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dc.contributorUniversitat Ramon Llull. IQS
dc.contributor.authorDe Oliveira, Camila Maciel
dc.contributor.authorPavani, Jessica
dc.contributor.authorLiu, Chunyu
dc.contributor.authorBalcells Camps, Mercedes
dc.contributor.authorCapasso, Robson
dc.contributor.authorDe Oliveira Alvim, Rafael
dc.contributor.authorMourao-Junior, Carlos Alberto
dc.contributor.authorKrieger, José Eduardo
dc.contributor.authorCosta Pereira, Alexandre
dc.date.accessioned2024-10-22T12:28:40Z
dc.date.available2024-10-22T12:28:40Z
dc.date.issued2022
dc.identifier.issn1932-6203ca
dc.identifier.urihttp://hdl.handle.net/20.500.14342/4455
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.ca
dc.format.extentp.9ca
dc.language.isoengca
dc.publisherPublic Library Scienceca
dc.relation.ispartofPLoS ONE 17(6): e0267723ca
dc.rights© L'autor/aca
dc.rightsAttribution 4.0 Internationalca
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subject.otherDiabetesca
dc.subject.otherAnthropometryca
dc.subject.otherDiabetisca
dc.subject.otherAntropometriaca
dc.titleComparing different metabolic indexes to predict type 2 diabetes mellitus in a five years follow-up cohort: The Baependi Heart Studyca
dc.typeinfo:eu-repo/semantics/articleca
dc.rights.accessLevelinfo:eu-repo/semantics/openAccess
dc.embargo.termscapca
dc.subject.udc572ca
dc.subject.udc616.3ca
dc.identifier.doihttps://doi.org/10.1371/journal.pone.0267723ca
dc.relation.projectIDinfo:eu-repo/grantAgreement/SUS-PROADI/Hospital Samaritano Society/Grant no. 25000.180.664/2011-35ca
dc.relation.projectIDinfo:eu-repo/grantAgreement/MEIC/PN I+D/SAF2017-84773-C2-1-Rca
dc.relation.projectIDinfo:eu-repo/grantAgreement/NIH/NHLBI/R01HL141881ca
dc.description.versioninfo:eu-repo/semantics/publishedVersionca


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