Skill and participation enhancement in attention deficit hyperactivity disorder through equine therapy using ASTride protocol
Bibliographic record
Abstract
AIMS: This study evaluated the effectiveness of the Attention Skill Training (ASTride) protocol-an Equine-Assisted Occupational Therapy (EAOT) intervention-in improving participation, performance skills, and daily function among children with Attention Deficit Hyperactivity Disorder (ADHD). METHODS: A prospective cohort study with an Interrupted Time-Series design was conducted with 50 children (mean age = 9.51 years, Standard Deviation = 1.52) diagnosed with ADHD. Assessments were conducted at baseline (Time 1), pre-intervention (Time 2), post-intervention (Time 3), and three-month follow-up (Time 4). Measures included the Child Performance Skill Questionnaire, Child Participation Questionnaire (CPQ), and the Canadian Occupational Performance Measure (COPM). RESULTS: Using a repeated measure ANOVA revealed statistically significant improvements from Time 1 to Time 4 in everyday participation as presented in the CPQ scales of frequency, independence, enjoyment, and parental satisfaction alongside notable gains in motor, process, and communication skills. COPM scores demonstrated sustained progress in performance and satisfaction with the intervention goals. CONCLUSIONS: The ASTride intervention effectively enhanced participation in everyday activities and performance skills among children with ADHD, with benefits sustained beyond the intervention period and beyond the stable setting. These findings highlight ASTride's potential as a comprehensive, evidence-based approach to addressing ADHD-related challenges.
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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 | 0.005 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 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".