<?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">OALibJ</journal-id><journal-title-group><journal-title>Open Access Library Journal</journal-title></journal-title-group><issn pub-type="epub">2333-9705</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/oalib.1109745</article-id><article-id pub-id-type="publisher-id">OALibJ-123213</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><subject> Business&amp;Economics</subject><subject> Chemistry&amp;Materials Science</subject><subject> Computer Science&amp;Communications</subject><subject> Earth&amp;Environmental Sciences</subject><subject> Engineering</subject><subject> Medicine&amp;Healthcare</subject><subject> Physics&amp;Mathematics</subject><subject> Social Sciences&amp;Humanities</subject></subj-group></article-categories><title-group><article-title>
 
 
  Prevalence of Malnutrition among Preschool Children in the Katuba Health District. Case of the Katuba General Reference Hospital in the Democratic Republic of Congo
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>André</surname><given-names>Nyembo Shimba</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>Christian</surname><given-names>Antoine Mulimbi</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Danny</surname><given-names>Mwadi Kilemba</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Prosper</surname><given-names>Pamba Mazomena</given-names></name><xref ref-type="aff" rid="aff4"><sup>4</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Pierrot</surname><given-names>Ilunga Musaya</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>Delphin</surname><given-names>Monga Mwenze</given-names></name><xref ref-type="aff" rid="aff5"><sup>5</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Augustin</surname><given-names>Kalume Tshomba</given-names></name><xref ref-type="aff" rid="aff4"><sup>4</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Dressen</surname><given-names>Ilunga Makonga</given-names></name><xref ref-type="aff" rid="aff6"><sup>6</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Dieu</surname><given-names>Merci Kabila Mukala</given-names></name><xref ref-type="aff" rid="aff4"><sup>4</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Dicta</surname><given-names>Mwamba Mulobe</given-names></name><xref ref-type="aff" rid="aff4"><sup>4</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Danny</surname><given-names>Mufite Kapya</given-names></name><xref ref-type="aff" rid="aff4"><sup>4</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Berth</surname><given-names>Tshikala Kosa</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref><xref ref-type="aff" rid="aff7"><sup>7</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Martin</surname><given-names>Banza Mwana Bute</given-names></name><xref ref-type="aff" rid="aff4"><sup>4</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Felly</surname><given-names>Kalenga Ngoy</given-names></name><xref ref-type="aff" rid="aff4"><sup>4</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Bienfait</surname><given-names>Mwarabu Much’Apa</given-names></name><xref ref-type="aff" rid="aff8"><sup>8</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Abdon</surname><given-names>Mukalay wa Mukalay</given-names></name><xref ref-type="aff" rid="aff8"><sup>8</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Simon</surname><given-names>Ilunga Kandolo</given-names></name><xref ref-type="aff" rid="aff8"><sup>8</sup></xref></contrib></contrib-group><aff id="aff5"><addr-line>Faculty of Social Sciences, University of Kamina, Kamina, The Democratic Republic of Congo</addr-line></aff><aff id="aff2"><addr-line>University of Lubumbashi, Lubumbashi, The Democratic Republic of Congo</addr-line></aff><aff id="aff7"><addr-line>Faculty of Medicine, University of Lubumbashi, Lubumbashi, The Democratic Republic of Congo</addr-line></aff><aff id="aff3"><addr-line>Faculty of Economics, University of Kamina, Kamina, The Democratic Republic of Congo</addr-line></aff><aff id="aff8"><addr-line>School of Public Health, University of Lubumbashi, Lubumbashi, The Democratic Republic of the Congo</addr-line></aff><aff id="aff1"><addr-line>School of Public Health, University of Kamina, Kamina, The Democratic Republic of Congo</addr-line></aff><aff id="aff4"><addr-line>Manono Higher Institute of Medical Techniques, Manono, The Democratic Republic of Congo</addr-line></aff><aff id="aff6"><addr-line>Faculty of Medicine, University of Kamina, Kamina, The Democratic Republic of Congo</addr-line></aff><pub-date pub-type="epub"><day>02</day><month>02</month><year>2023</year></pub-date><volume>10</volume><issue>02</issue><fpage>1</fpage><lpage>9</lpage><history><date date-type="received"><day>10,</day>	<month>January</month>	<year>2023</year></date><date date-type="rev-recd"><day>20,</day>	<month>February</month>	<year>2023</year>	</date><date date-type="accepted"><day>23,</day>	<month>February</month>	<year>2023</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>
 
 
  Introduction: Malnutrition is one of the main causes of mortality in Africa among children aged from 0 to 5 years old. It is a real public health problem. Methodology: We conducted a cross-sectional study on malnutrition in preschool children at the Katuba General Reference Hospital. Results: Edema was present in 25% of cases and 73 or 42.69% of the children were in the age group of 13 to 18 months; 69.59% were females. We observed that 58.48% of the children were vaccinated against 41.52 who were not vaccinated. Many parents of children were married (52.6%). Most parents had a liberal profession (53.8%) parents with a liberal profession were in the majority (53.8%). Moderate acute malnutrition represented 9.36% according to Z-score Weight for age and 12.28% Severe acute malnutrition according to arm circumference. Conclusion: Malnutrition remains a scourge in Lubumbashi. It is important that a communication campaign be favored to promote local foods rich in essential elements, accessible to fight against malnutrition.
