<?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.1108032</article-id><article-id pub-id-type="publisher-id">OALibJ-112725</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>
 
 
  Seroprevalence and Risk Factors of the &lt;i&gt;Helicobacter pylori&lt;/i&gt; Infection in Bukavu City in the Democratic Republic of Congo
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Patrick</surname><given-names>de Jésus Ngoma</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>Benjamin</surname><given-names>Longo-Mbenza</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>Evariste</surname><given-names>Tshibangu-Kabamba</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>Bellarmin</surname><given-names>Matungo</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>David</surname><given-names>Lupande</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>Malu</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>Pitchou</surname><given-names>Kengibe</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>Antoine</surname><given-names>Tshimpi Wola Yaba</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>René</surname><given-names>Fiasse</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>Dahma</surname><given-names>Hafid</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>Jeff</surname><given-names>Kabinda</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>Yoshio</surname><given-names>Yamaoka</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>Aliocha</surname><given-names>Nkodila</given-names></name><xref ref-type="aff" rid="aff7"><sup>7</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Véronique</surname><given-names>Yvette Miendje Deyi</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>Charles</surname><given-names>Mbendi Nlombi</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib></contrib-group><aff id="aff3"><addr-line>Department of Environmental and Preventive Medicine, Oita University, Yufu, Japan</addr-line></aff><aff id="aff1"><addr-line>Department of Hepato-Gastroenterology, University of Kinshasa ,Kinshasa, Democratic Republic of the Congo</addr-line></aff><aff id="aff5"><addr-line>Department of Hepato-Gastroenterology, Saint-Luc University Clinics, Brussels, Belgium</addr-line></aff><aff id="aff7"><addr-line>Faculty of Family Medicine and Primary Health Care, Protestant University in Congo, Kinshasa, Democratic Republic of the Congo</addr-line></aff><aff id="aff2"><addr-line>Lomo University of Research, Kinshasa, Democratic Republic of the Congo</addr-line></aff><aff id="aff4"><addr-line>General Provincial Referral Hospital of Bukavu, Catholic University of Bukavu, Bukavu, Democratic Republic of the Congo</addr-line></aff><aff id="aff6"><addr-line>Department of Clinical Biology, Brugmann University Hospital, Brussels, Belgium</addr-line></aff><pub-date pub-type="epub"><day>29</day><month>09</month><year>2021</year></pub-date><volume>08</volume><issue>10</issue><fpage>1</fpage><lpage>14</lpage><history><date date-type="received"><day>30,</day>	<month>September</month>	<year>2021</year></date><date date-type="rev-recd"><day>23,</day>	<month>October</month>	<year>2021</year>	</date><date date-type="accepted"><day>26,</day>	<month>October</month>	<year>2021</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  The prevalence of 
  Helicobacter pylori (
  H. pylori) infection is high in Africa. However, local surveys are still needed to be conducted for filling up the gap existing in understanding the epidemiological situation of the infection within the continent. This study aimed to assess the seroprevalence of 
  H. pylori and its determinant factors in Bukavu, the capital city of Southern Kivu Province in Eastern part of the Democratic Republic of Congo (DRC). A cross-sectional community-based study was conducted across the 3 communes of Bukavu. A two-stage cluster sampling process was performed at Health Area and Households levels by using a standard questionnaire addressing sociodemographic characteristics and gastrointestinal symptoms of participants. Sera samples were collected from each participant for the detection of anti-
  H. pylori IgG antibodies by an ELISA system. A logistic regression model was fitted to assess potential determinants of the anti-
  H. pylori positive serological status. Statistical analyses were conducted by SPSS software version 21 (IBM
  <sup>?</sup>, USA, 2012). The survey included 331 participants aged from 10 to 86 years old. The anti-
  H. pylori: seroprevalence was estimated at 89% [95% CI: 84.9% - 92.2%]. Alcohol consumption increased the risk of anti-
  H. pylori seropositivity by 6 (OR = 5.73 [95% CI: 1.89 - 17.41]; p = 0.002), while illiteracy (OR = 0.41 [95% CI: 0.18 - 0.97]; p = 0.043) and smoking (OR = 0.16 [95% CI: 0.04 - 0.65], p = 0.010) had paradoxical protective effect against anti-
  H. pylori seropositivity. The seroprevalence of 
  H. pylori is very high in Bukavu. Identification of risk groups has the potential for supporting publish health issues needed for fighting against this infection. We recommend implementing appropriate sanitation and hygiene activities, health education programs, and further investigations for addressing this endemic infection locally. 
