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 <!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.0 20120330//EN" "http://jats.nlm.nih.gov/publishing/1.0/JATS-journalpublishing1.dtd"> <article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" article-type="research-article" dtd-version="1.0" xml:lang="en">
  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">IJN</journal-id>
      <journal-title-group>
        <journal-title>International Journal of Nutrition</journal-title>
      </journal-title-group>
      <issn pub-type="epub">2379-7835</issn>
      <publisher>
        <publisher-name>Open Access Pub</publisher-name>
        <publisher-loc>United States</publisher-loc>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.14302/issn.2379-7835.ijn-21-3926</article-id>
      <article-id pub-id-type="publisher-id">IJN-21-3926</article-id>
      <article-categories>
        <subj-group>
          <subject>research-article</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Nutritional Status of Inmates in the Central Prison of Mbuji-Mayi, Democratic Republic of Congo</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Muasa</surname>
            <given-names>Patoka Guillaume Kalonji</given-names>
          </name>
          <xref ref-type="aff" rid="idm1842162164">1</xref>
          <xref ref-type="aff" rid="idm1842278028">2</xref>
          <xref ref-type="aff" rid="idm1842279900">3</xref>
          <xref ref-type="aff" rid="idm1842268892">*</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Gérard</surname>
            <given-names>De Coninck</given-names>
          </name>
          <xref ref-type="aff" rid="idm1842266044">4</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Léon</surname>
            <given-names>Okenge Ngongo</given-names>
          </name>
          <xref ref-type="aff" rid="idm1842290332">5</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Félicien</surname>
            <given-names>Ilunga Ilunga</given-names>
          </name>
          <xref ref-type="aff" rid="idm1842290332">5</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Adelin</surname>
            <given-names>Albert</given-names>
          </name>
          <xref ref-type="aff" rid="idm1842162164">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Didier</surname>
            <given-names>Giet</given-names>
          </name>
          <xref ref-type="aff" rid="idm1842290980">6</xref>
        </contrib>
      </contrib-group>
      <aff id="idm1842162164">
        <label>1</label>
        <addr-line>University of Liège, Department of Public Health Sciences, Belgium</addr-line>
      </aff>
      <aff id="idm1842278028">
        <label>2</label>
        <addr-line>Official University of Mbuji-Mayi, School of Public Health, DR Congo</addr-line>
      </aff>
      <aff id="idm1842279900">
        <label>3</label>
        <addr-line>Mbuji-Mayi Higher Institute of Medical Engineering, DR Congo</addr-line>
      </aff>
      <aff id="idm1842266044">
        <label>4</label>
        <addr-line>University of Liège, Faculty of Law, Political Science and Criminology</addr-line>
      </aff>
      <aff id="idm1842290332">
        <label>5</label>
        <addr-line>Kinshasa Higher Institute of Medical Engineering, DR Congo</addr-line>
      </aff>
      <aff id="idm1842290980">
        <label>6</label>
        <addr-line>University of Liège, Department of General Practice, Belgium</addr-line>
      </aff>
      <aff id="idm1842268892">
        <label>*</label>
        <addr-line>Corresponding author</addr-line>
      </aff>
      <contrib-group>
        <contrib contrib-type="editor">
          <name>
            <surname>Sheyda</surname>
            <given-names>Najafi</given-names>
          </name>
          <xref ref-type="aff" rid="idm1842000500">1</xref>
        </contrib>
      </contrib-group>
      <aff id="idm1842000500">
        <label>1</label>
        <addr-line>Dept. of Pharmaceutical Care College of Pharmacy, Tehran University of Medical Sciences, Imam Khomeini Hospital Complex, Tehran, Iran.</addr-line>
      </aff>
      <author-notes>
        <corresp>
  Guillaume M. Kalonji, Department of Public Health, University of Liège – Quartier Hôpital,   Avenue Hippocrate 13 - B23, 4000 Liège, Belgium. Fax <fax>+32 (0)4 366 25 96</fax> and cell phone: +<phone>32 (0)474 64 63 14</phone>. <email>guikalonji@yahoo.fr</email></corresp>
        <fn fn-type="conflict" id="idm1842872820">
          <p>The authors have declared that no competing interests exist.</p>
        </fn>
      </author-notes>
      <pub-date pub-type="epub" iso-8601-date="2021-09-06">
        <day>06</day>
        <month>09</month>
        <year>2021</year>
      </pub-date>
      <volume>6</volume>
      <issue>4</issue>
      <fpage>11</fpage>
      <lpage>20</lpage>
      <history>
        <date date-type="received">
          <day>08</day>
          <month>08</month>
          <year>2021</year>
        </date>
        <date date-type="accepted">
          <day>03</day>
          <month>09</month>
          <year>2021</year>
        </date>
        <date date-type="online">
          <day>06</day>
          <month>09</month>