 
</p></abstract><kwd-group><kwd>Katuba</kwd><kwd> General Referral Hospital</kwd><kwd> Malnutrition Preschool Age</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>In developing countries, child malnutrition and developmental delays are two major public health challenges. To realize the vision of the Sustainable Development Goals within a broader health perspective, early identification of developmental delays and rapid intervention is essential (Saleem et al., 2021) [<xref ref-type="bibr" rid="scirp.123213-ref1">1</xref>] .</p><p>Severe acute malnutrition (SAM) in children under five is an important public health problem due to the associated high mortality and long-term health consequences. Research on the dietary causes of SAM, in particular the role and relative importance of dietary protein, in the etiology of edematous malnutrition, has given rise to much debate and controversy (Bharati-Kulkarni and Raja-Sriswan-Mamidi, 2019) [<xref ref-type="bibr" rid="scirp.123213-ref2">2</xref>] .</p><p>Protein-energy malnutrition is a major public health problem in low-income countries. It contributes significantly to the increase in mortality among children aged 0 - 59 months (Ngandu-wa-Ngandu et al., 2021) [<xref ref-type="bibr" rid="scirp.123213-ref3">3</xref>] .</p><p>In developing countries, feeding practices are very often inadequate and incompatible with the recommendations of the World Health Organization (WHO) (World Health Organization, 2001) [<xref ref-type="bibr" rid="scirp.123213-ref4">4</xref>] .</p></sec><sec id="s2"><title>2. Methodology</title><sec id="s2_1"><title>2.1. Study Framework</title><p>Our study will be conducted at the General Reference Hospital of Katuba, in the Provincial Division of Haut Katanga in the Democratic Republic of Congo.</p><p>This study was carried out at the KATUBA General Reference Hospital.</p><p>We conducted a cross-sectional descriptive observational study. The documentary review served as a technique for data collection. This study will cover a period of 6 months, from 01/01 2022 to 30/06/2022.</p></sec><sec id="s2_2"><title>2.2. Study Population</title><p>Malnourished children of preschool age and received at the General Reference Hospital of Katuba constituted our study population.</p></sec><sec id="s2_3"><title>2.3. Inclusion and Exclusion Criteria</title><p>Were included in our study, any malnourished child of preschool age and received at the General Reference Hospital of Katuba during our study period from 01/01 2022 to 30/06/2022.</p><p>Were not included in our study, any malnourished child of preschool age and received at the General Reference Hospital of Katuba outside our study period, i.e. from 01/01 2022 to 30/06/2022, any child malnourished children of preschool age received at the General Reference Hospital of Katuba during our study period but for whom certain variables of interest are missing, as well as any malnourished child received at the General Reference Hospital of Katuba during our study period but whose age is greater than Five (5) years.</p></sec><sec id="s2_4"><title>2.4. Sampling and Sample Size</title><p>Our sampling was exhaustive, and its size is made up of all the malnourished children who were received at the General Reference Hospital of Katuba during our study period and whose file is complete.</p><p>We collected 171 children received in preschool consultation at the Katuba General Reference Hospital during our study period. It should be noted that 351 children were identified at the level of the preschool consultation service at the general reference hospital of Katuba during our study period.</p></sec><sec id="s2_5"><title>2.5. Data Collection Materials</title><p>A sheet made up of the variables of interest was created for the collection and these variables come from the various sheets and registers existing at the center for the treatment of malnourished children.</p><p>We also used a ballpoint pen, pencil, eraser, and a register book.</p></sec><sec id="s2_6"><title>2.6. Statistical Analysis Methods</title><p>Frequency analyzes and proportions were performed (univariate analyses) for the qualitative variables. The mean and the standard deviation were calculated for the quantitative variables.