School of Public Health, Shanxi Medical University, Taiyuan, China.
Shenzhen Center for Disease Control and Prevention, Shenzhen, China.
Front Public Health. 2022 Dec 13;10:1039514. doi: 10.3389/fpubh.2022.1039514. eCollection 2022.
Metal exposure affects human health. Current studies mainly focus on the individual health effect of metal exposure on hypertension (HTN), and the results remain controversial. Moreover, the studies assessing overall effect of metal mixtures on hypertension risk are limited.
A cross-sectional study was conducted by recruiting 1,546 Chinese adults who attended routine medical check-ups at the Eighth Affiliated Hospital of Sun Yat-sen University, Shenzhen. The plasma levels of 13 metals were measured using inductively coupled plasma mass spectrometry. Multivariate logistic regression model, restricted cubic spline (RCS) model and the Bayesian Kernel Machine Regression (BKMR) model were applied to explore the single and combined effect of metals on the risk of HTN.
A total of 642 (41.5%) participants were diagnosed with HTN. In the logistic regression model, the adjusted odds ratios (ORs) were 0.71 (0.52, 0.97) for cobalt, 1.40 (1.04, 1.89) for calcium, 0.66 (0.48, 0.90), and 0.60 (0.43, 0.83) for aluminum in the second and third quartile, respectively. The RCS analysis showed a V-shaped or an inverse V-shaped dose-response relationship between metals (aluminum or calcium, respectively) and the risk of HTN (P for non-linearity was 0.017 or 0.009, respectively). However, no combined effect was found between metal mixture and the risk of hypertension.
Plasma levels of cobalt, aluminum and calcium were found to be associated with the risk of HTN. Further studies are needed to confirm our findings and their potential mechanisms with prospective studies and experimental study designs.
金属暴露会影响人类健康。目前的研究主要集中在金属暴露对高血压(HTN)的个体健康影响上,结果仍存在争议。此外,评估金属混合物对高血压风险的综合影响的研究有限。
通过在中山大学附属第八医院深圳分院招募了 1546 名参加常规医疗检查的中国成年人,进行了一项横断面研究。使用电感耦合等离子体质谱法测量了 13 种金属的血浆水平。应用多变量逻辑回归模型、受限立方样条(RCS)模型和贝叶斯核机回归(BKMR)模型来探讨金属对 HTN 风险的单一和联合作用。
共有 642 名(41.5%)参与者被诊断为 HTN。在逻辑回归模型中,钴的校正比值比(OR)为 0.71(0.52,0.97),钙的 OR 为 1.40(1.04,1.89),铝的 OR 分别为第二和第三四分位数的 0.66(0.48,0.90)和 0.60(0.43,0.83)。RCS 分析显示金属(铝或钙)与 HTN 风险之间存在 V 形或反 V 形剂量反应关系(非线性 P 值分别为 0.017 或 0.009)。然而,没有发现金属混合物与高血压风险之间存在联合效应。
发现血浆中钴、铝和钙水平与 HTN 风险相关。需要进一步的前瞻性研究和实验研究设计来证实我们的发现及其潜在机制。