The Impact of Physical Activity on the Health of Young Adult Survivors of Childhood Cancer: An Exploratory Analysis
Bibliographic record
Abstract
Purpose: Physical activity (PA) habits of young adult survivors of childhood cancer (SCC) have not been well-characterized, and it is unclear whether PA has a relationship with the health status of young adult SCC. The objective of this study was to determine PA participation of young adult SCC and examine associations between PA participation and late adverse effects of treatment. Methods: A retrospective chart review, including SCC enrolled in the McMaster AfterCare program, was performed. Patient characteristics, health outcomes, and PA information were abstracted. Multivariable logistic regression models were used to examine associations in this exploratory analysis. Results: We identified 253 young adult SCC, 240 of whom had sufficient information on PA participation to determine a Leisure Score Index (LSI). Of these, 45% reported adequate PA (LSI ≥24) and 26% reported no PA (LSI = 0). Significant associations between PA and bone mineral density (p = 0.03), blood pressure (p = 0.04), triglycerides (p = 0.05), and high-density lipoprotein cholesterol (p < 0.01) were demonstrated. Conclusions: The majority of young adult SCC in this cohort reported inadequate PA, despite ongoing healthy active living counseling. We identified associations between PA and bone mineral density as well as lipid profile in this group, which suggest that PA may mitigate risk of sequelae of cancer treatment. Strategies to improve young adult SCC engagement in PA are required.
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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 | 0.001 |
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".