R. Kelishadi,1 M. Gharipour,1 G.H. Sadri,2 A.A. Tavasoli3 and A. Amani4
ABSTRACT As part of the Isfahan Healthy Heart Program, we evaluated the prevalence of cardiovascular disease risk factors in Iranians with generalized and abdominal obesity. We carried out a crosssectional study on 3694 participants aged ≥ 19 years. Overall, 36.6% of men and 35.9% of women were overweight; 11.2% of men and 28.1% of women were obese. Mean body mass index (BMI), waist circumference (WC) and waist/hip ratio (WHR) increased with age up to 65 years. Total serum cholesterol, triglycerides and 2-hour post-load plasma glucose increased with BMI, WC and WHR in both sexes. Prevalence of metabolic syndrome was 19.8% in females with normal BMI, 48.1% in overweight females and 63.2% in obese females. In males, corresponding values were 3.7%, 18.0% and 40.1%.
Facteurs de risque de maladie cardio-vasculaire, syndrome métabolique et obésité dans une population iranienne
RÉSUMÉ Dans le cadre du programme de santé cardiaque d’Ispahan, nous avons évalué la prévalence des facteurs de risque de maladie cardio-vasculaire chez des Iraniens présentant une obésité généralisée et abdominale. Nous avons réalisé une étude transversale sur 3694 participants âgés de 19 ans et plus. Globalement, 36,6 % des hommes et 35,9 % des femmes étaient en surpoids ; 11,2 % des hommes et 28,1 % des femmes étaient obèses. L’indice de masse corporelle (IMC), le tour de taille et le rapport taille/hanches augmentaient avec l’âge jusqu’à 65 ans. Cette augmentation s’accompagnait chez les deux sexes d’une élévation des taux de cholestérol sérique total, de triglycérides et de glycémie deux heures après une charge en glucose. La prévalence du syndrome métabolique était de 19,8 % chez les femmes présentant un IMC normal, de 48,1 % chez les femmes en surpoids et de 63,2 % chez les femmes obèses. Chez les hommes, les valeurs correspondantes étaient de 3,7 %, 18,0 % et 40,1 %.
1Isfahan Cardiovascular Research Centre of Isfahan University of Medical Sciences (WHO Collaborating Centre); 2Vice Chancellery for Research; 3Department of Cardiology, Isfahan University of Medical Sciences, Isfahan, Islamic Republic of Iran (Correspondence to R. Kelishadi:
4Health Office, Arak University of Medical Sciences, Arak, Islamic Republic of Iran.
Received: 11/01/06; accepted: 15/03/06
EMHJ, 2008, 14(5): 1070-1079
Introduction
The prevalence of obesity is rapidly increasing in both developed and developing countries [1,2].The negative effect of obesity on health and longevity is well documented [3,4]. A review on obesity in the World Health Organization (WHO) Eastern Mediterranean Region showed that women had a higher prevalence (35%–75%) than men (30%–60%) [5]. A recent review on the situation in the Islamic Republic of Iran revealed that the prevalence of overweight among urban residents aged 15–39 years and 40–69 years was estimated at about 22% and 40% respectively. Corresponding values in rural areas were 16% and 26% [6].
A simple measure such as body mass index (BMI) is commonly used as a surrogate measure of obesity in epidemiological studies as well as in clinical practice. It does not, however, distinguish between the contribution to body weight of fat tissue and that of muscle, bone and water, nor does it provide any information regarding fat distribution, and there is considerable variability in body composition for any given BMI [7,8].
It is important to distinguish between metabolically obese persons and those who are overweight but metabolically normal. Bearing in mind that the most important clinical issue is not overweight per se, but rather the metabolic consequences of excess adiposity, determining abdominal obesity is important [9]. However, the influence of overweight and obesity on cardiovascular disease (CVD) risk factors and multiple metabolic syndromes may differ between populations [10].
The present study was performed in order to evaluate the CVD risk factors in individuals with generalized and abdominal obesity in an Iranian population studied as part of the baseline survey of a communitybased interventional programme (Isfahan Healthy Heart Programme) [11].
Methods
This cross-sectional study was conducted during 2000–2001 in a representative sample of 3562 individuals living in Isfahan, the second largest city in the country, located in the central part of the Islamic Republic of Iran. According to the national population census, the total population in Isfahan was 1 750 000 in 1999.
The methodology used in this study has been described in detail in a previously published study from the Isfahan Healthy Heart Program [11], and is described in brief here. A total of 1770 women and 1924 men aged ≥ 19 years were selected by 2stage random cluster sampling. All participants were Iranian and mentally competent, and not pregnant in the case of females. All instruments used for anthropometric measurements were standardized before the examination, and the balances and sphygmomanometers were zero-calibrated. To reduce inter-observer variation, we trained the team working on the project, and the supervisor of each team double-checked a sub-sample of the recorded measurements. In order to reduce the potential for variability in measurements, the supervisor of each team closely observed the physical examinations.
