柯居中, 胡燕, 林涛, 刘晓琳, 吴抗, 邱桦, 王小楠, 李智韬, 詹铭, 阮晓楠. 社区人群血清微量元素水平与其血脂异常的相关性研究[J]. 上海预防医学, 2021, 33(11): 1070-1075. DOI: 10.19428/j.cnki.sjpm.2021.20745
引用本文: 柯居中, 胡燕, 林涛, 刘晓琳, 吴抗, 邱桦, 王小楠, 李智韬, 詹铭, 阮晓楠. 社区人群血清微量元素水平与其血脂异常的相关性研究[J]. 上海预防医学, 2021, 33(11): 1070-1075. DOI: 10.19428/j.cnki.sjpm.2021.20745
shu
KE Ju-zhong, HU Yan, LIN Tao, LIU Xiao-lin, WU Kang, QIU Hua, WANG Xiao-nan, LI Zhi-tao, ZHAN Ming, RUAN Xiao-nan. Association between serum trace elements and dyslipidemia： a community-based cross-sectional study[J]. Shanghai Journal of Preventive Medicine, 2021, 33(11): 1070-1075. DOI: 10.19428/j.cnki.sjpm.2021.20745
Citation: KE Ju-zhong, HU Yan, LIN Tao, LIU Xiao-lin, WU Kang, QIU Hua, WANG Xiao-nan, LI Zhi-tao, ZHAN Ming, RUAN Xiao-nan. Association between serum trace elements and dyslipidemia： a community-based cross-sectional study[J]. Shanghai Journal of Preventive Medicine, 2021, 33(11): 1070-1075. DOI: 10.19428/j.cnki.sjpm.2021.20745
shu

社区人群血清微量元素水平与其血脂异常的相关性研究

Association between serum trace elements and dyslipidemia： a community-based cross-sectional study

    摘要
  • 摘要:
    目的了解上海市浦东新区社区人群血清微量元素水平，探讨微量元素暴露与社区人群血脂异常的关系。
    方法本研究为横断面研究。采用多阶段分层整群抽样的方法，在浦东新区≥35岁常住人口中抽取2 085名居民作为调查对象，共计1 814人完成所有问卷调查、指标测量和血样收集。应用电感耦合等离子体质谱仪（ICP-MS）测定调查对象血清中的硼、钒、铬、锰、铁、钴、镍、铜、锌、砷、硒、锶、钼、锡、锑、钡等16种微量元素水平，应用单因素分析和logistic回归模型探索血清各微量元素水平升高和血脂异常的关联。
    结果1 814名调查对象中，年龄>45岁、BMI较高、患高血压和糖尿病者的血脂异常患病率较高。调查对象血清铁元素水平最高，其次为铜、锌、硒、锶、硼等元素，钴元素水平最低。多因素分析结果显示，铬、锌、砷、锡水平升高者患血脂异常的风险分别是正常者的1.41倍（95%CI：1.12~1.78）、1.65倍（95%CI：1.31~2.09）、1.27倍（95%CI：1.02~1.58）、1.32倍（95%CI：1.06~1.66），钴水平升高者患血脂异常的风险是正常者的0.77倍（95%CI：0.61~0.96）。
    结论血清多种微量元素与社区人群血脂异常之间存在相关关系。

     

    Abstract:
    ObjectiveTo investigate the association between serum trace elements and dyslipidemia in Pudong New Area.
    MethodsA community-based cross-sectional study was carried out. A stratified， cluster sampling approach was used for sampling. In total 1 814 community residents aged above 35 years old were recruited in Pudong New Area， Shanghai. A face-to-face investigation was conducted and blood samples were collected. Serum levels of 16 trace elements， including boron， vanadium， chromium， manganese， iron， cobalt， nickel， copper， zinc， arsenic， selenium， strontium， molybdenum， tin， antimony， and barium were measured by inductively coupled plasma mass spectrometry （ICP-MS）. The relationship between serum trace elements and dyslipidemia was analyzed with single and multiple Logistic regression models.
    ResultsPrevalence of dyslipidemia is higher among participants of more than 45 years old with high BMI， hypertension or diabetes．Serum iron leveled the highest， followed by copper， zinc， selenium， strontium， boron and other trace elements. After adjusting for potential confounders， the odds ratios of dyslipidemia associated with the highest quartile of trace elements concentrations were 1.41 （95%CI： 1.12-1.78）， 0.77 （95%CI： 0.61-0.96）， 1.65 （95%CI： 1.31-2.09）， 1.27 （95%CI： 1.02-1.58）， and 1.32 （95%CI： 1.06-1.66） for chromium， cobalt， zinc， arsenic， and tin， respectively， compared with that associated with the other three quartiles.
    ConclusionSome serum trace elements are potentially associated with dyslipidemia in community residents.

     

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