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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Med.</journal-id>
<journal-title>Frontiers in Medicine</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Med.</abbrev-journal-title>
<issn pub-type="epub">2296-858X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fmed.2023.1320735</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Medicine</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Higher levels of systemic immune-inflammatory index are associated with the prevalence of gallstones in people under 50&#x2009;years of age in the United States: a cross-sectional analysis based on NHANES</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Meng</surname>
<given-names>Chunli</given-names>
</name>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
<role content-type="https://credit.niso.org/contributor-roles/software/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Liu</surname>
<given-names>Kai</given-names>
</name>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/2385511/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
</contrib-group>
<aff><institution>Center of Infectious Diseases, West China Hospital, Sichuan University</institution>, <addr-line>Chengdu</addr-line>, <country>China</country></aff>
<author-notes>
<fn id="fn0003" fn-type="edited-by"><p>Edited by: Francesk Mulita, General University Hospital of Patras, Greece</p></fn>
<fn id="fn0004" fn-type="edited-by"><p>Reviewed by: Angelis Peteinaris, University of Patras, Greece</p>
<p>Dimitrios Bousis, General University Hospital of Patras, Greece</p>
<p>Dimitrios Kehagias, General University Hospital of Patras, Greece</p></fn>
<corresp id="c001">&#x002A;Correspondence: Kai Liu, <email>Liubusiness@163.com</email></corresp>
</author-notes>
<pub-date pub-type="epub">
<day>12</day>
<month>01</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>10</volume>
<elocation-id>1320735</elocation-id>
<history>
<date date-type="received">
<day>12</day>
<month>10</month>
<year>2023</year>
</date>
<date date-type="accepted">
<day>30</day>
<month>12</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2024 Meng and Liu.</copyright-statement>
<copyright-year>2024</copyright-year>
<copyright-holder>Meng and Liu</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<sec id="sec1">
<title>Introduction</title>
<p>Inflammation plays a significant role in gallstones formation. The prognosis of various illnesses was initially predicted using the systemic immune-inflammatory index (SII). We performed an updated analysis on the impact of SII and gallstones.</p>
</sec>
<sec id="sec2">
<title>Methods</title>
<p>To investigate the connection between the SII and gallstones occurrence in a sample of individuals from the National Health and Nutrition Examination Survey (NHANES) database from 2017 to 2020, we employed logistic regression analysis, subgroup analysis, and smoothing curve fitting.</p>
</sec>
<sec id="sec3">
<title>Results</title>
<p>In our study, an aggregate of 4,950 individuals over the age of 20 were enrolled, and 429 of them claimed to have gallstones. A fully adjusted model showed that the third and fourth quartiles of SII was parallel associated with gallstones in adults (OR&#x2009;=&#x2009;2.43, 95% CI&#x2009;=&#x2009;1.39&#x2013;4.26; OR&#x2009;=&#x2009;2.97, 95% CI&#x2009;=&#x2009;1.72&#x2013;5.16) under 50&#x2009;years. Subgroup analysis and smoothed curve fitting provided evidence in favor of this finding.</p>
</sec>
<sec id="sec4">
<title>Conclusion</title>
<p>According to our research, gallstones are more likely to occur in US adults younger than 50&#x2009;years.</p>
</sec>
</abstract>
<kwd-group>
<kwd>gallstones</kwd>
<kwd>systemic immune-inflammatory index</kwd>
<kwd>SII</kwd>
<kwd>cross-sectional study</kwd>
<kwd>neutrophil</kwd>
<kwd>lymphocyte</kwd>
</kwd-group>
<counts>
<fig-count count="2"/>
<table-count count="4"/>
<equation-count count="0"/>
<ref-count count="32"/>
<page-count count="9"/>
<word-count count="5054"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Gastroenterology</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec5">
<label>1</label>
<title>Introduction</title>
<p>Gallstone disease is one of the most common digestive disorders and a significant factor in gastrointestinal hospitalization (<xref ref-type="bibr" rid="ref1">1</xref>, <xref ref-type="bibr" rid="ref2">2</xref>). Gallstones are more frequently found in geriatric people and in women than in young people and men (<xref ref-type="bibr" rid="ref3">3</xref>). Studies of the natural course of the disease have shown that the annual incidence of gallstones is 0.60&#x2013;1.39% (<xref ref-type="bibr" rid="ref4">4</xref>). Gallstones are now the second most common primary diagnosis for all gastrointestinal, liver, and pancreatic disorders in the United States, with a prevalence of approximately 20% in developed countries, which is significantly greater than that in developing countries, and the incidence of gallstones continues to increase (<xref ref-type="bibr" rid="ref5">5</xref>&#x2013;<xref ref-type="bibr" rid="ref7">7</xref>). This poses a significant healthcare burden in the United States. Gallstones typically do not cause symptoms, but 3&#x2013;8% of patients experience serious complications, such as acute cholecystitis, gallstone intestinal obstruction, pancreatitis, sepsis or perforation of the gallbladder (<xref ref-type="bibr" rid="ref2">2</xref>, <xref ref-type="bibr" rid="ref8">8</xref>&#x2013;<xref ref-type="bibr" rid="ref10">10</xref>). For these reasons, gallstone disease is acknowledged as a significant public health issue.</p>
<p>Gallstones are solid biliary conglomerates consisting of calcium bilirubinate, mucus, cholesterol monohydrate crystals, and protein aggregates and can be categorized into cholesterol gallstones and pigment gallstones, with the former accounting for more than 70% of all gallstones (<xref ref-type="bibr" rid="ref5">5</xref>, <xref ref-type="bibr" rid="ref11">11</xref>). Age, female, race/genetics, pregnancy, family history of gallstones, and sedentary lifestyle are a few well-known risk factors for gallstones (<xref ref-type="bibr" rid="ref1">1</xref>, <xref ref-type="bibr" rid="ref12">12</xref>&#x2013;<xref ref-type="bibr" rid="ref14">14</xref>).</p>
