Self‐reported physical activity and lack of association with health‐related quality of life in a pediatric solid‐organ transplant population
Bibliographic record
Abstract
BACKGROUND: Physical activity (PA) has been shown to have benefits, including improving health-related quality of life (HRQOL). However, there are few and conflicting studies assessing PA and its relationship with HRQOL in a pediatric solid-organ transplant (SOT) population. The aim of this study was to assess whether overall HRQOL was associated with PA and to determine whether that association was independent of other baseline and contemporaneous clinical and demographic indicators. METHODS: A retrospective cross-sectional review was performed on 55 pediatric transplant patients (13 heart, 27 kidney, and 15 liver transplant). PA was measured by PAQ-C/PAQ-A, and HRQOL was measured using PedsQL. Demographics, baseline, and contemporaneous data were collected. RESULTS: There were no significant differences in baseline and contemporaneous characteristics between heart, kidney, and liver transplant recipients. SOT recipients were 15.0 (11.0-18.0) years old at completion of surveys. Median PAQ score was 2.3 (1.6-3.2), PedsQL total score was 77 (65-91), and PedsQL physical functioning score was 88 (72-97). The PedsQL total score was not significantly associated with PAQ score. The PAQ score was significantly associated with physical functioning subscore of the PedsQL (r = 0.37, p < 0.01). Higher physical functioning score was associated with time since transplant (r = 0.29, p = 0.031). CONCLUSION: Our SOT cohort has a HRQOL similar to other chronic conditions and higher than previous reported HRQOL in pediatric SOT populations. Higher levels of PA and longer time since transplant are associated with higher physical functioning scores.
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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 | 0.003 |
| 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 | 0.001 | 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".