EVALUATION OF METABOLIC SYNDROME IN HEALTHY YEMENI POPULATIONS

Gamil Alrubaiee1, Ali Alyahawi2*

1Depatment of Applied Medical Sciences, Al-Razi University,Yemen.

2Depatment of Pharmacy, Al-Razi University, Yemen.

ABSTRACT

The metabolic syndrome is characterized by several cardiovascular risk factors and is associated with an increased incidence of diabetes, cardiovascular events and mortality. The prevalence of metabolic syndrome is increasing in epidemic proportions worldwide. The present study aimed to investigate the prevalence of metabolic syndrome and its components in healthy populations in Sana'a, Yemen. This study was a cross-sectional study conducted from February 2019 to April 2019. A total of 120 healthy populations (40 years≤ old) were selected. The study protocol was approved by the institutional ethical committee and informed consent was obtained from all the enrolled study patients for their inclusion in the screening and participation in the research. In the present study, the diagnosis of metabolic syndrome based on the American Heart Association/National Heart, Lung, and Blood Institute (AHA/NHLBI) and to a joint statement from several large organizations. In the current study, the presence of more than or equal to any three of the above mentioned factors is required for the diagnosis of metabolic syndrome.

The total prevalence of metabolic syndrome among the study subjects was 40.0% (P<0.001) and 62.5% of them were within 40-49 years old. In the present study, there was not statically significant difference between the khat chewing and the metabolic syndrome. According the distribution of metabolic syndrome criteria among subjects with metabolic syndrome, the prevalence of fasting blood glucose (FBG) was the highest (85%). The prevalence of metabolic syndrome among healthy Yemeni populations was very high and it is associated with increased morbidity and mortality.  This emphasizes the need for more attention to investigate this condition to decreasing the prevalence of cardiovascular morbidity and mortality in these subjects.

Keywords: Criteria, metabolic syndrome, prevalence, Yemen.

INTRODUCTION

Metabolic syndrome was first identified during the late 1980s and was characterized by the clustering of abdominal obesity, elevated blood pressure, hyperglycemia, and dyslipidemia1. Subjects with metabolic syndrome are at increased risk for coronary artery disease (CAD), and the present of metabolic syndrome can increase the risk of all new-onset cardiovascular disease (CVD) by 25 %2. In addition, metabolic syndrome is associated with an increased risk of death from coronary heart diseases, cardiovascular diseases, and all other causes3.

Metabolic syndrome increases the risk of type 2 diabetes mellitus and cardiovascular disease (CVD) by a 5-fold and 2-fold, respectively during the next 5 to 10 years4. Recently, the prevalence of metabolic syndrome has been reported to be between 10% and 84% globally according to the age, sex, and races of the population5. About twenty-five percent of adults in the U.S. have the metabolic syndrome6. The prevalence of metabolic syndrome in the Middle East and North African (MENA) region is known for its high, where it has been reported to be 45.5% and 24.3% in Tunisia, using the International Diabetes Federation (IDF) criteria and Adult Treatment Panel (ATP III) definition, respectively7. The prevalence of metabolic syndrome in Gulf countries, as part of the Middle East, has shown ranges from 17% in Oman8 to 40.5% in the United Arab Emirates (UAE)9, according to the ATP III and IDF criteria, respectively.

According to Al-Rubeaan et al., the prevalence of metabolic syndrome in Saudi Arabia was 39.8% and 31.6% in 2018, depending on the ATP III and IDF criteria10. The metabolic syndrome is recognized as a significant public-health problem. Due to changes in the social environment, the numbers of people with metabolic syndrome have been increased during the past years. Therefore, the main aim of the current study was to estimate the prevalence of metabolic syndrome and its risk factors among the adult Yemeni population in comparison to other countries.

METHODS

This study was a cross-sectional study conducted from February 2019 to May 2019. A total of 120 of healthy populations (40 years≤ old) were selected. Full ethical clearance was obtained from the qualified authorities who approved the study design and the informed consent was obtained from all the study subjects for their inclusion in the screening and participation in the research.

To institute the metabolic syndrome into clinical practice, several scientific organizations have attempted to introduce definition of the syndrome. In the present study, the diagnosis of metabolic syndrome based on the American Heart Association/National Heart, Lung, and Blood Institute (AHA/NHLBI) and to a joint statement from several large organizations11. The patients must meet at least three of the following criteria for diagnosis of metabolic syndrome:

In the current study, the presence of more than or equal to any three of the above mentioned factors is required for the diagnosis of metabolic syndrome. Populations with established chronic diseases were excluded to homogenize the study subjects.

