Evidence map›Paper›PMID 40771562›Full record

ArticleInternational journal of public health2025

Socioeconomic and Demographic Factors Associated With Mortality Before and During the COVID-19 Pandemic: An Analysis of 28 European Countries.

Paola Sillitti, Clément Meier, Olivier Mucchiut, Jürgen Maurer, Ralf J Jox

Abstract read
In one paragraph

Article in International journal of 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.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Paola SillittiFaculty of Business and Economics (HEC), University of Lausanne, Lausanne, Switzerland.
Clément MeierFaculty of Business and Economics (HEC), University of Lausanne, Lausanne, Switzerland.
Olivier MucchiutFaculty of Business and Economics (HEC), University of Lausanne, Lausanne, Switzerland.
Jürgen MaurerFaculty of Business and Economics (HEC), University of Lausanne, Lausanne, Switzerland.
Ralf J JoxLausanne University Hospital (CHUV), Lausanne, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: The pandemic was the most significant event affecting health systems in the last 100 years. Research shows that gender, age and socioeconomic status were associated with higher mortality during the pandemic. However, most studies are cross-sectional and country specific. This paper assesses sociodemographic characteristics associated with time and cause of death in Europe between 2018 and 2022. Methods: The analysis includes 7,137 decedents aged over 50, using post-death interviews with proxy respondents, from the Survey on Health, Ageing, and Retirement in Europe (SHARE). Data from 28 countries, from SHARE waves 7 to 9, are examined using t-tests, chisquaretests and multivariate logit regression models, controlling for sociodemographic characteristics. The three binary outcome variable sindicate the time and cause of death. Results: Being male, older, without a partner, self-reporting financial difficulties, and living in Eastern Europe were associated with an increased likelihood of dying during the pandemic. The association was stronger for deaths due to COVID-19, respiratory and infectious diseases. Conclusion: The pandemic highlighted socioeconomic gradients in mortality. These results call for policymakers to prepare for future shocks, ensuring equal access to adequate care.

Indexed as

COVID-19MortalityAgedAged, 80 and overAge FactorsCause of DeathCross-Sectional StudiesEuropeFemaleHumansMaleMiddle AgedPandemicsSARS-CoV-2Sex FactorsSociodemographic FactorsCOVID-19end of lifehealth inequalitiespandemicsocioeconomic inequalities

Identifiers

PMID40771562
PMCPMC12326546

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.