Visceral Adiposity Index Is Associated with Pre-Diabetes and Type 2 Diabetes Mellitus in Chinese Adults Aged 20-50

2016 ◽  
Vol 68 (4) ◽  
pp. 235-243 ◽  
Author(s):  
Peng Ju Liu ◽  
Fang Ma ◽  
Hui Ping Lou ◽  
Yu Chen
Keyword(s):  
Diabetes Mellitus ◽  
Area Under The Curve ◽  
Visceral Obesity ◽  
Community Dwelling ◽  
Visceral Adiposity ◽  
Visceral Adiposity Index ◽  
Chinese Adults ◽  
Cross Sectional ◽  
Adiposity Index ◽  
Obesity Indices

Background/Aims: Diabetes mellitus and pre-diabetes are closely associated with visceral obesity. Visceral adiposity index (VAI) is a novel sex-specific index, indirectly expressing visceral adipose function. Our aim was to determine the associations of VAI with dysglycemia (the combination of diabetes and pre-diabetes) and to compare the predictive ability for dysglycemia between VAI and traditional obesity indices. Methods: We performed a cross-sectional analysis of the data of 2,754 Chinese community-dwelling people who participated in the health checkup. Sex-specific VAI tertile cut-off points were used as follows: 1.70, 2.77 in males and 0.98, 1.75 in females. Binary logistic regression models were performed to estimate the association of the higher values of all the obesity indices with pre-diabetes and diabetes. The area under the curve (AUC) of the receiver operating characteristic (ROC) curve was applied to compare the predictive potential for dysglycemia among the obesity indices. Results: VAI was the only index significantly associated with both pre-diabetes and diabetes in both sexes after adjusting for potential confounders. The results of ROC analysis and AUC showed that VAI possessed the largest AUC, followed by other obesity indices. Conclusions: Higher VAI values are positively associated with the presence of pre-diabetes and diabetes in Chinese adults.

Chinese visceral adiposity index, a novel indicator of visceral obesity for assessing the risk of incident hypertension in a prospective cohort study

2020 ◽  
pp. 1-9
Author(s):  
Minghui Han ◽  
Ranran Qie ◽  
Quanman Li ◽  
Leilei Liu ◽  
Shengbing Huang ◽  
...  
Keyword(s):  
Cohort Study ◽  
Characteristic Curve ◽  
Visceral Obesity ◽  
Visceral Adiposity ◽  
Sensitivity Analyses ◽  
Cluster Sampling ◽  
Visceral Adiposity Index ◽  
Adiposity Index ◽  
Hypertension Risk ◽  
Obesity Indices

Abstract The present study aimed to investigate the association of the Chinese visceral adiposity index (CVAI) and its 6-year change with hypertension risk and compare the ability of CVAI and other obesity indices to predict hypertension based on the Rural Chinese Cohort Study. Study participants were randomly recruited by a cluster sampling procedure, and 10 304 participants ≥18 years were included. Modified Poisson regression was used to derive adjusted relative risks (RR) and 95 % CI. We identified 2072 hypertension cases during a median of 6·03 years of follow-up. The RR for the highest v. lowest CVAI quartile were 1·29 (95 % CI 1·05, 1·59) for men and 1·53 (95 % CI 1·22, 1·91) for women. Per-sd increase in CVAI was associated with hypertension for both men (RR 1·09, 95 % CI 1·02, 1·16) and women (RR 1·14, 95 % CI 1·06, 1·22). Also, the area under the receiver operating characteristic curve value for hypertension was higher for CVAI than the four other obesity indices for both sexes (all P < 0·05). Finally, per-sd increase in CVAI change was associated with hypertension for both men (RR 1·26, 95 % CI 1·16, 1·36) and women (RR 1·23, 95 % CI 1·15, 1·30). Similar results were observed in sensitivity analyses. CVAI and its 6-year change are positively associated with hypertension risk. CVAI has better performance in predicting hypertension than other visceral obesity indices for both sexes. The current findings suggest CVAI as a reliable and applicable predictor of hypertension in rural Chinese adults.

scholarly journals Comparison of novel visceral obesity indexes with traditional obesity measurements in predicting of metabolically unhealthy nonobese phenotype in hemodialysis patients

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Chaomin Zhou ◽  
Yanzhe Peng ◽  
Wenyong Jiang ◽  
Jing Yuan ◽  
Yan Zha
Keyword(s):  
Abdominal Obesity ◽  
Visceral Obesity ◽  
Hemodialysis Patients ◽  
Overweight And Obesity ◽  
Visceral Adiposity ◽  
Guizhou Province ◽  
Maintenance Hemodialysis ◽  
Visceral Adiposity Index ◽  
Adiposity Index ◽  
Obesity Indices

