Physical Activity Interventions to Reduce Metabolic Risk Factors to Cognitive Health

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Darla Castelli University of Texas at Austin, Austin, TX, USA

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https://orcid.org/0000-0002-8862-578X *
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Christine Julien University of Texas at Austin, Austin, TX, USA

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https://orcid.org/0000-0002-4131-4642
DOI:
https://doi.org/10.1123/kr.2022-0037
Keywords:
implementation science; intervention design; data science; schools
First Published Online:
14 Jan 2023
In Print:
Volume 12: Issue 1
Page Range:
58–65
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Physical activity is a health-protective factor that can reduce disease risk in later life. Designing interventions that increase physical activity participation are paramount but need to increase potency and reduce the time to effectiveness. This paper aims to outline one transdisciplinary, team science effort to increase behavioral intervention potency through the integration of the autonomous cognition model whereby data guide each decision in developing a school-based physical activity intervention. Examples of data collected by stage and a summary of potential action steps are provided.

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