scholarly journals Visceral adiposity index is associated with silent brain infarct in a healthy population

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Ki-Woong Nam ◽  
Hyung-Min Kwon ◽  
Han-Yeong Jeong ◽  
Jin-Ho Park ◽  
Hyuktae Kwon ◽  
...  

Abstract Visceral adiposity index (VAI) has been associated with various cardio-metabolic diseases; however, there is limited information about its association with cerebrovascular diseases. In this study, we evaluated the relationship between VAI and silent brain infarct (SBI). We evaluated a consecutive series of healthy volunteers over the age of 40 between January 2006 and December 2013. SBI was defined as an asymptomatic, well-defined lesion with a diameter ≥ 3 mm with the same signal characteristics as the cerebrospinal fluid. VAI was calculated using sex-specific equations as described in previous studies. A total of 2596 subjects were evaluated, and SBI was found in 218 (8%) participants. In multivariable analysis, VAI (adjusted odds ratio [aOR] = 1.30; 95% confidence interval [CI] 1.03–1.66; P = 0.030) remained a significant predictor of SBI after adjustment for confounders. The close relationship between VAI and SBI was prominent only in females (aOR = 1.44; 95% CI 1.00–2.07; P = 0.048). In the evaluation between VAI and the burden of SBI, VAI showed a positive dose–response relationship with the number of SBI lesions (P for trend = 0.037). High VAI was associated with a higher prevalence and burden of SBI in a neurologically healthy population.

2020 ◽  
Author(s):  
Ki-Woong Nam ◽  
Hyung-Min Kwon ◽  
Han-Yeong Jeong ◽  
Jin-Ho Park ◽  
Hyuktae Kwon ◽  
...  

Abstract Background Visceral adiposity index (VAI) is a novel indicator of the mass and function of visceral adipose tissue, and it has been associated with metabolic disease, cardiovascular disease, and subclinical atherosclerosis; however, there is limited information about its association with cerebrovascular diseases, especially in subclinical pathology. In this study, we evaluated the relationship between VAI and silent brain infarct (SBI) in a healthy population. Methods We evaluated a consecutive series of healthy volunteers over the age of 40 between January 2006 and December 2013. SBI was defined as an asymptomatic, well-defined lesion with a diameter ≥ 3 mm with the same signal characteristics as the cerebrospinal fluid on T1- or T2 weighted images. VAI was calculated using sex-specific equations as described in previous studies, and was based on a number of parameters including waist circumference, triglycerides, high-density lipoprotein cholesterol, and body mass index. Results A total of 2,596 subjects were evaluated (mean age 56y, male sex: 54%), and SBI was found in 218 (8%) participants. In multivariable analysis, VAI (adjusted odds ratio [aOR] = 1.30; 95% confidence interval [CI] = 1.03–1.66; P = 0.030) remained a significant predictor of SBI after adjustment for confounders. On the other hand, visceral adipose tissue area on computed tomography did not show any statistical significance with SBI. The close relationship between VAI and SBI was prominent only in females (aOR = 1.44; 95% CI = 1.00-2.07; P = 0.048). In the evaluation between VAI and the burden of SBI, VAI showed a positive dose-response relationship with the number of SBI lesions (P for trend = 0.037). Conclusions High VAI was associated with a higher prevalence and burden of SBI in a neurologically healthy population, especially in females. Our findings indicate that VAI could be used as a simple and convenient predictor for SBI.


Diabetes ◽  
2018 ◽  
Vol 67 (Supplement 1) ◽  
pp. 2091-P
Author(s):  
CHRISTOPH H. SAELY ◽  
ALEXANDER VONBANK ◽  
CHRISTINE HEINZLE ◽  
DANIELA ZANOLIN ◽  
BARBARA LARCHER ◽  
...  

Nutrients ◽  
2020 ◽  
Vol 12 (9) ◽  
pp. 2666 ◽  
Author(s):  
Wei-Lun Wen ◽  
Chih-Wen Wang ◽  
Da-Wei Wu ◽  
Szu-Chia Chen ◽  
Chih-Hsing Hung ◽  
...  

Previous studies have revealed associations between heavy metals and extensive health problems. However, the association between heavy metals and metabolic problems remains poorly defined. This study aims to investigate relationships between heavy metals and metabolic syndrome (MetS), lipid accumulation product (LAP), visceral adiposity index (VAI), and anthropometric indices, including body roundness index (BRI), conicity index (CI), body adiposity index (BAI), and abdominal volume index (AVI). We conducted a health survey of people living in southern Taiwan. Six heavy metals were measured: lead (Pb) in blood and nickel (Ni), chromium (Cr), manganese (Mn), arsenic (As), and copper (Cu) in urine. A total of 2444 participants (976 men and 1468 women) were enrolled. MetS was defined according to the Adult Treatment Panel III for Asians. Multivariable analysis showed that participants with high urine Ni (log per 1 μg/L; odds ratio (OR): 1.193; 95% confidence interval (CI): 1.019 to 1.397; p = 0.028) and high urine Cu (log per 1 μg/dL; OR: 3.317; 95% CI: 2.254 to 4.883; p < 0.001) concentrations were significantly associated with MetS. There was a significant trend of a stepwise increase in blood Pb and urine Ni, As, and Cu according to the number of MetS components (from 0 to 5, a linear p ≤ 0.002 for trend). For the determinants of indices, urine Cu was positively correlated with LAP, BRI, CI, and VAI; blood Pb was positively correlated with BRI, BAI, and AVI; urine Ni was positively correlated with LAP. High urine Cu and urine Ni levels were significantly associated with MetS, and there was a significant trend for stepwise increases in blood Pb and urine Ni, As, and Cu, accompanied by an increasing number of MetS components. Furthermore, several indices were positively correlated with urine Cu, urine Ni, and blood Pb.


2021 ◽  
Vol 121 (9) ◽  
pp. A23
Author(s):  
L. Knol ◽  
K. Crowe-White ◽  
C. Brantley ◽  
K. Senkus ◽  
S. Appel ◽  
...  

2021 ◽  
Vol 62 (1) ◽  
Author(s):  
Şengül K. ŞAHIN ◽  
Lütfiye ŞIMŞEK ◽  
Perihan G. AKSOY ◽  
Gülçin ELBOĞA ◽  
Abdurrahman ALTINDAG ◽  
...  

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