Journal article

Activity Accumulation and Cardiometabolic Risk in Youth: A Latent Profile Approach

Simone JJM Verswijveren, Karen E Lamb, Rebecca M Leech, Jo Salmon, Anna Timperio, Rohan M Telford, Melitta A Mcnarry, Kelly A Mackintosh, Robin M Daly, David W Dunstan, Clare Hume, Ester Cerin, Lisa S Olive, Nicola D Ridgers

Medicine & Science in Sports & Exercise | LIPPINCOTT WILLIAMS & WILKINS | Published : 2020

Abstract

INTRODUCTION: This cross-sectional study aimed to i) identify and characterize youth according to distinct physical activity (PA) and sedentary (SED) accumulation patterns, and ii) investigate associations of these derived patterns with cardiometabolic risk factors. METHODS: ActiGraph accelerometer data from 7- to 13-yr-olds from two studies were pooled (n = 1219; 843 (69%) with valid accelerometry included in analysis). Time accumulated in ≥5- and ≥10-min SED bouts, ≥1- and ≥5-min bouts of light, and ≥1-min bouts of moderate and vigorous PA was calculated. Frequency of breaks in SED was also obtained. Latent profile analysis was used to identify groups of participants based on their distinc..

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Grants

Awarded by National Heart Foundation Postdoctoral Research Fellowship


Awarded by National Health and Medical Research Council (NHMRC) Principal Research Fellowship


Awarded by Future Leader Fellowship from the National Heart Foundation of Australia


Awarded by NHMRC Centre of Research Excellence


Awarded by NHMRC Senior Research Fellowship


Awarded by ARC Future Fellowship


Awarded by NHMRC Early Career Fellowship


Awarded by NHMRC/National Heart Foundation of Australia Postgraduate Fellowship


Funding Acknowledgements

This research is secondary data analysis and did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors. The LOOK study received funding from The Commonwealth Education Trust and the Canberra Hospital Clinical Trials Unit. Transform-Us! was supported by a National Health and Medical Research Council Project Grant and a Diabetes Australia Research Trust grant. S. V. holds a Deakin University PhD scholarship. R. M. L. is supported by an Alfred Deakin Postdoctoral Fellowship and a National Heart Foundation Postdoctoral Research Fellowship (ID102109). J. S. was supported by a National Health and Medical Research Council (NHMRC) Principal Research Fellowship during the completion of this study (APP1026216). A. T. was supported by a Future Leader Fellowship from the National Heart Foundation of Australia (Award ID 100046) during the course of thiswork. J. S., A. T., and D. W. D. received funding support from the NHMRC Centre of Research Excellence (APP1057608). D. W. D. is supported by a NHMRC Senior Research Fellowship (NHMRC APP1078360) and in part by the Victorian Government's OIS Program. C. H. was supported by a National Heart Foundation of Australia postdoctoral fellowship during the completion of the study. E. C. is supported by an ARC Future Fellowship (FT140100085). L. S. O. is supported by an NHMRC Early Career Fellowship (APP1158487) and was supported by NHMRC/National Heart Foundation of Australia Postgraduate Fellowship during the LOOK Study (APP1056551). N. R. is supported by a Future Leader Fellowship from the National Heart Foundation of Australia (Award ID 101895).