All the study subjects were personally interviewed by the trained interviewers. The following variables were evaluated: age, sex, waist circumference, HDL cholesterol, triglycerides, fasting glucose, and blood pressure. Statistical analysis was done by SPSS software version 21.0 by using Pearson’s Chi-square test. Categorical variables were expressed as percentages. P-value of less than 0.05 was considered significant.

RESULTS

The overall prevalence of metabolic syndrome was 40% (P-value < 0.001), and was significantly higher in women than in men (52.9%  vs 30.4%, respectively; P-value=0.01). Out of 69 males, 21 (30.4%) had Metabolic Syndrome and 27 (52.9%) of females had metabolic syndrome (Table 2). There was significantly relationship between the prevalence of waist circumference and metabolic syndrome (P-value<0.001). 26 of patients with increased waist circumference had metabolic syndrome, in comparison, 22 of patients with metabolic syndrome did not have increased waist circumference. Table 3 showed the distribution of metabolic syndrome by Triglyceride. Results in this table indicated that the relationship between metabolic syndrome and prevalence of triglyceride was high significant (P-value< 0.001). In addition, out of 48 subjects with metabolic syndrome, 31 of them had high triglyceride. The relationship between metabolic syndrome and HDL cholesterol level was statistically significant (P-value<0.001). According to the study findings, 37(77.1%) of subjects with metabolic syndrome had low HDL (<40 mg/dL in male or <50 in female). However, 11 of subjects with metabolic syndrome had normal HDL cholesterol level. The association between metabolic syndrome and blood pressure was analyzed in the Table 7. Results in this table showed high significantly relationship (P-value<0.001). Based on the study results, 25 (52.1%) of subjects with metabolic syndrome had high blood pressure. In the current study, the relationship between metabolic syndrome and fasting blood glucose (FBG) was statistically significant (P-value< 0.001). In addition, 41 (85.4%) of subjects with metabolic syndrome had high FBG.  In this study, the relationship between metabolic syndrome and age group was not statistically significant (P-value=0.113). Similarly, there was not any relationship between metabolic syndrome and Khat chewing or smoking (P-value=0.124; 0.420, respectively). The study results reported a high prevalence of metabolic syndrome criteria among subjects with metabolic syndrome. The most frequently observed component of metabolic syndrome was found to be Fasting Blood Glucose (FBG), followed by HDL-C (Table 5). According to the study findings, HDL-C had significant relationship between men and women (P-value<0.001). However, there was not statistically significant between men and women in other metabolic syndrome criteria (Table 6). There were not statistically significant between the khat chewing and metabolic criteria. In addition, there were not statistically significant between the metabolic syndrome and khat chewing.

DISCUSSION

Metabolic syndrome is a serious health problem and its prevalence increasing globally. To our knowledge, this is the first Yemeni study that focuses on the estimation of the prevalence of metabolic syndrome in the general population by using the American Heart Association/National Heart, Lung, and Blood Institute (AHA/NHLBI) and to a joint statement from several large organizations. According to the study results, the prevalence of metabolic syndrome was seen in 40 % of the study subjects. This result is consis­tent with results from other studies, where the prevalence of metabolic syndrome was 38.5% among Americans12 and of 33.5% in the population of India13. However; it is high compared to prevalence in the South African population14 (25.5%) and lower than that of the population of Nepal (61.7%)15. These differences in the prevalence can be explained by the interaction of genetic and environmental factors, which have long been known to play a key role in the pathophysiology of metabolic syndrome16. Furthermore, the study of the metabolic syndrome prevalence according to sex showed a significantly higher prevalence in females (52.9%) %) compared to males (30.4%). This result is similar to many studies17,18. However, it was in consistent with others where the prevalence is similar between both sexes19. Factors such as weight gain after pregnancy, diabetes mellitus during pregnancy, polycystic ovary syndrome, preeclampsia, use of hormonal contraceptives, and menopause may increase the risk of metabolic syndrome in women20. In addition, we observed a variation in the prevalence of metabolic syndrome according to age with a maximum at the fourth decade among the study sample (62.5%).This may be related to the most study subjects within this age group (64.2%). A decline was observed in the prevalence of metabolic syndrome in patients aged over 60 years. This may be related to the increase of the mortal­ity in people with metabolic syndrome of >=60 years old. Moreover, the association between premature mortality and the presence of metabolic syndrome has been described in many studies17, 21. Also the lack of consensus on metabolic syndromes definitions and the cutoff points used for its components, especially regarding waist circumference, has resulted in these differences. The comparisons between Yemen and other countries must be made with caution. Because in Yemen and most of other studies were conducted in a small area or a city, they cannot be representative of the whole country. Therefore, generalizing the study results to all population is a point of concern22. Also the differences between people might to genetic variations that could effect on metabolic syndrome criteria23.

