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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Nutr.</journal-id>
<journal-title>Frontiers in Nutrition</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Nutr.</abbrev-journal-title>
<issn pub-type="epub">2296-861X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fnut.2024.1392960</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Nutrition</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Characterizing the relationships between dietary indices, gallstone prevalence and the need for gallbladder surgery in the general US population</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Jiang</surname> <given-names>Chenyu</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
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<role content-type="https://credit.niso.org/contributor-roles/funding-acquisition/"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
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<role content-type="https://credit.niso.org/contributor-roles/resources/"/>
<role content-type="https://credit.niso.org/contributor-roles/software/"/>
<role content-type="https://credit.niso.org/contributor-roles/supervision/"/>
<role content-type="https://credit.niso.org/contributor-roles/validation/"/>
<role content-type="https://credit.niso.org/contributor-roles/visualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Shao</surname> <given-names>Yaojian</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1031459/overview"/>
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</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Department of Geriatric, Taizhou Central Hospital (Taizhou University Hospital)</institution>, <addr-line>Taizhou, Zhejiang</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>Department of Gastroenterology, Taizhou Central Hospital (Taizhou University Hospital)</institution>, <addr-line>Taizhou, Zhejiang</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by" id="fn0001">
<p>Edited by: Caroline Sarah Stokes, Humboldt University of Berlin, Germany</p>
</fn>
<fn fn-type="edited-by" id="fn0002">
<p>Reviewed by: Salvatore Vaccaro, IRCCS Local Health Authority of Reggio Emilia, Italy</p>
<p>Isabel Gutierrez Diaz, Spanish National Research Council (CSIC), Spain</p>
</fn>
<corresp id="c001">&#x002A;Correspondence: Yaojian Shao, <email>syj_1107@163.com</email></corresp>
</author-notes>
<pub-date pub-type="epub">
<day>07</day>
<month>05</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="collection">
<year>2024</year>
</pub-date>
<volume>11</volume>
<elocation-id>1392960</elocation-id>
<history>
<date date-type="received">
<day>28</day>
<month>02</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>25</day>
<month>04</month>
<year>2024</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2024 Jiang and Shao.</copyright-statement>
<copyright-year>2024</copyright-year>
<copyright-holder>Jiang and Shao</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>Background</title>
<p>The dietary inflammatory index (DII) and composite dietary antioxidant index (CDAI) were developed as tools for use when seeking to assess the potential inflammatory and antioxidant activity of a given diet, respectively. The associations between these indices and gallstone incidence remain largely unexplored.</p>
</sec>
<sec id="sec2">
<title>Objective</title>
<p>The present study sought to clarify how both the DII and the CDAI are related to gallstone incidence and age at first gallbladder surgery among adults in the USA.</p>
</sec>
<sec id="sec3">
<title>Methods</title>
<p>Cross-sectional data from the 2017&#x2013;2020&#x2009;cycles of the National Health and Nutrition Examination Survey (NHANES) pertaining to 12,426 individuals were used to conduct the present study. Data from 2&#x2009;days with 24-h dietary recall were employed when calculating DII and CDAI scores. Relationships between dietary indices and the incidence of gallstones were assessed through logistic regression analyses, while linear regression analyses were employed to characterize how these indices are associated with the age at first gallbladder surgery.</p>
</sec>
<sec id="sec4">
<title>Results</title>
<p>Higher DII scores and lower CDAI scores, which, respectively, denote diets with greater inflammatory potential and reduced antioxidant potential, were found to be associated with higher gallstone incidence even following adjustment for potential confounding factors. Smooth curve fitting suggested that the association between DII and gallstones was nearly linear, whereas that between CDAI and gallstone incidence was nonlinear. Higher DII values were also related to first gallbladder surgery at an earlier age (<italic>&#x03B2;</italic>&#x2009;=&#x2009;&#x2212;0.64, 95% CI: &#x2212;1.26, &#x2212;0.02).</p>
</sec>
<sec id="sec5">
<title>Conclusion</title>
<p>These results emphasize the benefits of anti-inflammatory diets rich in antioxidants, which may help reduce gallstone incidence among adults in the USA. Higher DII scores may also predict the need for gallbladder surgery at a younger age.</p>
</sec>
</abstract>
<kwd-group>
<kwd>DII</kwd>
<kwd>CDAI</kwd>
<kwd>gallstone prevalence</kwd>
<kwd>age at gallbladder surgery</kwd>
<kwd>NHANES</kwd>
</kwd-group>
<counts>
<fig-count count="3"/>
<table-count count="4"/>
<equation-count count="0"/>
<ref-count count="46"/>
<page-count count="10"/>
<word-count count="6114"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Clinical Nutrition</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec6">
<title>Introduction</title>
<p>Gallstones are lithic digestive fluid deposits that can develop in the bile ducts or gallbladder as a consequence of the presence of bile containing atypically high bilirubin or cholesterol levels (<xref ref-type="bibr" rid="ref1">1</xref>). Also referred to as cholelithiasis, gallstones are among the most prevalent diseases of the digestive system, in addition to being the most expensive with respect to their socioeconomic impact as they have a severe negative impact on patient quality of life while requiring the consumption of extensive healthcare resources (<xref ref-type="bibr" rid="ref2">2</xref>). Gallstones impact an estimated 10&#x2013;20% of adults in the world, and while they are asymptomatic in most cases, 20% of affected patients develop gallstone disease that is characterized by cholecystitis, abdominal pain, pancreatitis, and cholangitis, often necessitating surgical removal of the gallbladder for effective management (<xref ref-type="bibr" rid="ref3">3</xref>, <xref ref-type="bibr" rid="ref4">4</xref>). Gallstones can also cause localized and systemic inflammation (<xref ref-type="bibr" rid="ref5">5</xref>) while disrupting normal metabolic activity (<xref ref-type="bibr" rid="ref6">6</xref>, <xref ref-type="bibr" rid="ref7">7</xref>).</p>
