<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.2 20190208//EN" "http://jats.nlm.nih.gov/publishing/1.2/JATS-journalpublishing1.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="research-article" dtd-version="1.2" xml:lang="en">
    <front>
        <journal-meta>
            <journal-id journal-id-type="pmc">F1000Research</journal-id>
            <journal-title-group>
                <journal-title>F1000Research</journal-title>
            </journal-title-group>
            <issn pub-type="epub">2046-1402</issn>
            <publisher>
                <publisher-name>F1000 Research Limited</publisher-name>
                <publisher-loc>London, UK</publisher-loc>
            </publisher>
        </journal-meta>
        <article-meta>
            <article-id pub-id-type="doi">10.12688/f1000research.165165.1</article-id>
            <article-categories>
                <subj-group subj-group-type="heading">
                    <subject>Research Article</subject>
                </subj-group>
                <subj-group>
                    <subject>Articles</subject>
                </subj-group>
            </article-categories>
            <title-group>
                <article-title>Prevalence of 
                    <italic>Helicobacter pylori</italic> Infection among the General Population in Guangxi, China</article-title>
                <fn-group content-type="pub-status">
                    <fn>
                        <p>[version 1; peer review: awaiting peer review]</p>
                    </fn>
                </fn-group>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Xia</surname>
                        <given-names>Bin</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Data Curation</role>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Resources</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <xref ref-type="aff" rid="a1">1</xref>
                    <xref ref-type="aff" rid="a2">2</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Liu</surname>
                        <given-names>Zheng</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a3">3</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Qin</surname>
                        <given-names>Xueliu</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <xref ref-type="aff" rid="a2">2</xref>
                </contrib>
                <contrib contrib-type="author" corresp="yes">
                    <name>
                        <surname>Zhu</surname>
                        <given-names>Ningxia</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Funding Acquisition</role>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Project Administration</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <xref ref-type="corresp" rid="c1">a</xref>
                    <xref ref-type="aff" rid="a2">2</xref>
                </contrib>
                <aff id="a1">
                    <label>1</label>School of Nursing, Guilin Medical University, Guilin, China</aff>
                <aff id="a2">
                    <label>2</label>Institute of Basic Medicine, Guilin Medical University, Guilin, China</aff>
                <aff id="a3">
                    <label>3</label>College of Laboratory Medicine, Guilin Medical University, Guilin, China</aff>
            </contrib-group>
            <author-notes>
                <corresp id="c1">
                    <label>a</label>
                    <email xlink:href="mailto:122016006@glmc.edu.cn">122016006@glmc.edu.cn</email>
                </corresp>
                <fn fn-type="conflict">
                    <p>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>17</day>
                <month>7</month>
                <year>2025</year>
            </pub-date>
            <pub-date pub-type="collection">
                <year>2025</year>
            </pub-date>
            <volume>14</volume>
            <elocation-id>700</elocation-id>
            <history>
                <date date-type="accepted">
                    <day>18</day>
                    <month>6</month>
                    <year>2025</year>
                </date>
            </history>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2025 Xia B et al.</copyright-statement>
                <copyright-year>2025</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <self-uri content-type="pdf" xlink:href="https://f1000research.com/articles/14-700/pdf"/>
            <abstract>
                <sec>
                    <title>Background</title>
                    <p>According to statistics, 50% of the global population is infected with 
