Metabolic syndrome in men and women with upper or lower types of body fat distribution

Boris B. Pinkhasov, Vera G. Selyatitskaya, Ani R. Karapetyan, Elvira L. Astrakhantseva

Siberian Branch of Russian Academy Medical Sciences, Scientific Centre of Clinical and Experimental Medicine, Novosibirsk, Russia.

DOI: 10.4236/health.2012.412A200                

Abstract

The purpose of the study was to determine the prevalence of metabolic syndrome as a cluster of risk factors for atherosclerotic cardiovascular disease and type 2 diabetes mellitus and its individual components in groups of men and women with primary obesity having different types of fat distribution. The study involved 142 men and 185 women with primary alimentary-constitutional obesity. The study participants were divided into 2 groups depending on waist-to-hip ratio value. Standardized criteria were used to determine the prevalence of metabolic syndrome and its individual components among the examined men and women. The ratios of the number of participants with lower or upper type of fat distribution in men and women were 28:114 and 84:101, respectively. Hence the frequency of lower type of fat distribution was 19.7% in men and 45.4% in women (p < 0.000). Men with lower type of body fat distribution as compared to upper type were characterized by a lower prevalence of abdominal obesity (1.9 times), hypertriglyceridemia (1.4 times), low HDL-C (1.6 times), and hypertension (2 times). The frequency of metabolic syndrome in men with lower type of fat distribution was lower by 2.7 times than that of men with upper type of fat distribution. Women with lower type of fat distribution as compared to upper type had a lower prevalence of abdominal obesity (1.2 times), hypertriglyceridemia (1.8 times), low HDL-C (1.2-fold), and hypertension (in 1.5 times). The frequency of metabolic syndrome in women with lower type of fat distribution was lower by 1.9 times than that of women with upper type of fat distribution. Both men and women in the groups with lower type of fat distribution were missing such a component of metabolic syndrome as hyperglycemia i.e. they had the minimal risk of type 2 diabetes mellitus.

Keywords

Metabolic Syndrome; Obesity; Fat Distribution

1. INTRODUCTION

Metabolic syndrome (MS) presents the cluster of risk factors for atherosclerotic cardiovascular disease and type 2 diabetes mellitus, the major causes of mortality in industrialized countries [1-4]. In this context, much attention is devoted to identifying MS prevalence in people of different gender, age, social groups and among individuals with cardiovascular and/or other diseases, etc. [5-7]. These risk factors include raised blood pressure, dyslipidemia (raised triglycerides and lowered high-density lipoprotein cholesterol), raised fasting glucose and central obesity [4].

Insulin resistance has been proposed as the key linking factor for the MS disease. The combination of insulin resistance and compensatory hyperinsulinemia increases the likelihood that an individual will be hypertensive, and have a dyslipidemia characterized by a high plasma triglyceride and low high-density lipoprotein cholesterol concentration. These changes increase risk of cardiovascular disease, and in 1988, this cluster of related abnormalities was designated as comprising a syndrome (X). Several other clinical syndromes are now known to be associated with insulin resistance and compensatory hyperinsulinemia. For example, polycystic ovary syndrome appears to be secondary to insulin resistance and compensatory hyperinsulinemia. More recently, studies have shown that the prevalence of insulin resistance/hyperinsulinemia is increased in patients with nonalcoholic fatty liver disease, and there are reports that certain forms of cancer are more likely to occur in insulin resistant/hyperinsulinemic persons [8].

Most of the epidemiological, experimental, and clinical evidence support the role of hyperinsulinemia and insulin resistance as important components of this multifaceted syndrome. However, there is evidence amassing that a neurohormonal mechanism, including an endocrine role for adipocytes, also plays a fundamental role [9]. There are data suggesting that hyperleptinemia rather than, or synergistically with hyperinsulinemia, may play some role in the genesis of the MS. More recently, other potential players in the etiology of the MS have been suggested including endothelial dysfunction and acetylation-stimulating protein [10].

