BMI在空气污染与非酒精性脂肪性肝病关系中的中介和调节作用：一项前瞻性队列研究

IF 7.3 2区环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES

Environmental Pollution Pub Date : 2025-05-29 DOI:10.1016/j.envpol.2025.126570

Zhuowen Wang , Shaofei Yu , Bin Yang , Pengpeng Wang , Yongli Yang , Yacong Bo , Wei Wang

{"title":"BMI在空气污染与非酒精性脂肪性肝病关系中的中介和调节作用：一项前瞻性队列研究","authors":"Zhuowen Wang , Shaofei Yu , Bin Yang , Pengpeng Wang , Yongli Yang , Yacong Bo , Wei Wang","doi":"10.1016/j.envpol.2025.126570","DOIUrl":null,"url":null,"abstract":"<div><div>The associations between air pollution exposure and nonalcoholic fatty liver disease (NAFLD) remain unclear. The present study included 313,102 individuals from the UK Biobank. Data on air pollution included PM2.5, PMcoarse, PM10, PM2.5absorbance, nitrogen dioxide (NO2), and nitrogen oxides (NOx). A weighted air pollution score (WAPS) was created using PM10 and NOx to evaluate the comprehensive exposure to the five air contaminants. Using Cox proportional hazard models and restricted cubic spline (RCS) models, the relationship between air pollution exposure and the developing NAFLD risk was examined. We also examined the mediating role of BMI. We found that the increased risk of NAFLD was positively correlated with PM2.5, PMcoarse, PM10, PM2.5absorbance, NO2, NOx, and WAPS (all P-trend <0.05). In comparison to individuals who were in the lowest quartile for air contaminants exposure, the HRs of NAFLD for those exposed to the highest quartile were: PM2.5: 1.33 (95 % CI: 1.22 to 1.45), PMcoarse: 1.12 (95 % CI: 1.03 to 1.22), PM10: 1.15 (95 % CI: 1.05 to 1.25), PM2.5 absorbance: 1.27 (95 % CI: 1.17 to 1.39), NO2: 1.38 (95 % CI:1.26 to 1.50), NOx: 1.33 (95 % CI:1.22 to 1.45), and WAPS: 1.32 (95 % CI:1.21 to 1.44). No correlation was found between WAPS and NAFLD risk in those who were normal weight, but it was strong in overweight and obese people. BMI (mediated proportion: 8.18 % for PM2.5; 2.89 % for PM2.5absorbance; 18.8 % for PMcoarse; 12.32 % for PM10; 4.09 % for NO2; 7.72 % for NOX; 8.44 % for WAPS) significantly mediated a portion of the link between air pollution exposure and NAFLD (all PIE < 0.05). Overall, air pollution exposure can increase the developing NAFLD risk, and BMI significantly modifies and mediates the connection. These findings served as mechanical evidence that air pollution contributes to NAFLD in epidemiological investigations.</div></div>","PeriodicalId":311,"journal":{"name":"Environmental Pollution","volume":"381 ","pages":"Article 126570"},"PeriodicalIF":7.3000,"publicationDate":"2025-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The mediating and moderating effect of BMI in the relationship between air pollution and nonalcoholic fatty liver disease: A prospective cohort study\",\"authors\":\"Zhuowen Wang , Shaofei Yu , Bin Yang , Pengpeng Wang , Yongli Yang , Yacong Bo , Wei Wang\",\"doi\":\"10.1016/j.envpol.2025.126570\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The associations between air pollution exposure and nonalcoholic fatty liver disease (NAFLD) remain unclear. The present study included 313,102 individuals from the UK Biobank. Data on air pollution included PM2.5, PMcoarse, PM10, PM2.5absorbance, nitrogen dioxide (NO2), and nitrogen oxides (NOx). A weighted air pollution score (WAPS) was created using PM10 and NOx to evaluate the comprehensive exposure to the five air contaminants. Using Cox proportional hazard models and restricted cubic spline (RCS) models, the relationship between air pollution exposure and the developing NAFLD risk was examined. We also examined the mediating role of BMI. We found that the increased risk of NAFLD was positively correlated with PM2.5, PMcoarse, PM10, PM2.5absorbance, NO2, NOx, and WAPS (all P-trend <0.05). In comparison to individuals who were in the lowest quartile for air contaminants exposure, the HRs of NAFLD for those exposed to the highest quartile were: PM2.5: 1.33 (95 % CI: 1.22 to 1.45), PMcoarse: 1.12 (95 % CI: 1.03 to 1.22), PM10: 1.15 (95 % CI: 1.05 to 1.25), PM2.5 absorbance: 1.27 (95 % CI: 1.17 to 1.39), NO2: 1.38 (95 % CI:1.26 to 1.50), NOx: 1.33 (95 % CI:1.22 to 1.45), and WAPS: 1.32 (95 % CI:1.21 to 1.44). No correlation was found between WAPS and NAFLD risk in those who were normal weight, but it was strong in overweight and obese people. BMI (mediated proportion: 8.18 % for PM2.5; 2.89 % for PM2.5absorbance; 18.8 % for PMcoarse; 12.32 % for PM10; 4.09 % for NO2; 7.72 % for NOX; 8.44 % for WAPS) significantly mediated a portion of the link between air pollution exposure and NAFLD (all PIE < 0.05). Overall, air pollution exposure can increase the developing NAFLD risk, and BMI significantly modifies and mediates the connection. These findings served as mechanical evidence that air pollution contributes to NAFLD in epidemiological investigations.</div></div>\",\"PeriodicalId\":311,\"journal\":{\"name\":\"Environmental Pollution\",\"volume\":\"381 \",\"pages\":\"Article 126570\"},\"PeriodicalIF\":7.3000,\"publicationDate\":\"2025-05-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Environmental Pollution\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0269749125009431\",\"RegionNum\":2,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Environmental Pollution","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0269749125009431","RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}

