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    J Korean Med Sci. 2011 Jul;26(7):906-913. English.
    Published online Jun 20, 2011.
    https://doi.org/10.3346/jkms.2011.26.7.906
    © 2011 The Korean Academy of Medical Sciences.
    Original Article

    Gender Differences in Diagnostic Values of Visceral Fat Area and Waist Circumference for Predicting Metabolic Syndrome in Koreans

    Hong Il Kim,1,2,* Jin Taek Kim,1,‡ Sung Hoon Yu,1,† Soo Heon Kwak,1 Hak Chul Jang,1 Kyong Soo Park,1,2 Seong Yeon Kim,1 Hong Kyu Lee,1,‡ and Young Min Cho1
      • 1Divisions of Endocrinology and Metabolism, Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea.
      • 2Department of Molecular Medicine and Biopharmaceutical Sciences, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, Korea.
    • Address for Correspondence: Young Min Cho, MD. Department of Internal Medicine, Seoul National University College of Medicine, 101 Daehak-ro, Jongno-gu, Seoul 110-744, Korea. Tel: +82.2-2072-1965, Fax: +82.2-762-9662, Email: ymchomd@snu.ac.kr

      Current address: *Division of Endocrinology and Metabolism, Department of Internal Medicine, Korea Cancer Center Hospital, Seoul, Korea.

      †Department of Internal Medicine, Hangang Sacred Heart Hospital, Hallym University College of Medicine, Seoul, Korea.

      ‡Division of Endocrinology and Metabolism, Department of Internal Medicine, Eulji University Hospital, Seoul, Korea.
    Received December 24, 2010; Accepted April 06, 2011.

    This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

    Abstract

    Abdominal fat accumulation is known to be strongly implicated in development of metabolic syndrome (MetS). We examined diagnostic values of obesity-related parameters in 95 men and 185 women, and we determined optimal cutoff values of visceral fat area (VFA) and waist circumference (WC) for predicting the presence of multiple non-adipose components of MetS. Receiver operating characteristic (ROC) curve analysis revealed that VFA was the best indicator of MetS. WC and VFA exhibited similar diagnostic values for men and postmenopausal women, whereas WC was inferior to VFA for premenopausal women (area under ROC curve of VFA and WC was 0.76 and 0.52, respectively; P < 0.001). Optimal cutoff points of VFA and WC for predicting MetS were 136 cm2 and 89 cm in men and 95 cm2 and 82 cm in women, respectively. Subjects with VFA and WC above these cutoff values exhibited increased insulin resistance and increased carotid intima-media thickness. In conclusion, WC has a diagnostic value similar to VFA for predicting MetS in men and postmenopausal women, but not in premenopausal women. Further studies are necessary to develop a simple clinical parameter that reflects visceral fat in premenopausal women.

    Keywords
    Metabolic Syndrome; Visceral Fat Area; Waist Circumference; ROC Curve Analysis

    INTRODUCTION

    Metabolic syndrome (MetS) is an important public health problem and it increases the risk of type 2 diabetes and cardiovascular disease (1). Although the pathogenesis of MetS has yet to be determined, it is evident that the abdominal fat accumulation plays a central role (2). Compared to the subcutaneous abdominal fat, the visceral abdominal fat confers more of a risk of metabolic and cardiovascular complications. This notion may be explained by the fact that the visceral fat has a higher lipolytic activity and it directly releases free fatty acids into the portal circulation, and this considerably contributes to insulin resistance (3). In addition, abdominal obesity has been strongly implicated in the development of MetS as well as increased all-cause and cardiovascular mortality (3, 4).

