ArticleJournal of population ageing2023
Older People in Germany During the COVID-19 Pandemic:The Least, the More, and the Most Affected.
Article in Journal of population ageing, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
6 citing papers in PubMed, 9 citations in OpenAlex.
- The impact of national context on COVID-19 vaccine hesitancy across Europe.BMC public health · 2026Article
- "Empathy for children is often missing": a mixed methods analysis of a German forum on COVID-19 pandemic measures.BMC public health · 2024Article
- Social factors of health-related quality of life in older adults: a multivariable analysis.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2023Article
- Are psychological status and trust in information related to vaccine hesitancy during COVID-19 pandemic? A latent class and mediation analyses in Italy.Human vaccines & immunotherapeutics · 2022Article
- Six months SARS-CoV-2 serology in a cohort of mRNA vaccinated subjects over 90 years old.Scientific reports · 2022Article
- Immunosenescence and Altered Vaccine Efficiency in Older Subjects: A Myth Difficult to Change.Vaccines · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.