                        <italic toggle="yes">Helicobacter pylori</italic> (HP), with infection rates influenced by factors such as national development status, age, and occupation. Furthermore, HP infection rates vary significantly across different regions within the same country. Although HP infections in China have been declining in recent years, a substantial number of individuals remain affected.</p>
                </sec>
                <sec>
                    <title>Methods</title>
                    <p>This retrospective study analyzed 2,729 participants from Guangxi, China, to examine the distribution of HP infection among different populations. The analysis focused on overall HP infection rates, differences in infection rates between males and females, variations across age groups, and disparities among occupational categories.</p>
                </sec>
                <sec>
                    <title>Results</title>
                    <p>The findings indicate that the overall HP infection rate is 31.4%, with male and female infection rates of 31.5% and 31.2%, respectively. The data show that HP infection rates increase with age, with significant differences observed among age groups. Aging is the independent risk factor for HP infection. Among various professions, civil servants exhibit the lowest HP infection rate, while teachers have the highest.</p>
                </sec>
                <sec>
                    <title>Conclusions</title>
                    <p>This study determined that the prevalence of HP infection in Guangxi, China, is relatively low. Age was identified as a significant risk factor for HP infection in this region. Teachers demonstrated the highest infection rates among all professions. Further investigation is needed to explore the underlying causes of this phenomenon, particularly in relation to the social conditions and economic development of Guangxi, China.</p>
                </sec>
            </abstract>
            <kwd-group kwd-group-type="author">
                <kwd>Helicobacter pylori; Guangxi; Age; Occupation</kwd>
            </kwd-group>
            <funding-group>
                <award-group id="fund-1">
                    <funding-source>Natural Science Foundation of Guangxi Zhuang Autonomous Region</funding-source>
                    <award-id>2023GXNSFBA026026</award-id>
                </award-group>
                <funding-statement>The study was supported by the Natural Science Foundation of Guangxi Zhuang Autonomous Region (Grant numbers: 2023GXNSFBA026026）.</funding-statement>
                <funding-statement>
                    <italic>The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.</italic>
                </funding-statement>
            </funding-group>
        </article-meta>
    </front>
    <body>
        <sec id="sec5" sec-type="intro">
            <title>Introduction</title>
            <p>

                <italic toggle="yes">Helicobacter pylori</italic> (HP) is a spiral-shaped, Gram-negative bacterium that primarily colonizes the gastric mucosa and is recognized as a leading cause of gastric cancer.
                <sup>
                    <xref ref-type="bibr" rid="ref1">1</xref>
                </sup> The prevalence of HP infection varies significantly among different regions and populations.
                <sup>
                    <xref ref-type="bibr" rid="ref2">2</xref>
                </sup> Worldwide, it is estimated that over half of the global population is infected.
                <sup>
                    <xref ref-type="bibr" rid="ref3">3</xref>
                </sup> While some countries have seen a decline in HP infection rates in recent years, others have experienced an increase.
                <sup>
                    <xref ref-type="bibr" rid="ref4">4</xref>
                </sup> For instance, in the United States, the prevalence of HP infection has been decreasing steadily over time.
                <sup>
                    <xref ref-type="bibr" rid="ref5">5</xref>
                </sup> Currently, approximately 24.5% of individuals under 60 years of age and 27.1% of those aged over 60 are estimated to be infected.
                <sup>
                    <xref ref-type="bibr" rid="ref6">6</xref>
                </sup>
            </p>
            <p>The prevalence of HP infection in China has been reported to range from 41.5% to 72.3%, with a significant decline observed from 60.5% to 52.2% after the year 2000.
                <sup>
                    <xref ref-type="bibr" rid="ref7">7</xref>
                </sup> Despite these findings, comprehensive studies investigating the prevalence and associated risk factors of HP infection in Guangxi Zhuang Autonomous Region (abbreviated as Guangxi), China, a region with a population of 57.48 million as of 2023, remain insufficient. Previous research has identified factors such as age and occupation as significant contributors to variations in infection rates.
