COVID-19大流行第一年美国的种族、族裔和死亡率:一项评估

Discover Social Science and Health Pub Date : 2022-01-01 Epub Date: 2022-09-26 DOI:10.1007/s44155-022-00019-9
Seife Dendir
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引用次数: 1

摘要

新冠肺炎造成的疾病负担,包括死亡率,不成比例地由种族和少数民族社区承担,这一事实已得到充分记录。本文的目的是重新评估美国新冠肺炎死亡率的“种族/民族效应”。利用生态回归框架和县级数据,本研究旨在做出两个贡献。首先,它估计了在疫情第一年的四个重要时刻,所有主要种族/族裔群体的种族/族裔影响。在这样做的过程中,它力求尽可能全面地了解种族/族裔效应的性质和演变。其次,它估计了扣除基本社会经济因素后的种族/民族效应。这有助于确定种族/族裔效应发挥作用的可能机制。种族/民族构成可以通过对县人口的贡献百分比和群体多元化指标两种方式灵活衡量。生态回归显示,三个种族/族裔群体的规模——非西班牙裔黑人、非西班裔美国印第安人和阿拉斯加原住民(AIAN)——与西班牙人和县死亡率之间存在正相关,尽管黑人和AIAN的关联更强、更一致。此外,考虑基本社会经济因素对三组的种族/民族死亡率关联有不同的影响。对于西班牙裔来说,这几乎完全是经过调解的。对于黑人来说,这一数字有所下降,但仍具有统计学意义[黑人在县人口中所占比例增加1个标准差,死亡率高62-6%;黑人多数县的平均死亡率高2.3-1.1倍]。对于AIAN,它基本上没有受到影响,甚至有所增加[44-10%的死亡率与AIAN份额的1个标准差增加有关;在AIAN多个县,死亡率高6.2-1.8倍)。对于所有群体,随着疫情在第一年的持续,种族/民族效应通常会降低。补充信息:在线版本包含补充材料,可访问10.1007/s44155-022-00019-9。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Race, ethnicity and mortality in the United States during the first year of the COVID-19 pandemic: an assessment.

Race, ethnicity and mortality in the United States during the first year of the COVID-19 pandemic: an assessment.

Race, ethnicity and mortality in the United States during the first year of the COVID-19 pandemic: an assessment.

Race, ethnicity and mortality in the United States during the first year of the COVID-19 pandemic: an assessment.

The fact that a disproportionate share of the disease burden from COVID-19, including mortality, has been borne by racial and ethnic minority communities is well documented. The purpose of this paper is to reassess the "race/ethnicity effect" in COVID-19 mortality in the United States. Using an ecological regression framework and county-level data, the study aims to make two contributions. First, it estimates the race/ethnicity effect for all major racial/ethnic groups at four important junctures during the first year of the pandemic. In doing so, it seeks to provide the fullest possible picture of the nature and evolution of the race/ethnicity effect. Second, it estimates the race/ethnicity effect net of basic socioeconomic factors (SEF). This helps to identify the likely mechanisms through which the race/ethnicity effect operates. Racial/ethnic composition is flexibly measured in two ways-by percentage contributions to county population and by indicators of group plurality. The ecological regressions revealed a positive association between the size of three racial/ethnic groups-non-Hispanic Blacks, non-Hispanic American Indian and Alaskan Natives (AIAN) and Hispanics-and county mortality, although the association was stronger and more consistent for Blacks and AIANs. Furthermore, accounting for basic SEF had different impacts on the race/ethnicity-mortality association for the three groups. For Hispanics, it was almost fully mediated. For Blacks, it decreased but remained statistically significant [62-6% higher mortality associated with a 1-standard deviation increase in Black share of county population; 2.3-1.1 times higher mortality in the average Black plurality county]. For AIANs, it was largely unaffected or even increased [44-10% higher mortality associated with a 1-standard deviation increase in AIAN share; 6.2-1.8 times higher mortality in AIAN plurality county). For all groups, the race/ethnicity effect generally decreased as the pandemic wore on during the first year.

Supplementary information: The online version contains supplementary material available at 10.1007/s44155-022-00019-9.

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来源期刊
Discover Social Science and Health
Discover Social Science and Health intersection of health and social sciences-
CiteScore
0.60
自引率
0.00%
发文量
21
审稿时长
22 days
期刊介绍: Discover Social Science and Health is an interdisciplinary, international journal that publishes papers at the intersection of the social and biomedical sciences. Papers should integrate, in both theory and measures, a social perspective (reflecting anthropology, criminology, economics, epidemiology, policy, sociology, etc) and a concern for health (mental and physical). Health, broadly construed, includes biological and other indicators of overall health, symptoms, diseases, diagnoses, treatments, treatment adherence, and related concerns. Drawing on diverse, sound methodologies, submissions may include reports of new empirical findings (including important null findings) and replications, reviews and perspectives that construe prior research and discuss future research agendas, methodological research (including the evaluation of measures, samples, and modeling strategies), and short or long commentaries on topics of wide interest. All submissions should include statements of significance with respect to health and future research. Discover Social Science and Health is an Open Access journal that supports the pre-registration of studies. Topics Papers suitable for Discover Social Science and Health will include both social and biomedical theory and data. Illustrative examples of themes include race/ethnicity, sex/gender, socioeconomic, geographic, and other social disparities in health; migration and health; spatial distribution of risk factors and access to healthcare; health and social relationships; interactional processes in healthcare, treatments, and outcomes; life course patterns of health and treatment regimens; cross-national patterns in health and health policies; characteristics of communities and neighborhoods and health; social networks and treatment adherence; stigma and disease progression; methodological studies including psychometric properties of measures frequently used in health research; and commentary and analysis of key concepts, theories, and methods in studies of social science and biomedicine. The journal welcomes submissions that draw on biomarkers of health, genetically-informed and neuroimaging data, psychophysiological measures, and other forms of data that describe physical and mental health, access to health care, treatment, and related constructs.
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