|Year : 2015 | Volume
| Issue : 6 | Page : 804-810
Optimal waist circumference cutoff points for the determination of abdominal obesity and detection of cardiovascular risk factors among adult Egyptian population
Samir H Assaad-Khalil1, Magued M Mikhail2, Talaat Abdel Aati1, Adel Zaki3, Myriam A Helmy2, Magdy H Megallaa1, Rehab Hassanien1, Kamel H Rohoma1
1 Department of Internal Medicine, Unit of Diabetes and Metabolism, University of Alexandria, Faculty of Medicine, Alexandria, Egypt
2 Department of Clinical Pathology, University of Alexandria, Faculty of Medicine, Alexandria, Egypt
3 Department of Biostatistics, University of Alexandria, Medical Research Institute, Alexandria, Egypt
|Date of Web Publication||20-Oct-2015|
Samir H Assaad-Khalil
Department of Internal Medicine, Unit of Diabetes and Metabolism, Alexandria Faculty of Medicine, Alexandria University, 17 Champollion Street Azarita, Alexandria
Source of Support: None, Conflict of Interest: None
| Abstract|| |
Objective: To determine the best anthropometric measurement of obesity, and its optimal cutoff, that best predicts the presence of cardiovascular risk factors among adult Egyptian population. Methods: This is a cross-sectional study including a representative randomly chosen sample of the adult Egyptian population from all Alexandria Districts (the second largest governorate in Egypt) based on the multistage random technique. It included 3209 subjects (1567 men, 1642 women) aged 18–80 years from urban and rural areas. The response rate was 80.2%. History, blood pressure, and anthropometric measurements were taken. Laboratory investigations included fasting lipid profile, fasting plasma glucose, and serum uric acid. Different criteria of metabolic syndrome were used and compared. Receiver operator characteristic curve and Youden index were used to determine predictability and cutoffs. Results: Waist circumference (WC) is the best to predict at least two other components of the metabolic syndrome as defined by the International Diabetes Federation (IDF). The optimal WC cutoffs were 100.5 and 96.25 cm for Egyptian men and women, respectively. The Joint Interim Statement definition (JIS) of metabolic syndrome was the best to predict cardiovascular disease in both genders and diabetes mellitus in women. The prevalence of metabolic syndrome and abdominal obesity was 42.5%, 61%, respectively (ATPIII definition); 43.8%, 61% (American Heart Association definition); 44.3%, 76.4% (IDF definition); 33.8%, 51.7% (IDF definition with Egyptian cutoffs); and 41.5%, 51.7% (JIS with Egyptian cutoffs). Conclusion: WC cutoffs in Egyptians differ from those currently recommended. Prevalence of metabolic syndrome and abdominal obesity is high in Egypt, despite being lower on using the Egyptian cutoffs.
Keywords: Abdominal obesity, cutoff point, Egypt, metabolic syndrome, waist circumference
|How to cite this article:|
Assaad-Khalil SH, Mikhail MM, Aati TA, Zaki A, Helmy MA, Megallaa MH, Hassanien R, Rohoma KH. Optimal waist circumference cutoff points for the determination of abdominal obesity and detection of cardiovascular risk factors among adult Egyptian population. Indian J Endocr Metab 2015;19:804-10
|How to cite this URL:|
Assaad-Khalil SH, Mikhail MM, Aati TA, Zaki A, Helmy MA, Megallaa MH, Hassanien R, Rohoma KH. Optimal waist circumference cutoff points for the determination of abdominal obesity and detection of cardiovascular risk factors among adult Egyptian population. Indian J Endocr Metab [serial online] 2015 [cited 2020 Jun 4];19:804-10. Available from: http://www.ijem.in/text.asp?2015/19/6/804/167556
| Introduction|| |
The metabolic syndrome is a complex of interrelated risk factors for atherosclerotic cardiovascular disease (CVD) and type 2 diabetes. These factors include dysglycemia, raised blood pressure (BP), elevated triglycerides, low high-density lipoprotein (HDL) cholesterol, and obesity (particularly central adiposity).,,, Over the last two decades, there has been a continuous dispute over which measure of obesity is best able to identify individuals being at increased cardiovascular risk. Compared to BMI, anthropometric measures of abdominal obesity; waist circumference (WC), waist-to-hip ratio (WHR), and waist-to-height ratio (WHtR) seem to be more strongly associated with metabolic risk factors, incident CVD events, and death.,,
The cardio-metabolic risk associated with abdominal obesity is mainly due to the presence of visceral adipose tissue, which promotes insulin resistance, hypertension, dyslipidemia, prothrombotic state, dysregulated adipokine secretion or function, and a proinflammatory state. Visceral adiposity can be precisely measured by magnetic resonance imaging, computed tomography scan, or dual energy X-ray absorptiometry; however, these techniques are too expensive and impractical for routine use. WC and WHR are the most common alternatives correlating with visceral adiposity; however, WC is more strongly associated.