 
</p></abstract><kwd-group><kwd>&lt;i&gt;Helicobacter pylori&lt;/i&gt;</kwd><kwd> Seroprevalence</kwd><kwd> Risk Factors</kwd><kwd> Bukavu</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Helicobacter pylori (H. pylori), a spiral-shaped gram-negative flagellated bacterium, colonizes the stomach of more than 50% of people worldwide. Its frequency varies widely with the geographical environment, ethnicity, age and socio-economic factors―it is high in developing countries and lower in developed countries [<xref ref-type="bibr" rid="scirp.112725-ref1">1</xref>] [<xref ref-type="bibr" rid="scirp.112725-ref2">2</xref>] . H. pylori infection is acquired in the majority of cases in childhood and, when not treated, leads to a lifelong infection [<xref ref-type="bibr" rid="scirp.112725-ref3">3</xref>] . Since its discovery in the early 1980s by Warren &amp; Marshall [<xref ref-type="bibr" rid="scirp.112725-ref4">4</xref>] , H. pylori have been associated with several gastrointestinal diseases including chronic gastritis, peptic ulcers, gastric adenocarcinoma, and gastric MALT lymphomas [<xref ref-type="bibr" rid="scirp.112725-ref4">4</xref>] [<xref ref-type="bibr" rid="scirp.112725-ref5">5</xref>] . H. pylori infection is ubiquitous in sub-Saharan Africa where the prevalence is the highest observed [<xref ref-type="bibr" rid="scirp.112725-ref6">6</xref>] . However, available African data most often arise from hospital-based studies with substantial methodological limitations [<xref ref-type="bibr" rid="scirp.112725-ref7">7</xref>] [<xref ref-type="bibr" rid="scirp.112725-ref8">8</xref>] [<xref ref-type="bibr" rid="scirp.112725-ref9">9</xref>] [<xref ref-type="bibr" rid="scirp.112725-ref10">10</xref>] . Actually, these studies generally involve a small sample size of symptomatic patients likely missing to capture the majority of H. pylori carriers who remain asymptomatic [<xref ref-type="bibr" rid="scirp.112725-ref11">11</xref>] [<xref ref-type="bibr" rid="scirp.112725-ref12">12</xref>] . In DR Congo there are very little epidemiological data published on the H. pylori infection. In fact, a former study carried out in 1991 in eastern DRC in Katana in rural South Kivu, reported a prevalence of H. pylori of 90% in gastric biopsy samples [<xref ref-type="bibr" rid="scirp.112725-ref13">13</xref>] . In the city of Bukavu, the capital of the province, no data are available. Thus, this study aimed to estimate the seroprevalence of H. pylori and identify its associated risk factors.</p></sec><sec id="s2"><title>2. Methods</title><p>This study is reported following the Strengthening the reporting of observational studies in epidemiology (STROBE) Statement for Observational studies (Supplementary Appendix, STROBE Statement―Checklist) [<xref ref-type="bibr" rid="scirp.112725-ref14">14</xref>] .</p><sec id="s2_1"><title>2.1. Setting Study</title><p>This study was carried out in Bukavu, the capital city of Southern Kivu province, located in the Eastern of the Democratic Republic of Congo. This city has 870,954 inhabitants and stretches over 60 km<sup>2</sup> at an altitude of 1498 m, on the Southwest coast of Kivu Lake. It is subdivided into 3 communes: Ibanda, Kadutu and Bagira corresponding to 3 Health Zones each divided into 12 health areas by the National Health Administration System.</p></sec><sec id="s2_2"><title>2.2. Study Design</title><p>A cross-sectional mass survey was conducted from April 15 to May 23, 2015. This survey targeted residents selected in households, regardless of gender or age, who had been living in the study area for at least 12 months. Study participants had to sign an informed consent form to be included in the study. A legal respondent adult had to sign the informed consent on the behalf of participants who were under 18 years old.</p><p>Since a prevalence of 70.8% has been reported in a neighboring population from Burundi [<xref ref-type="bibr" rid="scirp.112725-ref7">7</xref>] , we estimated that a minimum sample size of 163 participants was deemed to be sufficient for estimating the prevalence in Bukavu city with its 95% confidence interval while reaching a precision of 5%. A systematic random sampling scheme based on a two-stage cluster sampling process (the health area and the household levels) was applied for recruiting study participants. Therefore, the sample size of 163 was multiplied by 2 for reducing the clustering effect, reaching 326. And by assuming a 10% loss of participants, the study targeted a sample size of 354 participants. Finally, 327 participants could be recruited.</p></sec><sec id="s2_3"><title>2.3. Data and Sample Collection</title><p>The data collection was conducted by 12 investigators organized into three teams targeting each of the three Communes of the Bukavu city. Each team included a physician, a nurse, a laboratory technician, and a local community member who had been trained for the conduct of the survey. Activities performed by investigators consisted of identifying households to target, applying selection criteria for including participants in the study, conducting interviews based on a standard questionnaire and collecting biological samples in lines with good clinical practice requirements. Prior to the survey, the study questionnaire had been translated into Kiswahili, the local language, and successfully pre-tested on the field. For collecting biological samples, 3 ml of whole blood were sampled from a vein of the right arm on each study participant and immediately put in an EDTA containing tube. Then, all the tubes with blood samples were transitorily kept into a cooler box before being transported to the Blood Bank Laboratory at the Provincial General Reference Hospital of Bukavu (PGRHB). At the PGRHB, the serum was extracted from each blood sample by centrifugation process and was stored at −40˚C until shipment under cold chain toward the Brugmann Hospital Laboratory in Brussels (Belgium) for biological analyses.