Dance Intervention for Mexican Family Caregivers of Children With Developmental Disability: A Pilot Study
Bibliographic record
Abstract
Introduction: There are 7.1 million people living with a disability in Mexico. Of these individuals, 7% are children and adolescents with developmental disabilities. Mexican women caring for children with a developmental disability are at risk of psychological stress, which may be prevented with physical activity such as dance. Therefore, the purpose of this pilot study was to examine (a) the feasibility of implementing the dance intervention, (b) the mothers’ satisfaction with the intervention, and (c) the changes in stress level experienced by the mothers on completion of the intervention. Method: A one-group pretest–posttest design was used. The Salsa dance intervention was given in nine 60-minute sessions, twice a week in Veracruz, Mexico. The sample included 14 mothers of children with disabilities. The outcome, stress level, was measured with the validated Questionnaire of Perceived Stress. Feasibility of intervention implementation was maintained by having the interventionist follow the interventionist manual. Satisfaction was assessed by the Satisfaction with Therapy and Therapist Scale. Results: The intervention was feasible as all participants completed the intervention sessions. They reported high satisfaction (100%) with the intervention and interventionist. At posttest, participants showed reduced stress levels ( p = .028). Discussion: The dance intervention is promising in reducing women’s stress levels and worth further development in order to benefit the Mexican women caring for children with developmental disability and experiencing stress. Nurses can implement the Salsa dance intervention with the Mexican population while improving the clients’ retention, outcomes, and overall satisfaction.
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".