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

dc.contributor
Universitat Ramon Llull. IQS
dc.contributor.author
De Oliveira, Camila Maciel
dc.contributor.author
Pavani, Jessica
dc.contributor.author
Liu, Chunyu
dc.contributor.author
Balcells, Mercedes
dc.contributor.author
Capasso, Robson
dc.contributor.author
De Oliveira Alvim, Rafael
dc.contributor.author
Mourao-Junior, Carlos Alberto
dc.contributor.author
Krieger, José Eduardo
dc.contributor.author
Costa Pereira, Alexandre
dc.date.issued
2022
dc.identifier.issn
1932-6203
dc.identifier.uri
http://hdl.handle.net/20.500.14342/4455
dc.description.abstract
This 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.format.extent
p.9
dc.language.iso
eng
dc.publisher
Public Library Science
dc.relation.ispartof
PLoS ONE 17(6): e0267723
dc.rights
© L'autor/a
dc.rights
Attribution 4.0 International
dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
dc.subject
Diabetes
dc.subject
Anthropometry
dc.subject
Diabetis
dc.subject
Antropometria
dc.title
Comparing different metabolic indexes to predict type 2 diabetes mellitus in a five years follow-up cohort: The Baependi Heart Study
dc.type
info:eu-repo/semantics/article
dc.subject.udc
572
dc.subject.udc
616.3
dc.description.version
info:eu-repo/semantics/publishedVersion
dc.embargo.terms
cap
dc.relation.projectID
info:eu-repo/grantAgreement/SUS-PROADI/Hospital Samaritano Society/Grant no. 25000.180.664/2011-35
dc.relation.projectID
info:eu-repo/grantAgreement/MEIC/PN I+D/SAF2017-84773-C2-1-R
dc.relation.projectID
info:eu-repo/grantAgreement/NIH/NHLBI/R01HL141881
dc.identifier.doi
https://doi.org/10.1371/journal.pone.0267723
dc.rights.accessLevel
info:eu-repo/semantics/openAccess


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