Predicting homelessness: Housing risk insights from latent class analysis.


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2024
Historique:
received: 04 09 2023
accepted: 19 06 2024
medline: 5 7 2024
pubmed: 5 7 2024
entrez: 5 7 2024
Statut: epublish

Résumé

Millions of families with children in the U.S. struggle to afford adequate housing. Housing cost burden places families at risk for homelessness, and prevention efforts are hindered by limited understanding of insecure housing experiences at the margins. The present study investigated variation in housing insecurity experiences in a sample of mothers, as well as which risk profiles were most strongly associated with subsequent homelessness. Latent class analysis identified four distinct subgroups of housing insecurity: "Stable," "Unstable," "Rent-Focused," and "Strategic Bill-Paying." Classes differed on whether they made rent or utility payments on time, experienced utility shutoffs, or were evicted. Mothers who missed rent payments were significantly more likely to experience subsequent homelessness, whereas those who prioritized rent were more likely to have their utilities shut off but remain housed. Policy efforts should emphasize increased wages, rent control, changes to zoning laws and tax codes to prioritize affordable housing, and benefits that help mothers maintain their incomes such as comprehensive healthcare, paid maternity leave, and subsidized childcare.

Identifiants

pubmed: 38968256
doi: 10.1371/journal.pone.0306534
pii: PONE-D-23-28018
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0306534

Informations de copyright

Copyright: © 2024 Marçal, Barr. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

Auteurs

Katherine E Marçal (KE)

School of Social Work, Rutgers University, New Brunswick, NJ, United States of America.

Nicholas Barr (N)

School of Social Work, University of Nevada Las Vegas, Las Vegas, NV, United States of America.

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Classifications MeSH