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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.2023.1107637</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>Association between dietary intake of anthocyanidins and heart failure among American adults: NHANES (2007&#x2013;2010 and 2017&#x2013;2018)</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Tao</surname>
<given-names>Zaixiao</given-names>
</name>
<xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
<xref rid="aff2" ref-type="aff"><sup>2</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/2046447/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhang</surname>
<given-names>Rui</given-names>
</name>
<xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
<xref rid="aff2" ref-type="aff"><sup>2</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/777911/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zuo</surname>
<given-names>Wenjie</given-names>
</name>
<xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
<xref rid="aff2" ref-type="aff"><sup>2</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1289853/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Ji</surname>
<given-names>Zhenjun</given-names>
</name>
<xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
<xref rid="aff2" ref-type="aff"><sup>2</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1330576/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Fan</surname>
<given-names>Zhongguo</given-names>
</name>
<xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
<xref rid="aff2" ref-type="aff"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Chen</surname>
<given-names>Xi</given-names>
</name>
<xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
<xref rid="aff2" ref-type="aff"><sup>2</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1902744/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Huang</surname>
<given-names>Rong</given-names>
</name>
<xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
<xref rid="aff2" ref-type="aff"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Li</surname>
<given-names>Xinxin</given-names>
</name>
<xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
<xref rid="aff2" ref-type="aff"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Ma</surname>
<given-names>Genshan</given-names>
</name>
<xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
<xref rid="aff2" ref-type="aff"><sup>2</sup></xref>
<xref rid="c001" ref-type="corresp"><sup>&#x002A;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1398105/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Department of Cardiology, Zhongda Hospital, School of Medicine, Southeast University</institution>, <addr-line>Nanjing</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>School of Medicine, Southeast University</institution>, <addr-line>Nanjing</addr-line>, <country>China</country></aff>
<author-notes>
<fn id="fn0001" fn-type="edited-by"><p>Edited by: Zhenjun Zhu, Jinan University, China</p></fn>
<fn id="fn0002" fn-type="edited-by"><p>Reviewed by: Mehran Rahimlou, Zanjan University of Medical Sciences, Iran; Sergio Perez-Burillo, Public University of Navarre, Spain; Karla Dami&#x00E1;n-Medina, University of California, Davis, United States</p></fn>
<corresp id="c001">&#x002A;Correspondence: Genshan Ma, <email>magenshan@hotmail.com</email></corresp>
<fn id="fn0003" fn-type="other"><p>This article was submitted to Clinical Nutrition, a section of the journal Frontiers in Nutrition</p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>05</day>
<month>04</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>10</volume>
<elocation-id>1107637</elocation-id>
<history>
<date date-type="received">
<day>25</day>
<month>11</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>14</day>
<month>03</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2023 Tao, Zhang, Zuo, Ji, Fan, Chen, Huang, Li and Ma.</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Tao, Zhang, Zuo, Ji, Fan, Chen, Huang, Li and Ma</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>Despite anthocyanidins have anti-inflammatory and antioxidant properties, no studies have researched association between dietary intake of anthocyanidins and heart failure.</p>
</sec>
<sec>
<title>Methods</title>
<p>We enrolled 15,869 participants from the National Health and Nutrition Examination Survey (NHANES) (2007&#x2013;2010 and 2017&#x2013;2018) in this cross-sectional study. We examined baseline data and prevalence of heart failure in different quartile groups of anthocyanin intake (Q1-4). Three models were established through logistic regression to evaluate the protective effect of Q4 (highest anthocyanidins intake) on heart failure. The protective effect of high anthocyanidins intake on heart failure was further evaluated in different subgroups.</p>