<p>In prior studies, a wide range of gallstone-related risk factors have been identified including female sex, advanced age, dietary factors, and metabolic syndrome, characterized by a combination of insulin resistance, diabetes mellitus, obesity, and a lack of physical activity (<xref ref-type="bibr" rid="ref8">8</xref>, <xref ref-type="bibr" rid="ref9">9</xref>). Diet plays a particularly important role in the incidence of gallstones, with the consumption of high levels of carbohydrates, a highly caloric diet, a high glycemic load, and low levels of fiber, vegetable, and fruit consumption all being related to this outcome (<xref ref-type="bibr" rid="ref10 ref11 ref12">10&#x2013;12</xref>). Given a growing focus on the potential importance of diet-related inflammation, the dietary inflammatory index (DII) was designed as a tool capable of capturing and representing the impact of different dietary factors on the production of inflammatory biomarkers including C-reactive protein (CRP), interleukin (IL)-1&#x03B2;, IL-4, IL-6, IL-10, and tumor necrosis factor (TNF)-a (<xref ref-type="bibr" rid="ref13">13</xref>). The DII provides a comprehensive estimate of the inflammatory potential of a given diet based on the consumption of foods with anti- or pro-inflammatory effects, with higher values being indicative of a diet that is potentially more inflammatory (<xref ref-type="bibr" rid="ref14">14</xref>, <xref ref-type="bibr" rid="ref15">15</xref>). The composite dietary antioxidant index (CDAI) is another index that captures information regarding the antioxidant properties of a given diet (<xref ref-type="bibr" rid="ref16">16</xref>), with diets rich in selenium, zinc, and other antioxidants being better suited to mitigating oxidative stress, potentially leading to a reduction in gallstone incidence (<xref ref-type="bibr" rid="ref17">17</xref>, <xref ref-type="bibr" rid="ref18">18</xref>).</p>
<p>While each of these indices has previously been leveraged to test the relationships between the inflammatory potential of an individual&#x2019;s diet and their risk of gallstones (<xref ref-type="bibr" rid="ref19">19</xref>, <xref ref-type="bibr" rid="ref20">20</xref>), these prior studies have been subject to limitations and there have not been any simultaneous investigations of these indices in the general US adult population. Epidemiological data are thus lacking regarding the degree to which DII and CDAI scores represent potential gallstone-related risk factors. Dietary potential is a metric that is increasingly being evaluated when conducting epidemiologic and interventional studies aimed at the treatment and management of gallstones, underscoring a need to validate the associations between these biomarkers and gallstone disease activity. This study was thus developed to separately explore how dietary profiles, as measured with DII and CDAI values, are related to gallstone prevalence and other metrics among adults in the USA.</p>
</sec>
<sec sec-type="methods" id="sec7">
<title>Method</title>
<sec id="sec8">
<title>Study subject data</title>
<p>The NHANES study employs a complex methodological approach to select representative subjects from the general US population every other year. The primary goal of this ongoing study is to gauge the nutritional and health status of US participants. The National Center for Health Statistics Institutional Review Board approved the NHANES study, with all participants having provided written informed consent to participate. In total, 24,814 individuals partook in the 2017&#x2013;2020 NHANES cycle. The dietary information was obtained through two 24-h dietary recall interviews to calculate the DII and CDAI score. Following the exclusion of participants for whom dietary recall or gallstone questionnaire data were missing, all remaining subjects were included in the present analysis (<xref ref-type="fig" rid="fig1">Figure 1</xref>).</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>Study participant selection flow chart.</p>
</caption>
<graphic xlink:href="fnut-11-1392960-g001.tif"/>
</fig>
</sec>
<sec id="sec9">
<title>DII calculations</title>
<p>DII values provide a comprehensive system used to score the potential inflammatory properties of a given individual&#x2019;s diet (<xref ref-type="bibr" rid="ref13">13</xref>). In total, 28 different parameters were taken into consideration when calculating DII values, including energy, carbohydrates, protein, alcohol, fiber, cholesterol, total fat, saturated fat, polyunsaturated fatty acid, monounsaturated fatty acid, n-3 fatty acids, n-6 fatty acids, niacin, levels of vitamins A, B1, B2, B6, B12, C, D, and E, beta carotene, iron, magnesium, zinc, selenium, folic acid, and caffeine. Negative and positive scores were, respectively, employed for anti- and pro-inflammatory compounds. Individual scores were then summed together to yield a comprehensive DII score capturing overall dietary inflammatory potential. DII values were then used to group subjects into four quartiles.</p>
</sec>
<sec id="sec10">
<title>CDAI calculations</title>
<p>The CDAI serves as a composite index first developed by Wright et al. that seeks to capture information regarding dietary antioxidant intake (<xref ref-type="bibr" rid="ref21">21</xref>). CDAI values were computed based on 24-h recall data pertaining to the intake of dietary carotenoids, selenium, zinc, and vitamins A, C, and E, normalizing the intake of these antioxidants with a zero-mean method [(daily intake of antioxidant &#x2013; mean intake of antioxidant)/standard deviation] (<xref ref-type="bibr" rid="ref22">22</xref>). Levels of standardized dietary antioxidant intake were summed together, thereby enabling CDAI calculations. CDAI scores were further used to group study participants into four quartiles.</p>
</sec>
<sec id="sec11">
<title>Other analyzed covariates</title>
<p>Other covariates analyzed for study participants included age (years), sex (male, female), ethnicity (Mexican American, Other Hispanic, Non-Hispanic White, Non-Hispanic Black, other), family poverty to income ratio (PIR), educational status (&#x003C; high school, high school, &#x003E; high school), body mass index (BMI), physical activity (no, moderate, vigorous, both [including moderate and vigorous]), energy intake (kcal), smoking status (yes/no), incidence of hypertension, hyperlipidemia, and diabetes mellitus (all yes/no) and use of contraceptives (yes/no), estrogens (yes/no), and fibrates (yes/no). BMI values were determined based on weight (kg) divided by the square of height (m<sup>2</sup>), and these values were used to classify individuals as being normal (&#x003C;25&#x2009;kg/m<sup>2</sup>), overweight (25 to &#x003C;30&#x2009;kg/m<sup>2</sup>), or obese (&#x2265;30&#x2009;kg/m<sup>2</sup>). Laboratory parameters that were measured included levels of triglycerides (TG, mmol/L), total cholesterol (TC, mmol/L), glycated hemoglobin (HbA1c), albumin (g/dl), high-density lipoprotein cholesterol (HDL, mmol/L), and low-density lipoprotein cholesterol (LDL, mmol/L).</p>
</sec>
<sec id="sec12">
<title>Outcome variables</title>
<p>Both gallstone incidence and age at first gallbladder surgery were evaluated with a questionnaire. In total, 1,381 participants provided information regarding their age at first gallbladder surgery, including 379 patients who underwent gallbladder surgery for reasons other than gallstones.</p>
</sec>
<sec id="sec13">
<title>Statistical analyses</title>
