[Associations between personal fine particulate matter and blood lipid profiles: A panel study in Chinese people aged 60-69 years].

Objective: To explore the association between short-term exposures to fine particulate matter (PM2.5) on blood lipids in the elderly. Methods: In this panel study, five repeated measurements were performed on 76 people aged 60-69 in Jinan city. Each participant had a PM2.5 monitor for 72 hours before each health examination, including a questionnaire survey, physical examination, and biological sample collection. Serum triglycerides (TG), total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), and low-density lipoprotein cholesterol (LDL-C) were examined, and non-HDL-C concentrations were calculated by subtracting HDL-C from TC. The generalized linear mixed-effects model was used to quantify the association of personal PM2.5 exposure at different lag with blood lipids and dyslipidemia. Results: The age of 70 participants was (65.0±2.8) years, of which 48.6% (34/70) were males. The BMI of participants was (25.0±2.5) kg/m2. Their TC, TG, LDL-C, HDL-C, and non-HDL-C concentrations were (5.75±1.32), (1.55±0.53), (3.27±0.94), (1.78±0.52), and (3.97±1.06) mmol/L, respectively. Generalized linear mixed-effects model showed that after adjusting for confounding factors, at lag 72 hours, each 10 μg/m3 increase in PM2.5 was associated with the percentage change in TC, LDL-C, HDL-C and non-HDL-C about 1.77% (95%CI: 1.22%-2.32%), 1.90% (95%CI: 1.18%-2.63%), 1.99% (95%CI: 1.37%-2.60%) and 1.74% (95%CI: 1.11%-2.37%), and the OR values (95%CI) of hypercholesterolemia, hypertriglyceridemia and hyperbetalipoproteinemia were 1.11 (1.01-1.22), 1.33 (1.03-1.71) and 1.15 (1.01-1.31), respectively. Conclusion: There is a significant association of short-term PM2.5 exposure with the concentration of blood lipids and the risk of dyslipidemia in the elderly.目的： 研究大气细颗粒物（PM2.5）短期暴露对老年人血脂代谢的影响。 方法： 采用定群研究设计，于2018年9月至2019年1月，在山东省济南市招募76名60~69岁老年人并进行5次随访，每次随访开展3 d的个体暴露监测，随后进行问卷调查、体格检查和血样采集与检测。血脂检测项目包括甘油三酯（TG）、总胆固醇（TC）、高密度脂蛋白胆固醇（HDL-C）和低密度脂蛋白胆固醇（LDL-C），同时通过TC减HDL-C计算得到非高密度脂蛋白胆固醇（non-HDL-C）浓度。利用广义线性混合效应模型分析PM2.5个体暴露与老年人群血脂代谢的关联。 结果： 70名对象年龄为（65.0±2.8）岁；男性占48.6%（34名）；BMI为（25.0±2.5）kg/m2；TC、TG、LDL-C、HDL-C以及non-HDL-C浓度分别为（5.75±1.32）、（1.55±0.53）、（3.27±0.94）、（1.78±0.52）和（3.97±1.06）mmol/L。广义线性混合效应模型分析结果显示，调整混杂因素后，滞后72 h PM2. 5浓度每升高10 μg/m3，TC、LDL-C、HDL-C和non-HDL-C的百分比变化值（95%CI）分别为1.77%（1.22%~2.32%）、1.90%（1.18%~2.63%）、1.99%（1.37%~2.60%）和1.74%（1.11%~2.37%），高TC、高TG和高LDL-C的患病风险OR（95%CI）值分别为1.11（1.01~1.22）、1.33（1.03~1.71）和1.15（1.01~1.31）。 结论： PM2.5短期暴露对老年人血脂指标的浓度水平和血脂异常风险均有影响。.