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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.2023.1195107</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>The association between dietary intake of flavonoids and its subclasses and the risk of metabolic syndrome</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" equal-contrib="yes">
<name><surname>Zhao</surname> <given-names>Zhenlei</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn001"><sup>&#x02020;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/2051385/overview"/>
</contrib>
<contrib contrib-type="author" equal-contrib="yes">
<name><surname>Gao</surname> <given-names>Wenyan</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="author-notes" rid="fn001"><sup>&#x02020;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1796022/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Ding</surname> <given-names>Xiaoli</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Xu</surname> <given-names>Xiaogang</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/533139/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Xiao</surname> <given-names>Changqian</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c003"><sup>&#x0002A;</sup></xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Mao</surname> <given-names>Genxiang</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c002"><sup>&#x0002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1159342/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Xing</surname> <given-names>Wenmin</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x0002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1159359/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Zhejiang Provincial Key Lab of Geriatrics, Zhejiang Hospital</institution>, <addr-line>Hangzhou</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>School of Pharmacy, Hangzhou Medical College</institution>, <addr-line>Hangzhou</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Rahele Ziaei, Isfahan University of Medical Sciences, Iran</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Miguel Rebollo-Hernanz, University of Illinois at Urbana-Champaign, United States; Julia Peterson, American Society of Pharmacognosy, United States; Rosaria Var&#x000EC;, National Institute of Health (ISS), Italy</p></fn>

<corresp id="c001">&#x0002A;Correspondence: Wenmin Xing <email>xing-wenmin&#x00040;hotmail.com</email></corresp>
<corresp id="c002">Genxiang Mao <email>maogenxiang&#x00040;163.com</email></corresp>
<corresp id="c003">Changqian Xiao <email>xiaochangqian&#x00040;163.com</email></corresp>
<fn fn-type="equal" id="fn001"><p>&#x02020;These authors have contributed equally to this work</p></fn></author-notes>
<pub-date pub-type="epub">
<day>05</day>
<month>07</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>10</volume>
<elocation-id>1195107</elocation-id>
<history>
<date date-type="received">
<day>28</day>
<month>03</month>
<year>2023</year>
</date>
<date date-type="accepted">
<day>13</day>
<month>06</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2023 Zhao, Gao, Ding, Xu, Xiao, Mao and Xing.</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Zhao, Gao, Ding, Xu, Xiao, Mao and Xing</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>
<title>Background</title>
<p>The healthiest way to prevent metabolic syndrome (MetS) is through behavioral and nutritional adjustments. We examined the relationship between total flavonoids intake, flavonoid subclasses, and clinically manifest MetS.</p></sec>
<sec>
<title>Methods</title>
<p>A cross-sectional analysis was conducted among 28,719 individuals from the National Health and Nutrition Examination Survey (NHANES) and Food and Nutrient Database for Dietary Studies (FNDDS) 2007&#x02013;2011 and 2017&#x02013;2018. Two 24-h reviews were conducted to determine flavonoids intake and subclasses. The link between flavonoids intake and MetS was investigated using a multivariate logistic regression model.</p></sec>
<sec>
<title>Results</title>
<p>Q2 and Q3 of total flavonoids intake were associated with 20 and 19% lower risk of incident MetS after adjusting age and sex. Anthocyanidins and flavanones intake in Q2 and Q3 substantially reduced the MetS risk compared to Q1. MetS risk decreased steadily as the total intake of flavonoids increased to 237.67 mg/d. Flavanones and anthocyanidins also displayed V-shaped relationship curves (34.37 and 23.13 mg/d).</p></sec>
<sec>
<title>Conclusion</title>
<p>MetS was adversely linked with total flavonoids intake, flavanones, and anthocyanidins. Moreover, the most effective doses of total flavonoids, flavanones, and anthocyanidins were 237.67, 34.37, and 23.13 mg/d, respectively, potentially preventing MetS.</p></sec></abstract>
<kwd-group>
<kwd>metabolic syndrome</kwd>
<kwd>flavonoids intake</kwd>
<kwd>flavanones</kwd>
<kwd>anthocyanidins</kwd>
<kwd>NHANES</kwd>
</kwd-group>
<counts>
<fig-count count="1"/>
<table-count count="3"/>
<equation-count count="0"/>
<ref-count count="60"/>
<page-count count="12"/>
<word-count count="7904"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Nutrition and Metabolism</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>Introduction</title>
<p>Metabolic syndrome (MetS) is characterized by a cluster of metabolic abnormalities, such as impaired glucose metabolism, high blood pressure, low high-density lipoprotein cholesterol (HDL-c) levels, and dyslipidemia (<xref ref-type="bibr" rid="B1">1</xref>). Subjects with MetS mainly present with abdominal obesity, hyperglycemia, hypertension, and dyslipidemia (<xref ref-type="bibr" rid="B2">2</xref>). It was also closely associated with a higher cardiovascular disease (CVD) risk, type 2 diabetes (T2D) risk, and overall mortality (<xref ref-type="bibr" rid="B3">3</xref>, <xref ref-type="bibr" rid="B4">4</xref>). MetS results from complicated risk factors interaction among genetic, metabolic, diet, lifestyle, and environmental factors (<xref ref-type="bibr" rid="B5">5</xref>). For instance, smoking, alcohol drinking, and an unbalanced diet contributed significantly to the development of MetS (<xref ref-type="bibr" rid="B5">5</xref>). Studies have demonstrated that some dietary life and nutrients played a protective role against MetS development (<xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B7">7</xref>). For instance, Mediterranean diet (MedDiet) interventions could improve MetS (<xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B9">9</xref>). MedDiet is characterized by a high concentration of polyphenols, which are prospective candidates for ameliorating the chronic low-grade inflammation and oxidative stress of MetS patients (<xref ref-type="bibr" rid="B10">10</xref>).</p>
<p>Previous research examined the relationship between dietary polyphenols and MetS, CVD, T2D, cancer, and all-cause mortality (<xref ref-type="bibr" rid="B11">11</xref>&#x02013;<xref ref-type="bibr" rid="B17">17</xref>). For instance, high total polyphenols, flavonoids, and phenolic acid intake had 50, 51, and 45% lower odds of MetS, respectively, when compared to low total polyphenols, flavonoids, and phenolic acid intake. In contrast, larger intakes of total polyphenols, flavonoids, and phenolic acids were related to a reduced risk for elevated systolic blood pressure (SBP) and HDL-c, which were independent cardiovascular risk factors (<xref ref-type="bibr" rid="B16">16</xref>). However, no relationship was found between total polyphenols intake and other MetS components (<xref ref-type="bibr" rid="B18">18</xref>). A French prospective cohort study reported that individuals with polyphenols intake, including anthocyanins, dihydro flavonols, catechins, flavonols, hydroxybenzoic acids, lignans, and stilbenes, had a low risk of T2D, which is independent of major potential confounders (<xref ref-type="bibr" rid="B11">11</xref>). Furthermore, a decreased risk of gestational diabetes mellitus (GDM) is related to a large intake of fruit polyphenols. However, no clear association exists between total vegetable polyphenol intake and GDM risk (<xref ref-type="bibr" rid="B15">15</xref>). Moreover, a high intake of stilbenes, lignans, hydroxy benzaldehydes, hydroxy coumarins, and tyrosols was associated with a lower gastric cancer risk (<xref ref-type="bibr" rid="B12">12</xref>). Additionally, peonidin, naringenin, and catechin intakes were negatively correlated with cancer mortality (<xref ref-type="bibr" rid="B17">17</xref>). However, total polyphenols intake was not significantly associated with cancer mortality risk reported in Japanese adults (<xref ref-type="bibr" rid="B13">13</xref>). Importantly, individuals&#x00027; biological aging or the discrepancy between the biological and chronological age of a subject (&#x00394;age) was inversely associated with the polyphenol antioxidant content (PAC) score (<xref ref-type="bibr" rid="B14">14</xref>). Therefore, a polyphenol-rich diet helps decelerate biological aging, which benefits the long-term risk of MetS, cardiovascular disease, and cancer.</p>
<p>Previous studies have highlighted dietary flavonoids intake as a potential protective factor against developing extra body fat (<xref ref-type="bibr" rid="B19">19</xref>). Studies have evidenced that flavonoids are strong antioxidants and metal chelators to decrease energy intake, increase energy expenditure and fat oxidation, influence macronutrient absorption and uptake, and inhibit adipogenesis (<xref ref-type="bibr" rid="B20">20</xref>&#x02013;<xref ref-type="bibr" rid="B25">25</xref>). According to a previous study, long-term use of flavonoids may improve cardiovascular disease by restoring the body&#x00027;s natural antioxidant defenses and lowering the risk of low-density lipoprotein cholesterol (LDL) oxidation (<xref ref-type="bibr" rid="B26">26</xref>). In addition, flavonoid compounds extracted from apple peel can reduce blood pressure and control body fat (<xref ref-type="bibr" rid="B27">27</xref>, <xref ref-type="bibr" rid="B28">28</xref>). Although a previous cross-sectional study including 9,108 Chinese individuals investigated the relationship between flavonoid and copper intake and MetS, there is no proof that any flavonoid compound can ameliorate MetS symptoms (<xref ref-type="bibr" rid="B5">5</xref>). A Tehran Lipid and Glucose Study based on Iran&#x00027;s population reported that only flavonols and flavones showed protective effects against MetS. Simultaneously, no significant association was found between the intake of other flavonoid subclasses and MetS risk (<xref ref-type="bibr" rid="B29">29</xref>). Due to the intricacy of MetS and the variety of flavonoids, additional research is required to assess the relationship between flavonoid consumption and MetS risk. Furthermore, because each flavonoid component has unique active activity, it was necessary to confirm whether consuming the various flavonoid subclasses was linked with lowering MetS (<xref ref-type="bibr" rid="B18">18</xref>).</p>
<p>Consequently, this study aimed to demonstrate the possible association of total flavonoids and subclasses of flavonoid intake with MetS in the USA using the NHANES data system from 2007 to 2010 and 2017 to 2018. We hypothesized that flavonoids intake would be positively associated with a reduced risk of MetS. Additionally, the impact of an individual&#x00027;s clinical characteristics and lifestyle on the MetS reduction brought on by using flavonoids was discussed. This study also explored the most effective dose of each flavonoid subtype for reducing the MetS rate.</p></sec>
<sec sec-type="methods" id="s2">
<title>Methods</title>
<sec>
<title>Study population</title>
<p>The NHANES was a cross-sectional design that employed stratified, multistage probability sampling of the U.S. population to examine health and nutritional status through interviews and laboratory examinations (<xref ref-type="bibr" rid="B30">30</xref>). This survey was approved by the Ethics Review Board of the NCHS (available on the web at: <ext-link ext-link-type="uri" xlink:href="https://www.cdc.gov/nchs/nhanes/">https://www.cdc.gov/nchs/nhanes/</ext-link>). This study employed three cycles of NHANES 2007&#x02013;2010 and 2017&#x02013;2018 data to extract flavonoids intake information, and 28,719 participants were included (<xref ref-type="table" rid="T1">Table 1</xref>). Participants were disqualified if they could not provide dietary information within 24 h. Moreover, pregnant women and cancer patients receiving medical therapy or radiotherapy were excluded. Demographic, health-related lifestyle, and chronic disease information were also gathered from the participants.</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p> Characteristics of NHANES participants by tertiles of total flavonoid intake.</p></caption> 
<table frame="box" rules="all">
<thead>
<tr style="background-color:#8f9496">
<th/>
<th valign="top" align="center"><bold>Total population (<italic>n =</italic> 28,719)</bold></th>
<th valign="top" align="center" colspan="3"><bold>Total flavonoid intake quintiles</bold></th>
<th/>
</tr>
<tr style="background-color:#8f9496">
<th/>
<th/>
<th valign="top" align="center"><bold>Q1 (<italic>n =</italic> 8,937)</bold></th>
<th valign="top" align="center"><bold>Q2 (<italic>n =</italic> 9,265)</bold></th>
<th valign="top" align="center"><bold>Q3 (<italic>n =</italic> 10,517)</bold></th>
<th valign="top" align="center"><bold><italic>P</italic>-value</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Total flavonoid intake, mean (SE) (mg/d)</td>
<td valign="top" align="center">220.03 (7.37)</td>
<td valign="top" align="center">18.57 (0.34)</td>
<td valign="top" align="center">80.00 (0.93)</td>
<td valign="top" align="center">579.24 (13.69)</td>
<td valign="top" align="center">&#x0003C; 0.0001</td>
</tr> <tr style="background-color:#dee1e1">
<td valign="top" align="left" colspan="6"><bold>Socio-economic characteristics</bold></td>
</tr> <tr>
<td valign="top" align="left">Female, <italic>n</italic> (%)</td>
<td valign="top" align="center">14,690 (51.15)</td>
<td valign="top" align="center">4,553 (50.95)</td>
<td valign="top" align="center">4,656 (50.25)</td>
<td valign="top" align="center">3,851 (52.10)</td>
<td valign="top" align="center">0.21</td>
</tr> <tr>
<td valign="top" align="left">Male, <italic>n</italic> (%)</td>
<td valign="top" align="center">14,029 (48.85)</td>
<td valign="top" align="center">4,384 (49.05)</td>
<td valign="top" align="center">4,609 (49.75)</td>
<td valign="top" align="center">5,409 (47.90)</td>
<td/>
</tr> <tr>
<td valign="top" align="left">Age, years, mean (SE)</td>
<td valign="top" align="center">37.26 (0.29)</td>
<td valign="top" align="center">33.62 (0.39)</td>
<td valign="top" align="center">37.17 (0.39)<sup>a&#x0002A;</sup></td>
<td valign="top" align="center">40.44 (0.41)<sup>b&#x0002A;</sup></td>
<td valign="top" align="center">&#x0003C; 0.0001</td>
</tr> <tr style="background-color:#dee1e1">
<td valign="top" align="left" colspan="6"><bold>Ethnicity</bold></td>
</tr> <tr>
<td valign="top" align="left">White, <italic>n</italic> (%)</td>
<td valign="top" align="center">1,8191 (63.34)</td>
<td valign="top" align="center">5,656 (63.29)</td>
<td valign="top" align="center">5,716 (61.69)<sup>a&#x0002A;</sup></td>
<td valign="top" align="center">6,820 (64.85)<sup>b&#x0002A;</sup></td>
<td valign="top" align="center">&#x0003C; 0.0001</td>
</tr> <tr>
<td valign="top" align="left">Black, <italic>n</italic> (%)</td>
<td valign="top" align="center">3,464 (12.06)</td>
<td valign="top" align="center">1,219 (13.64)</td>
<td valign="top" align="center">1,106 (11.94)<sup>a&#x0002A;</sup></td>
<td valign="top" align="center">1,140 (10.84)<sup>b&#x0002A;</sup></td>
<td/>
</tr> <tr>
<td valign="top" align="left">Mexican, <italic>n</italic> (%)</td>
<td valign="top" align="center">2,970 (10.34)</td>
<td valign="top" align="center">990 (11.08)</td>
<td valign="top" align="center">1,061 (11.45)<sup>a&#x0002A;</sup></td>
