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

Background: Diabetes mellitus is a metabolic disease known by chronic hyperglycemia which results from defective insulin action and secretion. Metabolic Syndrome consists of a constellation of metabolic abnormalities that confer increased risk of diabetes mellitus. The aim of our study is to find out whether non-invasive, clinically measurable surrogates could be useful in identifying body fat distribution and help predict metabolic syndrome and diabetes risk and to compare the performance of anthropometric indices with lipid indices in identifying metabolic syndrome and diabetes. Methods: 50 individuals with metabolic syndrome ,50 individuals with type 2 diabetes mellitus and 50 controls were selected by purposive sampling technique. For cases and controls history was taken, physical examination was done .Fasting blood sugar, Serum High density lipoprotein and Serum Triglyceride levels were estimated. Body mass index, a body shape index, visceral adiposity index, lipid accumulation factor was calculated. Results: The mean values visceral adiposity index, lipid accumulation factor were significantly increased (p<0.001) in cases compared to controls. Conclusion: Our study concluded that lipid indices visceral adiposity index, lipid accumulation factor is better than anthropometric indices like body mass index, a body shape index in predicting metabolic syndrome and type 2 diabetes mellitus. Anthropometric indices when used should be correlated with metabolic variables and clinical symptoms.

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Relationships of Visceral Adiposity Index and Body Shape Index with Diabetes Mellitus Risks in Chinese Adults (P21-037-19)

Current Developments in Nutrition ◽

10.1093/cdn/nzz041.p21-037-19 ◽

2019 ◽

Vol 3 (Supplement_1) ◽

Author(s):

Junxiang Wei ◽

Xin Liu ◽

Zumin Shi

Keyword(s):

Body Shape ◽

Multivariate Logistic Regression Analysis ◽

Shape Index ◽

Diabetes Risk ◽

Visceral Adiposity ◽

Visceral Adiposity Index ◽

Chinese Adults ◽

Roc Curve Analysis ◽

Men And Women ◽

Adiposity Index

Abstract Objectives We aimed to evaluate the association between Chinese visceral adiposity index (CVAI), a body shape index (ABSI) and diabetes in Chinese adults; we further assessed the predictive capacity of CVAI/ABSI for diabetes by comparing with various anthropometric adiposity indices. Methods We used the data of 5838 Chinese men and women aged ≥18 years from the China Health and Nutrition Survey 2009. Subjects were divided into subgroups according to CVAI and ABSI quartiles. Multivariate logistic regression analysis was performed to examine the independent associations between CVAI/ABSI and diabetes; we assessed the predictive power of the two indexes using the receiver-operating characteristic (ROC) curve analysis. Results Both CAVI and ABSI were positively associated with diabetes. In multivariable model, the odds ratios (ORs) (95% confidence intervals) for diabetes across quartiles of CAVI were, 1.00, 1.9 (1.1–3.3), 2.3 (1.4–3.9), and 4.9 (2.9–8.1) in men and 1.00, 3.0 (1.1–8.2), 7.7 (2.9–21.0) and 14.2 (5.3–38.2) in women, respectively. The corresponding figures across quartiles of ABSI were 1.00, 1.2 (0.8–1.9), 1.6 (1.1–2.4) and 1.8 (1.2–2.8) in men, and 1.00, 1.2 (0.7–1.9), 1.7 (1.1–2.7) and 2.0 (1.3–3.1) in women, respectively. The area under ROC (AUC) for CVAI was the highest among all examined indices including ABSI, BMI and WC, with AUCs of 0.729 (0.696–0.762) and 0.794 (0.767–0.818) for identifying diabetes risk in men and women, respectively. ABSI had a similar AUC as BMI. Conclusions Higher CVAI and ABSI scores are independently associated with diabetes risk; The CVAI is a better indicator of diabetes than BMI, waist circumference and ABSI in Chinese adults. Funding Sources None. Supporting Tables, Images and/or Graphs