Many studies ,,,, revealed the importance of WC in predicting cardiometabolic risk factors and the adverse outcomes themselves, e.g., diabetes mellitus (DM), CVD, and mortality. However, the relations between WC and cardiometabolic risk factors or health outcomes are affected by demographic variables, most importantly race-ethnicity, sex, and age. Thus, different populations may differ in the level of risk associated with a particular WC.
The International Diabetes Federation (IDF) highlighted that the cutoff level used for WC to define central obesity and metabolic syndrome should vary among different ethnic groups and suggested also that the European cutoff points would be used for Middle East countries until more specific data are available from this region. However, these cutoffs may not fit for our Egyptian or Arab population.
In this study, we intended to identify which anthropometric measurement of obesity, and its cutoff points, best predicts risk factors clustering. Also, to determine which definition of metabolic syndrome best predicts the presence of DM and CVD in Egyptian population. Finally, we aimed at identifying the prevalence of abdominal obesity and metabolic syndrome comparing different definitions.
| Research Design and Methods|| |
Study design and setting
This is a cross-sectional household survey. It was conducted in the years 2009–2011 on a representative sample of the population of Alexandria. Alexandria is the second-largest governorate in Egypt with an estimated population around 5 million in 2009. It is composed of urban, rural, and Bedouin Districts; and represents the Egyptian population from a demographic and socioeconomic perspective with male to female distribution similar to the national one (51%, 49% respectively).
Choosing the study sample was based on the multistage random technique. All the 14 districts of Alexandria Governorate were included, where the sample was distributed proportionally among them. In each district, streets were randomly selected, and a systematic random sampling method was used to select houses from among the list of houses' numbers present in the selected streets. All households were approached, and those who were eligible to the study and accept to participate were included until we reached the prespecified sample size. Exclusion criteria were pregnancy and ascites from any cause. Out of 4000 eligible subjects approached, 3209 (80.2%) agreed and came to Alexandria Main University Hospital to carry out physical examination and blood sampling; the main reason for nonresponse was lack of time. The total study sample sums up to 1567 men and 1642 women aged 18–80 years.
The study was performed according to the guidelines of the Helsinki Declaration and approved by The Ethics Committee of the Alexandria Faculty of Medicine. All participants who freely accepted to participate in the study signed a written informed consent. All subjects were interviewed by a physician to complete a questionnaire about demographic data (age, sex, occupation, and education), brief dietary and exercise history, history and family history of DM, hypertension, dyslipidemia, angina and/or ischemic heart disease (IHD), stroke, and peripheral arterial disease. Physical examination was done by a physician and included measurement of BP, weight, height, WC, and hip circumference.
Blood pressure was measured in the right arm, in the sitting position after 5 min rest, using standardized and calibrated mercury sphygmomanometer. A mean of two measurements was taken. Weight and height were measured in light clothing without shoes, using calibrated instruments, and then BMI was computed. WC was measured using a nonstretchable tape, placed horizontally midway between the inferior rib margin and the superior border of the iliac crest. Measurement was taken while the subject is standing after exhaling with the arms hanging freely. Hip circumference was measured at the widest area around the hips (over the femoral greater trochanters) while the subject standing, using the same tape. WHR and WHtR were calculated.
Venous blood samples were withdrawn from every subject after an overnight fast. Serum triglycerides assay was done by enzymatic colorimetric tests with glycerol phosphate oxidase. Total serum cholesterol was assayed by enzymatic colorimetric tests with cholesterol esterase and cholesterol oxidase. HDL-cholesterol was measured after precipitation of the apolipoprotein B-containing lipoproteins with phosphotungstic acid. Low-density lipoprotein cholesterol was calculated by the Friedewald formula. Uric acid was measured using colorimetric tests. Plasma glucose was measured by a glucose oxidase method.
