龚雅洁, 陈子慧, 吴珊, 纪桂圆, 李律容, 刘涛, 马文军, 陈青松. 多金属暴露与骨关节疾病的关联研究[J]. 环境卫生学杂志, 2024, 14(9): 762-769, 封3. DOI: 10.13421/j.cnki.hjwsxzz.2024.09.008
    引用本文: 龚雅洁, 陈子慧, 吴珊, 纪桂圆, 李律容, 刘涛, 马文军, 陈青松. 多金属暴露与骨关节疾病的关联研究[J]. 环境卫生学杂志, 2024, 14(9): 762-769, 封3. DOI: 10.13421/j.cnki.hjwsxzz.2024.09.008
    GONG Ya-jie, CHEN Zi-hui, WU Shan, JI Gui-yuan, LI Lyu-rong, LIU Tao, MA Wen-jun, CHEN Qing-song. Association of multi-metal exposure with bone and joint diseases[J]. Journal of Environmental Hygiene, 2024, 14(9): 762-769, 封3. DOI: 10.13421/j.cnki.hjwsxzz.2024.09.008
    Citation: GONG Ya-jie, CHEN Zi-hui, WU Shan, JI Gui-yuan, LI Lyu-rong, LIU Tao, MA Wen-jun, CHEN Qing-song. Association of multi-metal exposure with bone and joint diseases[J]. Journal of Environmental Hygiene, 2024, 14(9): 762-769, 封3. DOI: 10.13421/j.cnki.hjwsxzz.2024.09.008

    多金属暴露与骨关节疾病的关联研究

    Association of multi-metal exposure with bone and joint diseases

    • 摘要:
      目的 探讨广东省居民多金属暴露与骨关节疾病的相关性。
      方法 采用以社区为基础的横断面研究方法, 从广东省11个地区招募3 063名成年人, 并测量了13种金属的血液浓度, 以评估内暴露水平。运用多变量Logistic回归分析血液金属水平与骨关节疾病的关系。
      结果 在单金属模型中, 血铬、锌和铜浓度与骨关节疾病风险呈现显著剂量反应关系(All P-trend≤ 0.05)。进一步通过多金属模型发现, 与血铜和锌浓度处于低水平组(Q1)人群相比, 最高水平组(Q4)血铜、锌浓度与骨关节疾病有关(OR= 0.78, 95%CI: 0.53~0.93; OR = 1.38, 95%CI: 1.07~1.34)。
      结论 人群暴露环境铜和锌与骨关节疾病有关, 研究结果需要在更大的人群研究中验证。

       

      Abstract:
      Objective To investigate the association of exposure to multiple metals with the risk of bone and joint diseases among residents in Guangdong Province, China.
      Methods This community-based cross-sectional study enrolled a total of 3 063 adult participants from 11 districts in Guangdong Province. The blood concentrations of 13 metals were measured to assess internal exposure levels. Multivariable logistic regression models were constructed to assess the relationship between blood metal levels and bone and joint diseases.
      Results The single-metal models revealed significant dose-response relationships between the blood concentrations of chromium, zinc, and copper and the risk of bone and joint diseases (all Ptrend≤0.05). The multi-metal logistic regression models showed that compared with those of the lowest-level groups (Q1), blood copper and zinc concentrations of the highest-level groups (Q4) were significantly associated with the risk of bone and joint diseases (odds ratio OR = 0.78, 95% confidence interval CI: 0.53-0.93; OR=1.38, 95% CI: 1.07-1.34).
      Conclusion Environmental exposure to copper and zinc is associated with bone and joint diseases, which needs further verification in a larger population.

       

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