Authors:	Horn, Vincent Semmler, Malte Schweppe, Cornelia
Title:	Older people in Germany during the COVID-19 pandemic : the least, the more, and the most affected
Online publication date:	14-Feb-2023
Year of first publication:	2021
Language:	english
Abstract:	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.
DDC:	370 Erziehung 370 Education
Institution:	Johannes Gutenberg-Universität Mainz
Department:	FB 02 Sozialwiss., Medien u. Sport
Place:	Mainz
ROR:	https://ror.org/023b0x485
DOI:	http://doi.org/10.25358/openscience-7490
Version:	Published version
Publication type:	Zeitschriftenaufsatz
License:	CC BY
Information on rights of use:	https://creativecommons.org/licenses/by/4.0/
Journal:	Journal of population ageing Version of Record (VoR)
Publisher:	Springer Netherlands
Publisher place:	Dordrecht
Issue date:	2021
ISSN:	1874-7876
Publisher DOI:	10.1007/s12062-021-09352-4
Appears in collections:	JGU-Publikationen