<p>Inflammation is a key factor in the formation of gallstones according to recent studies. There is a substantial association between circulating inflammatory indicators and inflammatory proteins detected in bile according to studies examining the relationship between inflammation and the likelihood of developing gallstones (<xref ref-type="bibr" rid="ref15">15</xref>). Additionally, both high-sensitivity C-reactive protein (hs-CRP) and C-reactive protein (CRP) are significantly linked to a graeter risk of gallstone disease (<xref ref-type="bibr" rid="ref16">16</xref>, <xref ref-type="bibr" rid="ref17">17</xref>). Gallstones caused by cholesterol have also been linked to certain inflammatory illnesses, such as <italic>Helicobacter pylori</italic> infection (<xref ref-type="bibr" rid="ref18">18</xref>). Researchers have also discovered that combining peripheral lymphocyte, neutrophil, and platelet counts may be a more accurate predictor of the inflammatory state, which is a sign of many diseases (<xref ref-type="bibr" rid="ref19">19</xref>). Initially, used as a prognostic indicator for conditions such as cancer, cerebral hemorrhage, and coronary artery stenosis, the systemic immune-inflammatory index (SII) was first discovered (<xref ref-type="bibr" rid="ref20">20</xref>, <xref ref-type="bibr" rid="ref21">21</xref>). However, nothing is known about the ability of the SII to predict gallstones, and its impact on gallstones has not yet been thoroughly understood. We proposed that SII is a predictor of the risk of gallstones. The present study investigated the association between the SII and gallstones.</p>
</sec>
<sec sec-type="materials|methods" id="sec6">
<label>2</label>
<title>Materials and methods</title>
<sec id="sec7">
<label>2.1</label>
<title>Data source and study population</title>
<p>The National Center for Health Statistics (NCHS) carried out the National Health and Nutrition Examination Survey (NHANES), a national survey with a complex, multistage design. The survey data were released every 2&#x2009;years. The NCHS Ethics Review Board approved our cross-sectional survey study, and information about the data and study design can be obtained online at <ext-link xlink:href="https://www.cdc.gov/nchs/nhanes/" ext-link-type="uri">https://www.cdc.gov/nchs/nhanes/</ext-link>. Prior to collecting demographic, dietary, screening, laboratory, and questionnaire data, each survey respondent provided informed consent (<xref ref-type="bibr" rid="ref22">22</xref>, <xref ref-type="bibr" rid="ref23">23</xref>). A total of 15,560 individuals signed up for the NHANES 2017&#x2013;2020 survey. After cleaning the data, we eliminated those under the age of 20, missing covariate data, information about the SII, and information about gallstones. Finally, 4,950 US adults were included in our dataset for analysis. Sample selection was carried out as shown in <xref ref-type="fig" rid="fig1">Figure 1</xref>.</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption><p>Flowchart for choosing participants. National Health and Nutrition Examination Survey, or NHANES.</p></caption>
<graphic xlink:href="fmed-10-1320735-g001.tif"/>
</fig>
</sec>
<sec id="sec8">
<label>2.2</label>
<title>Definition of the SII and gallstones</title>
<p>Automated hematology analytical equipment (Coulter DxH 800 analyzer) was used to determine neutrophil, lymphocyte, and platelet counts, which were calculated as 10<sup>&#x00AE;</sup>3 cells/l. The SII was defined as the platelet count &#x00D7; neutrophil count/lymphocyte count. Gallstone history was defined by &#x201C;Has DR ever said you have gallstones?.&#x201D; The participants who responded to the inquiry had a history of gallstones that had been medically identified (<xref ref-type="bibr" rid="ref20">20</xref>, <xref ref-type="bibr" rid="ref21">21</xref>).</p>
</sec>
<sec id="sec9">
<label>2.3</label>
<title>Assessment of covariates</title>
<p>This study included an assortment of covariates based on the literature (<xref ref-type="bibr" rid="ref1">1</xref>, <xref ref-type="bibr" rid="ref2">2</xref>, <xref ref-type="bibr" rid="ref12">12</xref>, <xref ref-type="bibr" rid="ref15">15</xref>), such as age, sex (male, female), household poverty-to-income ratio (PIR), educational level (below high school, high school, and above), smoking history (never, former, current), body mass index (BMI), cholesterol level (mg/dl), diabetes and cardiovascular disease (CVD), and dietary intake factors Between 2017 and 2020, every person performed a 24 h dietary recall; our analyses used the initial recall rate. BMI was divided into two categories: nonobese (&#x003C;25&#x2009;kg/m<sup>2</sup>) and obese (&#x2265;25&#x2009;kg/m<sup>2</sup>). A history of CVD was defined as having received a diagnosis of coronary heart disease, congestive heart failure, a heart attack, a stroke, or angina. A self-reported diagnosis of diabetes, self-reported use of diabetes medications, or a fasting blood glucose level&#x2009;&#x003E;&#x2009;126&#x2009;mg/dL or an HbA1c level &#x2265; 6.5% were the criteria for the diagnosis of diabetes.</p>
<p>The study also utilized participant self-report questionnaire data to identify variables such as smoking and drinking habits.</p>
</sec>
<sec id="sec10">
<label>2.4</label>
<title>Statistical analysis</title>
<p>For continuous variables, baseline demographic characteristics are described as the means and standard deviations and for categorical variables, they are described as weighted percentages.</p>
<p>The connection between the SII and gallstones was examined by multifactor logistic regression analysis. Covariates in Model 1 were not adjusted. Gender, age, race/ethnicity, the household income to poverty ratio, and education level were all taken into account in Model 2. Model 3 had additional adjustments to account for BMI, smoking and drinking history, diabetes mellitus (DM) status, and food intake parameters (such as caloric, fat, sugar, and water intake). We carried out smoothed curve fitting and subgroup analysis to further investigate the connection between the SII and gallstones.</p>
<p>The statistical analyses were carried out using EmpowerStats software<xref ref-type="fn" rid="fn0001"><sup>1</sup></xref> and the R package 3.6.1.<xref ref-type="fn" rid="fn0002"><sup>2</sup></xref> <italic>P</italic> value of 0.05 were considered to indicate statistical significance.</p>
</sec>
</sec>
<sec sec-type="results" id="sec11">
<label>3</label>
<title>Results</title>
<sec id="sec12">
<label>3.1</label>
<title>Baseline characteristics</title>
<p><xref ref-type="table" rid="tab1">Table 1</xref> lists the characteristics of the NHANES 2017&#x2013;2020 participants stratified by the SII. This study included 4,950 adult participants in total. The average age was 48.23&#x2009;&#x00B1;&#x2009;16.97&#x2009;years, with 2,272 (49.50%) female and 2,318 (50.50%) male individuals. Significant associations between SII and different factors were found through this study. Participants in the high SII quartile typically had a higher BMI and were more likely to be female, non-Hispanic White, or Gallstones patients.</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption><p>Characteristics of the study population based on SII groups in NHANES 2017&#x2013;2020 (<italic>n</italic>&#x2009;=&#x2009;4,950).</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">SII groups</th>
<th align="center" valign="top">Q1 (&#x2264;314.9)</th>
<th align="center" valign="top">Q2 (314.9&#x2013;446.9)</th>
<th align="center" valign="top">Q3 (446.9&#x2013;608.7)</th>
<th align="center" valign="top">Q4 (&#x003E;608.7)</th>
<th align="center" valign="top"><italic>p</italic>-value</th>
</tr>
<tr>
<th align="left" valign="top">N</th>
