Comparing different metabolic indexes to predict type 2 diabetes mellitus in a five years follow-up cohort: The Baependi Heart Study
Visualitza/Obre
Autor/a
De Oliveira, Camila Maciel
Pavani, Jessica
Liu, Chunyu
Balcells Camps, Mercedes
Capasso, Robson
De Oliveira Alvim, Rafael
Mourao-Junior, Carlos Alberto
Krieger, José Eduardo
Costa Pereira, Alexandre
Altres autors/es
Universitat Ramon Llull. IQS
Data de publicació
2022ISSN
1932-6203
Resum
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.
Tipus de document
Article
Versió del document
Versió publicada
Llengua
English
Matèries (CDU)
572 - Antropologia
616.3 - Patologia de l'aparell digestiu. Odontologia
Paraules clau
Diabetes
Anthropometry
Diabetis
Antropometria
Pàgines
p.9
Publicat per
Public Library Science
Publicat a
PLoS ONE 17(6): e0267723
Número de l'acord de la subvenció
info:eu-repo/grantAgreement/SUS-PROADI/Hospital Samaritano Society/Grant no. 25000.180.664/2011-35
info:eu-repo/grantAgreement/MEIC/PN I+D/SAF2017-84773-C2-1-R
info:eu-repo/grantAgreement/NIH/NHLBI/R01HL141881
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