Journal of Obesity & Metabolic Syndrome

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J Obes Metab Syndr 2019; 28(3): 186-193

Published online September 30, 2019 https://doi.org/10.7570/jomes.2019.28.3.186

Copyright © Korean Society for the Study of Obesity.

The Correlation between the Ratio of Visceral Fat Area to Subcutaneous Fat Area on Computed Tomography and Lipid Accumulation Product as Indexes of Cardiovascular Risk

SoHee Kwon1, A Lum Han2,*

1Professional Graduate School of Oriental Medicine, Wonkwang University, Iksan; 2Department of Family Medicine, Wonkwang University Hospital, Iksan, Korea

Correspondence to:
A Lum Han
https://orcid.org/0000-0002-6509-7953
Department of Family Medicine, Wonkwang University Hospital, 895 Muwang-ro, Iksan 54538, Korea
Tel: +82-63-859-1301 Fax: +82-63-859-1306 E-mail: qibosarang@naver.com

Received: April 2, 2019; Reviewed : April 26, 2019; Accepted: September 9, 2019

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Background

Visceral obesity and cardiovascular disease are closely related. Research on relevant indexes of cardiovascular disease is particularly important. One of these indexes is lipid accumulation product (LAP). However, the relationship between LAP and the ratio of visceral fat area to subcutaneous fat area (V/S ratio) remains unclear.

Methods

Individuals who visited the university hospital health promotion center and underwent abdominal computed tomography (CT) were included in the study. We analyzed the V/S ratio obtained using CT with cardiovascular factors and indexes. Standardized coefficients were used to obtain uniform units of all independent variables, and the relationship between LAP and V/S ratio was determined using multiple logistic regression analysis.

Results

A positive correlation between the V/S ratio and LAP was observed even after adjustment for age, smoking history, alcohol drinking history, and exercise (P<0.001). The highest quartile of LAP was independently associated with abdominal obesity (odds ratio [OR], 1.160; 95% confidence interval [CI], 1.093–1.232) and visceral fat ≥100 cm2 (OR, 1.018; 95% CI, 1.010–1.026), but not with hypertension or diabetes.

Conclusion

LAP is closely related to the V/S ratio and can be used to predict the condition of visceral fat tissue.

Keywords: Lipid accumulation product, Visceral fat, Subcutaneous fat

Obesity is ultimately linked to cardiovascular disease (CVD), and there are many ways to define obesity.1 Obesity, sometimes defined as the amount of visceral fat, is associated with CVD.1,2 Waist circumference (WC) is an indicator of obesity that reflects abdominal visceral fat and is easy to measure.13 On the other hand, computed tomography (CT) is expensive and carries the disadvantage of risk, including radiation exposure. Nevertheless, the measurements of visceral and subcutaneous fat by CT or magnetic resonance imaging more accurately reflect the amount of visceral fat and various metabolic diseases and cardiovascular risk.4,5 Although body fat affects metabolic syndrome, several studies have shown that patients with high abdominal visceral to subcutaneous fat ratios are the most vulnerable to diabetes and CVDs.4,5 Compared with Caucasian individuals, Asian individuals are more prone to diabetes and CVDs because they have more abdominal visceral fat than subcutaneous fat.6 Various indexes have been developed for fat tissue, CVD, and metabolic disease.1,2

Indeed, the relative distribution of abdominal fat may be more important than visceral and subcutaneous fat area itself because the ratio of visceral fat area to subcutaneous fat area (V/S ratio) is more strongly related to the risk of CVD than visceral fat area.7 Moreover, the subcutaneous fat area has a beneficial role against metabolic diseases.7 Established in the Caucasian population, the visceral adiposity index is a reliable indicator of visceral fat function associated with cardio-metabolic risk.8 Clinical anthropometric indicators, such as lipid accumulation product (LAP), are described in the literature as sensitive and specific indicators for discriminating visceral fat compared to the classic parameters, such as WC and body mass index (BMI).8 LAP is an alternative measure of excessive lipid accumulation and is calculated as a combination of WC and fasting plasma triglyceride (TG).8,9 It was created to simultaneously reflect the anatomical and physiological changes associated with lipid overaccumulation in adults.9 LAP reflects the risk of CVD relatively well, and according to international studies, it is also associated with insulin resistance, metabolic syndrome, and diabetes.10

