Long-term exposure to PM2.5 and its components on human high low-density lipoprotein cholesterolemia: A 10-year cohort study in southwest China

IF 6.7 2区 环境科学与生态学 Q1 BIOTECHNOLOGY & APPLIED MICROBIOLOGY
Qinyu An , Hui Liu , Fuyan Zhang , Qingqing Zhan , Xiaoxue Li , Lihua Yin , Tao Liu
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引用次数: 0

Abstract

Background

Limited research has focused on the independent effects of PM2.5 chemical components sulfate (SO42-), nitrate (NO3-), ammonium (NH4+), organic matter (OM), and black carbon (BC) on high low-density lipoprotein cholesterolemia. Therefore, our research aims to investigate the potential casual links between long-term PM2.5 and its components exposure and high low-density lipoprotein cholesterolemia, while identifying potentially susceptible subpopulations.

Methods

The study included 5442 participants from the Guizhou Population Health Cohort Study (GPHCS), which lasted for 10 years. A time-dependent Cox proportional hazards regression model was applied to calculate hazard ratios (HRs) and 95 % confidence intervals (CIs) for the risk of high low-density lipoprotein cholesterolemia. General linear models (GLMs) were utilized to evaluate the association between PM2.5 and its components with low density lipoprotein cholesterol (LDL-C) levels.

Results

There was a total of 17,339.94 person-years (PYs), among which 1299 cases of high low-density lipoprotein cholesterolemia were found. All pollutants were associated with the incidence of high low-density lipoprotein cholesterolemia (P < 0.05) except for BC. Each 1 SD increase in PM2.5 (4.51 μg/m3) and PM2.5 chemical components, including SO42- (2.14 μg/m3) NO3- (1.36 μg/m3) NH4+ (0.92 μg/m3) OM (2.57 μg/m3) and BC(0.70 μg/m3), was associated with increased LDL-C levels by 0.78 mmol/L (95 % CI: 0.73–0.84), 0.42 mmol/L (95 % CI: 0.36–0.48), 0.58 mmol/L (95 % CI: 0.53–0.62), 0.50 mmol/L (95 % CI: 0.46–0.55), 0.40 mmol/L (95 % CI: 0.34–0.45), and 0.31 mmol/L (95 % CI: 0.25–0.37), respectively. Subgroup analysis revealed long-term exposure to PM2.5 and its components had a more substantial impact on minority population, individuals without exhaust ventilation, and those not using clean fuels.

Conclusion

This study shows that long-term exposure to PM2.5 and its components was associated with an increased risk of high low-density lipoprotein cholesterolemia and elevated LDL-C levels, especially among minorities and those without exhaust ventilation or clean fuels.
长期暴露于PM2.5及其成分对人体高低密度脂蛋白胆固醇血症的影响:中国西南地区10年队列研究
有限的研究集中在PM2.5化学成分硫酸盐(SO42-)、硝酸盐(NO3-)、铵(NH4+)、有机物(OM)和黑碳(BC)对高低密度脂蛋白胆固醇血症的独立影响。因此,我们的研究旨在调查长期PM2.5及其成分暴露与高低密度脂蛋白胆固醇血症之间的潜在偶然联系,同时确定潜在的易感亚人群。方法从贵州省人口健康队列研究(GPHCS)中选取5442名参与者,为期10年。采用时间相关的Cox比例风险回归模型计算高低密度脂蛋白胆固醇血症风险的风险比(hr)和95% %置信区间(CIs)。利用一般线性模型(GLMs)评估PM2.5及其成分与低密度脂蛋白胆固醇(LDL-C)水平之间的关系。结果共17339.94人-年(PYs),其中高低密度脂蛋白胆固醇血症1299例。除BC外,所有污染物均与高低密度脂蛋白胆固醇血症的发生率相关(P <; 0.05)。每增加1 SD PM2.5(4.51 μg / m3)和PM2.5化学成分,包括SO42 -(2.14 μg / m3) NO3(1.36 μg / m3) NH4 +(0.92 μg / m3) OM(2.57 μg / m3)和BC(0.70 μg / m3),与低密度脂蛋白胆固醇水平增加了0.78 更易/ L(95 % CI: 0.73 - -0.84), 0.42 更易/ L(95 % CI: 0.36 - -0.48), 0.58 更易/ L(95 % CI: 0.53 - -0.62), 0.50 更易/ L(95 % CI: 0.46 - -0.55), 0.40 更易/ L(95 %置信区间:0.34—-0.45),和0.31 更易/ L(95 %置信区间:0.25—-0.37),分别。亚组分析显示,长期暴露于PM2.5及其成分对少数民族、没有排气通风的人和不使用清洁燃料的人有更大的影响。本研究表明,长期暴露于PM2.5及其成分与高密度脂蛋白胆固醇血症和LDL-C水平升高的风险增加有关,特别是在少数民族和没有排气通风或清洁燃料的人群中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Environmental Technology & Innovation
Environmental Technology & Innovation Environmental Science-General Environmental Science
CiteScore
14.00
自引率
4.20%
发文量
435
审稿时长
74 days
期刊介绍: Environmental Technology & Innovation adopts a challenge-oriented approach to solutions by integrating natural sciences to promote a sustainable future. The journal aims to foster the creation and development of innovative products, technologies, and ideas that enhance the environment, with impacts across soil, air, water, and food in rural and urban areas. As a platform for disseminating scientific evidence for environmental protection and sustainable development, the journal emphasizes fundamental science, methodologies, tools, techniques, and policy considerations. It emphasizes the importance of science and technology in environmental benefits, including smarter, cleaner technologies for environmental protection, more efficient resource processing methods, and the evidence supporting their effectiveness.
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