Evidence map›Paper›PMID 40696292›Full record

ArticleBMC public health2025

Socioeconomic and sociodemographic differences in the consequences of the COVID-19 pandemic and their impact on self-rated health and mental well-being: results from a cross-sectional study in Germany.

Birgit Babitsch, Cristina Ciupitu-Plath

Abstract read
In one paragraph

Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

2 authors.

Birgit BabitschDepartment of New Public Health, Institute of Health Research and Education, School of Human Sciences, Osnabrück University, Osnabrück, Germany. bbabitsch@uos.de.
Cristina Ciupitu-PlathDepartment of Public Health, Bastyr University, Kenmore, WA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough the COVID-19 pandemic has demonstrably led to an increase in health inequities, only a few studies have analyzed their underlying mechanisms by taking into account socioeconomic status and sociodemographic differences at the same time. Similarly, only few studies have explored the impact of COVID-19 containment measures on inequities in living conditions, health-related risks, and coping resources. This study aims to address these gaps by exploring the complex associations of socioeconomic and sociodemographic factors with changes in life circumstances, pandemic-related experiences, self-rated health, and well-being among adults living in Germany.

methodsA total of 2,123 adults (women: 49.8%, men: 50.2%) living in Germany participated in the cross-sectional online study ExCo:Well between July and August 2022. The survey included questions on socioeconomic status, sociodemographic factors, social circumstances, resources and burdens, as well as health outcomes. The data were analyzed using bivariate and multivariable logistic regression analyses.

resultsOur results show significant disparities in self-rated health and mental well-being based on socioeconomic status. For sociodemographic differences, the results are mixed, with only women consistently showing worse health outcomes than men. Immigration status played a limited role. Although measures to contain the COVID-19 pandemic more commonly affected the life and work conditions of more privileged participants, socioeconomically disadvantaged participants experienced higher burdens and had fewer coping resources. Logistic regression analyses showed that health inequities decreased when resources and burdens were considered.

conclusionsBy covering the whole period of the COVID-19 pandemic, our data allow for an overall assessment of this critical time as well as a better understanding of mechanisms underlying health inequities. Our findings suggest that more important than the number of government-induced social changes is their quality and their potential to negatively impact material and social livelihoods in the long run. To improve health equity, tailored social security and health promotion interventions need to be systematically integrated in pandemic or crisis response plans.

Indexed as

COVID-19Health Status DisparitiesMental HealthSocial ClassAdultAgedCross-Sectional StudiesFemaleGermanyHumansMaleMiddle AgedPandemicsSelf ReportSociodemographic FactorsSocioeconomic FactorsBurdenCOVID-19Health inequityMental well-beingResourcesSelf-efficacySelf-rated healthSociodemographic factorsSocioeconomic status

Identifiers

PMID40696292
PMCPMC12281828

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LicenceCC BY
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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.