Emotion dysregulation in hypochondriasis and depression
Bibliographic record
Abstract
BACKGROUND: The aim of this study was to explore whether certain aspects of emotion dysregulation (i.e., facets of alexithymia and rumination) are more closely linked to hypochondriasis than to depression and vice versa. METHODS: Nineteen patients with hypochondriasis (HYP), 33 patients with depression, and 52 healthy control participants completed the Toronto Alexithymia Scale, the Response Styles Questionnaire, and additional symptom and illness behaviour scales. A clinical interview was used to establish DSM-IV diagnoses and to exclude all cases with more than one axis I diagnosis. RESULTS: Depression patients reported more difficulties describing feelings and more symptom- and self-focused rumination than both HYP patients and healthy individuals, whereas HYP patients differed only from healthy individuals in regard to more difficulties in identifying feelings and more symptom-focused rumination. Multiple regression analyses, including all assessed facets of emotion dysregulation, showed that the degree of somatoform features (somatic symptoms, health anxiety, and illness behaviour) was specifically predicted by higher difficulties in identifying feelings scores, whereas depressive symptom levels were specifically predicted by higher rumination scores. CONCLUSIONS: Specific associations were found between difficulties in identifying feelings and key features of HYP, whereas depression was linked to a more generalized pattern of emotion regulation deficits. KEY PRACTITIONER MESSAGE: Emotion dysregulation can be found in hypochondriasis and depression Difficulties in identifying own feelings are specifically linked to somatic symptoms, health anxiety, and illness behaviour, whereas a more generalized pattern of emotion dysregulation is found in relation to depression Further research is needed to investigate whether the effectiveness of current treatments for depression, hypochondriasis, health anxiety, and related disorders could be improved by additional emotion regulation interventions.
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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 | 0.000 | 0.000 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".