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ORIGINAL RESEARCH COMMUNICATION |
1 From the Department of Internal Medicine (SKK, HJK, KYH, SHC, CWA, SKL, KRK, HCL, KBH, and BSC) and Brain Korea 21 Project for Medical Science (SKK, CWA, SKL, KRK, HCL and BSC), Yonsei University College of Medicine, Seoul, Korea.
2 Supported by grant no. R13-2002-054-01001-0 (2002) from the Basic Research Program of the Korea Science & Engineering Foundation. 3 Address reprint requests to BS Cha, Department of Internal Medicine, Yonsei University College of Medicine, 134 Shinchon-Dong, Seodaemoon-Ku, PO Box 120-749, Seoul, Korea. E-mail: bscha{at}yumc.yonsei.ac.kr.
| ABSTRACT |
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Objective: We investigated whether visceral fat thickness (VFT) measured by ultrasonography can adequately assess visceral fat accumulation and predict cardiovascular or metabolic diseases.
Design: Diabetic patients (240 men and 106 women) underwent ultrasonography to estimate visceral fat accumulation.
Results: The visceral adipose tissue area had the best correlation with VFT (r = 0.799, P < 0.001). VFT correlated with HDL-cholesterol, triacylglycerol, and high-sensitivity C-reactive protein concentrations, the homeostasis model assessment for insulin resistance, and the intima-media thickness at the common carotid artery (r = -0.30, 0.39, 0.34, 0.31, and 0.33, respectively; P < 0.05) in men and with triacylglycerol and high-sensitivity C-reactive protein concentrations and the homeostasis model assessment for insulin resistance (r = 0.33, 0.44, and 0.30, respectively; P < 0.05) in women. Men in the middle and high VFT tertiles had a higher odds ratio (OR) of coronary artery disease [ORs: 4.48 (95% CI: 1.29, 5.51) and 2.04 (1.06, 3.94), respectively; P = 0.016], hypertriacylglycerolemia [ORs: 2.87 (1.41, 5.86) and 1.91 (1.24, 2.95), respectively; P = 0.003], and the metabolic syndrome [ORs: 3.38 (1.61, 7.10) and 1.95 (1.16, 3.27), respectively; P = 0.003] than did those in the low tertile, after adjustment for age, waist circumference, and body mass index.
Conclusion: VFT might be a reliable index for assessing the amount of visceral fat and for identifying diabetic patients, particularly men, who are at high risk of cardiovascular disease.
Key Words: Abdominal obesity cardiovascular disease coronary artery disease ultrasonography visceral fat waist circumference
| INTRODUCTION |
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Therefore, estimating the visceral fat accumulation is important in terms of evaluating patients with a higher risk of CVD. Currently, computed tomography (CT) at the abdominal level is recognized as the standard method (3). However, exposure to ionizing radiation, high cost, and low availability prevent the wide use of CT in clinical and epidemiologic studies. Therefore, alternative, simple, noninvasive methods of assessing visceral fat accumulation are needed. Such methods would include the anthropometric indexes, such as the body mass index (BMI; in kg/m2), waist circumference, and the waist-to-hip circumference ratio (WHR; 4); dual-energy X-ray absorptiometry (5); and ultrasonography (69). Ultrasonography is a reliable and convenient way of quantifying the amount of visceral fat, and the diverse ultrasonographic values were reported to be useful (611). Nevertheless, the absence of a useful measurement with established simplicity and reliability prevents the widespread use of ultrasonography. In addition, whether the ultrasonographically determined amount of visceral fat directly reflects the risk of CVD, other metabolic diseases (eg, hypertension, dyslipidemia, and metabolic syndrome), or both remains to be proven.
To assess the usefulness of ultrasonographic measurement for visceral fat, we investigated the correlation between the values measured with CT and with ultrasonography and the correlation between several ultrasonographic values and the risk factors of CVD. This study particularly focused on whether the visceral fat thickness (VFT) measured by ultrasonography could be an alternative index for estimating the risk of CVD and whether it could predict the presence of coronary artery disease (CAD) or other metabolic diseases.
| SUBJECTS AND METHODS |
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All the participants underwent the standard examination and testing, which included measurement of the concentrations of fasting glucose, total cholesterol, HDL cholesterol, triacylglycerol, high-sensitivity C-reactive protein (hsCRP), and insulin; blood pressure, height, weight, and waist and hip circumference measurements (by the same investigator); a resting electrocardiogram; and completion of a questionnaire on CVD and other diseases. As an indicator of insulin resistance, this study used an index for a homeostasis model assessment for insulin resistance (HOMA-IR), which was calculated as follows:
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The body fat distribution for all participants was estimated by ultrasonography, and CT scan was performed on only 75 of the subjects (50 men and 25 women). The study was approved by the Ethics Committee of Yonsei University College of Medicine, and written informed consent was obtained from each subject.