Lipid ratios, which are risk factors for CVD, showed a close correlation with insulin resistance and metabolic syndrome.11,12 Previous observations revealed that ratios, in terms of their ability to predict cardiovascular events over a follow-up period of 5 years, and that take into account concentrations of atherogenic and anti-atherogenic lipoproteins, are superior to measurements of concentrations of either atherogenic or anti-atherogenic fractions alone.13 These lipid ratios include total cholesterol:high-density lipoprotein cholesterol (HDL-C), non-HDL-C:HDL-C, and low-density lipoprotein cholesterol (LDL-C):HDL-C.13 Based on the aforementioned previous studies, we evaluated the relationship between the V/S ratio, obtained through abdominal CT, and various indexes related to CVD and metabolic disease. The various indexes included lipid ratio and LAP, which are related to CVD.

Study subjects

Data was collected from urban-dwelling adult men and women ages 20 to 75 years who visited a university hospital health promotion center and underwent a medical examination and abdominal CT. Those with incomplete medical histories or medication records, those with chronic diseases other than hypertension or diabetes, and those who had previously received cancer treatment or were diagnosed with cancer were excluded. A total of 530 subjects were included in the final analysis. The charts of examinees who have already undergone medical examinations were reviewed. Thus, a request for exemption of informed consent was submitted for this study and approved by Institutional Review Board (IRB). The study protocol was also approved by the IRB of Wonkwang University Hospital in Seoul, Korea (IRB No. WKUH 2019-02-016-002).

Measures

Questionnaire, anthropometric measurements, and blood pressure

The subjects completed a self-administered questionnaire and were interviewed by physicians. Anthropometric measurements were performed by trained nurses. Height and weight were measured using automatic measurement devices (Inbody330; Biospace Co., Ltd., Seoul, Korea), and the BMI was obtained by dividing the weight by the square of the height (kg/m2). WC was measured by placing a tape measure in the midpoint horizontally between the lowest point of the costal margin and the highest point of the pelvic iliac crest with the patient in an upright position, following the World Health Organization recommendations. Blood pressure was measured on the right arm after 10 minutes of rest using an automatic blood pressure measurement device (BP-8800C; Colin Electronics Co., Ltd., Aichi, Japan). The blood pressure measurement was repeated if the systolic blood pressure (SBP) was >140 mmHg or the diastolic blood pressure (DBP) was >90 mmHg. Average SBP and DBP were recorded.

Blood tests

The subjects fasted for at least 12 hours, and a blood sample was collected and analyzed under fasting conditions. Hemoglobin, glycosylated hemoglobin, fasting plasma glucose, total cholesterol, TG, HDL-C, and LDL-C levels were measured using the ADVIA 1650 analyzer (Bayer Diagnostics, Tarrytown, NY, USA).

Defining the LAP

LAP is defined and calculated as follows9:

LAP for men=(WC [cm]-65)×(TG concentration [mmol/L])LAP for women=(WC [cm]-58)×(TG concentration [mmol/L])
Abdominal fat area

A fat area in the abdomen was defined as an area with −150 to −50 Hounsfield units on CT. Subcutaneous fat in the abdomen was defined as the fat located between the skin and the rectus abdominis muscle, obliquus abdominis muscle, and erector spinae muscle at the level of the navel. Visceral fat was defined as the fat between the rectus abdominis muscle, obliquus abdominis muscle, quadratus lumborum muscle, psoas muscle, and lumbar vertebrae at the same level. Three horizontal, 10-mm-thick abdominal CT sections obtained at the L4–5 level were selected to calculate the average visceral fat area and subcutaneous fat area. The V/S ratio was determined by dividing the visceral fat area by the subcutaneous fat area measured by CT.

Statistical analysis

We used SPSS version 11.5 (SPSS Inc., Chicago, IL, USA) for statistical analyses. Statistical significance was indicated by a P-value <0.05. We used the Shapiro-Wilk test to test normality. The association between the V/S ratio and independent variables (lipid ratio, LAP) was determined using a multiple regression analysis. Then, the related factors were corrected, and the relationship between the LAP and V/S ratio was determined using multiple logistic regression analysis.

General characteristics of the study subjects

Of the 530 subjects, 60.2% were male, 39.8% were female, and the average age was 54 years. The subjects engaged in aerobic exercise an average of 1.0±1.8 times per week and consumed alcohol an average of 1.4±1.9 times per week. Of the total sample, 356 individuals were current smokers (68.2%). With respect to cardiovascular risk indicators, the average BMI was 24.6±3.3 kg/m2, the average WC was 84.3±9.1 cm, and the average blood pressure was within the prehypertensive level (SBP, 121.8±13.5 mmHg; DBP, 74.0±10.1 mmHg). The mean LAP was 2,725.5±2,619.1, and V/S ratio was 0.5±0.5. There were 121 patients (23.2%) with hypertension and 51 with diabetes (9.8%). The mean values of other variables are shown in Table 1.