<td valign="top" align="center">919 (8.74)<sup>b&#x0002A;</sup></td>
<td/>
</tr> <tr>
<td valign="top" align="left">Others, <italic>n</italic> (%)</td>
<td valign="top" align="center">4,092 (14.25)</td>
<td valign="top" align="center">1,072 (12.00)</td>
<td valign="top" align="center">1,383 (14.93)<sup>a&#x0002A;</sup></td>
<td valign="top" align="center">1,639 (15.58)<sup>b&#x0002A;</sup></td>
<td/>
</tr> <tr style="background-color:#dee1e1">
<td valign="top" align="left" colspan="6"><bold>Healthy behavior factors</bold></td>
</tr> <tr>
<td valign="top" align="left">Smoke status</td>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr> <tr>
<td valign="top" align="left">Current smokers, <italic>n</italic> (%)</td>
<td valign="top" align="center">4,431 (15.43)</td>
<td valign="top" align="center">1,635 (18.30)</td>
<td valign="top" align="center">1,141 (12.32)<sup>a&#x0002A;</sup></td>
<td valign="top" align="center">1,54 (15.73)<sup>b&#x0002A;</sup></td>
<td valign="top" align="center">&#x0003C; 0.0001</td>
</tr> <tr>
<td valign="top" align="left">No current smokers, <italic>n</italic> (%)</td>
<td valign="top" align="center">24,288 (84.57)</td>
<td valign="top" align="center">7,302 (81.70)</td>
<td valign="top" align="center">8,124 (87.68)<sup>a&#x0002A;</sup></td>
<td valign="top" align="center">8,863 (84.27)<sup>b&#x0002A;</sup></td>
<td/>
</tr> <tr style="background-color:#dee1e1">
<td valign="top" align="left" colspan="6"><bold>Drinking</bold></td>
</tr> <tr>
<td valign="top" align="left">No drink user, <italic>n</italic> (%)</td>
<td valign="top" align="center">6,979 (24.30)</td>
<td valign="top" align="center">2,308 (25.83)</td>
<td valign="top" align="center">2,339 (25.25)<sup>a&#x0002A;</sup></td>
<td valign="top" align="center">2,330 (22.15)<sup>b&#x0002A;</sup></td>
<td valign="top" align="center">&#x0003C; 0.0001</td>
</tr> <tr>
<td valign="top" align="left">Former drink user, <italic>n</italic> (%)</td>
<td valign="top" align="center">2,257 (7.86)</td>
<td valign="top" align="center">798 (8.93)</td>
<td valign="top" align="center">671 (7.24)<sup>a&#x0002A;</sup></td>
<td valign="top" align="center">788 (7.49)<sup>b&#x0002A;</sup></td>
<td/>
</tr> <tr>
<td valign="top" align="left">Mild drink user, <italic>n</italic> (%)</td>
<td valign="top" align="center">8,587 (29.90)</td>
<td valign="top" align="center">2,166 (24.24)</td>
<td valign="top" align="center">2,867 (30.94)<sup>a&#x0002A;</sup></td>
<td valign="top" align="center">3,555 (33.80)<sup>b&#x0002A;</sup></td>
<td/>
</tr> <tr>
<td valign="top" align="left">Moderate drink user, <italic>n</italic> (%)</td>
<td valign="top" align="center">4,474 (15.58)</td>
<td valign="top" align="center">1,423 (15.92)</td>
<td valign="top" align="center">1,390 (15.00)<sup>a&#x0002A;</sup></td>
<td valign="top" align="center">1663 (15.81)<sup>b&#x0002A;</sup></td>
<td/>
</tr> <tr>
<td valign="top" align="left">Heavy drink user, <italic>n</italic> (%)</td>
<td valign="top" align="center">6,422 (22.36)</td>
<td valign="top" align="center">2,241 (25.07)</td>
<td valign="top" align="center">1,998 (21.57)<sup>a&#x0002A;</sup></td>
<td valign="top" align="center">2,181 (20.74)<sup>b&#x0002A;</sup></td>
<td/>
</tr> <tr style="background-color:#dee1e1">
<td valign="top" align="left" colspan="6"><bold>Physical activity level</bold></td>
</tr> <tr>
<td valign="top" align="left">Never, <italic>n</italic> (%)</td>
<td valign="top" align="center">10,399 (36.21)</td>
<td valign="top" align="center">3,695 (41.34)</td>
<td valign="top" align="center">3,327 (35.91)<sup>a&#x0002A;</sup></td>
<td valign="top" align="center">3,377 (32.11)<sup>b&#x0002A;</sup></td>
<td valign="top" align="center">&#x0003C; 0.0001</td>
</tr> <tr>
<td valign="top" align="left">Low, <italic>n</italic> (%)</td>
<td valign="top" align="center">5,775 (20.11)</td>
<td valign="top" align="center">1,589 (17.78)</td>
<td valign="top" align="center">1,885 (20.35)<sup>a&#x0002A;</sup></td>
<td valign="top" align="center">2,301 (21.88)<sup>b&#x0002A;</sup></td>
<td/>
</tr> <tr>
<td valign="top" align="left">Intermediate, <italic>n</italic> (%)</td>
<td valign="top" align="center">6,304 (21.95)</td>
<td valign="top" align="center">1,723 (19.28)</td>
<td valign="top" align="center">2,129 (22.98)<sup>a&#x0002A;</sup></td>
<td valign="top" align="center">2,453 (23.32)<sup>b&#x0002A;</sup></td>
<td/>
</tr> <tr>
<td valign="top" align="left">High, <italic>n</italic> (%)</td>
<td valign="top" align="center">6,241 (21.73)</td>
<td valign="top" align="center">1,930 (21.60)</td>
<td valign="top" align="center">1,924 (20.77)<sup>a&#x0002A;</sup></td>
<td valign="top" align="center">2,386 (22.69)<sup>b&#x0002A;</sup></td>
<td/>
</tr> <tr style="background-color:#dee1e1">
<td valign="top" align="left" colspan="6"><bold>Dietary intake</bold></td>
</tr> <tr>
<td valign="top" align="left">kCal/day, kCal, mean (SE)</td>
<td valign="top" align="center">2,032.07 (8.20)</td>
<td valign="top" align="center">1,846.08 (11.69)</td>
<td valign="top" align="center">2,091.19 (12.00)<sup>a&#x0002A;</sup></td>
<td valign="top" align="center">2,138.07 (12.75)<sup>b&#x0002A;</sup></td>
<td valign="top" align="center">&#x0003C; 0.0001</td>
</tr> <tr>
<td valign="top" align="left">Carbohydrates/day, g/100 kCal, mean (SE)</td>
<td valign="top" align="center">249.00 (0.95)</td>
<td valign="top" align="center">222.01 (1.69)</td>
<td valign="top" align="center">257.74 (1.44)<sup>a&#x0002A;</sup></td>
<td valign="top" align="center">264.23 (1.54)<sup>b&#x0002A;</sup></td>
<td valign="top" align="center">&#x0003C; 0.0001</td>
</tr> <tr>
<td valign="top" align="left">Protein/day, g/100 kCal, mean (SE)</td>
<td valign="top" align="center">78.01 (0.40)</td>
<td valign="top" align="center">71.10 (0.57)</td>
<td valign="top" align="center">80.17 (0.54)<sup>a&#x0002A;</sup></td>
<td valign="top" align="center">81.99 (0.51)<sup>b&#x0002A;</sup></td>
<td valign="top" align="center">&#x0003C; 0.0001</td>
</tr> <tr>
<td valign="top" align="left">Fiber/day, g/100 kCal, mean (SE)</td>
<td valign="top" align="center">15.85 (0.15)</td>
<td valign="top" align="center">12.32 (0.13)</td>
<td valign="top" align="center">17.25 (0.14)<sup>a&#x0002A;</sup></td>
<td valign="top" align="center">17.61 (0.19)<sup>b&#x0002A;</sup></td>
<td valign="top" align="center">&#x0003C; 0.0001</td>
</tr> <tr>
<td valign="top" align="left">Total fat, mean (SE)</td>
<td valign="top" align="center">78.49 (0.39)</td>
<td valign="top" align="center">73.27 (0.54)</td>
<td valign="top" align="center">79.01 (0.60)<sup>a&#x0002A;</sup></td>
<td valign="top" align="center">82.47 (0.60)<sup>b&#x0002A;</sup></td>
<td valign="top" align="center">&#x0003C; 0.0001</td>
</tr> <tr style="background-color:#dee1e1">
<td valign="top" align="left" colspan="6"><bold>Medications</bold>, <italic><bold>n</bold></italic> <bold>(%)</bold></td>
</tr> <tr>
<td valign="top" align="left">Anti.Diabetic</td>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr> <tr>
<td valign="top" align="left">No</td>
<td valign="top" align="center">26,829 (93.42)</td>
<td valign="top" align="center">8,344 (93.37)</td>
<td valign="top" align="center">8,687 (93.76)</td>
<td valign="top" align="center">9,798 (93.16)<sup>b&#x0002A;</sup></td>
<td valign="top" align="center">0.6</td>
</tr> <tr>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">1,890 (6.58)</td>
<td valign="top" align="center">593 (6.63)</td>
<td valign="top" align="center">578 (6.24)</td>
<td valign="top" align="center">719 (6.84)<sup>b&#x0002A;</sup></td>
<td/>
</tr> <tr>
<td valign="top" align="left">Anti.Hypertensive</td>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr> <tr>
<td valign="top" align="left">No</td>
<td valign="top" align="center">27,533 (95.87)</td>
<td valign="top" align="center">8,628 (96.54)</td>
<td valign="top" align="center">8,866 (95.69)</td>
<td valign="top" align="center">10,041 (95.47)<sup>b&#x0002A;</sup></td>
<td valign="top" align="center">0.08</td>
</tr> <tr>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">1,186 (4.13)</td>
<td valign="top" align="center">309 (3.46)</td>
<td valign="top" align="center">399 (4.31)</td>
<td valign="top" align="center">476 (4.53)<sup>b&#x0002A;</sup></td>
<td/>
</tr> <tr>
<td valign="top" align="left">BMI, kg/m<sup>2</sup>, <italic>n</italic> (%)</td>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr> <tr>
<td valign="top" align="left">BMI &#x0003C; 25</td>
<td valign="top" align="center">12,677 (44.14)</td>
<td valign="top" align="center">4,027 (45.06)</td>
<td valign="top" align="center">4,260 (45.98)</td>
<td valign="top" align="center">4,390 (41.74)</td>
<td valign="top" align="center">0.001</td>
</tr> <tr>
<td valign="top" align="left">BMI &#x02265; 25</td>
<td valign="top" align="center">16,042 (55.86)</td>
<td valign="top" align="center">4,910 (54.94)</td>
<td valign="top" align="center">5,005 (54.02)</td>
<td valign="top" align="center">6,127 (58.26)</td>
<td/>
</tr> <tr style="background-color:#dee1e1">
<td valign="top" align="left" colspan="6"><bold>Hypertension</bold>, <italic><bold>n</bold></italic> <bold>(%)</bold></td>
</tr> <tr>
<td valign="top" align="left">No Hypertension</td>
<td valign="top" align="center">20,816 (72.48)</td>
<td valign="top" align="center">6,638 (74.28)</td>
<td valign="top" align="center">6,755 (72.91)</td>
<td valign="top" align="center">7,421 (70.56)<sup>b&#x0002A;</sup></td>
<td valign="top" align="center">&#x0003C; 0.0001</td>
</tr> <tr>
<td valign="top" align="left">Hypertension</td>
<td valign="top" align="center">7,903 (27.52)</td>
<td valign="top" align="center">2,299 (25.72)</td>
<td valign="top" align="center">2,510 (27.09)</td>
<td valign="top" align="center">3,096 (29.44)<sup>b&#x0002A;</sup></td>
<td/>
</tr> <tr style="background-color:#dee1e1">
<td valign="top" align="left" colspan="6"><bold>Diabetes</bold>, <italic><bold>n</bold></italic> <bold>(%)</bold></td>
</tr> <tr>
<td valign="top" align="left">No diabetes</td>
<td valign="top" align="center">23,972 (83.47)</td>
<td valign="top" align="center">7,529 (84.25)</td>
<td valign="top" align="center">7,759 (83.75)</td>
<td valign="top" align="center">8,683 (82.56)</td>
<td valign="top" align="center">0.11</td>
</tr> <tr>
<td valign="top" align="left">Diabetes</td>
<td valign="top" align="center">4,747 (16.53)</td>
<td valign="top" align="center">1,408 (15.75)</td>
<td valign="top" align="center">1,506 (16.25)</td>
<td valign="top" align="center">1,834 (17.44)</td>
<td/>
</tr> <tr style="background-color:#dee1e1">
<td valign="top" align="left" colspan="6"><bold>Chronic kidney disease</bold></td>
</tr> <tr>
<td valign="top" align="left">No CKD</td>
<td valign="top" align="center">20,867 (72.66)</td>
<td valign="top" align="center">6,212 (69.51)</td>
<td valign="top" align="center">6,523 (70.40)</td>
<td valign="top" align="center">8,132 (77.32)<sup>b&#x0002A;</sup></td>
<td valign="top" align="center">&#x0003C; 0.0001</td>
</tr> <tr>
<td valign="top" align="left">CKD</td>
<td valign="top" align="center">7,852 (27.34)</td>
<td valign="top" align="center">2,725 (30.49)</td>
<td valign="top" align="center">2,742 (29.60)</td>
<td valign="top" align="center">2,385 (22.68)<sup>b&#x0002A;</sup></td>
<td/>
</tr> <tr style="background-color:#dee1e1">
<td valign="top" align="left" colspan="6"><bold>COPD</bold></td>
</tr> <tr>
<td valign="top" align="left">No COPD</td>
<td valign="top" align="center">27,645 (96.26)</td>
<td valign="top" align="center">8,593 (96.15)</td>
<td valign="top" align="center">8,931 (96.39)</td>
<td valign="top" align="center">10,122 (96.24)</td>
<td valign="top" align="center">0.82</td>
</tr> <tr>
<td valign="top" align="left">COPD</td>
<td valign="top" align="center">1,074 (3.74)</td>
<td valign="top" align="center">344 (3.85)</td>
<td valign="top" align="center">334 (3.61)</td>
<td valign="top" align="center">395 (3.76)</td>
<td/>
</tr> <tr style="background-color:#dee1e1">
<td valign="top" align="left" colspan="6"><bold>CVD</bold></td>
</tr> <tr>
<td valign="top" align="left">No CVD</td>
<td valign="top" align="center">26,855 (93.51)</td>
<td valign="top" align="center">8,375 (93.71)</td>
<td valign="top" align="center">8,707 (93.98)</td>
<td valign="top" align="center">9,773 (92.93)</td>
<td valign="top" align="center">0.03</td>
</tr> <tr>
<td valign="top" align="left">CVD</td>
<td valign="top" align="center">1,864 (6.49)</td>
<td valign="top" align="center">562 (6.29)</td>
<td valign="top" align="center">558 (6.02)</td>
<td valign="top" align="center">744 (7.07)</td>
<td/>
</tr> <tr style="background-color:#dee1e1">
<td valign="top" align="left" colspan="6"><bold>MetS</bold></td>
</tr> <tr>
<td valign="top" align="left">No MetS</td>
<td valign="top" align="center">22,694 (79.02)</td>
<td valign="top" align="center">6,995 (78.27)</td>
<td valign="top" align="center">7,417 (80.05)<sup>a&#x0002A;</sup></td>
<td valign="top" align="center">8,280 (78.73)</td>
<td valign="top" align="center">0.15</td>
</tr>
<tr>
<td valign="top" align="left">MetS</td>
<td valign="top" align="center">6,025 (20.98)</td>
<td valign="top" align="center">1,942 (21.73)</td>
<td valign="top" align="center">1,848 (19.95)<sup>a&#x0002A;</sup></td>
<td valign="top" align="center">2,237 (21.27)</td>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>Values are means (SE) for continuous variables and <italic>n</italic> (%) for categorical variables; SE, standard error; NHANES, National Health and Nutrition Examination Survey; BMI, body mass index; CKD, chronic kidney disease; MET, metabolic equivalent; COPD, chronic obstructive pulmonary disease; CVD, cardiovascular disease; MetS, metabolic syndrome. The total flavonoid value was the sum of 29 kinds of flavonoids in six subclasses of classes, which include anthocyanidins, flavan-3-ols, flavanones, flavones, flavonols, and isoflavones. Data were generated using &#x003C7;<sup>2</sup> tests for the categorical variables, and <italic>T</italic>-tests were used for continuous variables. <sup>a&#x0002A;</sup>indicated that the <italic>p</italic>-value for the Q2 vs. Q1 comparison was &#x0003C; 0.05, while <sup>b&#x0002A;</sup>indicated that the <italic>p</italic>-value for the Q3 vs. Q1 comparison was &#x0003C; 0.05.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec>
<title>Assessment of flavonoid intakes</title>
<p>The information on total flavonoids and their subclasses intake was extracted from the United States Department of Food and Nutrient Database for Dietary Studies (FNDDS) linked to the NHANES database. These flavonoid compounds&#x00027; levels were determined by averaging the results of two 24-h interviews (<xref ref-type="bibr" rid="B31">31</xref>). The USDA food code for each survey cycle was used to assign the flavonoid compounds (version 4.1 for 2007&#x02013;2008 and version 5.0 for 2009&#x02013;2010) (<xref ref-type="bibr" rid="B32">32</xref>). USDA Database provided values for 29 kinds of flavonoids, six flavonoid subclasses (anthocyanidins, flavan-3-ols, flavanones, flavones, flavonols, and isoflavones), and total flavonoids for all food codes linked to NHANES 2007&#x02013;2010 and 2017&#x02013;2018 (<xref ref-type="bibr" rid="B32">32</xref>). These values can be used to estimate flavonoids consumption in the U.S. population.</p>
</sec>
<sec>
<title>Definition of metabolic syndrome</title>
<p>Metabolic syndrome (MetS) is defined according to the criteria and definition published in the Lancet statement on metabolic syndrome in 2005 guidelines (<xref ref-type="bibr" rid="B33">33</xref>, <xref ref-type="bibr" rid="B34">34</xref>). The following requirements were described in detail: (1) waist circumference was &#x02265;88 cm for women and &#x02265;102 cm for men, (2) hypertriglyceridemia (triglycerides &#x02265; 1.7 mmol/L), (3) low HDL cholesterol (HDL &#x0003C; 1.03 mmol/L in men or HDL &#x0003C; 1.29 mmol/L in women), (4) elevated blood pressure (SBP &#x02265; 130 mm Hg, DBP &#x02265; 85 mm Hg, or both) or antihypertensive drug treatment for hypertension, and (5) elevated fasting plasma glucose (FPG) (FPG &#x02265; 5.6 mmol/L, or diagnosed as type 2 diabetes).</p>