In terms of individual criteria, the major factors contributing to metabolic syndrome were fasting blood glucose (85%), followed by HDL-C and triglyceride (77.1% and 67.6%; respectively). These findings could be associated with the high prevalence of insulin resistance and the propensity for elevated triglyceride levels in patients with metabolic syndrome. Furthermore, about 34.2% of participants in the sample survey were unaware of pre-existing diabetes of. After evaluation, 85% in this group were eventually diagnosed with metabolic syndrome. In a study conducted by Delavari et al.24, greater waist circumference values and lower HDL cholesterol have also been reported in Iranian communities than in Western populations, which support the idea of an ethnic predisposition of the Iranian community to metabolic syndrome.

In the current study, there were not statistically significant between the khat chewing and metabolic criteria or the prevalence of metabolic syndrome. This might due to other classical cardiovascular risk factors, such as smoking, dietary salt intake, physical inactivity, and other habits along with Khat may modify the extent of association between Khat chewing and metabolic criteria. In contrast to previous studies, Khat chewing had a significant effect on carbohydrate metabolism by a reduced insulin secretion, insulin resistance25,26 and cathinone-induced catecholamines secretion; which would raise blood glucose levels27.

A study conducted to investigate the effect of khat chewing on the blood glucose level of normal chewers in comparison to the effects of two antidiabetic drugs in diabetic patients showed that the percentage of sugar decrease in khat chewers without diabetes was significantly higher than the effect of the two antidiabetic drugs28. Recently, a study done by Murray et al. reported that khat chewing significantly decreased the sensation of hunger and increase the feelings of fullness29. Moreover, it was found one of khat uses is in the control of obesity, which indirectly would decrease the risk of diabetes. High plasma levels leptin, have been found 4 hours after a heavy khat chewing session (400g). This hormone may attribute to the decreased of appetite and body weight that observed in khat chewers30.

CONCLUSION

In conclusion, this study places Yemen as one of the countries with the highest prevalence of metabolic syndrome. The risk factors for metabolic syndrome in Yemeni populations were similar to those reported internationally. In addition, women were at a greater risk of having metabolic syndrome. The major causes of metabolic syndrome are unhealthy lifestyles and eating habits. This emphasizes the need for more attention to evaluate this condition to decreasing the prevalence of cardiovascular morbidity and mortality in these subjects. Furthermore, in order to prevent metabolic syndrome, policy makers should consider the promotion of a healthy diet and physical activity in the future strategies of health care of Yemeni population.

AUTHORS’ CONTRIBUTION

The manuscript was carried out, written, and approved in collaboration with all authors.

COMPETING INTERESTS

The authors declare that they have no competing interests.

