<?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.2024.154015</article-id><article-id pub-id-type="publisher-id">FNS-132306</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>
 
 
  Prevalence of Malnutrition and Anaemia in Children ≤ 5 Years of Age in Some Conflict Hit Areas of Meme Division of the South West Region of Cameroon
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Asoba</surname><given-names>Gillian Nkeudem</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>Ebong</surname><given-names>Fidelis Sameh</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>Samuel</surname><given-names>Metuge</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>Teh</surname><given-names>Rene Ning</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>Ngede</surname><given-names>Laura Senge</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>Sumbele</surname><given-names>Irene Ngole</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib></contrib-group><aff id="aff2"><addr-line>Department of Zoology and Animal Physiology, Faculty of Science, University of Buea, Buea, Cameroon</addr-line></aff><aff id="aff1"><addr-line>Department of Social Economy and Family Management, Higher Technical Teachers’ Training College, University of Buea, Kumba, Cameroon</addr-line></aff><pub-date pub-type="epub"><day>07</day><month>04</month><year>2024</year></pub-date><volume>15</volume><issue>04</issue><fpage>235</fpage><lpage>244</lpage><history><date date-type="received"><day>16,</day>	<month>November</month>	<year>2023</year></date><date date-type="rev-recd"><day>4,</day>	<month>April</month>	<year>2024</year>	</date><date date-type="accepted"><day>7,</day>	<month>April</month>	<year>2024</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>
 
 
  Malnutrition refers to the deficiency, imbalances, or excesses in a person’s intake of energy or nutrients
   [1]
  . Khan defines anaemia as below level of Haemoglobin in red blood shown by a lower number of functioning red blood cells
   [2]
  . The crisis in the North West and South West Regions of Cameroon has led to several negative effects on children’s living conditions. There has been an increase in malnutrition and anaemia in the South West Region and Kumba in particular. The main objective of this study was 
  “
  to examine the prevalence of malnutrition and anaemia in children ≤ 5 years of age in some conflict-hit areas of Meme Division
  ”
  . A descriptive cross-sectional 
  study was conducted in 2023 from March to June. We recruited 200 children ≤ 5 years into the study from three hospitals. The regional hospital annex in Kumba, Presbyterian General Hospital Kumba and the Ntam Hospital in Kumba. Socio-demographic factors were assessed using questionnaire, nutritional status was assessed by the use anthropometric measurements and an auto haematology analyser was used to determine anaemia. The overall prevalence of malnutrition in the study area was 40.5%. The prevalence of malnutrition varied significantly (P &lt; 0.001) with the study sites. The overall prevalence of anaemia in the study area was 70.5%. The prevalence of anaemia was not significantly associated with the study sites. The prevalence of Malnutrition and Anaemia in children ≤ 5 years of age is very high in the Kumba municipalities. This could be attributed to the ongoing crisis which has caused a lot of social migrations from rural areas to Urban areas which are safer.
