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    <title>IMC Journal of Medical Science</title>
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    <description>Ibrahim Medical College Journal of Medical Science</description>

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                <title><![CDATA[Cardio-metabolic risk and morbidity of a cohort
in a rural community of Bangladesh]]></title>

                                    <author><![CDATA[Nehlin Tomalika]]></author>
                                    <author><![CDATA[Sadya Afroz]]></author>
                                    <author><![CDATA[Md Mohiuddin Tagar]]></author>
                                    <author><![CDATA[Naima Ahmed]]></author>
                                    <author><![CDATA[MA Sayeed]]></author>
                
                <link data-url="https://imcjms.com/registration/journal_full_text/551">
    https://imcjms.com/registration/journal_full_text/551
</link>
                <pubDate>Sat, 30 Nov 2024 12:16:53 +0000</pubDate>
                <category><![CDATA[Original Article]]></category>
                <comments><![CDATA[January 2025; Vol. 19(1):003]]></comments>
                <description>Abstract
Background and objectives:
Of the ever-increasing non-communicable diseases (NCDs), cardiometabolic
morbidity and mortality constitute the major health burden world-wide. Several
cross-sectional studies revealed the increasing prevalence&amp;nbsp;of NCDs irrespective
of cast, culture, ethnicity, socio-economic growth and geopolitical
environment. Recent cross-sectional studies revealed South Asians are the most
susceptible to cardiovascular diseases (CVD). Few cohort studies addressed
cardiometabolic morbidity and related risks, particularly in the rural
population.This study was carried out to find out the prevalence of metabolic syndrome
(MetSyn) and its changes overtime in a rural cohort of Bangladesh.
Methods:
The study used baseline data of a study conducted in 2011- 2013 on prevalence
of coronary artery disease among a cohort living in 16 villages. During
2021-2023, the baseline data collected in 2011-2013 were retrieved and the participants
were searched and categorized into a) physically present, b) died and c)
missing. Those who were present were requested to volunteer for re-investigations.
Briefly the investigations included interviewing on social, family, personal
and clinical history, anthropometry, blood pressure measurement, blood biochemistry
and electrocardiography (ECG).
Results: A&amp;nbsp;total of 3928 people participated in baseline study of 2011- 2013. Of them,
1075 could be tracked by village and household. Of them, 953 were found alive.
Of the 953 available participants, 651 (254 men and 397 women) volunteered to
participate in 2021-2023 study. Compared to 2011-2013 baseline, the prevalence
of MetSyn and type&amp;nbsp;2 diabetes mellitus (T2DM) increased to 31.6% and 5.2% from
7.5% and 0.8% respectively in 2021-2023. Similarly, compared to baseline, the
prevalence of obesity and hypertension also showed significant increase
overtime. Estimated incidence of MetSyn was 260.8 per 1000 population, which
was more profound in women than men (W: M= 300.3:200.8).
Conclusions:
The study revealed a significant increase of obesity, hypertension, diabetes
and metabolic syndrome within a decade indicating an emerging health burden among
the rural people of Bangladesh.
January 2025; Vol. 19(1):003.&amp;nbsp; DOI:https://doi.org/10.55010/imcjms.19.003
*Correspondence:
MA Sayeed, Department of Community
Medicine, Ibrahim Medical College, 1/A Ibrahim Sarani, Segunbagicha, Dhaka 1000, Bangladesh.&amp;nbsp; Email: sayeed950@gmail.com;
©
2025 The Author(s). This is an open access article distributed under the terms
of the Creative Commons Attribution License(CC BY 4.0).
&amp;nbsp;
Introduction
Globally non-communicable diseases
(NCDs) are now considered as the most common causes of increasing morbidity and
mortality in humans [1]. The significant burden of NCDs is related to global
increase of metabolic diseases or syndrome [2]. Metabolic diseases include
hypertension (HTN), type 2 diabetes mellitus (T2DM), dyslipidemia, obesity and
non-alcoholic fatty liver disease [2,3]. Metabolic
diseases have been increasing in the Southeast Asian Region (SEAR) [4-6] and
the trend is also observed in Bangladesh [7-10]. However, there is paucity of
studies on trends of metabolic diseases in rural population of Bangladesh. Therefore,
the present study was undertaken to assess the trends in the prevalenceof
metabolic diseases in a rural cohort of Bangladesh.
&amp;nbsp;
Materials
and methods
The present study was designed
based on a cross-sectional study that assessed the prevalence of coronary
artery disease in a rural population of 16 villages located about 100 km
north-east of capital Dhaka. The baseline investigations of the cohort were
done in the year 2011 through 2013. Data collection and analyses were completed
in 2013 and the findings published in 2017 [9]. The baseline data of this
cross-sectional study were retrieved. The participants’ lists with house number
in 16 villages were used for searching and tracking the baseline participants.
The participants of the baseline study (2011-2013) still living and present in
the villages were approached and enrolled in the present study of 2021-2023.
The detailed procedure is shown in Figure-1.
