Investigation of the Moderating Role of Perceived Vulnerability to Infectious Diseases Regarding the Relationship between Disgust and Fear of Contamination
Bibliographic record
Abstract
Background and Objective: Several studies revealed that disgust as an emotional response underlies the contamination fears in Contamination Obsessive Compulsive Disorder (OCD).Other studies supported the role of cognitions related to contagion and disease in contamination OCD.The present study aimed to integrate these two lines of evidence.To this end, regarding the concept of the behavioral immune system, it was investigated whether perceived vulnerability to infectious disease, as a cognitive component of the behavioral immune system, can moderate the relation between disgust, as the emotional component of this system, and symptoms of contamination OCD. Materials and Methods:This cross-sectional study was conducted on 350 university students in Tehran University through cluster random sampling.The participants were asked to complete the Persian version of the disgust scale, perceived vulnerability to disease questionnaire, and Vancouver contamination subscale.The data were analyzed utilizing hierarchical regression analysis and post hoc tests. Results:The results revealed that perceived vulnerability to infectious disease moderated the relationship between the feeling of disgust and fear of contamination.According to the results, perceived infectability subscale which measures perceived weakness of one's immune system with more accuracy, can also exacerbate the relationship between the feeling of disgust and fear of contamination.Conclusion: The results of this study facilitate the understanding of the effect of disgust on fear of contamination, especially the role of cognitions about contagion and disease in potentiating the relation between disgust and contamination OCD.Moreover the obtained results generally provide evidence for the disease-avoidance theory in disgust and support the possible hyperactivity of the behavioral immune system in contamination OCD.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".