Evidence map›Paper›PMID 42116062›Full record

ArticleBMC public health2026

Criterion validity of a self-reported web-based data collection tool to measure daily school travel in middle school children.

Mathias Andersson, Elena Tseli, Anna-Karin Lindqvist, Annie Palstam

Abstract readValidation Study
In one paragraph

Article in BMC public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Mathias AnderssonDepartment of Medical Sciences, School of Health and Welfare, Dalarna University, Falun, Sweden. maae@du.se.
Elena TseliDepartment of Medical Sciences, School of Health and Welfare, Dalarna University, Falun, Sweden.
Anna-Karin LindqvistDepartment of Health, Education and Technology, Luleå University of Technology, Luleå, Sweden.
Annie PalstamDepartment of Medical Sciences, School of Health and Welfare, Dalarna University, Falun, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundVarious 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.

methodsThirty 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.

resultThe web-based data collection tool demonstrated 100% agreement between self-reported and observed travel modes, with high correlations for commuting time and distance (r

conclusionThe 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.

Indexed as

Data CollectionInternetSchoolsSelf ReportTransportationChildFemaleHumansMaleReproducibility of ResultsSwedenActive school transportCommutingMeasurement methodsPhysical activityTransportation

Identifiers

PMID42116062
PMCPMC13159230

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.