 
</p></abstract><kwd-group><kwd>Malnutrition</kwd><kwd> Anaemia</kwd><kwd> Prevalence</kwd><kwd> Conflict Hit Areas</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><sec id="s1_1"><title>1.1. An Overview</title><p>Malnutrition refers to deficiencies, imbalances, or excesses in a person’s intake of energy and/or nutrients [<xref ref-type="bibr" rid="scirp.132306-ref1">1</xref>] . The World Health Organization classifies malnutrition into two broad categories, namely under nutrition and over-nutrition. They further classified under nutrition into four broad sub-forms namely, wasting (low weight for height), stunting (low height for age), underweight (low weight for age), and micronutrient deficiencies or insufficiencies (a lack of important vitamins and minerals) [<xref ref-type="bibr" rid="scirp.132306-ref3">3</xref>] . Over-nutrition includes overweight, obesity and diet-related non-communicable diseases (such as heart disease, stroke, diabetes, and cancer) due to excessive consumption of energy and other nutrients. Khan et al. [<xref ref-type="bibr" rid="scirp.132306-ref4">4</xref>] define Anaemia as a low level of haemoglobin in the blood, shown by a lower number of functioning red blood cells. The World Health Organization (WHO) defines anaemia as haemoglobin (Hb) less than 11.0 g/dl for children aged 3 to 49 months and less than 15.0 g/dl for children aged 0 to 2 months. Fatigue, pallor, dyspnea, and tachycardia are some of the common symptoms of aneamia [<xref ref-type="bibr" rid="scirp.132306-ref3">3</xref>] .</p></sec><sec id="s1_2"><title>1.2. Problem Statement</title><p>According to Asoba et al. [<xref ref-type="bibr" rid="scirp.132306-ref5">5</xref>] , malnutrition and Anaemia were one of the principal underlying causes of death for many of the world’s children, contributing to more than one-third of the deaths of children below five years globally. They noted that malnutrition and Anaemia in the first two (2) years of life have been directly linked with poor breastfeeding and complementary feeding practices of mothers together with high rates of infectious diseases. The triple burden of malnutrition which includes undernutrition, hidden hunger and overweight threatens the survival, growth and development of children, young people, economy and nations, with almost 200 million children under 5 years of age suffering from stunting, wasting, or both globally [<xref ref-type="bibr" rid="scirp.132306-ref6">6</xref>] . They also stated that more than 1 in 3 children were not growing well, over 340 million children were suffering from deficiencies of essential micronutrients (vitamins and minerals) and at least 1 in 2 children with hidden hunger. The above conditions are common during armed conflicts and socio-political crises, when access to basic social needs, especially nutritious foods is limited and may result in malnutrition, and where individuals and families including children are forced to move out or migrate from their homes and live either as internally displaced persons in other lands, often under difficult living conditions. The South West region including Kumba I municipality has been experiencing socio-political crises since 2016 till date, resulting in the displacement of several families and communities, the destruction of livelihood sources such as farms, houses, businesses, and health facilities, as well as disruption of social life, health, and living conditions in many communities. This crisis may have several negative effects on children, including malnutrition and Anaemia in children below five years of age.</p><p>This crisis has led to the re-emergence of the Anglophone question and highlighted the limits of the Cameroon governance model, based on centralization and co-optation of elites. The Anglophone area consists of two of the country’s ten regions, the Northwest and the Southwest. It covers 16,364 sq km of the country’s total area of 475,442 sq km and has about 5 million of Cameroon’s 24 million inhabitants. it is the stronghold of the main opposition party, Social Democratic Fronts (SDF) and plays an important role in the economy, especially its dynamic agricultural and Commercial Sectors. Most of Cameroon’s oil, which accounts for a large part of the country’s gross domestic product is located off the coast of the Anglophone Region. As a result, of this situation, the majority of the population especially children are suffering from severe malnutrition and Anaemia which has been a very big problem to the community.