</sec>
<sec>
<title>Results</title>
<p>Participants with the highest anthocyanidins intake (Q4) had the lowest prevalence of heart failure (Q1:2.54%, Q2:2.33%, Q3:2.43%, Q4:1.57%, <italic>p</italic> =&#x2009;0.02). After adjusting for possible confounding factors, compared with the Q1 group, the highest anthocyanidins intake (Q4) was independently related to lower presence of heart failure (Q4: OR 0.469, 95%CI [0.289, 0.732], <italic>p</italic> =&#x2009;0.003). And this association was still stable in subgroups of female, &#x2265;45&#x2009;years, smoker, non-Hispanic White or without diabetes, stroke and renal failure.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>Dietary intake of anthocyanidins had negative association with the presence of heart failure.</p>
</sec>
</abstract>
<kwd-group>
<kwd>anthocyanidins</kwd>
<kwd>heart failure</kwd>
<kwd>flavonoids</kwd>
<kwd>cardiovascular disease</kwd>
<kwd>NHANES</kwd>
</kwd-group>
<counts>
<fig-count count="3"/>
<table-count count="3"/>
<equation-count count="0"/>
<ref-count count="48"/>
<page-count count="8"/>
<word-count count="5575"/>
</counts>
</article-meta>
</front>
<body>
<sec id="sec5" sec-type="intro">
<title>Introduction</title>
<p>Heart failure (HF) is the terminal manifestation of cardiovascular disease (<xref ref-type="bibr" rid="ref1">1</xref>). In recent years, the prevalence of HF has gradually increased, and its mortality and disability rate have also increased. The number of people with HF worldwide is predicted to be close to 64.3 million (<xref ref-type="bibr" rid="ref2">2</xref>). Despite continuous progress in the treatment of HF, due to frequent hospital stays and ongoing treatment, patients with HF have severe everyday limits and bear a heavy financial burden (<xref ref-type="bibr" rid="ref3">3</xref>). Moreover, 50% of people with HF with a decreased ejection fraction pass away within 5&#x2009;years after being diagnosed (<xref ref-type="bibr" rid="ref4">4</xref>). Thus, it is essential to inhibit the occurrence and development of HF.</p>
<p>With a focus on diet, people have realized that traditional western diet, such as red meat, high sugar food and fried food, are harmful to heart health (<xref ref-type="bibr" rid="ref5">5</xref>), while omega-3 fatty acids (<xref ref-type="bibr" rid="ref6">6</xref>), polyphenolic and flavonoids (<xref ref-type="bibr" rid="ref7">7</xref>), as well as other micronutrients that are abundant in Indo-Mediterranean diets (<xref ref-type="bibr" rid="ref8">8</xref>), may all play a protective role in maintaining the heart health. Anthocyanidins are one of the six major categories of flavonoids, and the anthocyanidins consumed in diet are mainly provided by fruits such as berries (<xref ref-type="bibr" rid="ref9">9</xref>). Anthocyanidins have powerful anti-inflammatory and antioxidant properties, making them useful in the prevention of a variety of chronic diseases, such as eye and kidney complications and many cancer types (<xref ref-type="bibr" rid="ref10">10</xref>&#x2013;<xref ref-type="bibr" rid="ref13">13</xref>). An increasing number of evidences show that anthocyanidins is related to circulatory disease, and have shown significant lipid-lowering effects in many studies (<xref ref-type="bibr" rid="ref14">14</xref>, <xref ref-type="bibr" rid="ref15">15</xref>). Anthocyanidins also have positive effects on endothelial function and have antiatherogenic and anti-arterial stiffness properties (<xref ref-type="bibr" rid="ref16">16</xref>). According to the meta-analysis, dietary anthocyanidins intake was linked to a lower risk of coronary heart disease and a lower mortality of cardiovascular diseases (<xref ref-type="bibr" rid="ref17">17</xref>). Moreover, the link between anthocyanidins and cardiovascular diseases has been verified by numerous experimental research. Such as, anthocyanidins played a chemo-preventive role in atherosclerosis <italic>via</italic> activation of Nrf2-ARE pathway (<xref ref-type="bibr" rid="ref18">18</xref>); through suppression of the ROS-JNK-Bcl-2 pathway, anthocyanidins reduces myocardial ischemia-induced damage (<xref ref-type="bibr" rid="ref19">19</xref>).</p>
<p>However, the protective effect of anthocyanidins on HF has not been reported. Therefore, the purpose of this study was to assess the impact of dietary anthocyanidins on HF in the general American population.</p>
</sec>
<sec id="sec6" sec-type="materials|methods">
