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Visceral adiposity index outperforms common anthropometric indices in predicting 10-year diabetes risk: Results from the ATTICA study.

Authors :
Koloverou, Efi
Panagiotakos, Demosthenes B.
Kyrou, Ioannis
Stefanadis, Christodoulos
Chrysohoou, Christina
Georgousopoulou, Ekavi N.
Skoumas, Ioannis
Tousoulis, Dimitrios
Pitsavos, Christos
ATTICA Study group
Source :
Diabetes/Metabolism Research & Reviews; Sep2019, Vol. 35 Issue 6, pN.PAG-N.PAG, 1p
Publication Year :
2019

Abstract

<bold>Background: </bold>Visceral adiposity index (VAI) is a novel marker of visceral adipose tissue accumulation and dysfunction. The study aim was to explore the association of VAI with the 10-year type 2 diabetes mellitus (T2DM) incidence in apparently healthy individuals and compare its T2DM predictive ability against common anthropometric indices.<bold>Methods: </bold>In 2001 to 2002, the ATTICA study (Greece) recruited a random sample of 1514 and 1528 CVD-free men (18-87 years old) and women (18-89 years old), respectively. Sociodemographic, lifestyle, clinical, and biochemical characteristics of participants were measured at baseline, and the 10-year follow-up was performed during 2011 to 2012. After excluding participants with diabetes at baseline and participants without complete follow-up information regarding diabetes status and/or baseline VAI values, the working sample consisted of 1049 participants. In this sample, the predictive value of baseline VAI value was studied in relation to 10-year diabetes incidence.<bold>Results: </bold>One hundred thirty-three incident cases of diabetes were documented (10-year incidence: 12.7%). In the fully adjusted model, VAI significantly increased diabetes risk by 22% (OR per 1-unit increase =1.22; 95%CI, 1.09-1.37). Markers of oxidative stress and inflammation were found to, at least partly, mediate this relationship. Also, a moderating effect of menstruation status was revealed among women. VAI showed the highest predictive ability and contributed the most, along with waist-to-height ratio, to the correct classification of participants who developed diabetes.<bold>Conclusions: </bold>The present findings suggest that VAI may be a useful index for predicting long-term diabetes development and may exhibit better predictive ability to commonly used anthropometric indices. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
15207552
Volume :
35
Issue :
6
Database :
Complementary Index
Journal :
Diabetes/Metabolism Research & Reviews
Publication Type :
Academic Journal
Accession number :
138393851
Full Text :
https://doi.org/10.1002/dmrr.3161