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个体黄酸盐摄入量及其与美国成年人高血压的关联:基于人口的横截面研究

Feier Wu¹, Yilin Wu², Qiuyun Chen¹

¹Department of Cardiology, Affiliated Kunshan Hospital of Jiangsu University, Kunshan, Jiangsu Province, China.

|November 8, 2025

概括

更高的摄入特定的食类黄素,如奎尔丁和甲素可能会降低高血压的风险. 这些化合物存在于许多食物中,显示出对高血压的保护作用.

科学领域:

营养流行病学营养流行病学
心血管健康心血管健康
饮食中的生物活性.

背景情况:

高血压 (HTN) 是一个重大的全球健康挑战.
饮食中的黄类药物提供潜在的健康益处,但它们对HTN风险的具体影响需要进一步调查.
有限的流行病学数据存在于个人黄类消费和高血压发病率.

研究的目的:

为了研究个人黄类素摄入量与高血压风险之间的关联.
确定可能提供对高血压的保护的特定黄类和子类.
探索黄类药物与高血压风险之间的剂量反应关系和可变重要性.

主要方法:

利用来自国家健康和营养检查调查 (NHANES) 的数据来查看人口特征和疾病数据.
采用多变量逻辑回归和通用添加模型来分析黄类素摄入量和HTN风险.
通过机器学习模型进行了沙普利增量解释 (SHAP) 分析,以确定变量的重要性.

主要成果:

增加单个黄类药物的摄入量 (quercetin,epicatechin,naringenin) 和子类 (flavanones,flavonols) 与降低高血压风险有关.
奎尔塞丁和纳灵宁被机器学习模型确定为最具影响力的单个黄类.
观察到flavanones和naringenin的线性负相关性,而发现了Quercetin,Epicatechin和flavones的非线性关系.

结论:

摄入富含特定类黄的食物,特别是素,甲素和甲素,可能有助于预防和管理高血压.
这些发现表明,一种潜在的饮食策略可以减少人口的心血管疾病负担.
需要进一步研究这些黄胺在心血管健康中的特定机制.

关键词:

跨截面研究是跨截面研究.这种高血压,高血压.个别的黄类化合物.机器学习是机器学习.

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