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Linking cardiorespiratory fitness classification criteria to early subclinical atherosclerosis in children

dc.contributor.authorMelo, Xavier
dc.contributor.authorSanta-Clara, Helena
dc.contributor.authorSantos, Diana
dc.contributor.authorPimenta, Nuno M.
dc.contributor.authorMinderico, Cláudia S.
dc.contributor.authorFernhall, Bo
dc.contributor.authorSardinha, Luís B.
dc.date.accessioned2018-02-06T13:11:02Z
dc.date.available2018-02-06T13:11:02Z
dc.date.issued2014-12-16
dc.description.abstractIt is unclear if cardiorespiratory fitness (CRF) can be used as a screening tool for premature changes in carotid intima-media thickness (cIMT) in paediatric populations. The purpose of this cross-sectional study was 3-fold: (i) to determine if CRF can be used to screen increased cIMT; (ii) to determine an optimal CRF cut-off to predict increased cIMT; and (iii) to evaluate its ability to predict increased cIMT among children in comparison with existent CRF cut-offs. cIMT was assessed with high-resolution ultrasonography and CRF was determined using a maximal cycle test. Receiver operating characteristic analyses were conducted in boys (n = 211) and girls (n = 202) aged 11-12 years to define the optimal sex-specific CRF cut-off to classify increased cIMT (≥75th percentile). Logistic regression was used to examine the association between the CRF cut-offs with the risk of having an increased cIMT. The optimal CRF cut-offs to predict increased cIMT were 45.81 and 34.46 mL·kg(-1)·min(-1) for boys and girls, respectively. The odds-ratios for having increased cIMT among children who were unfit was up to 2.8 times the odds among those who were fit (95% confidence interval: 1.40-5.53). Considering current CRF cut-offs, only those suggested by Adegboye et al. 2011. (Br. J. Sports Med. 45(9): 722-728) and Boddy et al. 2012 (PLoS One, 7(9): e45755) were significant in predicting increased cIMT. In conclusion, CRF cut-offs (boys: ≤ 45.8; girls: ≤ 34.5 mL·kg(-1)·min(-1)) are associated with thickening of the arterial wall in 11- to 12-year-old children. Low CRF is an important cardiovascular risk factor in children and our data highlight the importance of obtaining an adequate CRF.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationMelo, Xavier, Helena Santa-Clara, Diana A. Santos, Nuno M. Pimenta, Cláudia S. Minderico, Bo Fernhall, and Luís B. Sardinha. 2015. “Linking Cardiorespiratory Fitness Classification Criteria to Early Subclinical Atherosclerosis in Children.” Applied Physiology, Nutrition, and Metabolism 40 (4):386–392. https://doi.org/10.1139/apnm-2014-0378.pt_PT
dc.identifier.doi10.1139/apnm-2014-0378pt_PT
dc.identifier.issn1715-5312
dc.identifier.urihttp://hdl.handle.net/10400.15/2106
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherNRC Research Presspt_PT
dc.relationARTERIAL FUNCTION IN CHILDREN: THE INFLUENCE OF CARDIOVASCULAR FITNESS, PHYSICAL ACTIVITY AND OBESITY
dc.relation.publisherversionhttps://www.nrcresearchpress.com/doi/abs/10.1139/apnm-2014-0378#.XOaPHNJKhdgpt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectAbsorptiometrypt_PT
dc.subjectAtherosclerosispt_PT
dc.subjectBlood Pressurept_PT
dc.subjectBody Mass Indexpt_PT
dc.subjectCardiovascular Systempt_PT
dc.subjectCarotid Arteriespt_PT
dc.subjectChildpt_PT
dc.subjectCross-Sectional Studiespt_PT
dc.subjectFemalept_PT
dc.subjectHemodynamicspt_PT
dc.subjectHumanspt_PT
dc.subjectLogistic Modelspt_PT
dc.subjectMalept_PT
dc.subjectRespiratory Systempt_PT
dc.subjectRisk Factorspt_PT
dc.subjectCarotid Intima-Media Thicknesspt_PT
dc.subjectHealth Behaviorpt_PT
dc.subjectPhoton
dc.titleLinking cardiorespiratory fitness classification criteria to early subclinical atherosclerosis in childrenpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleARTERIAL FUNCTION IN CHILDREN: THE INFLUENCE OF CARDIOVASCULAR FITNESS, PHYSICAL ACTIVITY AND OBESITY
oaire.awardURIinfo:eu-repo/grantAgreement/FCT//SFRH%2FBD%2F70515%2F2010/PT
oaire.citation.conferencePlaceOttawa, ON, ‎ Canadapt_PT
oaire.citation.endPage392pt_PT
oaire.citation.issue4pt_PT
oaire.citation.startPage386pt_PT
oaire.citation.titleApplied Physiology, Nutrition, and Metabolismpt_PT
oaire.citation.volume40pt_PT
person.familyNameMelo
person.familyNameSanta-Clara
person.familyNameSantos
person.givenNameXavier
person.givenNameHelena
person.givenNameDiana
person.identifierG-7713-2016
person.identifier1272667
person.identifier.ciencia-idD010-C9C5-5147
person.identifier.ciencia-idCE1C-5AB1-14B9
person.identifier.orcid0000-0003-3934-3986
person.identifier.orcid0000-0003-3134-3893
person.identifier.orcid0000-0003-0429-3093
person.identifier.ridIQW-2251-2023
person.identifier.ridH-9086-2013
person.identifier.scopus-author-id36613303700
person.identifier.scopus-author-id6506107238
person.identifier.scopus-author-id55951861100
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication2e6ad77c-2180-4d9b-b93f-9610706afe4a
relation.isAuthorOfPublicationee265fc7-0b69-4499-a8a2-c41b0f1668df
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relation.isAuthorOfPublication.latestForDiscoverydab63482-2e91-4e27-924b-f70ac0ef80cb
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