社会不平等和住在养老院的风险:对COVID-19大流行的影响

IF 2.1 Q2 DEMOGRAPHY
Genus Pub Date : 2021-01-01 Epub Date: 2021-06-23 DOI:10.1186/s41118-021-00119-5
Fabrizio Bernardi, Marco Cozzani, Francesca Zanasi
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引用次数: 7

摘要

在欧盟各国,所有现有证据都表明,住在养老院的人与COVID-19相关的死亡人数非常高。然而,收入和教育程度在多大程度上影响成为养老院居民的可能性,这在很大程度上是未知的。如果入住养老院的可能性根据社会经济地位分层,那么在当前COVID-19大流行的情况下,入住养老院的可能性中的社会经济不平等可能会加剧COVID-19死亡风险中的社会经济不平等。在这篇文章中,我们调查了在12个欧洲国家中,是否存在收入和教育程度的差异,使得人们在养老院居住的可能性有所不同。我们使用SHARE数据(波5-7)并为罕见事件计算逻辑回归模型。我们发现,受教育程度低的人和家庭收入低于全国中位数的人更有可能住在养老院。这一普遍模式适用于所有欧洲国家。然而,由于样本量小,我们的估计存在相当大的不确定性,并且无法得出关于各国社会经济特征影响如何变化的确切结论。然而,有一些迹象表明,斯堪的纳维亚国家(丹麦和瑞典)和荷兰的教育和收入差距最大,而意大利的差距最小,其余国家介于两者之间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Social inequality and the risk of living in a nursing home: implications for the COVID-19 pandemic.

Social inequality and the risk of living in a nursing home: implications for the COVID-19 pandemic.

Social inequality and the risk of living in a nursing home: implications for the COVID-19 pandemic.

Social inequality and the risk of living in a nursing home: implications for the COVID-19 pandemic.

Across EU countries, all available evidence suggests that the number of deaths linked to COVID-19 among those living in nursing homes has been extremely high. However, it is largely unknown to what extent income and education affect the probability of being a nursing home resident. If the probability of residing in a nursing home is stratified by socio-economic status, under the current COVID-19 pandemic socio-economic inequality in the probability of living in a nursing home could contribute to enlarge socio-economic inequalities in the risk of mortality with COVID-19. In this article, we investigate whether there are income and educational differences in the likelihood of being a resident in a nursing home across 12 European countries. We use SHARE data (waves 5-7) and compute logistic regression models for rare events. We find that low-educated individuals and those having household income below the national median are more likely to live in a nursing home. This general pattern holds across all the European countries considered. However, there is considerable uncertainty in our estimates due to a small sample size, and firm conclusions on how the effect of socio-economic characteristics varies across countries cannot be drawn. Still, there is some indication that educational and income differences are the largest in the Scandinavian countries (Denmark and Sweden) and the Netherlands, while the smallest ones are found in Italy, with the remaining countries laying in between.

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来源期刊
Genus
Genus Social Sciences-Demography
CiteScore
5.80
自引率
0.00%
发文量
33
审稿时长
8 weeks
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