<th align="center" valign="top">1,147</th>
<th align="center" valign="top">1,148</th>
<th align="center" valign="top">1,147</th>
<th align="center" valign="top">1,148</th>
<th/>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Age (years)</td>
<td align="center" valign="top">48.57&#x2009;&#x00B1;&#x2009;16.40</td>
<td align="center" valign="top">47.65&#x2009;&#x00B1;&#x2009;17.06</td>
<td align="center" valign="top">47.84&#x2009;&#x00B1;&#x2009;17.05</td>
<td align="center" valign="top">48.85&#x2009;&#x00B1;&#x2009;17.35</td>
<td align="center" valign="top">0.266</td>
</tr>
<tr>
<td align="left" valign="top">TC (mg/dl)</td>
<td align="center" valign="top">186.75&#x2009;&#x00B1;&#x2009;41.37</td>
<td align="center" valign="top">188.35&#x2009;&#x00B1;&#x2009;41.80</td>
<td align="center" valign="top">186.34&#x2009;&#x00B1;&#x2009;39.58</td>
<td align="center" valign="top">186.04&#x2009;&#x00B1;&#x2009;40.99</td>
<td align="center" valign="top">0.536</td>
</tr>
<tr>
<td align="left" valign="top">Energy (kcal)</td>
<td align="center" valign="top">2233.65&#x2009;&#x00B1;&#x2009;1037.03</td>
<td align="center" valign="top">2204.29&#x2009;&#x00B1;&#x2009;1042.23</td>
<td align="center" valign="top">2187.09&#x2009;&#x00B1;&#x2009;987.35</td>
<td align="center" valign="top">2218.29&#x2009;&#x00B1;&#x2009;1033.69</td>
<td align="center" valign="top">0.743</td>
</tr>
<tr>
<td align="left" valign="top">Total sugars (g)</td>
<td align="center" valign="top">104.76&#x2009;&#x00B1;&#x2009;75.54</td>
<td align="center" valign="top">103.06&#x2009;&#x00B1;&#x2009;73.06</td>
<td align="center" valign="top">107.74&#x2009;&#x00B1;&#x2009;74.22</td>
<td align="center" valign="top">110.99&#x2009;&#x00B1;&#x2009;80.91</td>
<td align="center" valign="top">0.073</td>
</tr>
<tr>
<td align="left" valign="top">Total fat (g)</td>
<td align="center" valign="top">90.61&#x2009;&#x00B1;&#x2009;50.54</td>
<td align="center" valign="top">90.81&#x2009;&#x00B1;&#x2009;52.14</td>
<td align="center" valign="top">88.98&#x2009;&#x00B1;&#x2009;47.20</td>
<td align="center" valign="top">90.90&#x2009;&#x00B1;&#x2009;50.42</td>
<td align="center" valign="top">0.784</td>
</tr>
<tr>
<td align="left" valign="top">Total moisture (g)</td>
<td align="center" valign="top">3049.70&#x2009;&#x00B1;&#x2009;1622.86</td>
<td align="center" valign="top">2993.15&#x2009;&#x00B1;&#x2009;1563.16</td>
<td align="center" valign="top">2990.14&#x2009;&#x00B1;&#x2009;1633.23</td>
<td align="center" valign="top">3044.45&#x2009;&#x00B1;&#x2009;1545.70</td>
<td align="center" valign="top">0.718</td>
</tr>
<tr>
<td align="left" valign="top">Gender</td>
<td/>
<td/>
<td/>
<td/>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">Male</td>
<td align="center" valign="top">669 (58.33%)</td>
<td align="center" valign="top">601 (52.35%)</td>
<td align="center" valign="top">523 (45.60%)</td>
<td align="center" valign="top">525 (45.73%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Female</td>
<td align="center" valign="top">478 (41.67%)</td>
<td align="center" valign="top">547 (47.65%)</td>
<td align="center" valign="top">624 (54.40%)</td>
<td align="center" valign="top">623 (54.27%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">BMI</td>
<td/>
<td/>
<td/>
<td/>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">&#x003C;25 (kg/m<sup>2</sup>)</td>
<td align="center" valign="top">335 (29.21%)</td>
<td align="center" valign="top">290 (25.26%)</td>
<td align="center" valign="top">255 (22.23%)</td>
<td align="center" valign="top">248 (21.60%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x2265;25 (kg/m<sup>2</sup>)</td>
<td align="center" valign="top">812 (70.79%)</td>
<td align="center" valign="top">858 (74.74%)</td>
<td align="center" valign="top">892 (77.77%)</td>
<td align="center" valign="top">900 (78.40%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Race</td>
<td/>
<td/>
<td/>
<td/>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">Mexican American</td>
<td align="center" valign="top">132 (11.51%)</td>
<td align="center" valign="top">161 (14.02%)</td>
<td align="center" valign="top">142 (12.38%)</td>
<td align="center" valign="top">123 (10.71%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Other Hispanic</td>
<td align="center" valign="top">91 (7.93%)</td>
<td align="center" valign="top">121 (10.54%)</td>
<td align="center" valign="top">105 (9.15%)</td>
<td align="center" valign="top">132 (11.50%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Non-Hispanic White</td>
<td align="center" valign="top">299 (26.07%)</td>
<td align="center" valign="top">448 (39.02%)</td>
<td align="center" valign="top">491 (42.81%)</td>
<td align="center" valign="top">533 (46.43%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Non-Hispanic Black</td>
<td align="center" valign="top">436 (38.01%)</td>
<td align="center" valign="top">267 (23.26%)</td>
<td align="center" valign="top">250 (21.80%)</td>
<td align="center" valign="top">196 (17.07%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Other race</td>
<td align="center" valign="top">189 (16.48%)</td>
<td align="center" valign="top">151 (13.15%)</td>
<td align="center" valign="top">159 (13.86%)</td>
<td align="center" valign="top">164 (14.29%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Educational level</td>
<td/>
<td/>
<td/>
<td/>
<td align="center" valign="top">0.727</td>
</tr>
<tr>
<td align="left" valign="top">Below high school</td>
<td align="center" valign="top">137 (11.94%)</td>
<td align="center" valign="top">158 (13.76%)</td>
<td align="center" valign="top">156 (13.60%)</td>
<td align="center" valign="top">158 (13.76%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">High school</td>
<td align="center" valign="top">265 (23.10%)</td>
<td align="center" valign="top">259 (22.56%)</td>
<td align="center" valign="top">256 (22.32%)</td>
<td align="center" valign="top">276 (24.04%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Above</td>
<td align="center" valign="top">745 (64.95%)</td>
<td align="center" valign="top">731 (63.68%)</td>
<td align="center" valign="top">735 (64.08%)</td>
<td align="center" valign="top">714 (62.20%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">PIR</td>
<td/>
<td/>
<td/>
<td/>
<td align="center" valign="top">0.052</td>
</tr>
<tr>
<td align="left" valign="top">&#x003C;1.8</td>
<td align="center" valign="top">302 (26.33%)</td>
<td align="center" valign="top">268 (23.34%)</td>
<td align="center" valign="top">274 (23.89%)</td>
<td align="center" valign="top">297 (25.87%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">1.8&#x2013;2.3</td>
<td align="center" valign="top">430 (37.49%)</td>
<td align="center" valign="top">429 (37.37%)</td>
<td align="center" valign="top">433 (37.75%)</td>
<td align="center" valign="top">470 (40.94%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x003E;2.3</td>
<td align="center" valign="top">415 (36.18%)</td>
<td align="center" valign="top">451 (39.29%)</td>
<td align="center" valign="top">440 (38.36%)</td>
