No abstract available.
Intra-Abdominal Fat*

No abstract available.
Esophagitis* ; Intra-Abdominal Fat*

No abstract available.
Colorectal Surgery* ; Intra-Abdominal Fat*

No abstract available.
Cytokines* ; Esophagitis, Peptic* ; Intra-Abdominal Fat*

No abstract available.
Caloric Restriction ; Intra-Abdominal Fat ; Muscles

No abstract available.
Caloric Restriction ; Intra-Abdominal Fat ; Muscles

PURPOSE: It has been generally recognized that fatty liver can often be seen in the obese population. This study was conducted in order to evaluate the association between fatty liver and abdominal fat volume. MATERIALS AND METHODS: A total of 105 patients who visited our obesity clinic in the recent three years underwent fat CT scans and abdominal US. Attenuation difference between liver and spleen on CT was considered as a reference standard for the diagnosis of fatty liver. On US, the echogenicity of the liver parenchyma was measured in three different regions of interest (ROI) close to the adjacent right kidney in the same slice, avoiding vessels, bile duct, and calcification. Similar measurements were performed in the right renal cortex. The mean values were calculated automatically on the histogram of the ROI using the PACS program. The hepatorenal echogenicity ratio (HER; mean hepatic echogenicity/mean renal echogenicity) was then calculated. Abdominal fat volume was measured using a 3 mm slice CT scan at the L4/5 level and was calculated automatically using a workstation. Abdominal fat was classified according to total fat (TF), visceral fat (VF), and subcutaneous fat (SF). We used Pearson's bivariate correlation method for assessment of the correlation between HER and TF, VF, and SF, respectively. RESULTS: Significant correlation was observed between HER and abdominal fat (TF, VF, and SF). HER showed significant correlation with VF and TF (r = 0.491 and 0.402, respectively; p = 0.000). The correlation between HER and SF (r = 0.255, p = 0.009) was less significant than for VF or TF. CONCLUSIONS: Fat measurement (HER) by hepatic ultrasound correlated well with the amount of abdominal fat. In particular, the VF was found to show a stronger association with fatty liver than SF.
Abdominal Fat ; Bile Ducts ; Fatty Liver ; Humans ; Intra-Abdominal Fat ; Kidney ; Liver ; Obesity ; Spleen ; Subcutaneous Fat

This study was performed to examine the diet effect of green coffee bean extract on body fat reduction. Overweight/obese women (body mass index > 23 kg/m2 or body fat > 27%) who were not diagnosed any type of disease were included in this study and subjects were randomly assigned to green coffee bean extract group (n = 23) or placebo group (n = 20). We measured anthropometric parameters, abdominal fat distribution by computed tomography and blood components before and after the 8-weeks intervention period. After supplementation, green coffee bean extract group showed a significant reduction of body weight (p < 0.01), body fat percent (p < 0.01), total fat area at L1 vertebra (-4.8%, p < 0.05) and visceral fat area at L4 vertebra was(-4.7%, p < 0.05). In addition, total fat area and visceral fat area at L1 vertebra decreased significantly in green coffee bean extract group compared with placebo group (p < 0.05, p < 0.05 respectively). The result of present study demonstrated that the supplementation of green coffee bean extract for 8 weeks can give beneficial effects on body fat reduction and visceral fat accumulation.
Abdominal Fat ; Adipose Tissue ; Body Weight ; Coffee ; Diet ; Female ; Humans ; Intra-Abdominal Fat ; Spine

Obesity was characterized in Korean elementary students using different obesity assessment tests on 103 overweight elementary students from three schools of Jeonbuk Province. The body mass index (BMI) and obesity index (OI) were compared, and the data using DEXA and CT were compared with the data using BIA and a tape measure. The results of this study are as follows: first, 27 students who were classified as obese by OI were classified as overweight by BMI, and 3 students who were classified as standard weight by BMI were classified as overweight by OI. Secondly, by DEXA and BIA measurements, there was 1.51% difference in body fat percentage (boys 1.66%, girls 1.17%) and the difference in body fat mass between boys and girls was 0.77 kg (boys 0.85 kg, girls 0.59 kg), but those differences in body fat percentage and mass were not statistically significant. Thirdly, the average total abdominal fat (TAF) measured by CT scans of obese children was more significantly related with subcutaneous fat (r = 0.983, P < 0.01) than visceral fat (r = 0.640, P < 0.01). Also, TAF were highest significant with waist circumference by a tape measure (r = 0.744, P < 0.01). In summary, as there are some differences of assessment results between two obesity test methods (BMI, OI), we need more definite standards to determine the degree of obesity. The BIA seems to be the most simple and effective way to measure body fat mass, whereas waist/hip ratio (WHR) using a tape measurer is considered to be the most effective method for assessing abdominal fat in elementary students.
Abdominal Fat ; Adipose Tissue ; Anthropometry ; Body Mass Index ; Child ; Humans ; Intra-Abdominal Fat ; Obesity ; Overweight ; Subcutaneous Fat ; Waist Circumference

PURPOSE: Visceral adipose tissue may be strongly linked to increased metabolic risks in adults. However, because little is known regarding the effect of visceral adipose tissue in children and adolescents, we performed this study to determine the association between abdominal fat distribution and metabolic risk factors in this population. METHODS: One hundred one children and adolescents (78 males and 23 females; mean age, 10.8+/-2.4 years) were enrolled. The anthropometric data and metabolic risk factors were evaluated. Theabdominal fat distribution was assessed according to the CT measurement. Age-adjusted, partial correlations were performed among the visceral adipose fat area (VFA), subcutaneous adiposefat area (SFA), metabolic risk factors, and anthropometrics. RESULTS: The SFA increased more rapidly than the VFA with advancing years in both genders. In males, the VFA and SFA were positively correlated with anthropometrics. The VFA was correlated with low HDL-cholesterol and the SFA was correlated with diastolic blood pressure (DBP). However, there was no statistical significance between the VFA, SFA, anthropometrics, and other metabolic risk factors. The VFA and SFA were strongly linked to a number of metabolic risk factors, such as other anthropometrics. CONCLUSION: This study investigated how a low HDL-C was correlated with VFA and how a high DBP was associated with SFA in Korean male children and adolescents. Our results suggest that the correlation between the VFA, SFA, and metabolic risk factors was relatively weak compared to that reported in previous adult studies.
Abdominal Fat ; Adolescent ; Adult ; Blood Pressure ; Child ; Humans ; Intra-Abdominal Fat ; Male ; Obesity ; Risk Factors ; Subcutaneous Fat