Silencing the self and suppressed anger: relationship to eating disorder symptoms in adolescent females
Bibliographic record
Abstract
Abstract Objective: This study examined the extent to which inhibited expression of negative feelings and an interpersonal style that focuses on others' needs and expectations are related to eating disorder symptoms in adolescent females. Method: Female high school adolescents (N = 235) completed the Anger Expression Scale, the Silencing the Self Scale, and measures of eating disorder symptoms, self‐esteem, and psychological adjustment. Results: Adolescents with higher eating disorder symptom scores had significantly higher levels of anger inhibition and silencing the self scores. In regression analyses, the Silencing the Self and Anger Expression Scales contributed statistically significant unique variance to cognitive and behavioural eating disorder symptoms scores after controlling for shape‐ and weight‐based self‐esteem. A similar, though weaker, pattern of results was found after controlling for global self‐esteem. Discussion: These results partially replicate relationships found between inhibited self‐expression and eating disorder symptoms in adult clinical samples. Implications for the development of eating disorder symptoms are addressed. Copyright © 2002 John Wiley & Sons, Ltd and Eating Disorders Association.
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 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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".