<td align="center" valign="top">381 (33.19%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Alcohol</td>
<td/>
<td/>
<td/>
<td/>
<td align="center" valign="top">0.369</td>
</tr>
<tr>
<td align="left" valign="top">&#x2264;2 drink/day</td>
<td align="center" valign="top">946 (82.48%)</td>
<td align="center" valign="top">914 (79.62%)</td>
<td align="center" valign="top">932 (81.26%)</td>
<td align="center" valign="top">927 (80.75%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x003E;2 drink/day</td>
<td align="center" valign="top">201 (17.52%)</td>
<td align="center" valign="top">234 (20.38%)</td>
<td align="center" valign="top">215 (18.74%)</td>
<td align="center" valign="top">221 (19.25%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Smoke status</td>
<td/>
<td/>
<td/>
<td/>
<td align="center" valign="top">0.499</td>
</tr>
<tr>
<td align="left" valign="top">Never</td>
<td align="center" valign="top">641 (55.88%)</td>
<td align="center" valign="top">639 (55.66%)</td>
<td align="center" valign="top">643 (56.06%)</td>
<td align="center" valign="top">610 (53.14%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Former</td>
<td align="center" valign="top">279 (24.32%)</td>
<td align="center" valign="top">290 (25.26%)</td>
<td align="center" valign="top">282 (24.59%)</td>
<td align="center" valign="top">281 (24.48%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Now</td>
<td align="center" valign="top">227 (19.79%)</td>
<td align="center" valign="top">219 (19.08%)</td>
<td align="center" valign="top">222 (19.35%)</td>
<td align="center" valign="top">257 (22.39%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Diabetes</td>
<td/>
<td/>
<td/>
<td/>
<td align="center" valign="top">0.290</td>
</tr>
<tr>
<td align="left" valign="top">Yes</td>
<td align="center" valign="top">182 (15.87%)</td>
<td align="center" valign="top">186 (16.20%)</td>
<td align="center" valign="top">195 (17.00%)</td>
<td align="center" valign="top">214 (18.64%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="center" valign="top">965 (84.13%)</td>
<td align="center" valign="top">962 (83.80%)</td>
<td align="center" valign="top">952 (83.00%)</td>
<td align="center" valign="top">934 (81.36%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Gallstones</td>
<td/>
<td/>
<td/>
<td/>
<td align="center" valign="top">0.019</td>
</tr>
<tr>
<td align="left" valign="top">Yes</td>
<td align="center" valign="top">86 (7.50%)</td>
<td align="center" valign="top">99 (8.62%)</td>
<td align="center" valign="top">119 (10.37%)</td>
<td align="center" valign="top">125 (10.89%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="center" valign="top">1,061 (92.50%)</td>
<td align="center" valign="top">1,049 (91.38%)</td>
<td align="center" valign="top">1,028 (89.63%)</td>
<td align="center" valign="top">1,023 (89.11%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">CVD</td>
<td/>
<td/>
<td/>
<td/>
<td align="center" valign="top">0.301</td>
</tr>
<tr>
<td align="left" valign="top">Yes</td>
<td align="center" valign="top">39 (3.40%)</td>
<td align="center" valign="top">35 (3.05%)</td>
<td align="center" valign="top">51 (4.45%)</td>
<td align="center" valign="top">39 (3.40%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="center" valign="top">1,108 (96.60%)</td>
<td align="center" valign="top">1,113 (96.95%)</td>
<td align="center" valign="top">1,096 (95.55%)</td>
<td align="center" valign="top">1,109 (96.60%)</td>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>TC, Total cholesterol; PIR, Poverty-to-income ratio; BMI, Body mass index; CVD, Cardiovascular disease.</p>
<p>Mean&#x2009;&#x00B1;&#x2009;SD for Age (years), Total cholesterol (mg/dl), Energy (kcal), Total sugars (g), Total fat (g), Total moisture (g); <italic>p</italic> value was calculated by the weighted linear regression model. % for: Gender, Race, Educational level, PIR, Gallstones, Smoking status, Alcohol, CVD and Diabetes. <italic>p</italic> value was calculated by the weighted chi-square test.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec13">
<label>3.2</label>
<title>Association between the SII and gallstones</title>
<p>The relationship between the SII and gallstones is shown in <xref ref-type="table" rid="tab2">Table 2</xref>. A higher SII (third quartile and the highest quartile) was significantly linked to a greater likelihood of developing gallstones than as the first quartile (Q1) according to the unadjusted model (OR&#x2009;=&#x2009;1.43, 95%CI&#x2009;=&#x2009;1.07&#x2013;1.91, <italic>p</italic>&#x2009;=&#x2009;0.016; OR&#x2009;=&#x2009;1.51, 95% CI&#x2009;=&#x2009;1.13&#x2013;2.01, <italic>p</italic>&#x2009;=&#x2009;0.005). Model I with covariate adjustments for sex, age, race, education level, and PIR did not show any statistically significant differences, and Model II, adjusted for additional covariates, also showed no statistically significant differences. However, stratified analyses showed (<xref ref-type="table" rid="tab3">Table 3</xref>) that after adjusting for all covariates, the SII in the highest quartile (Q4) was strongly associated with gallstones among adults &#x003C;50&#x2009;years (OR&#x2009;=&#x2009;2.97, 95%CI&#x2009;=&#x2009;1.72&#x2013;5.16, <italic>p</italic>&#x2009;=&#x2009;0.0001); BMI &#x2265;25&#x2009;kg/m<sup>2</sup> (OR&#x2009;=&#x2009;1.44, 95%CI&#x2009;=&#x2009;1.09&#x2013;1.99, <italic>p</italic>&#x2009;=&#x2009;0.024); nonalcoholics (OR&#x2009;=&#x2009;1.50, 95%CI&#x2009;=&#x2009;1.09&#x2013;2.06, <italic>p</italic>&#x2009;=&#x2009;0.013); nondiabetics (OR&#x2009;=&#x2009;1.13, 95%CI&#x2009;=&#x2009;1.16&#x2013;2.30, <italic>p</italic>&#x2009;=&#x2009;0.005), and nosmokers (OR&#x2009;=&#x2009;1.79, 95%CI&#x2009;=&#x2009;1.18&#x2013;2.73, <italic>p</italic>&#x2009;=&#x2009;0.007). These findings imply that a variety of variables may have an impact on the relationship between the SII and the likelihood of gallstone prevalence.</p>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption><p>The associations between SII and gallstones.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">SII</th>
<th align="center" valign="top" colspan="2">Non-adjusted</th>
<th align="center" valign="top" colspan="2">Adjust I</th>
<th align="center" valign="top" colspan="2">Adjust II</th>
</tr>
<tr>
<th/>
<th align="center" valign="top">OR (95% CI)</th>
<th align="center" valign="top"><italic>p</italic>-value</th>
<th align="center" valign="top">OR (95% CI)</th>
<th align="center" valign="top"><italic>p</italic>-value</th>
<th align="center" valign="top">OR (95% CI)</th>
<th align="center" valign="top"><italic>p</italic>-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Q1</td>
<td align="center" valign="top">1.0</td>
<td/>
<td align="center" valign="top">1.0</td>
<td/>
<td align="center" valign="top">1.0</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Q2</td>
<td align="center" valign="top">1.16 (0.86, 1.57)</td>
<td align="center" valign="top">0.322</td>
<td align="center" valign="top">1.07 (0.78, 1.46)</td>
<td align="center" valign="top">0.669</td>
