Associations of perceived discrimination with health outcomes and health disparities in the All of Us cohort.

IF 4.7 2区 医学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS
Vincent Lam, Sonali Gupta, I King Jordan, Leonardo Mariño-Ramírez
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引用次数: 0

Abstract

Objectives: The goal of this study was to investigate the association of perceived discrimination with health outcomes and disparities.

Materials and methods: The study cohort consists of 60 180 participants from the 4 largest self-identified race and ethnicity (SIRE) groups in the All of Us Research Program participant body: Asian (1291), Black (4726), Hispanic (5336), and White (48 827). A perceived discrimination index (PDI) was derived from participant responses to the "Social Determinants of Health" survey, and the All of Us Researcher Workbench was used to analyze associations and mediation effects of PDI and SIRE with 1755 diseases.

Results: The Black SIRE group has the greatest median PDI, followed by the Asian, Hispanic, and White groups. The Black SIRE group shows the greatest number of diseases with elevated risk relative to the White reference group, followed by the Hispanic and Asian groups. Perceived discrimination index was found to be positively and significantly associated with 489 out of 1755 (27.86%) diseases. "Mental Disorders" is the disease category with the greatest proportion of diseases positively and significantly associated with PDI: 59 out of 72 (81.94%) diseases. Mediation analysis showed that PDI mediates 69 out of 351 (19.66%) Black-White disease disparities.

Discussion: Perceived discrimination is significantly associated with risk for numerous diseases and mediates Black-White disease disparities in the All of Us participant cohort.

Conclusion: This work highlights the role of discrimination as an important social determinant of health and provides a means by which it can be quantified and modeled on the All of Us platform.

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来源期刊
Journal of the American Medical Informatics Association
Journal of the American Medical Informatics Association 医学-计算机:跨学科应用
CiteScore
14.50
自引率
7.80%
发文量
230
审稿时长
3-8 weeks
期刊介绍: JAMIA is AMIA''s premier peer-reviewed journal for biomedical and health informatics. Covering the full spectrum of activities in the field, JAMIA includes informatics articles in the areas of clinical care, clinical research, translational science, implementation science, imaging, education, consumer health, public health, and policy. JAMIA''s articles describe innovative informatics research and systems that help to advance biomedical science and to promote health. Case reports, perspectives and reviews also help readers stay connected with the most important informatics developments in implementation, policy and education.
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