scholarly journals Optimal cut‐points of visceral adipose tissue areas for cardiometabolic risk factors in a Chinese population: a cross‐sectional study

2019 ◽  
Vol 36 (10) ◽  
pp. 1268-1275 ◽  
Author(s):  
L. Huo ◽  
K. Li ◽  
W. Deng ◽  
L. Wang ◽  
L. Xu ◽  
...  
BMJ Open ◽  
2020 ◽  
Vol 10 (8) ◽  
pp. e031181
Author(s):  
Sunmi Yoo ◽  
Myung-Whun Sung ◽  
Hongdae Kim

ObjectivesVisceral adipose tissue (VAT) is closely related to obesity complications. We aimed to determine the optimal sex-specific and age-specific VAT thresholds for predicting metabolic complications among individuals living in the United Arab Emirates (UAE).DesignRetrospective cross-sectional study.SettingWe reviewed medical records of adults who visited a hospital in the UAE.ParticipantsA total of 369 subjects were included in the final analysis after application of inclusion and exclusion criteria.Primary outcome measuresThe prevalence of metabolic syndrome (MES).ResultsMES measures excluding waist circumference were present in 73.4% of women and 78.5% of men. VAT areas adjusted for age were significantly greater in the MES group compared with the non-MES group regardless of sex (p<0.05 for all relations); however, subcutaneous adipose tissue areas adjusted for age were not significantly different. Areas under the curve used to predict MES were statistically significant for VAT and visceral to subcutaneous fat ratios among both men and women. Identified cut-off values of VAT to predict MES were 132.0 cm2 in both sexes for individuals under the age of 50 years. For those over 50 years of age, VAT thresholds were greater in women compared with men (173 cm2 vs 124.3 cm2, respectively).ConclusionsOptimal VAT cut-offs to predict MES were 132 cm2 for individuals under 50 years old living in the UAE. These measures are potential target visceral fat values that could be used to reduce obesity-related morbidity in populations with pre-existing metabolic complications.


2020 ◽  
Author(s):  
Juan Reyes-Barrera ◽  
Victor H. Sainz-Escárrega ◽  
Aida X. Medina-Urritia ◽  
Esteban Jorge-Galarza ◽  
Horacio Osorio-Alonso ◽  
...  

Abstract BackgroundCompared to body mass index (BMI), waist circumference (WC), and adiposity measurements, adipose tissue morpho-functionality evaluations are more consistent predictors of cardiometabolic abnormalities. However, these evaluations require determination of adipokines and other non-routine biochemical parameters, which is not feasible in clinical practice. The present study establishes dysfunctional adiposity index (DAI) as a simple, accessible, and reliable marker of early adipocytes morpho-functional abnormalities and cardiometabolic diseases.MethodsTo establish the DAI constant parameters, 340 subjects (134 males and 206 females) without cardiovascular risk factors were selected from a cross-sectional study. Then, DAI was calculated in 36 healthy subjects who underwent subcutaneous adipose tissue biopsy, for whom adipocytes number and size, body composition, circulating adipokines, glucose, insulin, and lipids were also determined. The correlation of DAI with adipocyte morphology (size/number of adipocytes) and functionality (adiponectin/leptin ratio) was analyzed. The receiver operating characteristic curve was used to define the optimal DAI cut-off point to identify metabolic abnormalities. Finally, the independent association of DAI with cardiometabolic abnormalities was determined in 1418 subjects from the cross-sectional study through multivariate analyses.ResultsThe constant parameters to calculate the DAI were [WC/[22.79+[2.68*BMI]]]*[triglycerides (TG, mmol/L)/1.37]*[1.19/high density lipoprotein-cholesterol (HDL-C, mmol/L)] for males, and [WC/[24.02+[2.37*BMI]]]*[TG(mmol/L)/1.32]*[1.43/HDL-C(mmol/L)] for females. In subjects underwent biopsy, DAI correlated with adipocytes mean area (r=0.358; p=0.032), adipocyte number (r=-0.381; p=0.024), adiponectin/leptin ratio (r=-0.483; p=0.003), and systemic inflammation markers. Compared to BMI, WC, and visceral fat, DAI was the only determination associated with insulin resistance (area under the curve: 0.743; p = 0.017). In the cross-sectional study, DAI ≥1.065 was independently associated with diabetes (OR: 1.96; 95%CI: 1.36-2.84), non-alcoholic fatty liver disease (OR: 2.57; 95%CI: 1.98-3.33), subclinical atherosclerosis (OR: 1.74; 95%CI: 1.02-2.94), and hypertension (OR: 1.44; 95%CI: 1.10-1.88).ConclusionsThe present study establishes the constant parameters to calculate the DAI and highlights that a DAI ≥ 1.065 is associated with early cardiometabolic abnormalities independently of adiposity and other risk factors. Since DAI is calculated using accessible parameters routinely used in the clinic, this indicator can be easily incorporated in clinical practice for the early identification of adipose tissue abnormalities in apparently healthy subjects.


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