Download PDF
Exp Clin Endocrinol Diabetes 2018; 126(10): 596-603
DOI: 10.1055/s-0043-120440
Article
© Georg Thieme Verlag KG Stuttgart · New York

Visceral Adiposity Index was a useful Predictor of Prediabetes

Dongfeng Gu   *
1   Department of Nephrology and Transplantation Center, The People’s Hospital of Zhengzhou, Affiliated with Southern Medical University, Zhengzhou 450003, P.R. China
,
Yanan Ding   *
2   Division of Cardiovascular Medicine, The People’s Hospital of Zhengzhou, Affiliated with Southern Medical University, Zhengzhou 450003, P.R. China
,
Yunfeng Zhao
1   Department of Nephrology and Transplantation Center, The People’s Hospital of Zhengzhou, Affiliated with Southern Medical University, Zhengzhou 450003, P.R. China
,
Qingshan Qu
1   Department of Nephrology and Transplantation Center, The People’s Hospital of Zhengzhou, Affiliated with Southern Medical University, Zhengzhou 450003, P.R. China
› Author Affiliations
Further Information

Publication History

received 20 June 2017
revised 26 August 2017

accepted 27 September 2017

Publication Date:
08 November 2017 (online)

Also available at
    Permissions and Reprints

Abstract

Aim To study the relationship of visceral adiposity index (VAI) and prediabetes and the power of which in predicting of prediabetes.

Methods A cross-sectional epidemiological survey was conducted. All participants were divided into four groups: VAI and WC (both are normal), VAI↑ and WC (postcritical VAI and normal WC), VAI and WC↑ (Normal VAI and postcritical WC), and VAI↑ and WC↑ (postcritical VAI and postcritical WC). A multivariate logistic analysis was used to analyze the relationship between the four groups and prediabetes, and diabetes. A receiver operating characteristic (ROC) curve analysis was used to evaluate the accuracy of predictions for prediabetes and diabetes.

Results Both VAI and WC were independent risk factors of Prediabetes. The ORs for Prediabetes in the VAI↑&WC group were 1.641 (95%CI 1.146–2.349), P=0.007, in males, in Model 2. The ORs for Prediabetes in the VAI&WC↑ group were 1.454 (95%CI 1.055–2.005), P=0.022, in males, in Model 2. The ORs for Prediabetes in the VAI↑&WC group were 2.305 (95%CI 1.623–3.273), P=0.000, in females, in Model 2. The ORs for Prediabetes in the VAI&WC↑ group were 1.997 (95%CI 1.529–2.608), P=0.000, in females, in Model 2. The AUC value of VAI were 0.601 (95%CI 0.568–0.634), P=0.000, in prediabetes of men; which were 0.645 (95%CI 0.618–0.672), P=0.000, in prediabetes women. WC had the highest AUC value of 0.605 (95%CI 0.571–0.638), P=0.000, in prediabetes of men, also had the highest of AUC value of 0.673 (95%CI 0.648–0.697), P=0.000, in prediabetes of women.

Conclusion VAI was positively associated with prediabetes, and also a usefulindicator of prediabetes.

Key words

visceral adiposity index - waist circumference - prediabetes - diabetes

* These authors contributed equally to this project


 