</p></sec></sec><sec id="s2"><title>2. Materials and Method</title><sec id="s2_1"><title>2.1. Study Sites</title><p>Specifically, the study was carried out in the Kumba Regional Hospital Annex, the Presbyterian General Hospital (Manyemen Annex Kumba) and the Ntam health center at 3 Corners Fiango. These hospitals were selected because they are moderate to low-cost medical facilities where the average inhabitant in Kumba 1 and 11 municipalities and from the hinterlands can consult for most diseases.</p></sec><sec id="s2_2"><title>2.2. Sample Size</title><p>A random sampling of respondents involved parents who had children below or equal to 5 years of age in the regional hospital Annex., Presbyterian General Hospital (Manyemen Annex) and the Ntam Health Center at 3 corners Fiango. The total sample size of this study were 200 respondents. Inclusion criteria considered only internally displaced persons (IDP’s), displaced as a result of the crisis within the area.</p><p>This study made use of primary data which was collected using a semi-structured questionnaire designed by the researcher. The questionnaire consists of mainly open-ended questions to guide respondents towards the objectives of the study. The questionnaire was designed for internally displaced children who were malnourished and anaemic. Its key sections sourced data on Socio-demographic and clinical characteristics of the study population, Prevalence of Malnutrition and the Prevalence of anaemia in the study area. The total number of items on the questionnaire was 15.</p></sec><sec id="s2_3"><title>2.3. Sample Collection and Laboratory Analysis</title><sec id="s2_3_1"><title>2.3.1. Questionnaire Survey</title><p>Data was collected regarding the following: demographics (gender and age), feeding habits (exclusive breastfeeding and duration/mixed feeding/no breastfeeding), types of local weaning foods, mother’s knowledge of balanced diet, history of fever in the preceding 2 to 3 days, history of consumption of any medication in the preceding month, history of diarrhea, internally displaced persons, number of occupants in a house and parent/guardian educational level. Infants were classified as being exclusively breastfed using the definitions proposed by the WHO [<xref ref-type="bibr" rid="scirp.132306-ref3">3</xref>] .</p></sec><sec id="s2_3_2"><title>2.3.2. Clinical Evaluation</title><p>Anthropometric measurements such as height, weight, head circumference, Body Mass Index (BMI), Body circumference to assess for adiposity (waist, hip, limbs) and Skinfold thickness were measured using appropriate equipment. Personnel were trained on the use of the equipment used in anthropometric measurements and on the core elements of Anthropometry. The ages of the children were obtained from their mothers and caregivers. Under-nutrition indices such as height-for-age (HA), weight-for-age (WA), and weight-for-height (WH) standard deviation (SD) scores (Z scores) were computed based on the WHO growth reference curves using the WHO AnthroPlus for personal computers manual [<xref ref-type="bibr" rid="scirp.132306-ref3">3</xref>] . A child was identified as being malnourished if he or she scored &lt; −2 in one of the anthropometric indices of HA (stunting), WA (underweight) and WH (wasting) indices while corresponding Z scores of &lt;−3 SD were considered indicative of severe under-nutrition [<xref ref-type="bibr" rid="scirp.132306-ref7">7</xref>] .</p></sec><sec id="s2_3_3"><title>2.3.3. Assessment of Haematological Parameters</title><p>Assessment of haematological parameters was done using a complete blood cell count. 1 ml blood collected ie (0.1 ml citrate and 0.9 ml blood) placed into a syringe. Haematological parameters were assessed using an auto-haematology analyser (MINRAY 2800 BC), following the manufacturer’s instructions. A complete blood count was obtained for haematological parameters such as haemoglobin levels, red blood cell counts (RBC), erythrocyte indices (mean corpuscular volume (MCV), mean corpuscular haemoglobin (MCH), mean corpuscular haemoglobin concentration (MCHC) and red cell distribution width (RDW), total white blood cell count (WBC) and platelet count (PLT). Anaemia was defined as Hb &lt; 11.0 g/dL [<xref ref-type="bibr" rid="scirp.132306-ref3">3</xref>] and further categorized as severe (Hb &lt; 7.0 g/dL), moderate (Hb between 7.0 and 10.0 g/dL), and mild (&gt;10 Hb &lt; 11 g/dL) [<xref ref-type="bibr" rid="scirp.132306-ref8">8</xref>] . Malarial anaemia (MA) was defined as children with a malaria-positive smear for P. falciparum parasitaemia (of any density) and Hb &lt; 11 g/dL. Non-malarial anaemia was defined as children with anaemia and without a malaria-positive smear for P. falciparum.