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Record W2161206462 · doi:10.1037/hea0000135

Community, family, and subjective socioeconomic status: Relative status and adolescent health.

2014· article· en· W2161206462 on OpenAlexfundaboutno aff
Elizabeth Quon, Jennifer J. McGrath

Bibliographic record

VenueHealth Psychology · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicHealth disparities and outcomes
Canadian institutionsnot available
FundersCanadian Institutes of Health Research
KeywordsSocioeconomic statusPovertyMental healthPsychologyHealth equitySocial classCommunity healthSocial determinants of healthFamily incomeHousehold incomeEducational attainmentEnvironmental healthGerontologyPublic healthMedicinePopulationGeographyPsychiatry

Abstract

fetched live from OpenAlex

OBJECTIVE: Relative socioeconomic status (SES) may be an important social determinant of health. The current study aimed to examine how relative SES, as measured by subjective SES, income inequality, and individual SES relative to others in the community, is associated with a wide range of adolescent health outcomes, after controlling for objective family SES. METHOD: Adolescents (13-16 years; N = 2,199) from the Quebec Child and Adolescent Health and Social Survey were included. Socioeconomic measures included adolescents' subjective SES; parental education and household income; community education/employment, income, and poverty rate; and community income inequality. Health outcomes included self-rated health, mental health problems, dietary and exercise health behaviors, substance-related health behaviors, reported physical health, and biomarkers of health. Best-fitting multilevel regression models (participants nested within schools) were used to test associations. RESULTS: Findings indicated that lower subjective SES was associated with poorer health outcomes. After accounting for family SES, lower community education/employment had an additional negative effect on health, while lower community income had a protective effect for certain health outcomes. There was less evidence for an independent effect of income inequality. CONCLUSIONS: Findings highlight the importance of measures of relative SES that span across a number of levels and contexts, and provide further understanding into the socioeconomic gradient in adolescence.

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 score0.267
Threshold uncertainty score0.999

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 studies0.0020.001
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 head0.068
GPT teacher head0.441
Teacher spread0.373 · 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

Citations73
Published2014
Admission routes2
Has abstractyes

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