&amp;nbsp;
&amp;nbsp;
Figure-1:
Flow chart showing study procedure
&amp;nbsp;
The investigations for the present
study (2021-2023) were the same as the baseline one [9]. Briefly the
investigations included interviewing on social, family, personal and clinical
history, anthropometry (height, weight, waist- and hip-circumference), blood
pressure measurement, biochemistry (FBG, Lipids, creatinine, SGPT) and
electrocardiography (ECG). Metabolic syndrome was
defined when 3 or more of the following 5 components were present: 1) waist
circumference (≥88 cm for women and ≥102 cm for men), 2) triglycerides (≥150
mg/dL), 3) HDL cholesterol (&amp;lt;40 mg/dL for men and &amp;lt;50 mg/dL for women),
4) blood pressure (systolic ≥130 mm Hg, or diastolic ≥85 mm Hg, or both) and 5)
fasting blood sugar (&amp;gt;5.6 mmol/l) [11].
Statistical
analysis: The prevalence of biophysical characteristics is shown in
percentages and 95% confidence interval. All biophysical values are presented as
mean with (±SD). Correlations among variables were measured to determine
whether their associations changed significantly at endpoint from the starting
point.The trend of the prevalence rates was estimated by chi-sq trend,
according to age quartiles, both at baseline and at endpoints. Paired t-test was
used to find any significant differences between the two for each variable.
&amp;nbsp;
Results
As mentioned, the study population
of the present study was based on a population who took part in a
cross-sectional study conducted in 2011-13 to estimate the prevalence of coronary artery disease. A total of 3928 participated at
baseline [Figure-1]. At the endpoint 2021 -2023), 953 (24.3%) of 3928 were
found alive, and were requested to participate. Of the 953 presently available
baseline participants, 651 (men/women= 254/397) volunteered to participate in
the endpoint investigation in 2021-2023. Thus, 651 individuals constituted the
present study cohort. 
Table-1 illustrated the
biophysical characteristics of this cohort at baseline (2011-13) and at endpoint
(2021-23). Compared to baseline, a significant increase of general (BMI) or
central (WHR/ WHtR) obesity was observed at endpoint. Height, as expected, reduced
significantly (p&amp;lt;0.01). Biochemical variables (FBG, TG, and HDL) were also
found increased significantly (p&amp;lt;0.001) at endpoint compared to baseline. In
contrast, total cholesterol concentration showed no significant change.
Table-1:
The biophysical characteristics of the
study cohort (n = 651) at baseline and endpoint
&amp;nbsp;
&amp;nbsp;
Table-2 shows the comparisons of
different parameters of men and women participants at the endpoint assessment. Data
revealed that mean BMI, WHR &amp;amp; WHtR were significantly higher among women in
comparison to men.
Table-2:
Comparisons of biophysical
characteristics between men and women of the cohort at endpoint&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; 
&amp;nbsp;
Correlations of the biophysical
variables at baseline and endpoint are shown in Table-3 and 4, respectively.
Obesity both general (BMI), and central (WHR, WHtR) had significant positive
correlations with all blood pressure measures (SBP, DBP, MAP, for all
p&amp;lt;0.001) though the correlations were not significant with FBG, TG, Chol and
HDL at baseline (Table-3). For lipids, only cholesterol had significant
positive correlation with SBP (p = 0.001) and MAP (p= 0.017) at baseline (Table-3).
Similar significant positive correlations of obesity variables (BMI, WHR and
WHtR) with the blood pressure measures (SBP, DBP, MAP) were found at endpoint
(Table-4). Interestingly, though obesity did not correlate with metabolic
components (FBG, cholesterol, TG, HDL) at baseline (Table-3), but at the
endpoint (Table-4), TG correlated significantly with BMI and WHtR (p&amp;lt;0.001);
and HDL had significant inverse correlation with BMI (r= - 0.09, p=0.015). Comparison
of biophysical characteristics of the cohort with and without metabolic
syndrome both at baseline (2011-2013) and at endpoint (2021-23) are shown in
Table-5.
&amp;nbsp;
Table-3:
Correlations of biophysical variables
controlling for age and sex at baseline
&amp;nbsp;
Table-4:
Correlations of biophysical variables
controlling for age and sex at endpoint
&amp;nbsp;
&amp;nbsp;
Table-5:
Comparisons of the study population
(N=651) with and without metabolic syndrome (MetSyn) both at baseline
(2011-2013) and at endpoint (2021-2023)
&amp;nbsp;
&amp;nbsp;
Figure-2 shows the prevalence of
hypertension (SHTN, DHTN, MAHTN) in men and women at baseline (2011-13) and at
endpoint in 2021-23. No significant difference was observed (p&amp;gt;0.05). The
changes of prevalence of T2DM and MetSyn from baseline to endpoint are shown in
Figure-3. At baseline, the prevalence of T2DM in men and women was 1.2% and
0.5% respectively while it increased to 6.7% and 4.3% at endpoint in 2021-2023.