REFERENCES

  1. Reaven GM. Role of insulin resistance in human disease. Diabetes. 1988; 37: 1595–607.
  2. Grundy SM, Brewer HB Jr, Cleeman JI, Smith SC Jr, Lenfant C. National Heart, Lung, and Blood Institute; American Heart Association. Definition of metabolic syndrome: report of the National Heart, Lung, and Blood Institute/American Heart Association conference on scientific issues related to definition. ArteriosclerThromb Vasc Biol 2004; 24:e13–8.
  3. Malik S, Wong ND, Franklin SS, Kamath TV, L'Italien GJ, Pio JR, et al. Impact of the metabolic syndrome on mortality from coronary heart disease, cardiovascular disease, and all causes in United States adults. Circulation 2004; 110:1245–50.
  4. Alberti KG, Eckel RH, Grundy SM. et al. Harmonizing the metabolic syndrome: a joint interim statement of the international diabetes federation task force 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(16):1640–1645.
  5. Kaur J. A comprehensive review on metabolic syndrome. Cardiol Res Pract. 2014; https://doi.org/10.1155/2014 /943162.
  6. Ford ES, Giles WH, Dietz WH: Prevalence of the metabolic syndrome among U.S. adults: findings from the third National Health and Nutrition Examination Sur vey. J America Med Asoc 2002; 287:356–359.
  7. 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.
  8. Al-Lawati JA, Mohammed AJ, Al-Hinai HQ, Jousilahti P. Prevalence of the metabolic syndrome among Omani adults. Diabetes Care 2003; 26:1781–5.
  9. Malik M, Razig SA. The prevalence of the metabolic syndrome among the multiethnic population of the United Arab Emirates: a report of a national survey. Metab Syndr Relat Disord 2008; 6:177–86.
  10. Al-Rubeaan et al. Prevalence of metabolic syndrome in Saudi Arabia-a cross sectional study. BMC Endocrine Disor 2018; 18:16
  11. Alberti KG, Eckel RH, Grundy SM, et al. Harmonizing themetabolic syndrome: a joint interim statement of the International Diabetes Federation Task Force on Epidemiology andPrevention; National Heart, Lung, and Blood Institute; AmericanHeart Association; World Heart Federation; International Atherosclerosis Society; and International Association for the Study of Obesity. Circulation 2009; 120(16):1640–1645.
  12. Ford ES, Li C, Zhao G. Prevalence and correlates of metabolic syndrome based on a harmonious definition among adults in the US. J Diabetes 2010; 2:180–193.
  13. Prasad DS, Kabir Z, Dash AK, Das BC. Prevalence and risk factors for metabolic syndrome in Asian Indians: A community study from urban Eastern India. J Cardiovasc Dis Res 2012; 3:204–211.
  14. Motala AA, Esterhuizen T, Pirie FJ, Omar MA. Prevalence of metabolic syndrome and determination of the optimal waist circumference cutoff points in a rural South african community. Diabetes Care 2011; 34: 1032–1037.
  15. Maharjan BR, Bhandary S, Shrestha I, Sunuwar L, Shrestha S. Prevalence of metabolic syndrome in local population of Patan. Med J Shre Birendra Hosp 2012; 11:27–31.
  16. El Brini et al. Prevalence of metabolic syndrome and its components based on a harmonious definition among adults in Morocco. Diabetes Metabolic Syndrome Obesity: Targ Therap 2014;7: 341–346.
  17. Jesmin S, Islam MR, Islam AM, et al. Comprehensive assessment of metabolic syndrome among Rural Bangladeshi Women. BMC Public Health 2012; 12:49;
  18. El Brini, et al. Prevalence of metabolic syndrome and its components based on a harmonious definition among adults in Morocco. Diabetes, Meta Synd Ob: Targ Therap 2014;7 341-346.
  19. Santos AC, Severo M, Barros H. Incidence and risk factors for the metabolic syndrome in an urban South European population. Prev Med 2010; 50:99–105.
  20. Bentley-Lewis R, Koruda K, Seely EW. The metabolic syndrome in women. Nat Clin Pract Endocrinol Metab 2007; 3(10):696-704.
  21. Isomaa B, Almgren P, Tuomi T, et al. Cardiovascular morbidity and mortality associated with the metabolic syndrome. Diabetes Care 2001; 24:683–689.
  22. Park YW, Zhu S, Palaniappan L, Heshka S, Carnethon MR, Heymsfield SB. The metabolic syndrome: prevalence and associated risk factor findings in the US population from the Third National Health and Nutrition Examination Survey, 1988-1994. Arch Intern Med 2003; 163(4): 36-42.
  23. Lear SA, James PT, Ko GT, et al. Appropriateness of waist circumference and waist-to-hip ratio cutoffs for different ethnic groups. Eur J Clin Nutr 2010; 64:42–61.
  24. 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(6): 1092 -7.
  25. Shojima N, Sakoda H, Ogihara T, Fujishiro M, Katagiri H et al.. Humoral regulation of resistin expression in 3T3-L1 and mouse adipose cells. Diabetes 2002; 51: 1737-1744.
  26. Misra M, Bredella MA, Tsai P, Mendes N, Miller KK et al. Lower growth hormone and higher cortisol are associated with greater visceral adiposity, intramyocellular lipids and insulin resistance in overweight girls. Am J Physiol Endocrinol Metab 2008; 295: E385-E392.
  27. Al-Motarreb A, Al-Habori M, Broadley KJ. Khat chewing, cardiovascular diseases and other internal medical problems: The current situation and directions for future research. J Ethnopharmacol 2010; 132: 540-548.
  28. Taleb M, Bechyn M. Effect of cathaedulis leaves on plasma glucose. Agricultura Tropicaet Subtropicavol 2009; 42 (1):6.
  29. Murray CD, Le Roux, et al. The effect of khat (Catha edulis) as an appetite suppressant is independent of ghrelin and PYY secretion. Appetite 2008; 51, 747–750.
  30. Al-Dubai W, Al-Habori M, Al-Geiry. Human khat (Catha edulis) chewers have elevated plasma leptin and non esterified fatty acids. Nutri Res 2006; 26, 632–636.