<p>NHANES sample weights were applied to account for the complex multi-stage cluster design of the underlying data. Categorical data were given as numbers (weighted percentages) and compared using chi-squared tests, whereas continuous variables were reported as means &#x00B1; standard error (SE) and compared with Student&#x2019;s <italic>t</italic>-tests. Odds ratios (ORs) and corresponding 95% confidence intervals (CIs) were calculated for the associations between individual dietary indices and gallstone incidence through univariate and multivariate-adjusted logistic regression approaches. These indices were treated as both continuous variables and categorical variables when conducting these weighted logistic regression analyses, separating values into quartiles in the latter case. Model 1 was unadjusted, while Model 2 was adjusted for age, sex, and ethnicity, and Model 3 was further adjusted for BMI, smoking history, physical activity, TG, TC, hyperlipidemia, hypertension, diabetes mellitus, contraceptives, estrogens, and fibrates. Potential nonlinear associations between these dietary indices and the prevalence of gallstones were tested through the use of restricted cubic spline (RCS) models. RCS curves were also used to examine the potential for nonlinearity with respect to associations between dietary indices and age at first gallbladder surgery. R (v 4.2.2) was used to conduct all statistical analyses, with <italic>p</italic>&#x2009;&#x003C;&#x2009;0.05 serving as the threshold to define significance.</p>
</sec>
</sec>
<sec sec-type="results" id="sec14">
<title>Results</title>
<sec id="sec15">
<title>Study participants and baseline characteristics</title>
<p>In total, 12,426 adults in the USA were included in this analysis, of whom 1,370 had gallstones (<xref ref-type="table" rid="tab1">Table 1</xref>). Average DII scores among patients with gallstones were higher than in healthy subjects (1.80 [0.06] vs. 1.42 [0.05]), whereas CDAI scores were lower among individuals with gallstones (0.37 [0.13] vs. 0.81 [0.08]). Individuals with gallstones were more likely to be older, female, smokers, individuals with higher BMI values, individuals engaged in less physical activity, and individuals with hyperlipidemia, hypertension, and diabetes mellitus. Participant characteristics in each DII and CDAI quartile are presented in <xref ref-type="sec" rid="sec26">Supplementary Tables S1</xref>, <xref ref-type="sec" rid="sec26">S2</xref>.</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>Participant characteristics.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th align="center" valign="top">Non-gallstones</th>
<th align="center" valign="top">Gallstones</th>
<th align="center" valign="top"><italic>p</italic> value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="bottom">DII</td>
<td align="center" valign="bottom">1.42 (0.05)</td>
<td align="center" valign="bottom">1.80 (0.06)</td>
<td align="center" valign="bottom">&#x003C;0.0001</td>
</tr>
<tr>
<td align="left" valign="bottom">CDAI</td>
<td align="center" valign="bottom">0.81 (0.08)</td>
<td align="center" valign="bottom">0.37 (0.13)</td>
<td align="center" valign="bottom">0.002</td>
</tr>
<tr>
<td align="left" valign="bottom">Age (years)</td>
<td align="center" valign="bottom">47.25 (0.43)</td>
<td align="center" valign="bottom">57.52 (0.50)</td>
<td align="center" valign="bottom">&#x003C;0.0001</td>
</tr>
<tr>
<td align="left" valign="bottom">PIR</td>
<td align="center" valign="bottom">3.12 (0.04)</td>
<td align="center" valign="bottom">2.90 (0.06)</td>
<td align="center" valign="bottom">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="bottom">Energy intake (kcal)</td>
<td align="center" valign="bottom">2175.65 (12.70)</td>
<td align="center" valign="bottom">1943.93 (29.65)</td>
<td align="center" valign="bottom">&#x003C;0.0001</td>
</tr>
<tr>
<td align="left" valign="bottom">HbA1c</td>
<td align="center" valign="bottom">5.65 (0.01)</td>
<td align="center" valign="bottom">5.93 (0.03)</td>
<td align="center" valign="bottom">&#x003C;0.0001</td>
</tr>
<tr>
<td align="left" valign="bottom">albumin (g/L)</td>
<td align="center" valign="bottom">41.17 (0.08)</td>
<td align="center" valign="bottom">39.75 (0.16)</td>
<td align="center" valign="bottom">&#x003C;0.0001</td>
</tr>
<tr>
<td align="left" valign="bottom">TG (mmol/L)</td>
<td align="center" valign="bottom">1.26 (0.02)</td>
<td align="center" valign="bottom">1.41 (0.05)</td>
<td align="center" valign="bottom">0.003</td>
</tr>
<tr>
<td align="left" valign="bottom">TC (mmol/L)</td>
<td align="center" valign="bottom">4.89 (0.03)</td>
<td align="center" valign="bottom">4.88 (0.05)</td>
<td align="center" valign="bottom">0.89</td>
</tr>
<tr>
<td align="left" valign="bottom">HDL (mmol/L)</td>
<td align="center" valign="bottom">1.39 (0.01)</td>
<td align="center" valign="bottom">1.36 (0.01)</td>
<td align="center" valign="bottom">0.01</td>
</tr>
<tr>
<td align="left" valign="bottom">LDL (mmol/L)</td>
<td align="center" valign="bottom">2.85 (0.02)</td>
<td align="center" valign="bottom">2.87 (0.06)</td>
<td align="center" valign="bottom">0.73</td>
</tr>
<tr>
<td align="left" valign="bottom">BMI (kg/m<sup>2</sup>)</td>
<td align="center" valign="bottom">29.35 (0.15)</td>
<td align="center" valign="bottom">33.47 (0.39)</td>
<td align="center" valign="bottom">&#x003C;0.0001</td>
</tr>
<tr>
<td align="left" valign="bottom">&#x003C;25</td>
<td align="center" valign="bottom">2,931 (27.49)</td>
<td align="center" valign="bottom">162 (11.99)</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">25&#x2013;30</td>
<td align="center" valign="bottom">3,610 (32.07)</td>
<td align="center" valign="bottom">362 (27.41)</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">&#x003E;30</td>
<td align="center" valign="bottom">4,409 (39.83)</td>
<td align="center" valign="bottom">808 (58.63)</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">Missing</td>
<td align="center" valign="bottom">106 (0.61)</td>
<td align="center" valign="bottom">38 (1.97)</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">Sex (%)</td>
<td/>
<td/>
<td align="center" valign="bottom">&#x003C;0.0001</td>
</tr>
<tr>
<td align="left" valign="bottom">Female</td>
<td align="center" valign="bottom">5,414 (49.36)</td>
<td align="center" valign="bottom">969 (72.75)</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">Male</td>
<td align="center" valign="bottom">5,642 (50.64)</td>
<td align="center" valign="bottom">401 (27.25)</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">Race (%)</td>
<td/>
<td/>
<td align="center" valign="bottom">0.02</td>
</tr>
<tr>
<td align="left" valign="bottom">Mexican American</td>
<td align="center" valign="bottom">1,341 (8.77)</td>
<td align="center" valign="bottom">167 (7.41)</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">Non-Hispanic Black</td>
<td align="center" valign="bottom">2,925 (12.08)</td>
<td align="center" valign="bottom">270 (7.74)</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">Non-Hispanic White</td>
<td align="center" valign="bottom">3,841 (61.59)</td>
<td align="center" valign="bottom">595 (66.38)</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">Other Hispanic</td>
<td align="center" valign="bottom">1,062 (7.31)</td>
<td align="center" valign="bottom">154 (7.64)</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">Other Race</td>
<td align="center" valign="bottom">1,887 (10.25)</td>
<td align="center" valign="bottom">184 (10.83)</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">Educational status (%)</td>
<td/>
<td/>
<td align="center" valign="bottom">0.09</td>
</tr>
<tr>
<td align="left" valign="bottom">Less than high school</td>
<td align="center" valign="bottom">808 (3.45)</td>
<td align="center" valign="bottom">87 (2.92)</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">High school</td>
<td align="center" valign="bottom">3,852 (34.55)</td>