</p></sec><sec id="s2_4"><title>2.4. Biological Analyses</title><p>A serological test for detecting H. pylori infection was carried out on each serum sample by using an ELISA kit (Euroimmun&#169;, Lubek, Germany) processed under an Etimax 3000 analyzer (Diasorin&#169;, Saluggia, Italy) and following the manufacturers’ instructions. This technique allowed in vitro quantitative measurement of specific anti-H. pylori IgG antibodies, with a sensitivity and specificity of 100% according to the manufacturer. The result interpretation was made in agreement with criteria that had been set by the manufacturer:</p><p>・ &lt;16 UR (Relative units)/ml: negative result;</p><p>・ 16 - 21 UR/ml: doubtful result;</p><p>・ ≥22 UR/ml: positive result.</p></sec><sec id="s2_5"><title>2.5. Study Variables</title><p>The main variable of this study is the anti-H. pylori serological status which is categorical. Other variables were either categorical or numerical and included socio-demographic information (age, sex, address, number of people living in the household) and clinical features (alcohol consumption, tobacco consumption, level of promiscuity in daily life, drinking water source, and gastrointestinal symptoms) related to each study participant. Additional variables were operationally defined in the study as follows:</p><p>・ A high level of promiscuity was defined as the presence of at least 3 people sharing one bedroom within a given household.</p><p>・ The source of drinking water was considered as clean when water was from a tap (municipal water) or a harnessed water source, while non-potable drinking water was that coming from other types of sources (e.g. a lake, a river, a non-harnessed source or well).</p><p>・ Based on the presence or the absence of gastrointestinal symptoms, two groups of participants were defined namely, symptomatic and asymptomatic participants.</p></sec><sec id="s2_6"><title>2.6. Risk of Bias</title><p>Efforts to address potential sources of bias were made by the random sampling process likely avoiding selection bias in the study. Furthermore, eventual confounding factors were assessed statistically during the logistic regression modeling.</p></sec><sec id="s2_7"><title>2.7. Statistical Analysis</title><p>All the data were recorded into an Excel database (Microsoft<sup>&#174;</sup>, USA, 2010) before being analyzed using the Statistical Package for Social Sciences (SPSS) software version 21 (IBM<sup>&#174;</sup>, USA, 2012). The distributions of quantitative variables were summarized using medians with their respective interquartile ranges while qualitative variables were reported as absolute and relative frequencies for different categories. The comparison between proportions was performed using the Pearson Chi-square test or the corrected Yates’ Chi-square test. The research for the factors associated with the anti-Helicobacter pylori positive serology was carried out by the logistic regression test in univariate analysis. When differences were observed between anti-Helicobacter pylori positive serology and the independent variables, the effect of potential confounders was investigated by logistic regression adjustment in multivariate analysis. Finally, the odds ratios (ORs) and their 95% confidence intervals (95% CIs) were calculated to determine the degree of association between anti-Helicobacter pylori positive serology and the independent variables. A p value &lt; 0.05 was considered to be the threshold of statistical significance.</p></sec><sec id="s2_8"><title>2.8. Ethical Considerations</title><p>This study was conducted in accordance with the standard ethical principles set out in the Declaration of Helsinki. The study protocol was approved by the ethical committee of the Catholic University of Bukavu. Free and informed consent was obtained from each study participant. The confidentiality of information collected from participants was observed. The collection of biological samples was carried out by trained and qualified investigators in fulfillment of standard good clinical practices (e.g. using disposable and sterile materials).</p></sec></sec><sec id="s3"><title>3. Results</title><sec id="s3_1"><title>3.1. Study Participants</title><p>A total of 331 participants was finally included, reaching a response rate of 93.5% (n = 331/354) compared to the targeted sample size.</p></sec><sec id="s3_2"><title>3.2. General Characteristics of the Study Participants</title><p>The general characteristics of the study participants are presented in <xref ref-type="table" rid="table1">Table 1</xref>. We thus observed that participants were mainly young and female (sex ratio 2 women for 1 man). They had a low education level and low socioeconomic status. Almost all of them had access to drinking water and were non-smoker and tobacco users.</p></sec><sec id="s3_3"><title>3.3. H. pylori Seroprevalence in Bukavu</title><p>The H. pylori seroprevalence rate in the general population of Bukavu was estimated at 89% [95% CI: 84.9 - 92.2].</p></sec><sec id="s3_4"><title>3.4. Factors Predicting the risk of H. pylori Seropositivity in Bukavu</title><p>The univariate analysis associating different variables of interest to the anti-H. pylori seropositivity is shown in <xref ref-type="table" rid="table2">Table 2</xref>. It thus appears that the sex, the residence, the promiscuity, the number of people per household, the type of drinking water, the presence of digestive symptoms and the history of gastroscopy did not show any significant association with the anti-H. pylori seropositivity (p &gt; 0.05). However, there was a significant association between the anti-H. pylori seropositivity and smoking, alcohol consumption as well as the university education level.