The adiposity of children is associated with their lifestyle behaviors: a cluster analysis of school-aged children from 12 nations

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dc.contributor.authorDumuid, D.
dc.contributor.authorOlds, T.
dc.contributor.authorLewis, L. K.
dc.contributor.authorMartin-Fernández, J. A.
dc.contributor.authorBarreira, T.
dc.contributor.authorBroyles, S.
dc.contributor.authorChaput, J-P.
dc.contributor.authorFogelholm, M.
dc.contributor.authorHu, G.
dc.contributor.authorKuriyan, R.
dc.contributor.authorKurpad, A.
dc.contributor.authorLambert, E. V.
dc.contributor.authorMaia, J.
dc.contributor.authorMatsudo, V.
dc.contributor.authorOnywera, V.O.
dc.contributor.authorSarmiento, O.L.
dc.contributor.authorStandage, M.
dc.contributor.authorTremblay, M.S.
dc.contributor.authorTudor-Locke, C.
dc.contributor.authorZhao, P.
dc.contributor.authorKatzmarzyk, P.
dc.contributor.authorGillison, F.
dc.contributor.authorMaher, C.
dc.date.accessioned2017-01-11T09:58:29Z
dc.date.available2017-01-11T09:58:29Z
dc.date.issued2016
dc.descriptionResearch Articleen_US
dc.description.abstractBackground: The relationship between children’s adiposity and lifestyle behaviour patterns is an area of growing interest. Objectives: The objectives of this study are to identify clusters of children based on lifestyle behaviours and compare children’s adiposity among clusters. Methods: Cross-sectional data from the International Study of Childhood Obesity, Lifestyle and the Environment were used. Participants: the participants were children (9–11 years) from 12 nations (n = 5710). Measures: 24-h accelerometry and self-reported diet and screen time were clustering input variables. Objectively measured adiposity indicators were waist-to-height ratio, percent body fat and body mass index z-scores. Analysis: sex-stratified analyses were performed on the global sample and repeated on a site-wise basis. Cluster analysis (using isometric log ratios for compositional data) was used to identify common lifestyle behaviour patterns. Site representation and adiposity were compared across clusters using linear models. Results: Four clusters emerged: (1) Junk Food Screenies, (2) Actives, (3) Sitters and (4) All-Rounders. Countries were represented differently among clusters. Chinese children were over-represented in Sitters and Colombian children in Actives. Adiposity varied across clusters, being highest in Sitters and lowest in Actives. Conclusions: Children from different sites clustered into groups of similar lifestyle behaviours. Cluster membership was linked with differing adiposity. Findings support the implementation of activity interventions in all countries, targeting both physical activity and sedentary time.en_US
dc.identifier.uridoi:10.1111/ijpo.12196
dc.identifier.urihttp://ir-library.ku.ac.ke/handle/123456789/15270
dc.language.isoenen_US
dc.publisherWorld Obesity Federationen_US
dc.subjectLifestyle behavioursen_US
dc.subjectDieten_US
dc.subjectObesityen_US
dc.subjectCompositional analysis.en_US
dc.titleThe adiposity of children is associated with their lifestyle behaviors: a cluster analysis of school-aged children from 12 nationsen_US
dc.typeArticleen_US
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