将两个大型数据库进行比较,以了解人口统计,健康史和人口行为特征的差异
Nihmath Nasiha Maliq1, Toan Ong2, Zachary Giano3
1School of Dental Medicine, University of Colorado, Aurora, CO, United States.
Frontiers in oral health
|December 19, 2024
概括
对我们所有人 (AoU) 和大嘴数据的比较分析揭示了重大的健康差异. 有针对性的干预措施对于解决种族,种族和性别对健康结果和识字的影响至关重要.
科学领域:
- 健康差异研究 研究健康差异研究
- 进行比较数据分析.
- 公共卫生信息学 公共卫生信息学
背景情况:
- 像All of Us (AoU) 和BigMouth这样的大规模健康数据库对研究至关重要.
- 了解健康行为和结果的人口变化对于公平的医疗保健至关重要.
- 现有的数据可能无法充分捕捉人口的多样性或反映系统性健康差异.
研究的目的:
- 在我们所有人 (AoU) 和BigMouth数据库之间对与健康相关的变量进行比较分析.
- 通过种族,种族和性别来识别行为健康,系统健康,健康素养和整体健康状况的差异.
- 为制定有针对性的健康干预措施提供信息,并倡导包容性医疗保健系统.
主要方法:
- 两大数据集的比较分析:我们所有人 (AoU) 和BigMouth.
- 包括行为和系统健康,健康素养和整体健康状况的变量.
- 使用描述性统计数据,奇平方测试,赔率比率,95%置信区间和科恩的D效应大小的统计分析.
主要成果:
- 在AoU和BigMouth之间观察到酒精使用,糖尿病患病率和健康素养的显著差异,特别是在西班牙裔/拉丁裔和女性参与者中.
- 与BigMouth相比,AoU数据显示报告的酒精使用率更高 (80.6%的西班牙裔/拉丁裔,87.9%的女性) 和女性糖尿病患病率更低 (8.8%).
- 健康素养在AoU (49.2%西班牙裔/拉丁裔) 与BigMouth (3.2%) 显著高,但报告的令人满意的健康状况在AoU (70.1%西班牙裔/拉丁裔) 与BigMouth (98.3%) 相比较低.
结论:
- 观察到的变化凸显了针对种族/民族和性别差异的健康干预措施的必要性.
- 差异可能源于招聘策略,参与者人口统计和医疗保健准入.
- 合作,标准化数据收集和包容性招聘对于解决这些差异和促进健康公平至关重要.
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