The mediating role of disgust sensitivity and thought‐action fusion between religiosity and obsessive compulsive symptoms
Bibliographic record
Abstract
Psychological theories of obsessions and compulsions have long recognised that strict religious codes and moral standards might promote thought-action fusion (TAF) appraisals. These appraisals have been implicated in the transformation of normally occurring intrusions into clinically distressing obsessions. Furthermore, increased disgust sensitivity has also been reported to be associated with obsessive compulsive (OC) symptoms. No research, however, has investigated the mediating roles of TAF and disgust sensitivity between religiosity and OC symptoms. This study was composed of 244 undergraduate students who completed measures of OC symptoms, TAF, disgust sensitivity, religiosity and negative effect. Analyses revealed that the relationship between religiosity and OC symptoms was mediated by TAF and disgust sensitivity. More importantly, the mediating role of TAF was not different across OC symptom subtypes, whereas the mediating role of disgust sensitivity showed different patterns across OC symptom subtypes. These findings indicate that the tendency for highly religious Muslims to experience greater OC symptoms is related to their heightened beliefs about disgust sensitivity and the importance of thoughts.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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 | 0.000 |
| 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".