</p><p>We carried out a statistical analysis of the data using Epi Info software version 7.2.5.0, ENA and Excel 2013 which allowed us to present the results in the form of tables and figures, the Mendeley software among us to generate the references.</p></sec></sec><sec id="s3"><title>3. Results</title><p>We carried out a statistical analysis of the data using Epi Info software version 7.2.5.0, ENA and Excel 2013 which allowed us to present the results in the form of tables and figures, the Mendeley software among us to generate the references.</p><p><xref ref-type="table" rid="table1">Table 1</xref> tells us that 73 or 42.69% of the children were in the age group of 13 to 18 months, followed by a group of 6 to 12 months with 64 or 37.43%.</p><p>As shown in <xref ref-type="table" rid="table2">Table 2</xref>, nearly 7 out of 10 children (119) or 69.59% of children received in preschool consultation at the Katuba General Reference Hospital were female against male with 78 or 45.61%. Sex ratio M/F = 0.8.</p><p>As shown in <xref ref-type="table" rid="table3">Table 3</xref>, most of children live in the commune of Katuba (69.6%) against those who live in the commune of Kampemba (2.3%).</p><p>Regarding the vaccination status, 58.48% of the children were vaccinated against 41.52 who were not vaccinated (<xref ref-type="table" rid="table4">Table 4</xref>).</p><p>As shown in <xref ref-type="table" rid="table5">Table 5</xref>, the majority of parents of children were married (52.6%) versus single (13.5%).</p><p>As shown in <xref ref-type="table" rid="table6">Table 6</xref>, the majority of parents had a liberal profession (53.8%) parents with a liberal profession were in the majority (53.8%).</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Distribution of children by age</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Ages in months Number</th><th align="center" valign="middle" >Frequency</th><th align="center" valign="middle" >Percentage</th></tr></thead><tr><td align="center" valign="middle" >6 to 12</td><td align="center" valign="middle" >64</td><td align="center" valign="middle" >37.43</td></tr><tr><td align="center" valign="middle" >13 to 18</td><td align="center" valign="middle" >73</td><td align="center" valign="middle" >42.69</td></tr><tr><td align="center" valign="middle" >19 mois et plus</td><td align="center" valign="middle" >34</td><td align="center" valign="middle" >19.88</td></tr></tbody></table></table-wrap><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Distribution of children by gender</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Gender</th><th align="center" valign="middle" >Frequency</th><th align="center" valign="middle" >Percentage</th></tr></thead><tr><td align="center" valign="middle" >F&#233;minin</td><td align="center" valign="middle" >93</td><td align="center" valign="middle" >54.39</td></tr><tr><td align="center" valign="middle" >Masculin</td><td align="center" valign="middle" >78</td><td align="center" valign="middle" >45.61</td></tr></tbody></table></table-wrap><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Distribution of children by municipality</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Municipality</th><th align="center" valign="middle" >Frequency</th><th align="center" valign="middle" >Percentage</th></tr></thead><tr><td align="center" valign="middle" >Annexe</td><td align="center" valign="middle" >34</td><td align="center" valign="middle" >19.88</td></tr><tr><td align="center" valign="middle" >Kampemba</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >2.34</td></tr><tr><td align="center" valign="middle" >Katuba</td><td align="center" valign="middle" >119</td><td align="center" valign="middle" >69.59</td></tr><tr><td align="center" valign="middle" >Kenya</td><td align="center" valign="middle" >14</td><td align="center" valign="middle" >8.19</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 children according to the vaccination schedule</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Vaccination schedule</th><th align="center" valign="middle" >Frequency</th><th align="center" valign="middle" >Percentage</th></tr></thead><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >71</td><td align="center" valign="middle" >41.52</td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >100</td><td align="center" valign="middle" >58.48</td></tr></tbody></table></table-wrap><table-wrap id="table5" ><label><xref