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I t is ironic that as people continue to suffer frommalnourishment and starvation in some poor parts of the world, others are gone to the other extreme of being overweight or obese particularly in developed as well as developing countries. A large number of individuals in our society perceive overweight or obesity as being healthy in contrast to

From the Department of Medicine (Al-Nozha, Al-Maatouq, Arafah, Khalil, Al-Harthi, Al-Mobeireek, Nouh), College of Medicine and King Khalid University Hospital, Department of Preventive Medicine (Al-Mazrou), Ministry of Health, Department of Preventive Dental Medicine (Khan), College of Dentistry, King Saud University, Department of Adult Cardiology (Abdullah), Prince Sultan Cardiac Centre, Department of Cardiovascular (Al-Shahid), King Faisal Specialist Hospital, Riyadh, Department of Medicine (Al-Khadra), King Faisal University, Dammam and the Department of Medicine (Al-Marzouki), King AbdulAziz University, Jeddah, Kingdom of Saudi Arabia.

Received 27th September 2004. Accepted for publication in final form 19th January 2005.

Address correspondence and reprint request to: Prof. Mansour Al-Nozha, President, Taibah University, PO Box 344, Madina, Kingdom of Saudi Arabia. Tel. +966 (4) 8472083. Fax. +966 (4) 8454771. E-mail: [email protected]

ABSTRACT

the western world, where growing numbers of people recognize that being overweight or obese is associated with major health problems such as diabetes mellitus (DM), coronary artery disease (CAD) and stroke. At the same time, most overweight or obese people do not know which foods best meet their nutritional and weight loss

Mansour M. Al-Nozha, FRCP (Lond) FACC, Yaqoub Y. Al-Mazrou, MBBS, PhD, Mohammed A. Al-Maatouq, MD, FRCP(C), Mohammed R. Arafah, MD, FACP(C),

Mohamed Z. Khalil, MD, MRCP(UK), Nazeer B. Khan, B Sc, PhD, Khalid Al-Marzouki, MD, FACHARTZ, Moheeb A. Abdullah, FRCP, Akram H. Al-Khadra, MD, FRCP(C), Saad S. Al-Harthi, FACHARTZ,

Maie S. Al-Shahid, FRCP, Abdulellah Al-Mobeireek, MD, FRCP(C), Mohmmed S. Nouh, MD.

824

Objectives: Obesity and overweight are well known risk factors for coronary artery disease (CAD), and are expected to be increasing in the Kingdom of Saudi Arabia (KSA) particularly among females. Therefore, we designed this study with the objective to determine the prevalence of obesity and overweight among Saudis of both gender, between the ages of 30-70 years in rural as well as in urban communities. This work is part of a major national project called Coronary Artery Disease in Saudis Study (CADISS) that is designed to look at CAD and its risk factors in Saudi population.

Methods: This study is a community-based national epidemiological health survey, conducted by examining Saudi subjects in the age group of 30-70 years of selected households over a 5-year period between 1995 and 2000 in KSA. Data were obtained from body mass index (BMI) and were analyzed to classify individuals with overweight (BMI = 25-29.9 kg/m2), obesity (BMI ≥30 kg/m2) and severe (gross) obesity (BMI ≥40 kg/m2) to provide the prevalence of overweight and obesity in KSA.

Results: Data were obtained by examining 17,232 Saudi subjects from selected households who participated in the study. The prevalence of overweight was 36.9%. Overweight is significantly more prevalent in males (42.4%) compared to 31.8% of females (p<0.0001). The age-adjusted prevalence of obesity was 35.5% in KSA with an overall prevalence of 35.6% [95% CI: 34.9-36.3], while severe (gross) obesity was 3.2%. Females are significantly more obese with a prevalence of 44% than males 26.4% (p<0.0001).

Conclusions: Obesity and overweight are increasing in KSA with an overall obesity prevalence of 35.5%. Reduction in overweight and obesity are of considerable importance to public health. Therefore, we recommend a national obesity prevention program at community level to be implemented sooner to promote leaner and consequently healthier community.

