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Updated: Jan 10, 2026
Visualization of Intensity Levels to Reduce the Gap Between Self-Reported and Directly Measured Physical Activity
Published on: March 7, 2019
Investigating between-group effects of a physical activity intervention across the physical activity intensity
Eivind Aadland1, Olav Martin Kvalheim2, Elisabeth Straume Haugland3
1Faculty of Education, Arts and Sports, Department of Sport, Food and Natural Sciences, Western Norway University of Applied Sciences, Campus Sogndal, Box 133, Sogndal, 6851, Norway. eivind.aadland@hvl.no.
Background:
Effects 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.
Methods:
A 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).
Results:
Higher-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.
Conclusion:
We 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 Registration:
Clinicaltrials.gov, identifier NCT04048967, registered August 7, 2019, ( https://clinicaltrials.gov/ct2/show/NCT04048967?term=actnow&rank=1 ).
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