Affordable Housing and Neighborhood Child Maltreatment Reports.

child protective services neighborhoods poverty spatial analysis

Journal

Child maltreatment
ISSN: 1552-6119
Titre abrégé: Child Maltreat
Pays: United States
ID NLM: 9602869

Informations de publication

Date de publication:
23 Nov 2023
Historique:
pubmed: 23 11 2023
medline: 23 11 2023
entrez: 23 11 2023
Statut: aheadofprint

Résumé

Reports of child maltreatment vary by neighborhood characteristics, yet the influence of housing affordability is less understood. The current study examines the relationship between reports of suspected child maltreatment and the spatial distribution of affordable housing across 2,341 census tracts in Los Angeles County, California. Bayesian conditionally autoregressive model results indicate that neighborhoods where residents paid a greater share of their income in rent had fewer reports of suspected child maltreatment, while neighborhoods with a higher number of subsidized rental units had more reports. These findings suggest that higher cost neighborhoods provide supportive resources and amenities to families which may reduce risk of child maltreatment. Subsidized housing units are more likely to be located in high poverty, under resourced neighborhoods, thus undermining the benefits of these programs to families. These findings have implications for equitable housing policy that promotes inclusive communities as a primary prevention strategy for child maltreatment.

Identifiants

pubmed: 37994644
doi: 10.1177/10775595231218177
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

10775595231218177

Déclaration de conflit d'intérêts

Declaration of Conflicting InterestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Auteurs

Tenesha Littleton (T)

School of Social Work, University of Alabama, Tuscaloosa, AL, USA.

Bridget Freisthler (B)

College of Social Work, The Ohio State University, Columbus, OH, USA.

Classifications MeSH