向准实验研究。","authors":"Dezhong Chen, Yiyue Yin, Dongmei Yu, Ling Zhang, Weiyi Chen, Jian Xu, Ting Xiao, Hung Chak Ho, Neil Thomas, Yu Huang, Xiang Qian Lao","doi":"10.1093/aje/kwaf192","DOIUrl":null,"url":null,"abstract":"<p><p>Evidence demonstrating the beneficial effects of improved air quality on lipid health is scarce. This study addresses this gap by examining whether reducing PM2.5 exposure can decrease the risk of dyslipidemia. We conducted a longitudinal quasi-experimental study using the Taiwan MJ and Hong Kong MJ cohorts from 2000 to 2018. A total of 8,808 adults with consistently high PM2.5 exposure (≥ 25 μg/m3) were paired with 4,612 adults whose PM2.5 exposure decreased from high to low levels (< 25 μg/m3) using propensity score matching. Cox regression models with time-dependent covariates were used to analyze the associations between PM2.5 reduction and the risk of dyslipidemia, as well as individual lipid abnormalities. We found that participants with reducing PM2.5 exposure had a significantly lower risk of dyslipidemia compared to their counterparts (HR = 0.75, 95% CI: 0.68, 0.84). Non-linear concentration-response relationships were observed. Similar associations were found for elevated TC (HR = 0.61, 95% CI: 0.51, 0.74) and LDL-C (HR = 0.69, 95% CI: 0.57, 0.84), and decreased HDL-C (HR = 0.59, 95% CI: 0.47, 0.75). Reducing PM2.5 exposure significantly lowers the risk of dyslipidemia and improves lipid profiles, providing direct evidence of the health benefits associated with air quality improvement.</p>","PeriodicalId":7472,"journal":{"name":"American journal of epidemiology","volume":" ","pages":""},"PeriodicalIF":4.8000,"publicationDate":"2025-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Reducing PM2.5 Exposure Lowers Dyslipidemia Risk: A Longitudinal Quasi-Experimental Study.\",\"authors\":\"Dezhong Chen, Yiyue Yin, Dongmei Yu, Ling Zhang, Weiyi Chen, Jian Xu, Ting Xiao, Hung Chak Ho, Neil Thomas, Yu Huang, Xiang Qian Lao\",\"doi\":\"10.1093/aje/kwaf192\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Evidence demonstrating the beneficial effects of improved air quality on lipid health is scarce. This study addresses this gap by examining whether reducing PM2.5 exposure can decrease the risk of dyslipidemia. We conducted a longitudinal quasi-experimental study using the Taiwan MJ and Hong Kong MJ cohorts from 2000 to 2018. A total of 8,808 adults with consistently high PM2.5 exposure (≥ 25 μg/m3) were paired with 4,612 adults whose PM2.5 exposure decreased from high to low levels (< 25 μg/m3) using propensity score matching. Cox regression models with time-dependent covariates were used to analyze the associations between PM2.5 reduction and the risk of dyslipidemia, as well as individual lipid abnormalities. We found that participants with reducing PM2.5 exposure had a significantly lower risk of dyslipidemia compared to their counterparts (HR = 0.75, 95% CI: 0.68, 0.84). Non-linear concentration-response relationships were observed. Similar associations were found for elevated TC (HR = 0.61, 95% CI: 0.51, 0.74) and LDL-C (HR = 0.69, 95% CI: 0.57, 0.84), and decreased HDL-C (HR = 0.59, 95% CI: 0.47, 0.75). Reducing PM2.5 exposure significantly lowers the risk of dyslipidemia and improves lipid profiles, providing direct evidence of the health benefits associated with air quality improvement.</p>\",\"PeriodicalId\":7472,\"journal\":{\"name\":\"American journal of epidemiology\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":4.8000,\"publicationDate\":\"2025-08-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"American journal of epidemiology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1093/aje/kwaf192\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"American journal of epidemiology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1093/aje/kwaf192","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}
Reducing PM2.5 Exposure Lowers Dyslipidemia Risk: A Longitudinal Quasi-Experimental Study.
Evidence demonstrating the beneficial effects of improved air quality on lipid health is scarce. This study addresses this gap by examining whether reducing PM2.5 exposure can decrease the risk of dyslipidemia. We conducted a longitudinal quasi-experimental study using the Taiwan MJ and Hong Kong MJ cohorts from 2000 to 2018. A total of 8,808 adults with consistently high PM2.5 exposure (≥ 25 μg/m3) were paired with 4,612 adults whose PM2.5 exposure decreased from high to low levels (< 25 μg/m3) using propensity score matching. Cox regression models with time-dependent covariates were used to analyze the associations between PM2.5 reduction and the risk of dyslipidemia, as well as individual lipid abnormalities. We found that participants with reducing PM2.5 exposure had a significantly lower risk of dyslipidemia compared to their counterparts (HR = 0.75, 95% CI: 0.68, 0.84). Non-linear concentration-response relationships were observed. Similar associations were found for elevated TC (HR = 0.61, 95% CI: 0.51, 0.74) and LDL-C (HR = 0.69, 95% CI: 0.57, 0.84), and decreased HDL-C (HR = 0.59, 95% CI: 0.47, 0.75). Reducing PM2.5 exposure significantly lowers the risk of dyslipidemia and improves lipid profiles, providing direct evidence of the health benefits associated with air quality improvement.
期刊介绍:
The American Journal of Epidemiology is the oldest and one of the premier epidemiologic journals devoted to the publication of empirical research findings, opinion pieces, and methodological developments in the field of epidemiologic research.
It is a peer-reviewed journal aimed at both fellow epidemiologists and those who use epidemiologic data, including public health workers and clinicians.