<td align="center" valign="bottom">499 (38.36)</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">More than high school</td>
<td align="center" valign="bottom">6,379 (61.94)</td>
<td align="center" valign="bottom">784 (58.72)</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">Missing</td>
<td align="center" valign="bottom">17 (0.06)</td>
<td align="center" valign="bottom">0 (0.00)</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">Physical activity (%)</td>
<td/>
<td/>
<td align="center" valign="bottom">&#x003C;0.0001</td>
</tr>
<tr>
<td align="left" valign="bottom">No</td>
<td align="center" valign="bottom">5,722 (44.08)</td>
<td align="center" valign="bottom">840 (54.59)</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">Moderate</td>
<td align="center" valign="bottom">2,550 (25.48)</td>
<td align="center" valign="bottom">326 (28.61)</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">Vigorous</td>
<td align="center" valign="bottom">817 (8.70)</td>
<td align="center" valign="bottom">49 (3.23)</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">Both</td>
<td align="center" valign="bottom">1,967 (21.74)</td>
<td align="center" valign="bottom">155 (13.56)</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">Smoke (%)</td>
<td/>
<td/>
<td align="center" valign="bottom">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="bottom">No</td>
<td align="center" valign="bottom">6,414 (58.41)</td>
<td align="center" valign="bottom">731 (52.35)</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">Yes</td>
<td align="center" valign="bottom">4,640 (41.58)</td>
<td align="center" valign="bottom">637 (47.61)</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">Missing</td>
<td align="center" valign="bottom">2 (0.01)</td>
<td align="center" valign="bottom">2 (0.04)</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">Diabetes mellitus (%)</td>
<td/>
<td/>
<td align="center" valign="bottom">&#x003C;0.0001</td>
</tr>
<tr>
<td align="left" valign="bottom">No</td>
<td align="center" valign="bottom">8,814 (84.90)</td>
<td align="center" valign="bottom">895 (72.89)</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">Yes</td>
<td align="center" valign="bottom">2,125 (14.04)</td>
<td align="center" valign="bottom">467 (26.80)</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">Missing</td>
<td align="center" valign="bottom">117 (1.06)</td>
<td align="center" valign="bottom">8 (0.30)</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">Hypertension (%)</td>
<td/>
<td/>
<td align="center" valign="bottom">&#x003C;0.0001</td>
</tr>
<tr>
<td align="left" valign="bottom">No</td>
<td align="center" valign="bottom">6,641 (65.48)</td>
<td align="center" valign="bottom">580 (45.17)</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">Yes</td>
<td align="center" valign="bottom">4,406 (34.45)</td>
<td align="center" valign="bottom">789 (54.80)</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">Missing</td>
<td align="center" valign="bottom">9 (0.07)</td>
<td align="center" valign="bottom">1 (0.03)</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">Hyperlipidemia (%)</td>
<td/>
<td/>
<td align="center" valign="bottom">&#x003C;0.0001</td>
</tr>
<tr>
<td align="left" valign="bottom">No</td>
<td align="center" valign="bottom">3,778 (35.30)</td>
<td align="center" valign="bottom">327 (23.68)</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">Yes</td>
<td align="center" valign="bottom">7,275 (64.70)</td>
<td align="center" valign="bottom">1,043 (76.32)</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">Missing</td>
<td align="center" valign="bottom">3 (0.00)</td>
<td align="center" valign="bottom">0 (0.00)</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">Contraceptives (%)</td>
<td/>
<td/>
<td align="center" valign="bottom">0.67</td>
</tr>
<tr>
<td align="left" valign="bottom">No</td>
<td align="center" valign="bottom">10,776 (96.67)</td>
<td align="center" valign="bottom">1,343 (97.00)</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">Yes</td>
<td align="center" valign="bottom">264 (3.20)</td>
<td align="center" valign="bottom">27 (3.00)</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">Missing</td>
<td align="center" valign="bottom">16 (0.13)</td>
<td align="center" valign="bottom">0 (0.00)</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">Estrogens (%)</td>
<td/>
<td/>
<td align="center" valign="bottom">0.67</td>
</tr>
<tr>
<td align="left" valign="bottom">No</td>
<td align="center" valign="bottom">10,749 (96.07)</td>
<td align="center" valign="bottom">1,327 (95.85)</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">Yes</td>
<td align="center" valign="bottom">291 (3.80)</td>
<td align="center" valign="bottom">43 (4.15)</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">Missing</td>
<td align="center" valign="bottom">16 (0.13)</td>
<td align="center" valign="bottom">0 (0.00)</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">Fibrates (%)</td>
<td/>
<td/>
<td align="center" valign="bottom">0.36</td>
</tr>
<tr>
<td align="left" valign="bottom">No</td>
<td align="center" valign="bottom">10,946 (98.94)</td>
<td align="center" valign="bottom">1,355 (99.35)</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">Yes</td>
<td align="center" valign="bottom">94 (0.93)</td>
<td align="center" valign="bottom">15 (0.65)</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">Missing</td>
<td align="center" valign="bottom">16 (0.13)</td>
<td align="center" valign="bottom">0 (0.00)</td>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>DII, dietary inflammatory index; CDAI, composite dietary antioxidant index; PIR, family poverty to income ratio; BMI, body mass index. [Categorical data were showed as the number of cases (weighted percentages), continuous variables were showed as means (standard error)].</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec16">
<title>Associations between DII/CDAI and gallstone prevalent</title>
<p>To better understand how DII scores related to the incidence of gallstones, three multivariate logistic models were established (<xref ref-type="table" rid="tab2">Table 2</xref>). DII values were significantly associated with gallstone prevalence under Model 1 (OR&#x2009;=&#x2009;1.11; 95% CI, 1.07&#x2013;1.16; <italic>p</italic>&#x2009;&#x003C;&#x2009;0.0001) and Model 2 (OR&#x2009;=&#x2009;1.09; 95% CI, 1.04&#x2013;1.13; <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001). Under Model 3, the OR for this relationship was 1.10 (95%&#x2009;CI, 1.01&#x2013;1.19) such that every unit increase in DII was associated with a 10% rise in the risk of gallstones. When DII was analyzed in quartiles, individuals in the highest quartile (Q4, corresponding to a diet with greater inflammatory potential) exhibited a significant increase in gallstone risk relative to individuals in Q1, although DII scores and gallstone rates were not related in Q2 or Q3 participants. The same association was noted under both Model 2 (adjusted for age, sex, ethnicity) and Model 3 (additionally adjusted for BMI, smoking status, TC, TG, physical activity, hyperlipidemia, hypertension, diabetes mellitus, contraceptives, estrogens, and fibrates).</p>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption>
<p>Logistic regression analyses of the link between dietary index values and the incidence of gallstones.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th align="center" valign="top" colspan="2">Model 1</th>