          <year>2021</year>
        </date>
      </history>
      <permissions>
        <copyright-statement>© </copyright-statement>
        <copyright-year>2021</copyright-year>
        <copyright-holder>Guillaume M. Kalonji, et al.</copyright-holder>
        <license xlink:href="http://creativecommons.org/licenses/by/4.0/" xlink:type="simple">
          <license-p>This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</license-p>
        </license>
      </permissions>
      <self-uri xlink:href="http://openaccesspub.org/ijn/article/1697">This article is available from http://openaccesspub.org/ijn/article/1697</self-uri>
      <abstract>
        <sec id="idm1841991796">
          <title>Background</title>
          <p>The nutritional situation in prisons of               developing countries and the health status of                  inmates remain a major human rights concern. The objective of the study was to assess the nutritional status of inmates jailed in a prison of the Democratic Republic of Congo (DRC).  </p>
        </sec>
        <sec id="idm1841989276">
          <title>Methods</title>
          <p>This cross-sectional study was conducted over a 4-month period in the Central Prison of      Mbuji-Mayi, DRC. Three hundred inmates were selected according to the Malnutrition Universal Screening Tool (MUST). Severe malnutrition was defined according to Buzby index and Nutritional Risk Index (NRI). Data were analyzed by Stata™ (version12.0).</p>
        </sec>
        <sec id="idm1841990572">
          <title>Results</title>
          <p>The inmates were aged between 18 and 70 years and primarily males (88.7%). Of them, 24% were suffering from severe malnutrition and 62% of moderate malnutrition as based on the NRI. At the time of study, 88% of inmates were incarcerated for more than 6 months. Multivariate logistic regression analysis showed that factors independently associated with severe           malnutrition were incarceration of more than 6 months (OR=5.1; 95% CI (1.5-17.4)), origin of food (prison vs.    family or NGO) (OR=4.7; 95% CI (1.6-13.8)) presence of tuberculosis, human immunodeficiency virus and/or         intestinal infections (OR=2.6; 95% CI (1.4-4.7)).</p>
        </sec>
        <sec id="idm1841989348">
          <title>Conclusions</title>
          <p>The nutritional situation in the Central Prison of Mbuji-Mayi is precarious. There is urgent need to supply enough nutrient-rich food to improve health of inmates.</p>
        </sec>
      </abstract>
      <kwd-group>
        <kwd>health condition</kwd>
        <kwd>prison</kwd>
        <kwd>nutrition</kwd>
        <kwd>Democratic Republic of Congo</kwd>
      </kwd-group>
      <counts>
        <fig-count count="0"/>
        <table-count count="4"/>
        <page-count count="10"/>
      </counts>
    </article-meta>
  </front>
  <body>
    <sec id="idm1841990500">
      <title>Background</title>
      <p>Food is a crucial element in the life of inmates. It plays a key role in their physical and mental health <xref ref-type="bibr" rid="ridm1842246284">1</xref>. Nutritional deficiency remains a daily challenge in prisons of developing countries <xref ref-type="bibr" rid="ridm1842250820">2</xref>. A poor health condition among inmates is partly linked to an insufficient food         intake and to precarious conditions in prison settings <xref ref-type="bibr" rid="ridm1842255580">3</xref>. The lack of food and medicine supply affects seriously    inmates’ health and life. In the Democratic Republic of Congo (DRC), apart from regular overcrowding problems noted in several central prisons, food is a main issue in the Congolese prison system. According to the United Nations Stabilization Mission in the DRC (MONUSCO) report on detention conditions in DRC prisons and jails, serious         deficiencies in food, hygiene and healthcare continue to convert some prisons in real homes of the dead <xref ref-type="bibr" rid="ridm1842353420">4</xref>. Most inmates are in poor health and diseases affect organisms weakened by malnutrition. Despite the warning signs launched by reports of the United Nations Organization Mission in the DRC (MONUC), Human Rights Section, in April and November 2004, the situation is far from being improved in prisons twelve years later <xref ref-type="bibr" rid="ridm1842103676">5</xref>. In this               particular field, international and national standards          continue to be violated with dramatic consequences (deadly for many inmates).</p>
      <p>Nutritional status is deplorable because several years ago the Congolese state stopped providing food to inmates in numerous settings; only their family, the            International Committee of the Red Cross (ICRC),                charitable organizations/people, non-governmental            organizations (NGOs) and religious organizations help supporting inmates <xref ref-type="bibr" rid="ridm1842101660">6</xref>. Due to a high population density, poor prison conditions and insufficient budget assigned to food purchase, numerous inmates suffer from                       malnutrition. In the Central Prison of Mbuji-Mayi, food is only provided once a week. In April 2015, twelve people died as a result of malnutrition and lack of medical care. In a recent study performed in that prison, known as the    biggest of Kasai Oriental province, 368 inmates out of 733 (50.2%) had a body mass index (BMI) below                          18.5 kg/ m<sup>2</sup><xref ref-type="bibr" rid="ridm1842106628">7</xref>. As few data on that subject are available, and the recent situation being unknown, the present study aimed at assessing malnutrition, especially the severe form, in prison, through the evaluation of inmates’                nutritional status, in order to identify severe malnutrition and associated factors in the Central Prison of Mbuji-Mayi.</p>
