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Criterion validity of a self-reported web-based data collection tool to measure daily school travel in middle school children
Dalarna University, School of Health and Welfare, Care Sciences. Dalarna University, School of Health and Welfare, Medical Science.ORCID iD: 0000-0003-4409-9690
Dalarna University, School of Health and Welfare, Physiotherapy. Department of Neurobiology, Care Sciences and Society, Division of Physiotherapy, Karolinska Institutet, Huddinge.ORCID iD: 0000-0002-8307-259x
Department of Health, Education and Technology, Luleå University of Technology, Luleå.
Dalarna University, School of Health and Welfare, Physiotherapy. Sahlgrenska Academy, Institute of Neuroscience and Physiology, Department of Clinical Neuroscience, University of Gothenburg, Gothenburg; Department of Occupational Therapy and Physiotherapy, Sahlgrenska University Hospital, Gothenburg.ORCID iD: 0000-0002-7127-213x
2026 (English)In: BMC Public Health, E-ISSN 1471-2458, Vol. 26, no 1, article id 1517Article in journal (Refereed) Published
Abstract [en]

Background Various interventions have been developed with the intention to increase the amount of physical activity among children, including those promoting active school travel (AST). However, no gold standard currently exists for measuring different travel modes in AST. This study evaluates the criterion validity of a web-based data collection tool designed for children to self-report their school travel.

Purpose To assess the criterion validity of a web-based data collection tool for daily self-registration of commuting mode, time, and distance among middle school children in Sweden.

Methods Thirty children (10–12 years old) from six schools in Falun, Sweden, were recruited using snowball sampling. The children self-reported their school travel data for one day, including travel mode, commuting time, and distance. Their reports were compared to a criterion standard based on direct observations. Spearman correlation and the Wilcoxon signed-rank test were used to analyze the accuracy of the self-reported data.

Result The web-based data collection tool demonstrated 100% agreement between self-reported and observed travel modes, with high correlations for commuting time and distance (rs=0.953–0.989, p < 0.001). The Wilcoxon signed rank test showed no significant differences between self-reported data and criterion standard (p = 0.243–0.903).

Conclusion The strong agreement between self-reported and observed travel data indicates high criterion validity, suggesting that the web-based data collection tool is a reliable method for middle school children to self-report their daily school travel.

Place, publisher, year, edition, pages
2026. Vol. 26, no 1, article id 1517
Keywords [en]
Active school transport, Commuting, Transportation, Physical activity, Measurement methods
National Category
Health Sciences Pedagogy
Identifiers
URN: urn:nbn:se:du-53700DOI: 10.1186/s12889-026-27628-2ISI: 001762982900001PubMedID: 42116062Scopus ID: 2-s2.0-105038385843OAI: oai:DiVA.org:du-53700DiVA, id: diva2:2062004
Available from: 2026-05-25 Created: 2026-05-25 Last updated: 2026-05-27Bibliographically approved

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Andersson, MathiasTseli, ElenaPalstam, Annie

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