</p><p>The risk of anti-H. pylori seropositivity increased by more than 2 and more than 3 respectively with smoking and alcohol consumption, and with the university education level. After adjusting for confounding factors (smoking and residence), the logistic regression modelling shown in <xref ref-type="table" rid="table3">Table 3</xref> identified significant</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Baseline characteristics of the study population</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Characteristics</th><th align="center" valign="middle" >n</th><th align="center" valign="middle" >%</th><th align="center" valign="middle" >Med (min-Max)*</th></tr></thead><tr><td align="center" valign="middle" >Sexe</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Female</td><td align="center" valign="middle" >215</td><td align="center" valign="middle" >65.0</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Male</td><td align="center" valign="middle" >116</td><td align="center" valign="middle" >35.0</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Age (in year)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >30 (10 - 86)</td></tr><tr><td align="center" valign="middle" >&lt;20</td><td align="center" valign="middle" >81</td><td align="center" valign="middle" >24.5</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >21 - 30</td><td align="center" valign="middle" >88</td><td align="center" valign="middle" >26.6</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >31 - 40</td><td align="center" valign="middle" >34</td><td align="center" valign="middle" >10.3</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >40 - 50</td><td align="center" valign="middle" >22</td><td align="center" valign="middle" >6.6</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >&gt;50</td><td align="center" valign="middle" >106</td><td align="center" valign="middle" >32.0</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Profession</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >University or high school student</td><td align="center" valign="middle" >118</td><td align="center" valign="middle" >39.1</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >State civil worker</td><td align="center" valign="middle" >19</td><td align="center" valign="middle" >6.3</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Worker in private sector</td><td align="center" valign="middle" >109</td><td align="center" valign="middle" >36.1</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Unemployed</td><td align="center" valign="middle" >56</td><td align="center" valign="middle" >18.5</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Address</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Bagira</td><td align="center" valign="middle" >72</td><td align="center" valign="middle" >21.8</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Ibanda</td><td align="center" valign="middle" >145</td><td align="center" valign="middle" >43.8</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Kadutu</td><td align="center" valign="middle" >114</td><td align="center" valign="middle" >34.4</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Education level</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >No education</td><td align="center" valign="middle" >44</td><td align="center" valign="middle" >13.8</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Primary school level</td><td align="center" valign="middle" >42</td><td align="center" valign="middle" >13.2</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >High school level</td><td align="center" valign="middle" >143</td><td align="center" valign="middle" >44.8</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Professional/technical level</td><td align="center" valign="middle" >27</td><td align="center" valign="middle" >8.5</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >College/University level</td><td align="center" valign="middle" >63</td><td align="center" valign="middle" >19.7</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >People in the household</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >7 (1 - 21)</td></tr><tr><td align="center" valign="middle" >&lt;5</td><td align="center" valign="middle" >101</td><td align="center" valign="middle" >30.9</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >6 - 10</td><td align="center" valign="middle" >165</td><td align="center" valign="middle" >50.5</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >&gt;10</td><td align="center" valign="middle" >61</td><td align="center" valign="middle" >18.6</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Tobacco</td><td align="center" valign="middle" >18</td><td align="center" valign="middle" >5.4</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Alcohol</td><td align="center" valign="middle" >117</td><td align="center" valign="middle" >35.3</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Non-potable water drinking</td><td align="center" valign="middle" >18</td><td align="center" valign="middle" >5.4</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >History of endoscopy</td><td align="center" valign="middle" >28</td><td align="center" valign="middle" >8.6</td><td align="center" valign="middle" ></td></tr></tbody></table></table-wrap><p>*Med (min-max) = median (minimum and maximum).