TY - JOUR
T1 - Comparing different metabolic indexes to predict type 2 diabetes mellitus in a five years follow-up cohort
T2 - The Baependi Heart Study
AU - de Oliveira, Camila Maciel
AU - Pavani, Jessica Leticia
AU - Liu, Chunyu
AU - Balcells, Mercedes
AU - Capasso, Robson
AU - de Oliveira Alvim, Rafael
AU - Mourão-Júnior, Carlos Alberto
AU - Krieger, José Eduardo
AU - Pereira, Alexandre Costa
N1 - Funding Information:
The current research was supported by grants from NIH/NHLBI (R01HL141881), São Paulo Research Foundation (FAPESP), and Hospital Samaritano Society (grant no. 25000.180.664/2011-35) through the Ministry of Health to Support Program Institutional Development of the Unified Health System (SUSPROADI). M.B. was partially funded by Spain Minister of Economy (SAF2017-84773-C2-1-R), Fundacion Empreses IQS, and the Global CoCreation Lab, Inc (Miami, FL).] There was no additional external funding received for this study. The funders had no role in study design, data collection, and analysis, decision to publish, or preparation of the manuscript. We are grateful to the staff for data collection in the Baependi Heart Study. We also thank all the cohort participants over 15 years of follow-up.
Publisher Copyright:
Copyright: © 2022 de Oliveira et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
PY - 2022/6
Y1 - 2022/6
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85131702219&partnerID=8YFLogxK
UR - http://hdl.handle.net/20.500.14342/4455
U2 - 10.1371/journal.pone.0267723
DO - 10.1371/journal.pone.0267723
M3 - Article
C2 - 35657786
AN - SCOPUS:85131702219
SN - 1932-6203
VL - 17
JO - PLoS ONE
JF - PLoS ONE
IS - 6 June
M1 - e0267723
ER -