    </sec>
    <sec id="idm1841988628" sec-type="methods">
      <title>Methods</title>
      <sec id="idm1841987764">
        <title>Study Design and Conduct</title>
        <p>This prospective observational study was                  performed between 1 December 2019 and 30 March 2020 in the Central Prison of Mbuji-Mayi, capital city of Kasai Oriental province, DRC. The prison was built in 1952 with an accommodation capacity of 150 prisoners. Currently, it hosts nearly five times its initial capacity (650 inmates) <xref ref-type="bibr" rid="ridm1842070684">8</xref>. Buildings are outdated and risks of collapse are real. Dorms are overcrowded; there is neither light nor                      ventilation. There are 8 dorms, with a mean of 70 inmates per dorm, 7 showers and 5 toilets, but with no doors. Food is provided once a day, but in insufficient quantities and poor in nutrients <xref ref-type="bibr" rid="ridm1842103676">5</xref><xref ref-type="bibr" rid="ridm1842106628">7</xref>.</p>
      </sec>
      <sec id="idm1841987692">
        <title>Study Population</title>
        <p>The study involved inmates aged ≥ 18 years old. To determine subjects eligible for the study, we used the multiparameter index known as the Malnutrition                          Universal Screening Tool (MUST). Out of 650 inmates               present by the time of study, 300 of them were selected based on a MUST score ≥ 1. This group was submitted to a second evaluation test, the Nutritional Risk Index (NRI) or Buzby index, with the aim of determining the              proportion of inmates suffering from severe malnutrition.</p>
      </sec>
      <sec id="idm1841988340">
        <title>Laboratory Analysis Method</title>
        <p>All biochemical and haematological tests (including Complete Blood Count<sup>CBC</sup>, CD4 cell count, HIV viral loads and C-reactive protein <sup>CRP</sup>                        concentrations, albumin) were performed at the                 application laboratory department of the  Higher               Institute of Medical Engineering (ISTM/MBM). Whole blood (3.5 mL) was collected in serum gel separator tubes and centrifuged at 3500 rpm for 10 minutes, and the serum was separated and processed for albumin,    using standard methods. CD4 counts were determined using a FACS counter. The diagnosis of HIV infection was determined by having a positive result for HIV-1 antibody ELISA kits which was confirmed by a positive result again with the same test. Sputum samples were tested by           fluorescence microscopy, the Xpert MTB/RIF test and cultured in mycobacterial growth indicator tubes. Urine was tested with Xpert on fresh urine samples (2.0 ml) as well as on frozen samples (30-40 ml) that were thawed and concentrated by centrifugation. All diagnostic tests were performed by independent operators ignoring         clinical information and other test results. HIV, TB and Albumin results were made available to the prison             medical team to inform treatment decisions.</p>
      </sec>
      <sec id="idm1841995108">
        <title>Data Collection</title>
        <p>Data were collected by health professionals                 assigned to the prison medical centre and BSc students in laboratory science, under the supervision of a medical biologist from the Mbuji-Mayi Higher Institute of Medical Engineering. Investigators were previously trained on the purpose of the study, methodology of data collection and laboratory sampling techniques. </p>
        <p>A directive interview grid was used to collect sociodemographic information. Anthropometric measures were systematically registered for all inmates included in the study. The following data were collected: age, sex, height (m), weight (kg), education level, jail                 sentences (months), inmate status, number of daily meals, origin of food (prison, family or NGO), type of                infection (tuberculosis <sup>TB</sup>, Human Immunodeficiency Virus <sup>HIV</sup> or intestinal infections), smoking status and alcohol consumption. Venous blood was sampled in all study inmates to measure biochemical and                                haematological tests (serum albumin), to determine the HIV status . </p>
      </sec>
      <sec id="idm1841994964">
        <title>Assessment of the Nutritional Status</title>
        <p>The body mass index (BMI) was defined as weight (kg) divided by height (m) squared and expressed in kg/m<sup>²</sup>. The Nutritional Risk Index (NRI) was calculated by the formula: </p>