<td align="center" valign="top">1.04 (0.75, 1.43)</td>
<td align="center" valign="top">0.821</td>
</tr>
<tr>
<td align="left" valign="top">Q3</td>
<td align="center" valign="top">1.43 (1.07, 1.91)</td>
<td align="center" valign="top">0.016</td>
<td align="center" valign="top">1.26 (0.93, 1.70)</td>
<td align="center" valign="top">0.140</td>
<td align="center" valign="top">1.08 (0.79, 1.48)</td>
<td align="center" valign="top">0.626</td>
</tr>
<tr>
<td align="left" valign="top">Q4</td>
<td align="center" valign="top">1.51 (1.13, 2.01)</td>
<td align="center" valign="top">0.005</td>
<td align="center" valign="top">1.29 (0.96, 1.75)</td>
<td align="center" valign="top">0.096</td>
<td align="center" valign="top">1.10 (0.80, 1.51)</td>
<td align="center" valign="top">0.554</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>The non-adjusted model adjusts for: None. Adjust I model to adjust for Gender; Age (years); Race; Ratio of family income to poverty; Education; Adjust II models adjust for Gender; Age (years); Race; Ratio of family income to poverty; Education; BMI; Energy (kcal); Total sugars (g), Total fat (g), Total moisture (g); Drinking; Smoking; Diabetes and Total cholesterol.</p>
</table-wrap-foot>
</table-wrap>
<table-wrap position="float" id="tab3">
<label>Table 3</label>
<caption><p>Stratified analyses for the association between SII and gallstones.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Stratified variable</th>
<th align="center" valign="top">N</th>
<th align="center" valign="top">Q1</th>
<th align="center" valign="top">Q2</th>
<th align="center" valign="top">Q3</th>
<th align="center" valign="top">Q4</th>
</tr>
</thead>
<tbody>
<tr>
<td/>
<td/>
<td align="center" valign="top">Ref</td>
<td align="center" valign="top">OR (95% CI)<break/><italic>p</italic>-value</td>
<td align="center" valign="top">OR (95% CI)<break/><italic>p</italic>-value</td>
<td align="center" valign="top">OR (95% CI)<break/><italic>p</italic>-value</td>
</tr>
<tr>
<td align="left" valign="top">Gender</td>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Male</td>
<td align="center" valign="top">2,318</td>
<td align="center" valign="top">1.0</td>
<td align="center" valign="top">1.50 (0.90, 2.49)</td>
<td align="center" valign="top">0.95 (0.53, 1.70)</td>
<td align="center" valign="top">1.58 (0.94, 2.66)</td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td align="center" valign="top">0.120</td>
<td align="center" valign="top">0.857</td>
<td align="center" valign="top">0.084</td>
</tr>
<tr>
<td align="left" valign="top">Female</td>
<td align="center" valign="top">2,272</td>
<td align="center" valign="top">1.0</td>
<td align="center" valign="top">0.98 (0.66, 1.45)</td>
<td align="center" valign="top">1.31 (0.91, 1.88)</td>
<td align="center" valign="top">1.22 (0.84, 1.75)</td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td align="center" valign="top">0.921</td>
<td align="center" valign="top">0.148</td>
<td align="center" valign="top">0.293</td>
</tr>
<tr>
<td align="left" valign="top">Age (years)</td>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x003C;50</td>
<td align="center" valign="top">2,420</td>
<td align="center" valign="top">1.0</td>
<td align="center" valign="top">1.64 (0.91, 2.98)</td>
<td align="center" valign="top">2.43 (1.39, 4.26)</td>
<td align="center" valign="top">2.97 (1.72, 5.16)</td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td align="center" valign="top">0.101</td>
<td align="center" valign="top">0.002</td>
<td align="center" valign="top">0.0001</td>
</tr>
<tr>
<td align="left" valign="top">&#x2265;50</td>
<td align="center" valign="top">2,170</td>
<td align="center" valign="top">1.0</td>
<td align="center" valign="top">1.12 (0.77, 1.62)</td>
<td align="center" valign="top">1.10 (0.76, 1.59)</td>
<td align="center" valign="top">0.99 (0.68, 1.44)</td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td align="center" valign="top">0.545</td>
<td align="center" valign="top">0.618</td>
<td align="center" valign="top">0.974</td>
</tr>
<tr>
<td align="left" valign="top">BMI</td>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x003C;25 (kg/m<sup>2</sup>)</td>
<td align="center" valign="top">1,128</td>
<td align="center" valign="top">1.0</td>
<td align="center" valign="top">1.09 (0.48, 2.45)</td>
<td align="center" valign="top">0.79 (0.32, 1.95)</td>
<td align="center" valign="top">0.94 (0.39, 2.27)</td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td align="center" valign="top">0.838</td>
<td align="center" valign="top">0.606</td>
<td align="center" valign="top">0.890</td>
</tr>
<tr>
<td align="left" valign="top">&#x2265;25 (kg/m<sup>2</sup>)</td>
<td align="center" valign="top">3,462</td>
<td align="center" valign="top">1.0</td>
<td align="center" valign="top">1.16 (0.83, 1.62)</td>
<td align="center" valign="top">1.38 (1.00, 1.90)</td>
<td align="center" valign="top">1.44 (1.05, 1.99)</td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td align="center" valign="top">0.386</td>
<td align="center" valign="top">0.053</td>
<td align="center" valign="top">0.024</td>
</tr>
<tr>
<td align="left" valign="top">Race</td>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Mexican American</td>
<td align="center" valign="top">558</td>
<td align="center" valign="top">1.0</td>
<td align="center" valign="top">0.75 (0.33, 1.68)</td>
<td align="center" valign="top">0.73 (0.32, 1.67)</td>
<td align="center" valign="top">0.82 (0.36, 1.90)</td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td align="center" valign="top">0.482</td>
<td align="center" valign="top">0.455</td>
<td align="center" valign="top">0.649</td>
</tr>
<tr>
<td align="left" valign="top">Other Hispanic</td>
<td align="center" valign="top">449</td>
<td align="center" valign="top">1.0</td>
<td align="center" valign="top">1.80 (0.69, 4.68)</td>
<td align="center" valign="top">1.46 (0.53, 4.03)</td>
<td align="center" valign="top">1.06 (0.39, 2.91)</td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td align="center" valign="top">0.227</td>
<td align="center" valign="top">0.468</td>
<td align="center" valign="top">0.907</td>
</tr>
<tr>
<td align="left" valign="top">Non-Hispanic White</td>
<td align="center" valign="top">1771</td>
<td align="center" valign="top">1.0</td>
<td align="center" valign="top">0.61 (0.36, 1.05)</td>
<td align="center" valign="top">1.19 (0.75, 1.91)</td>
<td align="center" valign="top">1.24 (0.78, 1.97)</td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td align="center" valign="top">0.074</td>
<td align="center" valign="top">0.461</td>
<td align="center" valign="top">0.353</td>
</tr>
<tr>
<td align="left" valign="top">Non-Hispanic Black</td>
<td align="center" valign="top">1,149</td>
<td align="center" valign="top">1.0</td>
<td align="center" valign="top">1.98 (1.06, 3.70)</td>
<td align="center" valign="top">1.78 (0.93, 3.43)</td>
<td align="center" valign="top">1.59 (0.78, 3.24)</td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td align="center" valign="top">0.033</td>
<td align="center" valign="top">0.082</td>
