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T. Shahraki,¹ M. Shahraki² and M. Roudbari³

محيط الخصر: منسب لتوضع الشحم أفضل من نسبة الورك إلى الخصر للتنبؤ بنمط الشحوم في الإيرانيات البدينات والمفرطات الوزن

توران شهركي، منصور شهركي، مسعود رودباري

الخلاصـة: وقد نفَّذ الباحثون دراسة سريرية شاملة للقطاعات شملت 728 امرأة بدينة ومفرطة الوزن ممن تـتـراوح أعمارهن بين 20 و60 سنة خلال الفتـرة بين تموز/يوليو 2005، وأيار/مايو 2006 في سيستان وفي بلوخستان في جمهورية إيران الإسلامية. وقد اتضح أن مَنْسَب كتلة الجسم ومحيط الخصر لهما ارتباط يُعْتَدُّ به إحصائياً مع مستويات الكولستـرول الكلي وثلاثي الغليسيريد وكولستيرول البروتينات الشحمية المنخفضة الكثافة. وبعد إجراء التصحيح حسب العمر ومَنْسَب كتلة الجسم وجد أن ذلك الارتباط صحيح أيضاً بين محيط الخصر وبين الكولستـرول الكلي وثلاثي الغليسيوليد. ولم يكن هناك مثل هذا الارتباط بين نسبة الخصر إلى الورك وبين نمط توزع الشحوم، ومن هنا فإن محيط الخصر يُعَد مَنْسَباً أفضل للقياسات البشرية لتوضع الشحم من نسبة الخصر إلى الورك في تقدير نمط الشحوم في النساء البدينات ومفرطات الوزن.

ABSTRACT We carried out a clinical cross-sectional study on 728 overweight and obese women aged 20–60 years during July 2005–May 2006 in Sistan and Baluchestan, Islamic Republic of Iran. Body mass index (BMI) and waist circumference (WC) showed significant correlation with total cholesterol (TC), triglycerides (TG) and low-density lipoprotein cholesterol. After adjustment for age and BMI, this was also true for WC with TC and TG. There was no such correlation between waist-to-hip ratio (WHR) and lipid profile. Hence, WC was a better anthropometric index of fat location than WHR to estimate lipid profile in overweight and obese adult women.

Tour de taille : un meilleur indice de localisation de la graisse que le rapport tour de taille/tour de hanches (RTH) pour la prédiction du profil lipidique chez les Iraniennes en surpoids ou obèses

RÉSUMÉ Il est essentiel de définir un meilleur indice anthropométrique de localisation de la graisse pour prédire le profil lipidique de telle ou telle population. Nous avons réalisé une étude clinique transversale sur 728 femmes en surpoids et obèses âgées de 20 à 60 ans, entre juillet 2005 et mai 2006, dans la province de Sistan-Balouchestan (République islamique d’Iran). L’indice de masse corporelle (IMC) et le tour de taille présentaient une corrélation significative avec le cholestérol total (CT), les triglycérides (TG) et le cholestérol LDL. Après ajustement en fonction de l’âge et de l’IMC, cette corrélation existait également entre le tour de taille d’une part, et le CT et les TG d’autre part. Elle n’existait pas entre le rapport tour de taille/tour de hanches (RTH) et le profil lipidique. Le tour de taille est donc un indice anthropométrique de la localisation de la graisse permettant d’estimer, de façon plus juste que le RTH, le profil lipidique des femmes adultes en surpoids et obèses.

¹Department of Paediatrics; ²Department of Nutrition & Research Centre for Child and Adolescent Health, Faculty of Medicine, Zahedan University of Medical Sciences, Zahedan, Islamic Republic of Iran (Correspondence to M. Shahraki: This e-mail address is being protected from spambots. You need JavaScript enabled to view it ).
³Department of Statistics & Mathematics, School of Management and Medical Information, Iran University of Medical Sciences, Tehran Islamic Republic of Iran.
Received: 25/09/06; accepted: 13/12/06
EMHJ, 2009, 15(4): 899-905

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ntroduction

Nowadays, obesity is not only one of the major causes of life-threatening disease in western societies but also it has become one of the most important health problems in developing countries, including south-east Asia [1,2]. The effects of obesity on health, such as diabetes, cardiovascular disease, hypertension, disease of the gallbladder and dyslipidaemia are well recognized [3]. Anthropometric measurements have been used for interpretation of some kinds of obesity: generalized obesity is measured by body mass index (BMI); abdominal obesity, which is closely associated with intra-abdominal fat, is measured either by waist circumference (WC) or waist-to-hip ratio (WHR) [4].

