<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">FNS</journal-id><journal-title-group><journal-title>Food and Nutrition Sciences</journal-title></journal-title-group><issn pub-type="epub">2157-944X</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/fns.2021.122010</article-id><article-id pub-id-type="publisher-id">FNS-107182</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Biomedical&amp;Life Sciences</subject></subj-group></article-categories><title-group><article-title>
 
 
  Dual Burden of Malnutrition among Primary School Children in Myanmar
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Moh</surname><given-names>Moh Hlaing</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Mya</surname><given-names>Ohnamr</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Sandar</surname><given-names>Tun</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Thidar</surname><given-names>Khine</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Wah</surname><given-names>Wah Win</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Su</surname><given-names>Su Hlaing</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Hla</surname><given-names>Phyo Linn</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Khin</surname><given-names>Hnin Wint Phyu</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Nyein</surname><given-names>Nyein Win</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib></contrib-group><aff id="aff1"><addr-line>Nutrition Research Division, Department of Medical Research, Ministry of Health and Sports, Yangon, Republic of the Union of Myanmar</addr-line></aff><pub-date pub-type="epub"><day>09</day><month>02</month><year>2021</year></pub-date><volume>12</volume><issue>02</issue><fpage>115</fpage><lpage>123</lpage><history><date date-type="received"><day>17,</day>	<month>December</month>	<year>2020</year></date><date date-type="rev-recd"><day>15,</day>	<month>February</month>	<year>2021</year>	</date><date date-type="accepted"><day>18,</day>	<month>February</month>	<year>2021</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  <b>Background: </b>
  The distribution of childhood nutritional diseases is shifting from a predominance of under nutrition to a dual burden of under-and over nutrition in low and middle income countries. Rapid economic development and urbanization lead to an increase in overweight and obesity and diet-related chronic diseases. The co-existence of under-and over nutrition is double burden and this is a public health challenge for community. <b>Objective: </b>To find out the nutritional status of primary school children. <b>Method: </b>The study was school based descriptive study and conducted during November 2014 to February 2015 in basic primary schools, basic middle schools and basic high schools in urban and rural area of Yangon, Mandalay, Taungyi and Mawlamyaing. A total of (2937) Grade IV and Grade V students were measured for weight, height and 592 students were measured for haemoglobin by standard equipment and standard procedure. <b>Results: </b>The overall prevalence
  s
   of stunting, wasting, overweight, obesity and anaemia were 8.8%, 15%, 4.6% and 3.1% and 36.1%
   
  respectively. The prevalence
  s
   of stunting, over weight and obesity were more prevalent in boys and wasting and anaemia were more prevalent in girls. The result showed that the stunting was more prevalent in rural than in urban
   
  (7.5% in urban and 12.0% in rural). The prevalence
  s
   of overweight and obesity were higher in urban than rural area (overweight 5.3%
   
  in urban and 2
  .
  8% in rural, obesity 3.8% in urban and 0.9% in rural). Children residing in urban area had higher anthropometric parameter than rural children. <b>Conclusion: </b>The present study observed the coexistence of obesity, overweight and undernourishment (wasting and stunting) among Myanmar School children.
  The findings highlighted the need for continued health promotion efforts to improve nutritional status of primary school children.