<title>Materials and methods</title>
<sec id="sec7">
<title>Study population</title>
<p>The National Health and Nutrition Examination Survey (NHANES) is a series of surveys designed on the basis of cross-sections to investigate the health status of all U.S. populations, which conducted by National Center for Health Statistics (NCHS). The survey included demographic information, dietary information, various physical examination indicators and health related data. All information and survey methods are available online.<xref rid="fn0004" ref-type="fn"><sup>1</sup></xref> The NCHS Research Ethics Review Board authorized the research protocols and each participant signed a written statement of informed consent. Since only three NHANES circles (2007&#x2013;2008, 2009&#x2013;2010 and 2017&#x2013;2018) investigated the dietary intake of flavonoids, this study included an investigation of those three NHANES circles. Exclusion criteria included: age &#x003C;18&#x2009;years; missing HF status; missing dietary information about flavonoids (<xref rid="fig1" ref-type="fig">Figure 1</xref>).</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption><p><bold>(A)</bold> Flow chart of participants selection; <bold>(B)</bold> flow chart of data analysis.</p></caption>
<graphic xlink:href="fnut-10-1107637-g001.tif"/>
</fig>
</sec>
<sec id="sec8">
<title>Assessment of dietary anthocyanidins intakes</title>
<p>This study mainly collects the intake of flavonoids in foods and beverages, which are usually onions, potatoes, celery, etc. According to the food code from Nutrient Database for Dietary Studies (FNDDS), the food types were refined. Different codes represent different flavonoid contents. Versions of the FNDDS that are suitable for each survey cycle were utilized: version 4.1 was used for 2007&#x2013;2008, while version 5.0 was used for 2009&#x2013;2010 and 2017&#x2013;2018 (<xref ref-type="bibr" rid="ref20">20</xref>). Six of the flavonoid classes (anthocyanidins, flavan-3-ols, flavanones, flavones, flavonols and isoflavones) as well as the total daily intake of all flavonoids (the sum of the 29 individual flavonoids) were calculated from all foods and beverages.</p>
</sec>
<sec id="sec9">
<title>Assessment of HF</title>
<p>Like previous NHANES-based articles that have been published (<xref ref-type="bibr" rid="ref21">21</xref>), participants were asked in the health questionnaires &#x201C;whether a doctor or other health professional has ever told you that you had heart failure&#x201D; and those who responded &#x201C;yes&#x201D; were considered to have HF.</p>
</sec>
<sec id="sec10">
<title>Covariates</title>
<p>NHANES collected demographic data on all participants. Race was divided into four categories, non-Hispanic White, non-Hispanic Black, Mexican American, and others. Smoking was divided into two categories: yes (now, former) and no (never). Diabetes, hypertension and hyperlipidemia were all diagnosed by doctors. The systolic and diastolic blood pressure, body mass index (BMI), and waist measured by experts using conventional physical examination techniques. In a typical laboratory, the level of triglycerides (TG), total cholesterol (TC), high-density cholesterol (HDL), low-density cholesterol (LDL), fasting plasma glucose (FPG), hemoglobin A1c (HbA1c), and creatinine were all measured. We calculated the estimated glomerular filtration rate (eGFR) through the creatinine equation. Information about the specific techniques and quality of the determination of all covariate control methods were accessible from Website of NHANES.</p>
</sec>
<sec id="sec11">
<title>Statistical analysis</title>
<p>For all statistical studies, R Programming Language (version 4.2.1) were used. Statistical significance was determined to two-tailed, <italic>p</italic> &#x003C;&#x2009;0.05. Analysis method was referred to previously NHANES-based articles (<xref ref-type="bibr" rid="ref22">22</xref>). Participants were divided into four groups (Q1-4) according to the quartile of anthocyanidins intake. We adjusted the weights in our analysis to prevent oversampling and lower the non-response rate. Weighted means (95% confidence intervals [CIs]) and weighted percentages (95% CIs) were used to describe continuous variables and categorical variables, respectively. To evaluate differences between groups, the categorical variables used a weighted chi-square test and the continuous variables used a weighted linear regression model. Univariable and multivariable logistic regression models were used to analyze the connections between HF and anthocyanidins consumption in all participants and different subgroups (<xref rid="fig1" ref-type="fig">Figure 1</xref>).</p>
