Metabolic Syndrome among Yemeni Physicians in Sana'a
Transcription
Metabolic Syndrome among Yemeni Physicians in Sana'a
Suez Canal Univ Med J Vol. 11, No, 1 , March, 2008 31 - 34 Metabolic Syndrome among Yemeni Physicians in Sana'a Abdullah A Almikhlajy™, Fathi A Mak!ady(2), Sobhy A Sobhyl3>, Enas 1 Elsheikh1", Ahmed K Alansi<4> Departments of Community Medicine 0,3 ' and Cardiology12-4', Science and Technology University, Yemen1", Suez Canal University, Egypt*2-3' and Sana'a University, Yemen1'" Abstract Objective: To assess the prevalence of metabolic syndrome among Yemeni physicians in Sana'a, Yemen Methodology: Data were collected on 332 Yemeni physicians in Sana'a (224 males and 108 females) aged 25 years and over. Metabolic syndrome was diagnosed according to ATP-ill criteria. Results: The prevalence of metabolic syndrome in the study population was 23.8% (25.4% among males and 20.4% among females). All the components of the metabolic syndrome were significantly more common in males, except low HDL-cholesterol level. Low HDL-C was the most common metabolic abnonnality in both sexes. Conclusion: Metabolic syndrome is prevalent among Yemeni physicians in figures comparable to western populations. Low HDL was the most prevalent component. Keywords: Prevalence, Metabolic Syndrome, Yemeni, Physicians. association with obesity especially its central or visceral component'7'. Introduction Metabolic syndrome is a collection of major and emerging risk factors for atherosclerosis that tend to occur together 0 '. This syndrome has gone by various names, including Reaven's syndrome, the deadly quartet, syndrome X, insulin resistance syndrome, as well as metabolic syndrome'1,2'. It was found that the prevalence of CHD, myocardial infarction and stroke were approximately 3-fold higher in individuals with the metabolic syndrome compared with those without the syndrome'3'. Subjects and Methods This is a descriptive cross-sectional .study on Yemeni physicians in Sana'a capital city, According to the Health Office in Sana'a, they were 1083. Sample size was calculated by using the following formula'*': n=NZ2pq/d2 (N-l) f-Z2pq. The calculated number-"249. To adjust the sample size estimate for non response, 10% was added to the calculated size. Then the tolal sample size = 249 + 25 = 274. The major characteristics of metabolic syndrome include insulin resistance, abdominal obesity, elevated blood pressure, and lipid abnormalities (i.e., elevated levels of triglycerides and low levels of high-density lipoprotein [HDL] cholesterol)'4'. Initially defined by an expert panel of the World Health Organization in 1998'51, the ATP III has created an operational definition of metabolic syndrome: the co-occurrence of any three of the abnormalities mentioned above'2'. Many investigators place a greater priority on insulin resistance than on obesity in pathogenesis of metabolic syndrome'6'. They argue that insulin resistance, or its accomplice, hyperinsulinemia, directly causes other metabolic risk factors. Identifying a unique role for insulin resistance is complicated by the fact that it is linked to obesity. Insulin resistance is the link between the different components of metabolic syndrome. It has strong The subjects were taken from the main hospitals in Sana'a (Allhawra, Aljomhori, and Alsabeen). Response rate was 71.2% among females, and 54.3% among male physicians. Data collection included filling out a questionnaire, measurement ofBP, taking anlhropomelric measurements. In addition, fasting blood samples were taken for measuring lipids profile and glucose. The questionnaire was developed, pre-tested, and validated in a pilot study. It included basic demographic and socio-economic data, family and medical history as well as drug intake. Before measuring theblood pressure, it was confirmed thai the participant had not consumed tea or coffee, engaged in physical activity, or smoked one hour before, and had an empty bladder. Participants were initially told to rest for 5 minutes. Then blood pressure was measured twice in a seated position after one more measurement for determining 11 32 Almikhlafy et al. peak inflation level using a standard mercury sphygmomanometer (Reister, Germany). An appropriate cuff was chosen. There was at least a 30 second interval between the two separate measurements. Thereafter, the mean of two measurements was considered as the participant's blood pressure. The systolic blood pressure was defined as the appearance of the first sound (Korotkoff phase 1), and the diastolic blood pressure was defined as the point before the disappearance of the sound (Korotkoff phase 5) during deflation of the cuff at a 2-3 mm per second decrement rate of mercury column'9*. Waist was defined as the midpoint between the lower rib and the upper margin of the iliac crest. It was measured using a tape. A sample of 10 ml of venous blood was taken from participants after overnight fasting for 8 hours at least. Blood samples were drawn in a sitting position and the participant remained in sitting position at least for 5 minutes prior to blood collection. Blood was drawn from the left arm. Blood samples were taken from the vein in