Anthropometric data
The height and weight were measured to the nearest 0.1 cm and 0.1 kg, respectively, while the subjects were wearing light clothing and not wearing shoes. The waist circumference was measured at the midpoint between the lateral iliac crest and the lowest rib, and the hip circumference was measured at the maximal protrusion of the greater trochanter.
Ultrasonography was performed by using a high-resolution ultrassonographic system (SA 9900; Medison, Seoul, Korea) as described by Suzuki et al (10) and Armellini et al (11). Briefly, the subjects were examined in the supine position. All frozen images were obtained immediately after respiration to avoid the influence of the respiratory status or abdominal wall tension. The maximum thickness of the preperitoneal fat (PFTmax) and the minimum thickness of the subcutaneous fat (SFTmin) were measured by longitudinal scanning with the use of a 7.5-MHz linear probe from the xiphoid process to the umbilicus along the linea alba. The preperitoneal fat thickness was defined as the thickness of the fat tissue between the liver surface and the linea alba, and the subcutaneous fat thickness was defined as the thickness of the fat tissue between the skin-fat interface and the linea alba. Thereafter, transverse scanning was performed to measure the maximum subcutaneous fat thickness (SFTmax) by using a 7.5- MHz probe and to measure VFT by using a 3.5-MHz probe; both measures were obtained 1 cm above the umbilicus. VFT was defined as the distance between the anterior wall of the aorta and the internal face of the rectoabdominal muscle perpendicular to the aorta. The ratio of PFTmax to SFTmin was calculated and is referred to as the abdominal wall fat index (AFI). The ratio of VFT to SFTmax was calculated as the value corresponding to the CT-determined ratio of visceral fat area (VFA) to subcutaneous fat area (SFA) (VSR).
CT scanning was carried out on the same day as ultrasonography. The CT scans were performed (Tomoscan 350; Philips, Mahway, NJ) to measure the VFA and SFA at L4L5 and the muscle and fat areas at midthigh (the midpoint of the upper border of the patella and the greater trochanter). Adipose tissue was defined as having a density of -150 to -50 Hounsfield units, and muscle tissue was defined as having a density of -49 to 100 Hounsfield units (12). The VSR and the ratio of the VFA to the muscle area (VMR) were calculated.
The bilateral common carotid arteries (CCAs) were scanned by using the SA9900 system (Medison) with a 7.5-MHz linear transducer. Scanning was performed at the far wall of the middle and distal CCAs by using a lateral longitudinal projection. The intima-media thickness (IMT) at the CCA, which is defined as the distance between the media-adventitia interface and the lumen-intima interface, was measured at the point of the greatest thickness and at 1 cm upstream and 1 cm downstream of that point with the use of a Digimatic electronic caliper (Mitutoyo, Kawasaki, Japan). The mean IMT was defined as the mean of 6 measurements, and the maximum IMT was defined as the largest of 6 measurements. The same investigator performed all the ultrasonographic procedures used to estimate the fat distribution and the IMT.
Definition of terms
As detailed in the report of the Adult Treatment Panel III (13), metabolic syndrome was defined the presence of
2 of the conditions hypertriacylglycerolemia, low-HDL cholesterolemia, and hypertension. Dyslipidemia was defined as hypertriacylglycerolemia (
1.7 mmol/L, or
150 mg/dL), low-HDL cholesterolemia (< 1.0 mmol/L, or < 40 mg/dL, in men; < 1.3 mmol/L, or < 50 mg/dL, in women), or receipt of hypolipidemic treatment. Hypertension was defined as a systolic blood pressure of
130 mm Hg and a diastolic blood pressure of
85 mm Hg, and the use of antihypertensive agents was also considered to indicate hypertension. In this study, abdominal obesity was not included in the component of metabolic syndrome because subjects with a larger waist circumference have a longer VTF, and that fact might bias the results.
