Anxiety sensitivity as a predictor of labor pain
Bibliographic record
Abstract
Psychosocial factors have been implicated in the pain experience during childbirth, which can have both short- and long-term consequences on the mother's health and her relationship with her infant. The present study evaluated important demographic, social, and psychological factors as predictors of multiple dimensions of labor pain among 35 mothers during childbirth. The results indicated that anxiety sensitivity (AS), as measured by the Anxiety Sensitivity Index, shared a significant relation with maximum pain during labor as well as sensory and affective components of pain as measured by the McGill Pain Questionnaire. AS predicted both maximum pain during labor and sensory aspects of pain above and beyond demographic and social factors as well as other theoretically important psychological factors (e.g., depression and state anxiety). These data replicate previous research that has demonstrated the significant impact of AS on pain responding in other areas (e.g., chronic pain) and extend knowledge in this literature to demonstrate the important role that AS serves among women and their experience of labor pain. Clinical implications are highlighted and discussed.
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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 | 0.004 |
| 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) | 0.001 | 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".