Evidence map›Paper›PMID 36179530›Full record

ArticleHealth & place2022

Understanding the mental health impacts of poor quality private-rented housing during the UK's first COVID-19 lockdown.

Dillon Newton, Michael Lucock, Rachel Armitage, Leanne Monchuk, Philip Brown

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Health & place, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Housing Quality Improvement and Health Care Utilization: A Regression Discontinuity Study.Journal of policy analysis and management : [the journal of the Association for Public Policy Analysis and Management] · 2026
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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

5 authors.

Dillon NewtonSchool of Human and Health Sciences, University of Huddersfield, Queensgate, Huddersfield, West Yorkshire, HD1 3DH, UK. Electronic address: d.newton@hud.ac.uk.
Michael LucockSchool of Human and Health Sciences, University of Huddersfield, Queensgate, Huddersfield, West Yorkshire, HD1 3DH, UK.
Rachel ArmitageSchool of Human and Health Sciences, University of Huddersfield, Queensgate, Huddersfield, West Yorkshire, HD1 3DH, UK.
Leanne MonchukSchool of Human and Health Sciences, University of Huddersfield, Queensgate, Huddersfield, West Yorkshire, HD1 3DH, UK.
Philip BrownSchool of Human and Health Sciences, University of Huddersfield, Queensgate, Huddersfield, West Yorkshire, HD1 3DH, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper examines the mental health impacts of poor quality private-rented housing in the north of England during the UK's first COVID-19 lockdown. The paper draws on data collected from semi-structured telephone interviews with 40 renters in the private-rented sector. We use the Power Threat Meaning Framework to highlight how substandard housing was a social and material vulnerability which, underpinned by powerlessness, resulted in threats that created and exacerbated the mental-ill health of precarious private renters. The paper suggests the pandemic and increased time spent in unhealthy places of residence can create stresses at a time of broader structural fragility, and calls for the greater engagement and integration of health practitioners in the future development of housing policy at all levels.

Indexed as

COVID-19HousingCommunicable Disease ControlHumansMental HealthUnited KingdomCOVID-19Housing conditionsMental healthPrivate-rented housingSocial and material vulnerability

Identifiers

PMID36179530
PMCPMC9393172

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.