Compatibility of different methods for the measurement of visceral fat in different body mass index strata.
OBJECTIVE
Obesity, particularly visceral obesity, is associated with increased risk of cardiovascular morbidity and mortality. Therefore, cardiovascular risk should be determined by evaluating visceral fat tissue not only in obese individuals but also in non-obese individuals. We aimed to evaluate the comparison of visceral fat tissue measurement methods with computed tomography (CT).


METHODS
One hundred four participants, 19 to 58 years of age (21 males, 83 females) were enrolled in this study. Participants underwent anthropometric evaluation, bioelectrical impedance analysis (BIA), ultrasonography (US), and CT examinations on the same day.


RESULTS
The mean body mass index (BMI) was 31.2 +/- 8.7 kg/m2 (73 individuals [70.2%] had BMI > or =30, and 31 individuals [29.8%] had BMI < 30). The non-obese group (BMI < 30) that showed the best correlation coefficient values were for visceral fat area (VFA) by BIA in all participants, males and women (r = 0.902, P < 0.001; r = 0.994, P < 0.001; r = 0.645, P = 0.01, respectively); in case of BMI > or =30 the best correlation coefficient values were for VFA by BIA (r = 0.774, P < 0.001) for all participants, and visceral fat thickness by US for males (r = 0.851, P < 0.001), and BMI (r = 0.786, P < 0.001) for females. Using multiple stepwise regression analysis, the methods best reflecting VFA by CT were as follows: In subjects with BMI < 25, BIA correlated best with CT measures of VFA; while in subjects with BMI > 30 waist-to-hip ratio showed the best correlation with CT measures of VFA. The method best reflecting VFA by CT was visceral thickness by US in males; and the method best reflecting VFA by CT in females was visceral thickness by US, BMI and waist circumference.


CONCLUSIONS
Anthropometric measurements and visceral fat tissue measurement methods such as US and BIA exhibit differences with respect to compliance with CT results in visceral fat tissue measurements by gender and BMI levels.
Berker
Dilek
D
Clinics of Endocrinology and Metabolism, Ankara Numune Research and Training Hospital, Ankara, Turkey.
Koparal
Süha
S
Işik
Serhat
S
Paşaoğlu
Lale
L
Aydin
Yusuf
Y
Erol
Kutlu
K
Delibaşi
Tuncay
T
Güler
Serdar
S
D000273:Adipose Tissue / Q000033:anatomy & histology* / Q000000981:diagnostic imaging; D000328:Adult; D000886:Anthropometry; D001823:Body Composition; D001827:Body Height; D015992:Body Mass Index; D001835:Body Weight; D003920:Diabetes Mellitus / Q000453:epidemiology; D017097:Electric Impedance; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D009765:Obesity / Q000150:complications / Q000000981:diagnostic imaging; D012044:Regression Analysis; D012307:Risk Factors; D014057:Tomography, X-Ray Computed; D014463:Ultrasonography; D055105:Waist Circumference; D049629:Waist-Hip Ratio; D055815:Young Adult