Use of visceral fat percentage and body fat percentage compared to anthropometric parameters in predicting obesity and cardiovascular risk in Sri Lankan population

2014 ◽  
Author(s):  
Nayananjani Karunasena ◽  
Uditha Bulugahapitiya ◽  
Pubudu Chulasiri ◽  
Shalika Ariyawansa
2020 ◽  
Author(s):  
Xia Sun ◽  
Liping Chen ◽  
Rongzhen Wu ◽  
Dan Zhang ◽  
Yinhui He

Abstract Background: This study compared the relationship between thyroid hormones and lipid metabolism/body fat content in euthyroid male patients with type 2 diabetes mellitus (T2DM) in China. Methods: A total of 64 male patients who were diagnosed as T2DM and 64 non-diabetic males who underwent health examination were matched according to age at a 1:1 ratio. Results: The 32 subjects in each sub-group showed differences in age, body mass index (BMI), mean arterial pressure, waist circumference, visceral fat content, body fat percentage, HbA1c, HOMA-IR, FT3, TSH, HDL-c, adiponectin, leptin, visfatin and TNF-α (all P < 0.05). In the overall population, FT3 was positively correlated with body fat percentage (r=0.21, P=0.02), and negatively correlated with HOMA-IR (r=-0.18, P=0.04) and visfatin (r=-0.47, P <0.01); TSH was positively correlated with body fat percentage (r=0.23, P=0.01). In the T2DM-OB group FT3 was positively correlated with BMI (r=0.45, P <0.05), visceral fat content (r=0.50, P <0.05), and body fat percentage (r=0.44, P <0.05); FT4 was positively correlated with visceral fat content (r=0.38, P <0.05); and TSH was positively correlated with HOMA-IR (r=0.39, P <0.05). Conclusion: TSH increased in obese people and FT3 was lower in patients with T2DM.


Metabolism ◽  
2009 ◽  
Vol 58 (6) ◽  
pp. 765-771 ◽  
Author(s):  
Young Gyu Cho ◽  
Hong Ji Song ◽  
Jin Myoung Kim ◽  
Kyung Hee Park ◽  
Yu Jin Paek ◽  
...  

2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
Ewa Jednacz ◽  
Lidia Rutkowska-Sak

The study was aimed to evaluate cardiovascular risk parameters, body mass index (BMI) centiles for sex and age, and body fat percentage using the electric bioimpedance method in children with juvenile idiopathic arthritis (JIA). 30 children with JIA participated in the study. A control group included 20 children. Patients were well matched for the age and sex. The body mass and body fat percentage were determined using the segmental body composition analyser; the BMI centiles were determined. All patients had the following parameters determined: lipid profile, hsCRP, homocysteine, and IL-6. The intima media thickness (IMT) was measured. Patients with JIA had significantly lower body weight, BMI, and the BMI centile compared to the control group. The IL-6 levels were significantly higher in patients with JIA compared to the control group. There were no differences between two groups with regard to the lipid profile, % content of the fat tissue, homocysteine levels, hsCRP, and IMT. Further studies are necessary to search for reasons for lower BMI and BMI centile in children with JIA and to attempt to answer the question of whether lower BMI increases the cardiovascular risk in these patients, similarly as in patients with rheumatoid arthritis (RA).


2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Paul Pettersson-Pablo ◽  
Yang Cao ◽  
Torbjörn Bäckström ◽  
Torbjörn K. Nilsson ◽  
Anita Hurtig-Wennlöf

Abstract Background Identification of early signs of atherosclerosis in young adults have the potential to guide early interventions to prevent later cardiovascular disease. We therefore analyzed measures of vascular structure and function and biomarkers of cardiovascular risk in a sample of young healthy adults. Methods Pulse-wave velocity (PWV), carotid-intima media thickness (cIMT) and augmentation index (AIX) were measured in 834 healthy non-smokers (ages 18.0–25.9). Emphasis was put on discriminating between individuals having a vascular structure and function associated with a higher or lower risk, and cluster analysis algorithms were employed to assign the subjects into groups based on these vascular measurements. In addition, a vascular status score (VSS) was calculated by summarizing the results according to quintiles of the vascular measurements. The associations between VSS and cardiovascular biomarkers were examined by regression analyses. Results The cluster analyses did not yield sufficiently distinct clustering (groups of individuals that could be categorized unequivocally as having either a vascular structure and function associated with a higher or lower CVD risk). VSS proved a better classificatory variable. The associations between VSS and biomarkers of cardiovascular risk were analyzed by univariable and multivariable regressions. Only body fat percentage and C-reactive protein (CRP) were independently associated with VSS. Conclusions A VSS calculation, which integrates PWV, cIMT, and AIX measurements is better suited for cardiovascular risk evaluation in young adults than cluster analyses. The independent associations of VSS with body fat percentage and CRP highlight the decisive role of adiposity and systemic inflammation in early atherosclerotic progression and suggests a subordinate role of insulin and lipid metabolism in this age span.


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