Families of Young Pediatric Cancer Survivors: A Cross-Sectional Survey Examining Physical Activity Behavior and Health-Related Quality of Life
Bibliographic record
Abstract
The present study examined physical activity levels within young families of pediatric cancer survivors and the relationship between physical activity and health-related quality of life (HRQL). Nineteen families were recruited, including 33 parents, 17 pediatric cancer survivors, and 10 siblings. Families completed a self-report survey on background information, physical activity levels, and PedsQL generic core scale for child HRQL. Results of this cross-sectional study indicate that families were generally active, with mothers more frequently participating in overall physical activity (P < .001). Within families, parent-child physical activity levels were associated, but not survivor-sibling physical activity. Survivors and siblings did not differ in their self-reported physical activity levels or HRQL, and no association was observed between physical activity and HRQL. However, discrepancies between sibling self-report and parent proxy-reported HRQL were notable. Overall, results from this exploratory pilot work will assist in further research into physical activity behaviors and HRQL in families of pediatric cancer survivors.The nurse should consider the varied experiences of family members, particularly those of siblings, through long-term follow-up.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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".