scholarly journals Discriminatory ability of visceral adiposity index as an indicator for modeling cardio-metabolic risk factors in pediatric population: the CASPIAN-V study

2019 ◽  
Vol 11 (4) ◽  
pp. 280-286
Author(s):  
Hanieh-Sadat Ejtahed ◽  
Roya Kelishadi ◽  
Shirin Hasani-Ranjbar ◽  
Pooneh Angoorani ◽  
Mohammad Esmaeil Motlagh ◽  
...  
Keyword(s):  
Risk Factors ◽  
Children And Adolescents ◽  
Pediatric Population ◽  
Fasting Blood Glucose ◽  
Visceral Adiposity ◽  
Visceral Adiposity Index ◽  
Roc Curve Analysis ◽  
Cross Sectional ◽  
Adiposity Index ◽  
Prospective Longitudinal

Introduction: The purpose of this study was to obtain the cutoff points of visceral adiposity index (VAI), a new marker of indirect evaluation of visceral fat, to assess its association with metabolic syndrome (MetS) in a population of children and adolescents.<br /> Methods: This cross sectional study was conducted on children and adolescents aged 7-18 years attended in the fifth phase of a national school-based surveillance survey. The odds ratio (OR) of cardiometabolic risk factors across tertile categories of VAI was determined using the logistic regression models and the valid cut-off values of VAI for predicting MetS was obtained using the receiver operation characteristic (ROC) curve analysis.<br /> Results: A total of 3843 students (52.3% boys, 12.3 [12.2-12.4] years) were included in the analysis. The mean of VAI was significantly higher in participants who had MetS (2.60 [2.42-2.78] vs 1.22 [1.19-1.25]; P <0.001). Participants in the third tertile compared to the first tertile category of VAI had higher odds of abdominal obesity (OR: 1.77, 95% CI: 1.43-2.20), impaired fasting blood glucose (OR: 2.00, 95% CI: 1.28-3.13) and low high-density lipoprotein cholesterol (OR: 15.93, 95% CI: 12.27-20.66). The cut-off points of the VAI for predicting MetS were 1.58, 1.30 and 1.78 in total population, boys and girls, respectively.<br /> Conclusion: We determined the cut-off points of VAI as an easy tool for detecting MetS in children and adolescents and demonstrated that VAI is strongly associated with MetS. Prospective longitudinal studies are suggested to show the possible efficiency of the VAI as a predictor of MetS in pediatrics.

Visceral Adiposity Index was a useful Predictor of Prediabetes

2017 ◽  
Vol 126 (10) ◽  
pp. 596-603 ◽  
Author(s):  
Dongfeng Gu ◽  
Yanan Ding ◽  
Yunfeng Zhao ◽  
Qingshan Qu
Keyword(s):  
Epidemiological Survey ◽  
Visceral Adiposity ◽  
Visceral Adiposity Index ◽  
Roc Curve Analysis ◽  
Cross Sectional ◽  
Adiposity Index ◽  
Logistic Analysis ◽  
Auc Value ◽  
Relationship Of ◽  
The Relationship

Abstract Aim To study the relationship of visceral adiposity index (VAI) and prediabetes and the power of which in predicting of prediabetes. Methods A cross-sectional epidemiological survey was conducted. All participants were divided into four groups: VAI and WC (both are normal), VAI↑ and WC (postcritical VAI and normal WC), VAI and WC↑ (Normal VAI and postcritical WC), and VAI↑ and WC↑ (postcritical VAI and postcritical WC). A multivariate logistic analysis was used to analyze the relationship between the four groups and prediabetes, and diabetes. A receiver operating characteristic (ROC) curve analysis was used to evaluate the accuracy of predictions for prediabetes and diabetes. Results Both VAI and WC were independent risk factors of Prediabetes. The ORs for Prediabetes in the VAI↑&WC group were 1.641 (95%CI 1.146–2.349), P=0.007, in males, in Model 2. The ORs for Prediabetes in the VAI&WC↑ group were 1.454 (95%CI 1.055–2.005), P=0.022, in males, in Model 2. The ORs for Prediabetes in the VAI↑&WC group were 2.305 (95%CI 1.623–3.273), P=0.000, in females, in Model 2. The ORs for Prediabetes in the VAI&WC↑ group were 1.997 (95%CI 1.529–2.608), P=0.000, in females, in Model 2. The AUC value of VAI were 0.601 (95%CI 0.568–0.634), P=0.000, in prediabetes of men; which were 0.645 (95%CI 0.618–0.672), P=0.000, in prediabetes women. WC had the highest AUC value of 0.605 (95%CI 0.571–0.638), P=0.000, in prediabetes of men, also had the highest of AUC value of 0.673 (95%CI 0.648–0.697), P=0.000, in prediabetes of women. Conclusion VAI was positively associated with prediabetes, and also a usefulindicator of prediabetes.