</p></sec><sec id="s2_3_4"><title>2.3.4. Data Analysis Procedure</title><p>After the instrumentation process, the data collected was systematically processed followed data analysis. The process included using the Lawrence equation to calculate the sample size of the population [<xref ref-type="bibr" rid="scirp.132306-ref9">9</xref>] . The screening, scoring, and coding of the data were done manually, while the capturing and analysis were done using Excel.</p><p>n = z 2 e 2 [ p q ] (1)</p></sec></sec></sec><sec id="s3"><title>3. Results and Discussions</title><p>A total of 200 children with a mean (SD) age of 31.3 (16.1) months, were enrolled at Ntam Health center (37.5%, 75), Manyemen Annex (25.0%, 50) and Regional Hospital Annex (75.0%, 37.5). The proportion of females (63.5%) was higher than males (36.5%). Most of the study participants were in the age group 25 to 48 months (44.5%) and the least in the age group 49 to 60 months (21.5%). In addition, majority of the children were internally displaced (73.0%). Furthermore, the prevalence of malnutrition, wasting, underweight, stunting and anaemia in the study population was 40.5%, 1.5%, 15.0%, 38.5% and 70.5%. (<xref ref-type="table" rid="table1">Table 1</xref>)</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Socio-demographic and clinical characteristics of the study population</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Parameter</th><th align="center" valign="middle" >% (n/N)</th></tr></thead><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >100 (200)</td></tr><tr><td align="center" valign="middle"  colspan="2"  >Study sites</td></tr><tr><td align="center" valign="middle" >Ntam Health centre</td><td align="center" valign="middle" >37.5 (75)</td></tr><tr><td align="center" valign="middle" >Manyemen annex</td><td align="center" valign="middle" >25.0 (50)</td></tr><tr><td align="center" valign="middle" >Regional Hospital Annex</td><td align="center" valign="middle" >37.5 (75)</td></tr><tr><td align="center" valign="middle"  colspan="2"  >Sex</td></tr><tr><td align="center" valign="middle" >Male</td><td align="center" valign="middle" >36.5 (73)</td></tr><tr><td align="center" valign="middle" >Female</td><td align="center" valign="middle" >63.5 (127)</td></tr><tr><td align="center" valign="middle"  colspan="2"  >Age groups in months</td></tr><tr><td align="center" valign="middle" >≤24</td><td align="center" valign="middle" >34.0 (68)</td></tr><tr><td align="center" valign="middle" >25 to 48</td><td align="center" valign="middle" >44.5 (89)</td></tr><tr><td align="center" valign="middle" >49 to 60</td><td align="center" valign="middle" >21.5 (43)</td></tr><tr><td align="center" valign="middle"  colspan="2"  >IDP Status</td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >73.0 (146)</td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >27.0 (54)</td></tr><tr><td align="center" valign="middle" >Malnutrition</td><td align="center" valign="middle" >40.5 (81)</td></tr><tr><td align="center" valign="middle" >Wasting (n)</td><td align="center" valign="middle" >1.5 (3)</td></tr><tr><td align="center" valign="middle" >Stunting (n)</td><td align="center" valign="middle" >38.8 (77)</td></tr><tr><td align="center" valign="middle" >Underweight (n)</td><td align="center" valign="middle" >15.0 (30)</td></tr><tr><td align="center" valign="middle" >Anaemia status</td><td align="center" valign="middle" >70.5 (141)</td></tr></tbody></table></table-wrap><sec id="s3_1"><title>3.1. Prevalence of Malnutrition in the Study Area</title><p>The overall prevalence of malnutrition in the study area was 40.5%. As shown in <xref ref-type="fig" rid="fig1">Figure 1</xref>, the prevalence of malnutrition varied significantly (P &lt; 0.001) within the study sites. The highest prevalence was observed in children who attended Manyemen annex (54.0%) and the lowest among children who attended the Regional Hospital annex (26.7%).</p>Malnutrition, IDP and Clinical Status of Children<p>As shown in <xref ref-type="table" rid="table2">Table 2</xref>, the prevalence of malnutrition was significantly higher among non-IDP (66.7%), males (64.4%), children ≤ 24 months (72.1%) and those with anaemia (54.2%) when compared to their counterparts.