Investigation into Psychological Correlates of Patients with Vocal Nodules Using the Symptom Checklist-90-Revision
Bibliographic record
Abstract
OBJECTIVE: The purpose of this study was to analyze the psychological characteristics of patients with vocal nodules and to establish the relationship between these characteristics and the development of vocal nodules. SETTING: A tertiary medical centre. DESIGN AND METHOD: The patient group consisted of 41 housewives with vocal nodules, and the control group consisted of 35 housewives who did not have any vocal pathology. The subjects completed questionnaires related to the voice disorder and the Symptom Checklist-90-Revision. OUTCOME MEASURES: The scores of the patient group with less than 1 year of symptom duration (acute) and more than 1 year of symptom duration (chronic) were also compared with those of the controls. RESULTS AND CONCLUSION: The total patient group differed statistically from the control group on seven neurotic dimensions (p < .001) and one psychotic dimension (p < .05). The acute group differed on two neurotic dimensions (p < .05). We suggest that the neurotic traits found in the acute group may play a role in the development of vocal nodules. The dimensions in which the total patient group differed significantly from the control group may indicate the changes that occur in the psychological characteristics following voice change. The collective results indicate that psychological characteristics play an important role in the pathogenesis of vocal nodules. Hence, greater attention should be given to the psychological and emotional aspects of patients for the treatment and prevention of vocal nodules.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".