    The International Diabetes Federation (IDF) includes abdominal obesity as an essential element of MetS and the IDF has defined the waist circumference (WC) cutoff values according to ethnicity and gender (e.g., the WC values of 90 cm for men and 80 cm for women in South Asia and China) (5). Compared to Caucasians, Asians typically exhibit a higher risk of obesity-related morbidity and mortality at a given body mass index (BMI) or WC (6). Furthermore, in the Obesity in Asia Collaboration, which evaluated the optimal WC cutoff values for the identification of diabetes in 155,122 individuals from 10 countries in the Asia-Pacific region (86% Asian; 2 study populations were from Australia), the cutoff values were 85 cm for men and 80 cm for women (7). This study showed that the prevalence of diabetes was consistently higher among Asians than that of Europeans at any given level of the BMI or WC. This clarifies the ethnic differences in the relationship between being overweight and having diabetes.

    WC measurement is a simple and widely applicable method to evaluate central obesity (8). However, it does not accurately reflect the abdominal visceral fat mass since it is also influenced by the amount of subcutaneous fat. The currently available methods that reliably measure the amount of abdominal visceral fat include computed tomography (CT) and magnetic resonance imaging (MRI). CT and MRI can distinguish fat from other tissues and they allow measurement of the visceral and subcutaneous abdominal fat mass independently with high reproducibility (9, 10). Nevertheless, these methods are disadvantageous for routine use due to the radiation exposure, the technical difficulties and the high cost. In this regard, other methods of assessing the amount of visceral fat such as ultrasonography and the abdominal sagittal diameter have been suggested (11, 12). New, alternative, simple and noninvasive methods that can accurately reflect the visceral fat need to be developed. Therefore, we examined the diagnostic values and optimal cutoff points of various obesity-related parameters, including the CT-measured visceral fat area (VFA), to predict the risk of MetS in Korean men and women. In addition, we investigated whether these cutoff levels are useful in reflecting other markers of insulin resistance and atherosclerosis (e.g., the homeostasis model assessment for insulin resistance [HOMA-IR] and the mean carotid intima-media thickness [IMT]).

    MATERIALS AND METHODS

    Subjects

    A total of 280 subjects (95 men and 185 women) aged 30-80 yr were recruited by local advertisement. The exclusion criteria consisted of the following: 1) an age < 30 or > 80 yr, 2) any individuals taking medications for hypertension, hyperglycemia, hyperlipidemia or obesity, and 3) pregnancy. The menopausal status in women was checked by self-report of the regularity of their menstrual cycle.

    Measurements

    The height and body weight were measured to the nearest 0.1 cm and 0.1 kg, respectively, with the subjects standing barefoot and in light clothing. The BMI was calculated as the body weight in kilograms divided by the square of the height in meters. The WC was measured at the midpoint between the inferior border of the subcostal margin and iliac crest in the mid-axillary line after normal expiration with the subject standing; the hip girth was measured at the widest part of the hip across both greater trochanters, from which the waist-to-hip circumference ratio (WHR) was calculated. Blood pressure was measured using a mercury sphygmomanometer in a sitting position after the participants had remained seated for 10 min. The measurements were taken twice, 5 min apart.

    After an overnight 12 hr fast, the plasma glucose, total cholesterol, triglyceride and high-density lipoprotein (HDL) cholesterol concentrations were measured enzymatically using an auto-analyzer (ADVIA 1650; Siemens Medical Solutions Diagnostics, Tarrytown, NY, USA). The plasma insulin concentrations were measured by radioimmunoassay (BioSource S. A., Nivelles, Belgium). The HOMA-IR was calculated using the following equation: HOMA-IR = (fasting insulin [µU/mL] × fasting glucose [mM/L])/22.5 (13).

    A single CT scan (Sensation 16; Siemens AG, Forchheim, Germany) at the level of the L4-5 vertebra was obtained with the patient in the supine position and at the end of inspiration. The cross-sectional area of fat was determined with attenuation values selected between the range of -250 and -50 Hounsfield units and using commercial software (Rapidia; Infinitt, Seoul, Korea). Carotid ultrasound studies were performed once for each subject by a single technician using a linear probe. The mean IMT of the common carotid artery was measured by an ultrasonography apparatus (Logic 7; GE Medical Systems, Milwaukee, WI, USA) equipped with IMT measurement software (Intimascope; Media Cross Co., Tokyo, Japan) (14).