</p><table-wrap-group id="2"><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Distribution of Helicobacter pylori seropositivity among different categories of participants</title></caption><table-wrap id="2_1"><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Characteristics</th><th align="center" valign="middle"  rowspan="2"  >N</th><th align="center" valign="middle"  colspan="4"  >H. pylori seropositivity</th></tr></thead><tr><td align="center" valign="middle" >n</td><td align="center" valign="middle" >%</td><td align="center" valign="middle" >OR (IC-95%)</td><td align="center" valign="middle" >p</td></tr><tr><td align="center" valign="middle" >Sex</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Female</td><td align="center" valign="middle" >215</td><td align="center" valign="middle" >187</td><td align="center" valign="middle" >83.2</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Male</td><td align="center" valign="middle" >116</td><td align="center" valign="middle" >107</td><td align="center" valign="middle" >86.2</td><td align="center" valign="middle" >1.8 (0.8 - 3.9)</td><td align="center" valign="middle" >0.15</td></tr><tr><td align="center" valign="middle" >Age</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >≤20</td><td align="center" valign="middle" >81</td><td align="center" valign="middle" >71</td><td align="center" valign="middle" >87.7</td><td align="center" valign="middle" >1.7 (0.5 - 2.8)</td><td align="center" valign="middle" >0.71</td></tr><tr><td align="center" valign="middle" >21 - 30</td><td align="center" valign="middle" >88</td><td align="center" valign="middle" >80</td><td align="center" valign="middle" >90.9</td><td align="center" valign="middle" >1.6 (0.7 - 4.1)</td><td align="center" valign="middle" >0.49</td></tr><tr><td align="center" valign="middle" >31 - 40</td><td align="center" valign="middle" >34</td><td align="center" valign="middle" >31</td><td align="center" valign="middle" >91.2</td><td align="center" valign="middle" >1.7 (0.5 - 6.2)</td><td align="center" valign="middle" >0.56*</td></tr><tr><td align="center" valign="middle" >41 - 50</td><td align="center" valign="middle" >22</td><td align="center" valign="middle" >21</td><td align="center" valign="middle" >95.5</td><td align="center" valign="middle" >3.5 (0.4 - 27.7)</td><td align="center" valign="middle" >0.30*</td></tr><tr><td align="center" valign="middle" >&gt;50</td><td align="center" valign="middle" >106</td><td align="center" valign="middle" >91</td><td align="center" valign="middle" >85.8</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Tobacco</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >18</td><td align="center" valign="middle" >17</td><td align="center" valign="middle" >94.4</td><td align="center" valign="middle" >2.4 (1.2 - 3.3)</td><td align="center" valign="middle" >0.04*</td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >313</td><td align="center" valign="middle" >277</td><td align="center" valign="middle" >88.5</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Alcohol</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >117</td><td align="center" valign="middle" >112</td><td align="center" valign="middle" >95.7</td><td align="center" valign="middle" >3.9 (1.4 - 11.8)</td><td align="center" valign="middle" >0.003</td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >214</td><td align="center" valign="middle" >182</td><td align="center" valign="middle" >85</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Education level</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >No education</td><td align="center" valign="middle" >44</td><td align="center" valign="middle" >35</td><td align="center" valign="middle" >79.5</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Primary</td><td align="center" valign="middle" >42</td><td align="center" valign="middle" >37</td><td align="center" valign="middle" >88.1</td><td align="center" valign="middle" >1.9 (0.6 - 6.2)</td><td align="center" valign="middle" >0.28</td></tr><tr><td align="center" valign="middle" >Secondary</td><td align="center" valign="middle" >143</td><td align="center" valign="middle" >127</td><td align="center" valign="middle" >88.8</td><td align="center" valign="middle" >2.0 (0.9 - 4.5)</td><td align="center" valign="middle" >0.11</td></tr><tr><td align="center" valign="middle" >Professional</td><td align="center" valign="middle" >27</td><td align="center" valign="middle" >25</td><td align="center" valign="middle" >92.6</td><td align="center" valign="middle" >3.2 (0.6 - 16.2)</td><td align="center" valign="middle" >0.19*</td></tr><tr><td align="center" valign="middle" >University</td><td align="center" valign="middle" >63</td><td align="center" valign="middle" >59</td><td align="center" valign="middle" >93.7</td><td align="center" valign="middle" >3.7 (1.1 - 13.2)</td><td align="center" valign="middle" >0.04*</td></tr><tr><td align="center" valign="middle" >Residency</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Bagira</td><td align="center" valign="middle" >72</td><td align="center" valign="middle" >66</td><td align="center" valign="middle" >91.7</td><td align="center" valign="middle" >1.8 (0.6 - 5.2)</td><td align="center" valign="middle" >0.24</td></tr><tr><td align="center" valign="middle" >Ibanda</td><td align="center" valign="middle" >145</td><td align="center" valign="middle" >125</td><td align="center" valign="middle" >86.2</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Kadutu</td><td align="center" valign="middle" >114</td><td align="center" valign="middle" >103</td><td align="center" valign="middle" >90.4</td><td align="center" valign="middle" >1.5 (0.7 - 3.3)</td><td align="center" valign="middle" >0.31</td></tr><tr><td align="center" valign="middle" >Promiscuity</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >108</td><td align="center" valign="middle" >94</td><td