大气细颗粒物短期暴露对老年人血脂代谢的影响  

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

作　　者：王蛟男 李湉湉 方建龙[2] 唐宋[1,2] 张翼 邓富昌[2] 沈冲 石婉荧[2] 刘园园 陈晨 孙庆华[2] 王彦文[2] 杜艳君 董皓冉[2] 施小明 Wang Jiaonan;Li Tiantian;Fang Jianlong;Tang Song;Zhang Yi;Deng Fuchang;Shen Chong;Shi Wanying;Liu Yuanyuan;Chen Chen;Sun Qinghua;Wang Yanwen;Du Yanjun;Dong Haoran;Shi Xiaoming(Center for Global Health,School of Public Health,Nanjing Medical University,Nanjing 211166,China;China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health,Chinese Center for Disease Control and Prevention,Beijing 100021,China)

机构地区：[1]南京医科大学公共卫生学院全球健康中心,南京211166 [2]中国疾病预防控制中心环境与人群健康重点实验室中国疾病预防控制中心环境与健康相关产品安全所,北京100021

出　　处：《中华预防医学杂志》2022年第7期897-901,共5页Chinese Journal of Preventive Medicine

基　　金：大气重污染成因与治理攻关项目(DQGG0401)。

摘　　要：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。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 10μg/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.

关 键 词：细颗粒物 老年人 血脂异常 定群研究 

分 类 号：R589.2[医药卫生—内分泌]