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                <title><![CDATA[Prevalence and risk factors of coronary heart disease in a rural population of Bangladesh]]></title>

                                    <author><![CDATA[M Abu Sayeed]]></author>
                                    <author><![CDATA[Hajera Mahtab]]></author>
                                    <author><![CDATA[Shurovi Sayeed]]></author>
                                    <author><![CDATA[Tanjima Begum]]></author>
                                    <author><![CDATA[Parvin Akter Khanam]]></author>
                                    <author><![CDATA[Akhter Banu]]></author>
                
                <link data-url="https://imcjms.com/public/registration/journal_full_text/189">
    https://imcjms.com/public/registration/journal_full_text/189
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                <pubDate>Wed, 19 Apr 2017 15:04:58 +0000</pubDate>
                <category><![CDATA[Original Article]]></category>
                <comments><![CDATA[Ibrahim Med. Coll. J. 2010; 4(2): 37-43]]></comments>
                <description>Coronary
heart disease (CHD) is a major global health problem with the majority of
burden observed increasingly in the developing countries. There has been no
estimate of CHD in Bangladesh. This study addresses the prevalence of CHD in a
Bangladeshi rural population which also aimed to determine the risk factors
related to CHD. Ten villages of Nandail sub-district under Mymensingh were
selected purposively. All subjects of age ³20y were considered eligible and were interviewed about family
income, family history of T2DM, CHD and HTN. The investigations included
height, weight, waist-girth, hip-girth, systolic and diastolic blood pressure
(SBP &amp;amp; DBP), fasting blood glucose (FBG), triglycerides (TG), cholesterol
(Chol) and high density lipoprotein (HDL). Hemoglobin A1c (HbA1c) and
albumin-creatinine ratio (ACR) were also estimated. Finally,
electrocardiography (ECG) was undertaken in all participants who had family
history of diabetes or hypertension or CHD. Diagnosis of CHD was based on
history of angina or changes in ECG or diagnosed by a cardiologist. A total of
6235 subjects were enlisted as eligible (age ³20y) participants. Of them, 4141 (m / f: 1749 / 2392) subjects
volunteered for the study. The age-adjusted (20-69y) prevalence of CHD was 1.85
with 95% CI, 1.42 – 2.28. There was no significant difference between men and
women. The mean (SD) values of age (p&amp;lt;0.001), SBP (p&amp;lt;0.01), DBP
(p&amp;lt;0.05), HbA1c (p&amp;lt;0.05) and ACR (p&amp;lt;0.01) were significantly higher
among subjects with CHD than those without; whereas, there were no significant
differences in BMI and WHR, TG, Chol and HDL. Logistic regression analysis showed
that adjusted for age, sex, social class and obesity, the subjects with higher
age (³45y), higher 2hBG (³7.0mmol/l), higher ACR (³17.2) and family history of CHD had significant risk for CHD. The
prevalence of CHD is comparable with other Asian population. Family history of
CHD and age over 45 years, and who had hyperglycemia and higher ACR were proved
to be the independent predictors of CHD. CHD was found to affect participants
irrespective of sex, social class, obesity and lipid status. Though the IFG and
diabetes groups appeared to have similar biophysical characteristics, only the
diabetes group had significant risk for CHD. Further study in a larger sample
may be undertaken to confirm the study findings and to explore some
unidentified risk factors of CHD.
Address for
Correspondence: Prof. M Abu Sayeed,
Department of Community Medicine, Ibrahim Medical College, 122 Kazi Nazrul
Islam Avenue, Shahbag, Dhaka-1000, e-mail: sayeedma@dab-bd.org
&amp;nbsp;
Morbidity
and mortality from coronary heart disease (CHD) have increased to an epidemic
form in the past several decades. A substantial number of reports indicatethattheprevalenceofCHDhasincreasedboth in the developed and in the developing countries.1-4&amp;nbsp;Recently published reports
suggests that CHD is related to social deprivation and low socio-occupational
classes.5,6&amp;nbsp;It is
well known that Bangladesh is one of the least developing countries and its per
capita GNP is one of the lowest (USD 370) in the world.7&amp;nbsp;Another important and
relevant consideration is that CHD is the leading cause of death among
individuals with diabetes.8&amp;nbsp;The information on CHD and its association
with known risk factors in populations with high rates of diabetes is limited
and the influence of known duration of diabetes was not observed to be a
significant contributor to the cardiovascular risk factors.9&amp;nbsp;The risk factors were found
to be significant in the sub-sample of patients with duration of diabetes even
less than 15 years. As regards diabetes, Bangladeshis were found to have a high
prevalence of impaired fasting glucose (IFG: 4 – 12%) and type-2 diabetes
(T2DM: 4-11%) in the age group equal to or greater than 20 years.10-13&amp;nbsp;Thus, it appears that the
people of Bangladesh are likely to develop CHD for the two obvious reasons –
first, due to the exposure of social deprivation; and second, there being a
high prevalence of diabetes. However, there has been no known study so far conducted
to address this issue. This study was undertaken to determine the prevalence of
CHD in a sub-sample of the vast majority of rural Bangladesh and to investigate
the risk factors acting upon them. 
