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    <title>IMC Journal of Medical Science</title>
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                <title><![CDATA[Estimated
glucose disposal rate (eGDR) in rural Bangladeshi population and its
correlation with cardiometabolic risks]]></title>

                                    <author><![CDATA[Nehlin Tomalika]]></author>
                                    <author><![CDATA[Md Mohiuddin Tagar]]></author>
                                    <author><![CDATA[Sadya Afroz]]></author>
                                    <author><![CDATA[Masuda Mohsena]]></author>
                                    <author><![CDATA[MA Sayeed]]></author>
                
                <link data-url="https://imcjms.com/registration/journal_full_text/457">
    https://imcjms.com/registration/journal_full_text/457
</link>
                <pubDate>Thu, 23 Mar 2023 12:08:13 +0000</pubDate>
                <category><![CDATA[Original Article]]></category>
                <comments><![CDATA[IMC J Med Sci. 2023; 17(2):005]]></comments>
                <description>Abstract
Background
and objectives:
For decades type 2 diabetes mellitus (T2DM) and insulin resistance (IR) are
increasingly gaining importance as an underlying mechanism for increased risk of
cardiovascular diseases (CVD). IR is related to various cardiometabolic adverse
effects.
Hyperinsulinemic-euglycemic clamp technique, the gold standard
method for measuring IR, is an invasive and complex procedure. Estimation of
glucose disposal rate (eGDR) is an easy alternative tool for measuring IR. There
is no known study on eGDR level in Bangladeshi native population. Therefore, this study was
undertaken to determine the eGDR values in a healthy working rural Bangladeshi population.

Materials and methods: Six villages were
selected purposively as the study sites. All healthy working people aged ≥20
years in selected rural community were considered eligible. Those who consented
to participate in the study were enrolled. Investigations included a)
interviewing for social and clinical history, b) anthropometry and measurement
of blood pressure and d) estimation of HbA1c and biochemical indices. The eGDR (mg/kg/min) was
calculated using formula:&amp;nbsp;eGDR =
21.158 − (0.09 * WC) − (3.407 * HT) − (0.551 * HbA1c); where WC = waist
circumference in cm, HT = hypertension (yes = 1/no = 0), and HbA1c = HbA1c (%).
Results: A total of 93
(m/w = 29/64) participants were enrolled in the study. The prevalence rates of
hypertension, diabetes and metabolic syndrome (MSyn) were 34%, 31.1% and 16.1%,
respectively. The mean eGDR value was 9.9 (±0.149; 95% CI: 9.62–10.2) mg/kg/min. Most of
the values of biophysical characteristics were normal. The comparison between
participants with and without MSyn showed that the former had significantly lower
eGDR (9.05±1.24 vs.10.10±1.37, p&amp;lt;0.01). Inverse correlations of eGDR with
the obesity, glycemia and lipidemia (weight, waist, FBG, T-chol, and TG) were
significant. Declining eGDR were significant with rising WHR, WHtR, TG/HDLR and
T-chol/HDLR (for all, p&amp;lt;0.05).
Conclusions: The study revealed
the level of eGDR in a healthy working people of a rural community of
Bangladesh. Moreover, eGDR was found to decrease significantly with the
increasing cardiometabolic risks. The study revealed a higher prevalence of
hypertension, diabetes and metabolic syndrome in apparently healthy working people
highlighting susceptibility of Bangladeshi natives to non-communicable diseases.
IMC J Med Sci.
2023; 17(2):005. DOI: https://doi.org/10.55010/imcjms.17.015
*Correspondence:
M Abu Sayeed, Department of Community Medicine,
Ibrahim Medical College, 1/A, Ibrahim Sarani, Segunbagicha, Dhaka 1000,
Bangladesh. Email: sayeed1950@gmail.com
&amp;nbsp;
Introduction
A
substantial number of the recent studies emphasize the importance of estimated
glucose disposal rate (eGDR) for predicting cardio-cerebrovascular events,
which indirectly measure the insulin resistance and overall metabolic
dysfunctions [1-3]. It was reported that an
eGDR level less than 8.77 mg/kg/minshowed 100% sensitivity
and 85.2% specificity for the diagnosis of metabolic syndrome [4,5]. Additionally,
lower eGDR is related to micro-vascular complications like retinopathy,
nephropathy and neuropathy [6]. Apart from micro- and macro- vascular complications,
events like acute coronary syndrome are
related to abnormal eGDR [7]. Also, individuals with type 1 diabetes mellitus
(T1DM) and low eGDR have altered cholesterol and triglycerides [8]. These
studies substantiate the significance of eGDR as an easy alternative tool for
determining insulin resistance and to predict metabolic dysfunctions in a large
population. To date, no study has yet been done on eGDR on Bangladeshi
population. Therefore, this study was designed to measure the eGDR values in an
apparently healthy working people of rural community of Bangladesh. Some other known
metabolic variables related to metabolic syndrome (obesity, blood pressure,
blood glucose, lipids) were also investigated to determine their associations
with eGDR.