align="center" valign="middle" >87</td><td align="center" valign="middle" >0.8 (0.4 - 1.7)</td><td align="center" valign="middle" >0.47</td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >223</td><td align="center" valign="middle" >200</td><td align="center" valign="middle" >89.7</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >People in the household</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >≤5</td><td align="center" valign="middle" >101</td><td align="center" valign="middle" >89</td><td align="center" valign="middle" >88.1</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >6 - 10</td><td align="center" valign="middle" >165</td><td align="center" valign="middle" >146</td><td align="center" valign="middle" >88.5</td><td align="center" valign="middle" >1.0 (0.5 - 2.2)</td><td align="center" valign="middle" >0.92</td></tr><tr><td align="center" valign="middle" >&gt;10</td><td align="center" valign="middle" >61</td><td align="center" valign="middle" >55</td><td align="center" valign="middle" >90.2</td><td align="center" valign="middle" >1.2 (0.4 - 3.5)</td><td align="center" valign="middle" >0.67</td></tr><tr><td align="center" valign="middle" >Source of drinking water</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Drinking water</td><td align="center" valign="middle" >313</td><td align="center" valign="middle" >279</td><td align="center" valign="middle" >89.1</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >No drinking water</td><td align="center" valign="middle" >18</td><td align="center" valign="middle" >15</td><td align="center" valign="middle" >83.3</td><td align="center" valign="middle" >0.6 (0.2 - 2.2)</td><td align="center" valign="middle" >0.44*</td></tr></tbody></table></table-wrap><table-wrap id="2_2"><table><tbody><thead><tr><th align="center" valign="middle" >Recurrent digestive symptoms</th><th align="center" valign="middle" ></th><th align="center" valign="middle" ></th><th align="center" valign="middle" ></th><th align="center" valign="middle" ></th><th align="center" valign="middle" ></th></tr></thead><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >248</td><td align="center" valign="middle" >218</td><td align="center" valign="middle" >87.9</td><td align="center" valign="middle" >0.7 (0.3 - 1.6)</td><td align="center" valign="middle" >0.36</td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >83</td><td align="center" valign="middle" >76</td><td align="center" valign="middle" >91.6</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Previous gastroscopy</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.26</td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >28</td><td align="center" valign="middle" >23</td><td align="center" valign="middle" >82.1</td><td align="center" valign="middle" >0.6 (0.2 - 1.6)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >296</td><td align="center" valign="middle" >264</td><td align="center" valign="middle" >89.2</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" ></td></tr></tbody></table></table-wrap></table-wrap-group><p>*Fisher exact.</p><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Final model of factors explaining the H. pylori seropositivity by a multivariate logistic regression*</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Factor</th><th align="center" valign="middle" >Adjusted OR (CI 95%)</th><th align="center" valign="middle" >p-Value</th></tr></thead><tr><td align="center" valign="middle" >Alcohol consumption</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >5.73 (1.89 - 17.41)</td><td align="center" valign="middle" >0.002</td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Education level</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Primary-university</td><td align="center" valign="middle" >2.5 (1.1 - 5)</td><td align="center" valign="middle" >0.043</td></tr><tr><td align="center" valign="middle" >No education level</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >(*) Adequacy of the model</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.0006</td></tr></tbody></table></table-wrap><p>and independent predictors of anti-H. pylori seropositivity in the study population. Thus, the alcohol consumption increased by 6, while the primary-university education level multiplied by 3 the risk of anti-H. pylori seropositivity in the final model (validity of the model: p &lt; 0.001).</p></sec></sec><sec id="s4"><title>4. Discussion</title><p>This is the first study providing the data related to the epidemiology of H. pylori in the community living in Bukavu, the capital city of the Southern Kivu province in the Eastern part of the DRC. The H. pylori seroprevalence in Bukavu was thus estimated at 89% [95% CI: 84.9 - 92.2]. A similar prevalence is often reported in serological surveys conducted in communities from emerging countries such as Turkey and China [<xref ref-type="bibr" rid="scirp.112725-ref14">14</xref>] [<xref ref-type="bibr" rid="scirp.112725-ref15">15</xref>] [<xref ref-type="bibr" rid="scirp.112725-ref16">16</xref>] or from developing countries such as Madagascar and Ethiopia [<xref ref-type="bibr" rid="scirp.112725-ref10">10</xref>] [<xref ref-type="bibr" rid="scirp.112725-ref17">17</xref>] . However, the observed prevalence is 2 to 9 times higher than that ranging from 10% to 30% often reported in populations from Western countries and [<xref ref-type="bibr" rid="scirp.112725-ref3">3</xref>] [<xref ref-type="bibr" rid="scirp.112725-ref18">18</xref>] [<xref ref-type="bibr" rid="scirp.112725-ref19">19</xref>] . The prevalence estimate observed in the current study is also higher to H. pylori infection rates reported during endoscopic surveys from Burundi (70.8%) [<xref