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Record W4220965479 · doi:10.1111/1467-9566.13445

Are stress‐related pathways of social status differentiation more important determinants of health inequities in countries with higher levels of income inequality?

2022· article· en· W4220965479 on OpenAlexafffundabout
Dana Lee Olstad, Sara Nejatinamini, Lana Vanderlee, Katherine M. Livingstone, David J.T. Campbell, Karen Tang, Leia Minaker, David Hammond

Bibliographic record

VenueSociology of Health & Illness · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicHealth disparities and outcomes
Canadian institutionsUniversity of WaterlooFoothills Medical CentreUniversité LavalCentre Integre de Sante et de Services Sociaux de LavalUniversity of Calgary
FundersNational Health and Medical Research CouncilCanadian Institutes of Health ResearchMedical Research CouncilCumming School of Medicine, University of Calgary
KeywordsPsychosocialSocioeconomic statusStructural equation modelingSocial determinants of healthSocial inequalityPovertyPsychologyInequalityDemographic economicsEnvironmental healthPublic healthMedicineEconomic growthEconomicsPopulation

Abstract

fetched live from OpenAlex

We explored socioeconomic gradients in self-rated overall health (SROH) using indicators of materialist (educational attainment and perceived income adequacy) and psychosocial perspectives (subjective social status (SSS)) among adults living in countries with varying levels of income inequality, and the importance of psychosocial stress in mediating these associations. If psychosocial processes at the individual and societal levels correspond, associations between SSS and SROH should be higher among adults in countries with higher income inequality, and psychosocial stress should be a more important mediator of these associations. We used multigroup structural equation models to analyse cross-sectional data from the International Food Policy Study of adults (n = 22,824) in Australia, Canada, Mexico, the UK and the United States. Associations between SSS and SROH were not higher in more unequal countries, nor was psychosocial stress a more important mediator of these associations. Inequities in SROH in more unequal countries may not predominantly reflect stress-related pathways of social status differentiation.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.054
GPT teacher head0.365
Teacher spread0.312 · 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 source (direct Gemma or distilled Codex), not a consensus.

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

Citations6
Published2022
Admission routes3
Has abstractyes

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