</sec>
<sec>
<title>Covariates</title>
<p>Using standard questionnaires, NHANES supplied demographic and lifestyle information about people in this study. In this study, gender, age, ethnicity, and body mass index (BMI) were demographic variables. Furthermore, smoking, drinking, physical activity, and fiber or protein consumption were lifestyle variables. Smoking was classified as no current (those who had never smoked more than 100 cigarettes in their lifetime or had smoked at least 100 cigarettes but did not currently smoke) or current (a minimum of 100 cigarettes had been smoked, or had smoked some days). Alcohol consumers were categorized as nondrinkers, previous drinkers, light, moderate, and heavy. Physical activity was evaluated by self-report and measured in weekly metabolic equivalent (MET) minutes. MET was calculated into trisection [Q1 (low), Q2 (intermediate), and Q3 (high)], and participants were categorized as never, low, intermediate, and high levels of physical activity. The ethnicity categories were White, Black, Mexican, and other ethnicity. Hypertension, diabetes, chronic kidney disease, and COPD were defined. Medication information, including anti-diabetes and anti-hypertension drugs, was defined as &#x0201C;No&#x0201D; and &#x0201C;Yes&#x0201D;.</p>
</sec>
<sec>
<title>Statistical analyses</title>
<p>We used NHANES-recommended weights to balance for planned oversampling and ensure the analysis accuracy. The continuous variables were expressed as means &#x000B1; standard errors (SE). Categorical variables were expressed as counts and percentages. Moreover, missing data were imputed using the forest R package. Individuals were separated into three groups based on total flavonoids and flavonoid subclasses&#x00027; consumption values (tertiles: Q1, Q2, and Q3). Significant differences between MetS subjects and control subjects were identified using &#x003C7;<sup>2</sup> tests for categorical variables and ANOVA analysis for continuous variables. To evaluate the adjusted odds ratios (OR) and 95% confidence intervals (CIs) between flavonoids intake and MetS risk, a multivariate logistic regression analysis model was used. A model-adjusted risk ratio was calculated to compare the risk of MetS and flavonoids intake (Q2 and Q3) with the lowest (Q1) category. Then, we also constructed several adjusted models to modify various characteristics: model 1 (adjusted for age), model 2 (adjusted for age, sex, and ethnicity), model 3 (Model 2 plus smoke status, drinking status, and physical activity), and model 4 (Model 2 plus BMI, hypertension, diabetes, COPD, and medications). Then, a restricted cubic spline (RCS) was employed to explore the non-linear associations between the risk of MetS and the total flavonoids and its subclasses intake (<xref ref-type="bibr" rid="B35">35</xref>). A stratified analysis was performed to explore the heterogeneity of the effect of flavonoids intake on MetS risk. Moreover, an interaction model was used to evaluate the interaction between flavonoids intake and other variables. In this study, <italic>p</italic>-values of &#x0003C; 0.05 were considered statistically significant. R software (version 4.1.2), Rstudio software, and the nhanesR package were used for all analyses.</p></sec></sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<sec>
<title>Basic characteristics of this study population</title>
<p>In 2007&#x02013;2010 and 2017&#x02013;2018, for all included individuals, the mean (SE) total flavonoids intake in the first tertile was 18.57 (0.34) mg, in the second tertile was 80.00 (0.93) mg, and in the third tertile was 579.24 (13.69) mg. The demographic, lifestyle characteristics, dietary intake components, and diseases of the included individuals are illustrated in <xref ref-type="table" rid="T1">Table 1</xref>. This population of 28,719 individuals from the USA was followed for a mean age of 37.26 years, and 14,029 (48.85%) were men. According to the criteria, 6,025 people (20.98%) were identified as MetS participants. Compared to participants in Q1 of total flavonoids intake, those in Q3 were more likely to be older, have a lower BMI, and be more physically active. Participants who consumed more flavonoids also tended to consume more total fat, protein, carbs, and fiber. Furthermore, these individuals take more anti-hypertension drugs (<xref ref-type="table" rid="T1">Table 1</xref>). These participants were less likely to be smokers and heavy drink users with CKD and COPD. However, these participants had a higher risk of diabetes, hypertension, and CVD (<xref ref-type="table" rid="T1">Table 1</xref>).</p>
</sec>
<sec>
<title>Overall associations between total flavonoids and six subclassess intake and MetS</title>
<p>We classified the total flavonoids intake by tertiles to investigate the association between flavonoids and MetS. The mean (SE) values of total flavonoids, six subclasses of flavonoids, and sole flavonoids are listed in <xref ref-type="supplementary-material" rid="SM1">Supplementary material 1</xref>. A multiple logistic regression model indicated that the Q2 and Q3 of total flavonoids intake were associated with a 20 and 19% lower risk of incident MetS after adjusting age and sex (model 1: second vs. first tertile, OR = 0.80 (95% CI: 0.71&#x02013;0.90); Q3 vs. Q1, OR = 0.81 (95% CI: 0.72&#x02013;0.91), P trend = 0.001) (<xref ref-type="table" rid="T2">Table 2</xref>). Total flavonoids intake is still strongly inversely associated with the MetS risk after adjusting for age, sex, lifestyles, and other nutrient intakes (Model 2: second vs. first tertile, OR = 0.82 (95% CI: 0.73&#x02013;0.92); Q3 vs. Q1, OR = 0.83 (95% CI: 0.74&#x02013;0.93), P trend = 0.003; model 3: Q2 vs. Q1, OR = 0.87 (95% CI: 0.76&#x02013;0.98); Q3 vs. Q1, OR = 0.85 (95% CI: 0.75&#x02013;0.97), P trend = 0.018). However, there were no statistically significant differences between the flavonols and flavones intake and the MetS risk. There were significant differences between the flavan_3_ols intake and the MetS risk only in model 1 (adjusting for sex and age) and model 2 (adjusting for sex, age, and lifestyles). The analysis showed that Q2 of flavanones intake reduced the risk of MetS compared to Q1 in model 1 (OR = 0.80, 95%CI: 0.71&#x02013;0.89), model 2 (OR = 0.80, 95% CI: 0.71&#x02013;0.89), and model 3 (OR = 0.84, 95% CI: 0.79&#x02013;0.95). Furthermore, Q3 of flavanones intake had more strongly reduced the MetS risk than Q1 (model 1: OR = 0.73, 95% CI: 0.66&#x02013;0.80), model 2 (OR = 0.73, 95% CI: 0.66&#x02013;0.81), and model 3 (OR = 0.75, 95% CI: 0.67&#x02013;0.84). Individuals who consumed anthocyanidins also experienced a considerable reduction in their MetS risk, as indicated in <xref ref-type="table" rid="T2">Table 2</xref>.</p>
<table-wrap position="float" id="T2">
<label>Table 2</label>
<caption><p>Odd ratios (ORs) and 95% confidence intervals (CIs) of MetS risk by tertiles of flavonoid intake.</p></caption> 
<table frame="box" rules="all">
<thead>
<tr style="background-color:#8f9496">
<th/>
<th valign="top" align="center" colspan="3"><bold>Total flavonoid intake quintiles</bold></th>
<th valign="top" align="center"><bold><italic>P</italic> for trend</bold></th>
</tr>
<tr style="background-color:#8f9496">
<th valign="top" align="center"><bold>No. events</bold></th>
<th valign="top" align="center"><bold>Q1 (<italic>n =</italic> 8,937)</bold></th>
<th valign="top" align="center"><bold>Q2 (<italic>n =</italic> 9,265)</bold></th>
<th valign="top" align="center"><bold>Q3 (<italic>n =</italic> 10,517)</bold></th>
<th/>
</tr>
</thead>
<tbody>
<tr style="background-color:#dee1e1">
<td valign="top" align="left" colspan="5"><bold>Total flavonoid</bold></td>
</tr> <tr>
<td valign="top" align="left">Mean (SE) (mg/d)</td>
<td valign="top" align="center">18.57 (0.34)</td>
<td valign="top" align="center">80.00 (0.93)</td>
<td valign="top" align="center">579.24 (13.69)</td>
<td valign="top" align="center">&#x0003C; 0.0001</td>
</tr> <tr style="background-color:#dee1e1">
<td valign="top" align="left" colspan="5"><bold>OR (95%CI)</bold></td>
</tr> <tr>
<td valign="top" align="left">Model 1</td>
<td valign="top" align="center">Ref</td>
<td valign="top" align="center">0.80 (0.71,0.90)</td>
<td valign="top" align="center">0.81 (0.72,0.91)</td>
<td valign="top" align="center">0.001</td>
</tr> <tr>
<td valign="top" align="left">Model 2</td>
<td valign="top" align="center">Ref</td>
<td valign="top" align="center">0.82 (0.73,0.92)</td>
<td valign="top" align="center">0.83 (0.74,0.93)</td>
<td valign="top" align="center">0.003</td>
</tr> <tr>
<td valign="top" align="left">Model 3</td>
<td valign="top" align="center">Ref</td>
<td valign="top" align="center">0.87 (0.76,0.98)</td>
<td valign="top" align="center">0.85 (0.75,0.97)</td>
<td valign="top" align="center">0.018</td>
</tr> <tr style="background-color:#dee1e1">
<td valign="top" align="left" colspan="5"><bold>Flavonols</bold></td>
</tr> <tr>
<td valign="top" align="left">No. events</td>
<td valign="top" align="center">8,136</td>
<td valign="top" align="center">9,026</td>
<td valign="top" align="center">11,557</td>
<td/>
</tr> <tr>
<td valign="top" align="left">Mean (SE) (mg/d)</td>
<td valign="top" align="center">4.29 (0.03)</td>
<td valign="top" align="center">11.65 (0.04)</td>
<td valign="top" align="center">26.85 (0.33)</td>
<td valign="top" align="center">&#x0003C; 0.0001</td>
</tr> <tr style="background-color:#dee1e1">
<td valign="top" align="left" colspan="5"><bold>OR (95%CI)</bold></td>
</tr> <tr>
<td valign="top" align="left">Model 1</td>
<td valign="top" align="center">Ref</td>
<td valign="top" align="center">0.83 (0.74,0.93)</td>
<td valign="top" align="center">0.95 (0.85,1.07)</td>
<td valign="top" align="center">0.722</td>
</tr> <tr>
<td valign="top" align="left">Model 2</td>
<td valign="top" align="center">Ref</td>
<td valign="top" align="center">0.82 (0.73,0.92)</td>
<td valign="top" align="center">0.95 (0.84,1.07)</td>
<td valign="top" align="center">0.696</td>
</tr> <tr>
<td valign="top" align="left">Model 3</td>
<td valign="top" align="center">Ref</td>
<td valign="top" align="center">0.87 (0.77,0.98)</td>
<td valign="top" align="center">1.07 (0.97,1.21)</td>
<td valign="top" align="center">0.145</td>
</tr> <tr style="background-color:#dee1e1">
<td valign="top" align="left" colspan="5"><bold>Flavan_3_ols</bold></td>
</tr> <tr>
<td valign="top" align="left">No. events</td>
<td valign="top" align="center">9,121</td>
<td valign="top" align="center">9,268</td>
<td valign="top" align="center">10,327</td>
<td/>
</tr> <tr>
<td valign="top" align="left">Mean (SE) (mg/d)</td>
<td valign="top" align="center">4.12 (0.05)</td>
<td valign="top" align="center">39.23 (0.88)</td>
<td valign="top" align="center">351.61 (9.93)</td>
<td valign="top" align="center">&#x0003C; 0.0001</td>
</tr> <tr style="background-color:#dee1e1">
<td valign="top" align="left" colspan="5"><bold>OR (95%CI)</bold></td>
</tr> <tr>
<td valign="top" align="left">Model 1</td>
<td valign="top" align="center">Ref</td>
<td valign="top" align="center">0.82 (0.74,0.92)</td>
<td valign="top" align="center">0.88 (0.798,0.97)</td>
<td valign="top" align="center">0.02</td>
</tr> <tr>
<td valign="top" align="left">Model 2</td>
<td valign="top" align="center">Ref</td>
<td valign="top" align="center">0.84 (0.75,0.94)</td>
<td valign="top" align="center">0.89 (0.81,0.98)</td>
<td valign="top" align="center">0.041</td>
</tr> <tr>
<td valign="top" align="left">Model 3</td>
<td valign="top" align="center">Ref</td>
<td valign="top" align="center">0.89 (0.80,1.00)</td>
<td valign="top" align="center">0.91 (0.81,1.01)</td>
<td valign="top" align="center">0.077</td>
</tr> <tr style="background-color:#dee1e1">
<td valign="top" align="left" colspan="5"><bold>Flavones</bold></td>
</tr> <tr>
<td valign="top" align="left">No. events</td>
<td valign="top" align="center">8,570</td>
<td valign="top" align="center">9,101</td>
<td valign="top" align="center">11,048</td>
<td/>
</tr> <tr>
<td valign="top" align="left">Mean (SE) (mg/d)</td>
<td valign="top" align="center">0.10 (0.00)</td>
<td valign="top" align="center">0.51 (0.00)</td>
<td valign="top" align="center">1.54 (0.04)</td>
<td valign="top" align="center">&#x0003C; 0.0001</td>
</tr> <tr style="background-color:#dee1e1">
<td valign="top" align="left" colspan="5"><bold>OR (95%CI)</bold></td>
</tr> <tr>
<td valign="top" align="left">Model 1</td>
<td valign="top" align="center">Ref</td>
<td valign="top" align="center">0.91 (0.81,1.01)</td>
<td valign="top" align="center">0.96 (0.84,1.09)</td>
<td valign="top" align="center">0.064</td>
</tr> <tr>
<td valign="top" align="left">Model 2</td>
<td valign="top" align="center">Ref</td>
<td valign="top" align="center">0.87 (0.78,0.97)</td>
<td valign="top" align="center">0.8793 (0.78,0.99)</td>
<td valign="top" align="center">0.059</td>
</tr> <tr>
<td valign="top" align="left">Model 3</td>
<td valign="top" align="center">Ref</td>
<td valign="top" align="center">0.89 (0.79,0.98)</td>
<td valign="top" align="center">0.8855 (0.78,0.99)</td>
<td valign="top" align="center">0.582</td>
</tr> <tr style="background-color:#dee1e1">
<td valign="top" align="left" colspan="5"><bold>Flavanones</bold></td>
</tr> <tr>
<td valign="top" align="left">No. events</td>
<td valign="top" align="center">9,922</td>
<td valign="top" align="center">9,943</td>
<td valign="top" align="center">8,854</td>
<td/>
</tr> <tr>
<td valign="top" align="left">Mean (SE) (mg/d)</td>
<td valign="top" align="center">0.06 (0.00)</td>
<td valign="top" align="center">7.34 (0.15)</td>
<td valign="top" align="center">36.55 (0.50)</td>
<td valign="top" align="center">&#x0003C; 0.0001</td>
</tr> <tr style="background-color:#dee1e1">
<td valign="top" align="left" colspan="5"><bold>OR (95%CI)</bold></td>
</tr> <tr>
<td valign="top" align="left">Model 1</td>
<td valign="top" align="center">Ref</td>
<td valign="top" align="center">0.80 (0.71,0.89)</td>
<td valign="top" align="center">0.73 (0.66,0.80)</td>
<td valign="top" align="center">&#x0003C; 0.001</td>
</tr> <tr>
<td valign="top" align="left">Model 2</td>
<td valign="top" align="center">Ref</td>
<td valign="top" align="center">0.80 (0.71,0.89)</td>
<td valign="top" align="center">0.73 (0.66,0.81)</td>
<td valign="top" align="center">&#x0003C; 0.001</td>
</tr> <tr>
<td valign="top" align="left">Model 3</td>
<td valign="top" align="center">Ref</td>
<td valign="top" align="center">0.84 (0.75,0.95)</td>
<td valign="top" align="center">0.7503 (0.67,0.84)</td>
<td valign="top" align="center">&#x0003C; 0.001</td>
</tr> <tr style="background-color:#dee1e1">
<td valign="top" align="left" colspan="5"><bold>Isoflavones</bold></td>
</tr> <tr>
<td valign="top" align="left">No. events</td>
<td valign="top" align="center">10,870</td>
<td valign="top" align="center">8,570</td>
<td valign="top" align="center">9,279</td>
<td/>
</tr> <tr>
<td valign="top" align="left">Mean (SE) (mg/d)</td>
<td valign="top" align="center">0.00 (0.00)</td>
<td valign="top" align="center">0.07 (0.00)</td>
<td valign="top" align="center">5.47 (0.25)</td>
<td valign="top" align="center">&#x0003C; 0.0001</td>
</tr> <tr style="background-color:#dee1e1">
<td valign="top" align="left" colspan="5"><bold>OR (95%CI)</bold></td>
</tr> <tr>
<td valign="top" align="left">Model 1</td>
<td valign="top" align="center">Ref</td>
<td valign="top" align="center">1.05 (0.94,1.17)</td>
<td valign="top" align="center">0.69 (0.62,0.76)</td>
<td valign="top" align="center">&#x0003C; 0.001</td>
</tr> <tr>
<td valign="top" align="left">Model 2</td>
<td valign="top" align="center">Ref</td>
<td valign="top" align="center">1.04 (0.92,1.17)</td>
<td valign="top" align="center">0.69 (0.62,0.76)</td>
<td valign="top" align="center">&#x0003C; 0.001</td>
</tr> <tr>
<td valign="top" align="left">Model 3</td>
<td valign="top" align="center">Ref</td>
