Alopecia Areata in Underrepresented Groups: Preliminary Analysis of the All of Us Research Program

Author:

Moseley Isabelle H.1,George Elisabeth A.1,Tran Megan M.1,Lee Hemin2,Qureshi Abrar A.1,Cho Eunyoung1

Affiliation:

1. Brown University

2. Brigham and Women's Hospital

Abstract

Abstract Background Alopecia areata (AA) is an autoimmune condition characterized by patchy, nonscarring hair loss. Few studies of AA have adequately included participants from underrepresented groups when evaluating the burden of AA in the United States. Methods and Results We conducted a cross-sectional study of personal/demographic factors and AA using the ongoing All of Us (AoU) Research Program. AoU enrolls adults over 18 years either as direct volunteers or through participating Health Care Provider Organizations by prioritizing recruiting underrepresented groups. We linked data from surveys and electronic health records (EHRs) to estimate the prevalence of AA by race/ethnicity, physical disability, sexual orientation/gender identity (LGBTQIA+), income, and education. The latest AoU release (version 5) includes 329,038 participants. Average age was 51.8 years (standard deviation, SD 16.7), and 60.2% of participants were female. Of these, 251,597 (76.5%) had EHR data and 752 were diagnosed with AA (prevalence, 0.30%; 95% CI, 0.28–0.32). We used multivariate logistic regression adjusted for age and other factors to estimate the odds ratio (OR) and 95% confidence intervals (CIs) for prevalence of AA. Compared to Whites, Blacks and Hispanics had higher odds of AA (OR, 1.72; 95% CI, 1.39–2.11 and OR, 2.13; 95% CI, 1.74–2.59, respectively). Lower odds of AA were observed in participants with less than a high school degree (OR, 0.80; 95% CI, 0.59–1.08), household income ≤$35,000 (OR, 0.67; 95% CI, 0.54–0.83), and no health insurance (OR 0.35; 95% CI, 0.20–0.56). Conclusions In this diverse population of US adults, participants with skin of color had higher prevalence of AA. Lower prevalence of AA among individuals with lower education and income levels and those lacking health insurance may reflect limited access to dermatologic care and potentially higher levels of undiagnosed AA in these groups.

Publisher

Research Square Platform LLC

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3