An Examination of Clients' Attachment Styles, Affect Regulation, and Outcome in the Treatment of Depression
Bibliographic record
Abstract
This study investigated the relationships among attachment styles, affect regulation, and outcome in a clinical sample receiving treatment for depression. Sixty-six clients completed questionnaire measures of adult attachment, dysfunctional attitudes, interpersonal problems, self-esteem, and depression. Clients’ levels of affect regulation were assessed with an observer-rated measure of affect regulation. The study’s purpose was to extend previous research by examining the relationship between adult attachment and affect regulation within a clinical context. Results indicated significant and positive associations between clients’ attachment security and their levels of affect regulation at early and late stages of psychotherapy. Late modulation of expression and arousal were found to mediate the relationship between pre-treatment attachment insecurity and outcome. Pre-treatment attachment avoidance, characterized by high discomfort with closeness, had a direct relationship with depressive symptoms not mediated by the cognitive-affective processes of affect regulation. Implications of present findings for the treatment of depression are discussed.
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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 | 0.002 | 0.006 |
| 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 | 0.001 | 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".