 
</p></abstract><kwd-group><kwd>Dual Burden</kwd><kwd> Malnutrition</kwd><kwd> Primary School Children</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Background and Justification</title><p>The distribution of childhood nutritional diseases is shifting from a predominance of under nutrition to a dual burden of under- and over nutrition in low and middle-income countries. Rapid economic development and urbanization lead to an increase in overweight and obesity and diet-related chronic diseases. The co-existence of under- and over-nutrition is a double burden and this is a public health challenge for the community.</p><p>According to 2014 data, more than 1.9 billion 18 years and older adults worldwide, were overweight. More than 600 million were obese and 462 million were underweight. In the same year, 42 million children under 5 years old were overweight or obese. While 156 million were affected by stunting (low height-for-age) and 50 million children were affected by wasting (low weight-for-height) [<xref ref-type="bibr" rid="scirp.107182-ref1">1</xref>] .</p><p>Nearly half of deaths in children under five was due to poor nutrition, while low- and middle-income countries simultaneously rise in childhood overweight and obesity increasing at a rate 30% faster than in richer nations. This double burden of malnutrition can exist at the individual level (e.g. obesity with deficiency of one or various vitamins and minerals). At the household level, when a mother may be overweight or anaemic and a child or grandparent is underweight; at the population level, where there is a prevalence of both under-nutrition and overweight in the same community, nation or region.</p><p>These are just some of the examples of biological mechanisms, which along with environmental and social influences, are increasingly understood as important drivers in the global burden of malnutrition across the life course.</p><p>The Double Burden of Malnutrition (DBM) affects all countries, rich and poor. At the population level, women are most affected by the DB and overweight is prevalent than underweight women in most countries. The prevalence of DBM at the household level, with stunted children coexisting with overweight/obese women, is generally below 10 percent and is most commonly found in Latin American countries. At the individual level, the most common form of DBM seems to be energy over nutrition and iron deficiency, a combination that is found even in the United States [<xref ref-type="bibr" rid="scirp.107182-ref2">2</xref>] .</p><p>In 2010, the global prevalence rate of malnutrition among 5 - 14 years old school-age children prevalence of stunting, was approximately 28% (171 million children) according to the Growth and Assessment Surveillance Unit of the WHO [<xref ref-type="bibr" rid="scirp.107182-ref3">3</xref>] .</p><p>The overall prevalence of stunting was between 48% - 52% with an overall prevalence of underweight which was between 34% - 62% among school-age children from developing countries.</p><p>The SCN notes that among school-age children stunting and underweight are more prevalent than wasting. Simultaneously, childhood rates of obesity have increased dramatically [<xref ref-type="bibr" rid="scirp.107182-ref4">4</xref>] .</p><p>Although the prevalence is higher in developed countries, developing countries have greater absolute numbers of affected children and higher relative increases. Because of rapid economic development and urbanization, energy dense diets replace traditional diets due to nutrition transition. This has lead to an increase in overweight and obesity and diet-related chronic diseases. The coexistence of under- and over nutrition is double burden and this is a public health challenge for community.</p><p>Although an increased prevalence over weight obesity (OW/OB) was initially detected among adults [<xref ref-type="bibr" rid="scirp.107182-ref5">5</xref>] , it is also emerging as a public health issue for children and adolescents in transitional countries including Myanmar. Child and adolescent obesity is a strong predictor of adult obesity [<xref ref-type="bibr" rid="scirp.107182-ref6">6</xref>] , and the risk of OW/OB in this age group is increased if one or both parents is OW/OB [<xref ref-type="bibr" rid="scirp.107182-ref6">6</xref>] [<xref ref-type="bibr" rid="scirp.107182-ref7">7</xref>] . Prevalence estimates vary considerably depending on the country.