PREVALENCE OF THE METABOLIC SYNDROME IN DIABETIC PATIENTS LIVING IN A COASTAL REGION OF BANGLADESH
HTML Full TextPREVALENCE OF THE METABOLIC SYNDROME IN DIABETIC PATIENTS LIVING IN A COASTAL REGION OF BANGLADESH
Mohammad Salim Hossain*1, 2, Md. Zahedur Rahaman 2, Sujan Banik 2, Md. Shahid Sarwar 2, Kazushige Yokota 1
Department of Life Science and Biotechnology, Shimane University 1, 1060 Nishikawatsu-cho, Matsue, Shimane 690-8504, Japan
Department of Pharmacy, Noakhali Science and Technology University 2, Sonapur, Noakhali-3814, Bangladesh
ABSTRACTMetabolic syndrome (MetS) is a clustering of metabolic abnormalities that has close association with cardiovascular mortality. MetS has becoming a major challenge for public health. To get insight knowledge about the MetS in diabetes, this population-based study was designed. Here we assessed the MetS in diabetes from a coastal region of Bangladesh. MetS was estimated by using the modified definition of the National Cholesterol Education Program Adult Treatment Panel III. A total of 500 patients visiting to a diabetic clinic were included in this study. Anthropometric, clinical and biochemical data were recorded. Our result revealed that, about 47.00% patients with type 2 diabetic mellitus were suffering from metabolic syndrome. Female were more prevalent than male (58.6% vs 36.14%) for suffering from MetS. Among other risk factors for MetS, obesity and hypertriglyceridemia followed by low-HDL were more prevalent in female. In contrast, male were more likely to have low-HDL and hypertriglyceridemia followed by high blood pressure. Since diabetic patients are more porn to suffer from MetS, and it becomes a major risk factor for cardiovascular disease, correct measurement should be taken to identify MetS among different population to reduce the high abnormalities
Keywords:
Metabolic syndrome, Diabetes mellitus, Bangladesh, Prevalence, Coastal, |
Hypertriglyceridemia
INTRODUCTION: Diabetes mellitus (T2DM) is becoming a pandemic worldwide 1, 2 due to the global increase in obesity and sedentary lifestyles 3. T2DM is associated with increased morbidity and mortality. The highest prevalence of this disease is likely to be in developing countries with the highest percentage in the Middle –East, Sub-saharan Africa, South Asia and Latin America 4. A published report 4 estimated 3.2 million diabetic subjects in 2000 and the number is expected to increase to a staggering 11.1 million by 2030 in Bangladesh. The metabolic syndrome (MetS) is a cluster of obesity, hyperglycemia, decreased high-density lipoprotein (HDL), increased triglyceride and high blood pressure 5. The MetS, as a driver of current epidemics of diabetes 6 and cardiovascular diseases 7, has become a major challenge to public health. Even in adults without diabetes, MetS is associated with an increased all-cause and cardiovascular mortality 8, 9, 10. Despite these adverse associations, it is illusive whether the syndrome is a disease entity, by itself, or just a mere constellation of risk factors. A current estimation reveals about 20-30% of the adult population worldwide is affected by the MetS 11.
The detection, prevention and treatment of the MetS components considered as an important factor for the minimizing the risk of cardiovascular disease. Thus identification of the population at risk is an important task.
Though a limited amount of data exist on prevalence of metabolic syndrome in Bangladesh 12, 13, prevalence data from diabetic population is lacking. In this population-based study we aimed at to explore the prevalence of metabolic syndrome among persons of different age groups visiting to a diabetic clinic, and living in a coastal area of Bangladesh,
MATERIALS AND METHODS: In a community-based, cross-sectional and randomized study, a total of 500 diabetic patients of different age groups were screened from Noakhali municipality, a coastal area of Bangladesh. These patients were visited to a diabetes outpatient clinic in Noakhali. Ethical clearance was obtained from the ethical review board of the institution. Informed consent was obtained from all the participants prior to their inclusion into the study.
Detailed information regarding demographic, socioeconomic, behavioral and health status was collected from each study subjects. Anthropometric measurements and blood pressure was obtained using standard procedure. Blood samples were analyzed for fasting glucose, serum total cholesterol, and serum triglyceride using the standard protocol adopted in the diabetes clinic.