Subjects and Methods
The
objectives and procedural steps were informed to every individual participant
for taking consent. Having consent each individual was requested to attend a
nearby investigation spot with at least 12h fast. Each participant was
interviewed for clinical history, medication and physical activities, and for
women, menstrual history to exclude pregnancy [Figure-1]. Measurements of
height, weight, and girth of waist and hip were taken with light clothes and
barefooted. Blood pressure was measured after 10min rest. Hemocue Cuvettes were
used for measuring capillary fasting blood glucose (FBG). The participants were
classified into hyperglycemic and normoglycemic groups based on FBG cut-off at
5.6 mmol/l. All the subjects with hyperglycemia (³5.6mmol/l) were considered eligible for further investigations like
oral glucose tolerance test (OGTT), total cholesterol (t-chol), triglycerides
(TG), high-density-lipoprotein chol (HDL-Chol), hemoglobin A1c (HbA1c),
electrocardiogram (ECG) and urinary albumin-creatinine ratio [Figure-1].
Additionally, the normoglycemic (FBG &amp;lt;5.6mmol/l) subjects also had all these
investigations but only in randomly selected 20%.
&amp;nbsp;
&amp;nbsp;
&amp;nbsp;
A total of 6235 subjects of 10 villages were found eligible for the
study. Of them, 4141 (m / f = 1749 / 2392) volunteered for the study. The mean
(SD) age of the participants was 37.6 (15.2) years and the values for BMI, WHR,
SBP, DBP and FBG were 19.4 (2.9), 0.84 (0.07), 120 (18) mmHg, 77 (12) mmHg and
4.7 (0.89) mmol/l, respectively (Table-1a). The participants, as mentioned,
were categorized into hyperglycemic (FBG ³5.6) and normoglycemic (FBG&amp;lt;5.6) groups [figure 1]. Further
biochemical investigations are also shown in the same table. Hyperglycemia was
found in 7.2% (n=300) and normoglycemia in 92.8% (n=3841) subjects. All of the
hyperglycemic and 20% of the randomly selected normoglycemic subjects (n=768)
were undertaken for further investigations like cholesterol, TG, HDL, HbA1c,
ACR shown in Table-1b. The characteristics of the hyperglycemic and
normoglycemic subjects were compared (Table 2). Compared with the normoglycemic,
the hyperglycemic subjects had significantly higher age, WHR, WHtR, SBP, DBP
and FBG; whereas, they did not differ with respect to sex, social class, family
history of HTN and CHD. In contrast, the family history of diabetes was
significantly higher among the hyperglycemic group (p&amp;lt;0.01). 
Fig.1: Algorithm
for investigation:
&amp;nbsp;
&amp;nbsp;
Table 1b: Investigations undertaken for the
hyperglycemic and randomly selected groups (n = 976)
&amp;nbsp;
&amp;nbsp;
Table-3 shows the comparison of characteristics between subjects
with and without CHD. The subjects with CHD had a significantly higher age
(p&amp;lt;0.001), WHtR (p&amp;lt;0.03), SBP (p&amp;lt;0.01), DBP (p&amp;lt;0.05), FBG
(p&amp;lt;0.001) and ACR (p&amp;lt;0.01) than their non-CHD counterpart; whereas, other
characteristics like BMI, WHR, Chol, TG, HDL, LDL, VLDL and lipoprotein (a) did
not differ.
Table 3: Comparison of characteristics between
subjects with and without coronary heart disease (CHD)
&amp;nbsp;
&amp;nbsp;
&amp;nbsp;
We also
estimated the association of CHD with family income, education, occupation and
smoking habits. None of these variables showed any significant association with
CHD. In contrast, family history of hypertension and family history of CHD
proved to have a significant risk for CHD.
&amp;nbsp;
&amp;nbsp;
Discussion
&amp;nbsp;
&amp;nbsp;
Additional
merit of the study is that more than 90% of the selected participants
volunteered for ECG, OGTT, t-cholesterol, TG, HDL, LDL and ACR in a rural
setting.