</p><p>Since OW/OB children are prone to becoming OW/OB adults [<xref ref-type="bibr" rid="scirp.107182-ref6">6</xref>] they are also at high risk of non-communicable diseases in later life [<xref ref-type="bibr" rid="scirp.107182-ref8">8</xref>] . Besides, the rise in adolescent OW/OB has been matched by an increase in metabolic syndrome in this age group, a major risk factor to develop chronic disease [<xref ref-type="bibr" rid="scirp.107182-ref9">9</xref>] .</p><p>In Myanmar, there is limited source of magnitude of nutritional status of primary school children and research done on nutritional status of primary school children were only small scale survey. Therefore, this study aims to assess the magnitude of the problem of malnutrition (both under nutrition and over nutrition) among the primary school children.</p></sec><sec id="s2"><title>2. Materials and Method</title><sec id="s2_1"><title>2.1. Study Design</title><p>The study design was cross sectional descriptive study.</p></sec><sec id="s2_2"><title>2.2. Study Place and Time</title><p>The study was conducted in 17 Basic Education Primary Schools, Basic Education Middle Schools and Basic Education High Schools in downtown, peri-urban and rural area from Yangon, Mandalay, Mawlamyaing and Taunggyi during November 2014 to February 2015.</p></sec><sec id="s2_3"><title>2.3. Study Population</title><p>Grade IV and Grade V primary school children from selected schools.</p></sec><sec id="s2_4"><title>2.4. Sample Size Calculation</title><p>Using the data on prevalence of underweight among primary school children in Yangon Region 40% (2009) [<xref ref-type="bibr" rid="scirp.107182-ref10">10</xref>] , sample size will be 369, and calculated as follows.</p><p>n = 1.96 &#215; 1.96 &#215; p q d 2 = 369</p><p>(Confidence level 95% and absolute relative precision of 5%).</p><p>In each Township 390 female students and 390 male students will be recruited. Therefore total sample size is 3120 (780 &#215; 4 townships).</p></sec><sec id="s2_5"><title>2.5. Sampling</title><p>To get representative data on nutritional status of primary school children, one capital township from four regions of Myanmar (Delta, Costal, Plain and Hilly regions) was chosen. Yangon for Delta region, Mandalay for Plain region, Mawlamyaing for Coastal region and Taunggyi for Hilly region were chosen purposively. Six schools from Yangon, three schools from Mandalay, four schools from Taungyi and four schools from Mawlamyaing were chosen to get required sample size depend upon number of Grade IV and Grade V students in selected schools with the help of township education officer in each township. With the help of Headmasters /Headmistress and teachers, Grade IV and Grade V students were chosen to participate in the study. All Grade IV and Grade V students in each selected were measure for height and weight. Primary schools with school milk programme were excluded. Every 5<sup>th</sup> student were checked for haemoglobin level from finger tip blood with Haemocue 201. A total of 592 students were measured.</p></sec><sec id="s2_6"><title>2.6. Method</title><p>Informed consents from children and parents of all selected primary school were taken. School children who do not want to participate in this research will be excluded.</p><p>Interviewers have been trained for interviewing questionnaires and anthropometric measurements with standard methods. Background characteristics of children were assessed by structured questionnaire. Height, weight of 2937 students school children were measured by standard procedure. The weight of students will be measured in kilogram by using Seca bathroom scale without wearing slippers and heavy clothes, reading is taken for nearest 0.1 kg. Height of the school children was measured by height measuring tape (Seca body meter 206) and waist circumferences of school children were measured with Seca 201.