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.

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 ◽  
Author(s):  
Meng-Ting Tsou ◽  
Yu-Chen Chang ◽  
Ching-Ping Hsu ◽  
Yang-Che Kuo ◽  
Chun-Ho Yun ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Cox Regression ◽  
Elderly Women ◽  
Composite Endpoint ◽  
Population Based ◽  
Visceral Adiposity ◽  
Visceral Adiposity Index ◽  
Adiposity Index ◽  
Adiposity Indices ◽  
Elderly Chinese

Abstract BackgroundThis study aimed to assess the predictive performance of diabetes (DM) by using adiposity indices compared to body mass index and waist circumference. MethodsAmong 8249 consecutive subjects who attended the Nationwide Health Check Up System for Senior Citizens between 2008 and 2018 (≥ 65 years), we examined the associations of several adiposity indices with DM risk, and further explored gender differences. ResultsAmong all adiposity indicators, Chinese visceral adiposity index (CVAI) alone demonstrated the highest discriminatory ability for diabetes mellitus by area under receiver operating characteristic curves (AUC) (0.65, 0.68, and 0.66 for men, women, and all participants, respectively), regardless of gender, with optimal cut-offs set as 126.09 in men and 117.77 in women, respectively. Compared with body shape index (ABSI), CVAI was strongly associated with baseline DM (adjusted OR: 4.16 [3.35–5.17] for 4th vs 1st quartile groups, P < 0.001), which was more pronounced in elderly women (P interaction < 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 rather than the ABSI. Further, this independently predicted new-onset DM (adjusted HR: 1.26, 95% CI: 1.18–1.34) and composite endpoint of new DM and death (adjusted HR: 1.17, 95% CI: 1.10–1.25, both P < 0.001) among those without baseline DM. ConclusionsOur 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 elderly Chinese, especially in women.

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 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.

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 Prevalence of obesity and an interrogation of the correlation between anthropometric indices and blood pressures in urban Lagos, Nigeria

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Oluseyi Adegoke ◽  
Obianuju B. Ozoh ◽  
Ifedayo A. Odeniyi ◽  
Babawale T. Bello ◽  
Ayesha O. Akinkugbe ◽  
...  
Keyword(s):  
Secondary Analysis ◽  
Predictive Ability ◽  
Shape Index ◽  
Volume Index ◽  
Visceral Adiposity Index ◽  
Central Adiposity ◽  
Anthropometric Indices ◽  
Adiposity Index ◽  
Prevalence Of Obesity ◽  
Blood Pressures

AbstractAdverse cardiovascular outcomes are linked to higher burden of obesity and hypertension. We conducted a secondary analysis of data for 5135 participants aged ≥ 16 years from our community-based hypertension prevalence study to determine the prevalence of obesity and association between multiple anthropometric indices and blood pressure (BP). The indices were waist circumference (WC), body mass index (BMI), waist-to-height ratio (WHtR), waist-to-hip ratio (WHR), a body shape index(ABSI), abdominal volume index (AVI), body adiposity index (BAI), body roundness index (BRI), visceral adiposity index (VAI) and conicity index (CI). We performed statistical analyses to determine the association, predictive ability, cutoff values and independent determinants of hypertension. Crude prevalence of obesity was 136 per 1000 (95% confidence interval 126–146). BMI had the strongest correlation with systolic and diastolic BP (rs = 0.260 and 0.264, respectively). Indices of central adiposity (AVI, WC, WHtR, BRI) were the strongest predictors of hypertension (≥ 140/90 mmHg), and their cut-off values were generally higher in females than males. WHR, age, BMI and CI were independent determinants of hypertension ≥ 140 mmHg (p < 0.05). We conclude that, based on this novel study, measures of central adiposity are the strongest predictors and independent determinants of hypertension in our population, and cut-off values vary from previously recommended standards.

4-Year Trajectory of Visceral Adiposity Index in the Development of Type 2 Diabetes: A Prospective Cohort Study

2016 ◽  
Vol 69 (2) ◽  
pp. 142-149 ◽  
Author(s):  
Meilin Zhang ◽  
Li Zheng ◽  
Ping Li ◽  
Yufeng Zhu ◽  
Hong Chang ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Cox Regression ◽  
Characteristic Curve ◽  
Predictive Ability ◽  
Visceral Adiposity ◽  
Visceral Adiposity Index ◽  
Prediction Ability ◽  
Cox Regression Analysis ◽  
Adiposity Index

Background/Aims: Our aim was to evaluate whether visceral adiposity index (VAI) could predict the risk of type 2 diabetes (T2D) in different genders and to compare the predictive ability between VAI and other fatness indices. Methods: Four thousand seventy-eight participants including 1,817 men and 2,261 women, aged 18 and older and free of T2D at baseline were enrolled in 2010 and followed up for 4 years. New cases of T2D were identified via the annual medical examination. Cox regression analysis was used to assess the association between VAI and incidence of T2D. Receiver operating characteristic curve and area under the curves (AUC) were applied to compare the prediction ability of T2D between VAI and other fatness indices. Results: During the 4-year follow-up, 153 (8.42%) of 1,817 men and 88 (3.89%) of 2,261 women developed T2D. The multivariable-adjusted hazards ratios for developing T2D in the highest tertile of VAI scores were 2.854 (95% CI 1.815-4.487) in men and 3.551 (95% CI 1.586-7.955) in women. The AUC of VAI was not higher than that of other fatness indices. Conclusions: VAI could predict the risk of T2D among Chinese adults, especially in women. However, the prediction ability of T2D risk for VAI was not higher than that of the other fatness indices.

scholarly journals Visceral adiposity index is associated with lung function impairment: a population-based study

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Sunyue He ◽  
Jie Yang ◽  
Xiaoyong Li ◽  
Hongxia Gu ◽  
Qing Su ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Lung Function ◽  
Linear Regression Analysis ◽  
Population Based ◽  
Visceral Adiposity ◽  
Visceral Adiposity Index ◽  
Population Based Study ◽  
Adiposity Index ◽  
Function Impairment ◽  
Lung Function Impairment

Abstract Background The effects of visceral adiposity on decreased lung function have drawn much attention. Recently, the visceral adiposity index (VAI) has been proposed as a visceral fat distribution and dysfunction marker. However, the relationship between the VAI and lung function has not been investigated. The objective of the study was to analyze the association between the VAI and lung function and evaluate the potential of VAI as a predictor of lung function. Methods We collected data from a population-based study of 1786 subjects aged 40 years or older. All subjects completed a questionnaire and underwent anthropometric measurements and laboratory tests. Linear and logistic regression models were developed to assess the association between the VAI and lung function. Results The VAI was inversely related to FVC%predicted in men and negatively associated with both FVC%predicted and FEV1%predicted in women. In the linear regression analysis, the decrease in FVC%predicted associated with each 10% increase in the VAI was 1.127% in men and 1.943% in women; the decrease in FEV1%predicted associated with each 10%increase in the VAI was 0.663% in men and 1.738% in women. Further regression analysis revealed that the VAI was positively correlated with FVC and FEV1 impairment in women. Conclusions We were the first to show a clear correlation between the VAI and lung function impairment in the Chinese population. The VAI could be a simple and reliable approach in daily practice, and individuals, especially women with a high VAI, should receive additional screening and preventive interventions for respiratory disease.

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