Over the decade, the prevalence of T2DM
increased significantly to 5.2% from 0.8% (p&amp;lt;0.01) and the estimated
incidence of T2DM was 44.9 per 1000 people per decade. &amp;nbsp;Development of MetSyn significantly
(p&amp;lt;0.05) increased in both men and women over 10 years (endpoint) period compared
to baseline in 2011-2013. The prevalence of MetSyn in the cohort was only 7.5%
at baseline (2011-2013) which increased to 31.6% at endpoint in 2021-2023.The
cohort revealed the incidence of MetSyn as 260.8 per 1000 population per
decade. The women had higher incidence rate than men (W : M = 300.3 : 200.8) per
1000 people.
&amp;nbsp;
&amp;nbsp;
Figure-2:
Prevalence (%) of hypertension (SHTN,
DHTN, MAHTN) in men and women at baseline (2011-13) and at endpoint (2021-23).
M: men, W: women.
&amp;nbsp;
&amp;nbsp;
Figure-3:
Prevalence (%) of T2DM and metabolic
syndrome (MetSyn) in men and women at baseline (2011-13) and at endpoint
(2021-23). M: Men, W: Women, T: Total.
&amp;nbsp;
Figure-4 and 5 depict whether
increasing age of the cohort influenced the prevalence of hypertension,
diabetes or MetSyn of the study population at baseline and at end point
respectively. The prevalence trend with advancing age was not significant
(p&amp;gt;0.05) at baseline for all components. In contrast, after a decade, at the
endpoint (2021-23) only the increasing trend for sHTN was found significant
(p&amp;lt;0.01).
&amp;nbsp;
&amp;nbsp;
Figure-4: Trend of prevalence (%) of hypertension
(sHTN, dHTN, MAHTN), T2DM and metabolic syndrome (MetSyn) at baseline (2011-13)
by age-quartile (&amp;lt;25, 25- 29, 30-39, ≥40 years) 
&amp;nbsp;
&amp;nbsp;
Figure-5: Trend of prevalence (%) of hypertension
(sHTN, dHTN, MAHTN), T2DM and metabolic syndrome (MetSyn) at endpoint (2021-23)
by age-quartile (&amp;lt;25, 25- 29, 30-39, ≥40 years)
&amp;nbsp;
Discussion
This study is first of its kind
addressing the trend of cardiometabolic morbidity over a decade in a cohort of
population in a rural community of Bangladesh. Most of the reported studies on
cardiometabolic morbidity and mortality from South Asian countries encompassed
urban population. The most important aspect of our study is that it showed an
alarming and increasing trend of cardiometabolic risks and diseases in rural people
that represents the vast majority of Bangladeshi population. There are a few
published data on the status of cardiometabolic syndrome or diseases on rural
population of Bangladesh for comparison. However, in south Asia a very elegant
cohort was initiated in 2010 as Cardiometabolic Risk Reduction in South Asia
(CARRS) [12]. The study also observed increasing trend of general and central
obesity among Asian population (Chennai, Delhi and Karachi) [12]. 
In the present study, all blood
pressure measures (sHTN, dHTN, MAHTN) increased significantly among our cohort
population within a decade. This observation is consistent with the findings of
a study involving a large cohort of over 16,000 adults in India [4]. In our
study, the most notable was the high increase of prevalence of diabetes and
MetSyn from baseline to endpoint over a period of 10 years. Similar changes of
prevalence and incidence of diabetes and MetSyn in South Asians have been
reported in other studies, but most of those studies were conducted either in
urban or metropolitan population [4,5,13-15]. However, our study cohort consisted
of only rural population. Our cohort participants had a significant and
noticeable increase of Chol, TG and LDL including significant reduced level of
HDL at endpoint from its baseline level. This finding is not inconsistent with the
findings of studies conducted on other south Asian cohort [6,16].
Our study addressed major cardiometabolic
risks prevalent among the rural population of Bangladesh which constitute 60%
of the total population of the country. It revealed significant increase of
obesity, hypertension, diabetes and metabolic syndrome in rural people over a
period of ten years. The prevalence of both T2DM and MetSyn increased more than
five times within a decade. These findings invite the attention of all
concerned to plan and take necessary preventive measures against this emerging
health burden.
&amp;nbsp;
Acknowledgements
Authors acknowledge the support of
the Department of Community Medicine of Ibrahim Medical College for providing expertise
and laboratory accessories. The local volunteers / field workers, school
teachers and students helped in finding out the enlisted baseline participants.
Additionally, they actively volunteered the study and informed the research
team the whereabouts of the participants.
&amp;nbsp;
Ethical
declaration
The study protocol was approved by
the Institutional Review Committee (IRC) of Bangladesh Diabetes Somity (BADAS).
Informed written consent was obtained from each and every participant prior to the
enrollment in the study.
&amp;nbsp;
Authors’ contributionNT and SA: contributed
equally in protocol writing, data analysis and manuscript writing; MMT and NA:
data collection and data entry; MAS:
manuscript writing.  Fund
The study was funded by Ibrahim
Medical College.
&amp;nbsp;
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