引用次数: 0

摘要

空气污染暴露与非酒精性脂肪性肝病（NAFLD）之间的关系尚不清楚。目前的研究包括来自英国生物银行的313,102个人。空气污染数据包括PM2.5、pm粗、PM10、PM2.5吸光度、二氧化氮（NO2）和氮氧化物（NOx）。使用PM10和NOx创建加权空气污染评分（WAPS）来评估五种空气污染物的综合暴露程度。采用Cox比例风险模型和限制性三次样条（RCS）模型，探讨空气污染暴露与NAFLD发病风险之间的关系。我们还研究了BMI的中介作用。我们发现NAFLD风险增加与PM2.5、pm粗、PM10、PM2.5吸光度、NO2、NOx和WAPS呈正相关(均为P-trend <；0.05)。与空气污染物暴露最低四分位数的个体相比，暴露于最高四分位数的个体NAFLD的HRs为：PM2.5: 1.33 (95% CI:1.22至1.45),PMcoarse: 1.12 (95% CI: 1.03至1.22),PM10: 1.15 (95% CI: 1.05至1.25),PM2.5吸光度：1.27 (95% CI: 1.17至1.39),NO2: 1.38 (95% CI:1.26至1.50),NOx: 1.33 (95% CI:1.22至1.45),WAPS: 1.32 （95% CI:1.21至1.44）。在体重正常的人群中，WAPS和NAFLD风险之间没有相关性，但在超重和肥胖人群中相关性很强。BMI （PM2.5）介导比例：8.18%；pm2.5吸光度2.89%；细颗粒物18.8%；PM10为12.32%；NO2为4.09%；7.72%为NOX；8.44%的WAPS)显著介导了空气污染暴露与NAFLD之间的部分联系(所有PIE <；0.05)。总体而言，空气污染暴露可增加NAFLD的发生风险，BMI显著调节和调节了这一联系。这些发现在流行病学调查中作为空气污染导致NAFLD的机械证据。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

The mediating and moderating effect of BMI in the relationship between air pollution and nonalcoholic fatty liver disease: A prospective cohort study

查看原文本刊更多论文

The mediating and moderating effect of BMI in the relationship between air pollution and nonalcoholic fatty liver disease: A prospective cohort study

The associations between air pollution exposure and nonalcoholic fatty liver disease (NAFLD) remain unclear. The present study included 313,102 individuals from the UK Biobank. Data on air pollution included PM_2.5, PM_coarse, PM₁₀, PM_{2.5absorbance}, nitrogen dioxide (NO₂), and nitrogen oxides (NO_x). A weighted air pollution score (WAPS) was created using PM₁₀ and NO_x to evaluate the comprehensive exposure to the five air contaminants. Using Cox proportional hazard models and restricted cubic spline (RCS) models, the relationship between air pollution exposure and the developing NAFLD risk was examined. We also examined the mediating role of BMI. We found that the increased risk of NAFLD was positively correlated with PM_2.5, PM_coarse, PM₁₀, PM_{2.5absorbance}, NO₂, NO_x, and WAPS (all P-trend <0.05). In comparison to individuals who were in the lowest quartile for air contaminants exposure, the HRs of NAFLD for those exposed to the highest quartile were: PM_2.5: 1.33 (95 % CI: 1.22 to 1.45), PM_coarse: 1.12 (95 % CI: 1.03 to 1.22), PM₁₀: 1.15 (95 % CI: 1.05 to 1.25), PM_{2.5 absorbance}: 1.27 (95 % CI: 1.17 to 1.39), NO₂: 1.38 (95 % CI:1.26 to 1.50), NO_x: 1.33 (95 % CI:1.22 to 1.45), and WAPS: 1.32 (95 % CI:1.21 to 1.44). No correlation was found between WAPS and NAFLD risk in those who were normal weight, but it was strong in overweight and obese people. BMI (mediated proportion: 8.18 % for PM_2.5; 2.89 % for PM_{2.5absorbance}; 18.8 % for PM_coarse; 12.32 % for PM₁₀; 4.09 % for NO₂; 7.72 % for NO_X; 8.44 % for WAPS) significantly mediated a portion of the link between air pollution exposure and NAFLD (all P_IE < 0.05). Overall, air pollution exposure can increase the developing NAFLD risk, and BMI significantly modifies and mediates the connection. These findings served as mechanical evidence that air pollution contributes to NAFLD in epidemiological investigations.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Environmental Pollution 环境科学-环境科学

CiteScore

16.00

自引率

6.70%

发文量

2082

审稿时长

2.9 months

期刊介绍： Environmental Pollution is an international peer-reviewed journal that publishes high-quality research papers and review articles covering all aspects of environmental pollution and its impacts on ecosystems and human health. Subject areas include, but are not limited to: • Sources and occurrences of pollutants that are clearly defined and measured in environmental compartments, food and food-related items, and human bodies; • Interlinks between contaminant exposure and biological, ecological, and human health effects, including those of climate change; • Contaminants of emerging concerns (including but not limited to antibiotic resistant microorganisms or genes, microplastics/nanoplastics, electronic wastes, light, and noise) and/or their biological, ecological, or human health effects; • Laboratory and field studies on the remediation/mitigation of environmental pollution via new techniques and with clear links to biological, ecological, or human health effects; • Modeling of pollution processes, patterns, or trends that is of clear environmental and/or human health interest; • New techniques that measure and examine environmental occurrences, transport, behavior, and effects of pollutants within the environment or the laboratory, provided that they can be clearly used to address problems within regional or global environmental compartments.