Extracurricular Activity Involvement and Body Image in Youth with Obesity: The Mediating Role of Social Life
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".