Some studies have indicated that WC may be a better reflection of the accumulation of intra-abdominal or visceral fat than WHR [5]. Also, more evidence indicates that WC coupled with BMI predicts cardiovascular disease risk factors better than BMI alone [6]. Other studies have shown that WHR and WC, markers of central adiposity, were more predictive of cardiovascular disease risk factors than BMI, a marker of general obesity [4,7,8].

There is much controversy about the best anthropometric index; this may be explained in part by differences in body composition and fat distribution in different racial groups [9,10], age groups [11] and sexes [12]: according to the literature, obesity is more prevalent among women than among men [13,14]. For this reason we evaluated the interrelationship of anthropometric indices for general and central obesity, and the relationship of these indices with the lipid profile in women as the aim of this study.

It should be noted that, in order to evaluate the association of markers of fat location with lipid profile, analysis should be adjusted for overall adiposity. Therefore, a second aim of our study was to determine the effectiveness of WC and WHR (after adjustment for age and general obesity) for predicting lipid profile and to establish which is a better anthropometric index of fat location.

Methods

Participants and geographical area

This cross-sectional study was carried from July 2005 to May 2006 on women in Sistan and Baluchestan who had been referred to either of the 2 nutrition clinics in Zahedan, a city in the centre of the province, which is situated in the south-east of Iran, bordering Pakistan.

A total of 1224 women were referred during the study period. Exclusion criteria were: age below 20 years, those with BMI ≤ 24.9  or ≥ 40 kg/m2; and those having dietary treatment for blood lipids and weight loss in the previous 2 months. Pregnant women were also excluded. Applying these criteria, 728 overweight and obese women were eligible to participate in the study. All participants gave their informed consent before recruitment into the study.

Measurements

All anthropometric measurements were made by trained staff in accordance with WHO standards during clinic visits [15]. Height was measured to the nearest 0.5 cm with the participant standing without shoes, heels together and head in the horizontal plane. Body weight was measured to the nearest 0.1 kg using a SECA scale. All measurements of circumference (waist and hip girth) were taken to the nearest 0.5 cm. WC was measured midway between lower rib margin and the iliac crest in the horizontal plane. Hip-circumference (HC) was measured at the point yielding the maximum circumference over the buttocks. BMI was calculated as weight (kg) divided by the square of the height (m2) and WHR was calculated as WC (cm) divided by HC (cm).

Blood lipids

For determining serum blood lipids, a blood sample was drawn between 07:00 and 08:00 into Vacutainer tubes after a 12-hour overnight fast. The samples were taken in a sitting position and centrifuged within 30–45 minutes of collection. All serum lipid analysis was done at Zahedan Blood Transfusion Laboratory 1 hour after collection. The analysis of samples was performed using the Alcyon Abbott 300 (Abbott, Illinois, United States of America). Total cholesterol (TC) and triglycerides (TG) were assayed using enzymatic colorimetric tests with cholesterol esterase, cholesterol oxidase and glycerol phosphate oxidase (Total cholesterol and triglycerides kits, Pars Azmon Inc., Tehran). High-density lipoprotein cholesterol (HDL-C) was measured after precipitation of the apolipoprotein B-containing lipoproteins with phosphotungstic acid. Low-density lipoprotein cholesterol (LDL-C) was calculated according to the Friedewald equation [16].

Statistical analysis

All statistical analysis was performed using SPSS software. Pearson correlation coefficient (r) was used to measure the degree of association between anthropometric indices and lipid profile. Partial Pearson correlation coefficient was used for determining the relationship between WC and WHR and lipid profile after adjustment for age and BMI. The z-test for Fisher’s zeta transformation was used to determine any significant difference between the 2 coefficients. P < 0.05 was considered statistically significant.

Results

The characteristics of the study subject are presented in Table 1. The mean age of the women was 32 [standard deviation (SD) 9] years. The mean values for BMI, WHR and WC were 32.0 (SD 3.5) kg/m2, 0.89 (SD 0.13) and 99.8 (SD 12.0) cm respectively. Although the participants in our study were overweight and obese women, the mean values for all of the blood lipids were in the normal range (Table 1).

