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dc.contributor.authorde Oliveira, Camila Maciel
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.authorMourão-Júnior, Carlos Alberto
dc.contributor.authorKrieger, José Eduardo
dc.contributor.authorPereira, Alexandre Costa
dc.date.accessioned2022-07-29T12:08:39Z
dc.date.available2022-07-29T12:08:39Z
dc.date.issued2022-06-03
dc.identifier.issn1932-6203
dc.identifier.urihttps://hdl.handle.net/1721.1/144116
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.en_US
dc.publisherPublic Library of Science (PLoS)en_US
dc.relation.isversionof10.1371/journal.pone.0267723en_US
dc.rightsCreative Commons Attribution 4.0 International licenseen_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.sourcePLoSen_US
dc.titleComparing different metabolic indexes to predict type 2 diabetes mellitus in a five years follow-up cohort: The Baependi Heart Studyen_US
dc.typeArticleen_US
dc.identifier.citationde Oliveira, Camila Maciel, Pavani, Jessica Leticia, Liu, Chunyu, Balcells, Mercedes, Capasso, Robson et al. 2022. "Comparing different metabolic indexes to predict type 2 diabetes mellitus in a five years follow-up cohort: The Baependi Heart Study." 17 (6).
dc.contributor.departmentMassachusetts Institute of Technology. Institute for Medical Engineering & Science
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.date.submission2022-07-29T12:04:45Z
mit.journal.volume17en_US
mit.journal.issue6en_US
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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