<td align="center" valign="top">0.202</td>
</tr>
<tr>
<td align="left" valign="top">Other Race</td>
<td align="center" valign="top">663</td>
<td align="center" valign="top">1.0</td>
<td align="center" valign="top">1.56 (0.69, 3.54)</td>
<td align="center" valign="top">0.99 (0.41, 2.40)</td>
<td align="center" valign="top">1.36 (0.59, 3.12)</td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td align="center" valign="top">0.289</td>
<td align="center" valign="top">0.983</td>
<td align="center" valign="top">0.475</td>
</tr>
<tr>
<td align="left" valign="top">Alcohol</td>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x2264;2 drink/day</td>
<td align="center" valign="top">3,719</td>
<td align="center" valign="top">1.0</td>
<td align="center" valign="top">1.19 (0.85, 1.67)</td>
<td align="center" valign="top">1.36 (0.98, 1.88)</td>
<td align="center" valign="top">1.50 (1.09, 2.06)</td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td align="center" valign="top">0.300</td>
<td align="center" valign="top">0.063</td>
<td align="center" valign="top">0.013</td>
</tr>
<tr>
<td align="left" valign="top">&#x003E;2 drink/day</td>
<td align="center" valign="top">871</td>
<td align="center" valign="top">1.0</td>
<td align="center" valign="top">1.26 (0.57, 2.79)</td>
<td align="center" valign="top">1.45 (0.65, 3.24)</td>
<td align="center" valign="top">1.28 (0.57, 2.90)</td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td align="center" valign="top">0.569</td>
<td align="center" valign="top">0.365</td>
<td align="center" valign="top">0.546</td>
</tr>
<tr>
<td align="left" valign="top">Smoke status</td>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Never</td>
<td align="center" valign="top">2,533</td>
<td align="center" valign="top">1.0</td>
<td align="center" valign="top">1.11 (0.70, 1.75)</td>
<td align="center" valign="top">1.44 (0.93, 2.23)</td>
<td align="center" valign="top">1.79 (1.18, 2.73)</td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td align="center" valign="top">0.652</td>
<td align="center" valign="top">0.100</td>
<td align="center" valign="top">0.007</td>
</tr>
<tr>
<td align="left" valign="top">Former</td>
<td align="center" valign="top">1,132</td>
<td align="center" valign="top">1.0</td>
<td align="center" valign="top">1.08 (0.63, 1.85)</td>
<td align="center" valign="top">1.17 (0.69, 2.00)</td>
<td align="center" valign="top">1.14 (0.67, 1.95)</td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td align="center" valign="top">0.784</td>
<td align="center" valign="top">0.553</td>
<td align="center" valign="top">0.627</td>
</tr>
<tr>
<td align="left" valign="top">Now</td>
<td align="center" valign="top">925</td>
<td align="center" valign="top">1.0</td>
<td align="center" valign="top">1.52 (0.78, 2.99)</td>
<td align="center" valign="top">1.43 (0.73, 2.81)</td>
<td align="center" valign="top">1.12 (0.56, 2.22)</td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td align="center" valign="top">0.222</td>
<td align="center" valign="top">0.294</td>
<td align="center" valign="top">0.754</td>
</tr>
<tr>
<td align="left" valign="top">Diabetes</td>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Yes</td>
<td align="center" valign="top">777</td>
<td align="center" valign="top">1.0</td>
<td align="center" valign="top">1.67 (0.93, 2.98)</td>
<td align="center" valign="top">1.32 (0.73, 2.38)</td>
<td align="center" valign="top">0.89 (0.48, 1.63)</td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td align="center" valign="top">0.085</td>
<td align="center" valign="top">0.360</td>
<td align="center" valign="top">0.707</td>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="center" valign="top">3,813</td>
<td align="center" valign="top">1.0</td>
<td align="center" valign="top">1.03 (0.71, 1.49)</td>
<td align="center" valign="top">1.35 (0.95, 1.92)</td>
<td align="center" valign="top">1.63 (1.16, 2.30)</td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td align="center" valign="top">0.873</td>
<td align="center" valign="top">0.092</td>
<td align="center" valign="top">0.005</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>The results of stratified analysis were adjusted for Gender; Age (years); Race; Ratio of family income to poverty; Education; BMI; Energy (kcal); Total sugars (g), Total fat (g), Total moisture (g); Drinking; Smoking; Diabetes and Total cholesterol; 95% CI, 95% Confidence Interval; OR, Odds Ratio; BMI was categorized as no-obese (&#x003C;25&#x2009;kg/m<sup>2</sup>), and obese (&#x2265;25&#x2009;kg/m<sup>2</sup>).</p>
</table-wrap-foot>
</table-wrap>
<p><xref ref-type="table" rid="tab4">Table 4</xref> shows the results of a subgroup analysis that examined the correlation between SII score and gallstone risk, including of sex, age, race, BMI, smoking status, alcohol consumption, and diabetes. The SII and gallstones significantly correlated in adults under 50&#x2009;year (OR&#x2009;=&#x2009;1.001, 95%CI&#x2009;=&#x2009;1.000&#x2013;1.001, <italic>p</italic>&#x2009;=&#x2009;0.0001). A significant interaction effect between the SII and BMI or nondiabetic patients was also found (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.05). The SII was significantly associated with an increased incidence of gallstones in participants with a BMI &#x2265; of 25&#x2009;kg/m<sup>2</sup> (OR&#x2009;=&#x2009;1.000, 95%CI&#x2009;=&#x2009;1.000, 1.001, <italic>p</italic>&#x2009;=&#x2009;0.014) and nondiabetic participants (OR&#x2009;=&#x2009;1.000, 95%CI&#x2009;=&#x2009;1.000, 1.001, <italic>p</italic>&#x2009;=&#x2009;0.002).</p>
<table-wrap position="float" id="tab4">
<label>Table 4</label>
<caption><p>A subgroup of analyses for the association between SII and gallstones.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Subgroup</th>
<th align="center" valign="top">N</th>
<th align="center" valign="top">OR (95% CI)</th>
<th align="center" valign="top"><italic>p</italic> value</th>
<th align="center" valign="top">p (interaction)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Gender</td>
<td/>
<td/>
<td/>
<td align="center" valign="top">0.504</td>
</tr>
<tr>
<td align="left" valign="top">Male</td>
<td align="center" valign="top">2,318</td>
<td align="center" valign="top">1.000 (1.000, 1.001)</td>
<td align="center" valign="top">0.393</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Female</td>
<td align="center" valign="top">2,272</td>
<td align="center" valign="top">1.000 (1.000, 1.001)</td>
<td align="center" valign="top">0.101</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Age (years)</td>
<td/>
<td/>
<td/>
<td align="center" valign="top">0.029</td>
</tr>
<tr>
<td align="left" valign="top">&#x003C;50</td>
<td align="center" valign="top">2,420</td>
<td align="center" valign="top">1.001 (1.000, 1.001)</td>
<td align="center" valign="top">0.0001</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x2265;50</td>
<td align="center" valign="top">2,170</td>
<td align="center" valign="top">1.000 (1.000, 1.000)</td>