  • References

  • 1 Tabak AG, Herder C, Rathmann W. et al. Prediabetes: A high-risk state for diabetes development. Lancet 2012; 379: 2279-2290
    CrossrefPubMedGoogle Scholar
  • 2 Nathan DM, Davidson MB, DeFronzo RA. et al. Impaired fasting glucose and impaired glucose tolerance: Implications for care. Diabetes care 2007; 30: 753-759
    CrossrefPubMedGoogle Scholar
  • 3 Forouhi NG, Luan J, Hennings S. et al. Incidence of type 2 diabetes in england and its association with baseline impaired fasting glucose: The ely study 1990-2000. Diabet Med 2007; 24: 200-207
    CrossrefPubMedGoogle Scholar
  • 4 Nichols GA, Hillier TA, Brown JB.. Progression from newly acquired impaired fasting glusose to type 2 diabetes. Diabetes Care 2007; 30: 228-233
    CrossrefPubMedGoogle Scholar
  • 5 Yang W, Lu J, Weng J. et al. Prevalence of diabetes among men and women in china. N Engl J Med 2010; 362: 1090-1101
    CrossrefPubMedGoogle Scholar
  • 6 Gu DF, Shi YL, Chen YM. et al. Prevalence of chronic kidney disease and prediabetes and associated risk factors: A community-based screening in zhuhai, Southern China. Chinese medical journal 2013; 126: 1213-1219
    PubMedGoogle Scholar
  • 7 Seshasai SR, Kaptoge S, Thompson A. et al. Diabetes mellitus, fasting glucose, and risk of cause-specific death. N Engl J Med 2011; 364: 829-841
    CrossrefPubMedGoogle Scholar
  • 8 Tesfaye S, Boulton AJ, Dyck PJ. et al. Diabetic neuropathies: Update on definitions, diagnostic criteria, estimation of severity, and treatments. Diabetes care 2010; 33: 2285-2293
    CrossrefPubMedGoogle Scholar
  • 9 Sarwar N, Gao P, Seshasai SR. et al. Diabetes mellitus, fasting blood glucose concentration, and risk of vascular disease: A collaborative meta-analysis of 102 prospective studies. Lancet 2010; 375: 2215-2222
    CrossrefPubMedGoogle Scholar
  • 10 Plantinga LC, Crews DC, Coresh J. et al. Prevalence of chronic kidney disease in US adults with undiagnosed diabetes or prediabetes. Clin J Am Soc Nephrol 2010; 5: 673-682
    CrossrefPubMedGoogle Scholar
  • 11 Nguyen TT, Wang JJ, Wong TY. Retinal vascular changes in pre-diabetes and prehypertension: New findings and their research and clinical implications. Diabetes care 2007; 30: 2708-2715
    CrossrefPubMedGoogle Scholar
  • 12 Gabir MM, Hanson RL, Dabelea D. et al. Plasma glucose and prediction of microvascular disease and mortality: Evaluation of 1997 american diabetes association and 1999 world health organization criteria for diagnosis of diabetes. Diabetes care 2000; 23: 1113-1118
    CrossrefPubMedGoogle Scholar
  • 13 Neeland IJ, Turer AT, Ayers CR. et al. Dysfunctional adiposity and the risk of prediabetes and type 2 diabetes in obese adults. Jama 2012; 308: 1150-1159
    CrossrefPubMedGoogle Scholar
  • 14 Nazare JA, Smith JD, Borel AL. et al. Ethnic influences on the relations between abdominal subcutaneous and visceral adiposity, liver fat, and cardiometabolic risk profile: The international study of prediction of intra-abdominal adiposity and its relationship with cardiometabolic risk/intra-abdominal adiposity. The American journal of clinical nutrition 2012; 96: 714-726
    CrossrefPubMedGoogle Scholar
  • 15 Amato MC, Giordano C, Galia M. et al. Visceral adiposity index: A reliable indicator of visceral fat function associated with cardiometabolic risk. Diabetes care 2010; 33: 920-922
    CrossrefPubMedGoogle Scholar
  • 16 Amato MC, Giordano C. Visceral adiposity index: An indicator of adipose tissue dysfunction. International journal of endocrinology 2014; 2014:
    PubMed
  • 17 Chen C, Xu Y, Guo ZR. et al. The application of visceral adiposity index in identifying type 2 diabetes risks based on a prospective cohort in china. Lipids in health and disease 2014; 13: 108
    CrossrefPubMedGoogle Scholar
  • 18 Du T, Sun X, Huo R. et al. Visceral adiposity index, hypertriglyceridemic waist and risk of diabetes: The china health and nutrition survey 2009. Int J Obes (Lond) 2014; 38: 840-847
    CrossrefPubMedGoogle Scholar
  • 19 Wang Y, He S, He J et al. Predictive value of visceral adiposity index for type 2 diabetes mellitus : A 15-year prospective cohort study. Herz 2014
    PubMed
  • 20 Association AD . Standards of medical care in diabetes-2011. Diabetes Care 2011; 34 Suppl 1 S11-61
