Evidence map›Paper›PMID 39022423›Full record

ArticleFrontiers in public health2024

Temporal dynamics of socioeconomic inequalities in depressive and anxiety symptoms during the COVID-19 pandemic: a scoping review.

Kiara Herrmann, Florian Beese, Lina Wollgast, Elvira Mauz, Christina Kersjes, Jens Hoebel, Benjamin Wachtler

Abstract readScoping Review
In one paragraph

Article in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Trends in depressive symptoms in Germany's adult population 2008-2023.Social psychiatry and psychiatric epidemiology · 2026
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  6. Observational
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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

7 authors.

Kiara HerrmannInstitute of Public Health, Charité - University Medicine Berlin, Berlin, Germany.
Florian BeeseDepartment of Epidemiology and Health Monitoring, Robert Koch Institute, Berlin, Germany.
Lina WollgastDepartment of Epidemiology and Health Monitoring, Robert Koch Institute, Berlin, Germany.
Elvira MauzDepartment of Epidemiology and Health Monitoring, Robert Koch Institute, Berlin, Germany.
Christina KersjesDepartment of Epidemiology and Health Monitoring, Robert Koch Institute, Berlin, Germany.
Jens HoebelDepartment of Epidemiology and Health Monitoring, Robert Koch Institute, Berlin, Germany.
Benjamin WachtlerDepartment of Epidemiology and Health Monitoring, Robert Koch Institute, Berlin, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The existence of socioeconomic inequalities in the prevalence of symptoms of depression and anxiety is widely acknowledged, and individuals from lower socioeconomic backgrounds tend to exhibit higher rates of symptoms. However, the direction in which the COVID-19 pandemic has influenced these disparities remains uncertain. We therefore aimed to systematically outline the available evidence on the temporal dynamics of socioeconomic inequalities in symptoms related to depression and anxiety during the COVID-19 pandemic across high-income countries. Methods: A scoping review was conducted by searching the databases Embase, Scopus and PsycINFO. According to pre-defined eligibility criteria, two reviewers independently screened titles and abstracts as well as full texts of the compiled records. Data from the included studies were extracted using a standardised data-extraction form and analysed numerically and narratively. The scoping review followed the PRISMA-ScR guidelines. Results: A total of 49 studies comprising 149 analyses of socioeconomic indicators in relation to symptoms of depression and anxiety were included. Despite heterogeneous study designs and results, there was a tendency of increasing (40.9%; Conclusion: Overall, to the detriment of those with lower socioeconomic status, mental-health inequalities persisted or increased in most analyses. Continually monitoring socioeconomic inequalities over time is crucial, since this makes it possible to adapt prevention and intervention strategies to specific pandemic phases. Interventions targeting job security, income security and educational attainment could reduce mental-health inequalities. The results can contribute to preparedness plans for future pandemics and crises.

Indexed as

AnxietyCOVID-19DepressionHealth Status DisparitiesSocioeconomic FactorsHumansPandemicsPrevalenceSARS-CoV-2anxiety symptomsCOVID-19 pandemicdepressive symptomsmental healthsocioeconomic inequalities

Identifiers

PMID39022423
PMCPMC11252079

What OpenQuestion holds

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Registered trials

None linked

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.