Evidence map›Paper›PMID 41050211›Full record

ArticleSSM - population health2025

The contribution of unpaid labour to poor mental health in the Swedish working population.

Anu Molarius, Fredrik Granström, Jennifer Ervin

Abstract read
In one paragraph

Article in SSM - population health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Anu MolariusCentre for Clinical Research, Region Värmland, Karlstad, Sweden.
Fredrik GranströmCentre for Clinical Research, Region Värmland, Karlstad, Sweden.
Jennifer ErvinCentre for Health Policy, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, Victoria, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Poor mental health is debilitating and of global public health concern. Unpaid labour has been recognised as an important yet neglected, and highly gendered, determinant of mental health. We examined the contribution of unpaid labour to poor mental health, in relation to other known risk factors, in employed adults. Study data is from 5462 employed Swedish women and men aged 30-49 years responding to a population survey in 2022. Independent associations between domestic work (inclusive of unpaid household and care work) and self-reported diagnosed depression and anxiety were examined by multiple logistic regression. The contributions of economic difficulties, loneliness, physical inactivity, risk consumption of alcohol and job dissatisfaction to depression and anxiety were also investigated. Gender-specific population attributable risks (PAR) were calculated to assess the contributions. In total, 10 % of the women and 6 % of the men reported depression while 12 % and 6 %, respectively, reported anxiety. Experiencing domestic work as burdensome explained 47 % (95 % CI: 31-57 %) (PAR) of the prevalence of depression in women, whereas no independent association was found in men. Loneliness, economic difficulties and physical inactivity accounted for 13-28 % of the prevalence of depression in both women and men. Burdensome domestic work was associated with anxiety in both genders and explained 22-25 % of the prevalence. Whilst longitudinal studies are needed, these results imply that unpaid labour is a highly important contributing factor to poor mental health, especially among women. Promoting a more equal division of unpaid labour has the potential to improve mental health across the working population.

Indexed as

GenderMental healthPopulation studiesSwedenUnpaid labour

Identifiers

PMID41050211
PMCPMC12489816

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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.