Abstract

There is solid evidence for an association between physical activity and metabolic health outcomes in children and youth, but for methodological reasons most studies describe the intensity spectrum using only a few summary measures. We aimed to determine the multivariate physical activity intensity signature associated with metabolic health in a large and diverse sample of children and youth, by investigating the association pattern for the entire physical intensity spectrum. We used pooled data from 11 studies and 11,853 participants aged 5.8–18.4 years included in the International Children's Accelerometry Database. We derived 14 accelerometry-derived (ActiGraph) physical activity variables covering the intensity spectrum (from 0–99 to ≥8000 counts per minute). To handle the multicollinearity among these variables, we used multivariate pattern analysis to establish the associations with indices of metabolic health (abdominal fatness, insulin sensitivity, lipid metabolism, blood pressure). A composite metabolic health score was used as the main outcome variable. Associations with the composite metabolic health score were weak for sedentary time and light physical activity, but gradually strengthened with increasing time spent in moderate and vigorous intensities (up to 4000–5000 counts per minute). Association patterns were fairly consistent across sex and age groups, but varied across different metabolic health outcomes. This novel analytic approach suggests that vigorous intensity, rather than less intense activities or sedentary behavior, are related to metabolic health in children and youth.

Highlights

  • There is clear evidence of favorable associations between physical activity (PA) and metabolic health outcomes in children

  • While associations are evident for moderate-to-vigorous PA (MVPA) and vigorous PA (VPA), associations appears to be weak for light PA (LPA) and

  • The aim of the present study was to determine the PA intensity signatures associated with metabolic health outcomes in the International Children's Accelerometry Database (ICAD), which includes a large sample of children aged 6–18 years from culturally diverse settings

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Summary

Introduction

There is clear evidence of favorable associations between physical activity (PA) and metabolic health outcomes in children. Capturing the entire intensity spectrum is important to avoid loss of information and residual confounding (Poitras et al, 2016; Aadland et al, 2018a; van der Ploeg and Hillsdon, 2017). Associations across the entire PA intensity spectrum, including SED, should be examined to obtain a complete picture and to ease interpretations of associations between PA and health outcomes. This aim has traditionally been difficult to address, as researchers mainly have relied on statistical methods that cannot handle multicollinearity among the explanatory variables

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