Two of the proposed systems of MS criteria are actively used today. The first one was developed by experts of the International Diabetes Federation (IDF) [11], and the second one was developed by experts of the National Cholesterol Education Program Adult Treatment Panel III (NCEP-ATP III) [12]. The key difference of these systems of MS indices are the boundary values of such a criterion as abdominal obesity (AO) and the condition of its presence as an obligatory MS component in the system of IDF criteria. Comparative studies of MS prevalence depending on the applied criteria were conducted, and, taking into account that the boundary values of waist circumference for the identification of abdominal obesity presented as IDF criteria are lower than those presented as NCEP-ATP III criteria, MS incidence rates were higher in the first case [13-16]. In 2009, unified MS criteria representing the outcome of a meeting between several major organizations were published [4]. It was agreed, that there should not be an obligatory component, and a single set of cut points would be used for all components except waist circumference. This is due to variability of waist circumference in several different populations and ethnic groups [4].

The regional body fat distribution is a significant risk factor for developing type 2 diabetes mellitus and hypertension. The ratio of waist circumference to hip circumference (waist-to-hip ratio, WHR) [17,18] is one of the indices characterizing body fat distribution. WHR value is of great interest for obesity specialists since the use of this index allows us to divide obese individuals into groups with upper (android) and lower (gynoid) types of body fat distribution. The distinction between individuals with the android and the gynoid types of obesity by calculating the brachio-femoral adipo-muscular ratio was proposed Vague J. [19], who substantiated the association of the android (upper) type of obesity with a high risk of cardiovascular disease and type 2 diabetes mellitus. Then it was suggested to distinguish the central and peripheral obesity or upper and lower obesity based on WHR [20,21]. In recent years, the dual-energy X-ray absorptiometry and computed tomography scans were used to identify the regional fat distribution [22,23]; however, these are expensive methods that are not suitable for mass screening. The method, which lends itself easily to largescale screening studies, involves the determination of the WHR. As comparative studies show, it is the WHR, rather than the body mass index or waist circumference, that is the most useful measure of obesity to use for identifying individuals with cardiovascular disease risk factors [24-26].

The upper type of fat distribution is associated with intra-abdominal visceral fat accumulation, which plays an important role in the development of diabetes, lipid disorder, hypertension and atherosclerosis [27]. Visceral fat cells have a much greater metabolic activity as compared to subcutaneous fat cells. They also differ in their ability to secrete adipokines [28,29]. Visceral adipose tissue and its adipose-tissue resident macrophages produce more proinflammatory cytokines like tumor necrosis factor-alpha and interleukin-6 and less adiponectin. These cytokines changes induce insulin resistance and play a major role in the pathogenesis of endothelial dysfunction and subsequent atherosclerosis [30]. Accumulation of visceral fat at abdominal obesity substantiates its role as one of the main MS components [31,32].

At the lower type of fat distribution accompanied by its accumulation in the gluteofemoral area, subcutaneous fat far outweighs the metabolic disorders associated with abdominal obesity [30,33,34]. Therefore, upper and lower types of fat distribution should be associated with different degrees of the risk of cardiovascular and metabolic disorders. The association of high risk of their development with upper type of body fat distribution was convincingly demonstrated [27-31]. However, the degree of association of lower type of fat distribution in women with cardiovascular and metabolic disorders is not well known. It is important because the frequency of lower type fat distribution reaches 40% - 50% in women of reproductive age who are overweight and have primary obesity [35].

In the study of gender-specific peculiarities of obesity, men are almost entirely classified under the group with upper type of fat distribution [36], though the practice of obesity correction indicates that it is not quite correct. The prevalence of lower type of fat distribution in obese men is practically not discussed in literature. Comparative studies of fat distribution types association with MS apply only to women [37]. Hence, the purpose of the study was to determine the prevalence of MS as a cluster of risk factors for atherosclerotic cardiovascular disease and type 2 diabetes mellitus and its individual components in groups of men and women with primary obesity having different types of fat distribution.

