Experience of caring for someone with anorexia nervosa: qualitative study
Bibliographic record
Abstract
BACKGROUND: Caring for someone with anorexia nervosa is distressing. AIMS: To gain a detailed understanding of carers' illness models and caregiving experiences. METHOD: Qualitative analysis and computerised text analysis were conducted on narratives written by parents as part of a family intervention at a specialist in-patient unit (20 mothers, 20 fathers). RESULTS: Themes concerned illness perceptions, impact on the family, and carers'emotional, cognitive and behavioural responses towards the illness. Parents perceived anorexia nervosa to be chronic and disabling. Carers blamed themselves as contributing to the illness and perceived themselves as helpless in promoting recovery. Mothers illustrated an intense emotional response, whereas fathers produced a more cognitive and detached account. CONCLUSIONS: Part of the distress in living with anorexia nervosa may be explained by unhelpful assumptions and maladaptive responses to the illness. Training parents in skills to manage the illness may improve outcome by reducing interpersonal maintaining factors.
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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 | 0.009 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.007 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".