Older People in Germany During the COVID-19 Pandemic:The Least, the More, and the Most Affected

被引:7
|
作者
Horn, Vincent [1 ]
Semmler, Malte
Schweppe, Cornelia [1 ]
机构
[1] Johannes Gutenberg Univ Mainz, Inst Educ, Mainz, Germany
关键词
COVID-19; Pandemic; Older people; Latent class analysis; ADULTS;
D O I
10.1007/s12062-021-09352-4
中图分类号
R4 [临床医学]; R592 [老年病学];
学科分类号
1002 ; 100203 ; 100602 ;
摘要
Older people have been identified as a particularly vulnerable group during the COVID-19 pandemic. However, the question of how older people actually fared during the COVID-19 pandemic has only been sporadically addressed. This article aims to partly fill this gap by classifying subgroups of older people using Latent Class Analysis. Indicators used are: risk perception, safety behavior, and well-being. To predict subgroup membership, age, gender, living arrangement, children, chronic illness, conflict, socioeconomic status, and migration history are controlled for. The data analyzed stem from a phone survey among 491 older people (75-100 years) in Germany conducted in September/October 2020. Results show that three subgroups of older people - the least, the more and the most affected - can be formed based on their risk perception, safety behavior, and well-being, indicating the usefulness of these three constructs for identifying and studying older people particularly affected by the COVID-19 pandemic and the measures taken to contain it.
引用
收藏
页码:5 / 26
页数:22
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