</p><p>For the assessment of child nutritional status, child who has a Z-score of height-for-age, BMI-for-age below (&#215;2 SD) of the median of the WHO reference population was considered as stunted and wasted) respectively. A Z-score for BMI-for-age above (+1 SD) and (+2 SD) of the median of the WHO reference population was defined as overweight and obesity respectivel [<xref ref-type="bibr" rid="scirp.107182-ref11">11</xref>] . The anaemia cut-off for 5 - 11 years old children is less than 11.5 g/l [<xref ref-type="bibr" rid="scirp.107182-ref12">12</xref>] .</p><p>All the haemoglobin results were informed to the teachers and the parents. Children with anaemia were treated with iron supplement and children with severe anaemia were transferred to School Health Medical Officer.</p></sec></sec><sec id="s3"><title>3. Data Entry and Analysis</title><p>Data entry and analysis was done with Epi Data and SPSS 11.0 Univariate categorical was presented with frequency and percent tables and that of continuous variables was presented with mean &#177; SD. Statistical significance was set at P &lt; 0.05.</p></sec><sec id="s4"><title>4. Ethical Considerations</title><p>The proposal was approved by the Institutional Ethical Review Committee, Department of Medical Research.</p><sec id="s4_1"><title>4.1. Findings</title><p>1) Background characteristics of primary school children</p><p>Among 2937 primary school students, 52.0% and 48.0% of students were boys and girls respectively. The mean age of the boy and girl students were 9.61 &#177; 0.95 years with minimum 7.1 years and maximum 16.6 years.</p><p><xref ref-type="table" rid="table1">Table 1</xref> illustrated that more than half of the school children were boys and Grade V students.</p><p><xref ref-type="table" rid="table2">Table 2</xref> described the anthropometric parameter of the children, children residing in urban area had higher anthropometric parameter than rural children and that of boys are higher than girls.</p><p><xref ref-type="table" rid="table3">Table 3</xref> showed that the overall prevalence of wasting, stunting, overweight, obesity and aneaemia were 15.0%, 8.8%, 4.6%, 3.1% and 36.1% respectively. The prevalence of stunting, over weight and obesity were more prevalent in boys and wasting and anaemia were more prevalent in girls.</p><p>In <xref ref-type="table" rid="table4">Table 4</xref>, the stunting was more prevalent in rural than in urban and the overall prevalence of wasting was not much different in urban and rural. The prevalence of overweight and obesity was higher in urban than rural area.</p><p><xref ref-type="fig" rid="fig1">Figure 1</xref> illustrated that the mean haemoglobin level of boys did not different</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Distribution of primary school children by Township</title></caption><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle" >Yangon (n = 728)</th><th align="center" valign="middle" >Mandalay (n = 764)</th><th align="center" valign="middle" >Taungyi (n = 730)</th><th align="center" valign="middle" >Mawlamyaing (n = 715)</th><th align="center" valign="middle" >N = 2937</th></tr></thead><tr><td align="center" valign="middle" >Sex Boys Girls</td><td align="center" valign="middle" >382 (52.5%) 346 (47.5%)</td><td align="center" valign="middle" >382 (50.0%) 382 (50.0%)</td><td align="center" valign="middle" >387 (53.0%) 343 (47.0%)</td><td align="center" valign="middle" >376 (52.6%) 339 (47.4%)</td><td align="center" valign="middle" >1527 (52.0%) 1410 (48.0%)</td></tr><tr><td align="center" valign="middle" >Standard Grade IV GradeV</td><td align="center" valign="middle" >392 (53.8%) 336 (46.2%)</td><td align="center" valign="middle" >351 (45.9%) 413 (54.1%)</td><td align="center" valign="middle" >322 (44.1%) 408 (55.9%)</td><td align="center" valign="middle" >368 (51.5%) 347 (48.5%)</td><td align="center" valign="middle" >1433 (48.8%) 1504 (51.2%)</td></tr><tr><td align="center" valign="middle" >Urban Peri-urban Rural</td><td align="center" valign="middle" >310 (42.5%) 211 (29.0%) 207 (28.4%)</td><td align="center" valign="middle" >234 (30.6%) 320 (41.9%) 210 (27.5%)</td><td align="center" valign="middle" >271 (37.1%) 263 (36.0%) 196 (26.8%)</td><td align="center" valign="middle" >312 (43.6%) 217 (30.3%) 186 (26.0%)</td><td align="center" valign="middle" >1127 (38.4%) 799 (27.2%) 1011 (34.4%)</td></tr></tbody></table></table-wrap><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Anthropometric measurements of primary school children</title></caption><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle" >Sex</th><th align="center" valign="middle" >Mean height (SD) cm</th><th align="center" valign="middle" >Mean weight (SD)Kg</th><th align="center" valign="middle" >Mean BMI (SD)Kg/m<sup>2</sup></th></tr></thead><tr><td align="center" valign="middle" >Yangon Mandalay Taungyi Mawlamyaing Urban Rural Total Total</td><td align="center" valign="middle" >Boys Girls Boys Girls Boys Girls Boys Girls Boys Girls Boys Girls Boys Girls Urban Rural</td><td align="center" valign="middle" >132.6 (6.9) 131.8 (6.8) 131.1 (6.9) 131.5 (7.5) 131.1 (7.3) 130.2 (7.0) 131.3 (7.5) 130.2 (7.0) 131.6 (6.6) 131.8 (6.9) 131.6 (7.6) 130.3 (6.9) 131.6 (6.9)* 131.4 (6.9) 131.7 (6.7)** 130.9 (7.3)</td><td align="center" valign="middle" >28.4 (7.7) 26.5 (6.3) 25.8 (5.9) 25.9 (5.6) 26.8 (5.6) 26.0 (5.4) 27.0 (6.9) 27.1 (6.3) 27.1 (6.3) 26.7 (6.1) 26.8 (6.2) 25.4 (5.1) 26.9 (6.6)** 26.4 (5.9) 26.9 (6.4)** 26.1 (5.7)</td><td align="center" valign="middle" >15.9 (3.1) 15.1 (2.6) 14.9 (2.2) 14.9 (2.2) 15.4 (1.9) 15.2 (1.9) 15.5 (2.8) 15.2 (2.4) 5.4 (2.7) 5.2 (2.4) 15.3 (2.1) 15.2 (2.4) 15.4 (2.6)** 15.1 (2.3) 15.3 (2.6)** 15.0 (2.0)</td></tr></tbody></table></table-wrap><p>*P &lt; 0.05. **P &lt; 0.0.</p><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Distribution of nutritional status of primary school children by sex</title></caption><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle" >Stunting</th><th align="center" valign="middle" >Wasting</th><th align="center" valign="middle" >Overweight</th><th align="center" valign="middle" >Obesity</th><th align="center" valign="middle" >Anaemia</th></tr></thead><tr><td align="center" valign="middle" >Boys</td><td align="center" valign="middle" >9.1%</td><td align="center" valign="middle" >14.1%</td><td align="center" valign="middle" >5.1%</td><td align="center" valign="middle" >4.0%</td><td align="center" valign="middle" >32.8%</td></tr><tr><td align="center" valign="middle" >Girls</td><td align="center" valign="middle" >8.5%</td><td align="center" valign="middle" >16.1%</td><td align="center" valign="middle" >4.0%</td><td align="center" valign="middle" >1.9%</td><td align="center" valign="middle" >39.5%</td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >8.8%</td><td align="center" valign="middle" >15.0%</td><td align="center" valign="middle" >4.6%</td><td align="center" valign="middle" >3.1%</td><td align="center" valign="middle" >36.1%</td></tr></tbody></table></table-wrap><table-wrap id="table4" ><label><xref ref-type="table" rid="table4">Table 4</xref></label><caption><title> Distribution of nutritional status of primary school children according to urban and rural</title></caption><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle"  colspan="2"  >Yangon</th><th align="center" valign="middle"  colspan="2"  >Mandalay (n = 764)</th><th align="center" valign="middle"  colspan="2"  >Taungyi (n = 730)</th><th align="center" valign="middle"  colspan="2"  >Mawlamyaing (n = 715)</th><th align="center" valign="middle"  colspan="2"  >Total (N = 2937)</th><th align="center" valign="middle" ></th></tr></thead><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Urban n = 521</td><td align="center" valign="middle" >Rural n = 207</td><td align="center" valign="middle" >Urban n = 554</td><td align="center" valign="middle" >Rural n = 210</td><td align="center" valign="middle" >Urban N = 534</td><td align="center" valign="middle" >Rural n = 196</td><td align="center" valign="middle" >Urban n = 529</td><td align="center" valign="middle" >Rural n = 186</td><td align="center" valign="middle" >Urban n = 2138</td><td align="center" valign="middle"  colspan="2"  >Rural n = 799</td></tr><tr><td align="center" valign="middle" >Wasting</td><td align="center" valign="middle" >59 (11.7%)</td><td