Yan Xuewen, Schneider John A, Modali Laxmi, Korban Colin, Tabidze Irina
Department of Sociology, Cornell University, Chicago Department of Public Health, USA.
Departments of Medicine and Public Health Sciences, University of Chicago, Chicago Department of Public Health, USA.
SSM Popul Health. 2023 Jul 23;23:101474. doi: 10.1016/j.ssmph.2023.101474. eCollection 2023 Sep.
Despite the growing literature on racial-ethnic disparities during the pandemic, less is known about the explanatory mechanisms of these disparities and inequalities across other axes, such as gender and sexual identities. We studied the levels and sources of racial-ethnic, gender identity, and sexual minority disparities in social (i.e., unmet resource needs) and health (i.e., hospitalization) outcomes among individuals diagnosed with COVID-19, hypothesizing differential age structure, underlying health, and work and living arrangements as contributors to inequalities. Using large-scale administrative data from Chicago and adjusting for covariates, we found substantial racial-ethnic and gender identity disparities in both outcomes, and weak evidence of sexual minority disparities in unmet needs. Subsequent decomposition analyses revealed that living in larger households, having a higher share of non-adult cases, and facing higher burdens of chronic illness, obesity, and unemployment each statistically significantly drove racial-ethnic disparities in unmet needs, but these together explained less than 15% of the disparities. Similarly, about 20% of the Black-White gap in hospitalization resulted from disparities in underlying health and unemployment, whereas a higher proportion of non-adult cases or higher unemployment rates respectively proved the only significant pathways to partially explain transgender individuals' disadvantages in unmet needs (12%) or hospitalization (6%). These findings highlight the importance of considering multiple dimensions of social differences in studying health disparities, the vulnerabilities of transgender and non-adult communities during the pandemic, and the valid yet quite limited roles of previously suggested sociodemographic factors in accounting for COVID-19-related categorical inequalities.
尽管关于疫情期间种族和族裔差异的文献越来越多,但对于这些差异以及其他维度(如性别和性取向)不平等的解释机制却知之甚少。我们研究了被诊断为感染新冠病毒的个体在社会(即未满足的资源需求)和健康(即住院治疗)方面的种族和族裔、性别认同以及性少数群体差异的程度和来源,假设年龄结构差异、基础健康状况以及工作和生活安排是导致不平等的因素。利用来自芝加哥的大规模行政数据并对协变量进行调整后,我们发现这两个方面都存在显著的种族和族裔以及性别认同差异,而在未满足需求方面性少数群体差异的证据较弱。随后的分解分析表明,生活在大家庭中、非成人病例占比更高以及面临更高的慢性病、肥胖症和失业负担,在统计学上均显著导致了未满足需求方面的种族和族裔差异,但这些因素加起来解释的差异不到15%。同样,住院治疗方面黑人与白人之间差距的约20%是由基础健康状况和失业方面的差异造成的,而较高比例的非成人病例或较高的失业率分别是部分解释跨性别者在未满足需求方面(12%)或住院治疗方面(6%)劣势的唯一显著途径。这些发现凸显了在研究健康差异时考虑社会差异多个维度的重要性、疫情期间跨性别者和非成人社区的脆弱性,以及先前提出的社会人口学因素在解释与新冠病毒相关的分类不平等方面虽有效但相当有限的作用。