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Record W4401552528 · doi:10.1177/21582440241271292

Social Support, Depression and Self-Reported Physical Health in Persons Waiting for Access to Subsidized Housing

2024· article· en· W4401552528 on OpenAlexafffundabout
Julia Woodhall‐Melnik, Allyson Lamont, Emily Nombro, James R. Dunn, Daniel J. Dutton

Bibliographic record

VenueSAGE Open · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicHealth disparities and outcomes
Canadian institutionsMcMaster UniversitySaint John Regional HospitalDalhousie UniversityUniversity of New Brunswick
FundersInstitute of Population and Public HealthSocial Sciences and Humanities Research Council of CanadaCanada Research ChairsFondation de la recherche en santé du Nouveau-Brunswick
KeywordsMental healthSocial supportSubsidyPsychological interventionPsychologyMultilevel modelScale (ratio)Subsidized housingDepression (economics)GerontologySocial determinants of healthPublic healthEnvironmental healthPsychiatryMedicinePolitical scienceSocial psychologyEconomicsNursingGeography

Abstract

fetched live from OpenAlex

Housing is a pervasive determinant of physical and mental health. Studies indicate the importance of social support to the mental and physical health of individuals who are unhoused; however, to date, little is known about this relationship in persons who are housed in unaffordable accommodations. As the demand for subsidized housing continues to increase far beyond sustainable levels in many countries, investigations of the implications of social support on the health and wellbeing of those waiting for access to subsidized accommodations becomes important to generate evidence-based policy responses. Using data from the NB Housing Study, this paper presents an analysis of the relationships between perceived social support, depression, and self-reported physical health in individuals who wait for access to subsidized housing in New Brunswick, Canada ( n = 271). Hierarchical linear regression of Oslo Social Support Scale (OSSS-3) scores on Centre for Epidemiologic Studies Depression Scale 10 (CES-D-10) scores and of OSSS-3 scores on self-reported physical health scores finds increases in social support are associated with decreased depression ( F [1, 260] = 26.34, p < .001, R 2 = .32) and greater physical health ( F [1, 260] = 7.62, p = .006, R 2 = .15). The findings indicate a need to focus on health interventions that improve mental and physical health alongside social support. Implications for programming, policy, and future research are discussed.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.600
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.100
GPT teacher head0.476
Teacher spread0.376 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations1
Published2024
Admission routes3
Has abstractyes

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