</p><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Prevalence of malnutrition as affected by IDP status, sex, age and anaemic status</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  colspan="2"  >Variable</th><th align="center" valign="middle" >Number examined</th><th align="center" valign="middle" >Malnutrition (n)</th></tr></thead><tr><td align="center" valign="middle"  rowspan="2"  >IDP status</td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >54</td><td align="center" valign="middle" >66.7 (36)</td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >146</td><td align="center" valign="middle" >30.8 (45)</td></tr><tr><td align="center" valign="middle"  colspan="2"  >Level of Sig.</td><td align="center" valign="middle"  colspan="2"  >P &lt; 0.001</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Sex</td><td align="center" valign="middle" >Female</td><td align="center" valign="middle" >127</td><td align="center" valign="middle" >26.8 (34)</td></tr><tr><td align="center" valign="middle" >Male</td><td align="center" valign="middle" >73</td><td align="center" valign="middle" >64.4 (47)</td></tr><tr><td align="center" valign="middle"  colspan="2"  >Level of Sig.</td><td align="center" valign="middle"  colspan="2"  >P &lt; 0.001</td></tr><tr><td align="center" valign="middle"  rowspan="3"  >Age group in months</td><td align="center" valign="middle" >≤24</td><td align="center" valign="middle" >68</td><td align="center" valign="middle" >72.1 (49)</td></tr><tr><td align="center" valign="middle" >25 to 48</td><td align="center" valign="middle" >89</td><td align="center" valign="middle" >30.3 (27)</td></tr><tr><td align="center" valign="middle" >49 to 60</td><td align="center" valign="middle" >43</td><td align="center" valign="middle" >11.6 (5)</td></tr><tr><td align="center" valign="middle"  colspan="2"  >Level of Sig.</td><td align="center" valign="middle"  colspan="2"  >P &lt; 0.001</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Anaemia status</td><td align="center" valign="middle" >Anaemia</td><td align="center" valign="middle" >59</td><td align="center" valign="middle" >54.2 (32)</td></tr><tr><td align="center" valign="middle" >Non-Anaemic</td><td align="center" valign="middle" >141</td><td align="center" valign="middle" >34.8 (49)</td></tr><tr><td align="center" valign="middle"  colspan="2"  >Level of Sig.</td><td align="center" valign="middle"  colspan="2"  >P = 0.01</td></tr></tbody></table></table-wrap></sec><sec id="s3_2"><title>3.2. Prevalence of Anaemia</title><p>The overall prevalence of anaemia in the study area was 70.5%. As shown in <xref ref-type="fig" rid="fig2">Figure 2</xref>, the prevalence of anaemia was not significantly associated with the study sites. The highest prevalence was observed in children who attended Manyemen annex (78.0%) and lowest among children who attended the Regional Hospital annex (64.0%).</p><sec id="s3_2_1"><title>3.2.1. Anaemia, IDP and Demographic Status of Children</title><p>As shown in <xref ref-type="table" rid="table3">Table 3</xref>, the prevalence of anaemia was significantly higher among IDPs (78.1%), and children aged 49 to 60 months old (79.1%) when compared to their counterparts. However, the prevalence of anaemia was higher among females (72.4%) than males (67.1%), although the difference was not significant.</p></sec><sec id="s3_2_2"><title>3.2.2. Anaemia, IDP and Malnutrition</title><p>As indicated in <xref ref-type="table" rid="table4">Table 4</xref>, the prevalence of anaemia was higher among healthy children (77.3%) when compared to their malnourished counterparts (60.5%) at P = 0.01. In addition, the prevalence of anaemia was higher among non-stunted children (77.2%) when compared with stunted children (59.7%). On the other hand, the prevalence of anaemia was higher among wasted children (100.0%) when compared with healthy children (70.1%), although the difference was not significant. Also, although not significant, the prevalence of anaemia was higher among underweight children (73.3%) when compared with non-underweight children.</p></sec></sec><sec id="s3_3"><title>3.3. Discussion</title><p>The overall malnutrition status observed from its different forms in the study population was 40.5% as compared to the malnutrition status carried out by Teh Rene in 2022 [<xref ref-type="bibr" rid="scirp.132306-ref10">10</xref>] at the mount Cameroon area which is a crisis-hit zone, he had a percentage 36.0%. This confirms the studies by Asoba et al. [<xref ref-type="bibr" rid="scirp.132306-ref5">5</xref>] that Malnutrition remains a major cause of illness during childhood and is Meso endemic in this part of the southwest region.