<th align="center" valign="top" colspan="2">Model 2</th>
<th align="center" valign="top" colspan="2">Model 3</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="bottom">DII</td>
<td align="center" valign="bottom">1.11 (1.07, 1.16)</td>
<td align="center" valign="bottom">&#x003C;0.0001</td>
<td align="center" valign="bottom">1.09 (1.04, 1.13)</td>
<td align="center" valign="bottom">&#x003C;0.001</td>
<td align="center" valign="bottom">1.10 (1.01, 1.19)</td>
<td align="center" valign="bottom">0.03</td>
</tr>
<tr>
<td align="left" valign="bottom">Q1</td>
<td align="center" valign="bottom">Ref</td>
<td/>
<td align="center" valign="bottom">Ref</td>
<td/>
<td align="center" valign="bottom">Ref</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">Q2</td>
<td align="center" valign="bottom">1.08 (0.88, 1.31)</td>
<td align="center" valign="bottom">0.47</td>
<td align="center" valign="bottom">1.05 (0.85, 1.29)</td>
<td align="center" valign="bottom">0.67</td>
<td align="center" valign="bottom">1.27 (0.85, 1.90)</td>
<td align="center" valign="bottom">0.22</td>
</tr>
<tr>
<td align="left" valign="bottom">Q3</td>
<td align="center" valign="bottom">1.33 (1.08, 1.63)</td>
<td align="center" valign="bottom">0.01</td>
<td align="center" valign="bottom">1.18 (0.97, 1.44)</td>
<td align="center" valign="bottom">0.09</td>
<td align="center" valign="bottom">1.32 (0.94, 1.84)</td>
<td align="center" valign="bottom">0.10</td>
</tr>
<tr>
<td align="left" valign="bottom">Q4</td>
<td align="center" valign="bottom">1.66 (1.42, 1.94)</td>
<td align="center" valign="bottom">&#x003C;0.0001</td>
<td align="center" valign="bottom">1.52 (1.27, 1.82)</td>
<td align="center" valign="bottom">&#x003C;0.0001</td>
<td align="center" valign="bottom">1.61 (1.08, 2.39)</td>
<td align="center" valign="bottom">0.02</td>
</tr>
<tr>
<td align="left" valign="bottom"><italic>p</italic> for tend</td>
<td/>
<td align="center" valign="bottom">&#x003C;0.0001</td>
<td/>
<td align="center" valign="bottom">&#x003C;0.001</td>
<td/>
<td align="center" valign="bottom">0.02</td>
</tr>
<tr>
<td align="left" valign="bottom">CDAI</td>
<td align="center" valign="bottom">0.97 (0.95, 0.99)</td>
<td align="center" valign="bottom">0.004</td>
<td align="center" valign="bottom">0.98 (0.96, 0.99)</td>
<td align="center" valign="bottom">0.005</td>
<td align="center" valign="bottom">0.94 (0.91, 0.97)</td>
<td align="center" valign="bottom">0.001</td>
</tr>
<tr>
<td align="left" valign="bottom">Q1</td>
<td align="center" valign="bottom">Ref</td>
<td/>
<td align="center" valign="bottom">Ref</td>
<td/>
<td align="center" valign="bottom">Ref</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">Q2</td>
<td align="center" valign="bottom">0.86 (0.69, 1.07)</td>
<td align="center" valign="bottom">0.17</td>
<td align="center" valign="bottom">0.86 (0.67, 1.10)</td>
<td align="center" valign="bottom">0.23</td>
<td align="center" valign="bottom">0.87 (0.62, 1.21)</td>
<td align="center" valign="bottom">0.38</td>
</tr>
<tr>
<td align="left" valign="bottom">Q3</td>
<td align="center" valign="bottom">0.72 (0.52, 1.01)</td>
<td align="center" valign="bottom">0.06</td>
<td align="center" valign="bottom">0.74 (0.51, 1.06)</td>
<td align="center" valign="bottom">0.10</td>
<td align="center" valign="bottom">0.99 (0.62, 1.58)</td>
<td align="center" valign="bottom">0.97</td>
</tr>
<tr>
<td align="left" valign="bottom">Q4</td>
<td align="center" valign="bottom">0.77 (0.64, 0.93)</td>
<td align="center" valign="bottom">0.01</td>
<td align="center" valign="bottom">0.79 (0.64, 0.97)</td>
<td align="center" valign="bottom">0.03</td>
<td align="center" valign="bottom">0.66 (0.47, 0.91)</td>
<td align="center" valign="bottom">0.02</td>
</tr>
<tr>
<td align="left" valign="bottom"><italic>p</italic> for tend</td>
<td/>
<td align="center" valign="bottom">0.01</td>
<td/>
<td align="center" valign="bottom">0.03</td>
<td/>
<td align="center" valign="bottom">0.04</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>Model 1 had no covariate-adjusted.</p>
<p>Model 2 adjusted age, gender, and race.</p>
<p>Model 3 adjusted age, gender, race, physical activity, BMI, smoke, diabetes mellitus, hypertension, hyperlipidemia, TG, TC, contraceptives, estrogens, and fibrates.</p>
</table-wrap-foot>
</table-wrap>
<p>This same multivariate approach was also employed to examine the association between CDAI values and the incidence of gallstones. Under Model 1, higher CDAI scores were related to a reduction in gallstone risk. Under Model 2 (adjusted for age, sex, ethnicity) and Model 3 (additionally adjusted for BMI, smoking status, TC, TG, physicalactivity, hyperlipidemia, hypertension, diabetes mellitus, contraceptives, estrogens, and fibrates) this same trend was also observed (Model 2: OR&#x2009;=&#x2009;0.98, 95% CI, 0.96&#x2013;0.99, <italic>p</italic>&#x2009;=&#x2009;0.005; Model 3: OR&#x2009;=&#x2009;0.94, 95% CI, 0.91&#x2013;0.97, <italic>p</italic>&#x2009;=&#x2009;0.001). When assessing CDAI scores in quartiles, individuals in CDAI Q4 exhibited a 34% (OR&#x2009;=&#x2009;0.66; 95% CI, 0.47&#x2013;0.91; <italic>p</italic>&#x2009;=&#x2009;0.02) reduction in gallstone risk relative to those in Q1 under Model 3, whereas gallstone risk and CDAI scores were not significantly related in Q2 or Q3 relative to Q1.</p>
<p>Smooth curve fitting revealed a positive non-linear relationship between DII values and gallstone incidence (<xref ref-type="fig" rid="fig2">Figure 2A</xref>), while for CDAI, a negative linear relationship with gallstone incidence was noted at CDAI values below 4.20, whereas gallstone risk remained stable when CDAI scores exceeded this threshold (<xref ref-type="fig" rid="fig2">Figure 2B</xref>).</p>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption>
<p><bold>(A,B)</bold> RCS curves corresponding to the association between the incidence of gallstones and DII <bold>(A)</bold> or CDAI <bold>(B)</bold> values.</p>
</caption>
<graphic xlink:href="fnut-11-1392960-g002.tif"/>
</fig>
<p>Subgroup analysis was conducted to evaluate the consistency of the association between dietary indices and gallstones in different populations (<xref ref-type="table" rid="tab3">Table 3</xref>). DII exhibited a positive correlation with gallstones in the majority of subgroups, whereas a significant association between CDAI and gallstones was solely observed in the Mexican American population and those with a less than high school educational status, no diabetes mellitus, no hypertension, and no use of contraceptives and fibrates. Moreover, The interaction between estrogens and the relationship between CDAI score and gallstone was significant (<italic>p</italic> for interaction&#x2009;=&#x2009;0.03). Subgroup analyses did not detect any significant interactions between DII scores and gallstone incidence among the analyzed subgroups (<italic>p</italic> for interaction &#x003E;0.05).</p>
<table-wrap position="float" id="tab3">
<label>Table 3</label>
<caption>
<p>Subgroup analyses focused on the relationship between dietary index values and the incidence of gallstones.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th align="center" valign="top" colspan="3">DII</th>
<th align="center" valign="top" colspan="3">CDAI</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"><italic>p</italic> for interaction</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"><italic>p</italic> for interaction</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="bottom">BMI (kg/m<sup>2</sup>)</td>
