Attachment Insecurity Predicts Eating Disorder Symptoms and Treatment Outcomes in a Clinical Sample of Women
Bibliographic record
Abstract
We examined the extent to which attachment insecurity was related to eating disorder (ED) symptoms, and predictive of treatment outcomes. Women diagnosed with anorexia nervosa (AN) restricting subtype (ANR), AN binge purge subtype (ANB), or bulimia nervosa (BN) completed an attachment scale pretreatment, and ED symptom scales pretreatment (N = 243) and post-treatment (N = 157). A comparison sample of 126 non-ED women completed attachment scales on 1 occasion. Those with EDs had significantly higher attachment insecurity than non-ED. ANB was associated with higher attachment avoidance compared with ANR and BN, and higher attachment anxiety compared with BN. Higher attachment anxiety was significantly related to greater ED symptom severity and poorer treatment outcome across all EDs even after controlling for ED diagnosis. Attachment dimensions substantially contribute to our understanding of ED symptoms and treatment outcome. Addressing attachment insecurity when treating those with EDs may improve treatment outcomes.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".