Abstract Background Normal-weight maintenance hemodialysis (MHD) patients with abdominal obesity exhibited a more proatherogenic profile than overweight and obesity patients with abdominal obesity, highlighting the importance of early identification of metabolically unhealthy nonobese (MUNO) in this population. Visceral fat accumulation plays a crucial role in the development of MUNO. Lipid accumulation product (LAP), visceral adiposity index (VAI) have been proved as reliable visceral obesity markers. The Chinese visceral adiposity index (CVAI) and a body shape index (ABSI) are newly discovered indexes of visceral obesity and have been reported to be associated with multiple metabolic disorders. There are limited studies investigating the associations between different visceral obesity indices and risk of MUNO, especially in hemodialysis patients. Moreover, no general agreement has been reached to date regarding which of these obesity indices performs best in identifying MUNO. We aimed to investigate the prevalence of MUNO in MHD patients and compare the associations between different adiposity indices (CVAI, ABSI,VAI, LAP, body mass index (BMI), waist circumference (WC) and waist-to-hip ratio (WHtR)) with MUNO risk in this population. Methods We conducted a multi-center cross-sectional study in Guizhou Province, Southwest China. 1302 nonobese adult MHD patients were included in our study. MUNO was defined as being nonobese and having the presence of > = 2 components of metabolic syndrome (MetS). Nonobese was defined as BMI less than 25 kg/m2. VAI, LAP, CVAI, ABSI, BMI, WC and WHtR were calculated. Logistic regression analyses and receiver operator curve (ROC) analyses were performed. Results 65.6% participants were metabolically unhealthy. The ROC curve analysis demonstrated that of the seven obesity indices tested, the VAI (AUC 0.84 for women and 0.79 for men) followed by LAP (AUC 0.78 for women and 0.72 for men) had the highest diagnostic accuracy for MUNO phenotype while ABSI exhibited the lowest AUC value for identifying MUNO phenotype Conclusions Metabolically unhealthy is highly prevalent in nonobese MHD patients. VAI and LAP outperformed CVAI in discriminating MUNO in MHD patients. Though ABSI could be a weak predictor of MUNO, it is not better than WHtR, WC and BMI.

464-P: Visceral Adiposity Index Identifies Both Type 2 Diabetes Mellitus and Prediabetes Better than Established Indices of Visceral Obesity in a Pad Cohort

Diabetes ◽  
2019 ◽  
Vol 68 (Supplement 1) ◽  
pp. 464-P
Author(s):  
BERNHARD ZIERFUSS ◽  
CLEMENS HOEBAUS ◽  
CARSTEN T. HERZ ◽  
RENATE KOPPENSTEINER ◽  
GERIT-HOLGER SCHERNTHANER
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Visceral Obesity ◽  
Visceral Adiposity ◽  
Visceral Adiposity Index ◽  
Adiposity Index ◽  
Better Than

scholarly journals Association of Chinese Visceral Adiposity Index with Nonalcoholic Fatty Liver Disease in Individuals with type 2 Diabetes Mellitus: A Cross Sectional Study

2021 ◽  
Author(s):  
Xunan Wu ◽  
Yujing Sha ◽  
Yanyan Li ◽  
Ke Chen ◽  
Yue Qiu ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Fatty Liver Disease ◽  
Binary Logistic Regression ◽  
Visceral Adiposity ◽  
Visceral Adiposity Index ◽  
Cross Sectional ◽  
Nonalcoholic Fatty Liver ◽  
Adiposity Index

Abstract Background Chinese visceral adiposity index (CVAI), a reliable indicator of visceral adiposity, was associated with type 2 diabetes mellitus (T2DM) in Chinese population. However, little is known regarding association between CVAI and presence of nonalcoholic fatty liver disease (NAFLD) in T2DM patients. Here, we investigated whether CVAI could identify NAFLD among T2DM patients.Methods A total of 504 T2DM patients were recruited in this cross-sectional survey. Anthropometric and biochemical parameters were measured. NAFLD was diagnosed by abdominal ultrasonography. Binary logistic regression was used to assess association between CVAI and occurrence of NAFLD in T2DM patients. The predictive power of CVAI for NAFLD was analyzed by receiver operating characteristic curve (ROC) method. ResultsCVAI levels were significantly elevated in T2DM patients with NAFLD (102.68±32.34 vs 133.10±28.44, P<0.001). Compared with the lowest CVAI quartile, the highest quartile showed worse metabolic features, including waist circumference, body mass index, liver enzymes and lipid parameters (P<0.01). The incidence of NAFLD among T2DM patients increased significantly across CVAI quartiles (36.5%, 57.9%, 78.6%, 86.5%, respectively, P<0.001). Binary logistic regression analysis adjusted for multiple factors showed that the odds ratio of having NAFLD was 9.004 (95%CI, 4.441-18.256) in the highest CVAI quartile. ROC analyses showed that the area under the curve of CVAI for diagnosing NAFLD was 0.756 (95% confidence interval: 0.716-0.792), which was better than visceral adiposity index, waist-to-hip ratio and waist-to-height ratio(P<0.05). The cut-off value of CVAI for identifying NAFLD in Chinese T2DM population was 111.975 (sensitivity = 0.761, specificity = 0.627).Conclusions Elevated CVAI levels were independently associated with presence of NAFLD in T2DM patients. CVAI might be a reliable and convenient index for incident NAFLD in T2DM patients.

scholarly journals Lipid Indices vs Anthropometric Indices in Metabolic Syndrome and Type 2 Diabetes Mellitus

2021 ◽  
Vol 8 (6) ◽  
pp. A152-157
Author(s):  
Asha Augusthy ◽  
Suchanda Sahu ◽  
Ashok Kumar Jeppu
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Metabolic Syndrome ◽  
Type 2 Diabetes Mellitus ◽  
Visceral Adiposity ◽  
Accumulation Factor ◽  
Visceral Adiposity Index ◽  
Anthropometric Indices ◽  
Adiposity Index

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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