The Application of Visceral Adiposity Index in Identifying Type 2 Diabetes Risks Based on a Prospective Cohort in China

Overview

Journal Lipids Health Dis

Publisher Biomed Central

Specialties Biochemistry
Endocrinology

Date 2014 Jul 9

PMID 25002013

Citations 34

Authors

Chen Chen

Yan Xu

Zhi-Rong Guo

Jie Yang

Ming Wu

Xiao-Shu Hu

Affiliations

Soon will be listed here.

Abstract

Background: Visceral adiposity index (VAI), a novel sex-specific index for visceral fat measurement, has been proposed recently. We evaluate the efficacy of VAI in identifying diabetes risk in Chinese people, and compare the predictive ability between VAI and other body fatness indices, i.e., waist circumference (WC), body mass index (BMI) and waist- to- height ratio (WHtR).

Methods: Participants (n=3,461) were recruited from an ongoing cohort study in Jiangsu Province, China. Hazard ratio (HR) and corresponding 95% confidence interval (CI) between diabetes risk and different body fatness indices were evaluated by Cox proportional hazard regression model. Receiver operating characteristic (ROC) curve and area under curve (AUC) were applied to compare the ability of identifying diabetes risk between VAI, WC, WHtR and BMI.

Results: A total number of 160 new diabetic cases occurred during the follow-up, with an incidence of 4.6%. Significant positive associations were observed for VAI with blood pressure, fasting plasma glucose, triglyceride, WC, BMI and WHtR. Moreover, increased VAI was observed to be associated with higher diabetes risk with a positive dose-response trend (p for trend<0.001). As compared to individuals with the lowest VAI, those who had the highest VAI were at 2.55-fold risk of diabetes (95% CI: 1.58-4.11). The largest AUC was observed for VAI, following by WC, WHtR and BMI.

Conclusions: VAI is positively associated with the risk of diabetes. Compared to other indices for body fatness measurements, VAI is a better and convenience surrogate marker for visceral adipose measurement and could be used in identifying the risk of diabetes in large-scale epidemiologic studies.

Citing Articles

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References

Zhou B . [Predictive values of body mass index and waist circumference to risk factors of related diseases in Chinese adult population]. Zhonghua Liu Xing Bing Xue Za Zhi. 2002; 23(1):5-10. View

Harati H, Hadaegh F, Saadat N, Azizi F . Population-based incidence of Type 2 diabetes and its associated risk factors: results from a six-year cohort study in Iran. BMC Public Health. 2009; 9:186. PMC: 2708154. DOI: 10.1186/1471-2458-9-186. View

Masuzaki H, Paterson J, Shinyama H, Morton N, Mullins J, Seckl J . A transgenic model of visceral obesity and the metabolic syndrome. Science. 2001; 294(5549):2166-70. DOI: 10.1126/science.1066285. View

Herman W . Diabetes epidemiology: guiding clinical and public health practice: the Kelly West Award Lecture, 2006. Diabetes Care. 2007; 30(7):1912-9. DOI: 10.2337/dc07-9924. View

Boden G, Shulman G . Free fatty acids in obesity and type 2 diabetes: defining their role in the development of insulin resistance and beta-cell dysfunction. Eur J Clin Invest. 2002; 32 Suppl 3:14-23. DOI: 10.1046/j.1365-2362.32.s3.3.x. View

DeNino W, Tchernof A, Dionne I, Toth M, Ades P, Sites C . Contribution of abdominal adiposity to age-related differences in insulin sensitivity and plasma lipids in healthy nonobese women. Diabetes Care. 2001; 24(5):925-32. DOI: 10.2337/diacare.24.5.925. View

Lesser I, Gasevic D, Lear S . The effect of body fat distribution on ethnic differences in cardiometabolic risk factors of Chinese and Europeans. Appl Physiol Nutr Metab. 2013; 38(7):701-6. DOI: 10.1139/apnm-2012-0125. View

Yang W, Lu J, Weng J, Jia W, Ji L, Xiao J . Prevalence of diabetes among men and women in China. N Engl J Med. 2010; 362(12):1090-101. DOI: 10.1056/NEJMoa0908292. View

Fontana L, Eagon J, Trujillo M, Scherer P, Klein S . Visceral fat adipokine secretion is associated with systemic inflammation in obese humans. Diabetes. 2007; 56(4):1010-3. DOI: 10.2337/db06-1656. View

10.

Hu X, Guo Z, Zhou H, Shi Z, Wu M, Zhang J . [Study on the prevalence of metabolic syndrome among 35-74 year-olds in Jiangsu province]. Zhonghua Liu Xing Bing Xue Za Zhi. 2007; 27(9):751-6. View

11.

Ciresi A, Amato M, Pizzolanti G, Giordano Galluzzo C . Visceral adiposity index is associated with insulin sensitivity and adipocytokine levels in newly diagnosed acromegalic patients. J Clin Endocrinol Metab. 2012; 97(8):2907-15. DOI: 10.1210/jc.2012-1518. View

12.

Amato M, Giordano C, Galia M, Criscimanna A, Vitabile S, Midiri M . Visceral Adiposity Index: a reliable indicator of visceral fat function associated with cardiometabolic risk. Diabetes Care. 2010; 33(4):920-2. PMC: 2845052. DOI: 10.2337/dc09-1825. View

13.

Luo W, Guo Z, Hu X, Zhou Z, Wu M, Zhang L . 2 years change of waist circumference and body mass index and associations with type 2 diabetes mellitus in cohort populations. Obes Res Clin Pract. 2013; 7(4):e290-6. DOI: 10.1016/j.orcp.2012.02.005. View

14.

Matsuda M, Shimomura I . Increased oxidative stress in obesity: implications for metabolic syndrome, diabetes, hypertension, dyslipidemia, atherosclerosis, and cancer. Obes Res Clin Pract. 2014; 7(5):e330-41. DOI: 10.1016/j.orcp.2013.05.004. View

15.

Lear S, Chen M, Frohlich J, Birmingham C . The relationship between waist circumference and metabolic risk factors: cohorts of European and Chinese descent. Metabolism. 2002; 51(11):1427-32. DOI: 10.1053/meta.2002.34042. View

16.

He H, Zhao Z, Pu Y, Chen J, Ni Y, Zhong J . [Relationship of different types of abdominal obesity to risk of metabolic syndrome]. Zhonghua Yi Xue Za Zhi. 2008; 88(18):1251-4. View

17.

Leite S, Anderson R, Kendall D, Monk A, Bergenstal R . A1C predicts type 2 diabetes and impaired glucose tolerance in a population at risk: the community diabetes prevention project. Diabetol Metab Syndr. 2009; 1(1):5. PMC: 2761297. DOI: 10.1186/1758-5996-1-5. View

18.

Luo W, Guo Z, Hu X, Zhou Z, Mingwu , Zhang L . A prospective study on association between 2 years change of waist circumference and incident hypertension in Han Chinese. Int J Cardiol. 2012; 167(6):2781-5. DOI: 10.1016/j.ijcard.2012.07.003. View

19.

Oh J, Sung Y, Lee H . The visceral adiposity index as a predictor of insulin resistance in young women with polycystic ovary syndrome. Obesity (Silver Spring). 2013; 21(8):1690-4. DOI: 10.1002/oby.20096. View

20.

Haslam D, James W . Obesity. Lancet. 2005; 366(9492):1197-209. DOI: 10.1016/S0140-6736(05)67483-1. View