                <sup>
                    <xref ref-type="bibr" rid="ref8">8</xref>
                </sup> To address this gap, we conducted a large-scale study with 2,729 participants to evaluate HP infection rates across genders, age groups, and occupational categories in Guangxi, China. The outcomes of this study provide essential insights that can guide the development of effective public health strategies for the prevention and eradication of HP infection in China.</p>
        </sec>
        <sec id="sec6" sec-type="methods">
            <title>Methods</title>
            <sec id="sec7">
                <title>Participant and carbon-14 urea breath test</title>
                <p>A total of 2,729 individuals undergoing physical examinations at the Health Management Center of Guilin Medical University between January 2022 and December 2022 were selected for this study. Exclusion criteria included the following: 1) Alcohol consumption exceeding 30 grams daily for males or 20 grams daily for females; 2) Testing positive for hepatitis B virus, hepatitis C virus, or human immunodeficiency virus infection; 3) Recent use of medications affecting blood lipids or blood sugar levels during physical examinations; 4) Recent use of antibiotics, bismuth supplements, proton pump inhibitors, or other medications that could interfere with 14C urea breath test results; 5) Severe malnutrition, reliance on parenteral nutrition, end-stage diseases, or cancer diagnosis; 6) History of hyperlipidemia or chronic diseases, such as coronary heart disease, stroke, hypertension, or diabetes; 7) Incomplete medical examination data. A Carbon-14 urea breath test was conducted to detect HP infection using a [14C] breath test kit (H20068129, Shenzhen Zhonghe Headway Bio-Sci &amp; Tech Co., Ltd), following the manufacturer's instructions.</p>
            </sec>
            <sec id="sec8">
                <title>Statistical analysis</title>
                <p>Data are expressed as mean &#x00b1; standard deviation (SD). An independent sample 
                    <italic toggle="yes">t</italic>-test (two-tailed) was used for comparisons between two groups. Statistical significance was defined as 
                    <italic toggle="yes">P</italic> &lt; 0.05. The statistical analyses were carried out by applying the SPSS 20 software (SPSS Inc., IL, USA, 
                    <ext-link ext-link-type="uri" xlink:href="https://spssdownload.com/spss-20-free-download/">https://spssdownload.com/spss-20-free-download/</ext-link>). Binary logistic regression for multivariate analysis was used to explore the influencing factors of HP infection.</p>
            </sec>
        </sec>
        <sec id="sec9" sec-type="results">
            <title>Results</title>
            <sec id="sec10">
                <title>HP infection overall detection rate</title>
                <p>Among the 2,729 individuals undergoing health examinations, 856 were identified as HP positive, while 1,873 tested negative. The overall detection rate of HP infection in this population was 31.4% (
                    <xref ref-type="table" rid="T1">
Table 1</xref>). Of the 1,717 male participants, 540 tested positive for HP, yielding a detection rate of 31.5%. Among the 1,012 female participants, 316 were HP positive, with a detection rate of 31.2%. While the HP positivity rate was slightly higher in males compared to females, results indicated no statistically significant difference between the two groups (
                    <italic toggle="yes">P</italic> = 0.903, 
                    <xref ref-type="table" rid="T1">
Table 1</xref>).</p>
                <table-wrap id="T1" orientation="portrait" position="float">
                    <label>
Table 1. </label>
                    <caption>
                        <title>Relationship between HP infection and gender.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">Gender</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Number of participants</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">HP positive</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">HP negative</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Positive rate (%)</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">

                                    <italic toggle="yes">P</italic> Value</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Total</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">2729</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">856</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1873</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">31.4</td>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Male</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1717</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">540</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1177</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">31.5</td>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Female</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1012</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">316</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">696</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">31.2</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.903</td>
                            </tr>
                        </tbody>
                    </table>
                    <table-wrap-foot>
                        <p>Note:</p>
                        <fn-group content-type="footnotes">
                            <fn id="tfn1">
                                <label>*</label>
                                <p>

                                    <italic toggle="yes">P </italic>&lt; 0.05, the difference is statistically significant.</p>
                            </fn>
                        </fn-group>
                    </table-wrap-foot>
                </table-wrap>
            </sec>
            <sec id="sec11">
                <title>HP infection and age</title>
                <p>There were 395 cases in the age group of 18 to 30 years, with 96 testing positive for HP. Among individuals aged 31 to 40 years, 541 cases were observed, of which 154 were positive for HP. In the 41 to 50-year age group, 640 cases were recorded, with 212 testing positive for HP. The 51 to 60-year group included 717 cases, with 245 positive for HP. Lastly, for those aged 60 years and above, there were 436 cases, with 149 testing positive for HP. The comparison of HP infection rates across different age groups reveals that the infection rate increases with age. Statistical analysis indicated significant differences among age groups (
                    <italic toggle="yes">P</italic> &lt; 0.003, 
