Body Mass Index versus Other Adiposity Traits: Best Predictor of Cardiometabolic Risk

2020 ◽  
Author(s):  
Muhammad SAQLAIN ◽  
Zainab AKHTAR ◽  
Raheela KARAMAT ◽  
Samra MUNAWAR ◽  
Maria IQBAL ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Strong Predictor ◽  
Large Population ◽  
Population Group ◽  
Metabolic Health ◽  
Size Analysis ◽  
Visceral Adiposity Index ◽  
Class Iii ◽  
Adiposity Index

Background: A number of anthropometric indices have been used in different world populations as markers to estimate obesity and its related health risks. The present study is large population based study dealing with five anthropometric obesity scales; Body mass index (BMI), waist circumference (WC), waist to hip ratio (WHR), basal adiposity index (BAI), and Visceral adiposity index (VAI) to identify common adiposity trait(s) that best predict obesity and associated health complication(s). Methods: A total of 4000 subjects including 1000 in each category of BMI from four provinces (Punjab, Sindh, Kahyber pakhtoonkha and Balochistan) of Pakistan from 2012-2017 were collected. Complete anthropometric measurementswere obtained and blood samples were collected and Biochemical profiling was performed. Descriptive statistics, linear regression, binary and multiple regression analysis was done. Results: Our data analysis explored the relationships of obesity five indices; BMI, WC, WHR, BAI, and VAI with common metabolic health complications. Effect size analysis clearly indicates that a unit increase in BMI significant raised all anthropometric and clinical parameters. General and sex specific association analysis of adiposity traits with risk phenotypes (hypertension, hyperglycemia and dyslipidemia) indicated significant associations of WC with all three metabolic risks. Varying degrees of correlations of other adiposity traits with metabolic risks were observed. Frequency of different obesity classes among obese population group were as follows; 55.7% class I, 28.50% Class II and 15.80% Class III. Conclusion: WC is the strong predictor of obesity associated metabolic health issues in Pakistani populations. While BMI has significant increasing effect on other obesity indices like WHR, VAI and BAI.

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 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.

Dynamics of body mass index and visceral adiposity index in patients with rheumatoid arthritis treated with tofacitinib

2019 ◽  
Vol 39 (7) ◽  
pp. 1181-1189 ◽  
Author(s):  
Diana S. Novikova ◽  
Helen V. Udachkina ◽  
Eugenia I. Markelova ◽  
Irina G. Kirillova ◽  
Anna S. Misiyuk ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Body Mass Index ◽  
Body Mass ◽  
Visceral Adiposity ◽  
Visceral Adiposity Index ◽  
Adiposity Index
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