Evidence map›Paper›PMID 41798091›Full record

ArticleJournal of public health research2026

Disabled and left behind: U.S. poor housing through a social determinants of health lens.

Patricia R Lawrence, Pat M Barrett, Melissa A Treanor, Madelief L Tilder, Lauren B Leeder, Raeda K Anderson, Chloe M Sellers, Daniel S Pasciuti

Abstract read
In one paragraph

Article in Journal of public health research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Patricia R LawrenceCenter for Leadership in Disability, School of Public Health, Georgia State University, Atlanta, USA.ORCID https://orcid.org/0000-0003-0651-3600
Pat M BarrettShepherd Center, Atlanta, GA, USA.ORCID https://orcid.org/0009-0004-9184-9356
Melissa A TreanorDepartment of Sociology, Georgia State University, Atlanta, USA.ORCID https://orcid.org/0009-0001-6918-7147
Madelief L TilderShepherd Center, Georgia State University, Atlanta, USA.ORCID https://orcid.org/0009-0000-5481-1173
Lauren B LeederDepartment of Sociology, Georgia State University, Atlanta, USA.ORCID https://orcid.org/0000-0002-4425-8826
Raeda K AndersonShepherd Center, Georgia State University, Atlanta, USA.
Chloe M SellersShepherd Center, Atlanta, GA, USA.
Daniel S PasciutiDepartment of Sociology, Affiliate Faculty, Urban Studies Institute, Georgia State University, Atlanta, USA.ORCID https://orcid.org/0000-0002-6152-9974

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Social determinants of health (SDOH), the conditions in which people live, work, play, and learn, are largely responsible for health inequities seen among individuals with disabilities. However, less is known about relationships between SDOH and poor housing for disabled adults. Using state-level SDOH proxy variables for economic stability, education, healthcare access, and the social and community context, this secondary data analysis examined the interrelated effects of SDOH proxy variables on poor housing for disabled adults in the United States. Design and methods: We used quantitative comparison and regression analysis of national, state-level estimates from the 2023 Annual Disability Statistics Compendium and 2021 American Community Survey data to investigate poor housing outcomes for disabled adults. We intentionally examine state-level estimates of prevalence rates, rather than individual-level data, to better understand the systemic nature of SDOH relationships for disabled adults. Results: Compared to non-disabled adults, a higher percentage of disabled adults reside in poor housing, have lower state-level employment rates, have higher rates of high school-only education, lower rates of 4-year college degrees, and have lower voter turnout. SDOH proxy variables of employment and education were consistently strong predictors of state-level poor housing for both disabled and non-disabled adults. When all four SDOH proxy variables were included in the regression analysis, they accounted for 62.6% and 62.7% of the variability in state-level poor housing for disabled and non-disabled adults, respectively. Conclusions: Findings suggest that including SDOH domains provides a robust model for understanding housing challenges for both disabled and non-disabled adults.

Indexed as

healthcare disparitieshealth inequitieshome environmenthousing instabilityhousing qualitypersons with disabilitiessocioeconomic factors

Identifiers

PMID41798091
PMCPMC12966559

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.