健康和喘的社会决定因素之间的关联:基于NHANES数据的横截面分析
概括
健康的社会决定因素 (SDoH) 与喘风险有关,特别是在吸烟者和糖尿病患者中. 整合SDoH数据可以改善针对性干预的喘预测模型.
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:
- 健康的社会决定因素 (SDoH) 显著影响各种健康结果.
- 喘的患病率和严重程度受到遗传和环境因素的复杂相互作用的影响.
- 了解SDoH在喘中的特定作用对于制定有效的公共卫生战略至关重要.
研究的目的:
- 研究健康的社会决定因素 (SDoH) 与喘之间的关联.
- 评估结合喘SDoH模型的预测性能.
- 为了确定改变喘与健康关系的特定SDoH因素.
主要方法:
- 来自国家健康和营养检查调查 (NHANES) 的大量队列 (39,340名参与者) 的分析.
- 多变量逻辑回归以评估SDoH-喘关系,使用子组分析.
- 机器学习模型被开发和评估,使用曲线下的面积 (AUC) 进行预测准确性.
主要成果:
- 健康的社会决定因素 (SDoH) 在调整后独立地与喘风险增加有关 (OR = 1.039,p < 0.001).
- 在吸烟者 (OR = 1.08) 和糖尿病患者 (OR = 1.12) 中观察到更强的关联.
- 结合SDoH的机器学习模型显示出优异的预测性能 (AUC = 0.779).
结论:
- 健康的社会决定因素 (SDoH) 是喘的一个独立风险因素.
- SDoH数据集成增强了喘预测模型,有助于临床和政策干预.
- 对高风险群体 (如吸烟者和糖尿病患者) 进行有针对性的干预是有必要的.
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