Evidence map›Paper›PMID 41193517›Full record

ArticleScientific reports2025

A network analysis of housing quality indicators and depression in women.

Faye Sanders, Lucy H Waldren, Vilte Baltramonaityte, Alexandre A Lussier, Esther Walton

Abstract read
In one paragraph

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

0numbers the graph read from it
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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

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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

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5 · Who and what money

Authors and funding

5 authors.

Faye SandersDepartment of Psychology, University of Bath, Bath, BA2 7AY, UK.
Lucy H WaldrenDepartment of Psychology, University of Bath, Bath, BA2 7AY, UK.
Vilte BaltramonaityteDepartment of Psychology, University of Bath, Bath, BA2 7AY, UK.
Alexandre A LussierPsychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, United States.
Esther WaltonDepartment of Psychology, University of Bath, Bath, BA2 7AY, UK. E.Walton@bath.ac.uk.

Funding

Childhood adversity, DNA methylation, and risk for depression: A longitudinal study of sensitive periods in developmentR01MH113930 · NIMH · PURDUE UNIVERSITY · PI Erin Cathleen Dunn · 2017 to 2026
$6.6M
EPSRC Centre for Doctoral Training in Advanced Automotive Propulsion Systems EP/S023364/1European Union's Horizon 2020 research and innovation programme 848158Leverhulme Trust RPG-2023-268MQ Fellows Award from the MQ Foundation MQF22\9National Institute of Mental Health of the National Institutes of Health R01MH113930NIMH NIH HHS R01 MH113930UK Research and Innovation (UKRI) under the UK government's Horizon Europe / ERC Frontier Research Guarantee EP/Y015037/1
6 · The paper itself

Abstract

Numerous studies have detected associations between poor housing quality and increased risk for mental illness. However, it currently remains unclear in associations between poor housing quality and increased risk for women's mental illness which housing quality indicators drive this association and hence which specific indicators should be prioritised in housing quality assessments or improvements. In a sample of up to 9,669 pregnant women, we used a network analysis to investigate cross-sectional associations between poor housing quality indicators (e.g., house size, facilities, leaks or condensation/mould, decorations, and feelings towards the home) and depressive symptoms (assessed at age 28). All 36 edges showed non-zero associations, whereby when considering all poor housing quality indicators 'feelings-towards-the-home' had the strongest association with depressive symptoms, and 'feelings-towards-the-home', in turn, was most strongly associated with house problems, size, and facilities. Our findings highlight the importance of using multiple (or composite) person-centred measures of housing quality in the context of maternal mental health.

Indexed as

DepressionHousingAdultCross-Sectional StudiesFemaleHumansMental HealthPregnancy

Identifiers

PMID41193517
PMCPMC12589598

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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.