ref-type="bibr" rid="scirp.112725-ref7">7</xref>] and Rwanda (75.3%) [<xref ref-type="bibr" rid="scirp.112725-ref8">8</xref>] , two DRC’s neighboring countries located close to Bukavu city. This very high H. pylori seroprevalence in Bukavu can be linked to several factors likely able to create conditions for a persisting high transmission level of H. pylori in the population. First, recurrent armed conflicts that have happened for more than 20 years in the Great Lakes Region where Bukavu city, Rwanda and Burundi have located region, have forced huge population displacements since the 1990s in promiscuity and poor hygienic conditions favoring for H. pylori spread [<xref ref-type="bibr" rid="scirp.112725-ref20">20</xref>] [<xref ref-type="bibr" rid="scirp.112725-ref21">21</xref>] [<xref ref-type="bibr" rid="scirp.112725-ref22">22</xref>] . Moreover, many existing habits in local cultures may be additional risk factors for H. pylori contamination in the community. For instance, small children are often fed with feeds pre-chewed by their mothers―a practice capable of maintaining intra-familial H. pylori transmission [<xref ref-type="bibr" rid="scirp.112725-ref23">23</xref>] . Other local dietary habits are worthy to be mentioned, such as the fact that it is very common for a child to use the same cutlery with their parents when they are eating together, or for parents or elders to taste the cooled porridge of infants with the same spoonful [<xref ref-type="bibr" rid="scirp.112725-ref23">23</xref>] . On the other hand, an Iranian team, after isolating H. pylori living strains in milk and dairy products samples, has shown that the consumption of raw milk and its derivative products by humans could transmit H. pylori [<xref ref-type="bibr" rid="scirp.112725-ref24">24</xref>] . Bukavu is mainly occupied by the shi ethnic group, a pastoral ethnic, known for consuming unpasteurized cow’s milk in their daily diet. One could then wonder whether this factor could play a certain role in the H. pylori epidemiology in the Bukavu area [<xref ref-type="bibr" rid="scirp.112725-ref25">25</xref>] . Furthermore, Bukavu is located in a region known to be endemic for cholera [<xref ref-type="bibr" rid="scirp.112725-ref26">26</xref>] , a diarrheal infection established Megraud F. et al. [<xref ref-type="bibr" rid="scirp.112725-ref27">27</xref>] as increasing the risk of oral-fecal transmission of H. pylori.</p><p>We assessed different factors eventually associated with the H. pylori seropositivity in Bukavu. We thus observed that the H. pylori seroprevalence was higher among people aged 20 - 50, who were more active, inclined to excess alcohol and smoking consumption [<xref ref-type="bibr" rid="scirp.112725-ref28">28</xref>] , with an infection rate of around 95.5% at 40 years old. The lowest prevalence rates were observed among people aged &lt; 20 and &gt; 50 years old (86%). An increase of the H. pylori infection with age is often reported in the literature. The infection peak occurs in the forties in some studies [<xref ref-type="bibr" rid="scirp.112725-ref29">29</xref>] [<xref ref-type="bibr" rid="scirp.112725-ref30">30</xref>] but can vary according to studies, and generally concerns younger ages [<xref ref-type="bibr" rid="scirp.112725-ref9">9</xref>] [<xref ref-type="bibr" rid="scirp.112725-ref16">16</xref>] [<xref ref-type="bibr" rid="scirp.112725-ref31">31</xref>] . Globally, there is a tendency for the infection predominance to be in younger people in developing countries compared to developed countries [<xref ref-type="bibr" rid="scirp.112725-ref10">10</xref>] . The most common hypothesis explaining the increase in the prevalence of H. pylori as a function of age is the cohort effect [<xref ref-type="bibr" rid="scirp.112725-ref31">31</xref>] [<xref ref-type="bibr" rid="scirp.112725-ref32">32</xref>] [<xref ref-type="bibr" rid="scirp.112725-ref33">33</xref>] with the highest rate of infection among children born around 1965s in this study.</p><p>In the current study, men and women were equally infected with H. pylori (men: 86.2 versus women: 83.2%) resulting in a sex ratio of 1.04. There are controversies about the impact of sex on the seroprevalence of H. pylori. Actually, some studies support a neutral impact of sex [<xref ref-type="bibr" rid="scirp.112725-ref16">16</xref>] [<xref ref-type="bibr" rid="scirp.112725-ref32">32</xref>] [<xref ref-type="bibr" rid="scirp.112725-ref33">33</xref>] [<xref ref-type="bibr" rid="scirp.112725-ref34">34</xref>] , while others show a predominance of H. pylori seropositivity in female [<xref ref-type="bibr" rid="scirp.112725-ref35">35</xref>] or male [<xref ref-type="bibr" rid="scirp.112725-ref9">9</xref>] [<xref ref-type="bibr" rid="scirp.112725-ref36">36</xref>] [<xref ref-type="bibr" rid="scirp.112725-ref37">37</xref>] [<xref ref-type="bibr" rid="scirp.112725-ref38">38</xref>] . Similar to the sex, there are controversies in the literature regarding a possible association between alcohol consumption or smoking, and H. pylori infection [<xref ref-type="bibr" rid="scirp.112725-ref9">9</xref>] [<xref ref-type="bibr" rid="scirp.112725-ref16">16</xref>] [<xref ref-type="bibr" rid="scirp.112725-ref32">32</xref>] [<xref ref-type="bibr" rid="scirp.112725-ref34">34</xref>] [<xref ref-type="bibr" rid="scirp.112725-ref35">35</xref>] [<xref ref-type="bibr" rid="scirp.112725-ref36">36</xref>] [<xref ref-type="bibr" rid="scirp.112725-ref37">37</xref>] [<xref ref-type="bibr" rid="scirp.112725-ref38">38</xref>] . Illustratively, while data from Japan [<xref ref-type="bibr" rid="scirp.112725-ref39">39</xref>] , Sudan [<xref ref-type="bibr" rid="scirp.112725-ref39">39</xref>] and China [<xref ref-type="bibr" rid="scirp.112725-ref16">16</xref>] did