Participants were invited to visit the survey centres for risk factor measurements and clinical examination. All participants gave informed consent for the study, which was approved by the ethics committee of Isfahan Cardiovascular Research Centre, Isfahan University of Medical Sciences.
Personal, demographic and lifestyle information were obtained using a standardized questionnaire. Height was measured with participants standing without shoes to the nearest 0.5 cm using a secured metal ruler; weight was measured in light clothing using calibrated scales. Body mass index (BMI) was calculated as weight/height2 (kg/m2). Waist circumference (WC) was measured at a level midway between the lower rib margin and the iliac crest to the nearest 0.5 cm and hip circumference at the level of the greater trochanter; then waist/ hip ratio (WHR) was calculated.
Underweight was defined as BMI < 18.5 kg/m2, normal weight as BMI 18.5–24.9 kg/m2, overweight as BMI 25–29.9 kg/m2 and obesity as BMI ≥ 30 kg/m2. Abdominal obesity was defined as WC ≥ 102 cm for men and ≥ 88 cm for women. Genderspecific cut-off points of ≥ 0.95 and ≥ 0.80 for WHR were used for men and women respectively.
Blood pressure (BP) was taken on the right arm of the participants, who had been asked to sit for 5 minutes before the measurement. Blood pressure was measured using zero-calibrated sphygmomanometers with appropriate size cuff. The mean of 2 readings for systolic Korotkoff phase and diastolic (Korotkoff phase 5) pressure was recorded.
After measuring BP, venous blood samples were drawn between 07:30 and 09:30 from all participants after 12–14 hours of overnight fasting; these were centrifuged within 30–45 minutes of collection. The 2hour post-load plasma glucose level (2-hpp) was checked on venous blood samples (in a fasting state and 2 hours after drinking a glucose solution).
Serum total cholesterol (TC) and triglycerides (TG) were measured using enzymatic colorimetric methods. High-density lipoprotein cholesterol (HDL-C) was determined after dextran sulphate–magnesium chloride precipitation of non-HDL-C. Lowdensity lipoprotein cholesterol (LDL-C) was calculated according to the Friedewald formula in serum samples with TG ≤ 400 mg/dL [12].
All blood samples were analysed in the laboratory of Isfahan Cardiovascular Research Centre, which meets the criteria of the National Reference Laboratory (a WHO collaborating centre) and is under external quality control of the central laboratory of St Rafael University, Leuven, Belgium.
Smoking was assessed by a selfadministered questionnaire. Current smoking was defined as persons who had smoked regularly more than once a day on average for ≥ 1 year and who had smoked during the preceding month.
Metabolic syndrome was defined according to the Third Report of the Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults, i.e. having ≥ 3 of the following abnormalities: waist circumference > 102 cm in men or > 88 cm in women, serum triglycerides ≥ 150 mg/ dL, HDL-C < 40 mg/dL in men and < 50 mg/dL in women, systolic BP ≥ 130 mmHg and/or diastolic BP ≥ 85 mmHg (high BP) or having treatment for hypertension, and fasting serum glucose ≥ 110 mg/dL or having treatment for diabetes [13].
Data were collected for statistical analysis and stored in a database. Recorded information was checked for missing values and data entry errors. All missing data and outliers were rechecked by a trained team. Statistical analyses were performed using SPSS, version 11. The independent t-test was used to compare the mean values of variables. The Yates corrected chi-squared test was used to determine the prevalence of different categorical variables. The ageadjusted odds ratio of CVD risk factors according to generalized and abdominal obesity was assessed by logistic regression model.
Results
Overall, 36.6% (705) of men and 35.9% (636) of women were overweight, and 11.2% (217) of men and 28.1% (498) of women were obese. Abdominal obesity was significantly more prevalent in women than in men, 74.2% vs 16.8% respectively (P < 0.0001).
Mean and standard deviation of the anthropometric variables are presented in Table 1 and show a progressive increase in mean BMI, WC and WHR with age in both sexes up to 65 years.
There was a significant increase in the serum levels of TC, LDL-C, TG, fasting blood sugar (FBS) and 2-hpp glucose level in both sexes. The prevalence of HDL-C ≤ 40 mg/dL increased with BMI in women but not in men. In addition, in both sexes, prevalence of metabolic syndrome and high BP increased significantly with BMI (Table 2) (P < 0.0001).
There was a significant increase in all CVD risk factors with abdominal obesity in both sexes. Prevalence of smoking was lower in men with abdominal obesity. Prevalence of metabolic syndrome was 55.6% in women and 58.6% in men with abdominal obesity (Table 3).