 

 

Table 1: Prevalence of metabolic syndrome among the study populations

Variable

Level of variable

N

%

P-value

 

Metabolic Syndrome

Yes

48

40.0

 

0.001

No

72

60.0

Total

120

100.0

 

Table 2: The prevalence of metabolic syndrome among gender

Variable

 

Metabolic Syndrome

Total

P-value

Yes

No

Gender

 

Male

21 (30.4%)

48

69

0.013

Female

27 (52.9%)

24

51

Total

48

72

120

Waist circumference (WC)

No

22

60

82

0.001

Yes

26

12

38

Total

48

72

168

 

Table 3: The prevalence of different variables among subjects with metabolic syndrome

P-value

Total

Metabolic Syndrome

 

Variable

Yes

No

 

0.001

69

17

52

No

Triglyceride

51

31

20

Yes

120

48

72

Total

 

0.001

69

32

37

Yes

HDL- Cholesterol

51

40

11

No

120

72

48

Total

 

0.001

81

23

58

No

Blood Pressure (BP)

39

25

14

Yes

120

48

72

Total

 

0.001

46

7

39

No

Fasting Blood Glucose (FBG)

74

41

33

Yes

120

48

72

Total

 

Table 4: The distribution of age group, smoking, and khat chewing among patients with metabolic syndrome

Variable

Metabolic Syndrome

Total

P-value

 

Yes      No

 

 

Age group

40-49

30

47

77

 

 

0.113

50-59

10

21

31

60 or greater

8

4

12

Smoking

Yes

18

22

40

 

0.429

No

30

50

80

Khat chewing

Yes

34

14

48

 

0.124

No

41

31

72

 

Table 5: Distribution of metabolic syndrome criteria among subjects with metabolic syndrome

Variable

Metabolic Syndrome

%

Yes

No

Waist Circumference

No

22

60

 

54.2

Yes

26

12

Triglyceride

No

17

52

 

67.6

Yes

31

20

HDL-C

Yes

37

32

 

77.1

No

11

40

Blood Pressure

No

23

58

 

52.1

Yes

25

14

Fasting Blood Glucose

No

7

39

85

Table 6: Distribution of metabolic syndrome criteria according to gender

Variable

Gender

Male          Female

Total

P-value

TG

<150 mg/dl

41

28

69

 

0.621

150 mg/dL or greater

28

23

51

HDL-C

<40 mg/dl in men or <50 in women

30

39

69

 

0.001

40 mg/dL or greater in men or = 50 or greater in women

39

12

51

Waist circumference

<89 cm in women or <102 cm in men

51

31

82

 

0.13

89 cm in women or greater or 102 cm or greater in men

18

(26.1%)

20

(39.2%)

38

Fasting Blood Glucose

<100 mg/dL

28

18

46

0.56

100 mg/dL or greater

41

33

74

Blood pressure

<130/85 mm

43

38

81

0.16

130/85 mm Hg or greater

26

13

39

 

Table 7: Distribution of metabolic syndrome criteria among subjects with khat chewing

Variable

Khat chewing

 

P-value

Yes

No

 

Waist Circumference

No

51

31

 

0.92

Yes

24

14

 

Triglyceride

No

39

30

 

0.12

Yes

36

15

 

HDL-C

Yes

41

28

 

0.42

No

34

17

 

Blood Pressure

No

46

35

 

0.062

Yes

29

39

Fasting Blood Glucose

Yes

48

26

 

0.50

No

27

19