心脏代谢连续的性别和人口差异:使用英国生物银行和ELSA-巴西队列的机器学习研究
Daniela Polessa Paula1,2, Marina Camacho3, Odaleia Barbosa4
1National School of Statistical Sciences, Brazilian Institute of Geography and Statistics, Rio de Janeiro, Brazil. danielapopaula@gmail.com.
BMC public health
|August 6, 2024
概括
这项研究揭示了心脏代谢连续 (CMC) 中的显著性别差异,突出了英国和巴西人口中男性和女性之间疾病进展模式的多样性. 公共卫生战略应优先考虑妇女.
科学领域:
- 心脏病学 心脏病学
- 内分泌学 在内分泌学.
- 公共卫生 公共卫生
- 数据科学数据科学数据科学
背景情况:
- 心脏代谢连续 (CMC) 描述了由复杂的基因环境相互作用和生活方式因素引起的心脏代谢疾病 (CMD) 的时间序列.
- 虽然代谢和心血管疾病之间的生理联系是已知的,但CMC中的性别和人口特异性差异仍未得到充分研究.
研究的目的:
- 为CMC开发一个机器学习模型.
- 用英国生物银行和ELSA-巴西队列研究CMC模式的性别和人口特异性差异.
主要方法:
- 利用k-means集群识别基于疾病发生时间的CMC模式.
- 采用随机森林分类器和SHAP方法来分析临床,社会人口统计和生活方式预测因素.
- 分析了来自17700名英国生物库参与者和7162名ELSA-巴西参与者的数据.
主要成果:
- 确定了五种CMC模式:早期高血压,第一次糖尿病,第一次心脏病,健康和晚期高血压.
- 观察到CMC模式中的不同性别分布跨队列,英国女性更常见于"健康"群体,男性则在其他群体中.
- 在女性中发现孤立高血压的早期发病 (英国生物库) 和从糖尿病到高血压的时间较短 (ELSA-巴西).
- 确定了吸烟和两性教育等关键预测因素,种族和咖啡/酒精消费显示出性别特异性的重要性.
结论:
- 在CMC中存在显著的性别差异,在英国和巴西人口之间存在差异.
- 妇女,特别是在巴西,在疾病发病率和发病时间方面面临更大的劣势.
- 结果强调,需要制定定制的公共卫生政策,以应对CMD进展,重点关注妇女健康.
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