ref-type="table" rid="table5">Table 5</xref></label><caption><title> Distribution of children according to marital status of parents</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Marital status</th><th align="center" valign="middle" >Frequency</th><th align="center" valign="middle" >Percentage</th></tr></thead><tr><td align="center" valign="middle" >Single</td><td align="center" valign="middle" >23</td><td align="center" valign="middle" >13.45</td></tr><tr><td align="center" valign="middle" >Divorce</td><td align="center" valign="middle" >40</td><td align="center" valign="middle" >23.39</td></tr><tr><td align="center" valign="middle" >Married</td><td align="center" valign="middle" >90</td><td align="center" valign="middle" >52.63</td></tr><tr><td align="center" valign="middle" >Widow or widower</td><td align="center" valign="middle" >18</td><td align="center" valign="middle" >10.53</td></tr></tbody></table></table-wrap><p><xref ref-type="table" rid="table7">Table 7</xref> indicates 30.4% of mild nutrition according to Z-score Weight for age.</p><p>As shown in <xref ref-type="table" rid="table8">Table 8</xref>, mild malnutrition represents 29.8% according to height-for-age Z-score.</p><p><xref ref-type="table" rid="table9">Table 9</xref> indicates that 75 children out of 171 had presented a Z-score normal height according to weight-for-height Z-score.</p><p><xref ref-type="table" rid="table1">Table 1</xref>0 shows that 121 or 70.76% of children had mild malnutrition, followed by moderately acutely malnourished children with 29 or 16.96%.</p><table-wrap id="table6" ><label><xref ref-type="table" rid="table6">Table 6</xref></label><caption><title> Distribution of children according to parents’ profession</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Profession</th><th align="center" valign="middle" >Frequency</th><th align="center" valign="middle" >Percentage</th></tr></thead><tr><td align="center" valign="middle" >State agent</td><td align="center" valign="middle" >40</td><td align="center" valign="middle" >23.39</td></tr><tr><td align="center" valign="middle" >Farmer</td><td align="center" valign="middle" >27</td><td align="center" valign="middle" >15.79</td></tr><tr><td align="center" valign="middle" >Guardian</td><td align="center" valign="middle" >12</td><td align="center" valign="middle" >7.02</td></tr><tr><td align="center" valign="middle" >Liberal</td><td align="center" valign="middle" >92</td><td align="center" valign="middle" >53.8</td></tr></tbody></table></table-wrap><table-wrap id="table7" ><label><xref ref-type="table" rid="table7">Table 7</xref></label><caption><title> Distribution of respondents according to Z-score Weight for age</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Z-score Weight for age</th><th align="center" valign="middle" >Frequency</th><th align="center" valign="middle" >Percentage</th></tr></thead><tr><td align="center" valign="middle" >Moderate acute malnutrition (Z-score between −3 to −2)</td><td align="center" valign="middle" >16</td><td align="center" valign="middle" >9.36</td></tr><tr><td align="center" valign="middle" >Severe acute malnutrition (Z-score &lt; −3)</td><td align="center" valign="middle" >7</td><td align="center" valign="middle" >4.09</td></tr><tr><td align="center" valign="middle" >Mild malnutrition (Z-score between −2 to −1)</td><td align="center" valign="middle" >52</td><td align="center" valign="middle" >30.41</td></tr><tr><td align="center" valign="middle" >Normal (Z-score ≥ −1)</td><td align="center" valign="middle" >96</td><td align="center" valign="middle" >56.14</td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >171</td><td align="center" valign="middle" >100</td></tr></tbody></table></table-wrap><table-wrap id="table8" ><label><xref ref-type="table" rid="table8">Table 8</xref></label><caption><title> Distribution of respondents according to height-for-age Z-score</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Height-for-age Z-score</th><th align="center" valign="middle" >Frequency</th><th align="center" valign="middle" >Percentage</th></tr></thead><tr><td align="center" valign="middle" >Moderate acute malnutrition (Z-score between −3 to −2)</td><td align="center" valign="middle" >25</td><td align="center" valign="middle" >14.62</td></tr><tr><td align="center" valign="middle" >Severe