| 吉赛赛,吕跃斌,赵峰,曲英莉,李峥,李亚伟,宋士勋,张文丽,刘迎春,蔡嘉旖,宋皓璨,李丹丹,吴兵,刘洋,郑栩琳,胡俊明,朱英,曹兆进,施小明.我国19~79岁成年人血铅和血硒与血清超敏C反应蛋白的关联[J].Chinese journal of Epidemiology,2022,43(2):195-200 |
| 我国19~79岁成年人血铅和血硒与血清超敏C反应蛋白的关联 |
| Association of blood lead and blood selenium with serum high-sensitivity C-reactive protein among Chinese adults aged 19 to 79 years |
| Received:July 15, 2021 |
| DOI：10.3760/cma.j.cn112338-20210715-00555 |
| KeyWord: 血铅 血硒 超敏C反应蛋白 交互作用 |
| English Key Word: Blood lead Blood selenium High-sensitivity C-reactive protein Interaction |
| FundProject:国家卫生健康委员会公共卫生专项（131031108000160004） |
| Author Name | Affiliation | E-mail | | Ji Saisai | China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China | | | Lyu Yuebin | China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China | | | Zhao Feng | China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China | | | Qu Yingli | China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China | | | Li Zheng | China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China | | | Li Yawei | China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China | | | Song Shixun | China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China | | | Zhang Wenli | China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China | | | Liu Yingchun | China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China | | | Cai Jiayi | China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China | | | Song Haocan | China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China | | | Li Dandan | China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China | | | Wu Bing | China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China | | | Liu Yang | China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
School of Public Health, Jilin University, Changchun 130012, China | | | Zheng Xulin | China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China | | | Hu Junming | China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China | | | Zhu Ying | China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China | | | Cao Zhaojin | China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China | | | Shi Xiaoming | China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China | shixm@chinacdc.cn |
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| Abstract: |
| 目的 分析我国19~79岁成年人中血铅和血硒与血清超敏C反应蛋白（hs-CRP）升高的关联。方法 调查对象来自第一轮中国国家人体生物监测项目（2017-2018年），共纳入10 153名19~79岁的成年人。采集调查对象的空腹静脉血，检测全血中铅和硒的水平、血清hs-CRP水平，将hs-CRP>3.0 mg/L定义为hs-CRP升高。采用广义线性混合效应模型和限制性立方样条函数分析血铅和血硒与血清hs-CRP升高的关联。采用logistic回归模型分析血铅和血硒对血清hs-CRP升高的相乘和相加交互作用。结果 调查对象的年龄为（48.91±15.38）岁，其中男性5 054名（61.47%），hs-CRP升高者1 181名（11.29%）。广义线性模型的结果显示，在调整了相关混杂因素后，与血铅水平处于最低四分位数（Q1）者相比较，第二（Q2）、第三（Q3）和最高四分位数（Q4）者hs-CRP升高的OR值（95%CI）分别为1.14（0.94~1.37）、1.25（1.04~1.52）和1.38（1.13~1.68）；与血硒水平处于Q1组者相比较，Q2、Q3和Q4组者hs-CRP升高的OR值（95%CI）分别为0.86（0.72~1.04）、0.91（0.76~1.11）和0.75（0.61~0.92）。logistic回归模型结果显示，未发现血铅和血硒对血清hs-CRP升高的相乘和相加交互作用。结论 血铅水平与血清hs-CRP升高存在正向关联，血硒水平与血清hs-CRP升高存在负向关联，未发现血铅和血硒之间存在交互作用。 |
| English Abstract: |
| Objective To investigate the association of blood lead and blood selenium with serum high-sensitivity C-reactive protein (hs-CRP) among Chinese adults aged 19 to 79 years.Methods The participants were enrolled from the first wave of China National Human Biomonitoring (CNHBM) conducted from 2017 to 2018. 10 153 participants aged 19 to 79 years were included in this study. Fasting blood samples were obtained from participants. Lead and selenium in whole blood and hs-CRP in serum were measured. Individuals with hs-CRP levels above 3.0 mg/L were defined as elevated hs-CRP. Generalized linear mixed models and restricted cubic spline models were used to analyze the association of blood lead and blood selenium with elevated hs-CRP. Logistic regression models were used to analyze the multiplicative scale and additive scale interaction between blood lead and blood selenium on elevated hs-CRP. Results The age of participants was (48.91±15.38) years, of which 5 054 (61.47%) were male. 1 181 (11.29%) participants were defined as elevated hs-CRP. After multivariable adjustment, results from generalized linear models showed that compared with participants with the lowest quartile of blood lead, the OR (95%CI) of elevated hs-CRP for participants with the second, third, and highest quartiles were 1.14 (0.94-1.37), 1.25 (1.04-1.52) and 1.38 (1.13-1.68), respectively. When compared with participants with the lowest quartile of blood selenium, the OR (95%CI) of elevated hs-CRP for participants with the second, third and highest quartiles were 0.86 (0.72-1.04), 0.91 (0.76-1.11), and 0.75 (0.61-0.92), respectively. Results from the interaction analysis showed no significant interaction between lead and selenium on elevated hs-CRP. Conclusion Blood concentration of lead was positively associated with elevated serum hs-CRP, and blood concentration of selenium was inversely related to elevated hs-CRP, while blood lead and selenium did not present interaction on elevated hs-CRP. |
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