Definition of obesity-associated risk factors
High BP was defined as self-reported use of antihypertensive medications or a systolic BP ≥130 mmHg and or diastolic BP ≥85 mmHg.,, Diabetes was defined as a fasting plasma glucose ≥126 mg/dl, or use of antidiabetic medications. Hyperglycemia was defined as a fasting plasma glucose ≥of 110 mg/dl for National Cholesterol Education Program Adult Treatment Panel III (NCEP-ATPIII), and ≥100 mg/dl as per American Heart Association (AHA) and IDF definitions of the metabolic syndrome., Low HDL-cholesterol was defined for men as <40 mg/dl, and for women as <50 mg/dl.,, Hypertriglyceridemia was defined as ≥150 mg/dl or self-reported use of antihypertriglyceridemia medications.,,
Data analysis was done using Statistical Package for Social Sciences (SPSS) software (version 16, SPSS, Inc, Chicago, IL, USA). Continuous data were expressed as mean ± standard deviation. Differences between males and females in means of WC, and other quantitative variables related to the metabolic syndrome with 95% confidence interval were presented. Percentiles of WC for males and females were calculated. For assessment of agreement between different definitions of the metabolic syndrome, the Kappa statistic test (κ) was used.
The receiver operator characteristic (ROC) curve was used to describe the overall predictive value of WC, BMI, WHR, and WHtR to predict the presence of each cardiovascular risk factor, and the clustering of two or more cardiovascular risk factors which identifies metabolic syndrome. The area under the ROC curve (AURC) was used as a general measure of discrimination of a predictor. The best cutoff point was identified by calculating the Youden index (Youden index = sensitivity + specificity−1). The WC value at which the Youden index is maximal was considered the chosen cutoff point.
Odds ratio (OR) with 95% confidence interval (CI) was calculated as an estimate for the relative risk of CVD and type 2 DM in the presence (versus absence) of the metabolic syndrome according to different definitions.
| Results|| |
The study included 3209 subjects (1567 males and 1642 females). [Table 1] summarizes the demographic, clinical, and biological data of the study population. The percentile distribution of WC in adult males and females revealed equal 5th, 50th, and 75th percentiles in both genders with WC of 75, 100, and 110 cm, respectively. Other percentiles were persistently higher in females than males by 0.5–3 cm.
Accuracy of anthropometric measurement for prediction of cardiovascular risk factors:
Using the area under ROC curve (AUC), four anthropometric measurements such as WC, WHR, WHtR, and BMI were assessed regarding the ability to predict cardiovascular risk. In both genders, the four measurements could significantly predict clustering of 2 or more risk factors (P = 0.000). However, in males, the AUC was highest with WC, followed by WHtR, WHR, and BMI; while in females, WC had the highest AUC, followed by WHtR, BMI, and WHR. [Table 2] shows the predictability of these measurements regarding each risk factor and the clustering of two or more cardiovascular risk factors. Interestingly, WC also had the highest AURC to predict general obesity and overweight in both genders.
|Table 2: Accuracy of waist circumference - waist-hip ratio - waist to height ratio and body mass index - presented as area under the ROC curve - with 95% confidence interval in predicting different criteria of metabolic syndrome (according to the IDF 2005 definition) in the study population (n = 3209) by sex|
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Waist circumference cutoff points
The point with the highest Youden index was selected to represent the cutoff with highest overall accuracy for predicting at least two other components of the metabolic syndrome. In males, the optimal WC cutoff was 100.5 cm (sensitivity 59.1%, specificity of 69%) [Figure 1]. The same cutoff was the optimal one to predict general obesity (BMI ≥30 kg/m 2) as well, (sensitivity 86.1% and specificity 85.5%). In females, the optimal cutoff was 96.25 cm (sensitivity 71.8%, specificity 55.4%). The cutoff point that predicted general obesity was very near to this (96.75 cm). Since WC is more importantly related to cardiometabolic risk factors than the general obesity, we chose a WC cutoff of 96.25 cm in Egyptian females as the optimal cutoff to identify those with 2 or more cardiovascular risk factor clustering and to a good extent, the presence of general obesity.
