Evidence map›Paper›PMID 35611443›Full record

ArticleJournal of community psychology2023

Locked down: Ontological security and the experience of COVID-19 while living in poor-quality housing.

Philip Brown, Dillon Newton, Rachel Armitage, Leanne Monchuk, Brian Robson

Open access · hybridAbstract read
In one paragraph

Article in Journal of community psychology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
5.3field-weighted citation impact, top 4% of its field
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

3 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
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 at 1 institution in 1 country.

Philip BrownSchool of Human and Health Sciences, University of Huddersfield, Huddersfield, UK.ORCID http://orcid.org/0000-0002-5692-4865
Dillon NewtonSchool of Human and Health Sciences, University of Huddersfield, Huddersfield, UK.ORCID http://orcid.org/0000-0002-3569-6517
Rachel ArmitageSchool of Human and Health Sciences, University of Huddersfield, Huddersfield, UK.ORCID http://orcid.org/0000-0002-9106-4119
Leanne MonchukSchool of Human and Health Sciences, University of Huddersfield, Huddersfield, UK.ORCID http://orcid.org/0000-0002-2345-9979
Brian RobsonPolicy & Public Affairs, Northern Housing Consortium, Sunderland, UK.
University of Huddersfield · GB

Funding

The Nationwide FoundationThe Northern Housing ConsortiumThe University of Huddersfield
6 · The paper itself

Abstract

The aim of the paper is to illustrate how the housing system in the United Kingdom (UK) has contributed to creating vulnerabilities during the COVID-19 pandemic. Drawing on the concept of ontological security we look at how living with housing insecurity whilst enduring poor housing conditions has impacted the lives of those living in households. The paper draws on semi-structured interviews with 50 residents and 8 housing professionals. The findings outline the grinding impact of the pandemic on the ontological security of residents and the coping strategies adopted by a wider range of households who are now increasingly vulnerable. A number of people went into lockdown in vulnerable situations, experiencing deep inequalities and living in poorly maintained homes. This has weakened the ontological security experienced by many households. These represent significant failings of the housing system and housing policy impacting on the health and wellbeing of a wider cohort of people creating additional vulnerabilities.

Indexed as

COVID-19HousingAdaptation, PsychologicalCommunicable Disease ControlHumansPandemicsCOVID-19housingontological securitypoor-qualityUnited Kingdom

Identifiers

PMID35611443
PMCPMC9347395
OpenAlexW4281478293

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.