scholarly journals Relationships of Visceral Adiposity Index and Body Shape Index with Diabetes Mellitus Risks in Chinese Adults (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

scholarly journals Comparisons of Visceral Adiposity Index, Body Shape Index, Body Mass Index and Waist Circumference and Their Associations with Diabetes Mellitus in Adults

Nutrients ◽  
2019 ◽  
Vol 11 (7) ◽  
pp. 1580 ◽  
Author(s):  
Wei ◽  
Liu ◽  
Xue ◽  
Wang ◽  
Shi
Keyword(s):  
Body Mass Index ◽  
Waist Circumference ◽  
Body Mass ◽  
Body Shape ◽  
Multivariate Logistic Regression Analysis ◽  
Shape Index ◽  
Visceral Adiposity ◽  
Youden Index ◽  
Visceral Adiposity Index ◽  
Adiposity Index

The associations between visceral adiposity index (VAI), body shape index and diabetes in adults were inconsistent. We assessed the predictive capacity of VAI and body shape index for diabetes by comparing them with body mass index (BMI) and waist circumference (WC). We used the data of 5838 Chinese men and women aged ≥18 years from the 2009 China Health and Nutrition Survey. Multivariate logistic regression analysis was performed to examine the independent associations between Chinese VAI (CVAI) or body shape index and diabetes. The predictive power of the two indices was assessed using the receiver-operating characteristic (ROC) curve analysis, and compared with those of BMI and WC. Both CVAI and body shape index were positively associated with diabetes. The odds ratios for diabetes were 4.9 (2.9–8.1) and 1.8 (1.2–2.8) in men, and 14.2 (5.3–38.2) and 2.0 (1.3–3.1) in women for the highest quartile of CVAI and body shape index, respectively. The area under the ROC (AUC) and Youden index for CVAI was the highest among all four obesity indicators, whereas BMI and WC are better indicators for diabetes screening. Higher CVAI and body shape index scores are independently associated with diabetes risk. CVAI has a higher overall diabetes diagnostic ability than BMI, WC and body shape index in Chinese adults. BMI and WC, however, are more appealing as screening indicators considering their easy use.

scholarly journals Visceral adiposity index outperforms conventional anthropometric assessments as predictor of diabetes mellitus in elderly Chinese: a population-based study

2021 ◽  
Vol 18 (1) ◽  
Author(s):  
Meng-Ting Tsou ◽  
Yu-Chen Chang ◽  
Ching-Ping Hsu ◽  
Yang-Che Kuo ◽  
Chun-Ho Yun ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Older Adult ◽  
Body Shape ◽  
Predictive Ability ◽  
Shape Index ◽  
Population Based ◽  
Visceral Adiposity ◽  
Visceral Adiposity Index ◽  
Adult Women ◽  
Adiposity Index

Abstract Background This study assessed the performance of visceral adiposity index and body shape index in predicting diabetes mellitus (DM) risk and compared their predictive ability to that of body mass index and waist circumference. Methods Among 8249 consecutive subjects who attended the Nationwide Health Check Up System for Senior Citizens (≥ 65 years) between 2008 and 2018, we examined the associations of several adiposity indices with DM risk and explored gender differences. Results Among all adiposity indicators, Chinese visceral adiposity index (CVAI) demonstrated the highest discriminatory ability for diabetes mellitus with area under receiver operating characteristic curves (AUC) of 0.65, 0.68, and 0.66 for men, women, and all participants, respectively, and optimal cut-offs set as 126.09 in men and 117.77 in women. Compared with body shape index (ABSI), both CVAI and VAI were strongly associated with baseline DM (adjusted OR: 4.85, 95% CI: 4.05–5.82 and 4.22, 95% CI: 3.53–5.05 for 4th vs 1st quartile groups by CVAI and VAI, P < 0.001), which was more pronounced in older adult women (Pinteraction < 0.05). Over a median of 5.25 years (IQR: 3.07–6.44 years) follow-up, Cox regression models showed higher predictive ability of CVAI and VAI compared to ABSI. Further, both CVAI and VAI independently predicted new-onset DM (adjusted HR: 1.29, 95% CI: 1.22–1.37 and 1.16, 95% CI: 1.11–1.21 by CVAI and VAI) and composite endpoint of new DM and death among those without baseline DM. Conclusions Our population-based data demonstrated that Chinese visceral adiposity index may serve as a superior clinical indicator of diabetes when compared with conventional anthropometric indices among older adult Chinese, especially in women.

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.

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

2019 ◽  
Vol 35 (6) ◽  
Author(s):  
Efi Koloverou ◽  
Demosthenes B. Panagiotakos ◽  
Ioannis Kyrou ◽  
Christodoulos Stefanadis ◽  
Christina Chrysohoou ◽  
...  
Keyword(s):  
Diabetes Risk ◽  
Visceral Adiposity ◽  
Visceral Adiposity Index ◽  
Anthropometric Indices ◽  
Adiposity Index

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

2015 ◽  
Vol 172 (1) ◽  
pp. 79-88 ◽  
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.

scholarly journals The Visceral Adiposity Index Is a Predictor of Incident Chronic Kidney Disease: A Population-Based Longitudinal Study

2020 ◽  
Vol 45 (3) ◽  
pp. 407-418 ◽  
Author(s):  
Ryo Bamba ◽  
Takuro Okamura ◽  
Yoshitaka Hashimoto ◽  
Masahide Hamaguchi ◽  
Akihiro Obora ◽  
...  
Keyword(s):  
Chronic Kidney Disease ◽  
Kidney Disease ◽  
Visceral Adiposity ◽  
Visceral Adiposity Index ◽  
Historical Cohort ◽  
Men And Women ◽  
Adiposity Index ◽  
Incident Chronic Kidney Disease ◽  
The Impact

Background and Aims: Visceral adiposity index (VAI), calculated with body mass index, high density lipoprotein-cholesterol, triglycerides and waist circumference, has been proposed as a marker of visceral fat accumulation and dysfunction in adipose tissue. Methods: The impact of VAI on incident chronic kidney disease (CKD) in a historical cohort study of 15,159 (8,260 men and 6,899 women) participants was investigated. CKD was defined when estimated glomerular filtration rate was <60 mL/min/1.73 m2 or proteinuria (positive: ≥1+). We divided the participants into 2 groups according to sex and into quartiles according to VAI (Q1–4). We performed Cox proportional hazard models, adjusting for age, smoking status, exercise, alcohol consumption, systolic blood pressure, hemoglobin A1c, uric acid, and creatinine. Results: During the median 3.3-year follow-up for men and 3.2-year follow-up for women, 1,078 participants (629 men and 449 women) developed CKD. The 4,000 days cumulative incidence rate of CKD for men and women were 3.7 and 3.9% in Q1, 5.2 and 5.9% in Q2, 6.5 and 7.0% in Q3, and 8.4 and 9.3% in Q4 respectively. Compared to Q1, the hazard ratios of incident CKD in Q2, Q3 and Q4 for men and women were 1.23 (95% CI 0.91–1.66, p = 0.184) and 1.30 (0.87–1.96, p = 0.203), 1.42 (1.06–1.90, p = 0.018) and 1.38 (0.94–2.05, p = 0.105), and 1.51 (1.12–2.02, p = 0.006) and 1.65 (1.12–2.46, p = 0.013) respectively. Additionally, the area under the curve of VAI for incidence of CKD was superior to that of VAI in men (0.595 vs. 0.552, p < 0.001) and equal to in women (0.597 vs. 0.591, p = 0.708). Conclusions: The VAI can be a predictor of incident CKD.

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