not show any relationship between the H. pylori infection and tobacco, a recent meta-analysis of observational studies suggested that a reduction in H. pylori infection could be associated with moderate alcohol consumption [<xref ref-type="bibr" rid="scirp.112725-ref40">40</xref>] . Oppositely, the current study and other reports [<xref ref-type="bibr" rid="scirp.112725-ref23">23</xref>] [<xref ref-type="bibr" rid="scirp.112725-ref28">28</xref>] [<xref ref-type="bibr" rid="scirp.112725-ref39">39</xref>] show a rather significant association between excessive alcohol consumption and H. pylori seroprevalence. Furthermore, our observations showed that excess alcohol consumption increased by six the risk of having a positive anti H. pylori serology in Bukavu. Traditional alcoholic beverages are frequently consumed in a group of people who happily share their glasses as a form of solidarity in local understanding in the Bukavu area. This practice could be seen as an additional factor of oro-oral H. pylori transmission, which can be evoked to explain the association between seropositivity and alcohol consumption.</p><p>In the literature, the low level of education with ignorance is predictive of H. pylori infection [<xref ref-type="bibr" rid="scirp.112725-ref16">16</xref>] [<xref ref-type="bibr" rid="scirp.112725-ref41">41</xref>] [<xref ref-type="bibr" rid="scirp.112725-ref42">42</xref>] [<xref ref-type="bibr" rid="scirp.112725-ref43">43</xref>] . However, the current study shows that the low level of education, without financial resources along with excess alcohol consumption would be protective. In our country, the westernization of society concerns more the most educated barn of the population that copies many practices from Western societies. Thus a practice such as deep kissing currently enhanced by educated people might be having a role in the spread of H. pylori and may explain our observations. Indeed, it is established that the oral cavity hosts and can be a source of infection and transmission of H. pylori [<xref ref-type="bibr" rid="scirp.112725-ref43">43</xref>] . However, further studies are still needed to provide factual explanations for the epidemiological role eventually played by deep kissing in H. pylori transmission. Other possible factors such as gastroesophageal reflux should be considered.</p><p>Despite the absence of a significant association between the residence and the seroprevalence of H. pylori, the present study found a slightly lower seroprevalence in Ibanda commune (86.2%), the highest rate observed in the city compared to the rate in the poor communes. Several authors in Africa have also not found a link between the seroprevalence of H. pylori and the rich or poor residing area [<xref ref-type="bibr" rid="scirp.112725-ref9">9</xref>] [<xref ref-type="bibr" rid="scirp.112725-ref10">10</xref>] . Even worse, Sathar M.A. et al. found no significant difference between urban and rural areas in South Africa [<xref ref-type="bibr" rid="scirp.112725-ref44">44</xref>] .</p><p>Like Nurgalieva in Kazakhstan [<xref ref-type="bibr" rid="scirp.112725-ref45">45</xref>] , the present study found no relationship between promiscuity and seroprevalence of H. pylori. However, several authors have found that promiscuity is closely related to H. pylori infection. This is the case of F&#252;resz J. et al. among recruits of the Hungarian army [<xref ref-type="bibr" rid="scirp.112725-ref20">20</xref>] , Kalaajieh WK et al. in Lebanon [<xref ref-type="bibr" rid="scirp.112725-ref21">21</xref>] , or Malaty in Korea [<xref ref-type="bibr" rid="scirp.112725-ref22">22</xref>] . Unlike this study, different sources of water supply have been identified as potential reservoirs for acquiring the bacteria [<xref ref-type="bibr" rid="scirp.112725-ref46">46</xref>] . Thus, Nurgalieva ZZ found that the use of stream water was associated with a high prevalence of H. pylori [<xref ref-type="bibr" rid="scirp.112725-ref45">45</xref>] . As most of the literature data [<xref ref-type="bibr" rid="scirp.112725-ref46">46</xref>] gastric symptomatology was not associated with the seroprevalence of H. pylori in Bukavu. In addition, the history of upper gastrointestinal endoscopy has been described as a risk factor for H. pylori infection [<xref ref-type="bibr" rid="scirp.112725-ref32">32</xref>] . In the present study, however, the history of gastroscopy was not associated with H. pylori seropositivity.</p></sec><sec id="s5"><title>5. Conclusion</title><p>In this study, the prevalence of H. pylori is high; it constitutes a public health problem in this city. This prevalence is associated with smoking, alcohol consumption and education level. To address this problem, appropriate epidemiological strategies should be drawn up and put in place with active involvement of the community, clinicians and policymakers.</p></sec><sec id="s6"><title>Authors’ Contributions</title><p>All authors contributed to data analysis, drafting or revising the article, have agreed on the journal to which the article will be submitted, gave final approval of the version to be published, and agree to be accountable for all aspects of the work.</p></sec><sec id="s7"><title>Conflicts of Interest</title><p>The authors declare no conflicts of interest.</p></sec><sec id="s8"><title>Cite this paper</title><p>de J&#233;sus Ngoma, P., Longo-Mbenza, B., Tshibangu-Kabamba, E., Matungo, B., Lupande, D., Malu, C., Kengibe, P., Yaba, A.T.W., Nlombi, C.M., Fiasse, R., Hafid, D., Kabinda, J., Yamaoka, Y., Nkodila, A. and Deyi, V.Y.M. (2021) Seroprevalence and Risk Factors of the Helicobacter pylori Infection in Bukavu City in the Democratic Republic of Congo. 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