Analytic methods
The serum glucose concentrations were determined by using the glucose oxidase method. The plasma insulin concentrations were measured by using a radioimmunoassay according to a double-antibody method and with a commercially available radioimmunoassay kit (Linco Research Inc, St Charles, MO). The serum cholesterol and triacylglycerol concentrations were measured enzymatically. The hsCRP concentration was quantified by using a Nephelometer II (Dade Behring Diagnostics, Marburg, Germany; 14).
Statistical analysis
Statistical analyses were performed by using SPSS software (version 10.0; SPSS Inc, Chicago) and were carried out separately in men and women because of the significant difference in body fat distribution between the sexes. The associations between the continuous variables were determined by using Pearsons correlation coefficients. The intergroup comparisons were performed by using an independent-sample t test and a one-way analysis of variance followed by Scheffes post hoc test. The prevalence and risk relation of CAD or the other metabolic diseases among the groups were compared by using a chi-square test. Logistic regression, which was adjusted for age, waist circumference, and BMI, was used to analyze the associations between the tertiles of the VFT and the presence of CAD or other metabolic diseases. A low tertile of VFT was used as the reference category [odds ratio (OR): 1.00]. Receiver operating characteristic (ROC) curve analyses were performed to determine the sensitivity and specificity of using VFT as a forecaster of metabolic syndrome. P values < 0.05 were considered significant.
| RESULTS |
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The anthropometric characteristics of the 75 subjects who underwent CT scanning are listed in Table 2
. No differences in age, BMI, waist circumference, WHR, or the total abdominal fat area were observed between the men and the women. Nevertheless, the men had less subcutaneous fat deposition and a higher VSR than did the women. These differences identified by CT scan were also observed in the ultrasonographic assessment.
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Correlations between several ultrasonographic values and clinical and laboratory data
The correlation coefficients between the ultrasonographic values and the clinical data are shown in Table 4
. In the men, VFT correlated with BMI; waist circumference; concentrations of serum HDL cholesterol (negatively), triacylglycerol, hsCRP, and insulin; triacylglycerol:HDL cholesterol; HOMA-IR; and the mean and maximum IMT. In addition, VFT correlated with BMI, waist circumference, triacylglycerol and hsCRP concentrations, triacylglycerol:HDL cholesterol, and HOMA-IR in the women.
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Association between VFT and the prevalence of CAD and metabolic diseases
Next, this study compared the prevalence of CAD, hypertension, dyslipidemia (hypertriacylglycerolemia, low-HDL cholesterolemia, or both), and metabolic syndrome in the men and the women according to VFT tertile (Table 5
). Men in the middle and high VFT tertiles had a greater prevalence of CAD, hypertriacylglycerolemia, low-HDL cholesterolemia, and metabolic syndrome than did those in the low tertile. In women, the prevalence of dyslipidemia and metabolic syndrome was higher in the middle and high tertiles than in the low tertile. However, the prevalence of CAD did not differ significantly among tertiles.
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| DISCUSSION |
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Body fat distribution varies considerably, even among people with similar total fat amounts. It is well known that visceral obesity may be a better predictor of metabolic syndromeincluding hyperinsulinemia, glucose intolerance, dyslipidemia, and CVDand cancer than may general obesity (1, 15). In addition, subjects judged by the BMI criteria to be lean may be insulin resistant if they have centrally located body fat (16).
Several methods of assessing the amount of visceral fat accumulation have been investigated. The simplest way is to use an anthropometric index such as BMI, waist circumference, WHR, abdominal sagittal diameter (4), or neck circumference (17). These values provide a fast, easy, and noninvasive method of assessing regional adiposity, particularly in epidemiologic studies (18, 19). However, it is possible that substantial variations in the visceral fat content may be observed among persons with a similar waist circumference or WHR value because these indexes are not the direct methods of quantifying the amount of fat or of discriminating between visceral and subcutaneous fat. Accordingly, alternative and reliable methods are needed to overcome these pitfalls of anthropometric indexes.