2. METHODS

2.1. Subjects

The study involved 142 men and 185 women aged 21 to 70 years (M ± SD age of 45.0 ± 10.4 years). The inclusion criterion for selecting participants for this research was presence primary alimentary-constitutional obesity with body mass index equal to or higher than 30 kg/m². The exclusion criteria were morbid and neuroendocrine obesity, diabetes mellitus 1 and 2 types, acute heart and pulmonary diseases, malignancy, acute infections and inflammatory diseases. The work was conducted at the Clinical Research and Practical Center of Correction of Endocrine and Metabolic Disorders. All patients involved in the study gave their informed consent to participate in the investigation, which complied with the ethical standards developed in accordance with the World Medical Association Declaration of Helsinki on Ethical Principles for Medical Research Involving Human Subjects, and a permit was obtained from the Local Biomedical Ethics Committee.

2.2. Instrumentation and Measures

Anthropometric measurements including height, body weight, waist and hip circumferences were obtained using standardized procedures. Body weight was measured using medical balance to the nearest 100 gm, height with the help of stadiometer to the nearest 5 mm. Waist circumference (cm) and hip circumference (cm) were determined using measuring tape to the nearest 5 mm as described in the WHO Guidance (2008) [38]. Blood pressure measured using machinal pulsometer UA-100, A&D, Japan.

A 12-hour fasting blood sample was draw from each participant in the morning. The concentration of lowered high-density lipoprotein cholesterol (HDL-C) in blood serum was assayed with the enzymatic colorimetric peroxidase (POD) method and the concentration of triglycerides in blood serum was assayed with the enzymatic colorimetric test using analyzer “Konelab 30i” Thermo Electron Corporation, Finland. The concentration of blood glucose was assayed with the glucose oxidase test (spectrophotometric method) at the “Photometer 5010”, Boehringer Mannheim, Germany.

Body mass index was calculated as weight divided by height squared (kg/m²). Waist-to-hip ratio was calculated by dividing waist circumference by hip circumference. The study participants were divided into 2 groups depending on WHR value. When this value was less than 0.95 for men and less than 0.85 for women, these individuals were classified under groups with lower type of fat distribution, and when this value was 0.95 and higher for men and 0.85 and higher for women, they were classified under the group with upper type of fat distribution.

2.3. Metabolic Syndrome

Standardized criteria were used to determine the prevalence of MS and its individual components among the examined men and women [4]. The values of waist circumference ≥ 102 cm for men and ≥88 cm for women were used to diagnose abdominal obesity. Categorical cut points for revelation of hypertriglyceridemia (elevated triglycerides ≥ 1.7 mmol/L or drug treatment for elevated triglycerides is an alternate indicator), reduced HDL-C (HDL-C <1.0 mmol/L in men and HDL-C < 1.3 mmol/L in women, or drug treatment for reduced HDL-C is an alternate indicator), elevated blood pressure (systolic ≥ 130 and/or diastolic ≥ 85 mm Hg, or antihypertensive drug treatment in a patient with a history of hypertension is an alternate indicator ), elevated fasting glucose (blood glucose ≥ 5.6 mmol/L, or drug treatment of elevated glucose is an alternate indicator) are the same for men and women according to modern ideas [4]. Metabolic syndrome was diagnosed when at least three of any of its components were present.

2.4. Statistical Analysis

Statistical data processing was performed using the Statistica 6.0 program (StatSoft, USA). In Tables 2 and 4, the results are presented as incidence in %, the comparative analysis was performed using the Pearson’s c² test (for two groups with Yates correction). In the text, Tables 1 and 3, the results are presented as mean indicator values and the standard deviation (M ± SD); the comparative analysis was performed using the Mann-Whitney test for paired comparisons. The coefficient of variation was calculated in % as the ratio of the standard deviation to the mean value multiplied by 100. The minimum probability of the null hypothesis validity was accepted at the 5% significance level (р < 0.05).

3. RESULTS

Table 1 presents the results of measuring the anthropometric and metabolic indices of the examined men and women with alimentary-constitutional obesity depending on the gender. No differences were observed in the mean values of age and body mass index, while all the other indices differed between groups of men and women with a high degree of reliability.

Conflicts of Interest

The authors declare no conflicts of interest.

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