Illness Anxiety and Interpersonal Guilt
Bibliographic record
Abstract
Introduction: This study investigated the relationship between illness anxiety and interpersonal guilt as conceived in control-mastery theory. Additionally, we explored how illness anxiety symptoms relate to general anxiety, depression, alexithymia, autonomic nervous system reactivity, personality functioning impairment, sociodemographic factors, and childhood experiences. Methods: A sample of 201 participants completed measures of illness anxiety (Health Anxiety Questionnaire), interpersonal guilt (Interpersonal Guilt Rating Scale-20s), anxiety (State-Trait Anxiety Inventory), depression (Beck Depression Inventory-II), alexithymia (Toronto Alexithymia Scale-20), personality dysfunction (Level of Personality Functioning-Brief Form 2.0), and autonomic nervous reactivity (Body Perception Questionnaire-22). Sociodemographic and childhood traumas and adverse experiences data were collected via an ad hoc questionnaire. Results:. Individuals with worried and autonomy-limiting caregivers reported higher levels of illness anxiety. Correlation analyses revealed significant positive associations with illness anxiety and all the variables measured. As expected, partial correlation demonstrated that separation/disloyalty guilt and burdening guilt are the most associated with illness anxiety symptoms. Unexpectedly, however, survivor guilt lost significance when controlling for other types of guilt. Hierarchical multiple regression identified anxiety as the strongest overall predictor of illness anxiety, followed by separation/disloyalty guilt and bodily reactivity indices. Discussion:. This study suggests that interpersonal guilt may be a key component in sustaining illness anxiety symptoms in anxious people. In particular, the interplay between anxiety, separation/disloyalty guilt, and autonomic overreactivity appears to contribute to illness anxiety concerns and behaviors. Working on these aspects may be essential for positive long-term outcomes of psychotherapy.
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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".