基于心脏代谢的慢性疾病中的种族种族差异的贝叶斯网络模型使用NHANES 1999-2018年
Masih A Babagoli1, Michael J Beller2, Juan P Gonzalez-Rivas3,4,5
1Icahn School of Medicine at Mount Sinai, New York, NY, United States.
Frontiers in public health
|October 30, 2024
概括
社会经济和行为因素解释了心脏代谢疾病中的一些种族差异. 然而,饮食和体育活动等传统因素对非西班牙裔黑人和西班牙裔个人的影响较小,这表明存在未测量的决定因素.
科学领域:
- 心血管疾病流行病学
- 健康差异研究 研究健康差异研究
- 生物统计学和数据科学
背景情况:
- 心脏代谢疾病的种族差异受到社会经济,行为和环境因素的复杂相互作用的影响.
- 贝叶斯网络为分析这些影响心脏代谢疾病发病率和进展的多层次,可修改和不可修改的因素提供了一个框架.
研究的目的:
- 使用贝叶斯网络调查调解种族群体与心脏代谢结果之间的关联的途径.
- 分析各种因素对不同种族种族群体心脏代谢结果的影响.
主要方法:
- 利用了美国国家健康和营养检查调查的20年数据.
- 采用贝叶斯网络学习来建模人口结构,社会经济因素,行为和心脏代谢结果之间的关系的结构和参数.
- 进行了条件概率查询,以评估不同因素对心脏代谢结果的影响,按民族种族群体分层.
主要成果:
- 确定了多种途径,将民族种族群体与心脏代谢结果联系起来,包括教育,饮食,吸烟,体力活动,收入和酒精消费.
- 与非西班牙裔黑人和西班牙裔个人相比,饮食和体育活动等行为因素显示,非西班牙裔白人的4期基于脂肪的慢性疾病 (ABCD) 的概率减少得更大.
- 教育,收入和行为因素调解了种族差异,但传统的行为干预措施对某些少数群体可能不那么有效.
结论:
- 教育,收入和行为因素部分解释了心脏代谢疾病中的种族差异.
- 与非西班牙裔白人相比,非西班牙裔黑人和西班牙裔个人在减轻心脏代谢风险方面,传统的行为因素 (饮食,体育活动) 的影响力较小.
- 未测量的个人和社区层面的结构性决定因素可能在少数群体中的心脏代谢健康差异中发挥着重要作用,需要进一步调查.
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