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Record W4406902284 · doi:10.1016/j.appet.2025.107890

Examining how sociocultural appearance pressures relate to positive and negative facets of body image and eating behaviors in adolescents: An exploratory person-centered approach

2025· article· en· W4406902284 on OpenAlexafffund
Carolanne Tanguay, Kheana Barbeau, Geneviève L. Lavigne, Noémie Carbonneau

Bibliographic record

VenueAppetite · 2025
Typearticle
Languageen
FieldPsychology
TopicEating Disorders and Behaviors
Canadian institutionsUniversity of CalgaryUniversité du Québec à Trois-Rivières
FundersCanada Research Chairs
KeywordsPsychologySociocultural evolutionExploratory researchDevelopmental psychologyEating behaviorSocial psychologyMedicineObesitySociology

Abstract

fetched live from OpenAlex

The present study explored how patterns of sociocultural appearance pressures were linked to positive and negative facets of body image and eating behaviors in an adolescent sample (N = 438). Latent profile analyses indicated three distinct subgroups of perceived sociocultural appearance-related pressures: a Generalized-Pressure profile (28.8%) (moderate pressure from mother, father, and peers, and relatively high pressure from the media), a High-Media-Pressure profile (38.8%) (low pressure from mother, father, peers, and relatively high pressure from the media), and a Low-Pressure profile (32.4%) (low pressure from all sources). Overall, adolescents in the Generalized-Pressure profile reported a less positive relationship with food and their bodies (i.e., higher internalization of the thin ideal, body dissatisfaction, and bulimia symptoms, and lower body esteem and intuitive eating) than adolescents in the High-Media-Pressure profile, who exhibited poorer outcomes than those in the Low-Pressure profile. These findings highlight the importance of exploring how sociocultural appearance pressures from various sources combine in distinct ways, and how these configurations relate to different aspects of body image and eating behaviors in adolescents.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.032
Threshold uncertainty score0.801

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.031
GPT teacher head0.298
Teacher spread0.267 · 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 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

Citations5
Published2025
Admission routes2
Has abstractyes

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