the antecubita! fossa. Tubes were labeled with the subject identification code. The blood samples were allowed to clot at the room temperature. The clotting time was minimally 30 minutes and maximally 45 minutes. After that samples were centrifuged at a temperature 15-24°C. Blood spun for 10 minutes at 1500 g. After centrifugation, the serum promptly separated from clot or cells and transferred to a clean tube. After serum separating lo proper tubes the lubes were carefully marked with slicker with identification code. The Hitachi 912 chemistry autoanalyzer (Roche/Hitachi) was used. The metabolic syndrome was defined according lo Third Report of the Expert Panel on detection, evaluation, and treatment of high blood cholesterol in adults(2). It defined metabolic syndrome as presence of any 3 of the following 5 diagnostic criteria: Waist Circumference >102 cm in men or > 88 in women; blood pressure (BP) >130/85 mm Hg; HDL cholesterol <40 mg/dL in men or <50 mg/dL in women; triglycerides >150 mg/dL; fasting blood glucose >110 mg/dL, or receiving anti-diabetic treatment, or the presence of previously diagnosed diabetes mellitus. Data were analyzed using the SPSS 11.5 (SPSS Inc., Chicago 1L, USA). The prevalence rate was given as percentages. Relations among the categorical parameters were investigated by "Chi-square test". P value < 0.05 was considered significant. Informed consent was taken from those who agreed to participate in the study. The obtained data was confidential. No one exposed to participants personal data except the research group. Results Table (I) shows the prevalence of metabolic syndrome among physicians. As shown in the table, about fifth of males (25.4%) and fourth of females (20.4) had metabolic syndrome. The difference was not significant (X2 = 1.04, p = 0.304). Table (11) shows the prevalence of each components of metabolic syndrome according to ATP III. Of all the components of the metabolic syndrome, low HDL-C was the most common abnormality in both sexes. It was more statistically prevalent among female participants with prevalence rate of 65.7% compared with 50.9% among males (X2 = 6.51,, p = 0.011). Hypertriglyceridemia rank second in contributing to MS among males and females. It was more statistically prevalent among male participants with prevalence rate of 46.9% compared with 28.7% among males (X2=9.95, p=0.01). High blood pressure was found in about third of male physicians (34.4%) and 27.8% of females without significant difference between them. On the other hand, central obesity was found in 18.7% of participants with predominant prevalence among female physicians with prevalence rate of 23.1% among them compared to 16.5% among males. But the difference was not significant. Prevalence of high blood glucose was similar among both sexes with prevalence rate of 19.2 % among male and 16.7% among female physicians Table (I): Prevalence of metabolic syndrome among male and female physicians Male (n = 224) N % Female (n = 108) N % Total N % Present 57 25.4 22 20.4 79 23.8 Absent 167 74.6 86 79.6 253 76.2 X2 P 1.04 0.304 Table (11): Prevalence of each component of the metabolic syndrome among male and female physicians Male (n : = 224) Female (n = 108) Total - X2 N % % N % N 25 23.1 62 18.7 2.109 37 16.5 Abdominal obesity 114 50.9 71 65.7 188 56.6 6.51 Low HDL cholesterol 105 46.9 31 28.7 121 36.4 9.95 Hypertriglyceridemia 77 1.45 32.2 34.4 30 27.8 107 High BP or on medication 43 18.4 0.001 19.2 16.7 18 61 High FBG or on medication *: Significant P 0.15 0.011* 0.01* 0.23 0.97 33 Metabolic Syndrome among Yemeni Physicians Discussion It is well known that the metabolic syndrome and its complications are hazardous due to the combination of its components such as abdominal obesity, high blood pressure, high fasting blood sugar, high serum triglycerides level and low HDL-cholesterol. Nevertheless, the prevalence of metabolic syndrome has never been studied in Yemen population so our comparisons will be with studies in the other countries especially with Arab ones. The Adult Treatment Panel III (ATPIII) criteria of the national Cholesterol Education Program in the USA were used. hypertriglyceridemia, obesity, and smoking. While these factors might play an important role in the low HDL-C level, previous family and twin studies have suggested that genetic polymorphism accounts for 40-60% of the inter-individual variation in plasma HDL-C level'13'. Some of the gene loci suggested for such variations is the hepatic lipasc (LIPC) and cholesteryl ester transfer protein (CETP) loci. Several mutations at CETP locus, especially common in Japanese population, have been identified resulting in the absence of detectable CETP mass and/or activity It has also been shown that over expression of LIPC gene decreases plasma HDL-C concentration"6'. In this study, fifth of male (25.4%) and fourth of female Yemeni physicians had metabolic syndrome. The difference between both groups was not significant. In other Arab countries, metabolic syndrome was more prevalent among females. AlNozha et al.