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Creating evidence-based research in adapted physical activity.

Greg Reid¹, Marcel Bouffard, Catherine MacDonald

¹Department of Kinesiology and Physical Education, McGill University, Montreal, Quebec, Canada.

Adapted Physical Activity Quarterly : APAQ

|April 3, 2012

Summary

This paper outlines five core beliefs and an 8-step model for evidence-based practice in adapted physical activity. These principles enhance research rigor and guide effective interventions for diverse populations.

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Area of Science:

Adapted physical activity
Evidence-based practice
Research methodology

Background:

Professional practice increasingly relies on research evidence, termed evidence-based practice.
Adapted physical activity (APA) requires a structured approach to ensure evidence-based interventions.
Existing research models may not fully capture the complexities of APA.

Purpose of the Study:

To describe five fundamental beliefs crucial for adapted physical activity practices.
To present an 8-step research model for creating evidence-based research in APA.
To integrate these beliefs and the model for enhanced APA research.

Main Methods:

The study identifies five core beliefs: individualization, critical thinking, self-determination, program effectiveness, and multifactor complexity.

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An 8-step research model is detailed, encompassing problem conceptualization to intervention adoption.

The model's application is illustrated using two research programs with randomized control group designs.

Main Results:

The five beliefs provide a foundational framework for rigorous APA research.
The 8-step model offers a systematic pathway for developing and evaluating APA interventions.
The integration of beliefs and model enhances the quality and applicability of APA research.

Conclusions:

Adopting the five beliefs and the 8-step model can significantly advance evidence-based practice in adapted physical activity.
This framework supports the development of more effective, individualized, and sustainable APA interventions.
Further research utilizing this model is recommended to validate its effectiveness across various contexts.