Correlation between LAP and V/S ratio

We performed a simple linear regression analysis with the independent variables shown in Table 1 and the dependent variable V/S ratio. Then, multiple regression analysis was conducted using adjusted variables that were significant in simple linear regression analysis. The results showed the following: the higher the subcutaneous fat, the lower the V/S ratio (β, −0.026, P<0.001); the higher LAP, the higher the V/S ratio (β, 0.0005, P<0.001); and the lower the TG/HDL-C ratio, the lower the V/S ratio (β, −0.221, P<0.001).

Since the units of independent variables were different, standardized coefficients were used to obtain uniform units of all independent variables. We used standardized coefficients to determine which variables greatly affected the dependent variables. The results showed that V/S ratio decreases as the subcutaneous fat rises (β, −0.515, P<0.001), V/S ratio increases as LAP increases (β, 0.348, P<0.001), and V/S ratio decreases as the TG/HDL ratio increases (β, −0.262, P<0.001). When the units of independent variables were standardized, there was a tendency to affect the V/S ratio in the following order: subcutaneous fat, LAP, and TG/HDL ratio (Table 2).

Relationship between clinical cardiovascular characteristics and V/S ratio

We categorized the V/S ratio by quartiles and analyzed the relationship between the variables and V/S ratio while adjusting for general characteristics. Compared to that in individuals with WC <90 cm, the odds of obtaining a V/S ratio >0.48 (interquartile range, 0.53) is 0.206 times higher in individuals with WC ≥90 cm (P<0.001). Furthermore, the odds of obtaining a V/S ratio >0.48 was 16.54 times higher in individuals with visceral fat ≥100 cm2 compared to that in individuals with visceral fat <100 cm2 (P< 0.001). Moreover, the results showed that, while the WC is closely related to the V/S ratio, the presence or absence of hypertension and diabetes is not significantly associated with the V/S ratio (P< 0.001) (Table 3).

Relationship between clinical cardiovascular characteristics and LAP

We categorized the LAP by quartiles and analyzed the relationship between the variables and LAP while adjusting for the general characteristics. Compared to that in individuals with WC <90 cm, the odds of obtaining a LAP >2,000.05 (median) is 1.160 times higher in individuals with WC ≥90 cm WC (P<0.001). Furthermore, the odds of obtaining a LAP >2,000.05 was 1.018 times higher in individuals with visceral fat ≥100 cm2 compared to that in individuals with visceral fat <100 cm2 (P<0.001). Moreover, the results showed that, while the WC is closely related to LAP, the presence or absence of hypertension and diabetes is not significantly associated with LAP (P<0.001) (Table 4).

This study focused on LAP among CVD-related indexes and evaluated its association with the V/S ratio. There have been studies that investigated the relationship between LAP and insulin resistance and CVD,9,10 but no domestic studies have confirmed a correlation between LAP and V/S ratio. In this study, the lipid ratio had no particular association with the V/S ratio, but LAP was correlated with the V/S ratio. In other words, LAP, known as a CVD-related index, was positively correlated with the V/S ratio after adjusting for associated variables.

The V/S ratio may be predicted to be high even if a patient does not undergo CT given high LAP. Moreover, the results further support previous findings indicating that LAP is a valuable index of CVD.9,10 CT is an extremely useful test for measuring V/S ratio; it is the most accurate method for measuring abdominal visceral fat because it categorizes and measures visceral and subcutaneous fat.14 A previous study showed that V/S ratio evaluated by CT is an independent predictor of mortality and occurrence of cardiac events.15 V/S ratio was independently associated with both large and small vessel lesions in apparently healthy subjects in another previous study.16 LAP can surpass the BMI in the prediction of CVD risk as an index describing lipid excess accumulation calculated according to the fasting TG level and WC, and there is a positive association between LAP and long-term CVD incidence in CVD-free Caucasian adults.17

