Cumulative genetic effects of HPA axis on social phobia scrutiny fear: psychoticism and social face as mediators
Bibliographic record
Abstract
BACKGROUND: Social phobia scrutiny fear is a stress response triggered by perceptions of social evaluation. However, the role of genetic polymorphisms in the Hypothalamic Pituitary Adrenal (HPA) axis in shaping this fear is not well understood. This study investigates how the cumulative genetic score of the HPA axis influences social phobia scrutiny fear. METHOD: Two independent samples were used. The first examined the relationship between the cumulative genetic effects of the HPA axis and social phobia scrutiny fear. The second sample replicated these findings and explored the mediating roles of psychoticism and social face. RESULTS: Both samples revealed that individuals with a higher cumulative genetic score, associated with increased cortisol reactivity, experienced greater social phobia scrutiny fear. Moreover, psychoticism and social face mediated this relationship, with a stronger genetic predisposition, higher psychoticism, and more pronounced social face correlating with greater scrutiny fear. CONCLUSION: These findings highlight the significant role of the HPA axis in social phobia scrutiny fear and shed light on the psychological pathways through which genetic effects are influenced by personality traits.
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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 | 0.000 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".