scholarly journals Derivation and validation of a new visceral adiposity index for predicting visceral obesity and cardiometabolic risk in a Korean population

PLoS ONE ◽  
2018 ◽  
Vol 13 (9) ◽  
pp. e0203787 ◽  
Author(s):  
Sung-Kwan Oh ◽  
A-Ra Cho ◽  
Yu-Jin Kwon ◽  
Hye-Sun Lee ◽  
Ji-Won Lee
2020 ◽  
pp. 1-9
Author(s):  
Minghui Han ◽  
Ranran Qie ◽  
Quanman Li ◽  
Leilei Liu ◽  
Shengbing Huang ◽  
...  

Abstract The present study aimed to investigate the association of the Chinese visceral adiposity index (CVAI) and its 6-year change with hypertension risk and compare the ability of CVAI and other obesity indices to predict hypertension based on the Rural Chinese Cohort Study. Study participants were randomly recruited by a cluster sampling procedure, and 10 304 participants ≥18 years were included. Modified Poisson regression was used to derive adjusted relative risks (RR) and 95 % CI. We identified 2072 hypertension cases during a median of 6·03 years of follow-up. The RR for the highest v. lowest CVAI quartile were 1·29 (95 % CI 1·05, 1·59) for men and 1·53 (95 % CI 1·22, 1·91) for women. Per-sd increase in CVAI was associated with hypertension for both men (RR 1·09, 95 % CI 1·02, 1·16) and women (RR 1·14, 95 % CI 1·06, 1·22). Also, the area under the receiver operating characteristic curve value for hypertension was higher for CVAI than the four other obesity indices for both sexes (all P < 0·05). Finally, per-sd increase in CVAI change was associated with hypertension for both men (RR 1·26, 95 % CI 1·16, 1·36) and women (RR 1·23, 95 % CI 1·15, 1·30). Similar results were observed in sensitivity analyses. CVAI and its 6-year change are positively associated with hypertension risk. CVAI has better performance in predicting hypertension than other visceral obesity indices for both sexes. The current findings suggest CVAI as a reliable and applicable predictor of hypertension in rural Chinese adults.


2020 ◽  
Vol 229 ◽  
pp. 177
Author(s):  
Amoroso Moya Amparo ◽  
Nicolalde Cifuentes Marcelo ◽  
Torres Célleri Herbarth

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Marco Calogero Amato ◽  
Carla Giordano

The Visceral Adiposity Index (VAI) has recently proven to be an indicator of adipose distribution and function that indirectly expresses cardiometabolic risk. In addition, VAI has been proposed as a useful tool for early detection of a condition of cardiometabolic risk before it develops into an overt metabolic syndrome. The application of the VAI in particular populations of patients (women with polycystic ovary syndrome, patients with acromegaly, patients with NAFLD/NASH, patients with HCV hepatitis, patients with type 2 diabetes, and general population) has produced interesting results, which have led to the hypothesis that the VAI could be considered a marker of adipose tissue dysfunction. Unfortunately, in some cases, on the same patient population, there is conflicting evidence. We think that this could be mainly due to a lack of knowledge of the application limits of the index, on the part of various authors, and to having applied the VAI in non-Caucasian populations. Future prospective studies could certainly better define the possible usefulness of the VAI as a predictor of cardiometabolic risk.


2014 ◽  
Vol 127 (2) ◽  
pp. 152-157 ◽  
Author(s):  
Martin R. Salazar ◽  
Horacio A. Carbajal ◽  
Walter G. Espeche ◽  
Marcelo Aizpurúa ◽  
Pablo M. Maciel ◽  
...  

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Chaomin Zhou ◽  
Yanzhe Peng ◽  
Wenyong Jiang ◽  
Jing Yuan ◽  
Yan Zha

Abstract Background Normal-weight maintenance hemodialysis (MHD) patients with abdominal obesity exhibited a more proatherogenic profile than overweight and obesity patients with abdominal obesity, highlighting the importance of early identification of metabolically unhealthy nonobese (MUNO) in this population. Visceral fat accumulation plays a crucial role in the development of MUNO. Lipid accumulation product (LAP), visceral adiposity index (VAI) have been proved as reliable visceral obesity markers. The Chinese visceral adiposity index (CVAI) and a body shape index (ABSI) are newly discovered indexes of visceral obesity and have been reported to be associated with multiple metabolic disorders. There are limited studies investigating the associations between different visceral obesity indices and risk of MUNO, especially in hemodialysis patients. Moreover, no general agreement has been reached to date regarding which of these obesity indices performs best in identifying MUNO. We aimed to investigate the prevalence of MUNO in MHD patients and compare the associations between different adiposity indices (CVAI, ABSI,VAI, LAP, body mass index (BMI), waist circumference (WC) and waist-to-hip ratio (WHtR)) with MUNO risk in this population. Methods We conducted a multi-center cross-sectional study in Guizhou Province, Southwest China. 1302 nonobese adult MHD patients were included in our study. MUNO was defined as being nonobese and having the presence of > = 2 components of metabolic syndrome (MetS). Nonobese was defined as BMI less than 25 kg/m2. VAI, LAP, CVAI, ABSI, BMI, WC and WHtR were calculated. Logistic regression analyses and receiver operator curve (ROC) analyses were performed. Results 65.6% participants were metabolically unhealthy. The ROC curve analysis demonstrated that of the seven obesity indices tested, the VAI (AUC 0.84 for women and 0.79 for men) followed by LAP (AUC 0.78 for women and 0.72 for men) had the highest diagnostic accuracy for MUNO phenotype while ABSI exhibited the lowest AUC value for identifying MUNO phenotype Conclusions Metabolically unhealthy is highly prevalent in nonobese MHD patients. VAI and LAP outperformed CVAI in discriminating MUNO in MHD patients. Though ABSI could be a weak predictor of MUNO, it is not better than WHtR, WC and BMI.


Diabetes ◽  
2019 ◽  
Vol 68 (Supplement 1) ◽  
pp. 464-P
Author(s):  
BERNHARD ZIERFUSS ◽  
CLEMENS HOEBAUS ◽  
CARSTEN T. HERZ ◽  
RENATE KOPPENSTEINER ◽  
GERIT-HOLGER SCHERNTHANER

Endocrine ◽  
2016 ◽  
Vol 58 (2) ◽  
pp. 295-302 ◽  
Author(s):  
Francesco Ferraù ◽  
Federica Spagnolo ◽  
Oana Ruxandra Cotta ◽  
Laura Cannavò ◽  
Angela Alibrandi ◽  
...  

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