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

Susana Borruel, José F Moltó, Macarena Alpañés, Elena Fernández-Durán, Francisco Álvarez-Blasco, Manuel Luque-Ramírez, Héctor F Escobar-Morreale, Susana Borruel, José F Moltó, Macarena Alpañés, Elena Fernández-Durán, Francisco Álvarez-Blasco, Manuel Luque-Ramírez, Héctor F Escobar-Morreale

Abstract

Surrogate indexes of visceral adiposity, a major risk factor for metabolic and cardiovascular disorders, are routinely used in clinical practice because objective measurements of visceral adiposity are expensive, may involve exposure to radiation, and their availability is limited. We compared several surrogate indexes of visceral adiposity with ultrasound assessment of subcutaneous and visceral adipose tissue depots in 99 young Caucasian adults, including 20 women without androgen excess, 53 women with polycystic ovary syndrome, and 26 men. Obesity was present in 7, 21, and 7 subjects, respectively. We obtained body mass index (BMI), waist circumference (WC), waist-hip ratio (WHR), model of adipose distribution (MOAD), visceral adiposity index (VAI), and ultrasound measurements of subcutaneous and visceral adipose tissue depots and hepatic steatosis. WC and BMI showed the strongest correlations with ultrasound measurements of visceral adiposity. Only WHR correlated with sex hormones. Linear stepwise regression models including VAI were only slightly stronger than models including BMI or WC in explaining the variability in the insulin sensitivity index (yet BMI and WC had higher individual standardized coefficients of regression), and these models were superior to those including WHR and MOAD. WC showed 0.94 (95% confidence interval 0.88-0.99) and BMI showed 0.91 (0.85-0.98) probability of identifying the presence of hepatic steatosis according to receiver operating characteristic curve analysis. In conclusion, WC and BMI not only the simplest to obtain, but are also the most accurate surrogate markers of visceral adiposity in young adults, and are good indicators of insulin resistance and powerful predictors of the presence of hepatic steatosis.

Conflict of interest statement

Competing Interests: The authors have declared that no competing interests exist.

Figures

Figure 1. Surrogate indexes of visceral adiposity…
Figure 1. Surrogate indexes of visceral adiposity in control women (circles, n = 20), women with polycystic ovary syndrome (PCOS, diamonds, n = 53) and men (squares, n = 26) as a function of obesity (defined as BMI ≧30 kg/m2, white symbols  =  non-obese subjects, black symbols  =  obese individuals).
Data are means ± SEM and were submitted to univariate general linear models introducing groups of subjects and obesity as independent variables and age as a covariate to correct the results for a difference in age among patients with PCOS with the other groups. Obese subjects showed increased total body fat mass values when compared with non-obese individuals (P<0.001 for all indexes with the exception of MOAD, P = 0.011), irrespective of sex and PCOS. P values indicate the differences between control women, women with PCOS and men, irrespective of the presence or absence of obesity. No interaction was found between obesity and groups of subjects in any of the measurements of the indexes of visceral adiposity.
Figure 2. Surrogate indexes of visceral adiposity…
Figure 2. Surrogate indexes of visceral adiposity and BMI depending on the grade of hapatic steatosis as estimated by ultrasound in the 99 subjects included in the study, irrespective of sex, PCOS and obesity.
Hepatic steatosis was graded as follows: grade 0, normal echogenicity; grade 1, slight, diffuse increase in fine echoes in liver parenchyma with normal visualization of diaphragm and intrahepatic vessel borders; grade 2, moderate, diffuse increase in fine echoes with slightly impaired visualization of intrahepatic vessels and diaphragm; grade 3, marked increase in fine echoes with poor or nonvisualization of the intrahepatic vessel borders, diaphragm, and posterior right lobe of the liver. Data are means ± SEM and were submitted univariate general linear models introducing grade of hepatic steatosis as independent variable and age as a covariate. * All comparisons between grades of steatosis showed statistically significant differences with P<0.05 or less. † Values in grades 1, 2 and 3 were similar and higher than those observed in grade 0. ‡ Values in grades 1, 2 and 3 steatosis were higher than those observed in grade 0, and grade 2 steatosis also showed higher values compared with grade 1.
Figure 3. Receiver operating characteristic (ROC) curve…
Figure 3. Receiver operating characteristic (ROC) curve analysis of the diagnostic performance of surrogate indexes of visceral adiposity and BMI for the presence or absence of hepatic steatosis.
All ROC curves were statistically significant with P<0.001. The best area under de ROC curve was that of waist circumference (0.935±SE 0.027) which was better than those of WHR (difference 0.08, 95% confidence interval 0.01–0.16), VAI (difference 0.18, 95% confidence interval 0.10–0.26 and MOAD (difference 0.17, 95% confidence interval 0.08–0.26), but was not different than that of BMI (difference 0.02, 95% confidence interval −0.01 – to 0.05, P = 0.155). Similarly, the area under the ROC curve of BMI was better compared with those of VAI (difference 0.16, 95% confidence interval 0.08–0.24, P<0.001) and MOAD (difference 0.15, 95% confidence interval 0.04–0.26, P = 0.007) but was not different than that of WHR (difference 0.06, 95% confidence interval 0.03 – to 0.15, P = 0.176).