LAP is largely related to the development and severity of non-alcoholic fatty liver disease (NAFLD) and has a high diagnostic accuracy for identifying patients with NAFLD in the general population.18 LAP has a strong and reliable diagnostic accuracy in the detection of metabolic syndrome in adults without diabetes.19 Several previous studies on LAP support the findings of this study that LAP is associated with V/S ratio. That is, V/S ratio increases as LAP increases, showing a positive correlation. However, the TG/HDL-C ratio was negatively correlated with the V/S ratio. In the study that explored the clinical utility of lipid ratios in the identification of subjects with metabolic syndrome, the TG/HDL-C ratio was used to discriminate between apparently healthy subjects with and without metabolic syndrome.11 Other research groups have also proposed that the TG/HDL-C ratio is a potential, simple tool to identify patients at increased risk for insulin resistance and CVD.2022 The TG/HDL-C ratio used to identify individuals at risk may vary across ethnicity and race; TG/HDL-C ratio was an unreliable insulin resistance risk marker in South Asian individuals.23 The results are similar to those of our study. As a result of the relationship between V/S ratio and CVD risk after adjusting for the general characteristics, the V/S ratio was higher in individuals with WC >90 cm than that in individuals with WC <90 cm. Some results revealed that WC is a better indicator of visceral fat and CVD risk compared with BMI and waist to hip ratio. The results of this study showed the same result.2426 A previous study showed that the V/S ratio assessed by ultrasonography is significantly associated with glucose metabolism in patients at high risk of developing type 2 diabetes mellitus.27 Several other studies have shown that visceral fat and V/S ratio are related to the development of diabetes and CVD,2831 but our study showed that the incidence of diabetes and hypertension was not associated with the V/S ratio. As mentioned earlier, there are many studies indicating that LAP is associated with CVD. In this study, the association between LAP and CVD risk factors was not found to be related to other factors except WC and visceral fat mass. The lipid ratios were related to the development of metabolic syndrome and insulin resistance in several studies,11,12 but our study did not show any relationship between the lipid ratio and V/S ratio. So far, there have been many studies on LAP and chronic metabolic disease and CVD, but there have been no studies on the relationship between LAP and V/S ratio. Moreover, an index such as LAP can have different results based on ethnicity, and this study is valuable because it analyzes the relationship between LAP and V/S ratio and cardiovascular risk factors in domestic adults.

However, this study has some limitations. It was conducted at a single center and all variables that could affect the outcome were not controlled. Therefore, in order to accurately assess the correlation between the LAP and V/S ratio, a multi-institution, large-scale, prospective study that complements the previously mentioned points is needed.

This study evaluated LAP among the CVD-related indexes and the relationship between LAP and V/S ratio and cardiovascular risk factor in the domestic population for the first time. The results showed a positive correlation between LAP and V/S ratio. This result can be used to predict the risk of visceral obesity of the visceral fat tissue in patients if LAP is examined, even in those who do not undergo CT. It also supports the importance of LAP as a cardiovascular index, as previous studies have shown. Furthermore, the results can be used as a basis for establishing programs for the management of chronic metabolic disease and CVD.

Study concept and design: ALH; acquisition of data: ALH; analysis and interpretation of data: ALH; drafting of the manuscript: SHK; critical revision of the manuscript: SHK; statistical analysis: SHK; administrative, technical, or material support: ALH; and study supervision: ALH.

General characteristics of the participants

Variable Value
Sex
 Male 302
 Female 212

Age (yr) 54.1±10.0

Frequency of exercise per week 1.0±1.8

Frequency of alcohol drinking per week 1.4±1.9

Smoking
 Nonsmoker 166
 Smoker 356

BMI (kg/m2) 24.6±3.3

Waist circumference (cm) 84.3±9.1

SBP (mmHg) 121.8±13.5

DBP (mmHg) 74.0±10.1

Hypertension
 No 400
 Yes 121

Diabetes mellitus
 No 470
 Yes 51

HbA1c (%) 6.0±2.9

Uric acid (mg/dL) 5.1±1.4

Creatinine (mg/dL) 0.8±0.2

Fasting plasma glucose (mg/dL) 88.0 (80.0–99.0)

Total cholesterol (mg/dL) 199.7±39.0

HDL-C (mg/dL) 53.8±13.2

TG (mg/dL) 93.0 (60.0–146.0)

LDL-C (mg/dL) 115.9±33.0

Subcutaneous fat (cm2) 137.0 (100.3–186.0)

LAP 2,000.1 (1,160.9–3,480.8)

Visceral fat (cm2) 80.7±55.4

V/S ratio 0.5±0.5

TC/HDL-C ratio 3.9±1.2

Non HDL-C/HDL-C ratio 2.9±1.2

LDL-C/HDL-C ratio 2.3±0.8

TG/HDL-C ratio 1.9±2.0

Values are presented as number, mean±standard deviation, or median (Q1–Q3).