        <p>
          <italic>NRI = 1.519 x serum albumin (g/l) + (0.417 x </italic>
          <italic>(</italic>
          <italic>current weight/usual weight</italic>
          <italic>)</italic>
          <italic> x 100)</italic>
        </p>
        <p>The NRI score was categorized as “normal                   nutritional status” (NRI &gt; 97.5), “moderate                                malnutrition” (83.5&lt;NRI&lt;97.5) and “severe                            malnutrition” (NRI&lt;83.5) <xref ref-type="bibr" rid="ridm1842075220">9</xref><xref ref-type="bibr" rid="ridm1842059524">10</xref>. The MUST index initially used to select eligible subjects for the study is a screening tool which consists in determining the weight loss of                undernourished adults at risk of developing malnutrition. Five steps were followed depending on the scores                   assigned (four of them being helpful in the screening): (i) the first step consists in measuring height and weight to estimate the BMI; (ii) the second step consists in                     recording the unintentional weight loss (%) and assigns the corresponding score; (iii) the third step determines if the subject suffers from an acute disease and assigns the corresponding score; (iv) the fourth step consists in                adding the scores obtained at steps 1 to 3 to obtain a global malnutrition risk; (v) finally, the fifth step involves orienting the management. The risk is considered as low for a MUST=0, moderate if MUST=1 and high if MUST ≥ 2 <xref ref-type="bibr" rid="ridm1842062692">11</xref><xref ref-type="bibr" rid="ridm1842060604">12</xref>. Inmates suffering from severe malnutrition were sent to Dipumba General Hospital for an appropriate management.</p>
      </sec>
    </sec>
    <sec id="idm1841960132">
      <title>Ethics Approval and Consent to Participate</title>
      <p>The study was approved by the Mbuji-Mayi Inter-University Ethical Committee (COE-IU) (No Approbation: MBM/COE-IU/027/2014) and performed with the                        consent of local authorities (Provincial Ministries of Health and Justice). All prisoners provided a free and  informed oral consent for their participation. They were explained the nature, objective, and duration of the study, as well as what we expected from them; furthermore, they were also given some time for reflection. When              malnutrition was diagnosed, the patient was provided immediate healthcare. All terms of data use were                   respected in accordance with the DRC law and                   requirements. Anonymity was guaranteed.</p>
    </sec>
    <sec id="idm1841958980">
      <title>Statistical Analyses</title>
      <p>Results were expressed by mean and standard deviation (SD) for quantitative variables and as numbers (%) for categorical findings. The Chi-squared test or a Fisher exact test was used to analyze contingency tables. Odds ratios (OR) and their 95% confidence interval (95%CI) were estimated by univariate and multivariate logistic regression analyses. A backward stepwise variable                selection procedure was applied to identify factors                  independently associated with a high risk of severe             malnutrition. Results were considered at the 5% critical level (P≤0.05). Data were analyzed by Stata™ (version12.0).</p>
    </sec>
    <sec id="idm1841960348" sec-type="results">
      <title>Results</title>
      <p>The 300 inmates, mostly men (88.7%), had a mean age of 33 <bold>± </bold>10 years. Inmates aged between 30 and 49 represented 48.7% followed by those under 30 who represented 43.3%. About 90% of them were jailed for more than 6 months. An infection, such as TB, HIV and/or intestinal infection, was recorded in more than half of them (61%). Five inmates (1.7%) died from severe                malnutrition during the study period (<xref ref-type="table" rid="idm1842128564">Table 1</xref>).</p>
      <table-wrap id="idm1842128564">
        <label>Table 1.</label>
        <caption>
          <title> Demographic and clinical patterns of liver disease admitted at Ras             Desta Damtew Memorial hospital, Addis Ababa-Ethiopia from February 2015 to April 2020</title>
        </caption>
        <table rules="all" frame="box">
          <tbody>
            <tr>
              <td>Parameter</td>
              <td>Mean ± SD</td>
              <td>Number (%)</td>
            </tr>
            <tr>
              <td>Sex (male)</td>
              <td> </td>
              <td>266 (88.7)</td>
            </tr>
            <tr>
              <td>Age (years)</td>
              <td>33 ± 10</td>
              <td> </td>
            </tr>
            <tr>
              <td>&lt; 30</td>
              <td> </td>
              <td>130(43.3)</td>
            </tr>
            <tr>
              <td>30-49</td>
              <td> </td>
              <td>146(48.7)</td>
            </tr>
            <tr>
              <td>≥ 50</td>
              <td> </td>
              <td>24(8.0)</td>
            </tr>
            <tr>
              <td>Incarceration (&gt; 6 months)</td>
              <td> </td>
              <td>264 (88.0)</td>