Saudi Med J 2005; Vol. 26 (5): 824-829

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obesity. The subjects were selected using a 2-stage stratified cluster sampling procedure, urban and rural being the strata. For practical and logistic reasons, the study population was drawn from the local primary health care centers’ catchment’s areas. The catchment’s population of each primary care center was taken as a cluster. The KSA is subdivided into 14 administrative regions and samples were selected from each region. The first stage-sampling units were 1,623 primary health centers (PHCs) uniformly distributed in the Kingdom. Since the establishment of PHCs was dictated by the population in each region, the allocation of the required number of PHCs were made proportional to be the number of PHCs in each region. Then, each region was stratified into urban and rural communities and a simple random sample of PHCs was selected. The number of PHCs to be selected from each community was based on the total number of PHCs in each rural and urban community. A total of 66 PHCs were selected from urban and 58 from rural areas. The selected PHCs were taken as catchments areas, then block were randomly selected from the catchments areas of each selected PHCs and used as cluster. One hundred households from urban PHCs and 50 households from rural PHCs were selected from these blocks.

All subjects of age group of 30-70 years of selected households were interviewed at their house and examined at PHCs. The questionnaire was developed, pre-tested, and validated in a pilot study. The questionnaire included basic demographic and socio-economic data. A clinical examination was conducted, included height, weight, blood pressure, followed by obtaining urine and blood samples as well as performing an electrocardiogram (ECG). Well-trained primary care physicians conducted a clinical examination including measurement of blood pressure. Weight was measured with ordinary scales (non-electronic portable balance) with indoor clothing on without shoes on to the nearest 0.1 kg. Height measurement was carried out in the standing position, without footwear, to the nearest mm by using measuring tape that is part of the weighing scale. Weight and height were measured using standardized techniques and equipment (to be precise, healthcare workers were trained, for the purpose of this study, to use the same technique of weight and height measurements for all subjects of the study population, using the same type of equipments such as blood pressure apparatus, weighing scale and ECG machine).

Body mass index (BMI) was calculated as weight in kilograms divided by the square of height in meters. The following definitions are based on the recommendations of the United States of America National Heart, Lung, and Blood Institute as well as the World Health Organization.11,12 For adults,

needs. A person’s weight is determined by the net result of the balance between energy intake and energy expenditure. Obesity is a risk factor for CAD, hypertension and DM; however, not everyone with these conditions is obese, and not all obese people have these conditions. Nonetheless, the Office of the US Surgeon General reports that overweight or obesity may cause as much disease and death as cigarette smoking.1 Morbidity and mortality as a result of obesity has been demonstrated by several studies to affect men and women in different societies.2-9 Fortunately, the health hazards related to obesity and overweight are reversible upon reducing weight back to normal.10-12 Over the past 2 decades, the prevalence of obesity has increased markedly worldwide, and as more people are adopting sedentary life, the prevalence is likely to continue to increase. In the United States, data from national population surveys obtained since 1960 until 1994 have demonstrated that the prevalence of obesity has more than doubled from 12.8-27%, and nearly 61% of adults are overweight or obese.13 Similar results have been noted in the United Kingdom as the percentage of prevalence of obesity increased between 1986 and 1993 from 6-13% in men and from 8-16% in women.14 These data and those from other countries are indicative of a major global epidemic. Previous studies from Kingdom of Saudi Arabia (KSA), conducted from 1990 to 1993, have shown an overall prevalence of obesity of 22.1% and approximately 53% of Saudi adults are either overweight or obese.15 Therefore, it is of national public health interest to know the magnitude of the obesity epidemic in the Saudi community. In this article, we report the results of overweight and obesity prevalence in adults in KSA as observed from the data obtained from the Coronary Artery Disease in Saudis Study (CADISS).