    Definition of metabolic syndrome

    MetS was defined according to the IDF criteria (5). The IDF has defined MetS as the presence of central obesity (WC ≥ 90 cm in men, WC ≥ 80 cm in women) plus two or more of the following criteria: 1) a systolic blood pressure (SBP) ≥ 130 mmHg and/or a diastolic blood pressure (DBP) ≥ 85 mmHg; 2) HDL cholesterol < 40 mg/dL in men, < 50 mg/dL in women; 3) triglyceride ≥ 150 mg/dL and 4) the fasting plasma glucose ≥ 100 mg/dL.

    Statistical analyses

    Statistical analyses were conducted using SPSS version 11.5 for Windows (SPSS Inc., Chicago, IL, USA). Continuous variables were expressed as means ± standard deviations (SD). Each variable was examined for normality, and the skewed variables were tested after log-transformation. Continuous variables were compared by Student's t-test and the frequencies were compared by Pearson chi-squared test. The ROC curve analyses were performed to determine the optimal cutoff points for the VFA, the WC, the BMI, the WHR, the subcutaneous fat area (SFA) and the visceral-to-subcutaneous fat area ratio (V/S) for identifying the subjects with two or more components of MetS other than the WC. Comparisons of the diagnostic values of the tests were performed using the areas under the curves (AUC), and the significance of the difference between the two areas was assessed by the method described by Hanley and McNeil (15). The values of various obesity-related indices that resulted in maximizing the Youden index (sensitivity + specificity - 1) were defined as optimal (16). The WC and BMI values corresponding to each VFA cutoff were calculated by simple linear regression analysis. P values < 0.05 (two-tailed) were considered to be statistically significant.

    Ethics statement

    The institutional review board of Seoul National University Hospital approved the study protocol (H-0606/009-175). Informed consent was obtained from each subject.

    RESULTS

    Subject characteristics

    The clinical characteristics of the study subjects are shown in Table 1. The prevalence of MetS according to the diagnostic criteria of IDF was 28.4% in the men and 19.5% in the women. The proportion of subjects having central obesity, which is defined as a WC ≥ 90 cm in men and a WC ≥ 80 cm in women, was 42.1% in the men and 57.3% in the women. The proportion of subjects having higher blood pressure, which is defined as a SBP ≥ 130 mmHg and/or a DBP ≥ 85 mmHg, was 29.5% in the men and 12.4% in the women. Regarding the triglyceride levels, 36.8% of the men and 18.9% of the women had triglyceride levels ≥ 150 mg/dL. A low HDL cholesterol level, which is defined as < 40 mg/dL in men and < 50 mg/dL in women, was seen in 45.3% of the men and 58.9% of the women. The proportion of subjects having fasting hyperglycemia, which is defined as ≥ 100 mg/dL, was 31.6% in the men and 11.9% in the women.

    Table 1
    Characteristics of the study subjects

    ROC curve analyses

    Table 2 presents the AUC values, the statistical significance of the difference between the AUC value of each parameter and that of the VFA, the optimal cutoff points of six obesity-related indices for detecting two or more components of MetS other than WC, and the sensitivity and specificity of the cutoff point. The AUC of the VFA was comparable with that of the WC, BMI or SFA in men, whereas the VFA showed significantly higher AUC values than did the WC, BMI, WHR or SFA in women. The optimal cutoff points of the VFA, SFA, V/S, WC, BMI, and WHR were 136.0 cm2, 134.0 cm2, 1.0, 89.0 cm, 24.1 kg/m2, and 0.9 in men, and 95.0 cm2, 213.0 cm2, 0.5, 85 cm, 24.0 kg/m2, and 0.9 in women, respectively. The sensitivity and specificity at the optimal cutoff points of the VFA were 74.3% and 78.3% in men and 79.1% and 77.4% in women, respectively, whereas those values at the optimal cutoff points of the WC were 69.8% and 70.6% in men and 51.0% and 81.3% in women, respectively. Subgroup analyses according to the menopausal status in women showed that the AUC of the VFA was significantly higher than that of the WC, BMI, or WHR in premenopausal women, whereas it was comparable to that of the WC, BMI, or WHR in postmenopausal women. The optimal cutoff points of the VFA, WC, and BMI were 87.3 cm2, 85.0 cm, and 25.2 kg/m2 in the postmenopausal women and 81.7 cm2, 81.0 cm, and 23.1 kg/m2 in the premenopausal women, respectively.

