Yang Sijia, Liang Zhuoshuai, Qiu Yue, Li Xiaoyang, Tian Yuyang, Liu Yawen
Department of Epidemiology and Biostatistics, School of Public Health of Jilin University, Changchun, 130021, China.
State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, Key Laboratory for Zoonosis Research of the Ministry of Education, School of Public Health, Jilin University, Changchun, 130062, China.
BMC Public Health. 2025 Jan 30;25(1):391. doi: 10.1186/s12889-025-21552-7.
The association of plasma metals on the risk of cardiovascular diseases (CVD) in adults with prediabetes remains poorly investigated. To assess the association between plasma metal exposure and the risk of CVD in prediabetic adults in the United States using five plasma metals.
Five cycles of data (2011-2012, 2013-2014, 2015-2016, and 2017-2018) from the NHANES were adopted in this study. The plasma metals were measured in 1088 participants with prediabetes. We utilized multivariate logistic regression, WQS, and BKMR models to evaluate the associations between the five plasma metals and the risk of CVD.
The risk of CVD in participants with prediabetes were found to link to the 2nd quartile, 3rd and 4th quartiles of cadmium on the basis of multivariate logistic model (OR = 3.03, 95%CI: 1.17-7.82, P<0.01). Moreover, the joint effect of the five metals on the risk of CVD participants with prediabetes were unveiled using WQS and BKMR models (OR = 1.79, 95%CI: 1.15-2.77, P<0.01). In addition, when the concentrations of the other four metals were controlled at the 25th, 50th, and 75th percentile, correspondingly, cadmium had a statistically significant positive association with the risk of CVD.
The exposure of metals documented by the five metals links to the risk of CVD in participants with prediabetes in the United States. Among all the five metals, cadmium has the strongest association with the risk of CVD in participants with prediabetes.
糖尿病前期成年人血浆金属与心血管疾病（CVD）风险之间的关联仍未得到充分研究。使用五种血浆金属评估美国糖尿病前期成年人血浆金属暴露与CVD风险之间的关联。
本研究采用了美国国家健康与营养检查调查（NHANES）的五个周期的数据（2011 - 2012年、2013 - 2014年、2015 - 2016年和2017 - 2018年）。对1088名糖尿病前期参与者的血浆金属进行了测量。我们使用多变量逻辑回归、加权分位数和乘积回归（WQS）以及贝叶斯核机器回归（BKMR）模型来评估这五种血浆金属与CVD风险之间的关联。
基于多变量逻辑模型发现，糖尿病前期参与者的CVD风险与镉的第二四分位数、第三和第四四分位数相关（比值比[OR] = 3.03，95%置信区间[CI]：1.17 - 7.82，P < 0.01）。此外，使用WQS和BKMR模型揭示了这五种金属对糖尿病前期CVD参与者风险的联合效应（OR = 1.79，95%CI：1.15 - 2.77，P < 0.01）。此外，当其他四种金属的浓度分别控制在第25、50和75百分位数时，镉与CVD风险具有统计学意义的正相关。
这五种金属记录的金属暴露与美国糖尿病前期参与者的CVD风险相关。在所有这五种金属中，镉与糖尿病前期参与者的CVD风险关联最强。
