Predicting homelessness: Housing risk insights from latent class analysis.

Autor: Marçal KE; School of Social Work, Rutgers University, New Brunswick, NJ, United States of America., Barr N; School of Social Work, University of Nevada Las Vegas, Las Vegas, NV, United States of America.
Jazyk: angličtina
Zdroj: PloS one [PLoS One] 2024 Jul 05; Vol. 19 (7), pp. e0306534. Date of Electronic Publication: 2024 Jul 05 (Print Publication: 2024).
DOI: 10.1371/journal.pone.0306534
Abstrakt: 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.
Competing Interests: The authors have declared that no competing interests exist.
(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.)
Databáze: MEDLINE
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