<td/>
<td/>
<td align="center" valign="bottom">0.82</td>
<td/>
<td/>
<td align="center" valign="bottom">0.58</td>
</tr>
<tr>
<td align="left" valign="bottom">&#x003C;25</td>
<td align="center" valign="bottom">1.13 (0.98, 1.30)</td>
<td align="center" valign="bottom">0.09</td>
<td/>
<td align="center" valign="bottom">0.96 (0.89, 1.03)</td>
<td align="center" valign="bottom">0.20</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">25&#x2013;30</td>
<td align="center" valign="bottom">1.07 (1.00, 1.15)</td>
<td align="center" valign="bottom">0.04</td>
<td/>
<td align="center" valign="bottom">0.99 (0.96, 1.03)</td>
<td align="center" valign="bottom">0.71</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">&#x003E;30</td>
<td align="center" valign="bottom">1.09 (1.01, 1.17)</td>
<td align="center" valign="bottom">0.02</td>
<td/>
<td align="center" valign="bottom">0.98 (0.95, 1.01)</td>
<td align="center" valign="bottom">0.17</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">Sex</td>
<td/>
<td/>
<td align="center" valign="bottom">0.24</td>
<td/>
<td/>
<td align="center" valign="bottom">0.62</td>
</tr>
<tr>
<td align="left" valign="bottom">Female</td>
<td align="center" valign="bottom">1.05 (1.00, 1.09)</td>
<td align="center" valign="bottom">0.03</td>
<td/>
<td align="center" valign="bottom">0.98 (0.95, 1.00)</td>
<td align="center" valign="bottom">0.07</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">Male</td>
<td align="center" valign="bottom">1.13 (1.00, 1.26)</td>
<td align="center" valign="bottom">0.04</td>
<td/>
<td align="center" valign="bottom">0.96 (0.91, 1.02)</td>
<td align="center" valign="bottom">0.16</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">Race</td>
<td/>
<td/>
<td align="center" valign="bottom">0.11</td>
<td/>
<td/>
<td align="center" valign="bottom">0.11</td>
</tr>
<tr>
<td align="left" valign="bottom">Non-Hispanic Black</td>
<td align="center" valign="bottom">1.14 (1.06, 1.22)</td>
<td align="center" valign="bottom">&#x003C;0.001</td>
<td/>
<td align="center" valign="bottom">1.00 (0.97, 1.03)</td>
<td align="center" valign="bottom">0.87</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">Other Race</td>
<td align="center" valign="bottom">1.14 (0.91, 1.43)</td>
<td align="center" valign="bottom">0.25</td>
<td/>
<td align="center" valign="bottom">0.99 (0.92, 1.07)</td>
<td align="center" valign="bottom">0.87</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">Non-Hispanic White</td>
<td align="center" valign="bottom">1.08 (1.02, 1.14)</td>
<td align="center" valign="bottom">0.01</td>
<td/>
<td align="center" valign="bottom">0.98 (0.95, 1.01)</td>
<td align="center" valign="bottom">0.21</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">Mexican American</td>
<td align="center" valign="bottom">1.39 (1.27, 1.51)</td>
<td align="center" valign="bottom">&#x003C;0.0001</td>
<td/>
<td align="center" valign="bottom">0.89 (0.85, 0.93)</td>
<td align="center" valign="bottom">&#x003C;0.0001</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">Other Hispanic</td>
<td align="center" valign="bottom">1.23 (1.04, 1.45)</td>
<td align="center" valign="bottom">0.02</td>
<td/>
<td align="center" valign="bottom">0.91 (0.82, 1.00)</td>
<td align="center" valign="bottom">0.05</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">Educational status</td>
<td/>
<td/>
<td align="center" valign="bottom">0.42</td>
<td/>
<td/>
<td align="center" valign="bottom">0.33</td>
</tr>
<tr>
<td align="left" valign="bottom">Less than high school</td>
<td align="center" valign="bottom">1.31 (1.09, 1.57)</td>
<td align="center" valign="bottom">0.004</td>
<td/>
<td align="center" valign="bottom">0.87 (0.79, 0.96)</td>
<td align="center" valign="bottom">0.01</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">High school</td>
<td align="center" valign="bottom">1.10 (1.00, 1.21)</td>
<td align="center" valign="bottom">0.05</td>
<td/>
<td align="center" valign="bottom">0.97 (0.93, 1.02)</td>
<td align="center" valign="bottom">0.26</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">More than high school</td>
<td align="center" valign="bottom">1.11 (1.05, 1.17)</td>
<td align="center" valign="bottom">&#x003C;0.001</td>
<td/>
<td align="center" valign="bottom">0.98 (0.95, 1.01)</td>
<td align="center" valign="bottom">0.16</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">Physical activity (%)</td>
<td/>
<td/>
<td align="center" valign="bottom">0.17</td>
<td/>
<td/>
<td align="center" valign="bottom">0.4</td>
</tr>
<tr>
<td align="left" valign="bottom">No</td>
<td align="center" valign="bottom">1.10 (1.02, 1.18)</td>
<td align="center" valign="bottom">0.02</td>
<td/>
<td align="center" valign="bottom">0.97 (0.95, 1.00)</td>
<td align="center" valign="bottom">0.05</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">Moderate</td>
<td align="center" valign="bottom">1.03 (0.94, 1.14)</td>
<td align="center" valign="bottom">0.51</td>
<td/>
<td align="center" valign="bottom">1.00 (0.96, 1.04)</td>
<td align="center" valign="bottom">0.94</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">Vigorous</td>
<td align="center" valign="bottom">0.92 (0.77, 1.11)</td>
<td align="center" valign="bottom">0.38</td>
<td/>
<td align="center" valign="bottom">1.04 (0.96, 1.12)</td>
<td align="center" valign="bottom">0.32</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">Both</td>
<td align="center" valign="bottom">1.19 (1.05, 1.36)</td>
<td align="center" valign="bottom">0.01</td>
<td/>
<td align="center" valign="bottom">0.95 (0.88, 1.03)</td>
<td align="center" valign="bottom">0.24</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">Smoke</td>
<td/>
<td/>
<td align="center" valign="bottom">0.98</td>
<td/>
<td/>
<td align="center" valign="bottom">0.72</td>
</tr>
<tr>
<td align="left" valign="bottom">No</td>
<td align="center" valign="bottom">1.11 (1.02, 1.20)</td>
<td align="center" valign="bottom">0.01</td>
<td/>
<td align="center" valign="bottom">0.97 (0.94, 1.00)</td>
<td align="center" valign="bottom">0.07</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">Yes</td>
<td align="center" valign="bottom">1.11 (1.04, 1.18)</td>
<td align="center" valign="bottom">0.001</td>
<td/>
<td align="center" valign="bottom">0.98 (0.95, 1.01)</td>
<td align="center" valign="bottom">0.20</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">Diabetes mellitus</td>
<td/>
<td/>
<td align="center" valign="bottom">0.67</td>
<td/>
<td/>
<td align="center" valign="bottom">0.82</td>
</tr>
<tr>
<td align="left" valign="bottom">No</td>
<td align="center" valign="bottom">1.10 (1.05, 1.15)</td>
<td align="center" valign="bottom">&#x003C;0.0001</td>
<td/>
<td align="center" valign="bottom">0.98 (0.96, 1.00)</td>
<td align="center" valign="bottom">0.03</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">Yes</td>
<td align="center" valign="bottom">1.12 (1.03, 1.21)</td>
<td align="center" valign="bottom">0.01</td>
<td/>
<td align="center" valign="bottom">0.97 (0.94, 1.01)</td>
<td align="center" valign="bottom">0.11</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">Hypertension</td>
<td/>
<td/>
<td align="center" valign="bottom">0.88</td>
<td/>
<td/>
<td align="center" valign="bottom">0.03</td>
</tr>
<tr>
<td align="left" valign="bottom">No</td>
<td align="center" valign="bottom">1.11 (1.05, 1.17)</td>
<td align="center" valign="bottom">&#x003C;0.001</td>
