Developmental Differences in Psychological Adjustment and Health-Related Quality of Life in Pediatric Cancer Patients
Bibliographic record
Abstract
The aims of this study were to investigate: (a) age differences in psychological adjustment (PA) and health-related quality of life (HRQOL) in pediatric cancer patients, and (b) identify predictors of PA and HRQOL. The sample included preschool, school age, and adolescent patients. Data were obtained at 3 (n = 69), 9 (n = 47), and 15 (n = 44) months after diagnosis, using standardized measures completed by the mother. Measures assessed the children's psychological adjustment (PA), health-related quality of life (HRQOL), temperament and maternal psychological adjustment. Age at diagnosis significantly affected both PA and HRQOL. At 3 months post-diagnosis, preschoolers had more externalizing behavior problems than did adolescents. Preschoolers had better HRQOL than adolescents at all 3 assessments. Maternal adjustment and child's temperament scores were the best predictors of PA; age was the best predictor of HRQOL. The results of this study suggest that preschoolers with cancer are at risk for behavior problems and adolescents are at risk for poor HRQOL. The results also highlight the importance of multi-factor models in predicting children's PA and HRQOL.
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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 | 0.003 |
| 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 | 0.000 |
| 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".