&amp;nbsp;
Materials and
methods 
The
study was approved by Institutional Ethical Review Committee and conducted over
4 months period from September 2022 to December 2022. 
Geographical site and participants:
Six villages inhabited by mostly lower and middle class families were
purposively selected. Occupationally these people were engaged in pottery,
pottery-art and clay-modeling; some had mixed occupations like agriculture,
teaching, and small-scale business. The study area is situated at a distance of
about 38 km north of Dhaka City.
The village social leaders and school teachers were discussed
about the objectives and procedural details of the expected investigation. After
obtaining the consent, the medical students of Ibrahim Medical College
(Batch-19) prepared the participants’ list by house to house visit. The local
volunteers helped them to access the participants’ house. A pretested questionnaire
detailing social and clinical history was filled up following face to face
interview. Each participant was requested to attend the local Gonoshasthya
Kendra Hospital (GKH) in the next morning with overnight fast for further
investigations.
Investigations: At GKH, height,
weight, waist-girth, and hip-girth were measured. Blood pressure was measured after
rest for 10 minutes. Maintaining aseptic measure, 5ml venous blood was taken. HbA1c
was measured from a drop of whole blood
by the hemoglobinA1c analyzer (Glycohemoglobin
analyzer). Blood sample was centrifuged. Serum was separated and kept in 2
aliquots, frozen and transported to IMC Biochemistry Laboratory for estimation of
fasting blood glucose (FBG), total cholesterol (T-chol), triglycerides (TG), high
density lipid (HDL), low density lipid (LDL), serum glutamate pyruvate transaminase
(SGPT) and creatinine.
The eGDR (mg/kg/min)
was calculated using formula:&amp;nbsp;eGDR
= 21.158 − (0.09 * WC) − (3.407 * HT) − (0.551 * HbA1c); where WC =
waist circumference in cm, HT = hypertension (yes = 1/no = 0), and HbA1c =
HbA1c (%) [1].
Participants
diagnosed as having DM, HTN and MSyn for the first time were registered at non-communicable
disease (NCD) corner of GKH for management and follow-up.&amp;nbsp;
Statistical analysis: The prevalence rates were
shown in percentages. The bio-physical characteristics and cardio-metabolic
risk variables were expressed in mean (±SD) and 95% confidence interval (CI). Comparison
between groups (men vs. women) and Msyn (with vs. without) were tested by
independent t-test). The rising or
declining trend of mean values of risk variables with quartiles of eGDR were
estimated by ANOVA. Correlations of eGDR with different biophysical variables were
assessed by Pearson’s Correlation coefficient (r) adjusted for sex only and also for age and sex.
Level of significance was accepted at less 0.05. SPSS was used for all
analyses.
&amp;nbsp;
Results
A total of 93 (m/w = 29/64) participants volunteered the study. Table-1
illustrates the bio-physical characteristics and eGDR values of the
participants as mean and 95% CI. The mean eGDR was 9.9±0.15 (95% CI: 9.62-10.2)
mg/kg/min. Most of the other values were found to be normal.
&amp;nbsp;
Table-1:
Characteristics of the participants
(n=93)
&amp;nbsp;
&amp;nbsp;
The comparisons between men and women (Table-2) showed that men
were significantly older (age, p=0.002), obese (BMI, p=0.006) and hyperglycemic
(FBG, p=0.009; HbA1c, p&amp;lt;0.001) than the female participants. Men compared to
women had significantly (p=0.009) lower eGDR (men: 9.3713 vs. 10.1999).
&amp;nbsp;
Table-2:
Comparison of characteristics between men
and women (m/w = 29/64)
&amp;nbsp;
&amp;nbsp;
The prevalence of systolic hypertension, diabetes and metabolic
syndrome were 34.1%, 31.1% and 16.1% respectively as shown in (Table-3). Men
and women did not show any significant differences.
&amp;nbsp;
Table-3:
Prevalence of hypertension, diabetes and
metabolic syndrome by gender
&amp;nbsp;
&amp;nbsp;
Comparison between participants with and without MSyn (Table-4) showed
that the cardio-metabolic risks were significantly higher among those with than
those without MSyn. Thus, BMI, SBP, TG, were all significantly higher among the
MSyn group (for all p &amp;lt;0.05). As expected, the mean (±SD) values of eGDR was
significantly lower among those who had MSyn compared to those who had no MSyn
(eGDR, mg/kg/min: 9.05±1.24 vs.10.10±1.37, p&amp;lt;0.01).
&amp;nbsp;
Table-4:
Comparison of characteristics between
participants with (n=15) and without (n=78) metabolic syndrome (MSyn)
&amp;nbsp;
&amp;nbsp;
Correlation matrices controlling for sex and controlling for age
and sex are shown in Table-5 and 6 respectively. Correlations of eGDR with the
biophysical characteristic - height, weight, waist, FBG, T-chol, and TG were
found negatively significant (first row, Table-5). Thus, the findings showed
inverse associations – indicating that higher the obesity, glycemia, lipidemia
lower the eGDR. These significant inverse correlations of eGDR with
cardiometabolic risks factors namely BMI, WHtR in column 4, and FBG, TG, T-chol
in row 4 of Table-6 were maintained even when adjusted for age and sex.