<td/>
<td align="center" valign="bottom">0.95 (0.93, 0.98)</td>
<td align="center" valign="bottom">0.002</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">Yes</td>
<td align="center" valign="bottom">1.10 (1.04, 1.17)</td>
<td align="center" valign="bottom">0.002</td>
<td/>
<td align="center" valign="bottom">1.00 (0.97, 1.02)</td>
<td align="center" valign="bottom">0.68</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">Hyperlipidemia</td>
<td/>
<td/>
<td align="center" valign="bottom">1</td>
<td/>
<td/>
<td align="center" valign="bottom">0.72</td>
</tr>
<tr>
<td align="left" valign="bottom">No</td>
<td align="center" valign="bottom">1.11 (1.02, 1.19)</td>
<td align="center" valign="bottom">0.01</td>
<td/>
<td align="center" valign="bottom">0.97 (0.93, 1.01)</td>
<td align="center" valign="bottom">0.12</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">Yes</td>
<td align="center" valign="bottom">1.11 (1.04, 1.17)</td>
<td align="center" valign="bottom">0.001</td>
<td/>
<td align="center" valign="bottom">0.98 (0.95, 1.00)</td>
<td align="center" valign="bottom">0.09</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">Contraceptives</td>
<td/>
<td/>
<td align="center" valign="bottom">0.05</td>
<td/>
<td/>
<td align="center" valign="bottom">0.09</td>
</tr>
<tr>
<td align="left" valign="bottom">No</td>
<td align="center" valign="top">1.11 (1.06, 1.15)</td>
<td align="center" valign="top">&#x003C;0.0001</td>
<td/>
<td align="center" valign="top">0.98 (0.96, 1.00)</td>
<td align="center" valign="top">0.02</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Yes</td>
<td align="center" valign="top">1.46 (1.09, 1.95)</td>
<td align="center" valign="top">0.01</td>
<td/>
<td align="center" valign="top">0.82 (0.66, 1.02)</td>
<td align="center" valign="top">0.07</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Estrogens</td>
<td/>
<td/>
<td align="center" valign="top">0.23</td>
<td/>
<td/>
<td align="center" valign="top">0.03</td>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="center" valign="top">1.11 (1.06, 1.15)</td>
<td align="center" valign="top">&#x003C;0.0001</td>
<td/>
<td align="center" valign="top">0.98 (0.96, 1.00)</td>
<td align="center" valign="top">0.03</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Yes</td>
<td align="center" valign="top">1.35 (0.96, 1.90)</td>
<td align="center" valign="top">0.08</td>
<td/>
<td align="center" valign="top">0.82 (0.70, 0.97)</td>
<td align="center" valign="top">0.02</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Fibrates</td>
<td/>
<td/>
<td align="center" valign="top">0.06</td>
<td/>
<td/>
<td align="center" valign="top">0.63</td>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="center" valign="top">1.11 (1.07, 1.15)</td>
<td align="center" valign="top">&#x003C;0.0001</td>
<td/>
<td align="center" valign="top">0.97 (0.95, 0.99)</td>
<td align="center" valign="top">0.005</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Yes</td>
<td align="center" valign="top">1.38 (1.08, 1.76)</td>
<td align="center" valign="top">0.01</td>
<td/>
<td align="center" valign="top">0.93 (0.74, 1.16)</td>
<td align="center" valign="top">0.48</td>
<td/>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="sec17">
<title>Higher DII scores are related to the need for gallbladder surgery at a younger age</title>
<p>Linear regression analyses were next employed to examine the link between dietary indices and age at first gallbladder surgery in the NHANES cohort. A negative correlation was noted between DII scores and age at first gallbladder surgery (<xref ref-type="table" rid="tab4">Table 4</xref>), with patients requiring surgery at a younger age, on average, with rising DII values. Smooth curve fitting indicated that this association was nonlinear, with a decrease in age at first surgery with increasing DII values at scores below 0.86, while above this breakpoint the curve was M-shaped with an overall downward trend (<xref ref-type="fig" rid="fig3">Figure 3</xref>). CDAI values were not significantly correlated with age at first gallbladder surgery.</p>
<table-wrap position="float" id="tab4">
<label>Table 4</label>
<caption>
<p>Linear regression analyses of the associations between dietary indices and age at first gallbladder surgery.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th align="center" valign="top"><italic>&#x03B2;</italic></th>
<th align="center" valign="top">Standard error</th>
<th align="center" valign="top"><italic>p</italic> value</th>
<th align="center" valign="top">95%CI</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="bottom">DII</td>
<td align="center" valign="bottom">&#x2212;0.64</td>
<td align="center" valign="bottom">0.31</td>
<td align="center" valign="bottom">0.04</td>
<td align="center" valign="bottom">(&#x2212;1.26, &#x2212;0.02)</td>
</tr>
<tr>
<td align="left" valign="bottom">CDAI</td>
<td align="center" valign="bottom">0.2</td>
<td align="center" valign="bottom">0.13</td>
<td align="center" valign="bottom">0.13</td>
<td align="center" valign="bottom">(&#x2212;0.06, 0.46)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>DII, dietary inflammatory index; CDAI, composite dietary antioxidant index.</p>
</table-wrap-foot>
</table-wrap>
<fig position="float" id="fig3">
<label>Figure 3</label>
<caption>
<p>Restricted cubic spline curves for the relationships between DII values and age at first gallbladder surgery.</p>
</caption>
<graphic xlink:href="fnut-11-1392960-g003.tif"/>
</fig>
</sec>
</sec>
<sec sec-type="discussion" id="sec18">
<title>Discussion</title>
<p>Here, the associations between dietary indices and gallstone incidence were assessed in a large representative cohort of adults in the USA. This analytical approach revealed an increase in gallstone risk among individuals with higher DII scores, whereas gallstone risk rose with lower CDAI scores even following adjustment for a range of covariates. Higher DII scores were also related to a younger age at first gallbladder surgery, whereas CDAI scores were unrelated to this outcome variable.</p>
<p>In a prior cross-sectional analysis of individuals in Iran (<xref ref-type="bibr" rid="ref20">20</xref>), higher DII scores were related to a reduction in gallstone risk in direct contrast with the present results in the USA. DII values are computed based on the inflammatory potential of a given diet and these values have been linked to a range of inflammatory diseases (<xref ref-type="bibr" rid="ref23">23</xref>, <xref ref-type="bibr" rid="ref24">24</xref>) including rheumatoid arthritis (<xref ref-type="bibr" rid="ref25">25</xref>), nonalcoholic fatty liver (<xref ref-type="bibr" rid="ref26 ref27 ref28">26&#x2013;28</xref>), and <italic>Helicobacter pylori</italic> infections (<xref ref-type="bibr" rid="ref29">29</xref>). Higher DII scores are also associated with the production of higher concentrations of TNF-&#x03B1;, IL-6, CRP, and a range of other factors that contribute to greater gallstone risk (<xref ref-type="bibr" rid="ref30 ref31 ref32">30&#x2013;32</xref>). A study of subjects in China reported an association between levels of IL-6 and IL-10 and the risk of gallstone development (<xref ref-type="bibr" rid="ref7">7</xref>). Given that IL-10 and IL-6 are inflammatory biomarkers related to DII calculations (<xref ref-type="bibr" rid="ref13">13</xref>), this supports the existence of a direct association between DII values and gallstone development. A prospective cohort analysis further demonstrated that CRP levels are independently associated with gallstone risk (<xref ref-type="bibr" rid="ref33">33</xref>). The present data align well with past reports of strong positive relationships between DII, which serves as a comprehensive index for dietary inflammation, and gallstone incidence. Higher DII values are also related to the incidence of metabolic syndrome (<xref ref-type="bibr" rid="ref34">34</xref>), obesity (<xref ref-type="bibr" rid="ref35">35</xref>), and insulin resistance (<xref ref-type="bibr" rid="ref36">36</xref>), all of which have the potential to directly or indirectly influence gallstone incidence (<xref ref-type="bibr" rid="ref1">1</xref>, <xref ref-type="bibr" rid="ref34">34</xref>, <xref ref-type="bibr" rid="ref37">37</xref>), consistent with the positive relationship noted between DII and gallstones.</p>
