Comparing different metabolic indexes to predict type 2 diabetes mellitus in a five years follow-up cohort: The Baependi Heart Study

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dc.contributorSistema FMUSP-HC: Faculdade de Medicina da Universidade de São Paulo (FMUSP) e Hospital das Clínicas da FMUSP
dc.contributor.authorOLIVEIRA, Camila Maciel de
dc.contributor.authorPAVANI, Jessica Leticia
dc.contributor.authorLIU, Chunyu
dc.contributor.authorBALCELLS, Mercedes
dc.contributor.authorCAPASSO, Robson
dc.contributor.authorALVIM, Rafael de Oliveira
dc.contributor.authorMOURAO-JUNIOR, Carlos Alberto
dc.contributor.authorKRIEGER, Jose Eduardo
dc.contributor.authorPEREIRA, Alexandre Costa
dc.date.accessioned2022-10-26T14:20:06Z
dc.date.available2022-10-26T14:20:06Z
dc.date.issued2022
dc.description.abstractThis study evaluates the association of anthropometric indexes and the incidence of type 2 diabetes mellitus (T2DM) after a 5-year follow-up. This analysis included 1091 middle-aged participants (57% women, mean age 47 +/- 15 years) who were free of T2DM at baseline and attended two health examinations cycles [cycle 1 (2005-2006) and cycle 2 (2010-2013)]. As expected, the participants who developed T2DM after five years (3.8%) had the worst metabolic profile with higher hypertension, dyslipidemia, and obesity rates. Besides, using mixed-effects logistic regression and adjustment for sex, age, and glucose, we found that one unit increase in body adiposity index (BAI) was associated with an 8% increase in their risk of developing T2DM (odds ratio [OR] = 1.08 [95% CI, 1.02-1.14]) and visceral adiposity index (VAI) was associated with a risk increase of 11% (OR = 1.11 [95% CI, 1.00-1.22]). Moreover, a one-unit increase in the triglycerides-glucose index (TyG) was associated with more than four times the risk of developing T2DM (OR = 4.27 [95% CI, 1.01-17.97]). The interquartile range odds ratio for the continuous predictors showed that TyG had the best discriminating performance. However, when any of them were additionally adjusted for waist circumference (WC) or even body mass index (BMI), all adiposity indexes lost the effect in predicting T2DM. In conclusion, TyG had the most substantial predictive power among all three indexes. However, neither BAI, VAI, nor TyG were superior to WC or BMI for predicting the risk of developing T2DM in a middle-aged normoglycemic sample in this rural Brazilian population.eng
dc.description.indexMEDLINEeng
dc.description.sponsorshipNIH/NHLBI [R01HL141881]
dc.description.sponsorshipSao Paulo Research Foundation (FAPESP)
dc.description.sponsorshipHospital Samaritano Society through the Ministry of Health to Support Program Institutional Development of the Unified Health System (SUSPROADI) [25000.180.664/2011-35]
dc.description.sponsorshipFundacion Empreses IQS
dc.description.sponsorshipGlobal CoCreation Lab, Inc (Miami, FL)
dc.description.sponsorshipSpain Minister of Economy [SAF2017-84773-C2-1-R]
dc.identifier.citationPLOS ONE, v.17, n.6, article ID e0267723, 9p, 2022
dc.identifier.doi10.1371/journal.pone.0267723
dc.identifier.issn1932-6203
dc.identifier.urihttps://observatorio.fm.usp.br/handle/OPI/49160
dc.language.isoeng
dc.publisherPUBLIC LIBRARY SCIENCEeng
dc.relation.ispartofPlos One
dc.rightsopenAccesseng
dc.rights.holderCopyright PUBLIC LIBRARY SCIENCEeng
dc.subject.othervisceral adiposity indexeng
dc.subject.otherassociationeng
dc.subject.wosMultidisciplinary Scienceseng
dc.titleComparing different metabolic indexes to predict type 2 diabetes mellitus in a five years follow-up cohort: The Baependi Heart Studyeng
dc.typearticleeng
dc.type.categoryoriginal articleeng
dc.type.versionpublishedVersioneng
dspace.entity.typePublication
hcfmusp.affiliation.countryEstados Unidos
hcfmusp.affiliation.countryChile
hcfmusp.affiliation.countryEspanha
hcfmusp.affiliation.countryisocl
hcfmusp.affiliation.countryisous
hcfmusp.affiliation.countryisoes
hcfmusp.author.externalOLIVEIRA, Camila Maciel de:Stanford Univ, Sch Med, Stanford, CA 94305 USA; Univ Sao Paulo Med Sch, Heart Inst InCor, Lab Genet & Mol Cardiol, Sao Paulo, Brazil; Univ Fed Parana, Dept Integrat Med, Curitiba, Parana, Brazil
hcfmusp.author.externalPAVANI, Jessica Leticia:Pontificia Univ Catolica Chile, Dept Stat, Santiago, Chile
hcfmusp.author.externalLIU, Chunyu:Framingham Heart Dis Epidemiol Study, Framingham, MA USA; Boston Univ, Dept Biostat, Boston, MA 02215 USA
hcfmusp.author.externalBALCELLS, Mercedes:MIT, Inst Med Engn & Sci, 77 Massachusetts Ave, Cambridge, MA 02139 USA; Ramon Llull Univ, Inst Quim Sarria, Bioengn Dept, Barcelona, Spain
hcfmusp.author.externalCAPASSO, Robson:Stanford Univ, Sch Med, Stanford, CA 94305 USA
hcfmusp.author.externalALVIM, Rafael de Oliveira:Univ Sao Paulo Med Sch, Heart Inst InCor, Lab Genet & Mol Cardiol, Sao Paulo, Brazil; Univ Fed Amazonas, Dept Physiol Sci, Manaus, Amazonas, Brazil
hcfmusp.author.externalMOURAO-JUNIOR, Carlos Alberto:Univ Fed Juiz de Fora, Dept Physiol, Juiz De Fora, Brazil
hcfmusp.citation.scopus1
hcfmusp.contributor.author-fmusphcJOSE EDUARDO KRIEGER
hcfmusp.contributor.author-fmusphcALEXANDRE DA COSTA PEREIRA
hcfmusp.description.articlenumbere0267723
hcfmusp.description.issue6
hcfmusp.description.volume17
hcfmusp.origemWOS
hcfmusp.origem.pubmed35657786
hcfmusp.origem.scopus2-s2.0-85131702219
hcfmusp.origem.wosWOS:000843619700089
hcfmusp.publisher.citySAN FRANCISCOeng
hcfmusp.publisher.countryUSAeng
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