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.
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
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 |