<td valign="top" align="center">1.09 (0.96,1.23)</td>
<td valign="top" align="center">0.70 (0.63,0.79)</td>
<td valign="top" align="center">&#x0003C; 0.001</td>
</tr> <tr style="background-color:#dee1e1">
<td valign="top" align="left" colspan="5"><bold>Anthocyanidins</bold></td>
</tr> <tr>
<td valign="top" align="left">No. events</td>
<td valign="top" align="center">9,696</td>
<td valign="top" align="center">9,371</td>
<td valign="top" align="center">9,652</td>
<td/>
</tr> <tr>
<td valign="top" align="left">Mean (SE) (mg/d)</td>
<td valign="top" align="center">0.25 (0.01)</td>
<td valign="top" align="center">6.51 (0.08)</td>
<td valign="top" align="center">36.08 (0.94)</td>
<td valign="top" align="center">&#x0003C; 0.0001</td>
</tr> <tr style="background-color:#dee1e1">
<td valign="top" align="left" colspan="5"><bold>OR (95%CI)</bold></td>
</tr> <tr>
<td valign="top" align="left">Model 1</td>
<td valign="top" align="center">Ref</td>
<td valign="top" align="center">0.81 (0.73,0.90)</td>
<td valign="top" align="center">0.61 (0.55,0.68)</td>
<td valign="top" align="center">&#x0003C; 0.001</td>
</tr> <tr>
<td valign="top" align="left">Model 2</td>
<td valign="top" align="center">Ref</td>
<td valign="top" align="center">0.82 (0.74,0.91)</td>
<td valign="top" align="center">0.62 (0.55,0.70)</td>
<td valign="top" align="center">&#x0003C; 0.001</td>
</tr>
<tr>
<td valign="top" align="left">Model 3</td>
<td valign="top" align="center">Ref</td>
<td valign="top" align="center">0.84 (0.75,0.94)</td>
<td valign="top" align="center">0.64 (0.57,0.73)</td>
<td valign="top" align="center">&#x0003C; 0.001</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>OR, odd ratios; CI, confidence interval. Data are presented as OR and 95% CIs. ORs obtained from average marginal predictions in the logistic analysis model. Model 1 adjusted for age and sex; Model 2 adjusted for age, sex, BMI, smoking status, physical activity, and alcohol consumption; Model 3 adjusted for all covariates in Model 2 plus intakes of energy, protein, carbohydrate, fiber, and total fat. <italic>P</italic>-value based on orthogonal polynomial contrasts of the adjusted prevalence estimates by category of flavonoid (total or subclass) intake.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec>
<title>Stratified analyses</title>
<p>Results presented that Q3 of total flavonoids intake was significantly related to a lower risk of MetS in participants of age &#x0003C; 20 years (OR = 0.64, 95% CI: 0.50&#x02013;0.82) compared to Q1, but Q2 of total flavonoids intake was significantly related to a lower risk of MetS in participants of age &#x0003E;60 years (OR = 0.76, 95% CI: 0.58&#x02013;1.01). Moreover, compared to Q1, Q2, and Q3, total flavonoids intake was significantly related to MetS lower risk in Mexican participants (Q2: OR = 0.78, 95% CI: 0.66&#x02013;0.92; Q3: OR = 0.79, 95% CI: 0.66&#x02013;0.95). A negative correlation between total flavonoids intake and MetS prevalence was also found in participants with a BMI of &#x0003C; 25 kg/m<sup>2</sup>. Interaction analysis revealed that different degrees of physical activity had distinct effects on the extent to which total flavonoids consumption affected MetS risk (<italic>P</italic> &#x0003C; 0.0001; <xref ref-type="table" rid="T3">Table 3</xref>). Compared to Q1, MetS risk was reduced in Q3 of the isoflavones intake (<xref ref-type="supplementary-material" rid="SM2">Supplementary material 2</xref>), while no significant difference was found in Q2 of the isoflavones intake. Moreover, no interaction existed in the effect of these covariates with isoflavones intake on MetS risk. Additionally, compared to Q1, anthocyanidins and flavanones intake in Q2 and Q3 could significantly lower MetS risk (<xref ref-type="supplementary-material" rid="SM3">Supplementary material 3</xref>, <xref ref-type="supplementary-material" rid="SM4">4</xref>).</p>
<table-wrap position="float" id="T3">
<label>Table 3</label>
<caption><p>Stratification analysis of the association between total flavonoid intake and MetS.</p></caption> 
<table frame="box" rules="all">
<thead>
<tr style="background-color:#8f9496">
<th valign="top" align="center"><bold>Covariates</bold></th>
<th valign="top" align="center"><bold>Total population (<italic>n =</italic> 28,719)</bold></th>
<th/>
<th/>
<th/>
<th valign="top" align="center"><bold><italic>p</italic> for trend</bold></th>
<th valign="top" align="center"><bold><italic>p</italic> for interaction</bold></th>
</tr>
</thead>
<tbody>
<tr style="background-color:#dee1e1">
<td valign="top" align="left" colspan="6"><bold>Age</bold></td>
<td valign="top" align="center">0.56</td>
</tr> <tr>
<td valign="top" align="left"> &#x02264; 20, <italic>n</italic></td>
<td valign="top" align="center">7,804</td>
<td valign="top" align="center">ref</td>
<td valign="top" align="center">0.72 (0.57,0.92)</td>
<td valign="top" align="center">0.64 (0.50,0.82)</td>
<td valign="top" align="center">&#x0003C; 0.001</td>
<td/>
</tr> <tr>
<td valign="top" align="left">21&#x02013;39, <italic>n</italic></td>
<td valign="top" align="center">6,813</td>
<td valign="top" align="center">ref</td>
<td valign="top" align="center">0.94 (0.77,1.13)</td>
<td valign="top" align="center">0.87 (0.66,1.14)</td>
<td valign="top" align="center">0.3</td>
<td/>
</tr> <tr>
<td valign="top" align="left">40-59, <italic>n</italic></td>
<td valign="top" align="center">7,847</td>
<td valign="top" align="center">ref</td>
<td valign="top" align="center">0.96 (0.74,1.24)</td>
<td valign="top" align="center">0.93 (0.74,1.18)</td>
<td valign="top" align="center">0.54</td>
<td/>
</tr> <tr>
<td valign="top" align="left">&#x02265;60, <italic>n</italic></td>
<td valign="top" align="center">6,255</td>
<td valign="top" align="center">ref</td>
<td valign="top" align="center">0.76 (0.58,1.01)</td>
<td valign="top" align="center">0.84 (0.66,1.07)</td>
<td valign="top" align="center">0.22</td>
<td/>
</tr> <tr>
<td valign="top" align="left">Sex</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="center">0.73</td>
</tr> <tr>
<td valign="top" align="left">Female, <italic>n</italic></td>
<td valign="top" align="center">14,690</td>
<td valign="top" align="center">ref</td>
<td valign="top" align="center">0.92 (0.80,1.05)</td>
<td valign="top" align="center">0.99 (0.87,1.13)</td>
<td valign="top" align="center">0.94</td>
<td/>
</tr> <tr>
<td valign="top" align="left">Male, <italic>n</italic></td>
<td valign="top" align="center">14,029</td>
<td valign="top" align="center">ref</td>
<td valign="top" align="center">0.86 (0.73,1.00)</td>
<td valign="top" align="center">0.90 (0.75,1.08)</td>
<td valign="top" align="center">0.27</td>
<td/>
</tr> <tr style="background-color:#dee1e1">
<td valign="top" align="left" colspan="6"><bold>Ethnicity</bold></td>
<td valign="top" align="center">0.19</td>
</tr> <tr>
<td valign="top" align="left">White, <italic>n</italic></td>
<td valign="top" align="center">18,191</td>
<td valign="top" align="center">ref</td>
<td valign="top" align="center">0.98 (0.83,1.14)</td>
<td valign="top" align="center">1.03 (0.88,1.21)</td>
<td valign="top" align="center">0.63</td>
<td/>
</tr> <tr>
<td valign="top" align="left">Black, n</td>
<td valign="top" align="center">3,465</td>
<td valign="top" align="center">ref</td>
<td valign="top" align="center">0.82 (0.67,1.00)</td>
<td valign="top" align="center">0.91 (0.73,1.12)</td>
<td valign="top" align="center">0.37</td>
<td/>
</tr> <tr>
<td valign="top" align="left">Mexican, n</td>
<td valign="top" align="center">2,970</td>
<td valign="top" align="center">ref</td>
<td valign="top" align="center">0.78 (0.66,0.92)</td>
<td valign="top" align="center">0.79 (0.66,0.95)</td>
<td valign="top" align="center">0.02</td>
<td/>
</tr> <tr>
<td valign="top" align="left">Other, n</td>
<td valign="top" align="center">4,093</td>
<td valign="top" align="center">ref</td>
<td valign="top" align="center">0.72 (0.56,0.92)</td>
<td valign="top" align="center">0.77 (0.61,0.96)</td>
<td valign="top" align="center">0.05</td>
<td/>
</tr> <tr style="background-color:#dee1e1">
<td valign="top" align="left" colspan="6"><bold>BMI (kg/m2)</bold></td>
<td valign="top" align="center">0.11</td>
</tr> <tr>
<td valign="top" align="left">BMI &#x02265; 25, <italic>n</italic></td>
<td valign="top" align="center">12,677</td>
<td valign="top" align="center">ref</td>
<td valign="top" align="center">0.98 (0.83,1.15)</td>
<td valign="top" align="center">0.97 (0.84,1.12)</td>
<td valign="top" align="center">0.7</td>
<td/>
</tr> <tr>
<td valign="top" align="left">BMI &#x02264; 25, <italic>n</italic></td>
<td valign="top" align="center">16,042</td>
<td valign="top" align="center">ref</td>
<td valign="top" align="center">0.74 (0.56,0.97)</td>
<td valign="top" align="center">0.70 (0.55,0.91)</td>
<td valign="top" align="center">0.01</td>
<td/>
</tr> <tr style="background-color:#dee1e1">
<td valign="top" align="left" colspan="6"><bold>Smoke</bold></td>
<td valign="top" align="center">0.41</td>
</tr> <tr>
<td valign="top" align="left">No, <italic>n</italic></td>
<td valign="top" align="center">24,288</td>
<td valign="top" align="center">ref</td>
<td valign="top" align="center">0.90 (0.79,1.03)</td>
<td valign="top" align="center">0.92 (0.80,1.07)</td>
<td valign="top" align="center">0.32</td>
<td/>
</tr> <tr>
<td valign="top" align="left">Yes, <italic>n</italic></td>
<td valign="top" align="center">4,431</td>
<td valign="top" align="center">ref</td>
<td valign="top" align="center">0.90 (0.72,1.12)</td>
<td valign="top" align="center">1.09 (0.86,1.38)</td>
<td valign="top" align="center">0.43</td>
<td/>
</tr> <tr>
<td valign="top" align="left" colspan="7"><bold>Alcohol drinking</bold></td>
</tr> <tr>
<td valign="top" align="left">Never, <italic>n</italic></td>
<td valign="top" align="center">6,979</td>
<td valign="top" align="center">ref</td>
<td valign="top" align="center">0.75 (0.62,0.89)</td>
<td valign="top" align="center">0.87 (0.69,1.10)</td>
<td valign="top" align="center">0.3</td>
<td valign="top" align="center">0.65</td>
</tr> <tr>
<td valign="top" align="left">Former, <italic>n</italic></td>
<td valign="top" align="center">2,257</td>
<td valign="top" align="center">ref</td>
<td valign="top" align="center">0.83 (0.63,1.09)</td>
<td valign="top" align="center">1.00 (0.72,1.39)</td>
<td valign="top" align="center">0.97</td>
<td/>
</tr> <tr>
<td valign="top" align="left">Mild, <italic>n</italic></td>
<td valign="top" align="center">8,587</td>
<td valign="top" align="center">ref</td>
<td valign="top" align="center">1.01 (0.76,1.33)</td>
<td valign="top" align="center">0.94 (0.69,1.26)</td>
<td valign="top" align="center">0.61</td>
<td/>
</tr> <tr>
<td valign="top" align="left">Moderate, <italic>n</italic></td>
<td valign="top" align="center">4,474</td>
<td valign="top" align="center">ref</td>
<td valign="top" align="center">0.93 (0.64,1.35)</td>
<td valign="top" align="center">1.13 (0.83,1.54)</td>
<td valign="top" align="center">0.35</td>
<td/>
</tr> <tr>
<td valign="top" align="left">Heavy, <italic>n</italic></td>
<td valign="top" align="center">6,422</td>
<td valign="top" align="center">ref</td>
<td valign="top" align="center">0.92 (0.74,1.15)</td>
<td valign="top" align="center">0.93 (0.72,1.18)</td>
<td valign="top" align="center">0.54</td>
<td/>
</tr> <tr>
<td valign="top" align="left" colspan="7"><bold>Physical activity</bold></td>
</tr> <tr>
<td valign="top" align="left">No, <italic>n</italic></td>
<td valign="top" align="center">10,399</td>
<td valign="top" align="center">ref</td>
<td valign="top" align="center">0.76 (0.65,0.89)</td>
<td valign="top" align="center">1.16 (1.00,1.35)</td>
<td valign="top" align="center">0.04</td>
<td valign="top" align="center">&#x0003C; 0.001</td>
</tr> <tr>
<td valign="top" align="left">Low, <italic>n</italic></td>
<td valign="top" align="center">5,775</td>
<td valign="top" align="center">ref</td>
<td valign="top" align="center">0.93 (0.73,1.18)</td>
<td valign="top" align="center">0.80 (0.62,1.03)</td>
<td valign="top" align="center">0.07</td>
<td/>
</tr> <tr>
<td valign="top" align="left">Intermediate, <italic>n</italic></td>
<td valign="top" align="center">6,304</td>
<td valign="top" align="center">ref</td>
<td valign="top" align="center">1.08 (0.86,1.35)</td>
<td valign="top" align="center">0.82 (0.64,1.05)</td>
<td valign="top" align="center">0.07</td>
<td/>
</tr> <tr>
<td valign="top" align="left">High, <italic>n</italic></td>
<td valign="top" align="center">6,241</td>
<td valign="top" align="center">ref</td>
<td valign="top" align="center">0.87 (0.69,1.09)</td>
<td valign="top" align="center">0.94 (0.71,1.24)</td>
<td valign="top" align="center">0.73</td>
<td/>
</tr> <tr style="background-color:#dee1e1">
<td valign="top" align="left" colspan="6"><bold>Hypertension</bold></td>
<td valign="top" align="center">0.08</td>
</tr> <tr>
<td valign="top" align="left">No, <italic>n</italic></td>
<td valign="top" align="center">20,816</td>
<td valign="top" align="center">ref</td>
<td valign="top" align="center">0.79 (0.69,0.91)</td>
<td valign="top" align="center">0.87 (0.74,1.04)</td>
<td valign="top" align="center">0.16</td>
<td/>
</tr> <tr>
<td valign="top" align="left">Yes, <italic>n</italic></td>
<td valign="top" align="center">7,903</td>
<td valign="top" align="center">ref</td>
<td valign="top" align="center">0.99 (0.83,1.19)</td>
<td valign="top" align="center">0.92 (0.77,1.09)</td>
<td valign="top" align="center">0.29</td>
<td/>
</tr> <tr style="background-color:#dee1e1">
<td valign="top" align="left" colspan="6"><bold>Diabetic</bold></td>
<td valign="top" align="center">0.28</td>
</tr> <tr>
<td valign="top" align="left">No, <italic>n</italic></td>
<td valign="top" align="center">23,972</td>
<td valign="top" align="center">ref</td>
<td valign="top" align="center">0.88 (0.75,1.02)</td>
<td valign="top" align="center">0.92 (0.80,1.06)</td>
<td valign="top" align="center">0.32</td>
<td/>
</tr> <tr>
<td valign="top" align="left">Yes, <italic>n</italic></td>
<td valign="top" align="center">4,747</td>
<td valign="top" align="center">ref</td>
<td valign="top" align="center">0.88 (0.71,1.09)</td>
<td valign="top" align="center">0.86 (0.72,1.04)</td>
<td valign="top" align="center">0.14</td>
<td/>
</tr> <tr style="background-color:#dee1e1">
<td valign="top" align="left" colspan="6"><bold>CVD</bold></td>
<td valign="top" align="center">0.07</td>
</tr> <tr>
<td valign="top" align="left">No, <italic>n</italic></td>
<td valign="top" align="center">26,855</td>
<td valign="top" align="center">ref</td>
<td valign="top" align="center">0.91 (0.80,1.03)</td>
<td valign="top" align="center">0.96 (0.84,1.10)</td>
<td valign="top" align="center">0.62</td>
<td/>
</tr> <tr>
<td valign="top" align="left">Yes, <italic>n</italic></td>
<td valign="top" align="center">1,864</td>
<td valign="top" align="center">ref</td>
<td valign="top" align="center">0.71 (0.54,0.94)</td>
<td valign="top" align="center">0.72 (0.52,0.98)</td>
<td valign="top" align="center">0.05</td>
<td/>
</tr> <tr style="background-color:#dee1e1">
<td valign="top" align="left" colspan="6"><bold>CKD</bold></td>
<td valign="top" align="center">0.002</td>
</tr> <tr>
<td valign="top" align="left">No, <italic>n</italic></td>
<td valign="top" align="center">20,867</td>
<td valign="top" align="center">ref</td>
<td valign="top" align="center">0.96 (0.84,1.10)</td>
<td valign="top" align="center">0.92 (0.80,1.05)</td>
<td valign="top" align="center">0.21</td>
<td/>
</tr> <tr>
<td valign="top" align="left">Yes, <italic>n</italic></td>
<td valign="top" align="center">7,852</td>
<td valign="top" align="center">ref</td>
<td valign="top" align="center">0.77 (0.63,0.94)</td>
<td valign="top" align="center">1.04 (0.84,1.29)</td>
<td valign="top" align="center">0.6</td>
<td/>
</tr> <tr style="background-color:#dee1e1">
<td valign="top" align="left" colspan="6"><bold>COPD</bold></td>
<td valign="top" align="center">0.03</td>
</tr> <tr>
<td valign="top" align="left">No, <italic>n</italic></td>
<td valign="top" align="center">27,645</td>
