Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/50613
DC FieldValueLanguage
dc.contributor.authorWägner, A. M.en_US
dc.contributor.authorWiebe, J. C.en_US
dc.contributor.authorBoronat, M.en_US
dc.contributor.authorSaavedra Santana, Pedroen_US
dc.contributor.authorMarrero, D.en_US
dc.contributor.authorVarillas, F.en_US
dc.contributor.authorNóvoa, F. J.en_US
dc.date.accessioned2018-11-24T17:26:41Z-
dc.date.available2018-11-24T17:26:41Z-
dc.date.issued2011en_US
dc.identifier.issn0391-4097en_US
dc.identifier.otherWoS-
dc.identifier.urihttp://hdl.handle.net/10553/50613-
dc.description.abstractBackground: Most studies describing an association between hypertension and an inflammatory/pro-thrombotic state do not assess insulin resistance. Aim: To examine the association between hypertension and new cardiovascular risk factors when considering both classical risk factors and insulin resistance. Methods: In a population-based sample of 10:30 subjects, clinical information and blood samples were obtained. Subjects were classified according to the presence or absence of hypertension, and insulin resistance was estimated using the homeostasis model of assessment (HOMA). To identify variables independently associated with hypertension, a four-model multiple logistic regression was performed: model 1 included novel risk factors (Plasminogen Activator Inhibitor-1 [PAI-1], fibrinogen, von Willebrand Factor [vWF], lipoprotein(a), homocysteine and C-reactive Protein [CRP]); model 2, novel risk factors plus HOMA; model 3 included both classical (smoking, triglycerides, HDL cholesterol, total cholesterol, waist circumference and diabetes) and novel risk factors and model 4, model 3 plus HOMA. All were adjusted for age, BMI and gender and compared using Akaike's Information Criterion (AIC). Results: In model 1, only PAI-1, age and BMI showed association with hypertension. When HOMA and classical risk factors were also included, PAI-1 was replaced by triglyceride, smoking and diabetes. The lowest AIC value (best adjustment) was displayed by model 4, comprising all of the variables. Only age, BMI, HOMA and smoking remained significantly associated with hypertension. Conclusions: The novel cardiovascular risk factors assessed do not add information as markers of hypertension when classical risk factors or insulin resistance are included in the evaluation.en_US
dc.languageengen_US
dc.relation.ispartofJournal of endocrinological investigationen_US
dc.sourceJournal of endocrinological investigation [ISSN 0391-4097], v. 34 (11), p. e409-e412, (Diciembre 2011)en_US
dc.subject320502 Endocrinologíaen_US
dc.subject.otherHOMAen_US
dc.subject.otherPAI-1en_US
dc.subject.otherMetabolic Syndromeen_US
dc.subject.otherObesityen_US
dc.subject.otherTriglycerideen_US
dc.titleInsulin resistance explains the relationship between novel cardiovascular risk factors and hypertension. The Telde Studyen_US
dc.typeinfo:eu-repo/semantics/articleen_US
dc.typeArticleen_US
dc.identifier.doi10.3275/7325en_US
dc.identifier.pmid21042046-
dc.identifier.scopus84863601681-
dc.identifier.isi000301027000021-
dc.contributor.authorscopusid7401456520-
dc.contributor.authorscopusid54390208600-
dc.contributor.authorscopusid7003952293-
dc.contributor.authorscopusid22635626800-
dc.contributor.authorscopusid54080032500-
dc.contributor.authorscopusid55130599700-
dc.contributor.authorscopusid12786120600-
dc.identifier.eissn1720-8386-
dc.description.lastpageE412en_US
dc.identifier.issue11-
dc.description.firstpageE409en_US
dc.relation.volume34en_US
dc.investigacionCiencias de la Saluden_US
dc.type2Artículoen_US
dc.contributor.daisngid450201-
dc.contributor.daisngid2169777-
dc.contributor.daisngid673494-
dc.contributor.daisngid8838450-
dc.contributor.daisngid9506369-
dc.contributor.daisngid6993936-
dc.contributor.daisngid556390-
dc.description.numberofpages4en_US
dc.utils.revisionen_US
dc.contributor.wosstandardWOS:Wagner, AM-
dc.contributor.wosstandardWOS:Wiebe, JC-
dc.contributor.wosstandardWOS:Boronat, M-
dc.contributor.wosstandardWOS:Saavedra, P-
dc.contributor.wosstandardWOS:Marrero, D-
dc.contributor.wosstandardWOS:Varillas, F-
dc.contributor.wosstandardWOS:Novoa, FJ-
dc.date.coverdateDiciembre 2011en_US
dc.identifier.ulpgcen_US
dc.contributor.buulpgcBU-MEDen_US
dc.description.sjr0,573
dc.description.jcr1,566
dc.description.sjrqQ3
dc.description.jcrqQ4
dc.description.scieSCIE
item.grantfulltextnone-
item.fulltextSin texto completo-
crisitem.author.deptGIR Diabetes y endocrinología aplicada-
crisitem.author.deptIU de Investigaciones Biomédicas y Sanitarias-
crisitem.author.deptDepartamento de Ciencias Médicas y Quirúrgicas-
crisitem.author.deptGIR Diabetes y endocrinología aplicada-
crisitem.author.deptIU de Investigaciones Biomédicas y Sanitarias-
crisitem.author.deptDepartamento de Ciencias Médicas y Quirúrgicas-
crisitem.author.deptGIR Estadística-
crisitem.author.deptDepartamento de Matemáticas-
crisitem.author.orcid0000-0002-7663-9308-
crisitem.author.orcid0000-0001-8535-8543-
crisitem.author.orcid0000-0003-1681-7165-
crisitem.author.parentorgIU de Investigaciones Biomédicas y Sanitarias-
crisitem.author.parentorgIU de Investigaciones Biomédicas y Sanitarias-
crisitem.author.parentorgDepartamento de Matemáticas-
crisitem.author.fullNameWägner, Anna Maria Claudia-
crisitem.author.fullNameBoronat Cortés, Mauro-
crisitem.author.fullNameSaavedra Santana, Pedro-
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