acute malnutrition (Z-score &lt; −3)</td><td align="center" valign="middle" >18</td><td align="center" valign="middle" >10.53</td></tr><tr><td align="center" valign="middle" >Mild malnutrition (Z-score between −2 to −1)</td><td align="center" valign="middle" >51</td><td align="center" valign="middle" >29.82</td></tr><tr><td align="center" valign="middle" >Normal (Z-score ≥ −1)</td><td align="center" valign="middle" >77</td><td align="center" valign="middle" >45.03</td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >171</td><td align="center" valign="middle" >100</td></tr></tbody></table></table-wrap><table-wrap id="table9" ><label><xref ref-type="table" rid="table9">Table 9</xref></label><caption><title> Distribution of respondents according to weight-for-height Z-score</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Weight-for-height Z-score</th><th align="center" valign="middle" >Frequency</th><th align="center" valign="middle" >Percentage</th></tr></thead><tr><td align="center" valign="middle" >Moderate acute malnutrition (Z-score between −3 to −2)</td><td align="center" valign="middle" >28</td><td align="center" valign="middle" >16.37</td></tr><tr><td align="center" valign="middle" >Severe acute malnutrition (Z-score &lt; −3)</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >1.17</td></tr><tr><td align="center" valign="middle" >Mild malnutrition (Z-score between −2 to −1)</td><td align="center" valign="middle" >66</td><td align="center" valign="middle" >38.60</td></tr><tr><td align="center" valign="middle" >Normal (Z-score ≥ −1)</td><td align="center" valign="middle" >75</td><td align="center" valign="middle" >43.86</td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >171</td><td align="center" valign="middle" >100</td></tr></tbody></table></table-wrap><p><xref ref-type="table" rid="table1">Table 1</xref>1 shows us that 31 or 18.13% of malnourished children were born with low weight against 140 or 81.87%.</p><p><xref ref-type="table" rid="table1">Table 1</xref>2 shows us that 43 or 25.15% of malnourished children had the presence of edema against 128 or 74.85%.</p></sec><sec id="s4"><title>4. Discussion</title><p>Socio-demographic characteristics and vaccination status of children.</p><p><xref ref-type="table" rid="table1">Table 1</xref> shows us that 42.69% of the children were in the age bracket between 13 and 18 months versus those whose age is between 6 and 12 months (37.4% followed by a bracket of 6 to 12 months with 64 or 37.43% Fatoumata, in her study conducted at the Center Hospitalier Universitairer Gabriel Toure, showed that children aged between 12 and 23 were in the majority (58.5%) (Fatoumata. M. Traore, 2014) [<xref ref-type="bibr" rid="scirp.123213-ref5">5</xref>] . In Ethiopia, a study on malnutrition indicates that children aged between 12 and 35 are in the majority (Tesfay et al., 2020) [<xref ref-type="bibr" rid="scirp.123213-ref6">6</xref>] .</p><p>Of 171 children received at the Katuba General Reference Hospital, 93 or 54.39% were female versus 78 or 45.61% who represent the male sex with a sex ratio M/F = 0.8. Our results are similar to those of Mali and Morocco (Fofana, 2009 [<xref ref-type="bibr" rid="scirp.123213-ref7">7</xref>] ; El-Badraouy, Aboussaleh and Correspondance, 2020 [<xref ref-type="bibr" rid="scirp.123213-ref8">8</xref>] ) but contrary to those made by Ak&#233;-Tano in the Ivory Coast where male children were mainly represented (Ak&#233;-Tano et al., 2010) [<xref ref-type="bibr" rid="scirp.123213-ref9">9</xref>] . Another study conducted in Lubumbashi found a predominance of male children (Ngoy et al., 2022) [<xref ref-type="bibr" rid="scirp.123213-ref10">10</xref>] .