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.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.authorMourao-Junior, Carlos Alberto
dc.contributor.authorKrieger, Jose Eduardo
dc.contributor.authorPereira, Alexandre Costa
dc.date.accessioned2025-01-20T21:02:55Z
dc.date.available2025-01-20T21:02:55Z
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.
dc.fuente.origenWOS
dc.identifier.doi10.1371/journal.pone.0267723
dc.identifier.issn1932-6203
dc.identifier.urihttps://doi.org/10.1371/journal.pone.0267723
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/93102
dc.identifier.wosidWOS:000843619700089
dc.issue.numero6
dc.language.isoen
dc.revistaPlos one
dc.rightsacceso restringido
dc.subject.ods03 Good Health and Well-being
dc.subject.odspa03 Salud y bienestar
dc.titleComparing different metabolic indexes to predict type 2 diabetes mellitus in a five years follow-up cohort: The Baependi Heart Study
dc.typeartículo
dc.volumen17
sipa.indexWOS
sipa.trazabilidadWOS;2025-01-12
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