(10) reported prevalence rate of 40.9 among male and 42% among female adults in Saudi Arabia. In Oman, metabolic syndrome was also more prevalent among females than males with prevalence rate of 23% and 19.5% respectively"!). In these studies'101", women were more obese than men. However, in our study there was no significant difference between both groups. It is well known that metabolic syndrome is more prevalent among obese ones. In addition another factor can explain why the metabolic syndrome in our study is relatively more prevalent among male physicians. It is the age; siuce female physicians were younger than males. Physical activity is another factor that can play a role in the variation of distribution of metabolic syndrome among males and females. However, in the previous studies'10"', females were physically inactive more than males, whereas in our study there were no difference between both groups. In this study, low HDL was the most common component of MS in male and female physicians with female predominance (50.9% vs. 65.7%, respectively). Other studies in the region are in agreement with these findings; 81% of women and 78.4% of men had low HDL-C"01, while in Oman, it was 77.2% of women and 74.4% of men"". In another Arab country, Palestine, low HDL was also high1'2'. Conversely, it was more prevalent among males (70%) than females (55.7%). In Iran, it was reported that about three fourths (73%) of Iranian women and 69% of men had low HDL-C l3 >. Similar results were found in Turkey'M). These findings are larger those reported from western countries with the same criteria. For instance, in USA, it was reported among 35.1% of men and 39.1% of women"5'. In the light of these findings it seems that low HDL-C is a dilemma in our region. This could be attributed to urbanization, modification of life style, unhealthy diet, physical inactivity, increased prevalence of The importance of the metabolic syndrome as a predictor of atherosclerotic cardiovascular disease is becoming established'l7). In our study, metabolic syndrome was highly prevalent among those with previous coronary heart disease (66%). In a recent analysis of data from the third National Health and Nutrition Examination Study (NHANES 111), Ninomiyaandhiscolleagues"s,observed a significant 2-fold increase in the multivariatc likelihood oF prevalent myocardial infarction and stroke among individuals with the metabolic syndrome compared with individuals without the metabolic syndrome. When taking in consideration that 47% of male and 38% of female physicians in our study have overweight, it is likely that the prevalence of metabolic syndrome will probably increase in [lie coming years among Yemeni physicians with its complications including CHD. In conclusion, metabolic syndrome is prevalent among Yemeni physicians in figures comparable to western populations. Low HDL was [he mosL prevalent component. Studies should be done to assess the metabolic syndrome among Yemeni population. References 1. Dunbiir R and Szapary P. Metabolic syndrome: A new uirgel of therapy? Am J Mcd Care; 2004, Supplement IV: SlS13. 2. National Institutes of Health (NIH). Third Repori of The National Cholesterol Education Program Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III). National Institutes of Health, Bcthcsda, MD, 2002; Publication No. 02-5215. 3.IsomaaB,AlmgrenP,TuorniTctaLCardiovascularmoibidily and mortality associated with the metabolic syndrome. Diabetes Care; 2001. 24(4):683-9. 4. Dccn D. Metabolic Syndrome: Time for Action. Am Fain Phys; 2004, 69:2875-82,2887-8. 5. Alberti KG and Ziminet PZ. Definition, diagnosis and classification of diabetes mcllitus and its complications. Part I: Diagnosis and classification of diabetes mcllitus, provisional report of a WHO consultation. Diabct Med; 1998, 15:539-53. Almikhlafy et al. 34 6. Reaven G. Metabolic Syndrome: Pathophysiology and Implications for Management of Cardiovascular Disease. Circulation; 2002, 106:286-288. 7. Shanka R and Sundarka M. Metabolic Syndrome: Its Pathogenesis and Management. J Ind Acad Clin Mcd; 2003, 4(4): 275-81. S. Daniel WW. Biostatistics: A foundation for analysis in the health sciences, 6th ed. Singapore, John Wiley and Sons, 1995.pl80 9. Chobanian AV, Bakris GL, Black HR. 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Correspondence to: Dr Abdullah Abdu Almikhlafy, Community Medicine Department, Faculty of Medical Sciences, University of Science and Technology, Sana'a, Yemen P.O Box: 13064, E-mail: [email protected] * l * i u a 5 j j i * j j j j ' a j M pUbVl AJC ( 4 J £ & L U I V I ) ^ O J ^ I ^-aj^ill^) i(r>u^ur\ Ojjjull ifl*jj_aj AtaJ u A i m J.l i H ^ y a l i a JiaaJlAjC ^AJi j j i O ^ i ^ t i - d l OJJC- ^ l i i C J i( r ' T '-Ulic.L»^yi (!_>jj_jijl alia t'^jj^Lill i L l ^ j i j j S j J I j ( ' J ^ ' l l A j u L ^ i( T , t ). M\\ ^jiil^jxl j C ' ' ) . «*^ «U i_jj= sLoil ( J m 1 £-a A i j l JLa t j j S j ( j j l l j >. llill <_ya\_y.\ j j j j j l ^ i i l l ' _'!■ -*^ j l r ^ l l ( J J j C . (j-c Jf-j^ « j^A f^;. | S ^°'- »V^ 4 u>i)Sjl A j j i L L a l l fjj *j|i (National Cholesterol Education Program (NCEP i^Ul ^V^l? JjjiJjS]] ^je JJJI ^-il>_jl! gJ3jJI ■ .>■ *■>>?. :uL U J (JaVI (jlc AJ^J J_ja-jj (AJJVUIUIVI) A J ~ ; N > < * j ! 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