</p><table-wrap id="table10" ><label><xref ref-type="table" rid="table1">Table 1</xref>0</label><caption><title> Distribution of children according to arm circumference in millimeters</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Arm circumference in millimeters</th><th align="center" valign="middle" >Frequency</th><th align="center" valign="middle" >Percentage</th></tr></thead><tr><td align="center" valign="middle" >Moderate acute malnutrition ≥ 115 to 119 mm</td><td align="center" valign="middle" >29</td><td align="center" valign="middle" >16.96</td></tr><tr><td align="center" valign="middle" >Severe acute malnutrition &lt; 115 mm</td><td align="center" valign="middle" >21</td><td align="center" valign="middle" >12.28</td></tr><tr><td align="center" valign="middle" >Mild malnutrition 120 to 124 mm</td><td align="center" valign="middle" >121</td><td align="center" valign="middle" >70.76</td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >171</td><td align="center" valign="middle" >100</td></tr></tbody></table></table-wrap><table-wrap id="table11" ><label><xref ref-type="table" rid="table1">Table 1</xref>1</label><caption><title> Distribution of children according to birth weight</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Low birth weight</th><th align="center" valign="middle" >Frequency</th><th align="center" valign="middle" >Percentage</th></tr></thead><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >140</td><td align="center" valign="middle" >81.87</td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >31</td><td align="center" valign="middle" >18.13</td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >171</td><td align="center" valign="middle" >100</td></tr></tbody></table></table-wrap><table-wrap id="table12" ><label><xref ref-type="table" rid="table1">Table 1</xref>2</label><caption><title> Distribution of children according to the presence of edema</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Presence of edema</th><th align="center" valign="middle" >Frequency</th><th align="center" valign="middle" >Percentage</th></tr></thead><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >128</td><td align="center" valign="middle" >74.85</td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >43</td><td align="center" valign="middle" >25.15</td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >171</td><td align="center" valign="middle" >100</td></tr></tbody></table></table-wrap><p>Regarding the vaccination status, 58.48% of the children were vaccinated against 41.52 who were not vaccinated.</p><p>Sociodemographic characteristics of parents of malnourished children.</p><p><xref ref-type="table" rid="table2">Table 2</xref> indicates that the majority of parents of children were married (52.6%) versus single (13.5%); the parents being of liberal profession were the majority (53.8%) and those who have no level of study represent the large part (35%). In Mali, workers represented 52.5% against only 0.75% of civil servants (Savadogo et al., 2007) [<xref ref-type="bibr" rid="scirp.123213-ref11">11</xref>] .</p><sec id="s4_1"><title>4.1. Z-Score Weight for Age</title><p>The mean P/A Z-score is 0.41 (Std Dev = 2.50).</p><p>We observed that 52 children or 30.41% of children had mild malnutrition (Z-score between −2 to −1). In Ethiopia, the results of a study indicate that mild malnutrition represents 12.8% (Fentaw and Bogale, 2013) [<xref ref-type="bibr" rid="scirp.123213-ref12">12</xref>] .</p></sec><sec id="s4_2"><title>4.2. Z-Score Height for Age</title><p>By distributing the children according to the classification of malnutrition taking into account the Z-score height for age (<xref ref-type="table" rid="table8">Table 8</xref>) we observe that mild malnutrition represents nearly 30% of children followed by acute malnutrition (14.6%). Height deficit for Age was the majority (44%) in a study conducted in Kenya (Kwena et al., 2003) [<xref ref-type="bibr" rid="scirp.123213-ref13">13</xref>] . Musimwa found 85% of children were chronically malnourished (Musimwa, 2017) [<xref ref-type="bibr" rid="scirp.123213-ref14">14</xref>] .</p></sec><sec id="s4_3"><title>4.3. Z-Score Weight for Height</title><p>The average Z-score P/T is 4.15 (Standard deviation = 5.0) and the majority of malnourished children, 43.86% of children had a normal Z-score, whereas for those who presented the malnutrition, the majority had a Z-score between −2 and −1) or 38.60%. These observations are different from those found by Cissouma (Cissouma, 2022) [<xref ref-type="bibr" rid="scirp.123213-ref15">15</xref>] .</p></sec><sec id="s4_4"><title>4.4. Malnutrition according to Arm Circumference in Millimeters</title><p>The distribution of malnourished children, arm circumference indicates that moderate malnutrition was observed in 29 children (16.9%).</p><p>Malnutrition by birth weight.</p><p>Almost 8 malnourished children did not have low birth weight (82%).