    Table 2
    Areas under the ROC curve for the obesity-related parameters as well as the sensitivity and specificity at the optimal cutoff point for detecting two or more components of metabolic syndrome other than waist circumference

    Estimation of the WC and BMI corresponding to the VFA cutoff points

    Fig. 1 shows the relationship of the WC and BMI with the VFA for the men and women. The WC and BMI values corresponding to the optimal cutoff points of the VFA were estimated by a simple linear regression equation. There was a significant correlation between the VFA and WC (r = 0.733, P < 0.001 for the men and r = 0.652, P < 0.001 for the women) and between the VFA and BMI (r = 0.612, P < 0.001 for the men and r = 0.608, P < 0.001 for the women). The WC corresponding to the VFA cutoff was 89 cm for the men and 82 cm for the women. The BMI corresponding to the VFA cutoff was 25.2 kg/m2 for the men and 24.5 kg/m2 for the women. Subgroup analyses according to the menopausal status in women showed that the VFA appeared to have better correlation with the WC and BMI in the postmenopausal women compared to that of the premenopausal women (r = 0.650, P < 0.001 and r = 0.630, P < 0.001 for the postmenopausal women and r = 0.581, P < 0.001 and r = 0.535, P < 0.001 for the premenopausal women). The WC and BMI corresponding to the VFA cutoff were 81 cm and 23.8 kg/m2 for the premenopausal women and 81 cm and 23.7 kg/m2 for the postmenopausal women, respectively (Fig. 2).

    Fig. 1
    Body mass index and waist circumference corresponding to the visceral fat area (VFA) cutoff values for men and women.

    Fig. 2
    Body mass index and waist circumference corresponding to the visceral fat area (VFA) cutoff values for pre- and post-menopausal women.

    Mean IMT and HOMA-IR according to the VFA and WC cutoffs

    Fig. 3 shows the mean IMT and HOMA-IR according to the cutoff points of the VFA (136 cm2 for the men and 95 cm2 for the women) and WC (89 cm for the men and 82 cm for the women). The subjects who had a WC above the cutoff points exhibited higher values of the IMT (0.76 mm vs 0.70 mm, P = 0.021 for the men and 0.73 mm vs 0.67 mm, P = 0.001 for the women) and an elevated HOMA-IR (2.23 vs 1.18, P = 0.001 for the men and 1.57 vs 1.28, P = 0.024 for the women) as compared to their counterparts. Although the VFA displayed a similar trend with the WC, the IMT in men and the HOMA-IR in women were marginally higher for the subjects with a VFA above the cutoff points than those values for the subjects with a VFA below the cutoff points (0.76 mm vs 0.71 mm, P = 0.08 for the men and 1.56 vs 1.32, P = 0.069 for the women).

    Fig. 3
    Mean IMT and HOMA-IR according to the cutoff point of the visceral fat area (VFA) and waist circumference (WC) for men and women.