<td valign="top" align="center">ref</td>
<td valign="top" align="center">0.91 (0.80,1.02)</td>
<td valign="top" align="center">0.94 (0.82,1.07)</td>
<td valign="top" align="center">0.41</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Yes, <italic>n</italic></td>
<td valign="top" align="center">1,074</td>
<td valign="top" align="center">ref</td>
<td valign="top" align="center">0.58 (0.38,0.89)</td>
<td valign="top" align="center">1.07 (0.68,1.69)</td>
<td valign="top" align="center">0.66</td>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>OR, odd ratios; CI, confidence interval. Data are presented as OR and 95% CIs. ORs were obtained by the logistic analysis with adjusted intakes of energy, protein, carbohydrate, fiber, and total fat. <italic>P</italic>-value based on orthogonal polynomial contrasts of the adjusted prevalence estimates by category of flavonoid (total or subclass) intake. BMI, body mass index; CKD, chronic kidney disease; MET, metabolic equivalent; COPD, chronic obstructive pulmonary disease; CVD, cardiovascular disease; MetS, metabolic syndrome.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec>
<title>Overall dose&#x02013;response associations between flavonoids intake and MetS</title>
<p>We employed an RCS to analyze the dose&#x02013;response relationship of flavonoid consumption (<xref ref-type="fig" rid="F1">Figure 1</xref>). The median total intake of total flavonoids, flavanones, isoflavones, and anthocyanidins was set as the reference point to illustrate the association between flavonoids intake and MetS reduction. <xref ref-type="fig" rid="F1">Figure 1A</xref> displays a non-linear between flavonoid intake and the risk of MetS after adjusting for age, sex, ethnicity, lifestyle, and other nutrient intakes. MetS prevalence decreased steadily following the increase in total intake of flavonoids until the total flavonoids&#x00027; intake reached 237.67 mg/day. Then, MetS risk began to increase as the total flavonoids intake evaluate further. Flavanones (<xref ref-type="fig" rid="F1">Figure 1B</xref>) and anthocyanidins (<xref ref-type="fig" rid="F1">Figure 1D</xref>) also displayed V-shaped relationship curves. At 34.37 mg/day (flavanones) and 23.13 mg/day (anthocyanidins) points, MetS risk was the lowest, respectively. In contrast to these flavonoids, when isoflavones intake increased, MetS risk consistently dropped, and the downward trend then slightly increased (<xref ref-type="fig" rid="F1">Figure 1C</xref>). In addition, there was a slight difference between men and women in the dose&#x02013;response relationship of total flavonoids intake and flavanones intake. As shown in <xref ref-type="supplementary-material" rid="SM5">Supplementary Figure 1</xref>, the change point of total flavonoids intake was 222 and 237 mg/day for women and men, respectively, and the change point of flavanones intake was 31.09 and 39.09 mg/day for women and men, respectively.</p>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption><p>The non-linear trend between the intake of flavonoids and the risk of MetS using a restricted cubic spline. Data are presented as log (odds ratios) (y-axis) and level of flavonoids (mg/d) after adjusted for age, sex, ethnicity, drinking, smoking, physical activity, and other nutrient intake (fiber, fat, protein, and carbohydrate). <bold>(A)</bold> Total flavonoids, <bold>(B)</bold> flavanones, <bold>(C)</bold> isoflavones, and <bold>(D)</bold> anthocyanidins.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fnut-10-1195107-g0001.tif"/>
</fig></sec></sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>This study first investigated the relationship between total flavonoids and their subclasses intake and the MetS risk in the USA population based on NHANES 2007&#x02013;2010 and 2017&#x02013;2018. The results demonstrated that higher total flavonoids intake was significantly related to a lower MetS risk, with 13 and 15% reductions in Q3 and Q2 vs. Q1, respectively. Moreover, this reverse effect of total flavonoids on MetS risk was considerably pronounced in men, younger, Mexican, obese, and CVD individuals. The flavanones, isoflavones, and anthocyanidins intake are also inversely related to MetS risk in any population. Furthermore, the dose&#x02013;response effect demonstrated a U-shaped curve between the total flavonoids intake (change point at 237.67 mg/day), flavanones (change point at 34.37 mg/day), anthocyanidins (change point at 23.13 mg/day), and MetS risk.</p>
<p>Currently, MetS is an urgent public health problem. Previous epidemiological surveys predicted that the prevalence rate of MetS ranges from 20 to 45%. Additionally, over 85% of adults will be overweight or obese by 2030 (<xref ref-type="bibr" rid="B36">36</xref>). Therefore, it is critical to explore effective intervention manner for MetS. Flavonoid-enriched diet and moderate physical activity could be the most effective and less costly manner to improve MetS. A previous study investigated the relationship between flavonoids intake and MetS risk. For instance, higher dietary flavonoid intakes were negatively associated with MetS among Polish individuals (<xref ref-type="bibr" rid="B37">37</xref>), Iranian adults (<xref ref-type="bibr" rid="B29">29</xref>, <xref ref-type="bibr" rid="B38">38</xref>), and Chinese urban adults (<xref ref-type="bibr" rid="B5">5</xref>). In this study, total flavonoids intake, flavanones, isoflavones, and anthocyanidins can also reduce the metabolic syndrome risk, even after adjusting for sex, age, and other factors, which was different from a previous study performed in the Iran population (<xref ref-type="bibr" rid="B29">29</xref>). Flavonoids have been associated with other health benefits, including reduced T2D and CVD risk, certain cancers, and neurodegenerative disorders. For example, the Health Professionals Follow-Up Study (1986&#x02013;2006) reported that higher consumption of anthocyanins and anthocyanin-rich fruit was associated with a lower risk of T2D in the USA population (<xref ref-type="bibr" rid="B39">39</xref>). Total flavonoids, anthocyanidins, flavan-3-ols, and flavanones intake were also inversely associated with high CVD and atrial fibrillation (AF) risk (<xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B40">40</xref>), whereas intakes of flavones and flavonols were not. Moreover, a high intake of flavones (OR 0.62), flavanones (0.64), and anthocyanins were associated with lower odds of subjective cognitive decline (SCD) (<xref ref-type="bibr" rid="B41">41</xref>).</p>
<p>Flavonoids are a large, diverse group of bioactive polyphenolic compounds mainly sourced from fruits, vegetables, cereals, and tea (<xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B42">42</xref>). There are six subclasses of flavonoids: anthocyanidins (fruits, particularly berries), flavan-3-ols (tea), flavanones (citrus fruits and juices), flavones (tea, peppers, and celery), flavonols (tea, onions, and potatoes), and isoflavones (soy products) (<xref ref-type="bibr" rid="B43">43</xref>&#x02013;<xref ref-type="bibr" rid="B45">45</xref>). An investigation of the main food sources of total polyphenol intake and subclasses between 2008&#x02013;2009 and 2017&#x02013;2018 in the Brazilian population showed that coffee was the most significant food source for hydroxycinnamic acids and phenolic acids, contributing with 59.4 and 54.1% to the daily total polyphenols intake (<xref ref-type="bibr" rid="B46">46</xref>). Tea, coffee, and fruits are the main sources of flavonoids. Among the population of the USA, flavan-3-ols, primarily derived from tea (94%), comprised 80% of flavonoids intake (<xref ref-type="bibr" rid="B47">47</xref>). It has been found that consumption of certain foods, such as blueberries, strawberries, apples, orange juice, grapefruit juice, bananas, onions, tea, and peaches, could independently predict the development of SCD in the future (<xref ref-type="bibr" rid="B41">41</xref>). However, future multiple-center longitudinal studies must confirm the causal relationship between each flavonoid intake and metabolic syndrome and other diseases.</p>
<p>Indeed, earlier research specified that flavonoids improved metabolic syndrome through their antioxidant and anti-inflammatory properties to repair endothelial function and enhance nitric oxide (NO) bioavailability (<xref ref-type="bibr" rid="B48">48</xref>, <xref ref-type="bibr" rid="B49">49</xref>). For example, naringenin, one flavanone compound, can downregulate the levels of triglyceride (TG) and phospholipid and increase the gene expression of PPAR-&#x003B1;, CPT-1, and uncoupling protein (UCP)-2 to reduce blood lipid (<xref ref-type="bibr" rid="B50">50</xref>, <xref ref-type="bibr" rid="B51">51</xref>). It could also activate the peroxisome proliferator-activated receptor (PPAR) and adiponectin expression and decrease the liver X receptors (LXR)-&#x003B1; level (<xref ref-type="bibr" rid="B52">52</xref>, <xref ref-type="bibr" rid="B53">53</xref>) to treat adiposity and atherosclerosis. Moreover, naringenin showed strong anti-inflammation activity by inhibiting NF-&#x003BA;B activation, the levels of myeloperoxidase (MPO), N-acetyl-&#x003B2;-D-glucosaminidase (NAG), TNF-&#x003B1;, interleukin (IL)-1&#x003B2;, IL-6, and IL-12 (<xref ref-type="bibr" rid="B54">54</xref>), and involved into the NO-cGMP-PKG-KATP signaling pathway (<xref ref-type="bibr" rid="B36">36</xref>). Therefore, naringenin can potentially improve MetS, which aligns with our findings that flavanones may lower the risk of MetS. Isoflavones, like genistein and puerarin, may influence insulin release and lipids metabolism by blocking adipocyte-specific proteins and controlling PPAR-&#x003B3; levels (<xref ref-type="bibr" rid="B55">55</xref>&#x02013;<xref ref-type="bibr" rid="B57">57</xref>). Additionally, consuming anthocyanins, such as pelargonidin, cyanidin, delphinidin, peonidin, and malvidin, can help treat the pathology of MetS and disorders linked to MetS by reducing body weight, insulin resistance, inflammation, and oxidative stress injury (<xref ref-type="bibr" rid="B36">36</xref>). Recent studies have found that dietary lifestyle can affect the structure of the gut microbiome and its metabolites, thereby influencing the development of MetS. By altering the host gut flora, resveratrol, for instance, could decrease body weight and body fat to improve glucose homeostasis and obesity (<xref ref-type="bibr" rid="B58">58</xref>). Future randomized clinical trials should be designed to confirm these potential mechanisms in multiple districts.</p>
<p>Although flavonoid intake effectively attenuated MetS, RCS curves showed complex non-linear relationships between flavonoids intake and MetS risk rather than monotonic increasing or decreasing relationships. Additionally, the RCS curves of flavonoids consumption showed slight differences for men and women, indicating that the prevalence of MetS and the amount of flavonoids intake varied by gender. Indeed, men had a significantly higher intake of flavanones (citrus) and flavonols (mixed dishes and beer) than women. Women had a significantly higher intake of anthocyanidins (berries) compared with men (<xref ref-type="bibr" rid="B47">47</xref>). Moreover, our previous study found that a diet of 7,8-dihydroxyflavone (7,8-DHF) could protect the function of the female hypothalamic&#x02013;pituitary&#x02013;ovarian (HPO) axis and activate tissue-specific ER&#x003B1; to maintain body metabolic homeostasis (<xref ref-type="bibr" rid="B59">59</xref>). Additionally, intake rates of flavonoids varied by geographic region, dietary preferences, sociodemographic characteristics, and lifestyle choices. Previous studies reported that the mean flavonoids intake was 34.68 mg/day in Chinese (<xref ref-type="bibr" rid="B5">5</xref>), whereas the mean flavonoids intake was 189.7 mg/day in 1999&#x02013;2002 (<xref ref-type="bibr" rid="B60">60</xref>) in the U.S. population. Future large-scale and multi-center clinical trials should be conducted to establish safe doses and create an individual&#x00027;s healthcare program for the potential health implications of attuning the risk of MetS.</p>
<p>The strength of this study was that it was the first large sample, population-based, cross-sectional study that reported the effect of flavonoid intake and its subclasses on MetS based on NHANES from 2007&#x02013;2010 to 2017&#x02013;2018. The effects of total flavonoids, flavanones, isoflavones, and anthocyanidins consumption on MetS were evaluated, providing diet recommendations for people in the USA. However, this study has several limitations. First, this study is a cross-sectional investigation that could only present relationships between flavonoids and MetS. Second, flavonoid data was obtained by the 24-h recall, whereas MetS might have already occurred before the interview. Therefore, a bias in the effects of flavonoids intake on MetS is unavoidable. Third, the participants included in this study were all Americans. Consequently, the effects of flavonoids intake on MetS observed in this study may be unsuitable for Asians or other populations.</p></sec>
<sec sec-type="conclusions" id="s5">
<title>Conclusion</title>
<p>Higher flavonoid intakes could reduce MetS risk in the USA population. In addition, flavanones, isoflavones, and anthocyanidins are the most effective flavonoid subclasses in attenuating MetS, while other flavonoid subclasses showed a relatively small effect. Total flavonoids, flavanones, isoflavones, and anthocyanidins demonstrated non-linear relationships with MetS risk. The most effective doses of total flavonoids, flavanones, and anthocyanidins were 237.67, 34.37, and 23.13 mg/day, respectively. Further large-scale randomized controlled trials should be performed to establish causality between flavonoids intake and MetS risk and the safe doses of flavonoids in different populations. Regarding the perspective of public health, our findings may provide fresh insight into MetS risk based on flavonoids intake and build future tailored dietary recommendations as a preventative tool against metabolic syndrome based on the most effectively calculated amounts.</p></sec>
<sec sec-type="data-availability" id="s6">
<title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p></sec>
<sec sec-type="author-contributions" id="s7">
<title>Author contributions</title>
<p>ZZ and WX: conceptualization and writing&#x02014;review and editing. WG and XD: methodology. WG and CX: software. GM and CX: validation. ZZ: formal analysis. XX: data curation. GM and WX: writing&#x02014;original draft preparation. All authors have read and agreed to the published version of the manuscript.</p></sec>
</body>
<back>
<sec sec-type="funding-information" id="s8">
<title>Funding</title>
<p>This study was supported by the project of the Health Bureau of Zhejiang Province (2021ZB009).</p>
</sec>

<sec sec-type="COI-statement" id="conf1">
<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="s9">
<title>Publisher&#x00027;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="s10">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fnut.2023.1195107/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fnut.2023.1195107/full#supplementary-material</ext-link></p>
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<supplementary-material xlink:href="Table_2.XLSX" id="SM2" mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet" xmlns:xlink="http://www.w3.org/1999/xlink"/>
<supplementary-material xlink:href="Table_3.XLSX" id="SM3" mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet" xmlns:xlink="http://www.w3.org/1999/xlink"/>
<supplementary-material xlink:href="Table_4.XLSX" id="SM4" mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet" xmlns:xlink="http://www.w3.org/1999/xlink"/>
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</sec>

<ref-list>
<title>References</title>
<ref id="B1">
