Inhibited expression of negative emotions and interpersonal orientation in anorexia nervosa
Bibliographic record
Abstract
OBJECTIVE: This study examined inhibited expression of negative feelings and interpersonal orientation in women with anorexia nervosa. METHOD: Twenty-one women meeting DSM-IV criteria for anorexia nervosa were compared with 21 psychiatric and 21 normal control women matched on education. Two measures were used to assess inhibited expression of negative feelings and interpersonal orientation: the State-Trait Anger Expression Inventory assesses the suppression and expression of anger and the Silencing the Self Scale assesses four cognitive schemas involving the repression of needs and feelings to protect interpersonal relationships. RESULTS: Women with anorexia nervosa reported significantly higher scores on the four Silencing the Self schemas and on suppressed anger after controlling for age. These group differences were maintained for two of the cognitive schemas (Care and Silence) after controlling for depression, self-esteem, and global assessment of functioning. Inhibited expression of negative emotion and interpersonal orientation scores were also significantly related to cognitive and affective components of body image dissatisfaction and to trait and self-presentational dimensions of perfectionism. DISCUSSION: These findings are reviewed in the context of health psychology, as well as feminist and temperament theories. Implications for treatment are addressed.
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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 | 0.000 | 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".