Methods. Kingdom of Saudi Arabia, encompasses with four-fifth of the Arabian Peninsula, has inhabitants of 20.8 million people with 15.6 million of local population (Saudis).23 A 5-year National Epidemiological Health Survey to study CAD and its risk factors was conducted between 1995 and 2000. Male and female Saudi subjects aged 30-70 years, in rural and urban areas of the Kingdom formed the target population for this study. For the purpose of the study, a Saudi is identified as a person holding (or a dependent of a holder) of a Saudi Nationality Identification Card. Most previous studies on overweight and obesity from other parts of the world focused on similar population that allows for inter-countries comparison.

A sample size of 20,000 participants was the target of the study to ensure a high reliability of our estimates of the prevalence of overweight and

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Discussion. The data obtained from this survey reports an overall obesity prevalence of 35.6%. The prevalence of overweight is 36.9%, that makes 72.5% of Saudis are either overweight or obese. Considering the health hazards associated with overweight and obesity, our society is facing real health problems that may be avoided if we just maintain normal body weight. Moreover, our data revealed that females are likely to be more obese than males with a prevalence of 44% and 26.4%, and this was statistically significant. The figures reported from earlier studies in KSA on obesity were significantly lower than the current figures. One study conducted from 1990 to 1993 with a sample size of 10,651 subjects (age >20 years), reported an overall prevalence of obesity of 22.1%, with females obesity prevalence of 26.6% compared to the obesity prevalence in males of 17.8%.15 Clearly, females are substantially more obese than males as consistent finding is also shown by our study. This may be attributed to many factors, mostly related to females in KSA are less physically active in comparison to males. Earlier data from KSA, conducted between 1989 and 1994 on adult population aged 18 years and older, revealed an overall obesity prevalence of 20.5%.16 Another study conducted in KSA with a population sample of 14000 subjects (age ≥14 years) in the year 2000, established a prevalence of obesity of 20.3% in females, which is significantly higher than males with 13.1%.17 For overweight, our results are showing that males are more likely to be overweight than females with a prevalence of 42.4% compared to 31.8%. However, a large number of females in our study (4.8%) were extremely obese compared to 1.5% of males. It has been shown that obese men and women are generally at higher risk for adverse health events than those who are considered overweight.18

The observed increased prevalence in obesity and overweight as shown from our study reflects a true increase in the incidence of obesity as urbanization is spreading in our society. This is clearly demonstrated in our data as urban Saudis have significantly higher prevalence of obesity compared to Saudis living in rural areas. The difference in overweight prevalence between urban and rural Saudis is not significant. However, the effect of urbanization is more evident when comparing the prevalence of extreme obesity as it is doubled at 3.8% for urban versus 1.9% for rural Saudis. It is obvious that sedentary life, unhealthy eating habits such as fast foods, excessive dining as well as lack of physical activities are the hallmark factors when living in an urban area in contrast to rural areas, consequently, leading to a true increase in overweight and obesity. The observed lowest rate of obesity prevalence in the Southern region of at a rate of 29.9% is likely to be attributed to more

overweight was defined as a BMI of 25-29.9 kg/m2, obesity as a BMI of 30 kg/m2 or higher, and severe (gross) obesity as a BMI of 40 kg/m2 or higher.

The data were analyzed using the Statistical Package for Social Sciences (Version 10.0) on PC. The estimated overweight and obesity prevalence rate was calculated for the total sample, and sub-groups of gender, area of residence and age groups.

Results. Data were obtained from 17,232 Saudi subjects from selected households who participated in the study over a 5-year period between 1995 and 2000. Overweight has an overall prevalent of 36.9% in Saudis [95% confidence interval (CI) = 36.2-37.6], and the age adjusted prevalence of overweight is 36.6%. Males are significantly more overweight compared to females with an overweight prevalence of 42.4% and 31.8% (p<0.0001) (Table 1). Six thousands one hundred and thirty-five subjects were found to be obese (BMI ≥30 kg/m 2); thus, the overall prevalence of obesity in KSA as obtained from this study is 35.6% [95% (CI) 34.9-36.3], while age adjusted prevalence of obesity is 35.5% (Table 1). Obesity is observed to be substantially higher among females with a prevalence of 44% [95% CI 43.0-45.0], compared to males with obesity prevalence of 26.4% and this difference was statically significant (p<0.0001) (Table 1).