Definition and diagnosis of Diabetes Mellitus: The term diabetes mellitus describes a metabolic disorder of multiple aetiology characterized by chronic hyperglycaemia with disturbances of carbohydrate, fat and protein metabolism resulting from defects in insulin secretion, insulin action, or both.
The clinical diagnosis of diabetes is often prompted by symptoms such as increased thirst and urine volume, recurrent infections, unexplained weight loss and, in severe cases, drowsiness and coma; high levels of glycosuria are usually present. In this study, we diagnosed diabetes mellitus as per a recommendation from WHO, considering the value of fasting plasma glucose level to 7.0 mmol/L or above 14.
Definition of the metabolic syndrome: MetS follows the criteria proposed by the Third Report of the National Cholesterol Education Program Expert Panel on the Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (NCEP ATP III)15. The NCEP ATP III criteria comprise 3 or more of the following: (1) fasting plasma glucose level of at least 110 mg/dL (6.1 mmol/L); (2) serum triglyceride level of at least 150 mg/dL (1.7 mmol/l) for men; (3) serum high-density lipoprotein (HDL) cholesterol level lower than 40 mg/dL (1.04 mmol/L) for men and lower than 50 mg/dL (1.29 mmol/L) for women; (4) Blood Pressure of at least 130/85 mm Hg or controlled with antihypertensive treatment; and/or (5) waist circumference of more than 102 cm (Adult Treatment Plan III 2001). The NCEP ATP III definition does not specify that any particular component be present and implies that if a person has several risk factors, even if they are not very severe, their joint contribution can still markedly increase the risk of coronary heart disease.
In this study, the MetS is defined as defined in other studies13 having any 3 of the following: 1) high blood glucose >7.0 mmol/L; 2) hypertriglyceridemia (triglyceride level >2.28 mmol/L); 3) ≥low level of HDL cholesterol (<1.04 mmol/L for men and <1.29 mmol/L for women); 4) BMI ≥25.0 kg/m2and 5) hypertension (systolic BP ≥130 mm Hg or diastolic BP ≥85 mm Hg). We used a cut-off ≥200 mg/dL (≥2.28 mmol/L) to define high triglyceride.
Data analysis: Descriptive analyses included mean and standard deviations (SD) for continuous variables. Prevalence and frequencies are expressed in terms of percentage.
RESULTS:
Prevalence of metabolic syndrome among diabetic patients: Total cohort included 500 patients visiting to a diabetic clinic, out of which 51.2% (n= 256) were male and 48.8 % (n= 244) were female. The mean age of the total study population was 47.12 years (SD 11.9 year; Range 22-70). Table 1 presents the characteristics of the study population. Most of the participants were of secondary educated (Figure 1).
TABLE 1: CHARACTERISTICS OF THE STUDY POPULATION
Variables | Values | |
Cohort | Total participants | n=500 |
Mean age | Total participants | 47.12 ± 11.9 yrs |
Age group (year) | <25 | 1.16% |
25-34 | 2.56% | |
35-44 | 16.93% | |
45-54 | 32.59% | |
55-64 | 35.58% | |
>64 | 11.18% | |
Gender | Male | 51.2% |
Female | 48.8% | |
Education | Illiterate | 7.25% |
Primary school | 20.29% | |
Secondary school | 41.55% | |
Higher secondary | 9.18% | |
Graduate & above | 4.83% | |
No response | 16.91% | |
Occupation | Business | 36.23% |
Service | 18.36% | |
House wife | 41.54% | |
Others | 4.83% | |
Living place | Urban | 35.3% |
Rural | 64.7% |
FIGURE 1: EDUCATIONAL STATUS OF THE STUDY POPULATION.
A total of 500 patients visiting to a diabetes clinic were interviewed to know their educational background and the answers were recorded. Percentage of population in each educational level was calculated for male and female separately.
Among 500 patients, 83.4% (n=417) population showed high fasting glucose (> 7.0 mmol/L) level. These 417 patients were further evaluated for studying the prevalence of metabolic syndrome. Considering this condition, we found 47.00% patients with T2DM were suffering from metabolic syndrome out of which 58.6% were female and 36.14% were male. Patients within the age group of 55-64 years are having the highest prevalence of metabolic syndrome (Figure. 2). The incidence of MetS was found to increase with age. However, due to poor response by the patients over 65 years age, prevalence of MetS of this group was estimated to be lower than the age group of 55-64 years. In all the age groups, female patients showed highest percentage than male (data not shown).
