Examining Biopsychosocial Factors in Relation to Multiple Pain Features in Pediatric Sickle Cell Disease
Bibliographic record
Abstract
OBJECTIVE: To examine biopsychosocial variables in relation to multiple pain features in pediatric sickle cell disease (SCD). METHODS: 76 children with SCD (M = 14.05, SD = 3.26), ages 8-19 years, and 70 caregivers completed measures of coping, mood, and family functioning and reported on multiple pain features via retrospective interviews during routine hematological visits. Sickle cell genotype and health care utilization were collected via medical record review. Using hierarchical regression, biological (genotype), child psychological (coping and mood), and social factors (caregiver coping and family functioning) were evaluated in relation to multiple pain features. RESULTS: Genotype was associated with pain intensity, and child psychological factors were associated with pain frequency. Multiple biopsychosocial factors were related to health care utilization. CONCLUSIONS: Biopsychosocial factors may have distinct relationships with pain features in pediatric SCD. Understanding these relationships may refine the biopsychosocial model and inform integrated medical and psychosocial approaches in SCD.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".