scholarly journals The relationship between the visceral adiposity index and carotid atherosclerosis in different genders and age groups

2021 ◽  
Author(s):  
Jing Cao ◽  
Shengpeng Liu ◽  
Q. Yang ◽  
Y. Zhang ◽  
J. Huang ◽  
...  
Keyword(s):  
Carotid Atherosclerosis ◽  
Elderly Women ◽  
Age Groups ◽  
Visceral Adiposity ◽  
Visceral Adiposity Index ◽  
Health Examination ◽  
Diagnostic Efficacy ◽  
Cross Sectional ◽  
Adiposity Index ◽  
Increased Risk

Abstract Objective: We aimed to investigate the possible relationship between visceral adiposity index (VAI) and carotid atherosclerosis(CAS) in different genders and age groups in China. Methods: This study was an observational cross-sectional study and included 1996 participants who were health examination population .From January 2018 to June 2019, people over 18 years old who had physical examinations were included in the study. Each participant completed a standard questionnaire, anthropometric measurements, ultrasonic examination ,and provided blood samples for biochemical measurements. Regression models were utilized to evaluate the correlation between VAI and the CAS risk. An ROC curve was utilized to predict VAI diagnostic efficacy for carotid atherosclerosis. Result: After adjusting for potential risks, high-VAI subjects had an increased OR of having CAS in women aged>44 years[OR= 3.09,95% Confdence interval (95%CI)=1.64⑶5.82, p <0.001]. In females, the AUC and sensitivity specificity were [(0.595, 76.68% and 39.85%, all females), (0.575, 78.51% and 30.37%, age ≤44), (0.609, 84.71% and 40.46%, age >44). When compared with traditional obesity indices(BMI, WC, and HC) , the predictive ability of VAI was stronger in females >44.The same relationships in males were not signifcant. Conclusions: The VAI were associated with an increased risk of CAS,and it could be selected as new and simple predictors of CAS for middle-aged and elderly women(age >44)in China .

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 Visceral Adiposity Index and Atherogenic Index of Plasma as Useful Predictor of Cardiovascular Diseases Risk: Evidence From A Cohort Study in Iran

2021 ◽  
Author(s):  
Behrooz Hamzeh ◽  
Yahya Pasdar ◽  
Narmin Mirzaei ◽  
Roya Safari Faramani ◽  
Farid Najafi ◽  
...  
Keyword(s):  
Cohort Study ◽  
Cardiovascular Diseases ◽  
Communicable Disease ◽  
Density Lipoprotein ◽  
Visceral Adiposity ◽  
Atherogenic Index ◽  
Visceral Adiposity Index ◽  
Cross Sectional ◽  
Atherogenic Index Of Plasma ◽  
Adiposity Index

Abstract Background Visceral Adiposity index (VAI) and atherogenic index of plasma (AIP) are relatively new indicators for predicting Non-Communicable disease (NCDs). The aim of this study was to assess the association AIP and VAI with risk of cardiovascular diseases (CVDs). Methods This was a cross-sectional analysis conducted on 7362 individuals aged 35 to 65 years participated in Ravansar Non-Communicable Diseases (RaNCD) cohort study. AIP was calculated based on the value of triglyceride and high density lipoprotein cholesterol (HDL-C). VAI was calculated using Body mass index (BMI), waist circumference (WC), triglyceride, and HDL-C. All participants were stratified into three groups based on AIP and VAI tertiles. Logistic regression models were used to assess the association of AIP and VAI with CVDs. Results The mean of AIP and VAI was significantly higher in CVDs patients than in non-CVDs (P < 0.001). After adjusting for age, sex, BMI and physical activity the risk of CVDs in the second and third tertile of AIP were 1.22 (95% CI: 1.02, 1.45) and 1.40 (95% CI: 1.19, 1.66) times higher comparing to the first tertile, respectively. Risk of CVDs in the second and third tertile of VAI were 1.28 (95% CI: 1.06, 1.53) and 1.52 (95% CI: 1.25, 1.83) times higher than the first tertile, respectively; while adjusting for age, sex, hypertension and dyslipidemia and smoking. Conclusion According to the findings, AIP and VAI were positively associated with CVDs. Therefore, AIP and VAI can be useful in identifying high-risk subgroups of CVDs in general population.

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

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