|Figure 1: Receiver operator characteristic curves for waist circumference to predict the presence of at least two other components of the metabolic syndrome, as defined by the International Diabetes Federation 2005, in men (a) and women (b). Area under the receiver operator characteristic curve: 0.693 in men (a) and 0.683 in women (b). Waist circumference cutoff point: 100.5 cm in men (sensitivity 59.1%, specificity 69%) (a) and 96.25 cm in women (sensitivity 71.8%, specificity 55.4%) (b)|
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A previous endeavor has been done by Ibrahim et al. on 2313 individuals. However, two-thirds of them were hypertensive which would certainly affect the study outcome. Furthermore, issuing cutoff points for hypertensive versus normotensive individuals is not the usual procedure for determination of the optimal WC cutoff points in a certain population. Another point is that the data in this study was collected from files of patient studied during phase-2 of the Egyptian National Hypertension Project which was conducted 20 years ago (1991–1993); the results should have certainly changed if derived from recent data (2009–2011) since prevalence of obesity and type 2 diabetes has significantly increased in Egypt over the past two decades.
The best definition to detect metabolic syndrome in the Egyptian population
Metabolic syndrome has many sets of criteria. In order to determine the best definition that could be adopted for the Egyptian population, we studied the ability of each definition to predict the presence of CVD and DM in the study population. In addition to NCEP-ATPIII, AHA, and IDF (with European cutoffs) definitions, we assessed two definitions using the suggested Egyptian cutoffs; the IDF, and the new 2009 definition of the Joint Interim Statement (JIS) force of the IDF Task on Epidemiology and Prevention; National Heart, Lung, and Blood Institute; AHA; World Heart Federation; International Atherosclerosis Society; and International Association for the Study of Obesity. [Table 3] shows the OR with 95% CI, in each definition.
|Table 3: Odd ratio and 95% CI for the presence of Cardiovascular disease and type 2 DM, presented according to different definitions of metabolic syndrome in males (n = 1567) and females (n = 1642)|
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It was found that the JIS definition with Egyptian cutoff could predict the presence of CVD in males and females better than all other definitions. Also, it was the best to predict the presence of DM in females and the third in males. IDF definition with European cutoffs was the least to predict CVD in females. IDF definition with Egyptian cutoffs was the least to predict DM in both genders and CVD in males. Thus, we recommend that the JIS definition with Egyptian cut-off points of WC is the most suitable for defining metabolic syndrome in Egyptians.
Prevalence of abdominal obesity and metabolic syndrome
Based upon NCEP-ATPIII, the prevalence of abdominal obesity was 43.3%, 78%, and 61% in men, women, and total population, respectively. It was 62.7%, 89.5%, and 76.4%, respectively according to IDF definition with European cutoffs. On applying the suggested Egyptian cutoff points using IDF or JIS definition, the prevalence was 44.9%, 76.4%, and 51.7% in men, women, and total population, respectively. Hence, it seems that NCEP-ATPIII, AHA, and the IDF definitions (with European cutoffs) have highly overestimated the prevalence of abdominal obesity, especially for females. However, using the new suggested Egyptian WC cutoff points, a more "realistic" prevalence is reached. It was noticed that the prevalence was significantly higher in females than males according to all definitions.
Similarly, the prevalence of metabolic syndrome was lower on using the suggested Egyptian cutoffs and was also significantly higher in females. Prevalence in men, women, and total population was 38.7%, 46.2%, and 42.5%, respectively according to ATPIII definition; 39.3%, 48.2%, and 43.8%, respectively according to AHA definition; 38.2%, 50.1%, and 44.3%, respectively according to IDF definition; 29.9%, 37.5%, and 33.8%, respectively according to IDF definition with Egyptian cutoffs; and finally it was 39.7%, 43.3%, and 41.5%, respectively according to JIS definition with Egyptian cutoffs definition.
Assessment of agreement between JIS and other definitions of metabolic syndrome
In the present study, we concluded that the JIS definition (with Egyptian cutoffs) is the best to be used for defining metabolic syndrome. Thus, agreement between this definition and others was assessed using Kappa statistic test. The highest grade of agreement was found between the JIS definition (with Egyptian cutoffs) and the AHA definition both in males (κ =0.992 [P = 0.000]) and females (κ = 902 [P = 0.000]), followed by ATPIII (κ = 0.979 [P = 0.000]) and (κ = 882 [P = 0.000]) respectively, then IDF (κ = 0.828 [P = 0.000]) and (κ = 826 [P = 0.000]) respectively, and lastly IDF with Egyptian cutoffs (κ = 0.787 [P = 0.000]) and (κ = 859 [P = 0.000]) in males and females respectively.