Table 2 shows that nearly one fourth (24.2%) of Saudi females are of normal or underweight, while 31.1% of Saudi males are having normal or underweight based on BMI <25 kg/m2. Moreover, the prevalence of overweight is proportionally increasing with age, whereas the obesity prevalence reaches a peak of 41.4% at age group 40-49 years and starts to decline, as Saudis get older. Males at the age group 40-49 years have the highest prevalence for overweight (44%) and obesity (30.3%) compared to other age groups of males (p<0.0001) (Table 2). While females showed peak prevalence of overweight (34%) at age group 60-70 years and peak prevalence of obesity (50.2%) at age group 40-49 years (p<0.0001). Urban Saudis are more likely to have statistically significant obesity compared to Saudis living in rural areas with an obesity prevalence of 39.7% and 27% (p<0.0001) (Table 2) . However, there was no difference in the prevalence of overweight observed between Saudis living in urban or rural areas (36.9% for both). The prevalence of obesity is highest among Saudis living in the Eastern region of KSA (42.2%), while the lowest rate was observed in the Southern region (29.9%) and this was statistically significant (p<0.0001) (Table 2).

Table 3 shows the comparison of obesity prevalence reported from several studies conducted in KSA and some of the Arabian Gulf countries.

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Table 1 - Prevalence of overweight and obesity categorized by gender.

Factors

Overweight (BMI=25.1- 29.9 kg/m2) Crude prevalence 95% CI Adjusted by age groups*

Obese (BMI 30 kg/m2) Crude Prevalence 95% CI Adjusted by age group*

Mean body mass index (BMI)

Male %

42.4 (41.3 - 43.5)

42.3

26.4 (25.5 - 27.3)

26.3

27.49 ± 5.01

Female %

31.8 (30.8 - 32.8)

31.8

44.0 (43.0 - 45.0)

43.6

29.64 ± 6.23

Total %

36.9 (36.2 - 37.6)

36.6

35.6 (34.9 - 36.3)

35.5

28.61 ± 5.78

p-value

<0.0001

<0.0001

<0.0001

*The population of respective age groups of census report of year 2000 was used for age adjustment. CI - confidence interval

Factors

Gender/age (years) Male

30-39 40 – 49 50 – 59 60 – 70 Total

Female 30 – 39 40 – 49 50 – 59 60 – 70 Total

Residence Urban Rural

Region Central Northern Southern Western Eastern

Total

N

2136 2170 1962 1947 8215

3775 2717 1522 994 9008

11723 5500

3995 1536 3590 5462 2640

17223

Not overweight nor obese <25 kg/m2

33.2 25.7 29.7 36.3 31.1

28.1 18.7 22.3 27.0 24.2

23.4 36.1

23.6 26.2 31.8 30.6 21.9

27.5

Overweight 25.1 – 29.9 kg/m2

41.6 44.0 42.5 41.6 42.4

31.7 31.1 31.8 34.0 31.8

36.9 36.9

36.4 36.8 38.3 36.7 35.9

36.9

Obese 30 kg/m2

25.2 30.3 27.8 22.1 26.4

40.2 50.2 45.9 39.0 44.0

39.7 27. 0

40.0 37.0 29.9 32.7 42.2

35.6

p-value

<0.0001

<0.0001

<0.0001

<0.0001

Table 2 - Prevalence of normal weight, overweight and obesity for demographic factors of gender, age, residence and regions.

Authors

Osman and Al-Nozha16 El-Hamzi and Warsy17 Musaiger and Al-Mannai24 Carter et al22 Sorkhou et al23 Al-Nozha et al*

Country

Saudi Arabia Saudi Arabia

Bahrain United Arab Emirates

Kuwait Saudi Arabia

Prevalence of obesity %

20.5 20.3 34.9

35 46

35.6

Sample size

6,253 14,000

514 535† 250 17,232

Age group (years)

≥18 ≥14

30-79 ≥18 ≥40

30-70

Year published

2000 2000 2001 2004 2004 2004

Table 3 - Obesity prevalence in Arabian Gulf countries

*present study, †all female

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healthier eating habits starting at younger age groups to prevent an inevitable obesity epidemic.

