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Comorbidities, sociodemographic factors, and determinants of health on COVID-19 fatalities in the United States.美国 COVID-19 死亡病例的合并症、社会人口因素和健康决定因素。
Front Public Health. 2022 Nov 3;10:993662. doi: 10.3389/fpubh.2022.993662. eCollection 2022.
2
COVID-19 as a Syndemic.作为一种综合征的2019冠状病毒病
Front Public Health. 2021 Sep 9;9:763830. doi: 10.3389/fpubh.2021.763830. eCollection 2021.
3
How Brazil's President turned the country into a global epicenter of COVID-19.巴西总统如何使该国成为全球 COVID-19 大流行的中心。
J Public Health Policy. 2021 Sep;42(3):439-451. doi: 10.1057/s41271-021-00302-0. Epub 2021 Aug 27.
4
Social inequalities and the pandemic of COVID-19: the case of Rio de Janeiro.社会不平等与 COVID-19 大流行:以里约热内卢为例。
J Epidemiol Community Health. 2021 Oct;75(10):975-979. doi: 10.1136/jech-2020-214724. Epub 2021 Apr 2.
5
Social determinants of health and COVID-19 infection in Brazil: an analysis of the pandemic.巴西健康的社会决定因素与新冠病毒感染:对大流行的分析
Rev Bras Enferm. 2020 Nov 13;73(Suppl 2):e20200673. doi: 10.1590/0034-7167-2020-0673. eCollection 2020.
6
The COVID-19 pandemic and health inequalities.新型冠状病毒肺炎大流行与卫生不平等。
J Epidemiol Community Health. 2020 Nov;74(11):964-968. doi: 10.1136/jech-2020-214401. Epub 2020 Jun 13.
7
A Commentary on Rural-Urban Disparities in COVID-19 Testing Rates per 100,000 and Risk Factors.关于每十万人口新冠病毒检测率的城乡差异及风险因素的评论
J Rural Health. 2021 Jan;37(1):188-190. doi: 10.1111/jrh.12450. Epub 2020 Jun 1.
8
Social conditions as fundamental causes of health inequalities: theory, evidence, and policy implications.社会条件是健康不平等的根本原因:理论、证据和政策含义。
J Health Soc Behav. 2010;51 Suppl:S28-40. doi: 10.1177/0022146510383498.

社会人口因素对 COVID-19 存活的影响:巴西一项全国 200 万住院患者队列研究。

Impact of sociodemographic factors on COVID-19 survival: a nationwide 2,000,000 in-patients' cohort in Brazil.

机构信息

Fundação Oswaldo Cruz, Escola Nacional de Saúde Pública Sergio Arouca - Rio de Janeiro (RJ), Brazil.

出版信息

Rev Bras Epidemiol. 2023 Oct 30;26:e230050. doi: 10.1590/1980-549720230050. eCollection 2023.

DOI:10.1590/1980-549720230050
PMID:37909489
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10626899/
Abstract

OBJECTIVE

To estimate the impact of sociodemographic factors on survival from COVID-19 in Brazil.

METHODS

Longitudinal data from a retrospective cohort of 2,000,000 hospitalizations due to COVID-19 in Brazil between March 2020 and May 2022, enrolled in SIVEP-Gripe, were analyzed.

RESULTS

The adjusted Cox model showed a 7% higher probability of death for men. 9% and 13% for the brown population compared to white and 16% for those living in the rural region. Long-lived elderly has a 301% higher probability when compared to young people.

CONCLUSION

Sociodemographic factors interfere with survival from COVID-19 and should gain prominence in theoretical models and clinical aspects, and should be considered when formulating public policies, especially in countries with greater social inequality, such as Brazil.

摘要

目的

评估社会人口因素对巴西 COVID-19 患者生存率的影响。

方法

对 2020 年 3 月至 2022 年 5 月期间因 COVID-19 住院的 200 万例患者的回顾性队列的纵向数据进行了分析,该数据来自 SIVEP-Gripe。

结果

调整后的 Cox 模型显示,男性的死亡概率高出 7%。与白人相比,棕色人种的死亡率分别高出 9%和 13%,而居住在农村地区的死亡率则高出 16%。与年轻人相比,长寿的老年人的死亡概率高出 301%。

结论

社会人口因素会影响 COVID-19 的生存率,应该在理论模型和临床方面引起重视,并在制定公共政策时考虑这些因素,特别是在社会不平等程度较高的国家,如巴西。