                    <xref ref-type="table" rid="T2">
Table 2</xref>).</p>
                <table-wrap id="T2" orientation="portrait" position="float">
                    <label>
Table 2. </label>
                    <caption>
                        <title>Relationship between HP infection and age.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">Age (years)</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Number of participants</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">HP positive</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">HP negative</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Positive rate (%)</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">

                                    <italic toggle="yes">P</italic> Value</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">18~30</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">395</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">96</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">299</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">24.3</td>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">31~40</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">541</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">154</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">387</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">28.5</td>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">41~50</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">640</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">212</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">428</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">33.1</td>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">51~60</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">717</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">245</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">472</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">34.2</td>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Over 60</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">436</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">149</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">287</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">34.2</td>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Total</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">2729</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">856</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1873</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">31.4</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.003
                                    <xref ref-type="table-fn" rid="tfn2">*</xref>
                                </td>
                            </tr>
                        </tbody>
                    </table>
                    <table-wrap-foot>
                        <p>Note:</p>
                        <fn-group content-type="footnotes">
                            <fn id="tfn2">
                                <label>*</label>
                                <p>

                                    <italic toggle="yes">P</italic>
 &lt; 0.05, the difference is statistically significant.</p>
                            </fn>
                        </fn-group>
                    </table-wrap-foot>
                </table-wrap>
            </sec>
            <sec id="sec12">
                <title>HP infection and occupation</title>
                <p>Among the 2,729 individuals undergoing health check-ups at the hospital, 771 were civil servants, of whom 221 tested positive for HP. Company employees accounted for 1,512 participants, with 478 testing positive for HP. The study included 163 teachers, 56 of whom were HP positive. Additionally, 283 participants from other occupations, including retirees, self-employed individuals, and farmers, were observed, with 101 testing positive for HP. Comparisons of HP infection rates among company employees, teachers, and other professions revealed no significant differences within the health check-up population. However, the infection rate was relatively lower among civil servants (28.7%) and higher among participants from other professions (35.7%). Tests conducted on the categorical data showed no statistically significant differences (
                    <italic toggle="yes">P</italic> = 0.122, 
                    <xref ref-type="table" rid="T3">
Table 3</xref>).</p>
                <table-wrap id="T3" orientation="portrait" position="float">
                    <label>
Table 3. </label>
                    <caption>
                        <title>Relationship between HP infection and occupation.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">
Career</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Number of participants</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">
HP positive</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">
HP negative</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">
Positive rate (%)</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">

                                    <italic toggle="yes">P</italic> Value</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Civil servant</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">771</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">221</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">550</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">28.7</td>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Company Employee</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1512</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">478</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1034</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">31.6</td>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Teacher</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">163</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">56</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">107</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">34.4</td>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Other</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">283</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">101</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">182</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">35.7</td>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Total</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">2729</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">856</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1873</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">31.4</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.122</td>
