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

dc.contributor.authorVerswijveren, Simone J. J. M.
dc.contributor.authorLamb, Karen E
dc.contributor.authorLeech, Rebecca M.
dc.contributor.authorSalmon, Jo
dc.contributor.authorTimperio, Anna
dc.contributor.authorTelford, Rohan M
dc.contributor.authorMcNarry, Melitta A.
dc.contributor.authorMacKintosh, Kelly A.
dc.contributor.authorDaly, Robin M
dc.contributor.authorDunstan, David W.
dc.contributor.authorOlive, Lisa
dc.date.accessioned2024-03-03T22:40:05Z
dc.date.issued2020
dc.date.updated2022-10-16T07:25:44Z
dc.description.abstractIntroduction 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 distinct accumulation patterns. Linear and logistic regression models were used to test associations of group accumulation patterns with cardiometabolic risk factors, including adiposity indicators, blood pressure, and lipids. Total PA and SED time were also compared between groups. Results Three distinct groups were identified: “prolonged sitters” had the most time in sustained SED bouts and the least time in vigorous PA bouts; “breakers” had the highest frequency of SED breaks and lowest engagement in sustained bouts across most PA intensities; and “prolonged movers” had the least time accumulated in SED bouts and the most in PA bouts across most intensities. Although breakers engaged in less time in PA bouts compared with other groups, they had the healthiest adiposity indicators. No associations with the remaining cardiometabolic risk factors were found. Conclusion Youth accumulate their daily activity in three distinct patterns (prolonged sitters, breakers, and prolonger movers), with those breaking up sitting and least time in prolonged PA bouts across the day having a lower adiposity risk. No relationships with other cardiometabolic risk factors were identified.en_AU
dc.format.mimetypeapplication/pdfen_AU
dc.identifier.issn0363-5465en_AU
dc.identifier.urihttp://hdl.handle.net/1885/315639
dc.language.isoen_AUen_AU
dc.publisherSAGE Publicationsen_AU
dc.relationhttp://purl.org/au-research/grants/nhmrc/102109en_AU
dc.relationhttp://purl.org/au-research/grants/nhmrc/1026216en_AU
dc.relationhttp://purl.org/au-research/grants/nhmrc/1057608en_AU
dc.relationhttp://purl.org/au-research/grants/nhmrc/1078360en_AU
dc.relationhttp://purl.org/au-research/grants/arc/FT140100085en_AU
dc.relationhttp://purl.org/au-research/grants/nhmrc/1158487en_AU
dc.relationhttp://purl.org/au-research/grants/nhmrc/1056551en_AU
dc.rights© 2020 The authorsen_AU
dc.sourceAmerican Journal of Sports Medicineen_AU
dc.subjectPHYSICAL ACTIVITYen_AU
dc.subjectSEDENTARY BEHAVIORen_AU
dc.subjectACCUMULATION PATTERNSen_AU
dc.subjectACCELEROMETRYen_AU
dc.subjectLATENT PROFILE ANALYSISen_AU
dc.subjectCARDIOMETABOLIC HEALTHen_AU
dc.titleActivity Accumulation and Cardiometabolic Risk in Youth: A Latent Profile Approachen_AU
dc.typeJournal articleen_AU
local.bibliographicCitation.issue7en_AU
local.bibliographicCitation.lastpage1510en_AU
local.bibliographicCitation.startpage1502en_AU
local.contributor.affiliationVerswijveren, Simone J. J. M., School of Exercise and Nutrition Sciences, Deakin Universityen_AU
local.contributor.affiliationLamb, Karen E, Murdoch Children’s Research Instituteen_AU
local.contributor.affiliationLeech, Rebecca M., School of Exercise and Nutrition Sciences, Deakin Universityen_AU
local.contributor.affiliationSalmon, Jo, School of Exercise and Nutrition Sciences, Deakin Universityen_AU
local.contributor.affiliationTimperio, Anna, School of Exercise and Nutrition Sciences, Deakin Universityen_AU
local.contributor.affiliationTelford, Rohan M, University of Canberraen_AU
local.contributor.affiliationMcNarry, Melitta A., Exercise and Medicine Research Centre, Swansea Universityen_AU
local.contributor.affiliationMacKintosh, Kelly A., Exercise and Medicine Research Centre, Swansea Universityen_AU
local.contributor.affiliationDaly, Robin M, Deakin Universityen_AU
local.contributor.affiliationDunstan, David W., Deakin Universityen_AU
local.contributor.affiliationOlive, Lisa, College of Health and Medicine, ANUen_AU
local.contributor.authoruidOlive, Lisa, u4285730en_AU
local.description.embargo2099-12-31
local.description.notesImported from ARIESen_AU
local.identifier.absfor520101 - Child and adolescent developmenten_AU
local.identifier.absseo200401 - Behaviour and healthen_AU
local.identifier.ariespublicationa383154xPUB14314en_AU
local.identifier.citationvolume52en_AU
local.identifier.doi10.1249/MSS.0000000000002275en_AU
local.identifier.scopusID2-s2.0-85086523906
local.identifier.thomsonIDWOS:000549971300008
local.publisher.urlhttps://journals.lww.com/en_AU
local.type.statusPublished Versionen_AU

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