我们是复杂的生物:比较统计方法来捕捉和考虑交叉性
Brooke A Levandowski1, George C Pro2, Susan B Rietberg-Miller3
1Obstetrics & Gynecology, University of Rochester Medical Center, Rochester, NY, USA brooke_levandowski@urmc.rochester.edu.
BMJ open
|January 31, 2024
概括
交叉性研究揭示了多种边缘化身份如何影响健康. 定量方法显示出多样化的效果,突显出需要细微的卫生政策来解决复杂的缺点.
科学领域:
- 社会学 社会学 社会学
- 公共卫生 公共卫生
- 健康差距 研究 研究 研究 研究
背景情况:
- 交叉性理论解释了重叠的社会身份 (种族,残疾,性取向,收入) 如何创造独特的压迫和边缘化的经历.
- 了解这些复合效应对于解决健康差异至关重要.
研究的目的:
- 为了比较量化分析方法来衡量交叉的社会人口统计学变量对自我报告健康的影响.
- 解释边缘化的社会地位对健康结果的相对影响.
主要方法:
- 关于酒精和相关疾病的全国流行病学调查-III (NESARC-III) 的二次分析,这是美国的一项大型横截面研究.
- 使用三个回归方法评估种族/种族,残疾,性取向和收入之间的相互作用:非交叉,单一多类预测因素和双向相互作用.
主要成果:
- 用单个多类预测因子进行的多变量回归研究显示,与同性恋/女同性恋/双性恋/不确定性个人相比,白人,非残疾人,异性恋个体的良好/非常好的健康概率没有显著差异.
- 使用双向相互作用的多变量回归表明,性取向与健康之间的关系因种族/种族而异.
- 具体来说,LGBQ+个体在白人群体中报告更好的健康状况的几率较低,但在黑人,土著和有色人种 (BIPOC) 群体中更高的几率.
结论:
- 量化方法可以阐明医疗保健中复杂的交叉经验.
- 调查结果强调,需要采取干预措施和政策,同时解决多重,复杂的需求,以改善健康公平.
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