Negative feedback‐seeking in depression: The moderating roles of rumination and interpersonal life stress
Bibliographic record
Abstract
OBJECTIVES: Swann's self-verification theory proposes that negative feedback seeking (NFS)-the solicitation of negative feedback from others that confirms one's self-views-works in a negative cycle to maintain and exacerbate depression in the face of interpersonal stress. We propose a cognitive-interpersonal integration account of NFS such that this maladaptive behavior prospectively predicts depression only among those with a trait tendency to ruminate on the causes and consequences of depressed mood and stress. METHOD: Participants included 91 young adults who were over-sampled for a lifetime history of a unipolar depressive disorder (age 17-33; 69% women; 67% lifetime depressive disorder). At baseline, participants completed a structured diagnostic interview and self-report measures of NFS, rumination, and depression symptoms. In addition, participants engaged in an interpersonal rejection task (the Yale Interpersonal Stressor) followed by a behavioral measure of NFS. At a 3-month follow-up, depression symptoms were again assessed by self-report and exposure to stressful interpersonal life events in the intervening period were assessed with a rigorous contextual interview and independent rating system. RESULTS: Controlling for baseline depression severity, greater self-reported, and behaviorally assessed NFS predicted greater follow-up depression severity, but only among those with higher trait tendency to ruminate. For self-reported NFS, this association was further moderated by level of interpersonal, but not noninterpersonal, life events experienced over follow-up. CONCLUSION: These findings suggest that rumination may represent a modifiable intervention target that could break the vicious interpersonal cycle of depression and, thus, mitigate the depressogenic effects of NFS.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".