<td align="center" valign="top">0.746</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">BMI</td>
<td/>
<td/>
<td/>
<td align="center" valign="top">0.136</td>
</tr>
<tr>
<td align="left" valign="top">&#x003C;25 (kg/m<sup>2</sup>)</td>
<td align="center" valign="top">1,128</td>
<td align="center" valign="top">1.000 (0.999, 1.001)</td>
<td align="center" valign="top">0.662</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x2265;25 (kg/m<sup>2</sup>)</td>
<td align="center" valign="top">3,462</td>
<td align="center" valign="top">1.000 (1.000, 1.001)</td>
<td align="center" valign="top">0.014</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Race</td>
<td/>
<td/>
<td/>
<td align="center" valign="top">0.462</td>
</tr>
<tr>
<td align="left" valign="top">Mexican American</td>
<td align="center" valign="top">559</td>
<td align="center" valign="top">1.000 (0.999, 1.001)</td>
<td align="center" valign="top">0.620</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Other Hispanic</td>
<td align="center" valign="top">449</td>
<td align="center" valign="top">1.000 (0.999, 1.001)</td>
<td align="center" valign="top">0.829</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Non-Hispanic White</td>
<td align="center" valign="top">1,171</td>
<td align="center" valign="top">1.000 (1.000, 1.001)</td>
<td align="center" valign="top">0.374</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Non-Hispanic Black</td>
<td align="center" valign="top">1,149</td>
<td align="center" valign="top">1.001 (1.000, 1.001)</td>
<td align="center" valign="top">0.024</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Other Race</td>
<td align="center" valign="top">663</td>
<td align="center" valign="top">1.000 (0.999, 1.001)</td>
<td align="center" valign="top">0.704</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Alcohol</td>
<td/>
<td/>
<td/>
<td align="center" valign="top">0.334</td>
</tr>
<tr>
<td align="left" valign="top">&#x2264;2 drink/day</td>
<td align="center" valign="top">3,719</td>
<td align="center" valign="top">1.000 (1.000, 1.001)</td>
<td align="center" valign="top">0.012</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x003E;2 drink/day</td>
<td align="center" valign="top">871</td>
<td align="center" valign="top">1.000 (0.999, 1.001)</td>
<td align="center" valign="top">0.893</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Smoke status</td>
<td/>
<td/>
<td/>
<td align="center" valign="top">0.722</td>
</tr>
<tr>
<td align="left" valign="top">Never</td>
<td align="center" valign="top">2,533</td>
<td align="center" valign="top">1.000 (1.000, 1.001)</td>
<td align="center" valign="top">0.050</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Former</td>
<td align="center" valign="top">1,132</td>
<td align="center" valign="top">1.000 (1.000, 1.001)</td>
<td align="center" valign="top">0.522</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Now</td>
<td align="center" valign="top">925</td>
<td align="center" valign="top">1.000 (1.000, 1.001)</td>
<td align="center" valign="top">0.414</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Diabetes</td>
<td/>
<td/>
<td/>
<td align="center" valign="top">0.002</td>
</tr>
<tr>
<td align="left" valign="top">Yes</td>
<td align="center" valign="top">777</td>
<td align="center" valign="top">1.000 (0.999, 1.000)</td>
<td align="center" valign="top">0.170</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="center" valign="top">3,813</td>
<td align="center" valign="top">1.000 (1.000, 1.001)</td>
<td align="center" valign="top">0.002</td>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>The results of subgroup analysis were adjusted for Ratio of family income to poverty; Education; BMI; Energy (kcal); Total sugars (g), Total fat (g), Total moisture (g) and Total cholesterol.95% CI, 95% Confidence Interval; OR, Odds Ratio; BMI was categorized as no-obese (&#x003C;25&#x2009;kg/m<sup>2</sup>), and obese (&#x2265;25&#x2009;kg/m<sup>2</sup>).</p>
</table-wrap-foot>
</table-wrap>
<p>Smoothed curve fitting results stratified by sex, age, ethnicity, BMI, smoking status, alcohol consumption status, and diabetes status showed that the SII was positively associated with the likelihood of gallstone in participants under 50&#x2009;years and with a BMI &#x2265;25&#x2009;kg/m<sup>2</sup> (<xref ref-type="fig" rid="fig2">Figure 2</xref>).</p>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption><p>The associations between SII and gallstones were stratified by sex, age, ethnicity, BMI, smoking, alcohol consumption, and diabetes.</p></caption>
<graphic xlink:href="fmed-10-1320735-g002.tif"/>
</fig>
</sec>
</sec>
<sec sec-type="discussion" id="sec14">
<label>4</label>
<title>Discussion</title>
<p>This study evaluated the association SII and gallstones of individuals from 4,950 US individuals from the NHANES 2017&#x2013;2020 database. The immune system has long been recognized as a prognostic factor for a number of diseases. A higher SII score was shown to be independently linked to a risk of gallstones in individuals under 50&#x2009;years in this cross-sectional investigation. Even after potential confounders, including sex, age, race/ethnicity, and PIR etc., the association was still maintained. This conclusion was validated by subgroup analysis and smoothed curve fitting. In addition, as the SII score increased, the risk of gallstones was greater in obese and nondiabetic individuals. Importantly, the measurement of the SII is easy to access, which is based on widely used laboratory techniques for determining platelet, lymphocytes, and peripheral neutrophil counts in clinical practice. The SII may be used as a biomarker for gallstones in young people for the purposes of this article.</p>
<p>Previous studies have revealed that inflammation is an important contributor to the occurrence of gallstones, and the immune inflammatory response has been linked to a number of disease processes (<xref ref-type="bibr" rid="ref2">2</xref>, <xref ref-type="bibr" rid="ref16">16</xref>). In one of these investigations, Liu et al. examined into the connection between circulating inflammatory proteins and gallstones and discovered that four ILs&#x2014;IL-6, IL-10 etc.&#x2014;were linked to a greater incidence of gallstones (<xref ref-type="bibr" rid="ref15">15</xref>). C-reactive protein (CRP) and gallstones are directly correlated, with an OR of 1.03, according to Shabanzadeh et al.&#x2019;s study on the connection between metabolic biomarkers and gallstones (<xref ref-type="bibr" rid="ref24">24</xref>). High-sensitivity C-reactive protein (hs-CRP) concentrations were found to be strongly related to an increased risk of gallstones in a study by Tong Liu (<xref ref-type="bibr" rid="ref16">16</xref>). Inflammation is a crucial component in the production of cholesterol gallstones, according to research on a prairie dog model of gallstone formation. In particular, gallstones was detected when high dosages of acetylsalicylic acid (aspirin) were fed to prairie dogs, yet gallstones were not detected in control animals (<xref ref-type="bibr" rid="ref25">25</xref>, <xref ref-type="bibr" rid="ref26">26</xref>).</p>