References

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2. Sjostrom LV. Mortality of severely obese subjects. Am J Clin Nutr 1992; 55: 516S.

3. Sjostrom LV. Morbidity of severely obese subjects. Am J Clin Nutr 1992; 55: 508S-515S.

4. Allison DB, Fontaine KR, Manson JE, Stevens J, VanItallie TB. Annual deaths attributable to obesity in the United States. JAMA 1999; 282: 1530-1538.

5. Stevens J, Cai J, Pamuk ER, Williamson DF, Thun MJ, Wood JL. The effect of age on the association between body-mass index and mortality. N Engl J Med 1998; 338: 1-7.

6. Calle EE, Thun MJ, Petrelli JM, Rodriguez C, Heath CW Jr. Body-mass index and mortality in a prospective cohort of U.S. adults. N Engl J Med 1999; 341: 1097-1105.

7. Jousilahti P, Tuomilehto J, Vartiainen E, Pekkanen J, Puska P. Body weight, cardiovascular risk factors, and coronary mortality. 15 year follow-up of middle-aged men and women in eastern Finland. Circulation 1996; 93: 1372-1379.

8. Manson JE, Willett WC, Stampfer MJ, Colditz GA, Hunter DJ, Hankinson SE, et al. Body weight and mortality among women. N Engl J Med 1995; 333: 677-685.

9. Fontaine KR, Redden DT, Wang C, Westfall AO, Allison DB. Years of life lost due to obesity. JAMA 2003; 289: 187-193.

10. Sjostrom CD, Lissner L, Wedel H, Sjostrom L. Reduction in incidence of diabetes, hypertension and lipid disturbances after intentional weight loss induced by bariatric surgery: the SOS Intervention Study. Obes Res 1999; 7: 477-484.

11. Reisin E, Frohlich ED, Messerli FH, Dreslinski GR, Dunn FG, Jones MM, et al. Cardiovascular changes after weight reduction in obesity hypertension. Ann Intern Med 1983; 98: 315-319.

12. Stevens VJ, Corrigan SA, Obarzanek E, Bernauer E, Cook NR, Hebert P, et al. Weight loss intervention in phase 1 of the Trials of Hypertension Prevention. The TOHP Collaborative Research Group. Arch Intern Med 1993; 153: 849-858.

13. Flegal KM, Carroll MD, Kuczmarski RJ, Johnson CL. Overweight and obesity in the United States: Prevalence and trends, 1960-1994. Int J Obes Relat Metab Disord 1998; 22: 39-47.

14. Prentice AM, Jebb SA. Obesity in Britain: Gluttony or sloth? BMJ 1995; 311: 437.

15. Al-Nuaim AA, Bamgboye EA, al-Rubeaan KA, al-Mazrou Y. Overweight and obesity in Saudi Arabian adult population, role of socio-demographic variables. J Community Health 1997; 3: 211-223.

16. Osman AK, Al-Nozha MM. Risk factors of coronary artery disease in different regions of Saudi Arabia. East Mediterr Health J 2000; 6: 465-474.

17. El Hamzi MA, Warsy AS. Prevalence of overweight and obesity in diabetic and non-diabetic Saudis. East Mediterr Health J 2000; 6: 276-282.

18. Troiano RP, Frongillo EA Jr, Sobal J, Levitsky DA. The analysis of combined information from existing studies. Int J Obes Relat Metab Disord 1996; 20: 63-67.

physical activity as well as healthier eating habits as more individuals are maintaining rural lifestyle in the southern region. Moreover, the increase in obesity and overweight prevalence is likely to be augmented by selecting older population in our study between ages 30-70 years in comparison to the younger age groups selected in the other 2 studies, nonetheless, our selected age range are the most vulnerable to health hazards related to obesity, particularly associated with CAD. The Nutrition Committee of the American Heart Association has identified obesity as an independent risk factor for CAD.19,20 Furthermore, obesity has been classified as a category II risk factor, that is, a risk factor for which intervention may lower the incidence of CAD events.21 The observed increase in obesity prevalence is noted by other investigators to affect other populations as well. The reported figures from nearby gulf countries showed the prevalence of obesity is 35% in United Arab Emirates, 46% in Kuwait, and 34.9% in Bahrain.22-24 Another study from Kuwait showed that the rate of temporal changes in BMI and obesity were higher than other countries.25