Relations between the prevalence of metabolic syndrome and other potential risk factors
The prevalence of metabolic syndrome was found to have a significant relation with age in both genders (higher in older groups), level of education in females (higher in illiterate), and occupation in both genders (higher in nonworking). It also has a significant relation with marital status in both genders (higher among married than single) and with residency (higher in urban than rural areas). Prevalence of metabolic syndrome was significantly higher in those with positive family history of DM, hypertension, and CVD in both genders while family history of obesity and dyslipidemia in males only. Metabolic syndrome was also more prevalent among nonexercising individuals and those with lower duration of work hours. There was no significant relation between the presence of metabolic syndrome and neither smoking, eating vegetables or fruits, nor polycystic ovary syndrome.
| Conclusion|| |
To our knowledge, this is the first Egyptian study that identifies WC cutoff points that best predict the presence of cardiovascular risk factors in a representative sample of adult Egyptian population regardless the presence of other co-morbidities. WC is the best anthropometric measurement that predicts clustering of two or more cardiometabolic risk factors and general obesity as well. The cutoffs are 100.5, 96.25 cm in men and women, respectively. These are higher than the Europid cutoffs currently recommended by the IDF for the Middle Eastern populations (94, 80 cm for men and women respectively).
The Egyptian cutoffs differ from those reported in other Middle Eastern and African countries, e.g. Iran (89, 91 cm), Oman (80, 84.5 cm), Iraq (97, 99 cm in men and women, respectively), Tunisia (85 cm for both genders), and the recently reported South African cutoffs (86, 92 cm in men and women respectively). This may be explained by the difference in ethnic origin of the Egyptians (Hamitic-Semetic) from other countries in Africa or the Arab Gulf Region. Also, social and nutritional factors play a crucial role. Another contributing factor may be the difference in statistical methods used to identify the cutoff points.
Using the suggested Egyptian WC cutoffs avoids the overestimated prevalence of abdominal obesity resulting from European cutoffs. Thus, it yields a more accurate reflection of the prevalence in Egypt, yet still high especially in females. The metabolic syndrome prevalence in Egypt is high according to all definitions with women more affected than men. The JIS definition (with Egyptian cutoffs for WC) is the best to define metabolic syndrome in the Egyptian population as judged by its highest predictive ability for the presence of IHD and type 2 DM.
The prevalence in Egypt is comparable to that in some Arab countries such as Saudi Arabia (39.6% ATPIII) and United Arab Emirate (39.3% ATPIII, 40.5% IDF); however, higher than Qatar, Oman, Kuwait, Jordan, and Tunisia. It is also higher than the prevalence in many European, American, and Asian countries, however, comparable to Greece, the Netherland, Brazil, and India.
The high prevalence of abdominal obesity and metabolic syndrome, with its subsequent reflection on increasing CVD and diabetes burden, is explained by the socioeconomic, lifestyle, and nutritional changes which have been occurring in the Egyptian community; and some other Arab countries, toward the unhealthy pattern. Thus, national health authorities should urgently implement the proper preventive and curative plans for this emerging epidemic.
Limitations of this study include its cross-sectional design and noninclusion of subjects from all Egyptian governorates.
Financial support and sponsorship
Conflicts of interest
There are no conflicts of interest.
| References|| |
Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults. Executive Summary of the Third Report of the National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol In Adults (Adult Treatment Panel III). JAMA 2001;285:2486-97.
Grundy SM, Cleeman JI, Daniels SR, Donato KA, Eckel RH, Franklin BA, et al.
Diagnosis and management of the metabolic syndrome: An American Heart Association/National Heart, Lung, and Blood Institute Scientific Statement. Circulation 2005;112:2735-52.
Alberti KG, Zimmet P, Shaw J. Metabolic syndrome – A new world-wide definition. A Consensus Statement from the International Diabetes Federation. Diabet Med 2006;23:469-80.
Alberti KG, Eckel RH, Grundy SM, Zimmet PZ, Cleeman JI, Donato KA, et al
. Harmonizing the Metabolic syndrome: A joint interim statement force of the International diabetes Federation Task on Epidemiology and Prevention; National Heart, Lung, and Blood Institute; American Heart Association; World Heart Federation; International Atherosclerosis Society; and International Association for the Study of Obesity. Circulation 2009;120:1640-5.
Wang Y, Rimm EB, Stampfer MJ, Willett WC, Hu FB. Comparison of abdominal adiposity and overall obesity in predicting risk of type 2 diabetes among men. Am J Clin Nutr 2005;81:555-63.
