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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[A
profile of illnesses prevailing in the secondary schools of rural communities
of Bangladesh]]></title>

                                    <author><![CDATA[Tanjima Begum]]></author>
                                    <author><![CDATA[Parvin Akter Khanam]]></author>
                                    <author><![CDATA[Mir Masudur Rhaman]]></author>
                                    <author><![CDATA[M. Abu Sayeed]]></author>
                
                <link data-url="https://imcjms.com/registration/journal_full_text/364">
    https://imcjms.com/registration/journal_full_text/364
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                <pubDate>Sat, 06 Mar 2021 01:07:19 +0000</pubDate>
                <category><![CDATA[Original Article]]></category>
                <comments><![CDATA[IMC J Med Sci 2020; 14(2): 007]]></comments>
                <description>Abstract
Background and objectives:
The childhood population in Bangladesh is ~20% of the 166.5 million. The rural population
comprises almost 70%. Approximately,
Bangladesh
has more than 23,500 high
schools. There has been no published data on the profile of illness commonly
observed among the high school children. The aims of the study were a) to determine a profile of
common illness among the students of rural high schools; b) to assess the
nutrition status related to socio-economic class and c) to find out the
correlations between anthropometry and blood pressure and between anthropometry
and blood glucose status.
Methods: The study was conducted in purposively
selected high schools in Santhia thana under the district of Pabna. Local
leaders and the school teachers volunteered to communicate the study objectives
and investigation details to the eligible students. The teachers prepared the
list of participants. All the willing participants were advised to attend the
investigation site in the morning in a fasting state. Each participant was
interviewed. Socio-demographic and clinical history was taken. Investigations
included anthropometry – height (ht), weight (wt), waist- and hip-circumference
(waist, hip). Adiposity indices namely body mass index (BMI – wt in kg/ht in
met. sq.), waist/hip ratio (WHR) and waist/ht ratio (WHtR) were calculated.
Resting blood pressure was taken. Clinical examination (general and systemic) was
done. Fasting blood glucose (FBG) was estimated using glucometer strip and
blood grouping by test kit. Test kit was also used for detection of urinary protein.