FIGURE 2: PREVALENCE OF METABOLIC SYNDROME AMONG DIABETES BY AGE
Diabetic patients regardless of gender (fasting glucose level more than 7.0mmol/l) of different age groups were evaluated for the prevalence of metabolic syndrome. Different components of metabolic syndrome were evaluated and by considering the definition of metabolic syndrome described in materials and methods, percentage of metabolic syndrome in each group were estimated.
Prevalence of different risk factors for Metabolic Syndrome: Anthropometric and biochemical characteristics of the study population are listed in table 2. The mean BMI of the study population was 24.82±5.23. Female was more likely to be obese than male at least in our target population. Values for total cholesterol was 196.61±55.44 and 42.15±6.32 for HDL cholesterol. All of the risk factors found to increase with age of the study population regardless of gender (data not shown).
TABLE 2: ANTHROPOMETRIC, CLINICAL AND BIOCHEMICAL CHARACTERISTICS OF THE STUDY POPULATION
Risk factor | (Mean ± SD) |
Body Mass Index (kg/m2) | 24.82 ± 5.23 |
Systolic blood pressure (mm Hg) | 121.52 ± 12.13 |
Diastolic blood pressure (mm Hg) | 82.85 ± 3.56 |
Fasting blood glucose (mmol/l) | 9.38 ± 4.39 |
Total Cholesterol (mg/dl) | 196.61± 55.44 |
Triglyceride (mg/dl) | 250.54 ± 75.93 |
HDL-cholesterol (mg/dl) | 42.15± 6.32 |
Prevalence of different components of metabolic syndrome assessed in the diabetic subjects are presented in the table 3. Among the different components, prevalence of hyperglycemia was 76.28% with the prevalence in male being 81.04% and female 72.12%. Obesity (High BMI) and hypertiglyceridemia followed by low-HDL were more prevalent in female. In contrast, male were more likely to have low-HDL and hypertriglyceridemia followed by high blood pressure. However, hypertriglyceridemia is the major risk factors in total population (Table 3). Contributions to develop MetS by the different risk factors are presented in figure 3. About 38% populations suffered from combined effect of glucose impairment, hypertriglyceridemia and obesity, whereas 22% population is effected due to the presence of four components.
TABLE 3: PREVALENCE OF DIFFERENT COMPONENTS OF METS BY SEX AMONG STUDY POPULATION
Components | Male (%) | Female (%) | Total (%) |
High BMI | 22.22 | 80.89 | 51.60 |
High random blood glucose | 81.04 | 72.12 | 76.28 |
High blood pressure | 33.23 | 29.15 | 31.08 |
High Triglyceride | 81.04 | 70.71 | 75.64 |
High cholesterol (total) | 36.36 | 34.02 | 35.26 |
HDL–cholesterol | 85.02 | 42.85 | 71.42 |
FIGURE 3: PREVALENCE OF METABOLIC SYNDROME RISK FACTORS. Different components of metabolic syndrome were evaluated in diabetic patients. Percentage of prevalence of different components contributing for the development of metabolic syndrome was estimated. Where, B= BMI, G= Fasting glucose level, T= Triglyceride, Bp= High blood pressure
Prevalence of Metabolic Syndrome among non-diabetic patients in this study cohort: Of interest we also checked the prevalence of MetS in patients having fasting glucose level < 7.0 mmol/L of this study cohort. We found 12. 04% of the population was suffered from MetS.
DISCUSSION: The prevalence of MetS in T2DM patients living in a coastal region of Bangladesh is reported here. This study reveals a high percentage of MetS among the individuals with T2DM. Our study also provides the first estimates of the prevalence of MetS among the diabetic patients of Bangladesh living in a coastal area of the country.
About 47% of the diabetic patients, included in this study, showed MetS, which is more than two-fold greater than 19.5% prevalence in the general urban Bangladeshi population 13. Recently, Surana et al 16, documented approximately 77% of urban Indian diabetic population had the prevalence of MetS which is more than two-fold greater than general prevalence of 31.6% 17.
Other published studies measuring prevalence of metabolic syndrome in type 2 diabetes in different countries reported a prevalence of 79.7% from Pakistan 18, 75.6% from the USA 19 and Foucan et al 20, reported a 77% prevalence of metabolic syndrome in diabetic Indian immigrants in the USA. Although the prevalence of MetS varies markedly in different studies, most likely due to lack of accepted criteria for the definition of MetS 21, our results are likely to be similar with the others at least while comparing the prevalence of metabolic syndrome in diabetic patients and the general population of the respective regions.
