Effects Of Training On Muscular And Functional Capacity With Myotonic Dystrophy Type 1 Patients. .
Bibliographic record
Abstract
PURPOSE: The effects of physical training among patients affected by myotonic dystrophy type 1 (DM1) are poorly understood. Only a handful of studies had focused on the effects of resistance and/or aerobic training. However, none have used a periodized training program which included strength, power, aerobic and functional capacity training in the same plan. To assess the impact of various training on the improvement of muscular and functional capacity in DM1 patients and to evaluate the potential transfer from strength to functional capacity METHODS: A total of 4 women and 5 men (47.6 ± 4.9 y) with diagnosis of the common form of DM1, have been trained for two months, twice/week (90 minutes per training session). The program consisted primarily of muscle maximal strength exercises (3 apparels for the upper limbs and 3 apparels for the lower limbs) during the first 4 weeks, followed by an emphasis of muscle power, walking exercise (aerobic) and functional exercises for the last 4 weeks. RESULTS: After 8 weeks, most of the physical variables trained showed an improvement. The enhancement of the maximum strength of the lower limb varied from 7% to 17% (SD: 8%-28%) and for the upper limbs, from 9% to 38% (SD: 23%-36%). For the functional variables of the upper limbs, the improvement was 6% to 11% (SD: 18%-24%) and for the lower limbs, 6% to 29% (SD: 13%-28%). Based on our results, the muscle groups of the upper limbs appear to respond better to training than the lower limbs, regardless of the physical quality trained. Even simple reaction time has improved (5.5% ±4%). On the other hand, none of the control variables showed improvement. CONCLUSION: An 8-weeks training program was sufficient to elicit muscle and functional adaptations in patients with DM1. However, transfer from muscular strength gain to functional capacity is limited. The control variables showed that the untrained variables deteriorate in 8 weeks without targeted training. This model of training needs to be improved and tested with a more important number of participants.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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) | 0.002 | 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".