P-389 - Psychiatric comorbidity in benign paroxymal positional vertigo patients: A case-controlled study
Bibliographic record
Abstract
Vestibular disorders can trigger the onset of psychiatric disorders in predisposed individuals: these comorbidities are often underestimated, untreated and may consequently result in chronicization and poor quality of life. There are still few studies concerning the type and the prevalence of psychiatric disorders in patients with benign paroxysmal positional vertigo (BPPV). To evaluate psychiatric comorbidities, in particular anxiety, depression, somatisation disorder and alexithymia in a group of BPPV, patients compared to healthy subjects. Case-control study. We compared for psychiatric morbidity 92 BPPV patients and 141 controls (not suffering from BPPV) recruited at the ENT Unit of Modena General Hospital between November 2007 and December 2010. Beck Depression Inventory (BDI), Spielberger State-Trait Anxiety Inventory (STAI), Diagnostic Criteria for Psychosomatic Research (DCPR), Brief Symptom Inventory (BSI) and Toronto Alexithymia Scale (TAS-20) were used to assess psychiatric symptoms. BDI and STAI scores, BSI subscales for somatization, anxiety and phobic anxiety, DPCR subscales for disease phobia, functional somatic symptoms secondary to a psychiatric disorder and demoralization were significantly different between patients and controls. Conversely, significant differences between the two groups were not found for alexithymia scores. Affective disorders, such as depression, demoralization, phobia and anxiety, and somatisation appeared to be significantly prevalent in BPPV patients. Contrary to expectations, alexithymia was not found to be more common in these subjects. Further studies are needed, in order to identify psychiatric sufferings at early stages in this population.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".