种族,主观福祉和心血管疾病:使用英国生物银行数据的路径和机器学习分析的见解
Mubarak Patel1, Mohammed Aadil Buchya2, Olalekan Uthman2
1Health Services Management Centre, Park House, University of Birmingham, 40 Edgbaston Park Road, Birmingham, B15 2RT, UK. m.patel.18@bham.ac.uk.
BMC public health
|December 19, 2025
概括
种族显著影响心血管疾病 (CVD) 风险和主观幸福感 (SWB). 非白人群体面临更高的心血管疾病几率和较低的SWB,需要针对种族的特定健康策略.
科学领域:
- 公共卫生 公共卫生
- 流行病学 流行病学
- 健康差异 在健康上的差异
背景情况:
- 了解种族对健康结果的影响对于解决健康差异至关重要.
- 主观幸福感 (SWB) 和心血管疾病 (CVD) 是由各种因素影响的复杂健康指标.
- 人口变量,种族,SWB和CVD之间的相互作用需要详细调查.
研究的目的:
- 确定种族对主观福祉 (SWB) 和心血管疾病 (CVD) 的影响.
- 检查种族与人口因素和心血管疾病的相互关系.
- 使用机器学习方法识别SWB和CVD的关键预测因素.
主要方法:
- 对296,767名英国生物库参与者的横截面分析.
- 用路径分析和机器学习技术来调查直接和间接的影响.
- 逻辑和线性回归,以及接收器运行特征分析,被用来评估预测因素的重要性.
主要成果:
- 种族直接影响CVD和SWB,并调解人口统计和这些结果之间的关联.
- 与白人群体相比,非白人族群的心血管疾病和SWB的几率更高,SWB的几率更低.
- 心血管疾病的重要预测因素包括年龄,BMI,腰围,吸烟状况,抑郁症和性别;握手强度和酒精摄入量显示有保护作用.
结论:
- 调查结果强调了需要针对特定种族的健康干预措施来减少差异.
- 人口统计,心血管疾病和SWB之间的复杂相互作用需要有针对性的公共卫生战略.
- 文化敏感的方法对于促进健康和预防不同种族群体的疾病至关重要.
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