{"title":"老年人暴露于 PM2.5 对糖尿病发病率的影响及其与吸烟的交互效应。","authors":"Anthony Chen, Jiaqian Yin, Ying Ma, Jian Hou, Weiju Zhou, Zhongliang Bai, Xia Qin, Zhi Hu, Yuntao Chen, Eric J Brunner, Haidong Kan, Ruoling Chen","doi":"10.1016/j.scitotenv.2024.175219","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>To determine the impact of PM<sub>2.5</sub> exposure in old age and its interactive effect with smoking on incident diabetes.</p><p><strong>Methods: </strong>A total of 2766 participants aged ≥60 years in China were interviewed at baseline for disease risk factors in 2001-03 and were then followed up for 10 years to document incident diabetes. They were assessed for daily PM<sub>2.5</sub> exposure in 2005. Multivariate Cox regression models were used to examine the association of PM<sub>2.5</sub> exposure with incident diabetes and interactive effect between PM<sub>2.5</sub> and smoking on incident diabetes.</p><p><strong>Results: </strong>During the cohort follow-up, 176 participants developed diabetes. The incidence of diabetes increased with PM<sub>2.5</sub> exposure; the multiple-adjusted hazard ratio (HR) of diabetes was 2.27 (95 % CI 1.36-3.77) in participants with PM<sub>2.5</sub> at ≥62.0 μg/m<sup>3</sup> compared to those at <62.0 μg/m<sup>3</sup>. There was a significant interaction effect of PM<sub>2.5</sub> with smoking on increased risk of diabetes. The adjusted HR for participants exposed to PM<sub>2.5</sub> levels ≥62.0 μg/m<sup>3</sup> who smoked was 4.39 (95 % CI 1.72-11.21), while for non-smokers it was 1.65 (95 % CI 0.88-3.09), compared to those at <62.0 μg/m<sup>3</sup>.</p><p><strong>Conclusions: </strong>Exposure to PM<sub>2.5</sub> in old age was associated with an increased incidence of diabetes and smoking enhanced the impact of PM<sub>2.5</sub> on diabetic risk. These findings underscore the urgent need for air quality improvement measures and smoking cessation programs to mitigate the risk of diabetes in aging populations.</p>","PeriodicalId":422,"journal":{"name":"Science of the Total Environment","volume":" ","pages":"175219"},"PeriodicalIF":8.0000,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Impact of PM<sub>2.5</sub> exposure in old age and its interactive effect with smoking on incidence of diabetes.\",\"authors\":\"Anthony Chen, Jiaqian Yin, Ying Ma, Jian Hou, Weiju Zhou, Zhongliang Bai, Xia Qin, Zhi Hu, Yuntao Chen, Eric J Brunner, Haidong Kan, Ruoling Chen\",\"doi\":\"10.1016/j.scitotenv.2024.175219\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Purpose: </strong>To determine the impact of PM<sub>2.5</sub> exposure in old age and its interactive effect with smoking on incident diabetes.</p><p><strong>Methods: </strong>A total of 2766 participants aged ≥60 years in China were interviewed at baseline for disease risk factors in 2001-03 and were then followed up for 10 years to document incident diabetes. They were assessed for daily PM<sub>2.5</sub> exposure in 2005. Multivariate Cox regression models were used to examine the association of PM<sub>2.5</sub> exposure with incident diabetes and interactive effect between PM<sub>2.5</sub> and smoking on incident diabetes.</p><p><strong>Results: </strong>During the cohort follow-up, 176 participants developed diabetes. The incidence of diabetes increased with PM<sub>2.5</sub> exposure; the multiple-adjusted hazard ratio (HR) of diabetes was 2.27 (95 % CI 1.36-3.77) in participants with PM<sub>2.5</sub> at ≥62.0 μg/m<sup>3</sup> compared to those at <62.0 μg/m<sup>3</sup>. There was a significant interaction effect of PM<sub>2.5</sub> with smoking on increased risk of diabetes. The adjusted HR for participants exposed to PM<sub>2.5</sub> levels ≥62.0 μg/m<sup>3</sup> who smoked was 4.39 (95 % CI 1.72-11.21), while for non-smokers it was 1.65 (95 % CI 0.88-3.09), compared to those at <62.0 μg/m<sup>3</sup>.