<label>1.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Alberti</surname> <given-names>KG</given-names></name> <name><surname>Eckel</surname> <given-names>RH</given-names></name> <name><surname>Grundy</surname> <given-names>SM</given-names></name> <name><surname>Zimmet</surname> <given-names>PZ</given-names></name> <name><surname>Cleeman</surname> <given-names>JI</given-names></name> <name><surname>Donato</surname> <given-names>KA</given-names></name> <etal/></person-group>. <article-title>Harmonizing the metabolic syndrome: a joint interim statement of the International Diabetes Federation Task Force on Epidemiology and Prevention; National Heart, Lung, and Blood Institute; American Heart Association; World Heart Federation; International Atherosclerosis Society; and International Association for the Study of Obesity</article-title>. <source>Circulation.</source> (<year>2009</year>) <volume>120</volume>:<fpage>1640</fpage>&#x02013;<lpage>5</lpage>. <pub-id pub-id-type="doi">10.1161/CIRCULATIONAHA.109.192644</pub-id><pub-id pub-id-type="pmid">19805654</pub-id></citation></ref>
<ref id="B2">
<label>2.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Bonora</surname> <given-names>E</given-names></name> <name><surname>Kiechl</surname> <given-names>S</given-names></name> <name><surname>Willeit</surname> <given-names>J</given-names></name> <name><surname>Oberhollenzer</surname> <given-names>F</given-names></name> <name><surname>Egger</surname> <given-names>G</given-names></name> <name><surname>Bonadonna</surname> <given-names>RC</given-names></name> <etal/></person-group>. <article-title>Metabolic syndrome: epidemiology and more extensive phenotypic description. Cross-sectional data from the Bruneck Study</article-title>. <source>Int J Obes Relat Metab Disord.</source> (<year>2003</year>) <volume>27</volume>:<fpage>1283</fpage>&#x02013;<lpage>9</lpage>. <pub-id pub-id-type="doi">10.1038/sj.ijo.0802381</pub-id><pub-id pub-id-type="pmid">14513078</pub-id></citation></ref>
<ref id="B3">
<label>3.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Beyene Kassaw</surname> <given-names>A</given-names></name> <name><surname>Tezera Endale</surname> <given-names>H</given-names></name> <name><surname>Hunie Tesfa</surname> <given-names>K</given-names></name> <name><surname>Derbew Molla</surname> <given-names>M</given-names></name></person-group>. <article-title>Metabolic syndrome and its associated factors among epileptic patients at Dessie Comprehensive Specialized Hospital, Northeast Ethiopia; a hospital-based comparative cross-sectional study</article-title>. <source>PLoS ONE.</source> (<year>2022</year>) <volume>17</volume>:<fpage>e0279580</fpage>. <pub-id pub-id-type="doi">10.1371/journal.pone.0279580</pub-id><pub-id pub-id-type="pmid">36580471</pub-id></citation></ref>
<ref id="B4">
<label>4.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Lin</surname> <given-names>Y</given-names></name> <name><surname>Wang</surname> <given-names>Y</given-names></name> <name><surname>Li</surname> <given-names>PF</given-names></name></person-group>. <article-title>PPAR&#x003B1;: An emerging target of metabolic syndrome, neurodegenerative and cardiovascular diseases</article-title>. <source>Front Endocrinol (Lausanne).</source> (<year>2022</year>) <volume>13</volume>:<fpage>1074911</fpage>. <pub-id pub-id-type="doi">10.3389/fendo.2022.1074911</pub-id><pub-id pub-id-type="pmid">36589809</pub-id></citation></ref>
<ref id="B5">
<label>5.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Qu</surname> <given-names>R</given-names></name> <name><surname>Jia</surname> <given-names>Y</given-names></name> <name><surname>Liu</surname> <given-names>J</given-names></name> <name><surname>Jin</surname> <given-names>S</given-names></name> <name><surname>Han</surname> <given-names>T</given-names></name> <name><surname>Na</surname> <given-names>L</given-names></name></person-group>. <article-title>Dietary flavonoids, copper intake, and risk of metabolic syndrome in chinese adults</article-title>. <source>Nutrients.</source> (<year>2018</year>) <volume>10</volume>:<fpage>991</fpage>. <pub-id pub-id-type="doi">10.3390/nu10080991</pub-id><pub-id pub-id-type="pmid">30060622</pub-id></citation></ref>
<ref id="B6">
<label>6.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Castro-Barquero</surname> <given-names>S</given-names></name> <name><surname>Ruiz-Le&#x000F3;n</surname> <given-names>AM</given-names></name> <name><surname>Sierra-P&#x000E9;rez</surname> <given-names>M</given-names></name> <name><surname>Estruch</surname> <given-names>R</given-names></name> <name><surname>Casas</surname> <given-names>R</given-names></name></person-group>. <article-title>Dietary strategies for metabolic syndrome: a comprehensive review</article-title>. <source>Nutrients.</source> (<year>2020</year>) <volume>12</volume>:<fpage>2983</fpage>. <pub-id pub-id-type="doi">10.3390/nu12102983</pub-id><pub-id pub-id-type="pmid">33003472</pub-id></citation></ref>
<ref id="B7">
<label>7.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>de la Iglesia</surname> <given-names>R</given-names></name> <name><surname>Loria-Kohen</surname> <given-names>V</given-names></name> <name><surname>Zulet</surname> <given-names>MA</given-names></name> <name><surname>Martinez</surname> <given-names>JA</given-names></name> <name><surname>Reglero</surname> <given-names>G</given-names></name> <name><surname>Ramirez de Molina</surname> <given-names>A</given-names></name></person-group>. <article-title>Dietary strategies implicated in the prevention and treatment of metabolic syndrome</article-title>. <source>Int J Mol Sci.</source> (<year>2016</year>) <volume>17</volume>:<fpage>1877</fpage>. <pub-id pub-id-type="doi">10.3390/ijms17111877</pub-id><pub-id pub-id-type="pmid">27834920</pub-id></citation></ref>
<ref id="B8">
<label>8.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Finicelli</surname> <given-names>M</given-names></name> <name><surname>Squillaro</surname> <given-names>T</given-names></name> <name><surname>Di Cristo</surname> <given-names>F</given-names></name> <name><surname>Di Salle</surname> <given-names>A</given-names></name> <name><surname>Melone</surname> <given-names>MAB</given-names></name> <name><surname>Galderisi</surname> <given-names>U</given-names></name> <etal/></person-group>. <article-title>Metabolic syndrome, Mediterranean diet, and polyphenols: Evidence and perspectives</article-title>. <source>J Cell Physiol.</source> (<year>2019</year>) <volume>234</volume>:<fpage>5807</fpage>&#x02013;<lpage>26</lpage>. <pub-id pub-id-type="doi">10.1002/jcp.27506</pub-id><pub-id pub-id-type="pmid">30317573</pub-id></citation></ref>
<ref id="B9">
<label>9.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Say&#x000F3;n-Orea</surname> <given-names>C</given-names></name> <name><surname>Razquin</surname> <given-names>C</given-names></name> <name><surname>Bull&#x000F3;</surname> <given-names>M</given-names></name> <name><surname>Corella</surname> <given-names>D</given-names></name> <name><surname>Fit&#x000F3;</surname> <given-names>M</given-names></name> <name><surname>Romaguera</surname> <given-names>D</given-names></name> <etal/></person-group>. <article-title>Effect of a nutritional and behavioral intervention on energy-reduced mediterranean diet adherence among patients with metabolic syndrome: interim analysis of the PREDIMED-Plus randomized Clinical Trial</article-title>. <source>Jama.</source> (<year>2019</year>) <volume>322</volume>:<fpage>1486</fpage>&#x02013;<lpage>99</lpage>. <pub-id pub-id-type="doi">10.1001/jama.2019.14630</pub-id><pub-id pub-id-type="pmid">31613346</pub-id></citation></ref>
<ref id="B10">
<label>10.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Chen</surname> <given-names>G</given-names></name> <name><surname>Li</surname> <given-names>X</given-names></name> <name><surname>Saleri</surname> <given-names>F</given-names></name> <name><surname>Guo</surname> <given-names>M</given-names></name></person-group>. <article-title>Analysis of flavonoids in rhamnus davurica and its antiproliferative activities</article-title>. <source>Molecules.</source> (<year>2016</year>) <volume>21</volume>:<fpage>1275</fpage>. <pub-id pub-id-type="doi">10.3390/molecules21101275</pub-id><pub-id pub-id-type="pmid">27669205</pub-id></citation></ref>
<ref id="B11">
<label>11.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Laouali</surname> <given-names>N</given-names></name> <name><surname>Berrandou</surname> <given-names>T</given-names></name> <name><surname>A Rothwell</surname> <given-names>J</given-names></name> <name><surname>Shah</surname> <given-names>S</given-names></name> <name><surname>El Fatouhi</surname> <given-names>D</given-names></name> <name><surname>Romana Mancini</surname> <given-names>F</given-names></name> <etal/></person-group>. <article-title>Profiles of polyphenol intake and type 2 diabetes risk in 60,586 women followed for 20 years: results from the E3N cohort study</article-title>. <source>Nutrients.</source> (<year>2020</year>) <volume>12</volume>:<fpage>1934</fpage>. <pub-id pub-id-type="doi">10.3390/nu12071934</pub-id><pub-id pub-id-type="pmid">32610657</pub-id></citation></ref>
<ref id="B12">
<label>12.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Rub&#x000ED;n-Garc&#x000ED;a</surname> <given-names>M</given-names></name> <name><surname>Vitelli-Storelli</surname> <given-names>F</given-names></name> <name><surname>Molina</surname> <given-names>AJ</given-names></name> <name><surname>Zamora-Ros</surname> <given-names>R</given-names></name> <name><surname>Aragon&#x000E9;s</surname> <given-names>N</given-names></name> <name><surname>Adarnaz</surname> <given-names>E</given-names></name> <etal/></person-group>. <article-title>Association between polyphenol intake and gastric cancer risk by anatomic and histologic subtypes: MCC-Spain</article-title>. <source>Nutrients.</source> (<year>2020</year>) <volume>12</volume>:<fpage>3281</fpage>. <pub-id pub-id-type="doi">10.3390/nu12113281</pub-id><pub-id pub-id-type="pmid">33114671</pub-id></citation></ref>
<ref id="B13">
<label>13.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Taguchi</surname> <given-names>C</given-names></name> <name><surname>Kishimoto</surname> <given-names>Y</given-names></name> <name><surname>Fukushima</surname> <given-names>Y</given-names></name> <name><surname>Kondo</surname> <given-names>K</given-names></name> <name><surname>Yamakawa</surname> <given-names>M</given-names></name> <name><surname>Wada</surname> <given-names>K</given-names></name> <etal/></person-group>. <article-title>Dietary intake of total polyphenols and the risk of all-cause and specific-cause mortality in Japanese adults: the Takayama study</article-title>. <source>Eur J Nutr.</source> (<year>2020</year>) <volume>59</volume>:<fpage>1263</fpage>&#x02013;<lpage>71</lpage>. <pub-id pub-id-type="doi">10.1007/s00394-019-02136-9</pub-id><pub-id pub-id-type="pmid">31828472</pub-id></citation></ref>
<ref id="B14">
<label>14.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Esposito</surname> <given-names>S</given-names></name> <name><surname>Gialluisi</surname> <given-names>A</given-names></name> <name><surname>Costanzo</surname> <given-names>S</given-names></name> <name><surname>Di Castelnuovo</surname> <given-names>A</given-names></name> <name><surname>Ruggiero</surname> <given-names>E</given-names></name> <name><surname>De Curtis</surname> <given-names>A</given-names></name> <etal/></person-group>. <article-title>Dietary polyphenol intake is associated with biological aging, a novel predictor of cardiovascular disease: cross-sectional findings from the moli-sani study</article-title>. <source>Nutrients.</source> (<year>2021</year>) <volume>13</volume>:<fpage>1701</fpage>. <pub-id pub-id-type="doi">10.3390/nu13051701</pub-id><pub-id pub-id-type="pmid">34067821</pub-id></citation></ref>
<ref id="B15">
<label>15.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Gao</surname> <given-names>Q</given-names></name> <name><surname>Zhong</surname> <given-names>C</given-names></name> <name><surname>Zhou</surname> <given-names>X</given-names></name> <name><surname>Chen</surname> <given-names>R</given-names></name> <name><surname>Xiong</surname> <given-names>T</given-names></name> <name><surname>Hong</surname> <given-names>M</given-names></name> <etal/></person-group>. <article-title>Inverse association of total polyphenols and flavonoids intake and the intake from fruits with the risk of gestational diabetes mellitus: A prospective cohort study</article-title>. <source>Clin Nutr.</source> (<year>2021</year>) <volume>40</volume>:<fpage>550</fpage>&#x02013;<lpage>9</lpage>. <pub-id pub-id-type="doi">10.1016/j.clnu.2020.05.053</pub-id><pub-id pub-id-type="pmid">32593522</pub-id></citation></ref>
<ref id="B16">
<label>16.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Lanuza</surname> <given-names>F</given-names></name> <name><surname>Zamora-Ros</surname> <given-names>R</given-names></name> <name><surname>Bondonno</surname> <given-names>NP</given-names></name> <name><surname>Mero&#x000F1;o</surname> <given-names>T</given-names></name> <name><surname>Rostgaard-Hansen</surname> <given-names>AL</given-names></name> <name><surname>Riccardi</surname> <given-names>G</given-names></name> <etal/></person-group>. <article-title>Dietary polyphenols, metabolic syndrome and cardiometabolic risk factors: An observational study based on the DCH-NG subcohort</article-title>. <source>Nutr Metab Cardiovasc Dis.</source> (<year>2023</year>) <volume>33</volume>:<fpage>1167</fpage>&#x02013;<lpage>78</lpage>. <pub-id pub-id-type="doi">10.1016/j.numecd.2023.02.022</pub-id><pub-id pub-id-type="pmid">36948936</pub-id></citation></ref>
<ref id="B17">
<label>17.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Zhou</surname> <given-names>Y</given-names></name> <name><surname>Gu</surname> <given-names>K</given-names></name> <name><surname>Zhou</surname> <given-names>F</given-names></name></person-group>. <article-title>Dietary flavonoid intake and cancer mortality: a population-based cohort study</article-title>. <source>Nutrients</source>. (<year>2023</year>) <volume>15</volume>:<fpage>976</fpage>. <pub-id pub-id-type="doi">10.3390/nu15040976</pub-id><pub-id pub-id-type="pmid">36839330</pub-id></citation></ref>
<ref id="B18">
<label>18.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Castro-Barquero</surname> <given-names>S</given-names></name> <name><surname>Tresserra-Rimbau</surname> <given-names>A</given-names></name> <name><surname>Vitelli-Storelli</surname> <given-names>F</given-names></name> <name><surname>Dom&#x000E9;nech</surname> <given-names>M</given-names></name> <name><surname>Salas-Salvad&#x000F3;</surname> <given-names>J</given-names></name> <name><surname>Mart&#x000ED;n-S&#x000E1;nchez</surname> <given-names>V</given-names></name> <etal/></person-group>. <article-title>Dietary polyphenol intake is associated with HDL-cholesterol and a better profile of other components of the metabolic syndrome: A PREDIMED-plus sub-study</article-title>. <source>Nutrients.</source> (<year>2020</year>) <volume>12</volume>:<fpage>689</fpage>. <pub-id pub-id-type="doi">10.3390/nu12030689</pub-id><pub-id pub-id-type="pmid">32143308</pub-id></citation></ref>
<ref id="B19">
<label>19.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Sebastian</surname> <given-names>RS</given-names></name> <name><surname>Wilkinson Enns</surname> <given-names>C</given-names></name> <name><surname>Goldman</surname> <given-names>JD</given-names></name> <name><surname>Moshfegh</surname> <given-names>AJ</given-names></name></person-group>. <article-title>Dietary Flavonoid Intake Is Inversely Associated with Cardiovascular Disease Risk as Assessed by Body Mass Index and Waist Circumference among Adults in the United States</article-title>. <source>Nutrients.</source> (<year>2017</year>) <volume>9</volume>:<fpage>817</fpage>. <pub-id pub-id-type="doi">10.3390/nu9080827</pub-id><pub-id pub-id-type="pmid">28767062</pub-id></citation></ref>