align="center" valign="middle" >42 (20.3%)</td><td align="center" valign="middle" >118 (21.3%)</td><td align="center" valign="middle" >32 (15.2%)</td><td align="center" valign="middle" >59 (11.0%)</td><td align="center" valign="middle" >6 (3.1%)</td><td align="center" valign="middle" >86 (16.2%)</td><td align="center" valign="middle" >37 (19.9%)</td><td align="center" valign="middle" >324 (15.2%)</td><td align="center" valign="middle"  colspan="2"  >117 (14.6)</td></tr><tr><td align="center" valign="middle" >Stunting</td><td align="center" valign="middle" >26 (5%)</td><td align="center" valign="middle" >37 (17.9%)</td><td align="center" valign="middle" >52 (9.4%)</td><td align="center" valign="middle" >18 (8.6%)</td><td align="center" valign="middle" >47 (8.8%)</td><td align="center" valign="middle" >15 (7.6%)</td><td align="center" valign="middle" >38 (7.2%)</td><td align="center" valign="middle" >26 (14.0%)</td><td align="center" valign="middle" >163 (7.5%)</td><td align="center" valign="middle"  colspan="2"  >96 (12.0%)</td></tr><tr><td align="center" valign="middle" >Over-weight</td><td align="center" valign="middle" >43 (8.3%)</td><td align="center" valign="middle" >1 (0.5%)</td><td align="center" valign="middle" >22 (4.0%)</td><td align="center" valign="middle" >3 (1.4%)</td><td align="center" valign="middle" >10 (1.9%)</td><td align="center" valign="middle" >8 (4.1%)</td><td align="center" valign="middle" >38 (7.2%)</td><td align="center" valign="middle" >10 (5.4%)</td><td align="center" valign="middle" >113 (5.3%)</td><td align="center" valign="middle"  colspan="2"  >22 (2.8%)</td></tr><tr><td align="center" valign="middle" >Obesity</td><td align="center" valign="middle" >38 (7.4%)</td><td align="center" valign="middle" >1 (0.5%)</td><td align="center" valign="middle" >16 (2.9%)</td><td align="center" valign="middle" >1 (0.5%)</td><td align="center" valign="middle" >9 (1.7%)</td><td align="center" valign="middle" >3 (1.5%)</td><td align="center" valign="middle" >19 (3.6%)</td><td align="center" valign="middle" >2 (1.1%)</td><td align="center" valign="middle" >82 (3.8%)</td><td align="center" valign="middle"  colspan="2"  >7 (0.9%)</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr></tbody></table></table-wrap><p>from that of the girls. The mean (SD) haemoglobin level of boys was 11.9 (1.0) g/dL and that of girls was 11.7 (1.0) g/dL.</p></sec></sec><sec id="s5"><title>4.2. Discussion</title><p>The present study revealed that the coexistence of under-nutrition and over-nutrition among school children in an urban and rural area of Myanmar. The overall prevalence of stunting, wasting, overweight and obesity and anaemia was 8.8%, 15%, 4.6%, 3.1% and 36.1% respectively.</p><p>The study conducted in Hlaing Thar Yar township, Yangon Region in 2006, the prevalence of stunting, wasting and anaemia among primary school children were 28.9%, 39.9% and 58.8% respectively [<xref ref-type="bibr" rid="scirp.107182-ref13">13</xref>] . In 2010, the prevalence of stunting, thinness and overweight among peri-urban school children were 19.7%, 46% and 2.6% in Hlaing tharyar township [<xref ref-type="bibr" rid="scirp.107182-ref14">14</xref>] . The prevalence of stunting, wasting and anaemia was high in the previous study in Hlaing tharyar township because Hlaing tharyar township is an urban slum of Yangon Region and most of the population residing at that are were low socioeconomic status.</p><p>The result showed that the stunting was more prevalent in rural than in urban (7.5% in Urban and 12.0% in rural). This result was similar to the Vietnamese school children in SEANUTS study in 2011 (8.9% in urban and 17.7% in rural) [<xref ref-type="bibr" rid="scirp.107182-ref15">15</xref>] . Prevalence of wasting was also higher in rural than urban in Vietnamese children [<xref ref-type="bibr" rid="scirp.107182-ref15">15</xref>] . In this study, the overall prevalence was not much differed in urban and rural (15.2% in urban and 14.6% in rural). The prevalence of malnutrition was higher in rural than urban especially stunting. These results agree with Senger and Hamulka (1998): the nutrition status of town children was better than that of rural children [<xref ref-type="bibr" rid="scirp.107182-ref16">16</xref>] .