&amp;nbsp;
Table-5:
Correlations (‘r’) of eGDR with
bio-physical characteristics controlling for sex
&amp;nbsp;
&amp;nbsp;
Table-6:
Correlations (‘r’) of eGDR with
cardiometabolic risks controlling for age and sex
&amp;nbsp;
&amp;nbsp;
ANOVA was employed to test whether decreasing quartile of eGDR
(Q4→Q3→Q2→Q1) with increasing level of bio-physical risk variables were
significant (Figure-1 and 2). Inverse associations were significant with
central obesity (WST , p&amp;lt;0.001) and TG (p&amp;lt;0.001) though weight (wt),
systolic blood pressure (sbp) and T-chol were found not significant (Figure-1).
Likewise, cardiometabolic risks were found to increase significantly with
declining eGDR (Figure-2). Inverse trends of declining eGDR were significant
with the rise of WHR, WHtR, TG/HDLR and T-chol/HDLR (for all p&amp;lt;0.05).
&amp;nbsp;
&amp;nbsp;
Figure-1: ANOVA determined the mean values of WST
(cm), WT (kg), SBP (mm), TG (mg/dl), T-chol (mg/dl) according to quartiles
(Q1:≤8.8, Q2:8.9 – 9.9, Q3:9.10 – 10.7, Q4: ≥10.8 ) of eGDR
&amp;nbsp;
&amp;nbsp;
Figure-2:
ANOVA estimated the mean values of WHR,
WHtR, FBG (mmol/L), TG/HDL Ratio, T-chol/HDL Ratio according to quartiles
(Q1:≤8.8, Q2:8.9 – 9.9, Q3:9.10 – 10.7, Q4: ≥10.8) of eGDR
&amp;nbsp;
Discussions
As mentioned,
there was no published report to date on eGDR on Bangladeshi population. There
are many studies which investigated the status of eGDR on the patients
suffering from diabetes (type1 &amp;amp; type2) with macro- [1-5,7-10] and
micro-angiopathy [6]. Thus, the present study was unique, as it was conducted
on working apparently healthy rural people. It is difficult to compare this
study findings with other studies. Very important outcome of this study is that
we could determine the level of eGDR in healthy community population (95%CI, 9.62
– 10.2 mg/kg/min).
This range of eGDR value may be used as reference one until we get a value
level based on well-designed study with larger number of samples. Other
outcomes are also important like the prevalence of hypertension (34.1%), T2DM
(31.1%) and MSyn (16.1%) in a rural community of Bangladesh. The prevalence of
hypertension (34.1%) is consistent, though higher than that reported by Kibria
et al [11]. Prevalence rates for T2DM and MSyn are consistent with Talukder et
al [12] and Chowdhury et al [13], respectively.
One
striking observation was that the HDL level was significantly higher among the
MSyn group than the non-MSyn group. This was a contradiction to the overall
cardiometabolic standards, remained unexplained and unclear. Possibly, the guideline
as proposed by National Cholesterol Education Program
III Guidelines is
not applicable on Bangladeshi people with MSyn. Bangladesh
including south Asian population needs own guideline for MSyn as we proposed
earlier in 2008 [14].
&amp;nbsp;
Conclusion
The
study revealed the range of eGDR values in apparently healthy rural population
of Bangladesh. The significance of correlations of eGDR with cardiometabolic
risks (obesity, hypertension, hyperglycemia, and hyperlipidemia) was also
projected. In addition, the study revealed a higher
prevalence of hypertension, diabetes and metabolic syndrome in apparently
healthy rural working people highlighting susceptibility of Bangladeshi natives
to NCDs. These findings demand health screening at regular interval. The findings are baseline
and suitable for an excellent cohort to assess the natural course of different
eGDR-quartiles in a Bangladeshi population in future.
&amp;nbsp;
Acknowledgements
We
acknowledge the contribution of Ibrahim Medical College for financing the
study. We are obliged to the potters’ community for their active cooperation in
every step of investigations. We are thankful to the workers of all grades,
staff and authority of Gonoshasthya
Kendra for providing food and lodging. We are also grateful to the physicians,
nurses, paramedics, and the technicians of biochemistry, imaging and
electrocardiography. The medical students of Ibrahim Medical College (IMC
–batch 19) showed their capabilities in conducting such an innovative
epidemiological study. 
&amp;nbsp;
Fund
The study was funded by Ibrahim Medical College.
&amp;nbsp;
Competing interest
The authors declare no conflict of interest.
&amp;nbsp;
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&amp;nbsp;
&amp;nbsp;
&amp;nbsp;
&amp;nbsp;
Cite this article
as: 
Tomalika N, Tagar MM,
Afroz S, Mohsena M, Sayeed MA. Estimated
glucose disposal rate (eGDR) in
rural Bangladeshi population and its correlation with cardiometabolic risks. IMC J
Med Sci. 2023;
17(2):005. DOI: https://doi.org/10.55010/imcjms.17.015</description>

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