</p><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Prevalence of anaemia as affected by IDP status, sex and age</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  colspan="2"  >Variable</th><th align="center" valign="middle" >Number examined</th><th align="center" valign="middle" >Anaemia (n)</th></tr></thead><tr><td align="center" valign="middle"  rowspan="2"  >IDP status</td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >146</td><td align="center" valign="middle" >78.1 (114)</td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >54</td><td align="center" valign="middle" >50.0 (27)</td></tr><tr><td align="center" valign="middle"  colspan="2"  >Level of Sig.</td><td align="center" valign="middle"  colspan="2"  >&lt;0.001</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Sex</td><td align="center" valign="middle" >Female</td><td align="center" valign="middle" >127</td><td align="center" valign="middle" >72.4 (92)</td></tr><tr><td align="center" valign="middle" >Male</td><td align="center" valign="middle" >73</td><td align="center" valign="middle" >67.1 (49)</td></tr><tr><td align="center" valign="middle"  colspan="2"  >Level of Sig.</td><td align="center" valign="middle"  colspan="2"  >P = 0.427</td></tr><tr><td align="center" valign="middle"  rowspan="3"  >Age group in months</td><td align="center" valign="middle" >≤24</td><td align="center" valign="middle" >68</td><td align="center" valign="middle" >57.4 (39)</td></tr><tr><td align="center" valign="middle" >25 to 48</td><td align="center" valign="middle" >89</td><td align="center" valign="middle" >76.4 (68)</td></tr><tr><td align="center" valign="middle" >49 to 60</td><td align="center" valign="middle" >43</td><td align="center" valign="middle" >79.1 (34)</td></tr><tr><td align="center" valign="middle"  colspan="2"  >Level of Sig.</td><td align="center" valign="middle"  colspan="2"  >P = 0.013</td></tr></tbody></table></table-wrap><table-wrap id="table4" ><label><xref ref-type="table" rid="table4">Table 4</xref></label><caption><title> Prevalence of anaemia as affected by malnutrition and its forms</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  colspan="2"  >Variable</th><th align="center" valign="middle" >N</th><th align="center" valign="middle" >Malnutrition</th></tr></thead><tr><td align="center" valign="middle"  rowspan="2"  >Malnutrition</td><td align="center" valign="middle" >Malnourish</td><td align="center" valign="middle" >81</td><td align="center" valign="middle" >60.5 (49)</td></tr><tr><td align="center" valign="middle" >Healthy</td><td align="center" valign="middle" >119</td><td align="center" valign="middle" >77.3 (92)</td></tr><tr><td align="center" valign="middle"  colspan="2"  >Level of Sig.</td><td align="center" valign="middle"  colspan="2"  >P = 0.01</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Wasting</td><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >100.0 (3)</td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >197</td><td align="center" valign="middle" >70.1 (138)</td></tr><tr><td align="center" valign="middle"  colspan="2"  >Level of Sig.</td><td align="center" valign="middle"  colspan="2"  >P = 0.259</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Stunting</td><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >77</td><td align="center" valign="middle" >59.7 (46)</td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >123</td><td align="center" valign="middle" >77.2 (95)</td></tr><tr><td align="center" valign="middle"  colspan="2"  >Level of Sig.</td><td align="center" valign="middle"  colspan="2"  >P = 0.008</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Underweight</td><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >30</td><td align="center" valign="middle" >73.3 (22)</td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >170</td><td align="center" valign="middle" >70.0 (119)</td></tr><tr><td align="center" valign="middle"  colspan="2"  >Level of Sig.