An institutional pilot study to investigate physical activity patterns in boys with haemophilia
Bibliographic record
Abstract
INTRODUCTION: Haemophilia is a bleeding disorder characterized by musculoskeletal bleeding. Trauma-induced bleeding into joints and muscles may be associated with participation in physical activities. Recognizing this, persons with haemophilia may limit physical activities to avoid bleeding. The characterization of physical activity profiles (type, intensity, frequency and duration) in children with differing severities of haemophilia has not been well documented. This is required to better understand the relationship between physical activity and bleeding in children with haemophilia. AIM: This study was a prospective, cross-sectional, observational study to compare the quantity, type and intensity of physical activity as measured by accelerometry in boys with different haemophilia severities. METHODS: Subjects wore an accelerometer daily for 1 week and completed validated self-report PedHAL and 3DPAR questionnaires. Accelerometer activity levels were classified as sedentary, light, moderate or vigorous. RESULTS: A total of 66 males were enrolled, 24 had mild/moderate and 42 had severe haemophilia. Subjects average age was 11.52 years (±3.99) and their average BMI was 20.74 kg m(2) (±5.68). Boys with severe haemophilia reported significantly more time per day spent in sedentary activities compared to those with mild/moderate haemophilia. Furthermore, the amount of time engaged in sedentary activities increased with age in those boys with severe haemophilia, whereas the opposite was true in those with mild/moderate haemophilia. CONCLUSION: We speculate that prophylaxis in children with severe haemophilia permitted them to engage in similar amounts of moderate to vigorous physical activity (MVPA) as children with mild/moderate haemophilia. Increasing sedentary time in the severe cohort with age may be attributed to increasing arthropathy among other psychosocial factors.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".