评估心脏病发作风险:对重金属混合物的贝叶斯核机器回归分析
Boubakari Ibrahimou1, Kazi Tanvir Hasan1, Shelbie Burchfield1
1Florida International University, Robert Stempel College of Public Health & Social Work, Department of Biostatistics.
Research square
|July 1, 2024
概括
重金属混合物,特别是和,可能会增加心脏病发作风险. 这项研究使用贝叶斯核机器回归模型 (BKMR) 来分析NHANES数据中金属暴露和心脏病发作之间的关联.
科学领域:
- 环境健康 环境健康
- 心血管流行病学心血管流行病学
- 毒理学 毒理学 毒理学
背景情况:
- 人类健康影响评估往往侧重于单重金属,忽视复杂混合物的影响.
- 重金属混合物与心脏病发作风险之间的关联在很大程度上是未知的.
研究的目的:
- 调查重金属混合物暴露与心脏病发作风险之间的关联.
- 应用贝叶斯核心机器回归模型 (BKMR) 来分析复杂的环境暴露.
主要方法:
- 利用了2011-2016年国家健康和营养检查调查 (NHANES) 数据.
- 包括2972名20岁以上的参与者.
- 采用贝叶斯核机器回归模型 (BKMR) 来评估重金属混合物.
主要成果:
- 血中和的升高,以及尿,和锡的升高与心脏病发作有关.
- 在心脏病发作患者中观察到血中的,和含量较低,尿中的,,和含量较低.
- 心脏病发作风险增加与更高的重金属暴露百分位相关,与第75百分位相比,第50百分位的积极关联是0.0285个单位.
结论:
- 接触重金属,特别是和,可能与心脏病发作风险增加有关.
- BKMR模型是探索复杂暴露混合物与健康结果之间的关联的宝贵工具.
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