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In-Silico Approaches in Sports Epidemiology and their Contribution to the Research on Prevention through Physical Activity in Childhood; [In-silico-Ansätze in der Sportepidemiologie und ihr Beitrag zur Forschung über Prävention durch körperliche Aktivität im Kindesalter]

Niessner, Claudia ORCID iD icon 1; Beigel, Michael 2; Hoffmann, Milan; Wunsch, Kathrin 1
1 Institut für Sport und Sportwissenschaft (IfSS), Karlsruher Institut für Technologie (KIT)
2 Institut für Telematik (TM), Karlsruher Institut für Technologie (KIT)

Abstract:

› Introduction: Physical inactivity in childhood is a global public health concern. Traditional epidemiological approaches often fail to capture the complex interplay of behavioral, environmental, and social determinants. In-silico methods—computational modeling and simulations—offer a promising alternative to analyze and predict physical activity (PA) behaviors and intervention effects in youth populations.
› Methods: This Rapid Review applied a systematic search strategy in Scopus and PubMed to identify peer-reviewed studies (published until May 2025) employing in-silico approaches in the context of physical activity promotion among children and adolescents. Screening and data extraction followed a structured eight-step framework aligned with Cochrane Rapid Review guidelines. Eligible studies included
modeling techniques such as agent-based models (ABM), system dynamics models (SDM), and microsimulations.
› Results: Out of 59 initial records, 24 studies met all inclusion criteria. Most studies applied ABM or SDM to simulate physical activity outcomes under varying policy or environmental conditions. Common themes included school-based interventions, spatial layout impacts, and peer network influences. ... mehr


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Originalveröffentlichung
DOI: 10.5960/dzsm.2025.632
Scopus
Zitationen: 1
Dimensions
Zitationen: 1
Zugehörige Institution(en) am KIT Institut für Sport und Sportwissenschaft (IfSS)
Institut für Telematik (TM)
Publikationstyp Zeitschriftenaufsatz
Publikationsdatum 20.06.2025
Sprache Englisch
Identifikator ISSN: 0344-5925, 2510-5264, 2627-2458
KITopen-ID: 1000184279
Erschienen in Deutsche Zeitschrift fur Sportmedizin
Verlag Dynamic Media Sales Verlag
Band 76
Heft 4
Seiten 133 – 139
Nachgewiesen in Dimensions
OpenAlex
Scopus
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