            </tr>
            <tr>
              <td>Smoking</td>
              <td> </td>
              <td>60 (20.0)</td>
            </tr>
            <tr>
              <td>Alcohol consumption</td>
              <td> </td>
              <td>44 (14.7)</td>
            </tr>
            <tr>
              <td>Origin of meals (prison)</td>
              <td> </td>
              <td>256 (85.3)</td>
            </tr>
            <tr>
              <td>Infection(s)<xref ref-type="table-fn" rid="idm1841940444">*</xref></td>
              <td> </td>
              <td>188 (61.3)</td>
            </tr>
            <tr>
              <td>Death</td>
              <td> </td>
              <td>5 (1.7)</td>
            </tr>
          </tbody>
        </table>
        <table-wrap-foot>
          <fn id="idm1841940444">
            <label>*</label>
            <p>Infection (tuberculosis <sup>TB</sup>, Human Immunodeficiency Virus <sup>HIV</sup> or                      intestinal infections</p>
          </fn>
        </table-wrap-foot>
      </table-wrap>
      <p> </p>
      <p>Based on BMI, most inmates (51.3%) were                 underweighted. When considering NRI categories,                  malnutrition was severe among 24.0% of inmates while it was moderate for 62.0% of them (<xref ref-type="table" rid="idm1842073428">Table 2</xref>). </p>
      <table-wrap id="idm1842073428">
        <label>Table 2.</label>
        <caption>
          <title> Nutritional status of study inmates (N=300)</title>
        </caption>
        <table rules="all" frame="box">
          <tbody>
            <tr>
              <td>Parameter</td>
              <td>Category</td>
              <td>Number (%)</td>
            </tr>
            <tr>
              <td>BMI (kg/m²)
</td>
              <td colspan="2"/>
            </tr>
            <tr>
              <td/>
              <td>&lt;18.5</td>
              <td>154 (51.3)</td>
            </tr>
            <tr>
              <td/>
              <td>18.5-24.9</td>
              <td>64 (21.3)</td>
            </tr>
            <tr>
              <td/>
              <td>≥25</td>
              <td>82 (27.3)</td>
            </tr>
            <tr>
              <td>NRI</td>
              <td colspan="2"/>
            </tr>
            <tr>
              <td/>
              <td>&lt;83.5</td>
              <td>72 (24.0)</td>
            </tr>
            <tr>
              <td/>
              <td>83.5-97.5</td>
              <td>186 (62.0)</td>
            </tr>
            <tr>
              <td/>
              <td>&gt;97.5</td>
              <td>

42 (14.0)</td>
            </tr>
          </tbody>
        </table>
        <table-wrap-foot>
          <fn id="idm1841897996">
            <label/>
            <p>BMI = Body mass index; NRI = Nutritional Risk Index</p>
          </fn>
        </table-wrap-foot>
      </table-wrap>
      <p> </p>
      <p>As seen in <xref ref-type="table" rid="idm1842032588">Table 3</xref>, no significant difference was found between inmates who were suffering from severe NRI-based malnutrition and the others, when considering sociodemographic variables, smoking status and alcohol consumption. Severe malnutrition however was more frequent among inmates whose meals were provided by the prison, for those who were suffering from TB, HIV and/or intestinal diseases, and when the length of                 incarceration was ≥ 6 months. Logistic regression                analysis coupled with a backward variable selection                procedure confirmed that length of incarceration &gt; 6 months, origin of meals from prison and presence of              infection were the only independent factors significantly associated with malnutrition. Inmates who had spent more than 6 months in prison had a 5-fold higher risk of malnutrition compared to other inmates. The risk of              developing severe malnutrition was 4.7 times higher for inmates whose meals were exclusively provided by the prison. The presence of TB, HIV and/or intestinal                  infections was also significantly associated with the risk of malnutrition (adjusted OR = 2.6)(<xref ref-type="table" rid="idm1841969116">table 4</xref>). </p>
      <table-wrap id="idm1842032588">
        <label>Table 3.</label>
        <caption>
          <title> Inmates characteristics according to their NRI-based nutritional status (N=300)</title>
        </caption>
        <table rules="all" frame="box">
          <tbody>
            <tr>
              <td>Parameter</td>
              <td colspan="2">NRI nutritional status</td>
              <td> Unadjusted OR (95%CI)*</td>
              <td>P-value*</td>
            </tr>
            <tr>
              <td> </td>
              <td> Severe (&lt; 83.5)</td>
              <td>Non severe ( ≥ 83.5)</td>
              <td> </td>
              <td> </td>
            </tr>
            <tr>
              <td>Sex</td>
              <td> </td>
              <td> </td>
              <td> </td>
              <td>0.076</td>
            </tr>
            <tr>
              <td>Male</td>
              <td>68 (25.6)</td>
              <td>198 (74.4)</td>
              <td>2.6 (0.9-7.6)</td>
