Endocrine and Metabolic Disorders in Survivors of Childhood Cancers and Health-Related Quality of Life and Physical Activity
Bibliographic record
Abstract
CONTEXT: Childhood cancer survivors experience chronic health conditions that impact health-related quality of life (HRQOL) and participation in optimal physical activity. OBJECTIVE: The study aimed to determine independent effects of endocrine and metabolic disorders on HRQOL and physical activity. DESIGN, SETTING, AND PATIENTS: Retrospective cohort with longitudinal follow-up of survivors of childhood cancer enrolled in the North American Childhood Cancer Survivor Study. MAIN OUTCOME MEASURES: Medical Outcomes Short Form-36 estimated HRQOL, and participation in physical activity was dichotomized as meeting or not meeting recommendations from the Centers for Disease Control and Prevention. Log binomial regression evaluated the association of each endocrine/metabolic disorder with HRQOL scales and physical activity. RESULTS: Of 7287 survivors, with a median age of 32 years (range, 18 to 54 years) at their last follow-up survey, 4884 (67%) reported one or more endocrine/metabolic disorders. Survivors with either disorder were significantly more likely to be male, older, have received radiation treatment, and have experienced other chronic health conditions. After controlling for covariates, survivors with any endocrine/metabolic disorder were more likely to report poor physical function risk ratio (RR, 1.25; 95% CI, 1.05 to 1.48), increased bodily pain (RR, 1.27; 95% CI, 1.12 to 1.44), poor general health (RR, 1.49; 95% CI, 1.32 to 1.68), and lower vitality (RR, 1.21; 95% CI, 1.09 to 1.34) compared with survivors without. The likelihood of meeting recommended physical activity was lower among survivors with growth disorders (RR, 0.90; 95% CI, 0.83 to 0.97), osteoporosis (RR, 0.87; 95% CI, 0.76 to 0.99), and overweight/obesity (RR, 0.92; 95% CI, 0.88 to 0.96). CONCLUSION: Endocrine and metabolic disorders are independently associated with poor HRQOL and suboptimal physical activity among childhood cancer survivors.
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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 | 0.002 |
| 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".