                            </tr>
                        </tbody>
                    </table>
                    <table-wrap-foot>
                        <p>Note:</p>
                        <fn-group content-type="footnotes">
                            <fn id="tfn3">
                                <label>*</label>
                                <p>

                                    <italic toggle="yes">P</italic>
 &lt; 0.05, the difference is statistically significant.</p>
                            </fn>
                        </fn-group>
                    </table-wrap-foot>
                </table-wrap>
            </sec>
            <sec id="sec13">
                <title>Age is the independent risk factors for HP infection</title>
                <p>Binary logistic regression analysis was performed to identify influencing factors for HP infection, with HP infection status as the dependent variable. Age was identified as a variable with statistically significant differences. The analysis results indicated that age groups 31-40, 41-50, and 51-60 were independent risk factors for HP infection (
                    <italic toggle="yes">P</italic> &lt; 0.05, 
                    <xref ref-type="table" rid="T4">
Table 4</xref>).</p>
                <table-wrap id="T4" orientation="portrait" position="float">
                    <label>
Table 4. </label>
                    <caption>
                        <title>The results of binary logistic regression analysis.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="2" valign="top">Variable</th>
                                <th align="left" colspan="1" rowspan="2" valign="top">B Value</th>
                                <th align="left" colspan="1" rowspan="2" valign="top">OR Value</th>
                                <th align="left" colspan="1" rowspan="2" valign="top">

                                    <italic toggle="yes">P</italic> Value</th>
                                <th align="left" colspan="2" rowspan="1" valign="top">95% confidence interval of OR value</th>
                            </tr>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">Lower limit</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">
Upper limit</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Age (years)</td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.042
                                    <xref ref-type="table-fn" rid="tfn4">*</xref>
                                </td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">18~30</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.199</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1.220</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.192</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.905</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1.643</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">31~40</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.390</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1.476</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.008
                                    <xref ref-type="table-fn" rid="tfn4">*</xref>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1.105</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1.972</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">41~50</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.411</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1.509</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.005
                                    <xref ref-type="table-fn" rid="tfn4">*</xref>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1.129</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">2.016</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">51~60</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.372</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1.450</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.028
                                    <xref ref-type="table-fn" rid="tfn4">*</xref>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1.040</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">2.021</td>
                            </tr>
                        </tbody>
                    </table>
                    <table-wrap-foot>
                        <p>Note:</p>
                        <fn-group content-type="footnotes">
                            <fn id="tfn4">
                                <label>*</label>
                                <p>

                                    <italic toggle="yes">P</italic>
 &lt; 0.05, the difference is statistically significant.</p>
                            </fn>
                        </fn-group>
                    </table-wrap-foot>
                </table-wrap>
            </sec>
        </sec>
        <sec id="sec14" sec-type="discussion">
            <title>Discussion</title>
            <p>This study determined that the overall HP infection rate in China is 31.4%, with infection rates of 31.5% among males and 31.2% among females. The most recent data on HP infection in the Chinese population comes from a meta-analysis conducted in 2022, which reported a prevalence of 44.2%.
                <sup>
                    <xref ref-type="bibr" rid="ref9">9</xref>
                </sup> In recent years, HP infection rates across different regions of China have ranged from 35.8% to 66.4%.
                <sup>
                    <xref ref-type="bibr" rid="ref10">10</xref>
                </sup> The lower HP infection rate observed in this study suggests a further decline in prevalence across the country. HP infection is influenced by various factors, as demonstrated by a nearly 20-year analysis covering multiple regions of mainland China. The findings indicate that lifestyle habits, such as meat consumption, as well as factors like per capita gross domestic product (GDP) and annual average humidity, contribute to regional differences in HP infection rates.
                <sup>
                    <xref ref-type="bibr" rid="ref11">11</xref>
                </sup> Guangxi, located in south-central China and bordering Vietnam to the southwest, currently reports the lowest HP infection rate in the country.</p>
            <p>Our study revealed that HP infection rates increase with age in China, consistent with trends observed in most developing countries and some developed ones.
                <sup>
                    <xref ref-type="bibr" rid="ref12">12</xref>
                </sup> For instance, individuals over the age of 60 may exhibit infection rates 2-3 times higher than those under the age of 20.