              <td> </td>
            </tr>
            <tr>
              <td>Female</td>
              <td>4 (19.8)</td>
              <td>30 (80.2)</td>
              <td>1.0</td>
              <td> </td>
            </tr>
            <tr>
              <td> Age (years)</td>
              <td> </td>
              <td> </td>
              <td> </td>
              <td>0.38</td>
            </tr>
            <tr>
              <td>&lt;30</td>
              <td>28 (21.5)</td>
              <td>102 (78.5)</td>
              <td>1.0</td>
              <td> </td>
            </tr>
            <tr>
              <td>≥30</td>
              <td>44 (25.9)</td>
              <td>126 (74.1)</td>
              <td>1.3 (0.7-2.2)</td>
              <td> </td>
            </tr>
            <tr>
              <td> Smoking</td>
              <td> </td>
              <td> </td>
              <td> </td>
              <td>0.89</td>
            </tr>
            <tr>
              <td>Yes</td>
              <td>14 (23.3)</td>
              <td>46 (77.7)</td>
              <td>0.9 (0.5-1.08)</td>
              <td> </td>
            </tr>
            <tr>
              <td>No</td>
              <td>58 (24.2)</td>
              <td>182 (75.8)</td>
              <td>1.0</td>
              <td> </td>
            </tr>
            <tr>
              <td>Alcohol consumption</td>
              <td> </td>
              <td> </td>
              <td> </td>
              <td>0.051</td>
            </tr>
            <tr>
              <td>Yes</td>
              <td>14 (31.8)</td>
              <td>30 (68.2)</td>
              <td>1.6 (0.8-3.2)</td>
              <td> </td>
            </tr>
            <tr>
              <td>No</td>
              <td>58 (22.7)</td>
              <td>198 (77.3)</td>
              <td>1.0</td>
              <td> </td>
            </tr>
            <tr>
              <td>Origin of meals</td>
              <td> </td>
              <td> </td>
              <td> </td>
              <td>0.012</td>
            </tr>
            <tr>
              <td>Prison</td>
              <td>68 (26.6)</td>
              <td>188 (73.4)</td>
              <td>3.6 (1.2-10.5)</td>
              <td> </td>
            </tr>
            <tr>
              <td>Family or NGO</td>
              <td>4 (9.1)</td>
              <td>40 (90.9)</td>
              <td>1.0</td>
              <td> </td>
            </tr>
            <tr>
              <td>Presence of infection</td>
              <td> </td>
              <td> </td>
              <td> </td>
              <td>0.006</td>
            </tr>
            <tr>
              <td>Yes</td>
              <td>54 (29.4)</td>
              <td>130 (70.6)</td>
              <td>.3 (1.2-4.1)</td>
              <td> </td>
            </tr>
            <tr>
              <td>No</td>
              <td>18 (15.5)</td>
              <td>98 (84.5)</td>
              <td>1.0</td>
              <td> </td>
            </tr>
            <tr>
              <td>Length of incarceration (months)</td>
              <td> </td>
              <td> </td>
              <td> </td>
              <td>0.019</td>
            </tr>
            <tr>
              <td>&lt; 6</td>
              <td>3 (8.3)</td>
              <td>33 (91.7)</td>
              <td>1.0</td>
              <td> </td>
            </tr>
            <tr>
              <td>≥ 6</td>
              <td>69 (26.1)</td>
              <td>193 (73.9)</td>
              <td>3.9 (1.2-13.1)</td>
              <td> </td>
            </tr>
          </tbody>
        </table>
        <table-wrap-foot>
          <fn id="idm1841844508">
            <label/>
            <p>*Chi square test; NRI: Nutritional Risk Index; OR =1.0 : reference category , OR obtained by univariate logistic                regression analysis,</p>
          </fn>
        </table-wrap-foot>
      </table-wrap>
      <table-wrap id="idm1841969116">
        <label>Table 4.</label>
        <caption>
          <title> Factors independently associated with severe malnutrition based on NRI (N=300)</title>
        </caption>
        <table rules="all" frame="box">
          <tbody>
            <tr>
              <td>Parameter</td>
              <td> </td>
              <td>Adjusted OR<xref ref-type="table-fn" rid="idm1841810556">*</xref> (95%CI) </td>
              <td>P-value </td>
            </tr>
            <tr>
              <td>Length of incarceration (months)</td>
              <td> </td>
              <td> </td>
              <td> </td>
            </tr>
            <tr>
              <td> </td>
              <td>≤ 6</td>
              <td>1.0</td>
              <td> </td>
            </tr>
            <tr>
              <td> </td>
              <td>˃ 6</td>
              <td>5.1 (1.5-17.4)</td>
              <td>0.009</td>
            </tr>
            <tr>
              <td>Origin of meals</td>
              <td> </td>
              <td> </td>
              <td> </td>
            </tr>
            <tr>
              <td> </td>
              <td>Prison</td>
              <td>4.7 (1.6-13.8)</td>
              <td>0.005</td>
            </tr>
            <tr>
              <td> </td>
              <td>Family or NGO</td>