Our data also documented high prevalence of metabolic syndrome among diabetic women as compared to diabetic men. This is the similar result as reported by Prabhakaran et al 22.
Furthermore, in the present study, the prevalence of MetS is increased with age but a slight declined was noted after age of 65, consistent with findings reported in India 23.
In the present study, hypertriglyceridemia was found to be the most common risk factor for MetS, i.e it was observed in 75.64% of the total study population. Around 81% male and 70% female were affected by hypertriglyceridemia. There was no age specific prevalence for hypertriglyceridemia.
The overall prevalence of hypertension is this study was estimated as 31.08%. In terms of gender specificity, 29.15% female and 33.23% male were suffering from hypertension. Recent reports conducted among the urban women in Bangladesh, showed 29.43% prevalent for MetS12.
Individual components of metabolic syndrome are well known as high risk factors for cardiovascular morbidity and mortality. Adults with type 2 diabetes, the presence of metabolic syndrome is associated with a fivefold increase in cardiovascular risk independent of age, sex, smoking status, and glycated hemoglobin (HbA 1c) 24.
Therefore, it is imperative that aggressive therapy be aimed at controlling dysglycemia, dyslipidemia and hypertension. Furthermore, health care professionals must be more careful to patients with metabolic syndrome in averting or delaying progression to diabetes, cardiovascular disease, and other complications.
We recognized some limitations in this study. Firstly, the sample size was not so large and thus a comprehensive prevalence study is required among the Bangladeshi diabetic patients. Secondly, the study population consists of regularly followed up patients in an outpatient clinic and therefore the effects of treatment (antidiabetes, antihypertensive, statins etc) were not included in the study.
CONCLUSION: Our data reveals that metabolic syndrome is common among diabetic patients. Since patients with T2DM carry a cluster of cardiovascular risk factor, proper measurement to identify the MetS among this population is of great importance. Furthermore, non-diabetic individuals with metabolic syndrome should be identified from the general population and screened regularly.
REFERENCES:
- Amos AF, McCarty DJ, Zimmet P: The rising global burden of diabetes and its complications: estimates and projections to the year 2010. Diabet Med. 1997; 15: S1-S85
- King H, Aubert RE, and Herman WH: Global burden of diabetes, 1999-2025: prevalence, numerical estimates and projections. Diabetes Care 1998; 20: 1414-1431
- Uunsitupa M: Lifestyles matter in the prevention of type-2 diabetes. Diabetes Care 2002; 25: 1650-1651
- Wild S, Roglic G, Green A, Sicree R, and King H: Global prevalence of diabetes: estimates for the year 2000 and projections for 2030. Diabetes Care 2004; 27: 1047-1053
- Magliano DJ, Shaw JE, Zimmet PZ: How to best define the metabolic syndrome. Ann. Med. 2006; 38: 34-41
- Zimmet P, Alberti KG, Shaw J: Global and societal implications of the diabetes epidemic. Nature. 2001; 414: 782-787
- Grundy SM, Brewer B, Cleeman JI, Smith SC, Lenfant C: Definition of metabolic syndrome: report of the National Heart, Lung, and Blood Institute/ American Heart Association Conference on scientific issues related to definition. Circulation. 2004; 109: 433-438
- Lakka HM, Laaksomen DE, Lakka TA, Niskanen LK, Kumpusalo E, Tuomilehto J, Salonen JT: The metabolic syndrome and total cardiovascular disease mortality in middle-aged men. JAMA 2002; 288: 2709-27016
- Hu G, Qiao Q, Tuomilehto J, Balkau B, Borch-Johsen K, Pyorala K, DECODE Study Group: Prevalence of the metabolic syndrome and its relation to all-cause and cardiovascular mortality in nondiabetic European men and women. Arch Intern Med. 2004; 164: 1066-1076
- Wannamethee SG, Shaper AG, Lennon L, Morris RW: Metabolic Syndrome vs Framingham Risk Score for Prediction of Coronary Heart Disease, Stroke, and Type 2 Diabetes Mellitus. Arch Intern Med. 2005; 165: 2644–2650.
