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 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 Visceral adiposity index is a better predictor of type 2 diabetes than body mass index in Qatari population

Medicine ◽  
2020 ◽  
Vol 99 (35) ◽  
pp. e21327
Author(s):  
Aysha Alkhalaqi ◽  
Fatima Al-Naimi ◽  
Rouda Qassmi ◽  
Zumin Shi ◽  
Vijay Ganji ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Body Mass Index ◽  
Body Mass ◽  
Visceral Adiposity ◽  
Visceral Adiposity Index ◽  
Adiposity Index

scholarly journals Visceral adiposity index performed better than traditional adiposity indicators in predicting unhealthy metabolic phenotype among Chinese children and adolescents

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Yangyang Dong ◽  
Ling Bai ◽  
Rongrong Cai ◽  
Jinyu Zhou ◽  
Wenqing Ding
Keyword(s):  
Body Mass Index ◽  
Children And Adolescents ◽  
Receiver Operating Characteristic ◽  
Body Mass ◽  
Operating Characteristic ◽  
Normal Weight ◽  
Visceral Adiposity ◽  
Metabolic Phenotype ◽  
Visceral Adiposity Index ◽  
Adiposity Index

AbstractThe relationship between visceral adiposity index (VAI) and unhealthy metabolic phenotype remained unclear in children and adolescents. This study aimed to investigate their association and compared the ability of VAI and traditional adiposity indicators (body mass index, waist circumference and waist-to-height ratio) to predict metabolically unhealthy phenotype among normal-weight, overweight and obese children and adolescents. In this cross-sectional study, 1722 children and adolescents aged 12–18 years were selected by cluster random sampling, underwent a questionnaire survey, physical examination and biochemical tests. Participants were divided into four phenotypes according to the combination of the weight status determined by body mass index (BMI) and metabolic syndrome components. Receiver operating characteristic (ROC) analysis and multivariate logistic regression were used to compare the predictive capacity between VAI and traditional adiposity indicators and their relationship with metabolically unhealthy phenotype. We found that VAI had better performance in predicting metabolically unhealthy phenotype than traditional adiposity indicators, the area under the receiver-operating characteristic curve (AUC) were 0.808 and 0.763 for boys and girls with normal-weight, 0.829 and 0.816 for boys and girls with overweight and obese (all P < 0.001). VAI was most strongly related to metabolically unhealthy phenotype whether or not to adjust the age, the adjusted OR and 95%CI was 6.15 (4.13–9.14) in boys with normal weight, and 5.90 (3.06–11.36), 4.95 (2.35–10.41) in boys and girls with overweight and obese, respectively (all P < 0.001). Our findings suggested VAI could be used as a comprehensive predictor to identify unhealthy metabolic phenotype in children and adolescents.

scholarly journals Predictive Power of Body Visceral Adiposity Index, Body Adiposity Index and Body Mass Index for Type 2 Diabetes in Qatari Population

2020 ◽  
Author(s):  
Aysha Alkhalaqi ◽  
Fatima Alnaimi ◽  
Rouda Qassmi ◽  
Hiba Bawadi
Keyword(s):  
Type 2 Diabetes ◽  
Body Mass Index ◽  
Body Mass ◽  
Relative Effectiveness ◽  
Visceral Adiposity ◽  
Visceral Adiposity Index ◽  
Body Adiposity Index ◽  
Adiposity Index ◽  
Body Adiposity

Background: The prevalence of type 2 diabetes (T2D) has increased recently in Qatar. Body mass index (BMI) is a predictor of T2D in many populations. However, BMI is based on height and weight measurements and not on body adiposity. Therefore, the utility of BMI for predicting the risk of T2D has been questioned, and visceral adiposity (VAI) appears to be a better predictor of T2D. Objective: This study is aimed to assess the relative effectiveness of visceral adiposity index (VAI) and body adiposity index (BAI), in comparison with body mass index (BMI), for T2D among Qatari adults. Methodology: A random sample of 1103 adult Qatari nationals over 20 years old were included in this study; this data was obtained from the Qatar National Biobank. We performed a multivariate logistic regression to examine the association between VAI, BAI, BMI, and T2D, and computed zscores for VAI, BAI and BMI. Results: VAI z-scores showed the strongest association with the risk of T2D (OR, 1.44; 95% CI: 1.24–1.68) compared with the zscores for BAI (OR, 1.15; 95% CI: 0.93–1.43) and BMI (OR, 1.33; 95% CI: 1.11–1.59). Subgroup analyses indicated that the association was stronger between VAI and T2D in Qatari women than in men. Conclusion: VAI was a strong and independent predictor of T2D among the Qatari adult population. Therefore, VAI could be a useful tool for predicting the risk of T2D among Qatari adults.

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.

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