</p><p><strong>Conclusions: </strong>Exposure to PM<sub>2.5</sub> in old age was associated with an increased incidence of diabetes and smoking enhanced the impact of PM<sub>2.5</sub> on diabetic risk. These findings underscore the urgent need for air quality improvement measures and smoking cessation programs to mitigate the risk of diabetes in aging populations.</p>\",\"PeriodicalId\":422,\"journal\":{\"name\":\"Science of the Total Environment\",\"volume\":\" \",\"pages\":\"175219\"},\"PeriodicalIF\":8.0000,\"publicationDate\":\"2024-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Science of the Total Environment\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1016/j.scitotenv.2024.175219\",\"RegionNum\":1,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/8/2 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q1\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Science of the Total Environment","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1016/j.scitotenv.2024.175219","RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/8/2 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0
摘要
目的：确定老年PM2.5暴露及其与吸烟的交互作用对糖尿病发病的影响：方法：2001-2003年，对中国年龄≥60岁的2766名参与者进行了疾病风险因素基线访谈，然后进行了为期10年的随访，以记录糖尿病的发病情况。他们在 2005 年接受了每日 PM2.5 暴露评估。研究采用多变量Cox回归模型来检验PM2.5暴露与糖尿病发病的关系，以及PM2.5和吸烟对糖尿病发病的交互影响：结果：在队列随访期间，176名参与者罹患糖尿病。糖尿病发病率随PM2.5暴露量的增加而增加；PM2.5≥62.0 μg/m3的参与者与PM2.5≥3的参与者相比，糖尿病的多重调整危险比（HR）为2.27（95 % CI 1.36-3.77）。与吸烟者相比，PM2.5水平≥62.0 μg/m3的吸烟者的调整HR为4.39（95 % CI 1.72-11.21），而非吸烟者为1.65（95 % CI 0.88-3.09）：老年人暴露于PM2.5与糖尿病发病率的增加有关，而吸烟会增强PM2.5对糖尿病风险的影响。这些研究结果表明，迫切需要采取空气质量改善措施和戒烟计划来降低老龄人口患糖尿病的风险。
Impact of PM2.5 exposure in old age and its interactive effect with smoking on incidence of diabetes.
Purpose: To determine the impact of PM2.5 exposure in old age and its interactive effect with smoking on incident diabetes.
Methods: A total of 2766 participants aged ≥60 years in China were interviewed at baseline for disease risk factors in 2001-03 and were then followed up for 10 years to document incident diabetes. They were assessed for daily PM2.5 exposure in 2005. Multivariate Cox regression models were used to examine the association of PM2.5 exposure with incident diabetes and interactive effect between PM2.5 and smoking on incident diabetes.
Results: During the cohort follow-up, 176 participants developed diabetes. The incidence of diabetes increased with PM2.5 exposure; the multiple-adjusted hazard ratio (HR) of diabetes was 2.27 (95 % CI 1.36-3.77) in participants with PM2.5 at ≥62.0 μg/m3 compared to those at <62.0 μg/m3. There was a significant interaction effect of PM2.5 with smoking on increased risk of diabetes. The adjusted HR for participants exposed to PM2.5 levels ≥62.0 μg/m3 who smoked was 4.39 (95 % CI 1.72-11.21), while for non-smokers it was 1.65 (95 % CI 0.88-3.09), compared to those at <62.0 μg/m3.
Conclusions: Exposure to PM2.5 in old age was associated with an increased incidence of diabetes and smoking enhanced the impact of PM2.5 on diabetic risk. These findings underscore the urgent need for air quality improvement measures and smoking cessation programs to mitigate the risk of diabetes in aging populations.
期刊介绍：
The Science of the Total Environment is an international journal dedicated to scientific research on the environment and its interaction with humanity. It covers a wide range of disciplines and seeks to publish innovative, hypothesis-driven, and impactful research that explores the entire environment, including the atmosphere, lithosphere, hydrosphere, biosphere, and anthroposphere.
The journal's updated Aims & Scope emphasizes the importance of interdisciplinary environmental research with broad impact. Priority is given to studies that advance fundamental understanding and explore the interconnectedness of multiple environmental spheres. Field studies are preferred, while laboratory experiments must demonstrate significant methodological advancements or mechanistic insights with direct relevance to the environment.
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