Graff Kelly, Choi Ye Ji, Silveira Lori, Smith Christiana, Abuogi Lisa, DeCamp Lisa Ross, Jarjour Jane, Friedman Chloe, Ware Meredith A, Kaar Jill L
Department of Pediatrics, Medical College of Wisconsin, Milwaukee, WI, USA.
University of Colorado School of Public Health, Aurora, CO, USA.
AIMS Public Health. 2025 Jan 15;12(1):124-136. doi: 10.3934/publichealth.2025009. eCollection 2025.
Hispanic ethnicity is associated with an increased risk for severe disease in children with COVID-19. Identifying underlying contributors to this disparity can lead to improved health care utilization and prevention strategies.
This is a retrospective cohort study of children 2-20 years of age with positive SARS-CoV-2 testing from March-October 2020. Univariable and multivariable logistic regression models were fitted to identify demographic, comorbid health conditions, and social vulnerabilities as predictors of severe COVID-19 (need for hospital admission or respiratory support).
We included 1572 children with COVID-19, of whom 45% identified as Hispanic. Compared to non-Hispanic children, patients who identified as Hispanic were more often obese (28% vs. 14%, p < 0.0001), preferred a non-English language (31% vs. 3%, p < 0.0001), and had Medicaid or no insurance (79% vs. 33%, p < 0.0001). In univariable analyses, children who identified as Hispanic were more likely to require hospital admission (OR 2.4, CI: 1.57-3.80) and respiratory support (OR 2.4, CI: 1.38-4.14). In multivariable analyses, hospital admission was associated with obesity (OR 1.9, CI: 1.15-3.08), non-English language (OR 2.4, CI: 1.35-4.23), and Medicaid insurance (OR 2.0, CI: 1.10-3.71), but ethnicity was not a significant predictor of severe disease.
The high rates of severe COVID-19 observed in Hispanic children early in the pandemic appeared to be secondary to underlying co-morbidities and social vulnerabilities that may have influenced access to care, such as language and insurance status. Pediatric providers and public health officials should tailor resource allocation to better target this underserved patient population.
西班牙裔与新冠病毒疾病(COVID-19)患儿患重症疾病的风险增加有关。确定造成这种差异的潜在因素有助于改善医疗保健的利用和预防策略。
这是一项对2020年3月至10月间新冠病毒检测呈阳性的2至20岁儿童进行的回顾性队列研究。采用单变量和多变量逻辑回归模型,以确定人口统计学、合并健康状况和社会脆弱性作为重症COVID-19(需要住院或呼吸支持)的预测因素。
我们纳入了1572例COVID-19患儿,其中45%为西班牙裔。与非西班牙裔儿童相比,西班牙裔患儿更常肥胖(28%对14%,p<0.0001),偏好使用非英语(31%对3%,p<0.0001),且有医疗补助或无保险(79%对33%,p<0.0001)。在单变量分析中,西班牙裔患儿更有可能需要住院(比值比2.4,置信区间:1.57 - 3.80)和呼吸支持(比值比2.4,置信区间:1.38 - 4.14)。在多变量分析中,住院与肥胖(比值比1.9,置信区间:1.15 - 3.08)、非英语(比值比2.4,置信区间:1.35 - 4.23)和医疗补助保险(比值比2.0,置信区间:1.10 - 3.71)相关,但种族不是重症疾病的显著预测因素。
在疫情早期,西班牙裔儿童中观察到的高重症COVID-19发病率似乎是由潜在的合并症和社会脆弱性导致的,这些因素可能影响了医疗服务的可及性,如语言和保险状况。儿科医疗服务提供者和公共卫生官员应调整资源分配,以更好地针对这一未得到充分服务的患者群体。