“I don't want them to think that what they said matters”: How treatment ‐ seeking adolescents with severe obesity cope with <scp>weight‐based</scp> victimization
Bibliographic record
Abstract
Adolescents with severe obesity are subject to a high prevalence of weight-based victimization that may lead to pervasive mental health symptoms. However, different coping strategies could potentially modulate these psychological consequences. This study aims to explore how treatment-seeking adolescents with severe obesity cope with weight-based victimization. This was a qualitative research study using an interpretive phenomenological analytic approach. One-on-one semi structured interviews were completed with 19 adolescents (63% female) enrolled in a weight management program. The interviews were transcribed and sequentially analysed until data saturation was attained. The majority of participants (89.5%) described being a victim of weight-based victimization and highlighted a significant emotional toll. Two key themes were identified that captured the various coping strategies used by participants. Over half (52.9%) described approach coping strategies where they acted on the source to invoke change by standing up for themselves, helping others in similar situations or becoming a bully themselves. Whilst the majority (94.1%) used avoidant coping strategies such as feigning a strong exterior façade, denial, isolation and self-harm. Nearly half (47.1%) used both strategies. Treatment-seeking adolescents with severe obesity commonly use avoidant coping strategies to deal with weight-based victimization. These strategies are associated with negative mental health outcomes and should be evaluated when counselling adolescents with obesity who have experienced weight-based victimization.
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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 | 0.005 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.004 | 0.005 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".