<p>Higher CDAI scores, which correspond to a diet that is rich in antioxidants, were herein found to be related to a reduction in gallstone risk. Oxidative stress is firmly established as a regulator of gallstone development (<xref ref-type="bibr" rid="ref18">18</xref>, <xref ref-type="bibr" rid="ref38">38</xref>, <xref ref-type="bibr" rid="ref39">39</xref>). For example, the intake of low levels of vitamin C (<xref ref-type="bibr" rid="ref40">40</xref>), which is among the best-characterized antioxidant micronutrients, can contribute to a greater risk of gallstone formation as a result of the disruption of the production of free radicals involved in gallstone formation through changes in the protein and lipid content of the bile. Epithelial cells within the gallbladder secrete mucin, which is a glycoprotein. The secretion of overly high mucin levels in response to oxygen radicals has been reported to contribute to cholesterol destabilization and the biogenesis of gallstones (<xref ref-type="bibr" rid="ref41">41</xref>). Antioxidant-rich diets can help abrogate gallstone risk, as supported by the present results (<xref ref-type="bibr" rid="ref42">42</xref>, <xref ref-type="bibr" rid="ref43">43</xref>), which revealed a consistent negative association between CDAI values and the prevalence of gallstones in this study population (<xref ref-type="bibr" rid="ref19">19</xref>). However, the stability of this correlation across diverse populations was not supported by the findings of the stratiffied analysis. The limited sample size in this study might have contributed to the absence of a significant negative association in the subgroup analysis.</p>
<p>The relationship between DII, CDAI, and gallstones indicated that a healthy dietary pattern characterized by low DII and high CDAI value has a protective effect on gallstones. This healthy dietary pattern consists of high consumption of vegetables, fruits, fiber-rich foods, and nuts and low consumption of high-calorie diet, polyunsaturated and monounsaturated fats (<xref ref-type="bibr" rid="ref44 ref45 ref46">44&#x2013;46</xref>). The correlation between the healthy dietary pattern and gallstones may be attributed to the biliary microbiota (<xref ref-type="bibr" rid="ref10">10</xref>). The relationship between these dietary indices and age at first gallbladder surgery was additionally examined in this analysis. Higher DII values were related to the need for gallbladder surgery at a younger age. Specifically, for every increase in DII by one unit, the age of first gallbladder surgery was reduced by 0.64&#x2009;years. This is the first article to report this relationship. While additional validation will be essential, this may suggest that efforts to modulate dietary composition at a younger age can better guard against gallstones and related adverse outcomes.</p>
<p>Limitations to this study include that this was a cross-sectional analysis such that the causal nature of associations between gallstone incidence and CDAI or DII values could not be established. Moreover, survey data were derived from questionnaires such that they may be limited by recall bias. In addition, the association between dietary indices and gallstone incidence could be influenced by other unconsidered or residual confounding factors. Lastly, limited sample sizes and poor statistical power may have contributed to some degree of uncertainty in particular subgroup analyses.</p>
</sec>
<sec sec-type="conclusions" id="sec19">
<title>Conclusion</title>
<p>In summary, the relationships between the CDAI and DII indices and the incidence of gallstones were evaluated for the general US population. These results suggest that gallstone risk increases when subjects consume a diet that is proinflammatory, as evidenced by a higher DII score, whereas antioxidant-rich diets with higher CDAI scores are conversely associated with a reduction in gallstone risk. This study is also the first to document an association between higher DII scores and the need to undergo gallbladder surgery at a younger age.</p>
</sec>
<sec sec-type="data-availability" id="sec20">
<title>Data availability statement</title>
<p>Publicly available datasets were analyzed in this study. This data can be found at: <ext-link xlink:href="https://www.cdc.gov/nchs/nhanes" ext-link-type="uri">https://www.cdc.gov/nchs/nhanes</ext-link>.</p>
</sec>
<sec sec-type="ethics-statement" id="sec21">
<title>Ethics statement</title>
<p>The studies involving humans were approved by The National Center for Health Statistics Institutional Review Board. 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="sec22">
<title>Author contributions</title>
<p>CJ: Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. YS: Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing.</p>
</sec>
</body>
<back>
<sec sec-type="funding-information" id="sec23">
<title>Funding</title>
<p>The author(s) declare that no financial support was received for the research, authorship, and/or publication of this article.</p>
</sec>
<ack>
<p>We would like to thank the NHANES team for providing the data. We would also like to thank Zhang Jing (Second Department of Infectious Disease, Shanghai Fifth People&#x2019;s Hospital, Fudan University) for his work (nhanesR package and webpage) on the NHANES database.</p>
</ack>
<sec sec-type="COI-statement" id="sec24">
<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 sec-type="disclaimer" id="sec25">
<title>Publisher'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>
<sec sec-type="supplementary-material" id="sec26">
<title>Supplementary material</title>
<p>The Supplementary material for this article can be found online at: <ext-link xlink:href="https://www.frontiersin.org/articles/10.3389/fnut.2024.1392960/full#supplementary-material" ext-link-type="uri">https://www.frontiersin.org/articles/10.3389/fnut.2024.1392960/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Table_1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" xmlns:xlink="http://www.w3.org/1999/xlink"/>
<supplementary-material xlink:href="Table_2.docx" id="SM2" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
<fn-group>
<title>Abbreviations</title>
<fn fn-type="abbr"><p>BMI, body mass index; CDAI, composite dietary antioxidant index; CRP, C-reactive protein; DII, dietary inflammatory index; IL, interleukin; NHANES, National Health and Nutrition Examination Survey; PIR, family poverty to income ratio; TNF, tumor necrosis factor.</p>
</fn></fn-group>
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