Impact of Abuse on Adjustment and Chronic Pain Disability
Bibliographic record
Abstract
INTRODUCTION/AIM: Sexual abuse, state and trait psychosocial factors, pain intensity, and pain-related disability have been shown to be correlated among individuals with chronic pain. However, the interacting relationships among these factors are poorly understood. The current study aims to test model which examines the effect of abuse, state and trait psychosocial factors, and pain intensity on pain-related disability among individuals with chronic pain. METHODS: In total, 229 participants diagnosed with chronic pain were recruited from a specialist chronic pain hospital in London, Ontario. Participants completed self-report measures related to sexual abuse history, pain intensity, personality (anxiety sensitivity, experiential avoidance, perfectionism), and adjustment (depression, anxiety, disability, maladaptive worrying). A path analysis was used to test the relationship among these variables. RESULTS: The model provided a close fit to the data (χ21=17.02; P=0.71; root-mean-square error of approximation=0.00; normal fit index=0.97; comparative fit index=1.0). The model demonstrates the direct and indirect effects of childhood sexual abuse on state and trait psychosocial factors among individuals with chronic pain. Pain anxiety, maladaptive worrying, and pain intensity were the main determinants of pain-related disability. DISCUSSION/CONCLUSIONS: The current model has important implications in understanding the interplay of factors involved in adjustment of individuals with chronic pain. Sexual abuse did not have a direct effect on pain-related disability. However, indirect effects through other psychosocial factors were demonstrated.
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Observational | low |
| gpt | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Observational | low |
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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.006 | 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, unvalidatedLabeled directly by 2 models reading the full record.
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".