    Prevalence of MetS according to the VFA and WC cutoffs

    Fig. 4. shows the prevalence of MetS in the 4 groups that were subdivided by the VFA and WC cutoffs: 1) a lower VFA and a lower WC (a VFA below the cutoff and a WC below the cutoff), 2) a lower VFA and a higher WC (a VFA below the cutoff and a WC above the cutoff), 3) a higher VFA and a lower WC (a VFA above the cutoff and a WC below the cutoff), and 4) a higher VFA and a higher WC (a VFA above the cutoff and a WC above the cutoff) group. For the men, a WC cutoff value was associated with the prevalence of MetS among the subjects who had a VFA below the cutoff point (50.0% in the lower VFA and higher WC group vs 13.9% in the lower VFA and lower WC group, P = 0.042), but not among subjects who had a VFA above the cutoff point (72.4% in the higher VFA and higher WC group vs 71.4% in the higher VFA and lower WC group, P = 0.645). By contrast, for the women, the WC cutoff value was not associated with the prevalence of MetS among the subjects who had a VFA below the cutoff point (10.7% in the lower VFA and lower WC group vs 3.4% in the lower VFA and higher WC group, P = 0.224) and among subjects who had a VFA above the cutoff point (54.3% in the higher VFA and higher WC group vs 53.3% in the higher VFA and lower WC group, P = 0.589).

    Fig. 4
    Prevalence of metabolic syndrome according to the cutoff point of the visceral fat area (VFA) and waist circumference (WC) for men and women.

    DISCUSSION

    Our results demonstrated that the cutoff points of the VFA, which are 136 cm2 for men and 95 cm2 for women, are optimal for yielding the maximal sensitivity plus specificity for predicting two or more components of MetS other than the WC. To date, a few previous studies have determined the optimal cutoff points of the VFA for MetS in the Korean population. Han et al. (17) analyzed the data from a hospital-based sample of 276 Korean men (age: 45.5 ± 9.4 yr, BMI: 25.4 ± 2.5 kg/m2) and 540 Korean women (age: 40.7 ± 12.2 yr, BMI: 25.4 ± 2.7 kg/m2). They suggested 100 cm2 in men and 70 cm2 in women as the optimal cutoff points for identifying subjects with multiple risk factors of MetS as defined by the IDF criteria (17). In another Korean study, the VFA cutoff level was proposed to be 103.8 cm2 for both men (age: 41.3 ± 11.6 yr, BMI: 30.9 ± 5.2 kg/m2) and women (age: 43.2 ± 13.1 yr, BMI: 29.9 ± 5.7 kg/m2) (18). In 1,870 Japanese subjects (the mean age and BMI were 50.6 ± 7.8 yr and 24.9 ± 2.7 kg/m2 in men and 51.2 ± 7.2 yr and 23.5 ± 3.1 kg/m2 in women, respectively), the cutoff points of the VFA and WC for identifying subjects with at least two non-adipose components of MetS were 132.6 cm2 and 89.8 cm in men and 91.5 cm2 and 82.3 cm in women, respectively (19), which are quite similar to our results. They also showed that the VFA is a better parameter than the WC or BMI for detecting multiple metabolic risk factors (19). The results from these studies and ours suggest that the VFA cutoff levels for identifying subjects with multiple metabolic risk factors are influenced by the age and the BMI distribution of the study populations.

    Previous studies have reported that insulin resistance is more strongly associated with the VFA rather than with the WHR or the WC (20). As the WC reflects not only visceral fat but also subcutaneous fat, it does not appear to be a good indicator of the VFA (21). Intriguingly, our current study displayed a gender difference in the diagnostic values of the VFA and other obesity-related anthropometric parameters for predicting non-adipose components of MetS. Subgroup analyses showed that for the men, the WC cutoff value was associated with the prevalence of MetS among the subjects who had a VFA below the cutoff point. However, only the VFA cutoff value, and not WC cutoff value, was associated with the prevalence of MetS in women (Fig. 4). In addition, although the AUC of the WC was comparable to that of the VFA in men, the WC exhibited a significantly lower AUC than the VFA in women, and more precisely in the premenopausal women, which indicates that the WC has limited value for predicting MetS in premenopausal women. In our study, the premenopausal women displayed a significantly lower V/S than did the postmenopausal women (0.43 vs 0.54, respectively, P < 0.001). Therefore, it can be concluded that the WC is more influenced by subcutaneous fat than by visceral fat in premenopausal women. In accordance with our finding, a recent study has demonstrated that the VFA rather than the WC itself is a major determinant of MetS in premenopausal Korean women (22), whereas the WC and VFA are similarly useful in identifying MetS in elderly Korean women (23). Since the body fat distribution is determined by several factors, including age, gender, and the menopausal status (24), different methods and cutoff values for predicting MetS may be necessary even in a single ethnic group. Especially, in premenopausal women, the directly measured VFA or a simple clinical measurement reflecting the VFA would be indispensable for predicting MetS.