- Magat C, Goel NK, Walia DK, Agawal N, Sharma MK, Kaur J, Singh R, Singh G: Metabolic syndrome: a challenging health issue in highly urbanized union territory of north India. Diabetol Metab Syndr. 2010; 2: 19
- Jesmin S, Mia MS, Islam, AMS, Islam AR, Sultana SN, Zaedi S, Yamaguchi N, Okazaki O, Moroi M, Kimura S, Hiroe M: Prevalence of metabolic syndrome among rural Bangladeshi women. Diab Res Clin Pract. 2011; doi:10.1016/j.diabres.2011.09.025
- Khanam MA, Qiu C, Lindeboom W, Streatfield PK, Kabir ZN, Wahlin Å: The metabolic syndrome: prevalence, associated factors, and impact on servival among older persons in rural Bangladesh. PLoS One. 2011;6: e2025
- World Health Organization: Diabetes Mellitus: Report of a WHO Study Group. Geneva: WHO, 1985. Technical Report Series 727
- Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults Executive summary of the third report of the National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III). JAMA. 2001; 285: 2486–2497
- Surana SP, Shah DB, Gala, K, Susheja A, Hoskote SS, Gill N, Joshi SR, Panikar V: Prevalence of metabolic syndrome in an urban Indian diabetic population using the NECP ATP III guidelines. JAPI. 2008;56:865-868
- Gupta R, Deedwania PC, Gupta A, Rastogi S, Panwar RB, Kothari K: Prevalence of metabolic syndrome in an Indian urban population. Int J Cardiol. 2004; 97:257-261.
- Imam SK, Shahid SK, Hassan A, Alvi Z: Frequency of the metabolic syndrome in type 2 diabetic subjects attending the diabetes clinic of a tertiary care hospital. J Pak Med Assoc 2007; 57:239-242.
- Bruno G, Merletti F, Biggeri A, Bargero G, Ferrero S, Runzo C, Prina Cerai S, Pagano G, Cavallo-Perin P: Casale Monferrato Study. Metabolic syndrome as a predictor of all-cause and cardiovascular mortality in type 2 diabetes: The Casale Monferrato study. Diabetes Care 2004; 27:2689-2694.
- Foucan L, Deloumeaux J, Donnet JP, Bangou J, Larifla L, Messerchmitt C, Salmi LR, Kangambega P: Metabolic syndrome components in Indian migrants with type 2 diabetes. A matched comparative study. Diabetes Metab 2006; 32:337-342.
- Isomaa B, Almgren P, Forsen B, Tuomi T, Lahti K, Nissen M: Cardiovascular morbidity and mortality associated with metabolic syndrome. Diabetes care. 2001;24:683-689
- Prabhakaran D, Chaturvedi V, Shah P, Manhapra A, Jeemon P, Shah B, and Reddy KS: Differences in the prevalence of metabolic syndrome in urban and rural India: a problem of urbanization. Chronic Illn. 2007; 3:8–19.
- Deepa M, Farooq S, Datta M, Deepa R, Mohan V: Prevalence of metabolic syndrome using WHO, ATPIII and IDF definitions in Asian Indians: the Chennai Urban Rural Epidemiology Study (CURES-34). Diabetes Metab Res Rev 2007;23:127-134
- Bonora E, Targher G, Formentini G, Calcaterra F, Lombardi S, Marini F, Zenari L, Saggiani F, Poli M, Perbellini S, Raffaelli A, Gemma L, Santi L, Bonadonna RC, Muggeo M: The metabolic syndrome is an independent predictor of cardiovascular disease in type 2 diabetic subjects. Prospective data from the verona diabetes complications study. Diabet Med 2004; 21:52-58.
How to cite this article:
Hossain MS, Rahaman MZ, Banik S, Sarwar MS, Yokota K:Prevalence of the Metabolic Syndrome in Diabetic Patients living in a Coastal Region of Bangladesh.Int J Pharm Sci Res 2012; Vol. 3(8): 2633-2638.
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IJPSR
Mohammad Salim Hossain*, Md. Zahedur Rahaman , Sujan Banik , Md. Shahid Sarwar , Kazushige Yokota
Professor, Department of Life Science and Biotechnology, Shimane University 1, 1060 Nishikawatsu-cho, Matsue, Shimane 690-8504, Japan
yokotaka@life.shimane-u.ac.jp
24 April, 2012
14 May, 2012
21 July, 2012
http://dx.doi.org/10.13040/IJPSR.0975-8232.3(8).2633-38
01 August, 2012