The Effects of Gymnastics Training Combined With Music in Children with Autism Spectrum Disorder and Down Syndrome
Bibliographic record
Abstract
The aim of this study was to evaluate the effects of gymnastics training combined with music on balance, loco-motor level and coordination in children with autism spectrum disorder (ASD) and down syndrome (DS). This randomized, controlled experimental trial included 30 children (15 children with DS, 15 children with ASD) aged 8 to 14 years. The children were separated into 2 groups, as Group 1 in which ASD and Group 2 in which DS treated gymnastics training with music for 16 weeks, 2 days a week, 1.5-2 hours. Flamingo balance test, functional reach test, Wall Catch coordination test and flexibility test were used to evaluate balance, dynamic balance, loco-motor level and coordination, flexibility, respectively. All groups were evaluated before training and at the end of 16 weeks. When the pre-training and post-training parameters were compared between the groups, a increase was determined in the parameters of balance, loco-motor level and coordination, flexibility in Group1. This increase was statistically greater in Group 1. Statistically significant difference was determined in Group 2 with respect to functional reach test, sit and reach test values. No statistically significant difference was determined in Group 2 in respect of Flamingo and Wall Catch coordination tests. As a result; gymnastics training combined with music were found to be effective in increase balance score, improving loco-motor level, coordination, flexibility in children with DS and ASD. The results of this study can be considered to provide important contributions to the understanding and treatment of children with autism and down syndrome.
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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) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".