Trial reportThe international journal of behavioral nutrition and physical activity2019
Multicollinear physical activity accelerometry data and associations to cardiometabolic health: challenges, pitfalls, and potential solutions.
Trial report in The international journal of behavioral nutrition and physical activity, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02132494 (Active Smarter Kids), which is not on this map. Cited by 24 papers, 1 of them a synthesis that pooled it.
What it found
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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 Smarter Kids: A Cluster-randomized Controlled Trial Investigating the Effect of Daily Physical Activity on Children's Academic Performance and on Risk Factors for Lifestyle-related Non-communicable Diseases
Who cites it
24 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pooled it
- Investigating between-group effects of a physical activity intervention across the physical activity intensity spectrum using multivariate pattern analysis.BMC public health · 2025Trial
- Longitudinal associations between preschoolers' 24-h movement behaviors and development of self-regulation, executive function, vocabulary, and numeracy.BMC public health · 2025Trial
- Efficacy of education outside the classroom to increase adolescent physical activity.Scientific reports · 2024Trial
- Article
- Simple step counting captures comparable health information to complex accelerometer measurements.Journal of internal medicine · 2025Article
- Data Analytics in Physical Activity Studies With Accelerometers: Scoping Review.Journal of medical Internet research · 2024Article
- Effects of replacing sedentary time with alterations in physical activity or sleep on mood states in Chinese young adults during the pandemic.BMC public health · 2024Article
- Multivariate pattern analysis: a method and software to reveal, quantify, and visualize predictive association patterns in multicollinear data.BMC bioinformatics · 2024Article
- Accelerometer-measured absolute versus relative physical activity intensity: cross-sectional associations with cardiometabolic health in midlife.BMC public health · 2023Article
- Compositional functional regression and isotemporal substitution analysis: Methods and application in time-use epidemiology.Statistical methods in medical research · 2023Article
- Advancing precision public health for obesity in children.Reviews in endocrine & metabolic disorders · 2023Review
- An approach to assess and adjust for the influence of multicollinear covariates on metabolomics association patterns-applied to a study of the associations between a comprehensive lipoprotein profile and the homeostatic model assessment of insulin resistance.Metabolomics : Official journal of the Metabolomic Society · 2022Article
- The Physical Behaviour Intensity Spectrum and Body Mass Index in School-Aged Youth: A Compositional Analysis of Pooled Individual Participant Data.International journal of environmental research and public health · 2022Article
- GRANADA consensus on analytical approaches to assess associations with accelerometer-determined physical behaviours (physical activity, sedentary behaviour and sleep) in epidemiological studies.British journal of sports medicine · 2022Article
- Physical activity intensity profiles associated with cardiometabolic risk in middle-aged to older men and women.Preventive medicine · 2022Article
- Adolescent time use and mental health: a cross-sectional, compositional analysis in the Millennium Cohort Study.BMJ open · 2021Article
- High-intensity activity is more strongly associated with metabolic health in children compared to sedentary time: a cross-sectional study of the I.Family cohort.The international journal of behavioral nutrition and physical activity · 2021Article
- Cardiometabolic Associations between Physical Activity, Adiposity, and Lipoprotein Subclasses in Prepubertal Norwegian Children.Nutrients · 2021Article
- Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe analysis of associations between accelerometer-derived physical activity (PA) intensities and cardiometabolic health is a major challenge due to multicollinearity between the explanatory variables. This challenge has facilitated the application of different analytic approaches within the field. The aim of the present study was to compare association patterns of PA intensities with cardiometabolic health in children obtained from multiple linear regression, compositional data analysis, and multivariate pattern analysis.
methodsA sample of 841 children (age 10.2 ± 0.3 years; BMI 18.0 ± 3.0; 50% boys) provided valid accelerometry and cardiometabolic health data. Accelerometry (ActiGraph GT3X+) data were characterized into traditional (four PA intensity variables) and more detailed categories (23 PA intensity variables covering the intensity spectrum; 0-99 to ≥10,000 counts per minute). Several indices of cardiometabolic health were used to create a composite cardiometabolic health score. Multiple linear regression and multivariate pattern analyses were used to analyze both raw and compositional data.
resultsBesides a consistent negative (favorable) association between vigorous PA and the cardiometabolic health measure using the traditional description of PA data, associations between PA intensities and cardiometabolic health differed substantially depending on the analytic approaches used. Multiple linear regression lead to instable and spurious associations, while compositional data analysis showed distorted association patterns. Multivariate pattern analysis appeared to handle the raw PA data correctly, leading to more plausible interpretations of the associations between PA intensities and cardiometabolic health.
conclusionsFuture studies should consider multivariate pattern analysis without any transformation of PA data when examining relationships between PA intensity patterns and health outcomes.
trial registrationThe study was registered in Clinicaltrials.gov 7th of April 2014 with identification number NCT02132494 .
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