                <sup>
                    <xref ref-type="bibr" rid="ref13">13</xref>
                </sup> This disparity can be attributed to the elderly having more frequent exposure to contaminated water sources, unclean food, or shared utensils. Additionally, weakened immune function in older adults makes them more susceptible to long-term colonization.
                <sup>
                    <xref ref-type="bibr" rid="ref14">14</xref>
                </sup> Reports indicate that infection rates among individuals aged 40 and above in developing countries, such as India, can range from 50% to 80%.
                <sup>
                    <xref ref-type="bibr" rid="ref15">15</xref>
                </sup> In contrast, developed countries, including the United States and Western Europe, show lower infection rates among young people (&lt;20%), though older adults may still have elevated rates due to historical exposure.
                <sup>
                    <xref ref-type="bibr" rid="ref16">16</xref>,
                    <xref ref-type="bibr" rid="ref17">17</xref>
                </sup> Consequently, elderly individuals infected with HP are at a higher risk of developing gastric cancer.
                <sup>
                    <xref ref-type="bibr" rid="ref18">18</xref>
                </sup> Interestingly, in a few developed countries, such as Australia, extremely low childhood infection rates result in lower infection rates among the elderly population compared to those in middle age.
                <sup>
                    <xref ref-type="bibr" rid="ref19">19</xref>
                </sup>
            </p>
            <p>In this study, the population was categorized into four occupational groups: civil servants, company employees, teachers, and others, based on the nature of work in China. The findings revealed that HP infection rates were lowest among civil servants, higher among teachers. The relationship between HP infection and occupation is a compelling topic. For instance, a study in Portugal reported a lower prevalence of HP infection among sewage workers (16.7%) compared to miners (48.1%).
                <sup>
                    <xref ref-type="bibr" rid="ref20">20</xref>
                </sup> Occupational classification of HP infection varies across countries due to differences in working conditions, and some classifications may be less applicable universally. In China, civil servants typically have stable jobs with minimal travel and socializing requirements. In contrast, company employees often engage in high-intensity work involving frequent travel and extensive social interactions. Teaching in China is a profession with significant work pressure, requiring regular assessments and coping with various challenges in recent years. As a result, our analysis indicates that Chinese teachers are a high-risk group for HP infection and should be prioritized for targeted interventions.</p>
            <sec id="sec15">
                <title>Ethical considerations</title>
                <p>This study was performed in line with the principles of the Declaration of Helsinki. Approval was granted by the Ethics Committee of Guilin Medical University (No. GYLL2022084). Written informed consent was obtained from all individual participants after explaining the goals of the study. The date of ethical approval received is 15 Aug, 2022.</p>
            </sec>
        </sec>
    </body>
    <back>
        <sec id="sec18" sec-type="data-availability">
            <title>Data availability</title>
            <sec id="sec19">
                <title>Underlying data</title>
                <p>Data are accessible through BioStudies (
                    <ext-link ext-link-type="uri" xlink:href="http://www.ebi.ac.uk/biostudies">www.ebi.ac.uk/biostudies</ext-link>) under accession number S-BSST2019, titled &#x201c;Prevalence of Helicobacter pylori Infection among the General Population in Guangxi, China.&#x201d;
                    <sup>
                        <xref ref-type="bibr" rid="ref21">21</xref>
                    </sup>
                </p>
                <p>This project contains following underlying data:</p>
                <p>The Excel.xls file contains raw data on participant information, including gender, age, and occupational details of individuals infected and uninfected with 
                    <italic toggle="yes">Helicobacter pylori.</italic>
                </p>
                <p>Data are available under the terms of the 
                    <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/publicdomain/zero/1.0/">Creative Commons Zero &#x201c;No rights reserved&#x201d; data waiver</ext-link> (CC0 1.0 Public domain dedication).</p>
            </sec>
        </sec>
        <ack>
            <title>Acknowledgments</title>
            <p>The authors are thankful to the staffs at Health Management Center of Guilin Medical University.</p>
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