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Horn V, Semmler M, Schweppe C. Older People in Germany During the COVID-19 Pandemic:The Least, the More, and the Most Affected. J Popul Ageing. 2021;1-22doi: 10.1007/s12062-021-09352-4.
Horn, V., Semmler, M., & Schweppe, C. (2021). Older People in Germany During the COVID-19 Pandemic:The Least, the More, and the Most Affected. Journal of population ageing, 1-22. https://doi.org/10.1007/s12062-021-09352-4
Horn, Vincent, et al. "Older People in Germany During the COVID-19 Pandemic:The Least, the More, and the Most Affected." Journal of population ageing vol. (2021): 1-22. doi: https://doi.org/10.1007/s12062-021-09352-4
Horn V, Semmler M, Schweppe C. Older People in Germany During the COVID-19 Pandemic:The Least, the More, and the Most Affected. J Popul Ageing. 2021 Dec 13;1-22. doi: 10.1007/s12062-021-09352-4. Epub 2021 Dec 13. PMID: 34925638; PMCID: PMC8666192.
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J Popul Ageing. 2021 Dec 13;1-22. doi: 10.1007/s12062-021-09352-4. Epub 2021 Dec 13.

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

Journal of population ageing

Vincent Horn, Malte Semmler, Cornelia Schweppe

Affiliations

  1. Institute of Education, Johannes Gutenberg-University, Mainz, Germany.
  2. Göttingen, Germany.

PMID: 34925638 PMCID: PMC8666192 DOI: 10.1007/s12062-021-09352-4

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.

SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s12062-021-09352-4.

© The Author(s) 2021.

Keywords: COVID-19; Latent class analysis; Older people; Pandemic

Conflict of interest statement

Conflicts of interest/Competing interestsAll authors certify that they have no affiliations with or involvement in any organization or entity with any financial interest or non-financial interest in t

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