The interrelations between anthropometric indices and their correlation with lipid profile are shown in Table 2. There was a positive significant correlation between BMI and age (r = 0.17; P < 0.001), WHR (r = 0.11; P = 0.003) and WC (r = 0.49; P < 0.001). For WC, the correlation was generally of the same order of magnitude for age and WHR. There was no significant correlation between WHR and age (r = 0.04; P = 0.2). The correlation between BMI, WHR and WC with lipid profile is also shown in Table 2. The Pearson correlation coefficient revealed that BMI and WC indices showed statistically significant positive correlation with TC, TG and LDL-C. A test of significance for the difference between the 2 coefficients was done using the z-test for Fisher’s zeta transformation. The coefficients of WC with TC and TG were significantly greater (P < 0.05) than the coefficients of WHR with TC and TG. Although the correlation coefficient of WC with LDL was greater than the correlation coefficient of WHR with LDL (0.11 vs 0.03), the test was not significant (Table 2).

Partial correlation between WC and WHR with lipid profile after adjustment for age and BMI is presented in Table 3. Significant correlations were also found between WC index and TC (P < 0.01) and TG (P < 0.001) concentrations after adjustment for age and BMI. Although the partial correlation coefficient (r) for WC with TC, TG and LDL-C was greater than the correlation coefficient for WHR with the same lipids, the z-test for Fisher’s zeta transformation was only significant for TG (P < 0.05). There was no significant correlation between WHR and any of the variables (Table 3).

Discussion

We found that WC was strongly correlated with BMI. Similar findings have been observed in other studies [17,18]. A number of studies have also shown that high WC and BMI values precede the onset of morbidity due to diabetes and coronary heart disease [19,20]. However, 1 study found that both overall obesity and abdominal obesity were associated with the risk of CHD in women [21]. The utility of BMI and WC in predicting obesity-related health risk factors has been recognized by the National Heart, Lung, and Blood Institute of the National Institutes of Health, whose guidelines indicate that the health risk factors increase in a graded fashion when moving from the normal weight through the obese BMI categories, and that within each BMI category men and women with high WC values are at greater health risk than those with normal WC values [22]. Thus, it is assumed that BMI and WC have independent effects on obesity-related health risk factors. In fact, recent findings indicate that WC is a stronger marker of health risk than BMI [23].

The correlations observed between WC and lipid profile in the analysis changed after removing the total adiposity effect. The partial correlation and z-test for Fisher’s zeta transformation suggested that WC had more effect on lipids/lipoproteins than WHR in women. A study in Danish men and women 35–65 years of age showed that more of the lipid variation was explained by overall obesity in men and more of the variation was explained by abdominal obesity in women [24]. Therefore, this issue needs to be further investigated.

After adjustment for BMI and age, WC remained significantly correlated with plasma TC and TG. Iranians are predisposed to raised serum lipid levels due to a diet rich in saturated fats and low physical activity [25,26]. Our study did not show strong significant correlations between WC and LDL-C and HDL-C after adjustment for BMI and age.

The main significant abnormalities of lipids/lipoproteins related to central obesity were increased TC and TG for WC index. It seems that in women, WC was more associated with abnormal lipid/lipoprotein profiles than WHR. However, further investigation is needed on women in Sistan and Baluchestan to prevent and treat obesity because of its association with diabetes, coronary heart disease and other serious health conditions.

In conclusion, although several studies have analysed the association between serum lipids and anthropometric markers, some researchers, including ourselves, conclude that WC is a better anthropometric index of fat location for predicting lipid profile in overweight and obese adult women [5].

Acknowledgements

Our thanks go to all who participated actively in this project, especially the participants, physicians (Khosravi, Khaleghi Mogaddam, Porsaberi, Shideh, Karami,Sargolzaei and Masinaie) and experts (Porsharifi, Alavi, Mirshekar and Bahramian) who work in Zahedan Blood Transfusion Laboratory. We also thank Dr Saneii Mogaddam (head of Zahedan Blood Transfusion Laboratory), Dr Arab (Associate Professor, Zahedan University of Medical Sciences) and Dr Pourghasem (Assistant Professor, Tabriz University of Medical Sciences) for their invaluable help.

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