Evidence map›Paper›PMID 39587583›Full record

ArticleInternational journal for equity in health2024

Intersectional inequalities in mental health by education, income, gender, and age before and during the COVID-19 pandemic in the Netherlands: a longitudinal study.

Sanne E Verra, Clare Evans, Joost Oude Groeniger, John de Wit, Maartje P Poelman, Carlijn B M Kamphuis

Abstract read
In one paragraph

Article in International journal for equity in health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Sanne E VerraDepartment of Interdisciplinary Social Science, Utrecht University, Sjoerd Groenman building Padualaan 14, 3584CH, Utrecht, The Netherlands. s.e.verra@uu.nl.
Clare EvansDepartment of Sociology, University of Oregon, Eugene, OR, USA.
Joost Oude GroenigerDepartment of Public Health, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands.
John de WitDepartment of Interdisciplinary Social Science, Utrecht University, Sjoerd Groenman building Padualaan 14, 3584CH, Utrecht, The Netherlands.
Maartje P PoelmanChair Group Consumption and Healthy Lifestyles, Wageningen University & Research, Wageningen, the Netherlands.
Carlijn B M KamphuisDepartment of Interdisciplinary Social Science, Utrecht University, Sjoerd Groenman building Padualaan 14, 3584CH, Utrecht, The Netherlands.

Funding

Nederlandse Organisatie voor Wetenschappelijk Onderzoek VIDI 198-001
6 · The paper itself

Abstract

backgroundIt remains unclear how COVID-19 has disproportionately affected the mental health of different vulnerable groups. This study explores how mental health inequalities changed between 2014 (pre-COVID-19) and 2021 (during COVID-19) in the Netherlands across intersectional social strata defined by interplays of educational attainment, income level, gender, and age.

methodsUsing 2014 and 2021 self-reported cohort data on health and living conditions of the adult population of Eindhoven and surroundings (N = 1,157), a Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy (MAIHDA) was applied to explore intersectional inequalities in mental health in 2014, 2021, and in mental health changes (2014-2021). We examined this using the Mental Health Inventory-5 across 53 intersectional social strata based on interplays of education, income, gender, and age in 2014.

resultsThere were substantial differences in mental health trajectories across social strata. Between-stratum mental health inequalities were patterned additively, indicating that inequality patterns along one axis (such as income) tended to be consistent across other axes of comparison. Additive trends revealed that women with a low income were at highest risk of poor mental health in 2014 and 2021, and people over 65 were at highest risk of mental health setbacks over time. Nonsignificant educational inequalities were found in 2014 and 2021. Income inequalities persisted, but slightly decreased in 2021 due to stronger mental health setbacks among those with high incomes. Women experienced persisting disadvantages that slightly flattened over time, and the mental health advantages of older age diminished over time.

conclusionsInequalities in mental health add up for those who experience multiple axes of disadvantage, such as women and those with low incomes, but no disproportionate intersectional interaction effects were found. Effort is needed to ensure that mental health support is accessible for all, especially those with low incomes. Given the especially strong mental health declines among those over 65, responses to future crises need to include measures to protect the mental health of the elderly. Future research should investigate intersectional inequalities along other axes of disadvantage, such as ethnicity, employment and family status.

Indexed as

COVID-19Educational StatusIncomeMental HealthAdultAgedAge FactorsFemaleHealth Status DisparitiesHumansLongitudinal StudiesMaleMiddle AgedNetherlandsPandemicsSARS-CoV-2COVID-19Gender inequalityHealth inequitiesIntersectional frameworkLongitudinal studyMental healthMultilevel analysisSocial inequalitySocioeconomic disadvantage in health

Identifiers

PMID39587583
PMCPMC11590372

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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.