BMI, body mass index; SBP, systolic blood pressure; DBP, diastolic blood pressure; HbA1c, glycosylated hemoglobin; HDL-C, high-density lipoprotein cholesterol; TG, triglyceride; LDL-C, low-density lipoprotein cholesterol; LAP, lipid accumulation product; V/S ratio, the ratio of visceral fat area to subcutaneous fat area; TC, total cholesterol; Q, quartile.

Correlation between V/S ratio and cardiovascular risk factors

Variable V/S ratio
B* β P 95% CI
Age (yr) −0.015 −0.040 0.340 −0.046 to 0.016
Smoking behavior −0.820 −0.107 0.015 −1.478 to −0.163
Alcohol intake/wk −0.021 −0.011 0.796 −0.176 to 0.135
Exercise/wk −0.060 −0.032 0.418 −0.207 to 0.086
BMI (kg/m2) −0.344 −0.316 <0.001 −0.477 to −0.210
WC (cm) 0.273 0.713 <0.001 0.217 to 0.329
HbA1c (%) 0.019 0.016 0.696 −0.076 to 0.113
Fasting plasma glucose (mg/dL) −0.009 −0.068 0.111 −0.020 to 0.002
Subcutaneous fat (cm2) −0.026 −0.515 <0.001 −0.032 to −0.021
Visceral fat (cm2) −0.002 −0.032 0.584 −0.009 to 0.005
LAP 0.0005 0.348 <0.001 0.0002 to 0.001
TG/HDL-C ratio −0.221 −0.262 <0.001 −0.337 to −0.104

*Beta coefficient;

Standardized beta coefficient;

P-values were calculated using multiple regression analysis adjusted for age, smoking behavior, frequency of alcohol intake/week, and frequency of exercise per week.

V/S ratio, the ratio of visceral fat area to subcutaneous fat area; CI, confidence interval; BMI, body mass index; WC, waist circumference; HbA1c, glycosylated hemoglobin; LAP, lipid accumulation product; TG, triglyceride; HDL-C, high-density lipoprotein cholesterol.

Risk of V/S ratio (>0.48) according to other cardiovascular risk factors

Variable OR (95% CI) P*
BMI ≥25 kg/m2 1.157 (0.664–2.016) 0.606

WC ≥90 cm 0.206 (0.092–0.462) <0.001

Visceral fat ≥100 cm2 16.540 (7.430–36.823) <0.001

Hypertension
 No -
 Yes 1.215 (0.638–2.311) 0.554

Diabetes mellitus
 No -
 Yes 0.559 (0.247–1.268) 0.164

Age 1.043 (1.017–1.069) 0.001

Smoking behavior 3.064 (1.719–5.464) <0.001

Frequency of alcohol drinking/wk 1.381 (1.175–1.624) <0.001

Frequency of exercise/wk 1.055 (0.932–1.194) 0.399

*P-values were calculated using multiple logistic regression adjusted for age, smoking behavior, frequency of alcohol intake/week, and frequency of exercise per week.

V/S ratio, the ratio of visceral fat area to subcutaneous fat area; OR, odds ratio; CI, confidence interval; BMI, body mass index; WC, waist circumference.

Risk of LAP (>2,000.05) according to other cardiovascular risk factors

Variable OR (95% CI) P*
BMI ≥25 kg/m2 1.081 (0.951–1.230) 0.233

WC ≥90 cm 1.160 (1.093–1.232) <0.001

Visceral fat ≥100 cm2 1.018 (1.010–1.026) <0.001

Hypertension
 No -
 Yes 1.494 (0.804–2.777) 0.204

Diabetes mellitus
 No -
 Yes 1.132 (0.498–2.574) 0.767

Age 0.965 (0.937–0.993) 0.016

Smoking behavior 0.772 (0.436–1.365) 0.373

Frequency of alcohol drinking/wk 1.003 (0.874–1.151) 0.968

Frequency of exercise/wk 1.031 (0.906–1.174) 0.641

*P-values were calculated using multiple logistic regression adjusted for age, smoking behavior, frequency of alcohol intake per week, and frequency of exercise per week.

LAP, lipid accumulation product; OR, odds ratio; CI, confidence interval; BMI, body mass index; WC, waist circumference.

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