Although ultrasonography is not a method normally used to quantify the amount of fat, this study suggests that it may be an alternative method of assessing visceral adiposity. Furthermore, the ORs for CAD [ORs: 4.48 (95% CI: 1.29, 5.51) and 2.04 (95% CI: 1.06, 3.94); P = 0.016], hypertriacylglycerolemia [ORs: 2.87 (95% CI: 1.41, 5.86) and 1.91 (95% CI: 1.24, 2.95); P = 0.003], and metabolic syndrome [ORs: 3.38 (95% CI: 1.61, 7.10) and 1.95 (95% CI: 1.16, 3.27); P = 0.003] in the men in the middle and high VFT tertiles, respectively, were significantly higher than those in the men in the low tertile, even after adjustment for age, waist circumference, and BMI. In addition, the VFT correlated with several risk factors for CVD, such as the fasting plasma triacylglycerol, hsCRP, and insulin concentrations; triacylglycerol:HDL cholesterol; and HOMA-IR. These correlations with VFT were relatively stronger than were those with the waist circumference or other ultrasonographic values. Moreover, the mean and maximum IMTs at the CCA, which are a marker of early atherosclerosis, correlated with VFT (r = 0.33 and 0.24, respectively; P < 0.05) and VFT:SFTmax (r = 0.30 and 0.23, respectively; P < 0.05) in men, but did not correlate with the other anthropometric and imaging values, except for waist circumference, which showed a weak correlation with the mean IMT (r = 0.20, P < 0.05).
In addition, this study suggested that a VFT of 47.6 and 35.5 mm in the men and the women, respectively, was a cutoff for predicting the presence of CAD and various metabolic diseases. In the case of metabolic syndrome, these cutoff values for VFT were shown to have high specificity and sensitivity in both sexes. Therefore, the ultrasonographic measurement of VFT might be a good method of predicting CAD, metabolic diseases, or both and of evaluating the risk of CVD without the limitations of the anthropometric indexes.
Although the PFTmax measured by ultrasonography was previously reported to correlate positively with the VFA measured by CT (10), we did not observe this correlation. This discrepancy may result from the irreproducibility of the PFTmax measurements or from differences in the measuring sites. The sites were not fixed because PFTmax was measured at the thickest point in the preperitoneal fat. Therefore, it is likely that PFTmax has a high degree of irreproducibility and that it may be an unadvisable measure in clinical or epidemiologic studies. In the present study, the intraobservational and interobservational CVs for VFT were lower (1.52.0% and 1.83.0%, respectively) than those for the other ultrasonographic measurements (1.85.2% and 3.58.1%, respectively). In addition, VFT had a better correlation with VFA (r = 0.799, P < 0.001) than with the other ultrasonographic values and with waist circumference. Therefore, VFT appears to be more reliable in estimating the amount of visceral fat accumulation than are the other ultrasonographic indexes.
This study had several limitations. First, it was performed only in a Korean population. Accordingly, the VFT cutoffs used for predicting the presence of CAD, metabolic diseases, or both may differ from those in other ethnic groups. Second, because all the participants were diabetic and almost every patient was being treated with oral hypoglycemic, antihypertensive, or hypolipidemic agents, all of which are capable of affecting the serum lipid concentration and insulin sensitivity, it is possible that the interrelations between VFT and the metabolic values related to the risks of CVD were weakened. We believe that, had healthy subjects been used in this study, a more conspicuous relation between VFT and the CVD risk would have been found. Third, whereas VFT in the men reasonably reflected CVD risk, it did not do so in the women. The divergent significances of VFT according to the sex appear to be due to the lower prevalence of CAD in Korean women than in men. In addition, this study did not analyze the role of VFT in the women after grouping them according to premenopausal and postmenopausal states. Accordingly, additional work will be needed to validate the value of using VFT in women.
In conclusion, VFT measured by ultrasonography was strongly correlated with the amount of visceral fat and the risk factors associated with CVD. A higher VFT was found to independently predict CAD and metabolic diseases in the men. Therefore, we believe that VFT is a more useful index than are the other ultrasonographic values or anthropometric indexes, not only for assessing visceral obesity but also for screening patients, particularly men, with a higher risk of CAD, metabolic diseases, or both.
| ACKNOWLEDGMENTS |
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SKK performed the study design, data collection, ultrasonographic measurements, and statistical data analysis, and he wrote the manuscript. HJK and KYH performed the data collection and were responsible for quality control of the ultrasonographic measurements. SHC and CWA supervised the data collection. SKL, KRK, and HCL provided significant expertise and reviewed the manuscript. KBH provided the conception for the study. BSC contributed to the design and conduct of this study and provided critical revision of the manuscript. None of the authors had any financial, personal, or professional conflict of interest.
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