Nasiha Maliq Nihmath, Ong Toan, Giano Zachary, Rivera William, Tiwari Tamanna
School of Dental Medicine, University of Colorado, Aurora, CO, United States.
School of Medicine, University of Colorado, Aurora, CO, United States.
Front Oral Health. 2024 Dec 4;5:1427109. doi: 10.3389/froh.2024.1427109. eCollection 2024.
This study conducted a comparative analysis between two large data repositories, the All of Us (AoU) medical data and BigMouth dental data repositories.
The comparison analysis includes variables related to behavioral and systemic health, health literacy, and overall health status across race, ethnicity, and gender. The analytic approach used descriptive statistics, Chi-square, odds ratio, and 95% confidence intervals; significant comparisons were measured with Cohen's D effect sizes.
In the AoU dataset, 80.6% of Hispanic or Latino participants reported alcohol use compared to 16.8% in the BigMouth data repository. The female cohort in AoU showed 87.9% alcohol use, a contrast to BigMouth's 26.0%. Additionally, the diabetes prevalence among females was 8.8% in AoU vs. 21.6% in BigMouth. Differences in health literacy were observed, with 49.2% among Hispanic or Latino participants in AoU, in contrast to BigMouth's 3.2%. Despite this, 70.1% of Hispanic or Latino respondents in AoU reported satisfactory health status, while BigMouth indicated a much higher figure at 98.3%.
These variations highlight the importance of targeted health interventions addressing racial/ethnic and gender influences. Differences may arise from recruitment approaches, participant demographics, and healthcare access. There is a need for collaboration, standardized data collection, and inclusive recruitment to remedy these discrepancies. Further research is imperative to understand the underlying causes, facilitate interventions that address the disparities, and advocate for a more inclusive healthcare system.
本研究对两个大型数据存储库——“我们所有人”（AoU）医学数据存储库和大嘴牙科数据存储库进行了比较分析。
比较分析包括与行为和全身健康、健康素养以及不同种族、族裔和性别的总体健康状况相关的变量。分析方法采用描述性统计、卡方检验、比值比和95%置信区间；显著差异用科恩D效应量来衡量。
在AoU数据集中，80.6%的西班牙裔或拉丁裔参与者报告有饮酒行为，而在大嘴数据存储库中这一比例为16.8%。AoU中的女性队列有87.9%的人饮酒，与大嘴数据存储库中的26.0%形成对比。此外，AoU中女性的糖尿病患病率为8.8%，而大嘴数据存储库中为21.6%。观察到健康素养方面的差异，AoU中西班牙裔或拉丁裔参与者的这一比例为49.2%，而大嘴数据存储库中为3.2%。尽管如此，AoU中70.1%的西班牙裔或拉丁裔受访者报告健康状况良好，而大嘴数据存储库中的这一比例要高得多，为98.3%。
这些差异凸显了针对种族/族裔和性别影响进行有针对性的健康干预的重要性。差异可能源于招募方式、参与者人口统计学特征和医疗保健可及性。需要开展合作、进行标准化数据收集和包容性招募来弥补这些差异。必须进行进一步研究以了解潜在原因，推动解决差异的干预措施，并倡导建立一个更具包容性的医疗保健系统。
