Physical activity participation and bleeding characteristics in young patients with severe haemophilia
Bibliographic record
Abstract
Patients with haemophilia are now widely advised to participate in sport activities. However, no extensive data are available about their actual participation. The aim of this study was to describe the type; intensity and duration of leisure time physical activity (PA) among young patients with severe hemophilia and to assess whether there are differences in bleeding profile and muscle strength in related to activity intensity. Forty-four boys (ages 12-25 years) with severe haemophilia were studied. PA was assessed by the Godin and Shephard (G&S) questionnaire. Bleeding profile was determined based on a one month diary filled by each patient. Muscle strength of the lower limbs muscles was assessed using a hand held dynamometer. Only three subjects did not perform any PA. Twenty-five of the participants performed strenuous PA at least once a week. An inverse, moderate association (r(p) =-0.45, P < 0.002) was found between the G&S score and age. There were no significant differences in bleeding frequency or pain but a significant difference in the cause of bleed was found: those who exercised strenuously showed a higher proportion of bleeds due to traumatic reasons (P < 0.01). No differences in muscle strength values were noted in related to activity intensity also no linear association was noted between muscle strength and bleeding profile. Further investigation, including prospective studies, is needed in order to assess the temporal sequencing between training and the occurrence of bleeds and bleeds cause.
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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 | 0.001 |
| 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) | 0.002 | 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".