              <td>1.0</td>
              <td> </td>
            </tr>
            <tr>
              <td> Presence of infection</td>
              <td> </td>
              <td> </td>
              <td> </td>
            </tr>
            <tr>
              <td> </td>
              <td>Yes</td>
              <td>2.6 (1.4-4.7)</td>
              <td>0.002</td>
            </tr>
            <tr>
              <td> </td>
              <td>No</td>
              <td>1.0</td>
              <td> </td>
            </tr>
          </tbody>
        </table>
        <table-wrap-foot>
          <fn id="idm1841810556">
            <label>*</label>
            <p>OR=Odds ratio derived by multivariate logistic regression analysis; </p>
          </fn>
          <fn id="idm1841809332">
            <label/>
            <p>CI=confidence interval. OR =1.0 : reference category.</p>
          </fn>
        </table-wrap-foot>
      </table-wrap>
      <p> </p>
    </sec>
    <sec id="idm1841809260" sec-type="discussion">
      <title>Discussion</title>
      <p>This study conducted in the Central Prison of Mbuji-Mayi (DRC) assessed the nutritional status of                inmates with the goal to identify subjects with severe malnutrition and to highlight potentially associated risk factors. The overall prevalence of severe malnutrition reached 24%, while moderate malnutrition affected 62% of inmates. Similar results were reported by the NGO “Doctors without Borders” in Guinea: severe malnutrition reached 22% in Mamou, 21% in Guéckédou and 13% in Boké <xref ref-type="bibr" rid="ridm1842046572">13</xref>. The prevalence observed in Mbuji-Mayi was slightly lower compared to other African reports.                    Olubodun et al. <xref ref-type="bibr" rid="ridm1842048444">14</xref> estimated a 48.1% prevalence of malnutrition in the prison of a Nigerian developing              community. On the other hand, a higher prevalence (46.2%) was reported in North Gondar and in northeast Ethiopia <xref ref-type="bibr" rid="ridm1842043980">15</xref>. Such difference could be explained by the wide range of tools used to assess nutritional risk and other factors such as those related to organization and conditions of detention in these prison settings.</p>
      <p>Adequate nutrition is a fundamental human right; inmates should benefit from healthy food for a better health. Our study revealed that the origin of meals was closely related to severe malnutrition.                  Inmates who were exclusively fed with prison meals were 5 times more at risk to develop severe                 malnutrition compared to those receiving meals                  prepared by their family or an NGO. The lack of access to a diversified food, rich in nutrients, is frequently              observed in DRC prisons. The budget for food is almost non-existent. Enough food, as a fundamental right, is denied to most inmates; thus, weight loss and death occur, especially among inmates infected by TB and/or HIV <xref ref-type="bibr" rid="ridm1842103676">5</xref>. Inmates who were initially fragile because of their health status and those who had spent more than 6 months in prison were 5 times more likely to suffer from severe malnutrition compared to other inmates. A long-lasting incarceration is a risk factor, especially in DRC prisons, which have become places of deprivation of all fundamental rights despite the UN Charter <xref ref-type="bibr" rid="ridm1842039660">16</xref>. Such conclusion is in line with the results of previous studies performed in Gondar and Bahirdar, in                   northwest Ethiopia <xref ref-type="bibr" rid="ridm1842043980">15</xref>. Our results also showed that inmates who were suffering from HIV, TB and/or                intestinal infections were twice more likely to develop severe malnutrition; this is due to the lack of protein rich meal, loss of appetite, vomiting and nauseas, which are frequent consequences of antiretroviral and                   anti-tuberculosis drugs-related secondary effects, the difficulty swallowing because of oral candidiasis or              ulcer <xref ref-type="bibr" rid="ridm1842055356">17</xref><xref ref-type="bibr" rid="ridm1842011156">18</xref><xref ref-type="bibr" rid="ridm1842008708">19</xref>. In our case, no association was evidenced between sex, age of inmate, tobacco smoking or alcohol consumption, and the occurrence of severe malnutrition in prison. Contrary to our results, some authors                   observed that women in prison had a muscular mass less developed and a higher proportion of total body fat compared to men, for an equivalent BMI <xref ref-type="bibr" rid="ridm1842019652">20</xref>. This could increase the prevalence of malnutrition in men, as sex and muscular mass can affect the relation between BMI and body fat <xref ref-type="bibr" rid="ridm1842019652">20</xref>. A significant association between infections and severe malnutrition was highlighted in our study: inmates suffering from TB, HIV and/or                  intestinal infections were 3 times more likely to develop severe malnutrition. Similar observations were                    documented in previous studies <xref