Abstract 14231: Balancing Exercise Risk With Cardiovascular Health in Pediatric Hypertrophic Cardiomyopathy
Bibliographic record
Abstract
Introduction: Physical activity is vital to long-term cardiovascular health. However, patients with hypertrophic cardiomyopathy (HCM) are often advised to avoid strenuous physical activity due to the risk of sudden cardiac death. Objective: Given activity restrictions and recommendations for patients with HCM, our objective was to explore children and parents’ perceptions of a heart healthy lifestyle. Methods: Children with HCM and their parents were purposefully recruited at two Canadian sites for participation in a photovoice project. Participants (children and parents) were given a camera and asked to take pictures of everyday heart healthy or unhealthy choices. Photos were discussed during one-on-one qualitative interviews with children and parents separately to understand the photos meaning and significance. Inductive descriptive thematic analysis was used. Results: Thirteen child/parent pairs participated. Children (median 15.9 yrs old (range: 13.6-17.7), median BMI 28.5kg/m 2 (range: 17.8-36.7)) were mostly male (62%). Parents were all female. Most children were activity restricted (n=12). Participants took photos to represent being physically active, the majority being non-competitive activities. Specifically, they emphasized the importance of regular activity to support physical, emotional and heart health. While physical activity was identified as a healthy choice, participants learned from the cardiologist that certain activities were too risky to participate in. Despite these restrictions, children engaged in other types of activity and were supported by their parents and cardiologist. Two categories (self-limiting and finding the right sport) explained strategies children used to engage in physical activity in heart healthy ways. One child stated, “I think it got easier [over the years] because now I know my limits, and I know what I can and can’t do”. Conclusions: Children with HCM and their parents want to be physically active and sought guidance from the cardiologist. These data demonstrated how children with HCM used self-awareness to make heart healthy decisions about physical activity. This study supports the need for patient-centered, individualized physical activity counselling for patients with HCM.
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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 | 0.002 | 0.003 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".