</p><p>The prevalence of overweight and obesity was higher in urban than the rural area (Prevalence of overweight and obesity were 5.3% and 3.8% in urban and 2.8% and 0.9% in rural). This finding was also similar with the SEANUTS study in Vietnam, nearly 29% of the Vietnamese urban children were either overweight or obese when compared with 4% of the overweight children and 1.6% of the obese children in the rural areas [<xref ref-type="bibr" rid="scirp.107182-ref15">15</xref>] . The findings of this study heightened that over-nutrition was an urban phenomenon but the dual burden was found in both urban a rural area of different four regions.</p><p>The result of the prevalence of anaemia was 36.1% and it indicated that this situation was in moderate public health significance among populations [<xref ref-type="bibr" rid="scirp.107182-ref12">12</xref>] . The prevalence was a little bit higher in girls than boys but the mean haemoglobin level was not much different. This finding was in agreement with the SEANUTS study in Vietnam but the public health importance of anaemia in this study was in the mild category [<xref ref-type="bibr" rid="scirp.107182-ref12">12</xref>] [<xref ref-type="bibr" rid="scirp.107182-ref15">15</xref>] .</p><p>The values of all the anthropometric parameters were significantly higher for urban children than for rural children (p &lt; 0.01). All the anthropometric parameters of the boy were significantly higher than that of girls (P &lt; 0.05 for mean height and P &lt; 0.01 for mean weight and BMI). The same findings were also found in the Vietnamese school children in SEANUTS study [<xref ref-type="bibr" rid="scirp.107182-ref15">15</xref>] .</p><p>To summarize, until recently, Myanmar has considered undernutrition to be a major problem, and nutrition supplementation has been the key intervention. The present study observed the coexistence of obesity, overweight and undernourishment (wasting and stunting) among Myanmar school children.</p></sec><sec id="s6"><title>5. Conclusions and Recommendations</title><p>In conclusion, the findings from this study can provide baseline data for nutrition surveillance among primary school children and also provide comparable data on the nutritional status (undernutrition and obesity) of primary school children within the South East Asia region. Further longitudinal surveillance should be done and will provide a better insight into this issue and will help define the trends of malnutrition among primary school children in Myanmar. This study can help the surveillance effort to address the double burden of malnutrition that is emerging that needs to be concurrently addressed.</p><p>The majority of these initiatives and efforts are aimed at 5-year-old children, in line with the recommendations of the UN agencies. Evidence-based research clearly states that the most cost-effective interventions with long-term potential are those targeting early child development [<xref ref-type="bibr" rid="scirp.107182-ref17">17</xref>] . The strategy for the prevention and management of malnutrition among school children should be implemented. Intervention should be strengthened to address the double burden of malnutrition across the life-course not only on undernutrition. Recommendations for strategies to address the DBM, adaptable to the country-specific trend are needed.</p></sec><sec id="s7"><title>6. Limitation of the Study</title><p>The prevalence of malnutrition from this study could not represent the overall nutritional status of schoolchildren in Myanmar because the study was conducted in four capital cities to represent the geographical regions of Myanmar.</p></sec><sec id="s8"><title>Conflicts of Interest</title><p>The authors declare no conflicts of interest regarding the publication of this paper.</p></sec><sec id="s9"><title>Cite this paper</title><p>Hlaing, M.M., Ohnamr, M., Tun, S., Khine, T., Win, W.W., Hlaing, S.S., Linn, H.P., Phyu, K.H.W. and Win, N.N. (2021) Dual Burden of Malnutrition among Primary School Children in Myanmar. 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