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

Simple item page
dc.contributor.authorVerswijveren, S.J.J.M.
dc.contributor.authorLamb, K.E.
dc.contributor.authorLeech, R.M.
dc.contributor.authorSalmon, J.O.
dc.contributor.authorTimperio, A.
dc.contributor.authorTelford, R.M.
dc.contributor.authorMcNarry, M.A.
dc.contributor.authorMackintosh, K.A.
dc.contributor.authorDaly, R.M.
dc.contributor.authorDunstan, D.W.
dc.contributor.authorHume, C.
dc.contributor.authorCerin, E.
dc.contributor.authorOlive, L.S.
dc.contributor.authorRidgers, N.D.
dc.date.issued2020
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.
dc.description.statementofresponsibilitySimone J. J. M. 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, and Nicola D. Ridgers
dc.identifier.citationMedicine & Science in Sports & Exercise, 2020; 52(7):1502-1510
dc.identifier.doi10.1249/MSS.0000000000002275
dc.identifier.issn0195-9131
dc.identifier.issn1530-0315
dc.identifier.orcidHume, C. [0000-0002-5719-3232]
dc.identifier.urihttps://hdl.handle.net/2440/143725
dc.language.isoen
dc.publisherLippincott, Williams & Wilkins
dc.relation.granthttp://purl.org/au-research/grants/nhmrc/1026216
dc.relation.granthttp://purl.org/au-research/grants/nhmrc/1057608
dc.relation.granthttp://purl.org/au-research/grants/nhmrc/1078360
dc.relation.granthttp://purl.org/au-research/grants/arc/FT140100085
dc.relation.granthttp://purl.org/au-research/grants/nhmrc/1158487
dc.relation.granthttp://purl.org/au-research/grants/nhmrc/1056551
dc.rights© 2020 by the American College of Sports Medicine.
dc.source.urihttps://doi.org/10.1249/mss.0000000000002275
dc.subjectPhysical Activity; Sedentary Behavior; Accumulation Patterns; Accelerometry; Latent Profile Analysis; Cardiometabolic Health
dc.subject.meshCardiovascular System
dc.subject.meshHumans
dc.subject.meshCardiovascular Diseases
dc.subject.meshTriglycerides
dc.subject.meshBody Mass Index
dc.subject.meshExercise
dc.subject.meshRisk Factors
dc.subject.meshCross-Sectional Studies
dc.subject.meshBlood Pressure
dc.subject.meshAdolescent
dc.subject.meshChild
dc.subject.meshFemale
dc.subject.meshMale
dc.subject.meshAdiposity
dc.subject.meshCholesterol, LDL
dc.subject.meshCholesterol, HDL
dc.subject.meshWaist Circumference
dc.subject.meshAccelerometry
dc.subject.meshFitness Trackers
dc.subject.meshSedentary Behavior
dc.titleActivity Accumulation and Cardiometabolic Risk in Youth: A Latent Profile Approach
dc.typeJournal article
pubs.publication-statusPublished

Files

Collections

Research Outputs