References

    1. Bjorntorp P (1993) Visceral obesity: a “civilization syndrome”. Obes Res 1:206–222.
    1. Kissebah AH (1991) Insulin resistance in visceral obesity. Int J Obes 15 Suppl 2109–115.
    1. Fernandez-Real JM, Ricart W (2003) Insulin resistance and chronic cardiovascular inflammatory syndrome. Endocr Rev 24:278–301.
    1. Lemieux S, Despres JP (1994) Metabolic complications of visceral obesity: contribution to the aetiology of type 2 diabetes and implications for prevention and treatment. Diabete Metab 20:375–393.
    1. Chan DC, Barrett HP, Watts GF (2004) Dyslipidemia in visceral obesity: mechanisms, implications, and therapy. Am J Cardiovasc Drugs 4:227–246.
    1. Escobar-Morreale HF, San Millan JL (2007) Abdominal adiposity and the polycystic ovary syndrome. Trends Endocrinol Metab 18:266–272.
    1. Corona G, Rastrelli G, Morelli A, Vignozzi L, Mannucci E, et al. (2011) Hypogonadism and metabolic syndrome. J Endocrinol Invest 34:557–567.
    1. Luyckx FH, Lefebvre PJ, Scheen AJ (2000) Non-alcoholic steatohepatitis: association with obesity and insulin resistance, and influence of weight loss. Diabetes Metab 26:98–106.
    1. Mathieu P, Poirier P, Pibarot P, Lemieux I, Despres JP (2009) Visceral obesity: the link among inflammation, hypertension, and cardiovascular disease. Hypertension 53:577–584.
    1. Giovannucci E, Michaud D (2007) The role of obesity and related metabolic disturbances in cancers of the colon, prostate, and pancreas. Gastroenterology 132:2208–2225.
    1. Lee M, Aronne LJ (2007) Weight management for type 2 diabetes mellitus: global cardiovascular risk reduction. Am J Cardiol 99:68B–79B.
    1. Shuster A, Patlas M, Pinthus JH, Mourtzakis M (2012) The clinical importance of visceral adiposity: a critical review of methods for visceral adipose tissue analysis. Br J Radiol 85:1–10.
    1. Alberti KG, Zimmet P, Shaw J (2005) The metabolic syndrome–a new worldwide definition. Lancet 366:1059–1062.
    1. Amato MC, Giordano C, Galia M, Criscimanna A, Vitabile S, et al. (2010) Visceral Adiposity Index: a reliable indicator of visceral fat function associated with cardiometabolic risk. Diabetes Care 33:920–922.
    1. Petta S, Amato MC, Di Marco V, Camma C, Pizzolanti G, et al. (2012) Visceral adiposity index is associated with significant fibrosis in patients with non-alcoholic fatty liver disease. Aliment Pharmacol Ther 35:238–247.
    1. Vongsuvanh R, George J, McLeod D, van der Poorten D (2012) Visceral adiposity index is not a predictor of liver histology in patients with non-alcoholic fatty liver disease. J Hepatol 57:392–398.
    1. Mohammadreza B, Farzad H, Davoud K, Fereidoun Prof AF (2012) Prognostic significance of the complex “Visceral Adiposity Index” vs. simple anthropometric measures: Tehran lipid and glucose study. Cardiovasc Diabetol 11:20.
    1. Al-Daghri NM, Al-Attas OS, Alokail MS, Alkharfy KM, Charalampidis P, et al. (2013) Visceral adiposity index is highly associated with adiponectin values and glycaemic disturbances. Eur J Clin Invest 43:183–189.
    1. Al-Daghri NM, Al-Attas OS, Alokail M, Alkharfy K, Wani K, et al. (2013) Does Visceral Adiposity Index signify early metabolic risk in children and adolescents? Association with insulin resistance, adipokines and subclinical inflammation. Pediatr Res.
    1. Elisha B, Messier V, Karelis A, Coderre L, Bernard S, et al. (2013) The Visceral Adiposity Index: Relationship with cardiometabolic risk factors in obese and overweight postmenopausal women - A MONET group study. Appl Physiol Nutr Metab 38:892–899.
    1. Mazzuca E, Battaglia S, Marrone O, Marotta AM, Castrogiovanni A, et al.. (2013) Gender-specific anthropometric markers of adiposity, metabolic syndrome and visceral adiposity index (VAI) in patients with obstructive sleep apnea. J Sleep Res.