As regards
risk factors for CHD, advancing age, diabetes, hypertension, family history of
CHD and high ACR are very consistent with other studies.14-16,18-20&amp;nbsp;Interestingly, smoking
habit, general obesity (high BMI), central obesity (high WHR), dyslipidemia
(high chol, TG, low HDL) and extremes of social class (affluent or socially
deprived) were found not significantly related to CHD. Why these known risk
factors are not related to CHD in the study population is not clear. Possibly,
the study population was neither obese (mean BMI±SD: 19.4±2.9; WHR: 0.84±0.07)
nor dyslipidemic (95% CI: cholesterol, 121 -129, TG, 105 – 117) and not
exceeding the thresholds of obesity or dyslipidemia for developing CHD.
Consequently, these risk factors were found not contributing to
atherosclerosis. 
&amp;nbsp;
The
study concludes that the prevalence of CHD is almost comparable with the
Indians and even higher than Japanese and Chinese. Family history of CHD and
age over 45 years, and who had hyperglycemia and higher ACR were observed to be
the independent predictors of CHD. CHD was found to affect participants
irrespective of sex, social class, obesity and lipid status. Although the IFG
and diabetes groups appeared to have similar biophysical characteristics, only
the diabetes group had a significant risk for CHD. Further studies on a larger
sample may be undertaken to confirm the study findings and to explore some
unidentified risk factors of CHD.
Acknowledgements
&amp;nbsp;
1.&amp;nbsp;&amp;nbsp; Azambuja MI, Levins R.
Coronary heart disease (CHD)—one or several diseases? Changes in the prevalence
and features of CHD. Perspect Biol Med 2007; 50: 228-42.
3.&amp;nbsp;&amp;nbsp; Jabara R, Namouz S, Kark
JD, Lotan C. Risk characteristics of Arab and Jewish women with coronary heart
disease in Jerusalem. Isr Med Assoc J. 2007; 9: 316-20.
5.&amp;nbsp;&amp;nbsp; Strong M, Maheswaran R,
Radford J. Socioeconomic deprivation, coronary heart disease prevalence and
quality of care: a practice-level analysis in Rotherham using data from the new
UK general practitioner quality and outcomes framework. J Public Health
(Oxf) 2006; 28: 39-42.
7.&amp;nbsp;&amp;nbsp; Musa AKM, Khan AH.
Statistical pocket book of Bangladesh 2004: Bangladesh bureau of statistics,
planning division, ministry of planning, Government of the Peoples’ Republic of
Bangladesh 2006; 437-8.
9.&amp;nbsp;&amp;nbsp; John L, Nayyar V, Shyla
PM, Kanagasabapathy AS. Comparison of cardiovascular risk factors in type II
(non-insulin dependent) diabetics with and without coronary heart disease. J
Assoc Physicians India. 1993; 4: 84-7.
11.Sayeed MA, Banu A, Khanam
PA, Mahtab H and Azad Khan AK. Prevalence of Hypertension in Bangladesh: effect
of socioeconomic risk on difference between rural and urban community. Bang
Med Res Coun Bull 2002; 28: 7-18.
13.Sayeed MA, Mahtab H,
Khanam PA, Ali SMK, Chowdhury RI, Vaalar S, Hussain A and Azad Khan AK. Fasting
cut-offs in determining the prevalence of diabetes and intermediate glucose
abnormality in a non-obese population. Bang Med Res Counc Bull 2004; 30:
105–114.
15.Silbiger JJ, Ashtiani R,
Mehran Attari, Tanya M. Spruill, Mazullah Kamran, Deborah Reynolds, Russell
Stein and David Rubinstein. Aheroscerlotic heart disease in Bangladeshi
immigrants: risk factors and angiographic findings. Int J Cardiology
2008; 12: 175 [letter].
17.Rahman MA, Zaman MM.
Smoking and smokeless tobacco consumption: Possible risk factors for coronary
heart disease among young patients attending a tertiary care cardiac hospital
in Bangladesh. Public health J 2008; 122: 1331-1338.
19.Joshi R, Chow CK, Raju PK,
Raju R, Reddy KS, MacMahon S, Lopez D, Neal B. Fatal and nonfatal
cardiovascular disease and the use of therapies for secondary prevention in a
rural region of India. Circulation. 2009; 119: 1950-1955.
21.Nazarethhttp://heartasia.bmj.com/content/2/1/28.
abstract - aff-1 I, D’Costa G, Kalaitzaki E, Vaidya R, King M. Angina in
primary care in Goa, India: sex differences and associated risk factors.
Heart Asia 2010; 2: 28-35.
23.Yusuf S, Reddy S, Ounpuu S
and Anand S. Global burden of cardiovascular diseases: Part II: Variations in
cardiovascular disease by ethnic groups and geographic regions and prevention
strategies. Circulation 2001; 104: 2855-2864.</description>

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