Waist-to-height ratio and cardiovascular risk factors in elderly individuals at high cardiovascular risk

dc.contributor.authorGuasch-Ferré, Marta
dc.contributor.authorBulló, Mònica
dc.contributor.authorMartínez-González, Miguel Ángel, 1957-
dc.contributor.authorCorella Piquer, Dolores
dc.contributor.authorEstruch Riba, Ramon
dc.contributor.authorCovas Planells, María Isabel
dc.contributor.authorArós, Fernando
dc.contributor.authorWärnberg, Julia
dc.contributor.authorFiol Sala, Miguel
dc.contributor.authorLapetra, José
dc.contributor.authorMuñoz Pérez, Miguel Ángel
dc.contributor.authorSerra Majem, Lluís
dc.contributor.authorPintó Sala, Xavier
dc.contributor.authorBabio, Nancy
dc.contributor.authorDíaz López, Andrés
dc.contributor.authorSalas Salvadó, Jordi
dc.date.accessioned2018-10-04T14:33:57Z
dc.date.available2018-10-04T14:33:57Z
dc.date.issued2012-08-14
dc.date.updated2018-10-04T14:33:58Z
dc.description.abstractIntroduction Several anthropometric measurements have been associated with cardiovascular disease, type-2 diabetes mellitus and other cardiovascular risk conditions, such as hypertension or metabolic syndrome. Waist-to-height-ratio has been proposed as a useful tool for assessing abdominal obesity, correcting other measurements for the height of the individual. We compared the ability of several anthropometric measurements to predict the presence of type-2 diabetes, hyperglycemia, hypertension, atherogenic dyslipidemia or metabolic syndrome. Materials and Methods In our cross-sectional analyses we included 7447 Spanish individuals at high cardiovascular risk, men aged 55-80 years and women aged 60-80 years, from the PREDIMED study. Logistic regression models were fitted to evaluate the odds ratio of presenting each cardiovascular risk factor according to various anthropometric measures. The areas under the receiver-operating characteristic curve (AUC) were used to compare the predictive ability of these measurements. Results In this relatively homogeneous cohort with 48.6% of type-2 diabetic individuals, the great majority of the studied anthropometric parameters were significantly and positively associated with the cardiovascular risk factors. No association was found between BMI and body weight and diabetes mellitus. The AUCs for the waist-to-height ratio and waist circumference were significantly higher than the AUCs for BMI or weight for type-2 diabetes, hyperglycemia, atherogenic dyslipidemia and metabolic syndrome. Conversely, BMI was the strongest predictor of hypertension. Conclusions We concluded that measures of abdominal obesity showed higher discriminative ability for diabetes mellitus, high fasting plasma glucose, atherogenic dyslipidemia and metabolic syndrome than BMI or weight in a large cohort of elderly Mediterranean individuals at high cardiovascular risk. No significant differences were found between the predictive abilities of waist-to-height ratio and waist circumference on the metabolic disease.
dc.format.extent6 p.
dc.format.mimetypeapplication/pdf
dc.identifier.idgrec626291
dc.identifier.issn1932-6203
dc.identifier.pmid22905246
dc.identifier.urihttps://hdl.handle.net/2445/125064
dc.language.isoeng
dc.publisherPublic Library of Science (PLoS)
dc.relation.isformatofReproducció del document publicat a: https://doi.org/10.1371/journal.pone.0043275
dc.relation.ispartofPLoS One, 2012, vol. 7, num. 8, p. e43275
dc.relation.urihttps://doi.org/10.1371/journal.pone.0043275
dc.rightscc-by (c) Guasch-Ferré, Marta et al., 2012
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es
dc.sourceArticles publicats en revistes (Medicina)
dc.subject.classificationMalalties cardiovasculars
dc.subject.classificationPersones grans
dc.subject.classificationObesitat
dc.subject.otherCardiovascular diseases
dc.subject.otherOlder people
dc.subject.otherObesity
dc.titleWaist-to-height ratio and cardiovascular risk factors in elderly individuals at high cardiovascular risk
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion

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