The impact of physical activity modification on the well-being of a cohort of children with an inherited arrhythmia or cardiomyopathy
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: We evaluated a cohort of 35 children diagnosed with long QT syndrome, catecholaminergic polymorphic ventricular tachycardia, hypertrophic cardiomyopathy, or arrhythmogenic right ventricular cardiomyopathy with regard to physical and psychosocial well-being. MATERIAL AND METHODS: Patients wore an accelerometer to record their time involved in moderate- to vigorous-intensity physical activity and completed the Pediatric Quality of Life Inventory and the Pediatric Cardiac Quality of Life Inventory. Parents were also asked to describe if their child had changed their physical activity because of their diagnosis and how difficult and upsetting it was for the child to adapt to the physical activity recommendations. RESULTS: Patients were involved in less moderate- to vigorous-intensity physical activity per day (35 min/day versus 55 min/day) and had lower Pediatric Quality of Life Inventory total health scores (79 versus 84) compared to normative data. Overall, 51% of the cohort modified their physical activity in some way because of their diagnosis and changing physical activity was associated with lower Pediatric Quality of Life Inventory and Pediatric Cardiac Quality of Life Inventory scores. CONCLUSION: Our cohort was involved in less moderate- to vigorous-intensity physical activity and had lower Pediatric Quality of Life Inventory total health scores compared to normative paediatric data. Modifying one's physical activity was associated with worse health-related quality of life scores, highlighting a vulnerable sub-group of children. These findings are useful for families and healthcare professionals caring for children who are adjusting to a new cardiac diagnosis of an inherited arrhythmia or cardiomyopathy.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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 it