Conference Agenda
Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).
|
Daily Overview |
| Session | |
|
GR1_3_2: Abstract presentation: Promoting Physical Activity in Children and Adolescents: From Evidence to Action Location: Glass room 1 Session Chair: Jan Seghers | |
    | |
11:45am - 11:55am
Intraindividual correlates and determinants of active travel: a meta-analysis with over 2 million children and adolescents 1: Technical University of Munich, Germany; 2: Technical University of Munich, Germany; 3: Eberhard-Karls-Universität Tübingen, Germany; 4: University of Bayreuth, Germany; 5: Ostschweizer Fachhochschule, Switzerland Introduction: Despite the well-documented benefits of active travel for both individual health and the environment, prevalence rates remain moderate (47-53%). Previous reviews have predominantly focused on social and environmental determinants of active travel. This review aimed to synthesize and compare intraindividual correlates and determinants of active travel among children and adolescents. Methods: Following PRISMA 2020 guidelines and registered in PROSPERO (CRD42024604211), a systematic literature search was conducted across Scopus, Web of Science, PubMed, EBSCOhost, and TRID. We identified associative studies examining intra-individual influences on active travel in childhood (≤18y). Methodological quality was assessed using the JBI Checklist for Cross-Sectional Studies. A hierarchical category system was developed to classify variables into four primary domains: physical, cognitive, affective, and social capabilities. Data were synthesized using multi-level random-effects meta-analysis. Results: From 6,866 identified records, 114 studies (published 2003-2024) were included in the meta-analysis. The majority targeted adolescents (n=69) and children (n=55), with two involving preschoolers. Results revealed substantial associations for both affective (N=43,762; rpool=.127; p<.001) and cognitive factors (N = 33,846; rpool = .131; p<.001) with active travel. Conversely, physical (N=2,087,765; rpool=.035; p=.011), sociodemographic (N= 1,005,694; rpool=.029; p=.003), and social factors (N=11,577; rpool=.035; p=.403) showed little-to-no relationship with active travel. Despite high heterogeneity (84.4%<I²<99.6%), findings were robust against publication bias and outliers. Conclusions: The meta-analysis delivers a nuanced insight into the personal factors ‘driving’ active travel. These findings establish a solid foundation for identifying intervention components to effectively promote active travel among youth. Support/Funding Source: None | |
