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Record W4414796365 · doi:10.1080/10530789.2025.2564469

The association between stress and health among recently incarcerated adults experiencing homelessness

2025· article· en· W4414796365 on OpenAlexfundno aff
Cozette Comer, Rebecca J. Marcolina, Michael S. Businelle, Rodolfo A. Perez, Jennifer M. Reingle

Bibliographic record

VenueJournal of Social Distress and the Homeless · 2025
Typearticle
Languageen
FieldHealth Professions
TopicHomelessness and Social Issues
Canadian institutionsnot available
FundersNational Institute on Minority Health and Health DisparitiesInstitute of Mental Health, University of British ColumbiaCancer Center, University of Florida HealthOklahoma Tobacco Settlement Endowment Trust
KeywordsAssociation (psychology)Stress (linguistics)Mental healthFight-or-flight responsePsychological stress

Abstract

fetched live from OpenAlex

Adults experiencing homelessness (AEH) experience more stress and be less equipped to manage stressors compared to the general population. These stressful experiences have negative effects on the health of AEH. We examined the associations between stress and physical and mental health among 403 AEH recently released from jail (AEH+J) in Dallas, Texas, between April 2018 and May 2023. The sample was 85% male and 59% non-Hispanic Black, with a mean age of 40.3 years (SD = 10.9), 69% completed high school, and the median current homelessness episode was 14.1 months. We measured stress using the Urban Life Stressor Scale, physical/mental health using the Short Form-12, and health-related quality of life (HRQoL) using CDC scales. Increased stress was robustly associated with poorer physical health (b = −0.092; 95% CI −0.131 – −0.053) and mental health (b = −0.125; 95% CI −0.176 – −0.074), even after accounting for age, employment status and duration of the current homelessness. We also detected a statistically significant association between stress and poorer HRQoL (b = 0.008; 95% CI 0.003 – 0.014). These findings underscore the critical need for interventions to reduce stress among AEH+J, which can improve physical and mental health outcomes, ultimately enhancing quality of life.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.179
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0050.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.020
GPT teacher head0.363
Teacher spread0.344 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

Explore more

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