Department of Biostatistics, Jonathan and Karin Fielding School of Public Health, University of California, Los Angeles, CA 90095, USA.
Department of Social and Behavioral Sciences, Harvard T.H. Chan School Of Public Health, Harvard University, Cambridge, MA 02115, USA.
Int J Environ Res Public Health. 2021 Mar 12;18(6):2921. doi: 10.3390/ijerph18062921.
The coronavirus disease 2019 (COVID-19) epidemic in the United States has disproportionately impacted communities of color across the country. Focusing on COVID-19-attributable mortality, we expand upon a national comparative analysis of years of potential life lost (YPLL) attributable to COVID-19 by race/ethnicity (Bassett et al., 2020), estimating percentages of total YPLL for non-Hispanic Whites, non-Hispanic Blacks, Hispanics, non-Hispanic Asians, and non-Hispanic American Indian or Alaska Natives, contrasting them with their respective percent population shares, as well as age-adjusted YPLL rate ratios-anchoring comparisons to non-Hispanic Whites-in each of 45 states and the District of Columbia using data from the National Center for Health Statistics as of 30 December 2020. Using a novel Monte Carlo simulation procedure to perform estimation, our results reveal substantial racial/ethnic disparities in COVID-19-attributable YPLL across states, with a prevailing pattern of non-Hispanic Blacks and Hispanics experiencing disproportionately high and non-Hispanic Whites experiencing disproportionately low COVID-19-attributable YPLL. Furthermore, estimated disparities are generally more pronounced when measuring mortality in terms of YPLL compared to death counts, reflecting the greater intensity of the disparities at younger ages. We also find substantial state-to-state variability in the magnitudes of the estimated racial/ethnic disparities, suggesting that they are driven in large part by social determinants of health whose degree of association with race/ethnicity varies by state.
2019 年冠状病毒病(COVID-19)疫情在美国全国各地对有色人种社区造成了不成比例的影响。我们专注于 COVID-19 导致的死亡率,对由种族/族裔导致的潜在寿命损失年数(YPLL)进行了全国性比较分析(Bassett 等人,2020 年),估算了非西班牙裔白种人、非西班牙裔黑种人、西班牙裔、非西班牙裔亚裔和非西班牙裔美洲印第安人或阿拉斯加原住民的 YPLL 百分比,将其与各自的人口份额进行了对比,以及年龄调整后的 YPLL 率比值-以非西班牙裔白种人为基准-在 45 个州和哥伦比亚特区进行了对比,使用的数据来自国家卫生统计中心截至 2020 年 12 月 30 日的信息。我们使用一种新颖的蒙特卡罗模拟程序进行估计,结果显示,各州之间 COVID-19 导致的 YPLL 存在显著的种族/族裔差异,非西班牙裔黑人和西班牙裔的比例过高,而非西班牙裔白种人的比例过低,这种模式普遍存在。此外,与以死亡人数衡量相比,用 YPLL 衡量死亡率时,估计的差异通常更为明显,这反映了在较年轻的年龄组中差异更为严重。我们还发现,各州之间的估计种族/族裔差异幅度存在很大差异,这表明这些差异在很大程度上是由健康的社会决定因素驱动的,而这些因素与种族/族裔的关联程度因州而异。