越来越多的研究表明,长期暴露于细颗粒物(PM2.5)与心血管疾病(CVD)有关。然而,关于PM2.5和CVD危险因素之间关系的证据仍然不一致.我们假设这种关联可能会被社会经济地位(SES)部分修改。为了研究这些关系并测试SES的修改效果,我们纳入了2017年9月至2018年5月21,018名成年人的基线数据.PM2.5浓度是通过将从参与者的住宅和工作场所附近的监测站获得的线性测量值合并来确定的。我们评估了几个领域的SES,包括收入,教育,和职业水平,以及通过综合SES指数。结果表明,PM2.5暴露量每增加10μg/m3,高胆固醇血症的风险,高β脂蛋白血症,糖尿病,高同型半胱氨酸血症(HHcy)增加7.7%[赔率(OR)=1.077,95%置信区间(CI)=1.011,1.146],19.6%(OR=1.196,95%CI=1.091,1.312),4.2%(OR=1.042,95%CI=1.002,1.084),17.1%(OR=1.171,95%CI=1.133,1.209),分别。与高SES组相比,SES较低的人更容易出现高胆固醇血症,高β脂蛋白血症,糖尿病,还有HHcy.值得注意的是,在PM2.5暴露与高胆固醇血症和高β脂蛋白血症之间的关系中,SES差异显着。但是对于糖尿病和HHcy,SES对PM2.5的修饰效应表现出不一致的规律。总之,结果证实PM2.5与心血管危险因素之间的关联以及低SES显著放大了PM2.5对血脂异常的不利影响.必须强调必须改善北京成年人之间的社会经济不平等,并有助于理解保护弱势群体健康的紧迫性。
Accumulating research suggested that long-term exposure to fine particulate matter (PM2.5) is related to cardiovascular disease (CVD). However, evidence regarding the relationship between PM2.5 and CVD risk factors remains inconsistent. We hypothesized that this association may be partially modified by socioeconomic status (
SES). To investigate the relationships and to test the modifying effect of
SES, we included baseline data for 21,018 adults from September 2017 to May 2018. PM2.5 concentrations were determined by employing an amalgamation of linear measurements obtained from monitoring stations located near the participants\' residential and workplace addresses. We assessed SES across several domains, including income, education, and occupation levels, as well as through a composite
SES index. The results indicated that for every 10 μg/m3 increase in PM2.5 exposure, the risk of hypercholesterolemia, hyperbetalipoproteinemia, diabetes, and hyperhomocysteinemia (HHcy) increased by 7.7% [Odds ratio (OR) = 1.077, 95% Confidence Interval (CI) = 1.011, 1.146], 19.6% (OR = 1.196, 95% CI = 1.091, 1.312), 4.2% (OR = 1.042, 95% CI = 1.002, 1.084), and 17.1% (OR = 1.171, 95% CI = 1.133, 1.209), respectively. Compared to the high
SES group, those with low
SES are more prone to hypercholesterolemia, hyperbetalipoproteinemia, diabetes, and HHcy. Notably, the disparities in SES appear significant in the relationship between PM2.5 exposure and hypercholesterolemia as well as hyperbetalipoproteinemia. But for diabetes and HHcy, the modification effect of
SES on PM2.5 shows an inconsistent pattern. In conclusion, the results confirm the association between PM2.5 and cardiovascular risk factors and low SES significantly amplified the adverse PM2.5 effect on dyslipidemia. It is crucial to emphasize a need to improve the socioeconomic inequality among adults in Beijing and contribute to the understanding of the urgency in protecting the health of vulnerable groups.