<p>Studies using mature T or B-cell-free animals (Rag mice), which lack these cells, provide additional proof of the involvement of the immune system in the etiology of gallstones. Only wild-type mice were found to have a high frequency of gallstones (<xref ref-type="bibr" rid="ref26">26</xref>, <xref ref-type="bibr" rid="ref27">27</xref>). This implies that the adaptive immune system, namely, T-cell activity, is likely to be activated by solid cholesterol crystals to cause inflammation. A significant body of research has been performed on the prognostic value of the SII as a straightforward, trustworthy, and less intrusive biomarker in a variety of illnesses. Since lymphocytes are a subgroup of leukocytes that regulate innate and adaptive immune responses, lower peripheral lymphocyte numbers correspond to greater SII values. Additionally, platelets are becoming increasingly acknowledged as important regulators of the inflammatory response. An intrinsic coagulation cascade that results from activated platelets can cause a number of illnesses. Inflammatory conditions can potentially be accelerated by platelets. Monocytes, neutrophils, and lymphocytes contact platelets, which helps to control innate and adaptive responses (<xref ref-type="bibr" rid="ref19">19</xref>, <xref ref-type="bibr" rid="ref28">28</xref>).</p>
<p>Gallstones are the result of a synergistic interaction between hereditary and environmental factors (<xref ref-type="bibr" rid="ref26">26</xref>). Female, obesity, and diabetes are risk factors for gallstones (<xref ref-type="bibr" rid="ref1">1</xref>). It is debatable whether age has a role in gallstone development. In the present study, our findings demonstrated the association of the SII with gallstones only in people under 50&#x2009;years and in obese individuals. In fact, older people have more risk factors than younger people, such as obesity and metabolic syndrome, which are risk factors for diseases in older people; therefore, the effect of the SII on gallstones may be masked by other factors. In addition, the study was shown that the SII is associated with a greater risk of gallstones in nondiabetic patients. However, in this study, diabetes was not specifically typed. Chia-Hung Kao et al. reported a strong correlation between type 2 diabetes and gallstones, but there was a negative correlation between the prevalence of type 1 diabetes and gallstones in patients aged 20&#x2013;40&#x2009;years (<xref ref-type="bibr" rid="ref29">29</xref>). However, in a cohort by Torben J&#x00F8;rgensen et al., gallstone disease was found to be associated with the development of any autoimmune disease, driven mainly by type 1 diabetes and autoimmune thyroid disease. Therefore, the relationship between gallstones and diabetes is currently unclear, and additional studies are needed to confirm it (<xref ref-type="bibr" rid="ref30">30</xref>). It is worth proposing that although high SII scores were found to be significantly associated with gallstones risk in the nondiabetic population in this study, inflammation leads to insulin resistance. Perhaps this group of participants were not diabetic but actually had insulin resistance during inflammation. And previous studies (<xref ref-type="bibr" rid="ref31">31</xref>) have indicated that insulin resistance predisposes patients to bile supersaturation by reducing bile salt secretion leading to bile supersaturation and increasing mucus production by inducing gallbladder inflammation. This is a possible reason why people who are non-diabetic but have a high SII index are susceptible to gallstones.</p>
<p>The accuracy of transabdominal ultrasound in detecting gallstones is more than 95% (<xref ref-type="bibr" rid="ref32">32</xref>). In this study, high SII score was found to be positively associated with gallstones risk in people under 50&#x2009;years of age. Therefore, transabdominal ultrasound testing is necessary to screen for gallstones in people under 50&#x2009;years of age with high SII.</p>
<p>Our study provides an array of advantages that support the accuracy and precision of our findings. First, the NHANES participants were a representative sample of Americans who followed a carefully planned study protocol with stringent quality control and assurance to guarantee the accuracy of our results. To ensure that our findings held true for a wider variety of people, we also performed subgroup analyses and corrected for confounding variables. However, our study has several limitations. First, because it was a cross-sectional study, we were unable to determine how the SII and gallstones are causally related. Second, the entire gallstone dataset was derived through questionnaires, which could be biased by recall. Despite these drawbacks, the association between the SII and the occurrence of gallstones was initially revealed in this paper.</p>
</sec>
<sec sec-type="conclusions" id="sec15">
<label>5</label>
<title>Conclusion</title>
<p>This cross-sectional study suggested that the SII was positively associated with gallstones in US adults aged less than 50&#x2009;years and was more pronounced in the obese population. These findings complement those of previous studies, which still need additional large-scale prospective cohorts for validation.</p>
</sec>
<sec sec-type="data-availability" id="sec16">
<title>Data availability statement</title>
<p>The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/supplementary material.</p>
</sec>
<sec sec-type="ethics-statement" id="sec17">
<title>Ethics statement</title>
<p>The studies involving humans were approved by The NCHS Ethics Review Board approved our cross-sectional survey study, and information about the data and study design can be obtained online at <ext-link xlink:href="https://www.cdc.gov/nchs/nhanes/" ext-link-type="uri">https://www.cdc.gov/nchs/nhanes/</ext-link>. The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.</p>
</sec>
<sec sec-type="author-contributions" id="sec18">
<title>Author contributions</title>
<p>CM: Conceptualization, Data curation, Formal analysis, Methodology, Software, Writing &#x2013; original draft. KL: Conceptualization, Data curation, Writing &#x2013; review &#x0026; editing.</p>
</sec>
</body>
<back>
<ack>
<p>We thank the authors of the included studies. A special thanks to all of the NHANES participants who freely gave their time to make this and other studies possible.</p>
</ack>
<sec sec-type="COI-statement" id="sec19">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="sec100" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<fn-group>
<fn id="fn0001"><p><sup>1</sup><ext-link xlink:href="http://www.empowerstats.com" ext-link-type="uri">http://www.empowerstats.com</ext-link></p></fn>
<fn id="fn0002"><p><sup>2</sup><ext-link xlink:href="http://www.R-project.org" ext-link-type="uri">http://www.R-project.org</ext-link></p></fn>
</fn-group>
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