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Record W2959871250 · doi:10.1089/chi.2019.0050

Extracurricular Activity Involvement and Body Image in Youth with Obesity: The Mediating Role of Social Life

2019· article· en· W2959871250 on OpenAlexaff
Darcie D. Valois, Megan Lamb, Anne Bowker, Jane Rutherford, Annick Buchholz

Bibliographic record

VenueChildhood Obesity · 2019
Typearticle
Languageen
FieldPsychology
TopicEating Disorders and Behaviors
Canadian institutionsChildren's Hospital of Eastern OntarioCarleton University
Fundersnot available
KeywordsObesityMediationSelf-esteemWeight managementPsychologyGerontologyClinical psychologyDevelopmental psychologyMedicineWeight lossInternal medicine

Abstract

fetched live from OpenAlex

Background: Youth with severe obesity are vulnerable to body dissatisfaction. Extracurricular activity (ECA) involvement has been linked to positive social interactions and body image in community samples; however, these links remain to be tested in clinical samples of youth with severe obesity. The present study explored ECA involvement [both physical and nonphysical activities (PAs)] in a clinical sample of youth with obesity to determine whether ECA involvement was related to body image (appearance and weight esteem) and social life (i.e., social experiences with peers). Methods: Participants were 209 adolescents (Mean age = 15.05; 50.2% female) who completed a baseline assessment at a tertiary care weight management program. Results: Of the participants, 70.3% of youth reported participating in PAs, and 56.5% reported participating in non-PAs. As hypothesized, weight esteem and social life were higher in those who participated in PA vs. those who did not. Mediation analyses revealed that social life positively mediated the relationship between PA participation and weight esteem. Conclusions: Social life may be a mechanism by which PA participation is positively related to weight esteem in youth with severe obesity. Findings could inform weight management programs for youth with obesity who are at risk for social inclusion and body dissatisfaction.

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 score0.017
Threshold uncertainty score0.467

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 head0.007
GPT teacher head0.241
Teacher spread0.234 · 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

Citations3
Published2019
Admission routes1
Has abstractyes

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