Childhood emotional neglect and depressive and anxiety symptoms among mental health outpatients: the mediating roles of narcissistic vulnerability and shame
Bibliographic record
Abstract
BACKGROUND: Theorized to stem from experiences of childhood emotional neglect, narcissistic vulnerability has been identified as contributing to expressions of psychiatric distress such as depressive and anxiety symptoms, particularly due to shame-proneness. AIMS: To investigate narcissistic vulnerability and shame as mediators between perceived childhood emotional neglect and depressive and generalized anxiety symptoms among psychiatric outpatients. METHODS: = 137) attending community mental health services completed self-report measures at intake. Mediation analyses tested the indirect effect of perceived emotional neglect on depressive and generalized anxiety symptom severity through narcissistic vulnerability; shame was added to subsequent models to examine narcissistic vulnerability and shame as sequential mediators. RESULTS: Perceived emotional neglect was significantly associated with narcissistic vulnerability, which in turn was linked with depressive and generalized anxiety symptoms as separate dependent variables. Indirect effects were significant in each model, indicating narcissistic vulnerability as a significant mediator. With the inclusion of shame, narcissistic vulnerability and shame were significant as sequential mediators. CONCLUSION: Narcissistic vulnerability and shame may operate as mechanisms in conferring affective symptom severity from perceived childhood emotional neglect. Narcissistic vulnerability and susceptibility to shame may thus be important treatment targets when addressing psychological distress in the context of childhood adversity.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".