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Visceral adiposity index and DHEAS are useful markers of diabetes risk in women with polycystic ovary syndrome

Acta Endocrinologica ◽

10.1530/eje-14-0600 ◽

2015 ◽

Vol 172 (1) ◽

pp. 79-88 ◽

Cited By ~ 15

Author(s):

M C Amato ◽

A Magistro ◽

G Gambino ◽

R Vesco ◽

C Giordano

Keyword(s):

Polycystic Ovary Syndrome ◽

Glucose Tolerance ◽

Fasting Glucose ◽

Polycystic Ovary ◽

Diabetes Risk ◽

Visceral Adiposity ◽

Visceral Adiposity Index ◽

Ovary Syndrome ◽

Adiposity Index ◽

C Statistic

ObjectiveOn the basis of the known diabetes risk in polycystic ovary syndrome (PCOS), recent guidelines of the Endocrine Society recommend the use of an oral glucose tolerance test (OGTT) to screen for impaired glucose tolerance (IGT) and type 2 diabetes (T2DM) in all women with PCOS. However, given the high prevalence of PCOS, OGTT would have a high cost–benefit ratio. In this study, we identified, through a receiver operating characteristic analysis, simple predictive markers of the composite endpoint (impaired fasting glucose (IFG) or IGT or IFG+IGT or T2DM) in women with PCOS according to the Rotterdam criteria.DesignWe conducted a cross-sectional study of 241 women with PCOS in a university hospital setting.MethodsClinical, anthropometric, and metabolic (including OGTT) parameters were evaluated. The homeostasis model assessment of insulin resistance (HOMA2-IR), the Matsuda index of insulin sensitivity, and the oral dispositional index and visceral adiposity index (VAI) were determined.ResultsOut of 241 women included in this study, 28 (11.6%) had an IFG, 13 (5.4%) had IGT, four (1.7%) had IFG+IGT, and four (1.7%) had T2DM. Among the anthropometric variables examined, the VAI had a significantly higher C-statistic compared with BMI (0.760 (95% CI: 0.70–0.81) vs 0.613 (95% CI: 0.54–0.67);P=0.014) and waist circumference (0.760 (95% CI: 0.70–0.81) vs 0.619 (95% CI: 0.55–0.68);P=0.028). Among all the hormonal and metabolic serum variables examined, DHEAS showed the highest C-statistic (0.720 (95% CI: 0.65–0.77);P<0.001).ConclusionsIn addition to fasting glucose, the VAI and DHEAS may be considered useful tools for prescreening in all women with PCOS without the classical risk factors for diabetes.

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The Visceral Adiposity Index Predicts Cardiovascular Events Both in Cardiovascular Disease Patients With and in Those Without Diabetes

Diabetes ◽

10.2337/db18-2091-p ◽

2018 ◽

Vol 67 (Supplement 1) ◽

pp. 2091-P

Author(s):

CHRISTOPH H. SAELY ◽

ALEXANDER VONBANK ◽

CHRISTINE HEINZLE ◽

DANIELA ZANOLIN ◽

BARBARA LARCHER ◽

...

Keyword(s):

Cardiovascular Disease ◽

Cardiovascular Events ◽

Visceral Adiposity ◽

Visceral Adiposity Index ◽

Adiposity Index

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Impact of high visceral adiposity index associated with metabolic syndrome on erectile function in sexually active men: results of a cross‐sectional study

International Journal of Clinical Practice ◽

10.1111/ijcp.14111 ◽

2021 ◽

Author(s):

Mustafa Suat Bolat ◽

Mustafa Latif Ozbek ◽

Bekir Şahin ◽

Merve Yılmaz ◽

Fatih Kocamanoglu ◽

...