    We found significant differences in the mean IMT and HOMA-IR between the subgroups, as were divided by the WC cutoff point of 89 cm in men and 82 cm in women (Fig. 3). The HOMA-IR is an indicator of insulin resistance, and the IMT of the common carotid artery is an indicator of atherosclerosis and they have both proposed as independent predictors of cardiovascular disease (25, 26). In line with our results, the WC has been associated with surrogate measures of insulin resistance and atherosclerosis and with their progression in several population-based cross-sectional and longitudinal studies (27-29). Therefore, the WC cutoff values presented in this study may be useful for predicting insulin resistance and subclinical atherosclerosis, although they are slightly inferior to the VFA for identifying subjects with multiple non-adipose components of MetS.

    In summary, this study demonstrates that the diagnostic values of the VFA and WC for predicting the presence of multiple metabolic risk factors are influenced by gender and the menopausal status. The optimal cutoff points of the VFA and WC for reflecting multiple non-adipose components of MetS were 136 cm2 and 89 cm in men and 95 cm2 and 82 cm in women, respectively. Further, these cutoff values may indicate an increased HOMA-IR and IMT. Although the WC and VFA are useful to a similar extent in men and postmenopausal women, the WC is inferior to the VFA in premenopausal women. It is mandatory to develop a simple clinical parameter that reflects visceral fat in premenopausal women.

    Notes

    This work was supported in part by Ministry of Information and Communication & Institute of Information Technology Assessment through the IT-Leading R&D Support Project (2006).

    AUTHOR SUMMARY

    Gender Differences in Diagnostic Values of Visceral Fat Area and Waist Circumference for Predicting Metabolic Syndrome in Koreans

    Hong Il Kim, Jin Taek Kim, Sung Hoon Yoo, Soo Heon Kwak, Hak Chul Jang, Kyong Soo Park, Seong Yeon Kim, Hong Kyu Lee and Young Min Cho

    Receiver operating characteristic (ROC) curve analysis revealed that the optimal cutoff points of visceral fat area and waist circumference for predicting metabolic syndrome in Korean population were 136 cm2 and 89 cm in men and 95 cm2 and 82 cm in women, respectively. The subjects with visceral fat area and waist circumference above these cutoff values exhibited increased insulin resistance and an increased carotid intima-media thickness. Diagnostic values of the obesity-related parameters for predicting metabolic syndrome are influenced by gender and the menopausal status. The waist circumference and visceral fat area exhibited similar diagnostic values for men and postmenopausal women, whereas waist circumference was inferior to visceral fat area for premenopausal women. Therefore, a simple clinical parameter that reflects visceral fat in premenopausal women needs to be developed.

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    MeSH Terms
    Predictive Value of Tests*
    Waist Circumference*
    Adult
    Aged
    Aged, 80 and over
    Female
    Humans
    Insulin Resistance
    Intra-Abdominal Fat/radiography*
    Male
    Metabolic Syndrome X/diagnosis*
    Metabolic Syndrome X/epidemiology
    Middle Aged
    Postmenopause
    ROC Curve
    Republic of Korea/epidemiology
    Risk Factors
    Sex Factors
    Metrics
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