Results: From six schools, 1069
students (boys/girls = 392/677) of age 10 to 19 years participated in the
study. The participants from middle class family were 52.7% and upper were 14.4%. Their mothers were mostly
housewives (95.5%) and only 16% had academic education of ten years or more.
The mean (± SD) values of BMI, WHR, WHtR and FBG were 18.2 (± 2.9), 0.81
(± 0.07), 0.43 (± 0.05) and 5.26 (± 0.45) mmol/L respectively. Adiposity was
significantly higher in upper socio-economic class than the middle and lower
class, though no differences were observed in blood pressure and blood glucose
level. Of the illnesses, the most common were sinusitis (21.4%), tonsillitis (13.3%)
and toothache plus dental caries (10.7%).
Conclusions: The most common
illnesses were sinusitis, tonsillitis and dental caries. Anthropometric
measures indicated that adiposity was not uncommon in rural children. Though adiposity
was found higher among the upper than the lower socio-economic class, blood
pressure and blood glucose level showed no difference indicating equal risk of non-communicable
diseases (NCDs) irrespective of socio-economic class. These findings envisage that
the existing status of child health might lead to NCDs in adult life. We suggest
adiposity, blood pressure and blood glucose status of a high school cohort may be
prospectively followed for eventual future health events.
IMC J Med Sci 2020; 14(2): 007. EPub date: 07
March 2021.&amp;nbsp;&amp;nbsp;DOI: https://doi.org/10.3329/imcjms.v14i2.52828  
*Correspondence: Tanjima
Begum, Department of Epidemiology and Biostatistics, BIRDEM General Hospital,
Shabhag, Dhaka, Bangladesh. Email: tanjima1982@gmail.com
&amp;nbsp;
Introduction
There were substantial number of studies that addressed health of
children, adolescents and adults [1–5]. Some observed nutritional trend from
1975 to 2016 [1] and some found the childhood adiposity [3,6]. But there are
very few studies conducted on illness commonly encountered by school children
in rural communities of Bangladesh. There has been no published data neither in
rural nor even in the urban communities on illness nature of secondary schools.
This study was taken to determine the nature and extent of illnesses commonly affecting
rural school children. Additionally, the study investigated the association
between a) nutrition (adiposity) and socio-economic class, b) adiposity (BMI, WHR, WHtR) and fasting
blood glucose (FBG) status and c) adiposity and blood pressure (SBP - systolic
blood pressure, DBP - diastolic blood pressure).
&amp;nbsp;
Methods
The protocol was approved by the Ethical Review Committee of
Bangladesh Diabetes Somity (BADAS).
Site selection: The study was purposively conducted at
six selected schools of Santhia thana under Pabna district. These schools
enroll the children from remote villages not connected with roads. Most of the
children attend school on foot and in groups.
The local elected body of Vulbaria Union Council (UC) under
Santhia was communicated. The UC members agreed to cooperate. They suggested
the names of schools. The study team discussed the study procedure (clinical
history, anthropometry, blood pressure, clinical examination, fasting blood
glucose) in detail with the school teachers. The teachers agreed to volunteer
to communicate with the students and informed them the procedural details. The
students who showed their interest to participate in the study were enlisted by
the respective class teachers.
Enlistment of participants: The
school teachers made the list of willing participants. The students of class
five to class ten were considered eligible. The study team discussed with the
participants about the objectives and stepwise investigation procedure before
the day of investigation. The printed questionnaire sheet was explained to the participants.
They were advised to attend the school campus in the next morning in fasting
condition. 
Investigations:
Investigations included interviewing, anthropometry, blood pressure measurement,
clinical examination, estimation of blood glucose, determination of blood
grouping and proteinuria. 
Each participant was interviewed with the help of the class
teacher on: a) clinical history (present illness, medication if any, past
illness and treatment); b) mothers’
education and occupation; c) family income and number of family members for
assessment of social-economic
class.
After completion of the interviewing session each student was
investigated for a) anthropometry (height, weight, waist- and
hip-circumference; b) blood pressure (SBP, DBP); c) fasting blood glucose using
glucometer. The anthropometry measurements, blood pressure and fasting blood
glucose were determined as cited in the previous study [7]. Finally, blood grouping
was done using blood grouping test kit and a semi-quantitative&amp;nbsp;dipstick test kit was used for detection of proteinuria.
Then every participant was examined clinically. Both general and
systemic examinations were done by the two physicians of the team. General examination
determined any gross deformity, anemia, jaundice and edema. Systemic
examination included alimentary, respiratory, cardiovascular and
musculoskeletal system. Presence of abnormalities of vision (finger count and
color), ear (discharge), nose (polyp, septal deviation), throat (tonsils), oral
cavity (ulcer, spongy gum), teeth (decay/caries) and skin (scabies, ringworm, pigmentation)
were sought. 
Statistical analyses: The
socio-demographic data were presented in percentages. The illness prevalence
data were also presented in percentages. Unpaired t-test was applied to compare
the characteristics between boys and girls. All the quantitative variables were
shown as – a) mean with standard deviation, b) mean with 95% confidence
interval (CI). Comparisons of BMI, WHR, WHtR, SBP, DBP and FBG are shown
according to social class using ANOVA.
&amp;nbsp;
Results
A total of 1069
students (boys/girls = 392/677) volunteered the study. The mean age of
participants was 13.5 ± 1.47 years. Socio-demographic variables of the
participating students are shown in Table-1. More than half of the participants
were from the middle and less than a third were from the upper socio-economic
class. Almost a third of their mothers were illiterate. More than a half of the
mothers had no access to academic education though they knew how to put their
signature. Only 3.4% mothers had graduation equivalent to 12 or more years of
schooling. As regards mothers’ occupation, almost all were housewives (95.5%).
Very few had employment at local rural non-government organization (NGOs). The
mean family size of the children was 4.7 (95% CI: 4.63, 4.79).
&amp;nbsp;
Table-1:
Socio-demographic characteristics of the
participants (n = 1069) of school children 
&amp;nbsp;
Table-2 illustrates the biophysical characteristics of all
participants and compares these variables between boys and girls. They were the
students of academic class from VI (6th) to X (10th). The
mean (± SD) of age was 13.5 (± 1.47) (y); and their height, weight, waist-girth
and hip-girth were 153 (± 8.96) cm, 43.2 (± 9.10) kg, 65.3 (± 7.78) cm and 80.4
(± 7.76) cm, respectively. The comparisons between boys and girls showed, despite
significantly higher age in the boys, the girls had significantly higher BMI, SBP
and DBP; whereas, the boys had significantly higher WHR and FBG.
&amp;nbsp;
Table-2:
Characteristics of total participants (n
= 1069) including comparisons between boys and girls
Table-3:
Correlations among biophysical variables
controlling for age and sex
&amp;nbsp;
The investigated biophysical characteristics (age, height, weight, waist, hip, BMI, WHR,
WHtR, pulse, SBP, DBP, FBG) were put on view according to sex for each academic
class in Table-4a, 4b and 4c. The values were displayed in mean with 95%
confidence interval (CI).
&amp;nbsp;
Table-4a:
The biophysical characteristics are shown
according to sex by academic class (mean with 95% CI)
Table-4b: The biophysical
characteristics are shown according to sex by academic class (mean with 95% CI)

&amp;nbsp;
Table-4c:
The biophysical characteristics are shown
according to sex by academic class (mean with 95% CI)
&amp;nbsp;
Table-5 demonstrates the values of the anthropometry at 15th,
85th and 95th levels for possible lower and upper limits
of nutrition and adiposity. Likewise, the values of SBP, DBP and FBG at the
same levels (15th, 85th and 95th) may be used
to assess the trend of metabolic outcomes related to non-communicable diseases.
&amp;nbsp;
Table-5:
Anthropometric measures, blood pressure
and fasting blood glucose levels at 15th, 85th, 95th
percentiles are shown separately for male and female students
&amp;nbsp;
The complaints or illnesses presented or observed are shown in Table-6.
Of the otolaryngologic (ear, nose and throat) illnesses, sinusitis and
tonsillitis were the most common complaints or illnesses. Alimentary system
including orodental hygiene, though thought to be the most common, only a total
of 18% were observed; and of these, tooth decay (dental caries) was the highest
(10.7%). Only 711 participants were tested for the presence of proteinuria.
Gross proteinuria (3+) was found in 0.4%. For the musculoskeletal system, history
of fracture and plaster was observed in 9.3% though there was no deformity.
Bone deformity following fracture was found in 1.3%. Testing of blood group
revealed that the most common group was B+ve (33.4%), followed by O+ve (27.0%)
and A+ve (24.3%).
&amp;nbsp;
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