Eating Disorders in Sexual and Gender Minority Adolescents
Bibliographic record
Abstract
PURPOSE OF REVIEW: To consolidate recent literature addressing eating disorders and disordered eating behaviors among sexual and gender minority (SGM) adolescents, including but not limited to lesbian, gay, bisexual, transgender, and queer (LGBTQ) adolescents. RECENT FINDINGS: Sexual and gender minority adolescents are at heightened vulnerability to eating disorders and disordered eating behaviors compared to their cisgender and heterosexual peers, potentially due to minority stress, gender norms, objectification, and the influence of the media, peers, and parents. We report findings from recent literature on the epidemiology and prevalence, assessment, mental health comorbidity, quality of life and psychosocial functioning, risk and protective factors, and treatment and interventions for eating disorders in sexual and gender minority adolescents. Addressing eating disorders in sexual and gender minority adolescents requires an integrated approach consisting of screening, tailored treatment, and comprehensive support to address intersectional challenges. Gender-affirming and trauma-informed care approaches may be considered.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".