ref-type="bibr" rid="ridm1842019148">21</xref><xref ref-type="bibr" rid="ridm1842016196">22</xref><xref ref-type="bibr" rid="ridm1841996068">23</xref><xref ref-type="bibr" rid="ridm1841994628">24</xref><xref ref-type="bibr" rid="ridm1841989516">25</xref>. The HIV/TB complex and malnutrition, especially in DRC prisons, weaken inmates and are responsible for several deaths. It should be noted that during the investigation period, 5 inmates (1.7%) died in unexplained cachexic conditions. Our observations confirm previous findings in the way that poor and insufficient food increases the risks of                     exposure to a disease and accelerates its evolution <xref ref-type="bibr" rid="ridm1842353420">4</xref>. A 2004 study performed in the Guinean prison named ‘Central House’ showed that 10 to 15% of inmates were suffering from malnutrition; seven inmates were dying per month, either of malnutrition or of diseases <xref ref-type="bibr" rid="ridm1841989516">25</xref>. The poor conditions of detention were exacerbated by the lack of appropriate and in time-health care. In prison, medical care is generally of poor quality. Food, as a                fundamental right, is essential for inmates and should receive more attention. Food is one of the most important aspects in the life of inmates; it helps them disconnect from daily routine but also decreases hostility and              antisocial behaviour. </p>
    </sec>
    <sec id="idm1841810124">
      <title>Limitation of the Study</title>
      <p>The range of tools used to assess nutritional risk is an obstacle to the comparison with other studies.               Differences related to scales, scoring system and               thresholds selected restrict the possibility to compare prevalence data. It is important to note that comparing prevalence with other studies is also limited due to              differences in age categories and the threshold defining severe malnutrition in the elderly. In our study, the usual weight was estimated on the basis of what people told the investigators, due to lack of knowledge on the weight of several inmates upon their arrival at the prison.</p>
    </sec>
    <sec id="idm1841808684" sec-type="conclusions">
      <title>Conclusion</title>
      <p>This study showed that 25% of inmates of the Central Prison of Mbuji-Mayi (DRC) were suffering from severe malnutrition. Health status of inmates receiving homemade or NGO meals was less alarming compared to inmates whose meal was provided by the prison, in low quantity and once a day. Malnutrition is the major cause of morbidity and mortality in developing countries. An incarceration of more than 6 months expose inmates to malnutrition, especially individuals suffering from TB, HIV and/or intestinal infections. A correct and                        well-balanced food, in sufficient quantity, is crucial to avoid exposure to severe malnutrition and potential  mortality. The involvement of national and regional               authorities is essential to avoid transforming the prison rehabilitation centre in a site of infection, with all                 negative consequences that may arise.</p>
      <sec id="idm1841840076">
        <title>Abbreviations</title>
        <p>DRC: Democratic Republic of Congo, MUST: Malnutrition Universal Screening Tool</p>
        <p>NRI: Nutrition Risk Index, OR: Odds ratio, CI: Confidence interval, Monusco:  United Nations Mission Stabilization Mission in Congo (DRC), Monuc: United Nations Mission Stabilization Mission in Congo (DRC); ICRC: International committee of the Red Cross, NGOs: Non-Governmental Organizations, BMI:  Body mass index, TB: Tuberculosis, MBM:  Mbuji-Mayi, HIV: Human immunodeficiency virus, UN: United Nations, BSc:  Bachelor, COE-IU                              Inter-University Ethical Committee</p>
      </sec>
    </sec>
    <sec id="idm1841840220">
      <title>Availability of Data and Materials</title>
      <p>The dataset(s) supporting the conclusions of this article is (are) included in the article (and its additional file(s): Tables).</p>
    </sec>
    <sec id="idm1841839500">
      <title>Funding</title>
      <p>No funding sources.</p>
    </sec>
    <sec id="idm1841840364">
      <title>Authors’ Contributions</title>
      <p>MGK is the main author: he designed the study, participated to the data collection and analysis. AA, GDC, LO and DG supervised the overall design and conduct of the work. FII took part to the data collection and               statistical analysis. All authors were involved in the                preparation of the manuscript, edition, and finalization of the version to be published and agreed to be accountable for all aspects related to the integrity of the work. All authors read and approved the final manuscript.</p>
    </sec>
  </body>
  <back>
    <ack>
      <p>We thank all healthcare professionals from the hospital to the central prison in Mbuji-Mayi. We also thank the authorities of the central prison for giving us access to the prison. We acknowledge the guidance and supervision received from the Mbuji-Mayi Higher                  Institute of Medical Engineering.</p>
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