Trial reportBMC public health2025
Investigating between-group effects of a physical activity intervention across the physical activity intensity spectrum using multivariate pattern analysis.
Trial report in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04048967 (Active Learning Norwegian Preschool), which is not on this map. Not yet cited in PubMed.
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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.
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.
Active Learning Norwegian Preschool(er)s
Who cites it
0 citing papers in PubMed.
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundEffects of physical activity (PA) interventions are evaluated in many settings, but novel methods are needed to determine effects of interventions across the PA intensity spectrum. The aim of this study was to test the applicability of multivariate pattern analysis to determine between-group effects of an intervention study across the PA intensity spectrum.
methodsA sample of 698 Norwegian preschool children (mean age 3.8 years) from the Active Learning Norwegian Preschool(er)s cluster randomized controlled trial provided data on PA (ActiGraph GT3X+) before and after short- (7 months) and/or long-term (18 months) follow-ups after a preschool PA intervention. Multivariate pattern analysis and linear mixed models were used to determine effects across the intensity spectrum using PA descriptors of different resolutions (4, 17 and 51 variables).
resultsHigher-resolution PA descriptors led to marginally better model fit than lower-resolution descriptors in multivariate pattern analysis (explained variances 1.27-3.59%). We detected significant standardized mean differences of ± 0.15-0.36, with results for multivariate pattern analysis and linear mixed models being comparable.
conclusionWe discuss applicability of these approaches for analysis of between-group effects on PA. We conclude that multivariate pattern analysis is a suitable analytic approach to evaluate between-group effect patterns across the PA intensity spectrum of intervention studies, but suggest it being a secondary approach for cluster trials given challenges of appropriately taking clustering into account.
trial registrationClinicaltrials.gov, identifier NCT04048967, registered August 7, 2019, ( https://clinicaltrials.gov/ct2/show/NCT04048967?term=actnow&rank=1 ).
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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 Socratic graph.