</p></sec><sec id="s4_5"><title>4.5. Malnutrition according to the Presence of Edema</title><p>In 74.9%, an absence of edema was generally observed in children seen in consultation at the Katuba General Reference Hospital versus those in 25.2% (<xref ref-type="table" rid="table8">Table 8</xref>). Our observation, which is superior, is similar to that of Cissouma who found that edema was observed in 2.34% of cases in malnourished children (Cissouma, 2022) [<xref ref-type="bibr" rid="scirp.123213-ref15">15</xref>] .</p></sec></sec><sec id="s5"><title>5. Conclusions</title><p>We conducted a cross-sectional descriptive study on malnutrition in children aged 0 to 59 months received in preschool consultation at the Katuba General Reference Hospital.</p><p>Of a total of 351 children, 171 presented with malnutrition, a prevalence of 48.7%.</p><p>Our study observed that the height-for-age deficit was around 44% that of weight-for-age was in the proportion of 30%.</p><p>Arm circumference indicates that moderate malnutrition was observed in 29 children (16.9%). Almost 8 malnourished children did not have low birth weight (82%).</p><p>Most parents of children were married (52.6%) and parents with a liberal profession were in the majority (53.8%) and those with no level of education represent the majority (35%). Malnutrition is a real public health problem. Improving the nutritional status of populations is the sine qua non for achieving the SDGs.</p></sec><sec id="s6"><title>Conflicts of Interest</title><p>The authors declare no conflicts of interest.</p></sec><sec id="s7"><title>Cite this paper</title><p>Shimba, A.N., Mulimbi, C.A., Kilemba, D.M., Mazomena, P.P., Musaya, P.I., Mwenze, D.M., Tshomba, A.K., Makonga, D.I., Mukala, D.M.K., Mulobe, D.M., Kapya, D.M., Kosa, B.T., Bute, M.B.M., Ngoy, F.K., Much’Apa, B.M., Mukalay, A.M. and Kandol, S.I. (2023) Prevalence of Malnutrition among Preschool Children in the Katuba Health District. Case of the Katuba General Reference Hospital in the Democratic Republic of Congo. Open Access Library Journal, 10: e9745. https://doi.org/10.4236/oalib.1109745</p></sec></body><back><ref-list><title>References</title><ref id="scirp.123213-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Saleem, J., Zakar, R., Bukhari, G.M.J., Fatima, A. and Fischer, F. (2021) Developmental Delay and Its Predictors among Children under Five Years of Age with Uncomplicated Severe Acute Malnutrition: A Cross-Sectional Study in Rural Pakistan. BMC Public Health, 21, Article No. 1397. 
https://doi.org/10.1186/s12889-021-11445-w</mixed-citation></ref><ref id="scirp.123213-ref2"><label>2</label><mixed-citation publication-type="other" xlink:type="simple">Kulkarni, B. and Mamidi, R.S. (2019) Nutrition Rehabilitation of Children with Severe Acute Malnutrition: Revisiting Studies Undertaken by the National Institute of Nutrition. Indian Journal of Medical Research, 150, 139-152.  
https://doi.org/10.4103/ijmr.IJMR_1905_18</mixed-citation></ref><ref id="scirp.123213-ref3"><label>3</label><mixed-citation publication-type="other" xlink:type="simple">Ngandu wa Ngandu, O.L.C., Kilewa, R.N., Nyandwe, K.J., Batina, A.S. and Kayembe, T.C. (2021) Prévalence et profil des enfants de 6-59 mois avec malnutrition protéino-énergétique dans l’unité nutritionnelle thérapeutique intensive de l’h&amp;ocirc;pital général de référence de Kindu, RDC. Kisangani Médical, 11, 444-451.</mixed-citation></ref><ref id="scirp.123213-ref4"><label>4</label><mixed-citation publication-type="other" xlink:type="simple">World Health Organization (2001) Report of the Expert Consultation on the Optimal Duration of Exclusive Breastfeeding. World Health Organization, Geneva.</mixed-citation></ref><ref id="scirp.123213-ref5"><label>5</label><mixed-citation publication-type="other" xlink:type="simple">Doumbia, M. and Traore, F.M. (2014) Aspects epidemio-cliniques de la malnutrition aigue severe des enfants de moins de 5 ans au chu gabriel toure. Faculté de Médecine et d’Odonto-Stomatologie, Bamako, 85 p.</mixed-citation></ref><ref id="scirp.123213-ref6"><label>6</label><mixed-citation publication-type="other" xlink:type="simple">Tesfay, W., Abay, M., Hintsa, S. and Zafu, T. (2020) Length of Stay to Recover from Severe Acute Malnutrition and Associated Factors among under-Five Years Children Admitted to Public Hospitals in Aksum, Ethiopia. PLOS ONE, 15, e0238311. 