</td><td align="center" valign="middle"  colspan="2"  >P = 0.712</td></tr></tbody></table></table-wrap><p>In <xref ref-type="fig" rid="fig1">Figure 1</xref>, the highest prevalence was observed in children who attended Manyemen Annex (54.0%) and the lowest among children who attended the regional Hospital Annex (26.7%). The prevalence of Malnutrition forms with regards to it study site, Ntam health Centre had 40% wasting, 42.7% stunting, 17.3% underweight. Manyemen Annex had 50% stunting as compared with the Malnutrition forms in a crisis hit zone carried out by Teh et al., the prevalence of stunting, wasting, and underweight, were 29.0%, 18.2% and 21.2% [<xref ref-type="bibr" rid="scirp.132306-ref10">10</xref>] .</p><p>Egbe. S.T., reported that 55.8% stunting 13.77% wasting and 31.91% underweight were found among under five indigenous Mbororo children in another community in Cameroon which is a crisis-hit zone which he carried out from 1990 to 2014. The prevalence of stunting in Cameroon drastically increased from 29.0% to 38.5%. [<xref ref-type="bibr" rid="scirp.132306-ref11">11</xref>] . The prevalence of Malnutrition IDPs and the clinical status of children shows that malnutrition was higher among non-IDPs as compared to their counterparts. It also showed that Malnutrition according to the gender of respondents was higher among males than females. The prevalence of Malnutrition according to the different age groups of the respondents shows that children ≤ 24 months were more Malnourished as compared to their other counterparts and this increases the chances of death by the age of 24 months. According to review by Thurstans et al., the peak age of wasting and stunting is from birth to 3 months, with implications for subsequent deterioration in infancy and childhood [<xref ref-type="bibr" rid="scirp.132306-ref12">12</xref>] .</p><p>The overall prevalence of Anaemia in the study area was 70.5% as compared to Teh et al. which was 72.8% carried out in a crisis-hit zone [<xref ref-type="bibr" rid="scirp.132306-ref10">10</xref>] . In this study area the Anaemic status of children ≤ 5 years of age was unacceptably high. This study of Anaemic prevalence is like the 77.3% found by Asoba et al. among 5-year-old children in other Mount Cameroon communities which was affected by the crisis [<xref ref-type="bibr" rid="scirp.132306-ref5">5</xref>] .</p><p>In <xref ref-type="fig" rid="fig2">Figure 2</xref>, the highest prevalence was observed in children who attended Manyemen Annex (78.0%) and lowest among children who attended the regional hospital (64.0%) as compared to Sumbele et al. whose percentage of Anaemic cases were 53.7%. the prevalence of Anaemia was significantly higher among IDPs (78.1%) and was from children aged between 25 to 48 months as compared to Sama et al. which was found in children between the ages 6 to 10 years and high in those living in low altitude [<xref ref-type="bibr" rid="scirp.132306-ref13">13</xref>] .</p><p>The prevalence of Anaemia is higher in Females (72.4%) than Males (67.1%). This contrary to the findings of Sakwe et al. who reported lower Anaemia prevalence community base study. This prevalence of Anaemia was affected by Malnutrition and it was high among healthy children [<xref ref-type="bibr" rid="scirp.132306-ref14">14</xref>] .</p></sec><sec id="s3_4"><title>3.4. Conclusion</title><p>The prevalence of Malnutrition and Anaemia in children ≤ 5 years of age are very high in the Kumba municipalities. This could be attributed to the crisis which has caused a lot of social migrations from rural areas to Urban areas which are a bit safe.</p></sec></sec><sec id="s4"><title>Conflicts of Interest</title><p>The authors declare no conflicts of interest regarding the publication of this paper.</p></sec><sec id="s5"><title>Cite this paper</title><p>Nkeudem, A.G., Sameh, E.F., Metuge, S., Ning, T.R., Senge, N.L. and Ngole, S.I. (2024) Prevalence of Malnutrition and Anaemia in Children ≤ 5 Years of Age in Some Conflict Hit Areas of Meme Division of the South West Region of Cameroon. Food and Nutrition Sciences, 15, 235-244. https://doi.org/10.4236/fns.2024.154015</p></sec></body><back><ref-list><title>References</title><ref id="scirp.132306-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Jude, C.K., Chukwunedum, A.U. and Egbuna, K.O. (2019) Under-Five Malnutrition in a South-Eastern Nigeria Metropolitan City. African Health Sciences, 19, 3078-3084. https://dx.doi.org/10.4314/ahs.v19i4.29</mixed-citation></ref><ref id="scirp.132306-ref2"><label>2</label><mixed-citation publication-type="other" xlink:type="simple">Khan, A., Khan, S. and Zia-ul-Islam, S. (2017) Causes, Signs, and Symptoms of Malnutrition among the Children. 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