Please use this identifier to cite or link to this item: https://repository.monashhealth.org/monashhealthjspui/handle/1/28973
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dc.contributor.authorDwyer T.en
dc.contributor.authorWake M.en
dc.contributor.authorBurgner D.en
dc.contributor.authorLiu M.en
dc.contributor.authorLycett K.en
dc.contributor.authorJuonala M.en
dc.contributor.authorMagnussen C.G.en
dc.contributor.authorNorrish D.en
dc.contributor.authorMensah F.K.en
dc.contributor.authorLiu R.en
dc.contributor.authorClifford S.A.en
dc.contributor.authorCarlin J.B.en
dc.contributor.authorOlds T.en
dc.contributor.authorSaffery R.en
dc.contributor.authorKerr J.A.en
dc.contributor.authorRanganathan S.en
dc.contributor.authorBaur L.A.en
dc.contributor.authorSabin M.A.en
dc.contributor.authorCheung M.en
dc.date.accessioned2021-05-14T09:46:09Zen
dc.date.available2021-05-14T09:46:09Zen
dc.date.copyright2020en
dc.date.created20201205en
dc.date.issued2020-12-05en
dc.identifier.citationPediatrics. 146 (2) (no pagination), 2020. Article Number: e20193666. Date of Publication: 01 Aug 2020.en
dc.identifier.issn0031-4005en
dc.identifier.urihttps://repository.monashhealth.org/monashhealthjspui/handle/1/28973en
dc.description.abstractOBJECTIVES: To examine how overweight and obesity at specific ages and overall BMI growth patterns throughout childhood predict cardiometabolic phenotypes at 11 to 12 years. METHOD(S): In a population-based sample of 5107 infants, BMI was measured every 2 years between ages 2 to 3 and 10 to 11 years. We identified 5 BMI trajectories using growth curve models. At ages 11 to 12 years, 1811 children completed assessments for metabolic syndrome risk scores, carotid-femoral pulse wave velocity, and carotid intima-media thickness. Multivariable regression models were used to estimate associations, adjusted for potential confounders (eg, age, sex, smoking exposure, and small for gestational age). RESULT(S): Overweight and obesity from early childhood onward were strongly associated with higher cardiometabolic risk at 11 to 12 years of age. At age 6 to 7 years, compared with those with a healthy weight, children with overweight had higher metabolic syndrome risk scores by 0.23 SD units (95% confidence interval 0.05 to 0.41) and with obesity by 0.76 SD units (0.51-1.01), with associations almost doubling by age 10 to 11 years. Obese (but not overweight) children had higher outcome pulse wave velocity (0.64-0.73 SD units) from ages 6 to 7 years and slightly higher outcome carotid intima-media thickness (0.20-0.30 SD units) at all ages. Cumulative exposure to high BMI from 2 to 3 years of age carried the greatest cardiometabolic risk, with a gradient of risk across trajectories. CONCLUSION(S): High early-childhood BMI is already silently associated with the development of cardiometabolic risk by 11 to 12 years, highlighting the urgent need for effective action to reduce overweight and obesity in early childhood.Copyright © 2020 by the American Academy of Pediatricsen
dc.languageEnglishen
dc.languageenen
dc.publisherAmerican Academy of Pediatricsen
dc.relation.ispartofPediatricsen
dc.titleBody mass index from early to late childhood and cardiometabolic measurements at 11 to 12 years.en
dc.typeArticleen
dc.identifier.doihttp://monash.idm.oclc.org/login?url=http://dx.doi.org/10.1542/peds.2019-3666-
dc.publisher.placeUnited Statesen
dc.identifier.pubmedid32632021 [http://www.ncbi.nlm.nih.gov/pubmed/?term=32632021]en
dc.identifier.source2007402224en
dc.identifier.institution(Lycett) Centre for Social and Early Emotional Development, Deakin University, Burwood, VIC, Australia (Lycett, Juonala, Norrish, Mensah, Liu, Clifford, Carlin, Olds, Saffery, Kerr, Ranganathan, Sabin, Cheung, Dwyer, Liu, Burgner, Wake) Murdoch Children's Research Institute, Royal Children's Hospital, Parkville, VIC, Australia (Lycett, Mensah, Liu, Clifford, Carlin, Saffery, Kerr, Ranganathan, Sabin, Cheung, Liu, Burgner, Wake) Department of Paediatrics, Melbourne Medical School, University of Melbourne, Parkville, VIC, Australia (Juonala) Department of Internal Medicine (Magnussen) Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland (Juonala) Division of Medicine, Turku University Hospital, Turku, Finland (Magnussen) Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS, Australia (Norrish) Research School of Computer Science, Australian National University, Canberra, ACT, Australia (Olds) Alliance for Research in Exercise, Nutrition and Activity, University of South Australia, Adelaide, Australia (Baur) Discipline of Child and Adolescent Health, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia (Dwyer) Nuffield Department of Women's and Reproductive Health, University of Oxford, Oxford, United Kingdom (Burgner) Department of Paediatrics, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia (Magnussen) Centre for Population Health Research, University of Turku, Turku University Hospital, Turku, Finlanden
dc.description.addressK. Lycett, Murdoch Children's Research Institute, Royal Children's Hospital, 50 Flemington Rd, Parkville, VIC 3052, Australia. E-mail: kate.lycett@mcri.edu.auen
dc.description.publicationstatusEmbaseen
dc.rights.statementCopyright 2020 Elsevier B.V., All rights reserved.en
dc.identifier.authoremailLycett K.; kate.lycett@mcri.edu.auen
dc.description.grantNo: 1041352 Organization: (NHMRC) *National Health and Medical Research Council* Organization No: 501100000925 Country: Australia No: 1109355 Organization: (NHMRC) *National Health and Medical Research Council* Organization No: 501100000925 Country: Australiaen
item.fulltextNo Fulltext-
item.cerifentitytypePublications-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.grantfulltextnone-
item.openairetypeArticle-
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