The prevalence of all risk factors except smoking increased significantly with WHR (Table 4).
Age-adjusted odds ratios for CVD risk factors according to generalized and abdominal obesity are presented in Table 5, and show an increasing risk of CVD risk factors with BMI, WC and WHR. The highest odds ratio was found for impaired 2-hpp and high BMI, followed by impaired 2-hpp and high WC. Considering metabolic syndrome, the highest odds ratio was found with WHR.
Discussion
The current study showed a high prevalence of generalized and abdominal obesity in the population studied. In addition, BMI, WC and WHR were significantly related to other major CVD risk factors except smoking.
The positive association between obesity and TC, LDL-C, TG and FBS, and the inverse association with HDL-C are in line with some previous studies in both sexes [14,15]. In the present study, a significant association was shown between generalized and abdominal obesity and FBS and 2-hpp. These findings are consistent with those of several epidemiological and clinical studies confirming impaired glucose tolerance, obesity, dyslipidaemia and hypertension as part of a multiple metabolic syndrome [16–18].
Our results are also in agreement with many other studies showing an association between body composition and BP [19,20]. Since obesity is the strongest determinant of hypertension, weight control could be the most effective way to prevent hypertension in a population and to reduce BP among overweight hypertensive patients.
In the present study, odds ratio for smoking was significantly high in those with generalized and abdominal obesity, but the prevalence of smoking was not significantly higher in obese compared to non-obese persons. Different studies have shown a complicated association between smoking and CVD. Smoking is a major CVD risk factor, but at the same time, seems to protect against obesity [21,22]. Nevertheless weight control should be an integral part of CVD prevention among both non-smokers and smokers.
Our results indicated a significant association between CVD risk factors (other than smoking) and both generalized and abdominal obesity. In addition, all biochemical CVD risk factors increased with BMI, WC and WHR. However the relationship between BMI and body fat content varies, and simple measures such as WC and WHR can more easily predict the health burden of obesity across populations.
Few studies exist on the prevalence of abdominal obesity. A study in Oman found a prevalence of 24.6%, significantly higher in women (44.3%) than in men (4.7%) [23]. In a previous Iranian study, prevalence of obesity and abdominal obesity was higher in women than in men; 67% vs. 29% and 93% vs. 74%, respectively [24]. A WHO consultation on obesity in 1997 concluded that at the population level, the obesity epidemic reflects profound changes in different societies. Key changes to societal structures implicated in the rapid global rise of obesity include increasing urbanization, a fall in spontaneous and work-related physical activity and overconsumption of high-fat foods [25].
Limited data exist on the prevalence of metabolic syndrome in the Region, it is reported to be 21% in Oman [23] and 23.1% [26] to 33.7% [27] in different parts of the Islamic Republic of Iran. A review of the 3 surveys conducted at national level in 1999, 1995 and 2002 showed non-communicable diseases and their related morbidity and mortality were becoming a significant serious public health problem in this country [28].
The Middle East area has the highest dietary energy surplus in the developing world, and taking into consideration the rapid changes in the demographic characteristics of the Region, this has led to rapidly rising obesity rates [29].
Such a high prevalence of CVD risk factors in our community can be a reflection of the sedentary lifestyle and the rapid nutrition transition in the country, which may be secondary to the rapid change in fertility and mortality patterns and to urbanization which have led to a considerable imbalance in food consumption, with low nutrient density characterizing diets, and overconsumption evident among more than a third of households [30].
Conclusion
The prevalence of generalized and abdominal obesity as well as related CVD risk factors is quite high in the Islamic Republic of Iran. Measurement of WC should be integrated intoe routine physical examinations. Public health strategies for obesity prevention from an early age along with community-based interventions for lifestyle change should be integrated into the present health care system.
Acknowledgements
Isfahan Healthy Heart Programme is supported by Grant No. 31309304 from the Iranian Budget and Programming Organization in the Department of Health of the Ministry of Health and Medical Education, Isfahan Cardiovascular Research Centre and Isfahan Provincial Health Centre, both affiliated to Isfahan University of Medical Sciences. We thank the personnel of Isfahan and Arak provincial health offices for their cooperation. We also thank all members of the computer unit and laboratories of Isfahan Cardiovascular Research Centre for their assistance.
Isfahan Healthy Heart Programme is indexed as ID No. 86 in the Canadian Heart Health Promotion projects (http://www.med. mun.ca/g8hearthealth/pages/enter.htm).
References
- Berrios X et al. Distribution and prevalence of major risk factors of noncommunicable disease in selected countries: the WHO Inter-Health Programme. Bulletin of the World Health Organization, 1997, 75(2):99–108.
