When sex hurts, anxiety and fear orient attention towards pain
Bibliographic record
Abstract
Hypervigilance for pain-relevant stimuli has been associated with anxiety, fear of pain and anxiety sensitivity. This attentional bias has been primarily investigated in heterogeneous pain groups or pain-free controls, but has not been examined in pain conditions where anxiety and fear are likely to play a central role. Due to the intimate and interpersonal nature of genital pain experienced during sexual intercourse, Vulvar Vestibulitis Syndrome (VVS) constitutes an ideal sample in which to investigate the role of cognitive and affective factors in pain perception and maintenance. Seventeen women suffering from VVS and an equal number of age and education matched control women completed an emotional Stroop and memory recall task in addition to a series of questionnaires assessing pain-hypervigilance, state and trait anxiety, fear of pain, and anxiety sensitivity. VVS sufferers reported hypervigilance for coital pain and also exhibited a selective attentional bias towards pain stimuli on the emotional Stroop task as compared with controls. This effect was predicted by state and trait anxiety and fear of pain. According to these data, treament strategies for VVS should target anxiety and fear in addition to sensory systems.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".