Keyword(s):

Metabolic Syndrome ◽

Erectile Function ◽

Cross Sectional Study ◽

Visceral Adiposity ◽

Visceral Adiposity Index ◽

Sexually Active ◽

Sectional Study ◽

Cross Sectional ◽

Adiposity Index

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The Role of Visceral Adiposity Index as Predictor of Metabolic Syndrome in Obese and Nonobese Women with Polycystic Ovary Syndrome

Metabolic Syndrome and Related Disorders ◽

10.1089/met.2020.0045 ◽

2020 ◽

Author(s):

Sebastião Freitas de Medeiros ◽

Matheus Antônio Souto de Medeiros ◽

Bruna Barcelo Barbosa ◽

Márcia Marly Winck Yamamoto

Keyword(s):

Metabolic Syndrome ◽

Polycystic Ovary Syndrome ◽

Polycystic Ovary ◽

Visceral Adiposity ◽

Visceral Adiposity Index ◽

Ovary Syndrome ◽

Adiposity Index

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P79 Visceral Adiposity Index is a Better Predictor of Type 2 Diabetes than Body Mass Index in the Qatari Population

Journal of Nutrition Education and Behavior ◽

10.1016/j.jneb.2020.04.125 ◽

2020 ◽

Vol 52 (7) ◽

pp. S53-S54

Author(s):

Hiba Bawadi ◽

Aysha Al-Khalaqi ◽

Fatima Al-Naimi ◽

Rouda Qassmi ◽

Zumin Shi

Keyword(s):

Type 2 Diabetes ◽

Body Mass Index ◽

Body Mass ◽

Visceral Adiposity ◽

Visceral Adiposity Index ◽

Adiposity Index

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Associations of Heavy Metals with Metabolic Syndrome and Anthropometric Indices

Nutrients ◽

10.3390/nu12092666 ◽

2020 ◽

Vol 12 (9) ◽

pp. 2666 ◽

Cited By ~ 1

Author(s):

Wei-Lun Wen ◽

Chih-Wen Wang ◽

Da-Wei Wu ◽

Szu-Chia Chen ◽

Chih-Hsing Hung ◽

...

Keyword(s):

Heavy Metals ◽

Metabolic Syndrome ◽

Multivariable Analysis ◽

Significant Trend ◽

Volume Index ◽

Visceral Adiposity Index ◽

Anthropometric Indices ◽

Adiposity Index ◽

Body Adiposity ◽

Southern Taiwan

Previous studies have revealed associations between heavy metals and extensive health problems. However, the association between heavy metals and metabolic problems remains poorly defined. This study aims to investigate relationships between heavy metals and metabolic syndrome (MetS), lipid accumulation product (LAP), visceral adiposity index (VAI), and anthropometric indices, including body roundness index (BRI), conicity index (CI), body adiposity index (BAI), and abdominal volume index (AVI). We conducted a health survey of people living in southern Taiwan. Six heavy metals were measured: lead (Pb) in blood and nickel (Ni), chromium (Cr), manganese (Mn), arsenic (As), and copper (Cu) in urine. A total of 2444 participants (976 men and 1468 women) were enrolled. MetS was defined according to the Adult Treatment Panel III for Asians. Multivariable analysis showed that participants with high urine Ni (log per 1 μg/L; odds ratio (OR): 1.193; 95% confidence interval (CI): 1.019 to 1.397; p = 0.028) and high urine Cu (log per 1 μg/dL; OR: 3.317; 95% CI: 2.254 to 4.883; p < 0.001) concentrations were significantly associated with MetS. There was a significant trend of a stepwise increase in blood Pb and urine Ni, As, and Cu according to the number of MetS components (from 0 to 5, a linear p ≤ 0.002 for trend). For the determinants of indices, urine Cu was positively correlated with LAP, BRI, CI, and VAI; blood Pb was positively correlated with BRI, BAI, and AVI; urine Ni was positively correlated with LAP. High urine Cu and urine Ni levels were significantly associated with MetS, and there was a significant trend for stepwise increases in blood Pb and urine Ni, As, and Cu, accompanied by an increasing number of MetS components. Furthermore, several indices were positively correlated with urine Cu, urine Ni, and blood Pb.

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