https://doi.org/10.1371/journal.pone.0238311</mixed-citation></ref><ref id="scirp.123213-ref7"><label>7</label><mixed-citation publication-type="other" xlink:type="simple">Fofana, T.D. (2009) Dépistage de la malnutrition chez les enfants de moins de 5 ans dans les CSCOM de la commune I du district de Bamako. Master’s Thèse. Université de Bamako. Bamako, 78 p.</mixed-citation></ref><ref id="scirp.123213-ref8"><label>8</label><mixed-citation publication-type="other" xlink:type="simple">El-Badraouy, R. and Aboussaleh, Y. (2020) Evaluation de l’état nutritionnel des enfants d’age scolaire de 12 à 19 ans dans la région rurale de Sidi Mohamed Lahmar province de Kénitra (Maroc). Antropo, 44, 25-30.</mixed-citation></ref><ref id="scirp.123213-ref9"><label>9</label><mixed-citation publication-type="other" xlink:type="simple">Aké-Tano, O., et al. (2010) Malnutrition chronique chez les enfants de moins de 5 ans au nord de la C&amp;ocirc;te d’Ivoire. Santé Publique, 22, 213-220.  
https://doi.org/10.3917/spub.102.0213</mixed-citation></ref><ref id="scirp.123213-ref10"><label>10</label><mixed-citation publication-type="other" xlink:type="simple">Ngoy, E.B., et al. (2022) Les indicateurs de l’alimentation du nourrisson et du jeune enfant prédicteurs de la malnutrition chez les enfants 6-23 mois dans la zone de santé de Kapolowe, Haut-Katanga, RD Congo. Revue de l’Infirmier Congolais Article, 6, 33-50.</mixed-citation></ref><ref id="scirp.123213-ref11"><label>11</label><mixed-citation publication-type="other" xlink:type="simple">Abdoul Salam, S. (2007) La malnutrition chez les enfants de 0-5 ans à l’H&amp;ocirc;pital Nianankoro Fomba de Ségou. Master’s Thèse, Université de Bamako, Bamako, 82 p.</mixed-citation></ref><ref id="scirp.123213-ref12"><label>12</label><mixed-citation publication-type="other" xlink:type="simple">Fentaw, R. and Bogale, A. (2013) Prevalence of Child Malnutrition in Agro-Pastoral Households in Afar Regional State of Ethiopia. Nutrition Research and Practice, 7, 122-131. https://doi.org/10.4162/nrp.2013.7.2.122</mixed-citation></ref><ref id="scirp.123213-ref13"><label>13</label><mixed-citation publication-type="other" xlink:type="simple">Kwena, A.M., et al. (2003) Prevalence and Severity of Malnutrition in Pre-School Children in a Rural Area of Western Kenya. The American Journal of Tropical Medicine and Hygiene, 68, 94-99. https://doi.org/10.4269/ajtmh.2003.68.94</mixed-citation></ref><ref id="scirp.123213-ref14"><label>14</label><mixed-citation publication-type="other" xlink:type="simple">Musimwa, M.A. (2017) Malnutrition chez l’enfant de moins de 5 ans à Lubumbashi et ses environs Approche épidémio-clinique et biochimique dans un milieu minier. Université de Lubumbashi, Lubumbashi.</mixed-citation></ref><ref id="scirp.123213-ref15"><label>15</label><mixed-citation publication-type="other" xlink:type="simple">Cissouma, D. (2022) Evaluation de l’état nutritionnel des enfants agés de 0 à 59 mois souffrant de paludisme dans le CSCom de Guelelenkoro, cercle de Yanfolila, Mali. Master/Doctor Thèse, Université des Sciences, des Techniques et des Technologies de Bamako, Bamako, 86 p.</mixed-citation></ref></ref-list></back></article>