<ref id="B20">
<label>20.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Cherrak</surname> <given-names>SA</given-names></name> <name><surname>Mokhtari-Soulimane</surname> <given-names>N</given-names></name> <name><surname>Berroukeche</surname> <given-names>F</given-names></name> <name><surname>Bensenane</surname> <given-names>B</given-names></name> <name><surname>Cherbonnel</surname> <given-names>A</given-names></name> <name><surname>Merzouk</surname> <given-names>H</given-names></name> <etal/></person-group>. <article-title>In Vitro Antioxidant versus Metal Ion Chelating Properties of Flavonoids: A Structure-Activity Investigation</article-title>. <source>PLoS ONE.</source> (<year>2016</year>) <volume>11</volume>:<fpage>e0165575</fpage>. <pub-id pub-id-type="doi">10.1371/journal.pone.0165575</pub-id><pub-id pub-id-type="pmid">27788249</pub-id></citation></ref>
<ref id="B21">
<label>21.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Dinda</surname> <given-names>B</given-names></name> <name><surname>Dinda</surname> <given-names>M</given-names></name> <name><surname>Roy</surname> <given-names>A</given-names></name> <name><surname>Dinda</surname> <given-names>S</given-names></name></person-group>. <article-title>Dietary plant flavonoids in prevention of obesity and diabetes</article-title>. <source>Adv Protein Chem Struct Biol.</source> (<year>2020</year>) <volume>120</volume>:<fpage>159</fpage>&#x02013;<lpage>235</lpage>. <pub-id pub-id-type="doi">10.1016/bs.apcsb.2019.08.006</pub-id><pub-id pub-id-type="pmid">32085882</pub-id></citation></ref>
<ref id="B22">
<label>22.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Khalilpourfarshbafi</surname> <given-names>M</given-names></name> <name><surname>Gholami</surname> <given-names>K</given-names></name> <name><surname>Murugan</surname> <given-names>DD</given-names></name> <name><surname>Abdul Sattar</surname> <given-names>MZ</given-names></name> <name><surname>Abdullah</surname> <given-names>NA</given-names></name></person-group>. <article-title>Differential effects of dietary flavonoids on adipogenesis</article-title>. <source>Eur J Nutr.</source> (<year>2019</year>) <volume>58</volume>:<fpage>5</fpage>&#x02013;<lpage>25</lpage>. <pub-id pub-id-type="doi">10.1007/s00394-018-1663-8</pub-id><pub-id pub-id-type="pmid">29541908</pub-id></citation></ref>
<ref id="B23">
<label>23.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Luo</surname> <given-names>T</given-names></name> <name><surname>Miranda-Garcia</surname> <given-names>O</given-names></name> <name><surname>Sasaki</surname> <given-names>G</given-names></name> <name><surname>Wang</surname> <given-names>J</given-names></name> <name><surname>Shay</surname> <given-names>NF</given-names></name></person-group>. <article-title>Genistein and daidzein decrease food intake and body weight gain in mice, and alter LXR signaling <italic>in vivo</italic> and <italic>in vitro</italic></article-title>. <source>Food Funct.</source> (<year>2018</year>) <volume>9</volume>:<fpage>6257</fpage>&#x02013;<lpage>67</lpage>. <pub-id pub-id-type="doi">10.1039/C8FO01718B</pub-id><pub-id pub-id-type="pmid">30402623</pub-id></citation></ref>
<ref id="B24">
<label>24.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Poudel</surname> <given-names>B</given-names></name> <name><surname>Nepali</surname> <given-names>S</given-names></name> <name><surname>Xin</surname> <given-names>M</given-names></name> <name><surname>Ki</surname> <given-names>HH</given-names></name> <name><surname>Kim</surname> <given-names>YH</given-names></name> <name><surname>Kim</surname> <given-names>DK</given-names></name> <etal/></person-group>. <article-title>Flavonoids from Triticum aestivum inhibit adipogenesis in 3T3-L1 cells by upregulating the insig pathway</article-title>. <source>Mol Med Rep.</source> (<year>2015</year>) <volume>12</volume>:<fpage>3139</fpage>&#x02013;<lpage>45</lpage>. <pub-id pub-id-type="doi">10.3892/mmr.2015.3700</pub-id><pub-id pub-id-type="pmid">25936595</pub-id></citation></ref>
<ref id="B25">
<label>25.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Shen</surname> <given-names>N</given-names></name> <name><surname>Wang</surname> <given-names>T</given-names></name> <name><surname>Gan</surname> <given-names>Q</given-names></name> <name><surname>Liu</surname> <given-names>S</given-names></name> <name><surname>Wang</surname> <given-names>L</given-names></name> <name><surname>Jin</surname> <given-names>B</given-names></name></person-group>. <article-title>Plant flavonoids: Classification, distribution, biosynthesis, and antioxidant activity</article-title>. <source>Food Chem.</source> (<year>2022</year>) <volume>383</volume>:<fpage>132531</fpage>. <pub-id pub-id-type="doi">10.1016/j.foodchem.2022.132531</pub-id><pub-id pub-id-type="pmid">35413752</pub-id></citation></ref>
<ref id="B26">
<label>26.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Fuhrman</surname> <given-names>B</given-names></name> <name><surname>Aviram</surname> <given-names>M</given-names></name></person-group>. <article-title>Flavonoids protect LDL from oxidation and attenuate atherosclerosis</article-title>. <source>Curr Opin Lipidol.</source> (<year>2001</year>) <volume>12</volume>:<fpage>41</fpage>&#x02013;<lpage>8</lpage>. <pub-id pub-id-type="doi">10.1097/00041433-200102000-00008</pub-id><pub-id pub-id-type="pmid">11176202</pub-id></citation></ref>
<ref id="B27">
<label>27.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Hollands</surname> <given-names>WJ</given-names></name> <name><surname>Tapp</surname> <given-names>H</given-names></name> <name><surname>Defernez</surname> <given-names>M</given-names></name> <name><surname>Perez Moral</surname> <given-names>N</given-names></name> <name><surname>Winterbone</surname> <given-names>MS</given-names></name> <name><surname>Philo</surname> <given-names>M</given-names></name> <etal/></person-group>. <article-title>Lack of acute or chronic effects of epicatechin-rich and procyanidin-rich apple extracts on blood pressure and cardiometabolic biomarkers in adults with moderately elevated blood pressure: a randomized, placebo-controlled crossover trial</article-title>. <source>Am J Clin Nutr.</source> (<year>2018</year>) <volume>108</volume>:<fpage>1006</fpage>&#x02013;<lpage>14</lpage>. <pub-id pub-id-type="doi">10.1093/ajcn/nqy139</pub-id><pub-id pub-id-type="pmid">30475960</pub-id></citation></ref>
<ref id="B28">
<label>28.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Williamson</surname> <given-names>G</given-names></name></person-group>. <article-title>The role of polyphenols in modern nutrition</article-title>. <source>Nutr Bull.</source> (<year>2017</year>) <volume>42</volume>:<fpage>226</fpage>&#x02013;<lpage>35</lpage>. <pub-id pub-id-type="doi">10.1111/nbu.12278</pub-id><pub-id pub-id-type="pmid">28983192</pub-id></citation></ref>
<ref id="B29">
<label>29.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Hejazi</surname> <given-names>J</given-names></name> <name><surname>Hosseinpour-Niazi</surname> <given-names>S</given-names></name> <name><surname>Yuzbashian</surname> <given-names>E</given-names></name> <name><surname>Mirmiran</surname> <given-names>P</given-names></name> <name><surname>Azizi</surname> <given-names>F</given-names></name></person-group>. <article-title>The protective effects of dietary intake of flavonoids and its subclasses on metabolic syndrome incidence</article-title>. <source>Int J Food Sci Nutr.</source> (<year>2022</year>) <volume>73</volume>:<fpage>116</fpage>&#x02013;<lpage>26</lpage>. <pub-id pub-id-type="doi">10.1080/09637486.2021.1928008</pub-id><pub-id pub-id-type="pmid">34096437</pub-id></citation></ref>
<ref id="B30">
<label>30.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Johnson</surname> <given-names>CL</given-names></name> <name><surname>Dohrmann</surname> <given-names>SM</given-names></name> <name><surname>Burt</surname> <given-names>VL</given-names></name> <name><surname>Mohadjer</surname> <given-names>LK</given-names></name></person-group>. <article-title>National health and nutrition examination survey: sample design, 2011-2014</article-title>. <source>Vital Health Stat.</source> (<year>2014</year>) <volume>162</volume>:<fpage>1</fpage>&#x02013;<lpage>33</lpage>.<pub-id pub-id-type="pmid">25569458</pub-id></citation></ref>
<ref id="B31">
<label>31.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Tong</surname> <given-names>J</given-names></name> <name><surname>Zeng</surname> <given-names>Y</given-names></name> <name><surname>Xie</surname> <given-names>J</given-names></name> <name><surname>Xiao</surname> <given-names>K</given-names></name> <name><surname>Li</surname> <given-names>M</given-names></name> <name><surname>Cong</surname> <given-names>L</given-names></name></person-group>. <article-title>Association between flavonoid and subclasses intake and metabolic associated fatty liver disease in U</article-title>.S. adults: Results from National Health and Nutrition Examination Survey 2017-2018. <source>Front Nutr.</source> (<year>2022</year>) <volume>9</volume>:<fpage>1074494</fpage>. <pub-id pub-id-type="doi">10.3389/fnut.2022.1074494</pub-id><pub-id pub-id-type="pmid">36532560</pub-id></citation></ref>
<ref id="B32">
<label>32.</label>
<citation citation-type="web"><person-group person-group-type="author"><collab>Group UFSR</collab></person-group>. <source>FNDDS Documentation Databases.</source> (<year>2023</year>). Available online at: <ext-link ext-link-type="uri" xlink:href="https://www.ars.usda.gov/northeast-area/beltsville-md-bhnrc/beltsville-human-nutrition-research-center/food-surveys-research-group/docs/fndds-flavonoid-database/">https://www.ars.usda.gov/northeast-area/beltsville-md-bhnrc/beltsville-human-nutrition-research-center/food-surveys-research-group/docs/fndds-flavonoid-database/</ext-link> (accessed January 6, 2023).</citation>
</ref>
<ref id="B33">
<label>33.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Alberti</surname> <given-names>KG</given-names></name> <name><surname>Zimmet</surname> <given-names>P</given-names></name> <name><surname>Shaw</surname> <given-names>J</given-names></name></person-group>. <article-title>The metabolic syndrome&#x02013;a new worldwide definition</article-title>. <source>Lancet.</source> (<year>2005</year>) <volume>366</volume>:<fpage>1059</fpage>&#x02013;<lpage>1062</lpage>. <pub-id pub-id-type="doi">10.1016/S0140-6736(05)67402-8</pub-id><pub-id pub-id-type="pmid">16182882</pub-id></citation></ref>
<ref id="B34">
<label>34.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Grundy</surname> <given-names>SM</given-names></name> <name><surname>Cleeman</surname> <given-names>JI</given-names></name> <name><surname>Daniels</surname> <given-names>SR</given-names></name> <name><surname>Donato</surname> <given-names>KA</given-names></name> <name><surname>Eckel</surname> <given-names>RH</given-names></name> <name><surname>Franklin</surname> <given-names>BA</given-names></name> <etal/></person-group>. <article-title>Diagnosis and management of the metabolic syndrome: an American Heart Association/National Heart, Lung, and Blood Institute Scientific Statement</article-title>. <source>Circulation.</source> (<year>2005</year>) <volume>112</volume>:<fpage>2735</fpage>&#x02013;<lpage>52</lpage>. <pub-id pub-id-type="doi">10.1161/CIRCULATIONAHA.105.169404</pub-id><pub-id pub-id-type="pmid">16157765</pub-id></citation></ref>
<ref id="B35">
<label>35.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Jin</surname> <given-names>R</given-names></name> <name><surname>Zhu</surname> <given-names>X</given-names></name> <name><surname>Shrubsole</surname> <given-names>MJ</given-names></name> <name><surname>Yu</surname> <given-names>C</given-names></name> <name><surname>Xia</surname> <given-names>Z</given-names></name> <name><surname>Dai</surname> <given-names>Q</given-names></name></person-group>. <article-title>Associations of renal function with urinary excretion of metals: Evidence from NHANES 2003-2012</article-title>. <source>Environ Int.</source> (<year>2018</year>) <volume>121</volume>:<fpage>1355</fpage>&#x02013;<lpage>62</lpage>. <pub-id pub-id-type="doi">10.1016/j.envint.2018.11.002</pub-id><pub-id pub-id-type="pmid">30442456</pub-id></citation></ref>
<ref id="B36">
<label>36.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Wang</surname> <given-names>S</given-names></name> <name><surname>Du</surname> <given-names>Q</given-names></name> <name><surname>Meng</surname> <given-names>X</given-names></name> <name><surname>Zhang</surname> <given-names>Y</given-names></name></person-group>. <article-title>Natural polyphenols: a potential prevention and treatment strategy for metabolic syndrome</article-title>. <source>Food Funct.</source> (<year>2022</year>) <volume>13</volume>:<fpage>9734</fpage>&#x02013;<lpage>53</lpage>. <pub-id pub-id-type="doi">10.1039/D2FO01552H</pub-id><pub-id pub-id-type="pmid">36134531</pub-id></citation></ref>
<ref id="B37">
<label>37.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Grosso</surname> <given-names>G</given-names></name> <name><surname>Stepaniak</surname> <given-names>U</given-names></name> <name><surname>Micek</surname> <given-names>A</given-names></name> <name><surname>Stefler</surname> <given-names>D</given-names></name> <name><surname>Bobak</surname> <given-names>M</given-names></name> <name><surname>Pajak</surname> <given-names>A</given-names></name></person-group>. <article-title>Dietary polyphenols are inversely associated with metabolic syndrome in Polish adults of the HAPIEE study</article-title>. <source>Eur J Nutr.</source> (<year>2017</year>) <volume>56</volume>:<fpage>1409</fpage>&#x02013;<lpage>20</lpage>. <pub-id pub-id-type="doi">10.1007/s00394-016-1187-z</pub-id><pub-id pub-id-type="pmid">26913852</pub-id></citation></ref>
<ref id="B38">
<label>38.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Sohrab</surname> <given-names>G</given-names></name> <name><surname>Hosseinpour-Niazi</surname> <given-names>S</given-names></name> <name><surname>Hejazi</surname> <given-names>J</given-names></name> <name><surname>Yuzbashian</surname> <given-names>E</given-names></name> <name><surname>Mirmiran</surname> <given-names>P</given-names></name> <name><surname>Azizi</surname> <given-names>F</given-names></name></person-group>. <article-title>Dietary polyphenols and metabolic syndrome among Iranian adults</article-title>. <source>Int J Food Sci Nutr.</source> (<year>2013</year>) <volume>64</volume>:<fpage>661</fpage>&#x02013;<lpage>7</lpage>. <pub-id pub-id-type="doi">10.3109/09637486.2013.787397</pub-id><pub-id pub-id-type="pmid">23607642</pub-id></citation></ref>
<ref id="B39">
<label>39.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Wedick</surname> <given-names>NM</given-names></name> <name><surname>Pan</surname> <given-names>A</given-names></name> <name><surname>Cassidy</surname> <given-names>A</given-names></name> <name><surname>Rimm</surname> <given-names>EB</given-names></name> <name><surname>Sampson</surname> <given-names>L</given-names></name> <name><surname>Rosner</surname> <given-names>B</given-names></name> <etal/></person-group>. <article-title>Dietary flavonoid intakes and risk of type 2 diabetes in US men and women</article-title>. <source>Am J Clin Nutr.</source> (<year>2012</year>) <volume>95</volume>:<fpage>925</fpage>&#x02013;<lpage>33</lpage>. <pub-id pub-id-type="doi">10.3945/ajcn.111.028894</pub-id><pub-id pub-id-type="pmid">22357723</pub-id></citation></ref>
<ref id="B40">
<label>40.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Bondonno</surname> <given-names>NP</given-names></name> <name><surname>Murray</surname> <given-names>K</given-names></name> <name><surname>Bondonno</surname> <given-names>CP</given-names></name> <name><surname>Lewis</surname> <given-names>JR</given-names></name> <name><surname>Croft</surname> <given-names>KD</given-names></name> <name><surname>Kyro</surname> <given-names>C</given-names></name> <etal/></person-group>. <article-title>Flavonoid intake and its association with atrial fibrillation</article-title>. <source>Clin Nutr.</source> (<year>2020</year>) <volume>39</volume>:<fpage>3821</fpage>&#x02013;<lpage>8</lpage>. <pub-id pub-id-type="doi">10.1016/j.clnu.2020.04.025</pub-id><pub-id pub-id-type="pmid">32386860</pub-id></citation></ref>