    CrossrefPubMedGoogle Scholar
  • 21 Despres JP, Lemieux I. Abdominal obesity and metabolic syndrome. Nature 2006; 444: 881-887
    Google Scholar
  • 22 Wilms B, Ernst B, Thurnheer M. et al. Type 2 diabetes is associated with lower cardiorespiratory fitness independent of pulmonary function in severe obesity. Exp Clin Endocrinol Diabetes 2017; 125: 301-306
    Article in Thieme ConnectPubMedGoogle Scholar
  • 23 DeNino WF, Tchernof A, Dionne IJ. et al. Contribution of abdominal adiposity to age-related differences in insulin sensitivity and plasma lipids in healthy nonobese women. Diabetes care 2001; 24: 925-932
    CrossrefPubMedGoogle Scholar
  • 24 Jones DA, Prior SL, Barry JD. et al. Changes in markers of oxidative stress and DNA damage in human visceral adipose tissue from subjects with obesity and type 2 diabetes. Diabetes research and clinical practice 2014; 106: 627-633
    CrossrefPubMedGoogle Scholar
  • 25 Al-Daghri NM, Al-Attas OS, Alokail MS. et al. Visceral adiposity index is highly associated with adiponectin values and glycaemic disturbances. European journal of clinical investigation 2013; 43: 183-189
    CrossrefPubMedGoogle Scholar
  • 26 Giordano C, Guarnotta V, Pivonello R. et al. Is diabetes in cushing's syndrome only a consequence of hypercortisolism?. Eur J Endocrinol 2014; 170: 311-319
    CrossrefPubMedGoogle Scholar
  • 27 Shah RV, Murthy VL, Abbasi SA. et al. Visceral adiposity and the risk of metabolic syndrome across body mass index: The mesa study. JACC Cardiovascular imaging 2014; 7: 1221-1235
    PubMedGoogle Scholar
  • 28 Knowles KM, Paiva LL, Sanchez SE et al. Waist circumference, body mass index, and other measures of adiposity in predicting cardiovascular disease risk factors among peruvian adults. International journal of hypertension 2011; 2011:931402
    PubMed
  • 29 Yang F, Wang G, Wang Z. et al. Visceral adiposity index may be a surrogate marker for the assessment of the effects of obesity on arterial stiffness. PloS one 2014; 9: e104365
    CrossrefPubMedGoogle Scholar
  • 30 Janghorbani M, Amini M. The visceral adiposity index in comparison with easily measurable anthropometric markers did not improve prediction of diabetes. Canadian journal of diabetes 2016; 40: 393-398
    CrossrefPubMedGoogle Scholar
  • 31 Borruel S, Molto JF, Alpanes M. et al. Surrogate markers of visceral adiposity in young adults: Waist circumference and body mass index are more accurate than waist hip ratio, model of adipose distribution and visceral adiposity index. PloS one 2014; 9: e114112
    CrossrefPubMedGoogle Scholar
  • 32 Pacifico L, Di Martino M, Anania C. et al. Pancreatic fat and beta-cell function in overweight/obese children with nonalcoholic fatty liver disease. World journal of gastroenterology 2015; 21: 4688-4695
    CrossrefPubMedGoogle Scholar
  • 33 Cao ZQ, Zhu L, Zhang T. et al. Blood pressure and obesity among adolescents: A school-based population study in china. American journal of hypertension 2012; 25: 576-582
    CrossrefPubMedGoogle Scholar
  • 34 Hu D, Xie J, Fu P. et al. Central rather than overall obesity is related to diabetes in the chinese population: The interasia study. Obesity (Silver Spring) 2007; 15: 2809-2816
    CrossrefPubMedGoogle Scholar
  • 35 Loef M, Walach H. Midlife obesity and dementia: Meta-analysis and adjusted forecast of dementia prevalence in the united states and china. Obesity (Silver Spring) 2013; 21: E51-55
    CrossrefPubMedGoogle Scholar
  • 36 Reynolds K, Gu D, Whelton PK. et al. Prevalence and risk factors of overweight and obesity in china. Obesity (Silver Spring) 2007; 15: 10-18
    CrossrefPubMedGoogle Scholar
  • 37 Gallagher D, Heshka S, Kelley DE. et al. Changes in adipose tissue depots and metabolic markers following a 1-year diet and exercise intervention in overweight and obese patients with type 2 diabetes. Diabetes care 2014; 37: 3325-3332
    CrossrefPubMedGoogle Scholar
  • 38 Tibana RA, Franco OL, Pereira RW. et al. Exercise as an effective transgenerational strategy to overcome metabolic syndrome in the future generation: Are we there?. Exp Clin Endocrinol Diabetes 2017; 125: 347-352
    Article in Thieme ConnectPubMedGoogle Scholar