We further looked at the prevalence of obesity according to age groups, our data showed nonlinear relationship as the prevalence of obesity and extreme obesity reached a peak in the age group of 40-49 years; whereas, the prevalence declines in the other groups. However, it was linear relationship with overweight as shown by overweight prevalence of 35.3% at age 30-39 years that persistently increased reaching 39% at age group 60-70 years. Recent study from Spain reported a high rate of obesity among elderly adult Spanish population 60 years and older as the prevalence was 31.5% in men compared to 40.8% in women.26 It is obvious from the data presented here that overweight and obesity are current and active problems in the Saudi community. Therefore, we have an obligation, as health care providers, to address and provide practical solution to this problem, such as promoting healthier eating habits as well as weight reduction to maintain BMI <25 kg/m2, particularly previous data have shown evidence that medical complications of obesity are reversible.27-29

In summary, the prevalence of overweight and obesity is increasing in KSA. The current data demonstrate that approximately three fourth of females and nearly two third of males in KSA are either overweight or obese. Therefore, the large portion of the Saudi community falls either in the overweight or the obesity range that are well known risk factors to variety of medical disorders. Adopting modern lifestyle with less physical activity and unhealthy eating habits are the most likely causes of increasing the prevalence of obesity. We therefore, recommend aggressive campaign against obesity that promotes exercise and

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24. Musaiger AO, Al-Mannai MA. Weight, height, body mass index and prevalence of obesity among the adult population in Bahrain. Ann Hum Biol 2001; 3: 346-350.

25. Al-Isa AN. Are Kuwaitis getting fatter? Nutr Health 2003; 17: 185-197.

26. Gutierrez-Fisac JL, Lopez E, Banegas JR, Graciani A, Rodriguez-Artalejo F. Prevalence of overweight and obesity in elderly people in Spain. Obes Res 2004; 12: 710-715.

27. The Diabetes Prevention Program (DPP): description of lifestyle intervention. Diabetes Care 2002; 25: 2165-2171.

28. Knowler WC, Barrett-Connor E, Fowler SE, Hamman RF, Lachin JM, Walker EA, et al. Reduction in the incidence of type 2 diabetes with lifestyle intervention or metformin. N Engl J Med 2002; 346: 393-403.

29. Tuomilehto J, Lindstrom J, Eriksson JG, Valle TT, Hamalainen H, Ilanne-Parikka P, et al. Prevention of type 2 diabetes mellitus by changes in lifestyle among subjects with impaired glucose tolerance. N Engl J Med 2001; 344: 1343-1350.

19. Eckel RH. Obesity and heart disease: a statement for healthcare professionals from the Nutrition Committee, American Heart Association. Circulation 1997; 96: 3248-3250.

20. Krauss RM, Winston M, Fletcher BJ, Grundy SM. Obesity: impact on cardiovascular disease. Circulation 1998; 98: 1472-1476.

21. 27th Bethesda Conference. Matching the Intensity of Risk Factor Management with the Hazard for Coronary Disease Events. J Am Coll Cardiol 1996; 27: 957.

22. Carter AO, Saadi HF, Reed RL, Dunn EV. Assessment of obesity, lifestyle, and reproductive health needs of female citizens of Al Ain, United Arab Emirates. J Health Popul Nutr 2004; 1: 75-83.

23. Sorkhou EI, Al-Qallaf B, Al-Namash HA, Ben-Nakhi A, Al-Batish MM, Habiba SA. Prevalence of metabolic syndrome among hypertensive patients attending a primary care clinic in Kuwait. Med Princ Pract 2004; 13: 39-42.