- Reddy KS, Yusuf S. The emerging epidemic of cardiovascular disease in developing countries. Circulation, 1998, 97:596–601.
- Suk SH et al. Abdominal obesity and risk of ischemic stroke: the Northern Manhattan Stroke Study. Stroke, 2003, 34(7):1586–92.
- Obesity in adulthood and its consequences for life expectancy: a life-table analysis. Annals of internal medicine, 2003, 138(1):24–32.
- Musaiger AO. Overweight and obesity in the Eastern Mediterranean Region: can we control it? Eastern Mediterranean health journal, 2004, 10(6):789–93.
- Rashidi A et al. Prevalence of obesity in Iran. Obesity reviews, 2005, 6(3):191–2.
- Wellens RI et al. Relationship between the body mass index and body composition. Obesity research, 1996, 4:35–44.
- Sinai A. New components of the metabolic syndrome: culprits or bystanders. Nutrition metabolism and cardiovascular diseases, 2002, 11:217–20.
- Aronne LJ, Segal KR. Adiposity and fat distribution outcome measures: assessment and clinical implications. Obesity research, 2002, 10(Suppl. 1):14S–21S.
- Bender R et al. Body weight, blood pressure, and mortality in a cohort of obese patients. American journal of epidemiology, 2002, 156(3):239–45.
- Sarraf-Zadegan N et al. Isfahan Healthy Heart Program: comprehensive integrated community-based program for cardiovascular disease prevention and control, design, methods and initial experience. Acta cardiologica, 2003, 58(4):309–20.
- Friedewald WT, Levy RI, Fredrickson DS. Estimation of the concentration of low-density lipoprotein cholesterol in plasma, without use of the preparative ultracentrifuge. Clinical chemistry, 1972, 18(6):499–502.
- Third report of the National Cholesterol Education Program Expert Panel on Detection and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III). Bethesda, Maryland, National Institutes of Health, 2001 (NIH Publication 01–3670).
- Jousilahti P et al. Body weight, cardiovascular risk factors, and coronary mortality. 15-year follow-up of middle aged men and women in Eastern Finland. Circulation, 1996, 93:1372–9.
- Pi-Sunyer FX. Medical hazards of obesity. Annals of internal medicine, 1993, 119:655–60.
- Reaven GM. Role of insulin resistance in human disease. Diabetes, 1988, 37:1595–607.
- Matsuzawa Y et al. Pathophysiology and pathogenesis of visceral fat obesity. Annals of the New York Academy of Sciences, 1995, 748 (1):399–406.
- Grundy SM. Obesity, metabolic syndrome, and coronary atherosclerosis. Circulation, 2002, 105(23):2696–8.
- Padwal R, Straus SE, McAlister FA. Evidence based management of hypertension. Cardiovascular risk factors and their effects on the decision to treat hypertension: evidence based review. British medical journal, 2001, 322(7292):977–80.
- Hunt SC et al. Predictors of an increased risk of future hypertension in Utah: a screening analysis. Hypertension, 1991, 17:969–76.
- Neaton JD, Wentworth D. Serum cholesterol, blood pressure, cigarette smoking and death from coronary heart disease. Archives of internal medicine, 1992, 152:56–64.
- Marti B et al. Smoking and leanness: evidence for change in Finland. British medical journal, 1989, 298:1287–98.
- Al-Lawati JA et al. Prevalence of the metabolic syndrome among Omani adults. Diabetes care, 2003, 26(6):1781–5.
- Azadbakht L et al. General obesity and central adiposity in a representative sample of Tehranian adults: prevalence and determinants. International journal for vitamin and nutrition research, 2005, 75(4):297–304.
- Obesity: preventing and managing the global epidemic. Report of a WHO consultation on obesity. Geneva, World Health Organization, 1998 (WHO/NUT/NCD/98-1).
- Kelishadi et al. The metabolic syndrome in hypertensive and normotensive subjects: the Isfahan Healthy Heart Programme. Annals of the Academy of Medicine, Singapore, 2005, 34(3):243–9.
- Azizi F et al. Prevalence of metabolic syndrome in an urban population: Tehran Lipid and Glucose Study. Diabetes research and clinical practice, 2003, 61(1):29–37.
- Sheikholeslam R et al. Non communicable disease risk factor in Iran. Asia Pacific journal of clinical nutrition, 2004, 13(Suppl.):S100.
- Galal O. Nutrition-related health patterns in the Middle East. Asia Pacific journal of clinical nutrition, 2003, 12(3):337–43.
- Ghassemi H, Harrison G, Mohammad K. An accelerated nutrition transition in Iran. Public health nutrition, 2002, 5(1A):149–55.