<ref id="B41">
<label>41.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Yeh</surname> <given-names>TS</given-names></name> <name><surname>Yuan</surname> <given-names>C</given-names></name> <name><surname>Ascherio</surname> <given-names>A</given-names></name> <name><surname>Rosner</surname> <given-names>BA</given-names></name> <name><surname>Willett</surname> <given-names>WC</given-names></name> <name><surname>Blacker</surname> <given-names>D</given-names></name></person-group>. <article-title>Long-term dietary flavonoid intake and subjective cognitive decline in US Men and women</article-title>. <source>Neurology.</source> (<year>2021</year>) <volume>97</volume>:<fpage>e1041</fpage>&#x02013;<lpage>56</lpage>. <pub-id pub-id-type="doi">10.1212/WNL.0000000000012454</pub-id><pub-id pub-id-type="pmid">34635564</pub-id></citation></ref>
<ref id="B42">
<label>42.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Palmer</surname> <given-names>MK</given-names></name> <name><surname>Toth</surname> <given-names>PP</given-names></name></person-group>. <article-title>Trends in lipids, obesity, metabolic syndrome, and diabetes mellitus in the United States: An NHANES analysis (2003-2004 to 2013-2014)</article-title>. <source>Obesity.</source> (<year>2019</year>) <volume>27</volume>:<fpage>309</fpage>&#x02013;<lpage>14</lpage>. <pub-id pub-id-type="doi">10.1002/oby.22370</pub-id><pub-id pub-id-type="pmid">30677260</pub-id></citation></ref>
<ref id="B43">
<label>43.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Krga</surname> <given-names>I</given-names></name> <name><surname>Milenkovic</surname> <given-names>D</given-names></name></person-group>. <article-title>Anthocyanins: from sources and bioavailability to cardiovascular-health benefits and molecular mechanisms of action</article-title>. <source>J Agric Food Chem.</source> (<year>2019</year>) <volume>67</volume>:<fpage>1771</fpage>&#x02013;<lpage>83</lpage>. <pub-id pub-id-type="doi">10.1021/acs.jafc.8b06737</pub-id><pub-id pub-id-type="pmid">30698008</pub-id></citation></ref>
<ref id="B44">
<label>44.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Salazar</surname> <given-names>HM</given-names></name> <name><surname>de Deus Mendon&#x000E7;a</surname> <given-names>R</given-names></name> <name><surname>Laclaustra</surname> <given-names>M</given-names></name> <name><surname>Moreno-Franco</surname> <given-names>B</given-names></name> <name><surname>&#x000C5;kesson</surname> <given-names>A</given-names></name> <name><surname>Guallar-Castill&#x000F3;n</surname> <given-names>P</given-names></name> <etal/></person-group>. <article-title>The intake of flavonoids, stilbenes, and tyrosols, mainly consumed through red wine and virgin olive oil, is associated with lower carotid and femoral subclinical atherosclerosis and coronary calcium</article-title>. <source>Eur J Nutr.</source> (<year>2022</year>) <volume>61</volume>:<fpage>2697</fpage>&#x02013;<lpage>709</lpage>. <pub-id pub-id-type="doi">10.1007/s00394-022-02823-0</pub-id><pub-id pub-id-type="pmid">35821531</pub-id></citation></ref>
<ref id="B45">
<label>45.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Sebastian</surname> <given-names>RS</given-names></name> <name><surname>Wilkinson Enns</surname> <given-names>C</given-names></name> <name><surname>Goldman</surname> <given-names>JD</given-names></name> <name><surname>Martin</surname> <given-names>CL</given-names></name> <name><surname>Steinfeldt</surname> <given-names>LC</given-names></name> <name><surname>Murayi</surname> <given-names>T</given-names></name> <etal/></person-group>. <article-title>New database facilitates characterization of flavonoid intake, sources, and positive associations with diet quality among US adults</article-title>. <source>J Nutr.</source> (<year>2015</year>) <volume>145</volume>:<fpage>1239</fpage>&#x02013;<lpage>48</lpage>. <pub-id pub-id-type="doi">10.3945/jn.115.213025</pub-id><pub-id pub-id-type="pmid">25948787</pub-id></citation></ref>
<ref id="B46">
<label>46.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Carnauba</surname> <given-names>RA</given-names></name> <name><surname>Sarti</surname> <given-names>FM</given-names></name> <name><surname>Hassimotto</surname> <given-names>NMA</given-names></name> <name><surname>Lajolo</surname> <given-names>FM</given-names></name></person-group>. <article-title>Estimated polyphenol intake and major food sources of the Brazilian population: changes between 2008-2009 and 2017-2018</article-title>. <source>Br J Nutr.</source> (<year>2022</year>) <volume>130</volume>:<fpage>147</fpage>&#x02013;<lpage>154</lpage>. <pub-id pub-id-type="doi">10.1017/S0007114522003221</pub-id><pub-id pub-id-type="pmid">36204997</pub-id></citation></ref>
<ref id="B47">
<label>47.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Vieux</surname> <given-names>F</given-names></name> <name><surname>Maillot</surname> <given-names>M</given-names></name> <name><surname>Rehm</surname> <given-names>CD</given-names></name> <name><surname>Drewnowski</surname> <given-names>A</given-names></name></person-group>. <article-title>Flavonoid intakes in the US diet are linked to higher socioeconomic status and to tea consumption: analyses of NHANES 2011-16 Data</article-title>. <source>J Nutr.</source> (<year>2020</year>) <volume>150</volume>:<fpage>2147</fpage>&#x02013;<lpage>55</lpage>. <pub-id pub-id-type="doi">10.1093/jn/nxaa145</pub-id><pub-id pub-id-type="pmid">32470977</pub-id></citation></ref>
<ref id="B48">
<label>48.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Rizza</surname> <given-names>S</given-names></name> <name><surname>Muniyappa</surname> <given-names>R</given-names></name> <name><surname>Iantorno</surname> <given-names>M</given-names></name> <name><surname>Kim</surname> <given-names>JA</given-names></name> <name><surname>Chen</surname> <given-names>H</given-names></name> <name><surname>Pullikotil</surname> <given-names>P</given-names></name> <etal/></person-group>. <article-title>Citrus polyphenol hesperidin stimulates production of nitric oxide in endothelial cells while improving endothelial function and reducing inflammatory markers in patients with metabolic syndrome</article-title>. <source>J Clin Endocrinol Metab.</source> (<year>2011</year>) <volume>96</volume>:<fpage>E782</fpage>&#x02013;<lpage>792</lpage>. <pub-id pub-id-type="doi">10.1210/jc.2010-2879</pub-id><pub-id pub-id-type="pmid">21346065</pub-id></citation></ref>
<ref id="B49">
<label>49.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Schewe</surname> <given-names>T</given-names></name> <name><surname>Steffen</surname> <given-names>Y</given-names></name> <name><surname>Sies</surname> <given-names>H</given-names></name></person-group>. <article-title>How do dietary flavanols improve vascular function? A position paper</article-title>. <source>Arch Biochem Biophys.</source> (<year>2008</year>) <volume>476</volume>:<fpage>102</fpage>&#x02013;<lpage>6</lpage>. <pub-id pub-id-type="doi">10.1016/j.abb.2008.03.004</pub-id><pub-id pub-id-type="pmid">18358827</pub-id></citation></ref>
<ref id="B50">
<label>50.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Cho</surname> <given-names>KW</given-names></name> <name><surname>Kim</surname> <given-names>YO</given-names></name> <name><surname>Andrade</surname> <given-names>JE</given-names></name> <name><surname>Burgess</surname> <given-names>JR</given-names></name> <name><surname>Kim</surname> <given-names>YC</given-names></name></person-group>. <article-title>Dietary naringenin increases hepatic peroxisome proliferators-activated receptor &#x003B1; protein expression and decreases plasma triglyceride and adiposity in rats</article-title>. <source>Eur J Nutr.</source> (<year>2011</year>) <volume>50</volume>:<fpage>81</fpage>&#x02013;<lpage>8</lpage>. <pub-id pub-id-type="doi">10.1007/s00394-010-0117-8</pub-id><pub-id pub-id-type="pmid">20567977</pub-id></citation></ref>
<ref id="B51">
<label>51.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Hashimoto</surname> <given-names>T</given-names></name> <name><surname>Ide</surname> <given-names>T</given-names></name></person-group>. <article-title>Activity and mRNA Levels of Enzymes Involved in Hepatic Fatty Acid Synthesis in Rats Fed Naringenin</article-title>. <source>J Agric Food Chem.</source> (<year>2015</year>) <volume>63</volume>:<fpage>9536</fpage>&#x02013;<lpage>42</lpage>. <pub-id pub-id-type="doi">10.1021/acs.jafc.5b03734</pub-id><pub-id pub-id-type="pmid">26466635</pub-id></citation></ref>
<ref id="B52">
<label>52.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Goldwasser</surname> <given-names>J</given-names></name> <name><surname>Cohen</surname> <given-names>PY</given-names></name> <name><surname>Yang</surname> <given-names>E</given-names></name> <name><surname>Balaguer</surname> <given-names>P</given-names></name> <name><surname>Yarmush</surname> <given-names>ML</given-names></name> <name><surname>Nahmias</surname> <given-names>Y</given-names></name></person-group>. <article-title>Transcriptional regulation of human and rat hepatic lipid metabolism by the grapefruit flavonoid naringenin: role of PPARalpha, PPARgamma and LXRalpha</article-title>. <source>PLoS ONE.</source> (<year>2010</year>) <volume>5</volume>:<fpage>e12399</fpage>. <pub-id pub-id-type="doi">10.1371/journal.pone.0012399</pub-id><pub-id pub-id-type="pmid">20811644</pub-id></citation></ref>
<ref id="B53">
<label>53.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Liu</surname> <given-names>L</given-names></name> <name><surname>Shan</surname> <given-names>S</given-names></name> <name><surname>Zhang</surname> <given-names>K</given-names></name> <name><surname>Ning</surname> <given-names>ZQ</given-names></name> <name><surname>Lu</surname> <given-names>XP</given-names></name> <name><surname>Cheng</surname> <given-names>YY</given-names></name></person-group>. <article-title>Naringenin and hesperetin, two flavonoids derived from Citrus aurantium up-regulate transcription of adiponectin</article-title>. <source>Phytother Res.</source> (<year>2008</year>) <volume>22</volume>:<fpage>1400</fpage>&#x02013;<lpage>3</lpage>. <pub-id pub-id-type="doi">10.1002/ptr.2504</pub-id><pub-id pub-id-type="pmid">18690615</pub-id></citation></ref>
<ref id="B54">
<label>54.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Pinho-Ribeiro</surname> <given-names>FA</given-names></name> <name><surname>Zarpelon</surname> <given-names>AC</given-names></name> <name><surname>Mizokami</surname> <given-names>SS</given-names></name> <name><surname>Borghi</surname> <given-names>SM</given-names></name> <name><surname>Bordignon</surname> <given-names>J</given-names></name> <name><surname>Silva</surname> <given-names>RL</given-names></name> <etal/></person-group>. <article-title>The citrus flavonone naringenin reduces lipopolysaccharide-induced inflammatory pain and leukocyte recruitment by inhibiting NF-&#x003BA;B activation</article-title>. <source>J Nutr Biochem.</source> (<year>2016</year>) <volume>33</volume>:<fpage>8</fpage>&#x02013;<lpage>14</lpage>. <pub-id pub-id-type="doi">10.1016/j.jnutbio.2016.03.013</pub-id><pub-id pub-id-type="pmid">27260463</pub-id></citation></ref>
<ref id="B55">
<label>55.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Choi</surname> <given-names>YR</given-names></name> <name><surname>Shim</surname> <given-names>J</given-names></name> <name><surname>Kim</surname> <given-names>MJ</given-names></name></person-group>. <article-title>Genistin: a novel potent anti-adipogenic and anti-lipogenic agent</article-title>. <source>Molecules.</source> (<year>2020</year>) <volume>25</volume>:<fpage>2042</fpage>. <pub-id pub-id-type="doi">10.3390/molecules25092042</pub-id><pub-id pub-id-type="pmid">32349444</pub-id></citation></ref>
<ref id="B56">
<label>56.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Gan</surname> <given-names>M</given-names></name> <name><surname>Shen</surname> <given-names>L</given-names></name> <name><surname>Wang</surname> <given-names>S</given-names></name> <name><surname>Guo</surname> <given-names>Z</given-names></name> <name><surname>Zheng</surname> <given-names>T</given-names></name> <name><surname>Tan</surname> <given-names>Y</given-names></name> <etal/></person-group>. <article-title>Genistein inhibits high fat diet-induced obesity through miR-222 by targeting BTG2 and adipor1</article-title>. <source>Food Funct.</source> (<year>2020</year>) <volume>11</volume>:<fpage>2418</fpage>&#x02013;<lpage>26</lpage>. <pub-id pub-id-type="doi">10.1039/C9FO00861F</pub-id><pub-id pub-id-type="pmid">32129363</pub-id></citation></ref>
<ref id="B57">
<label>57.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Hou</surname> <given-names>N</given-names></name> <name><surname>Huang</surname> <given-names>Y</given-names></name> <name><surname>Cai</surname> <given-names>SA</given-names></name> <name><surname>Yuan WC Li</surname> <given-names>LR</given-names></name> <name><surname>Liu</surname> <given-names>XW</given-names></name> <name><surname>Zhao</surname> <given-names>GJ</given-names></name> <etal/></person-group>. <article-title>Puerarin ameliorated pressure overload-induced cardiac hypertrophy in ovariectomized rats through activation of the PPAR&#x003B1;/PGC-1 pathway</article-title>. <source>Acta Pharmacol Sin.</source> (<year>2021</year>) <volume>42</volume>:<fpage>55</fpage>&#x02013;<lpage>67</lpage>. <pub-id pub-id-type="doi">10.1038/s41401-020-0401-y</pub-id><pub-id pub-id-type="pmid">32504066</pub-id></citation></ref>
<ref id="B58">
<label>58.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Chaplin</surname> <given-names>A</given-names></name> <name><surname>Carp&#x000E9;n&#x000E9;</surname> <given-names>C</given-names></name> <name><surname>Mercader</surname> <given-names>J</given-names></name></person-group>. <article-title>Resveratrol, metabolic syndrome, and gut microbiota</article-title>. <source>Nutrients.</source> (<year>2018</year>) <volume>10</volume>:<fpage>1651</fpage>. <pub-id pub-id-type="doi">10.3390/nu10111651</pub-id><pub-id pub-id-type="pmid">30400297</pub-id></citation></ref>
<ref id="B59">
<label>59.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Zhao</surname> <given-names>Z</given-names></name> <name><surname>Xue</surname> <given-names>F</given-names></name> <name><surname>Gu</surname> <given-names>Y</given-names></name> <name><surname>Han</surname> <given-names>J</given-names></name> <name><surname>Jia</surname> <given-names>Y</given-names></name> <name><surname>Ye</surname> <given-names>K</given-names></name> <etal/></person-group>. <article-title>Crosstalk between the muscular estrogen receptor &#x003B1; and BDNF/TrkB signaling alleviates metabolic syndrome via 7,8-dihydroxyflavone in female mice</article-title>. <source>Mol Metab.</source> (<year>2021</year>) <volume>45</volume>:<fpage>101149</fpage>. <pub-id pub-id-type="doi">10.1016/j.molmet.2020.101149</pub-id><pub-id pub-id-type="pmid">33352311</pub-id></citation></ref>
<ref id="B60">
<label>60.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Chun</surname> <given-names>OK</given-names></name> <name><surname>Chung</surname> <given-names>SJ</given-names></name> <name><surname>Song</surname> <given-names>WO</given-names></name></person-group>. <article-title>Estimated dietary flavonoid intake and major food sources of US adults</article-title>. <source>J Nutr.</source> (<year>2007</year>) <volume>137</volume>:<fpage>1244</fpage>&#x02013;<lpage>52</lpage>. <pub-id pub-id-type="doi">10.1093/jn/137.5.1244</pub-id><pub-id pub-id-type="pmid">17449588</pub-id></citation></ref>
</ref-list> 
</back>
</article> 