Kannel WB, Cupples LA, Ramaswami R, Stokes J rd, Kreger BE, Higgins M. Regional obesity and risk of cardiovascular disease; the Framingham Study. J Clin Epidemiol 1991;44:183-90.
Nicklas BJ, Penninx BW, Ryan AS, Berman DM, Lynch NA, Dennis KE. Visceral adipose tissue cutoffs associated with metabolic risk factors for coronary heart disease in women. Diabetes Care 2003;26:1413-20.
Maury E, Brichard SM. Adipokine dysregulation, adipose tissue inflammation and metabolic syndrome. Mol Cell Endocrinol 2010;314:1-16.
Kamel EG, McNeill G, Han TS, Smith FW, Avenell A, Davidson L, et al.
Measurement of abdominal fat by magnetic resonance imaging, dual-energy X-ray absorptiometry and anthropometry in non-obese men and women. Int J Obes Relat Metab Disord 1999;23:686-92.
Yusuf S, Hawken S, Ounpuu S, Bautista L, Franzosi MG, Commerford P, et al.
Obesity and the risk of myocardial infarction in 27,000 participants from 52 countries: A case-control study. Lancet 2005;366:1640-9.
Carey VJ, Walters EE, Colditz GA, Solomon CG, Willett WC, Rosner BA, et al.
Body fat distribution and risk of non-insulin-dependent diabetes mellitus in women. The Nurses' Health Study. Am J Epidemiol 1997;145:614-9.
Hu FB, Willett WC, Li T, Stampfer MJ, Colditz GA, Manson JE. Adiposity as compared with physical activity in predicting mortality among women. N Engl J Med 2004;351:2694-703.
Klein S, Allison DB, Heymsfield SB. Waist circumference and cardiometabolic risk: A consensus statement from Shaping America's Health: Association for Weight Management and Obesity Prevention; NAASO, The Obesity Society; the American Society for Nutrition; and the American Diabetes Association. Am J Clin Nutr 2007;85:1197-2202.
Misra A, Wasir JS, Vikram NK. Waist circumference criteria for the diagnosis of abdominal obesity are not applicable uniformly to all populations and ethnic groups. Nutrition 2005;21:969-76.
Larsson I, Henning B, Lindroos AK, Näslund I, Sjöström CD, Sjöström L. Optimized predictions of absolute and relative amounts of body fat from weight, height, other anthropometric predictors, and age 1. Am J Clin Nutr 2006;83:252-9.
Ibrahim MM, Elamragy AA, Girgis H, Nour MA. Cut off values of waist circumference and associated cardiovascular risk in Egyptians. BMC Cardiovasc Disord 2011;11:53.
Delavari A, Forouzanfar MH, Alikhani S, Sharifian A, Kelishadi R. First nationwide study of the prevalence of the metabolic syndrome and optimal cutoff points of waist circumference in the Middle East: The national survey of risk factors for noncommunicable diseases of Iran. Diabetes Care 2009;32:1092-7.
Al-Lawati JA, Jousilahti P. Body mass index, waist circumference and waist-to-hip ratio cut-off points for categorisation of obesity among Omani Arabs. Public Health Nutr 2008;11:102-8.
Mansour AA, Al-Hassan AA, Al-Jazairi MI. Cut-off values for waist circumference in rural Iraqi adults for the diagnosis of metabolic syndrome. Rural Remote Health 2007;7:765.
Bouguerra R, Alberti H, Smida H, Salem LB, Rayana CB, El Atti J, et al.
Waist circumference cut-off points for identification of abdominal obesity among the tunisian adult population. Diabetes Obes Metab 2007;9:859-68.
Motala AA, Esterhuizen T, Pirie FJ, Omar MA. The prevalence of metabolic syndrome and determination of the optimal waist circumference cutoff points in a rural South african community. Diabetes Care 2011;34:1032-7.
el Sawy M, Helmy-Khalil S, Zaky A, Marcelli-Barge A. HLA-A, -B and -C specificities in a sample of the Nile Delta population, Egypt. Tissue Antigens 1984;24:206-8.
Mabry RM, Reeves MM, Eakin EG, Owen N. Gender differences in prevalence of the metabolic syndrome in Gulf Cooperation Council Countries: A systematic review. Diabet Med 2010;27:593-7.
Grundy SM. Metabolic syndrome pandemic. Arterioscler Thromb Vasc Biol 2008;28:629-36.
[Table 1], [Table 2], [Table 3]
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