    1. Du T, Sun X, Huo R, Yu X (2013) Visceral adiposity index, hypertriglyceridemic waist and risk of diabetes: the China Health and Nutrition Survey 2009. Int J Obes.
    1. Borruel S, Fernandez-Duran E, Alpanes M, Marti D, Alvarez-Blasco F, et al. (2013) Global adiposity and thickness of intraperitoneal and mesenteric adipose tissue depots are increased in women with polycystic ovary syndrome (PCOS). J Clin Endocrinol Metab 98:1254–1263.
    1. World Health Organization (2000) Obesity: preventing and managing the global epidemic. Report of a WHO Consultation. In: World Health Organization Monograph Series , editor. WHO Technical Report Series 894. Geneva: World Health Organization.
    1. Zawadzki JK, Dunaif A (1992) Diagnostic criteria for polycystic ovary syndrome: Towards a rational approach. In: Dunaif A, Givens JR, Haseltine FP, Merriam GReditors. Polycystic ovary syndrome. Boston: Blackwell Scientific Publications. pp. 377–384.
    1. The Rotterdam ESHRE/ASRM-sponsored PCOS consensus workshop group (2004) Revised 2003 consensus on diagnostic criteria and long-term health risks related to polycystic ovary syndrome (PCOS). Hum Reprod 19:41–47.
    1. Azziz R, Carmina E, Dewailly D, Diamanti-Kandarakis E, Escobar-Morreale HF, et al. (2006) Position statement: criteria for defining polycystic ovary syndrome as a predominantly hyperandrogenic syndrome: an Androgen Excess Society guideline. J Clin Endocrinol Metab 91:4237–4245.
    1. Escobar-Morreale HF, Lasuncion MA, Sancho J (2000) Treatment of hirsutism with ethinyl estradiol-desogestrel contraceptive pills has beneficial effects on the lipid profile and improves insulin sensitivity. Fertil Steril 74:816–819.
    1. Escobar-Morreale HF, Sanchon R, San Millan JL (2008) A prospective study of the prevalence of nonclassical congenital adrenal hyperplasia among women presenting with hyperandrogenic symptoms and signs. J Clin Endocrinol Metab 93:527–533.
    1. Matsuda M, DeFronzo RA (1999) Insulin sensitivity indices obtained from oral glucose tolerance testing: comparison with the euglycemic insulin clamp. Diabetes Care 22:1462–1470.
    1. Stolk RP, Wink O, Zelissen PM, Meijer R, van Gils AP, et al. (2001) Validity and reproducibility of ultrasonography for the measurement of intra-abdominal adipose tissue. Int J Obes Relat Metab Disord 25:1346–1351.
    1. Kim SK, Kim HJ, Hur KY, Choi SH, Ahn CW, et al. (2004) Visceral fat thickness measured by ultrasonography can estimate not only visceral obesity but also risks of cardiovascular and metabolic diseases. The American Journal of Clinical Nutrition 79:593–599.
    1. Ribeiro-Filho FF, Faria AN, Kohlmann O Jr, Ajzen S, Ribeiro AB, et al. (2001) Ultrasonography for the Evaluation of Visceral Fat and Cardiovascular Risk. Hypertension 38:713–717.
    1. Liu KH, Chan YL, Chan WB, Kong WL, Kong MO, et al. (2003) Sonographic measurement of mesenteric fat thickness is a good correlate with cardiovascular risk factors: comparison with subcutaneous and preperitoneal fat thickness, magnetic resonance imaging and anthropometric indexes. Int J Obes Relat Metab Disord 27:1267–1273.
    1. Ahn SG, Lim HS, Joe DY, Kang SJ, Choi BJ, et al. (2008) Relationship of epicardial adipose tissue by echocardiography to coronary artery disease. Heart 94:e7.
    1. Saadeh S, Younossi ZM, Remer EM, Gramlich T, Ong JP, et al. (2002) The utility of radiological imaging in nonalcoholic fatty liver disease. Gastroenterology 123:745–750.
    1. Ferrannini E, Sironi AM, Iozzo P, Gastaldelli A (2008) Intra-abdominal adiposity, abdominal obesity, and cardiometabolic risk. Eur Heart J Suppl 10 B4–B10.

Source: PubMed

3
Abonner