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Record W4414563930 · doi:10.1016/j.tjnut.2025.09.015

Interrogating Theories and Mechanisms Underlying Educational Inequities in Diet Quality

2025· article· en· W4414563930 on OpenAlexaff
Dana Lee Olstad, Lynn McIntyre

Bibliographic record

VenueJournal of Nutrition · 2025
Typearticle
Languageen
FieldHealth Professions
TopicFood Security and Health in Diverse Populations
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsEducational attainmentPsychosocialSocioeconomic statusMechanism (biology)Quality (philosophy)Resource (disambiguation)InequalityCognitionEducational equity

Abstract

fetched live from OpenAlex

Educational inequities in diet quality are large and growing in several nations. However, there is limited understanding of theories and mechanisms through which educational attainment shapes diet quality. The purpose of this critical review is to interrogate the empirical support for theories and mechanisms underlying educational attainment as a structural stratifier of dietary inequities in high-income countries. Relevant studies were identified through searches in PubMed and Google Scholar using keywords related to educational attainment, inequities, diet quality, nutrition, theory, mechanisms, health, and mortality. The evidence was qualitatively synthesized to identify key theories and mechanisms relevant to educational inequities in diet quality. We identified 7 theoretical perspectives that are commonly invoked to explain educational inequities in health-related outcomes that are relevant to diet quality, including: fundamental cause theory, human capital theory, signaling theory, commodity theory, resource substitution theory, resource multiplication theory, and the psychosocial hypothesis. We also identified 5 categories of mediating mechanisms that might underlie educational inequities in diet quality, including 1) individual knowledge, cognitive and noncognitive skills and traits, and sense of personal control; 2) psychosocial factors; 3) economic and employment resources; 4) socioeconomic, political, and historical contexts; and 5) social distinction. We identify and describe 7 key theories and 5 major mechanisms that may contribute to educational inequities in diet quality. These theories and mechanisms are not mutually exclusive and are likely all implicated in educational inequities in diet quality to some extent. However, their relative importance differs depending on the time, population, and setting in which they are studied. Given the paucity of studies that have examined theories and mechanisms underlying educational inequities in diet quality, we hope this article will stimulate research to uncover these pathways and that such studies will extend beyond economic and knowledge-related mechanisms.

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)0.008
metaresearch head score (Gemma)0.023
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.010
Threshold uncertainty score0.043

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.023
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0040.005
Science and technology studies0.0010.003
Scholarly communication0.0030.003
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.249
GPT teacher head0.535
Teacher spread0.286 · 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 designTheoretical or conceptual
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

Citations5
Published2025
Admission routes1
Has abstractyes

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