</sec>
</sec>
<sec id="sec12" sec-type="results">
<title>Results</title>
<sec id="sec13">
<title>Baseline characteristics of study population</title>
<p>This study enrolled 15,869 participants which including 513 (3.23%) HF patients (<xref rid="fig1" ref-type="fig">Figure 1</xref>). The average age of all participants was 47.40 (46.81, 47.99) years old, including 48.65% men and 51.35% women. The baseline characteristics are shown based on the dietary anthocyanidins intake quartiles (Q1: 0&#x2009;mg; Q2: [0, 0.73] mg; Q3: [0.73, 6.29] mg and Q4: &#x003E;6.29&#x2009;mg) (<xref rid="tab1" ref-type="table">Table 1</xref>). Compared to the other quartiles, individual who divided in Q4 group were likely to be older, female, non-Hispanic White, receive medications of statin. Regarding the traditional risk factors for cardiovascular disease, the Q4 group had increased levels of HDL cholesterol but lower levels of BMI, waist, triglycerides, and diastolic pressure. Most importantly, the prevalence of HF was lower in the Q4 group (Q1:2.54%, Q2:2.33%, Q3:2.43%, Q4:1.57%, <italic>p</italic> =&#x2009;0.02) (<xref rid="fig2" ref-type="fig">Figure 2</xref>), but there is no significant difference in the prevalence of coronary heart disease, stroke and diabetes.</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption><p>Baseline characteristics of participants.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Variable</th>
<th align="center" valign="top">Total</th>
<th align="center" valign="top">Q1</th>
<th align="center" valign="top">Q2</th>
<th align="center" valign="top">Q3</th>
<th align="center" valign="top">Q4</th>
<th align="center" valign="top"><italic>p</italic> value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Count</td>
<td align="char" valign="top" char=".">15,869 (100.00)</td>
<td align="char" valign="top" char=".">5,598 (35.28)</td>
<td align="char" valign="top" char=".">2,343 (14.76)</td>
<td align="char" valign="top" char=".">3,961 (24.96)</td>
<td align="char" valign="top" char=".">3,967 (25)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Total Anthocyanidins, mg</td>
<td align="char" valign="top" char=".">13.72 (12.41,15.02)</td>
<td align="char" valign="top" char=".">0.00(0.00, 0.00)</td>
<td align="char" valign="top" char=".">0.24(0.22, 0.25)</td>
<td align="char" valign="top" char=".">2.82(2.75, 2.88)</td>
<td align="char" valign="top" char=".">47.59 (44.47,50.71)</td>
<td align="char" valign="top" char=".">&#x003C;0.0001</td>
</tr>
<tr>
<td align="left" valign="top">Age</td>
<td align="char" valign="top" char=".">47.40 (46.81,47.99)</td>
<td align="char" valign="top" char=".">44.39 (43.73,45.04)</td>
<td align="char" valign="top" char=".">47.10 (45.98,48.22)</td>
<td align="char" valign="top" char=".">48.87 (48.06,49.68)</td>
<td align="char" valign="top" char=".">50.18 (49.24,51.11)</td>
<td align="char" valign="top" char=".">&#x003C;0.0001</td>
</tr>
<tr>
<td align="left" valign="top">Gender</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td align="char" valign="top" char=".">&#x003C;0.0001</td>
</tr>
<tr>
<td align="left" valign="top">Male</td>
<td align="char" valign="top" char=".">7,720 (48.65)</td>
<td align="char" valign="top" char=".">2,960 (53.29)</td>
<td align="char" valign="top" char=".">1,086 (46.66)</td>
<td align="char" valign="top" char=".">1916 (49.01)</td>
<td align="char" valign="top" char=".">1758 (42.10)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Female</td>
<td align="char" valign="top" char=".">8,149 (51.35)</td>
<td align="char" valign="top" char=".">2,638 (46.71)</td>
<td align="char" valign="top" char=".">1,257 (53.34)</td>
<td align="char" valign="top" char=".">2045 (50.99)</td>
<td align="char" valign="top" char=".">2,209 (57.90)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Race</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td align="char" valign="top" char=".">&#x003C;0.0001</td>
</tr>
<tr>
<td align="left" valign="top">White</td>
<td align="char" valign="top" char=".">7,007 (44.16)</td>
<td align="char" valign="top" char=".">2,504 (67.08)</td>
<td align="char" valign="top" char=".">1,003 (66.12)</td>
<td align="char" valign="top" char=".">1,550 (62.93)</td>
<td align="char" valign="top" char=".">1950 (71.56)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Black</td>
<td align="char" valign="top" char=".">3,287 (20.71)</td>
<td align="char" valign="top" char=".">1,390 (13.90)</td>
<td align="char" valign="top" char=".">465 (10.39)</td>
<td align="char" valign="top" char=".">783 (11.60)</td>
<td align="char" valign="top" char=".">649 (8.27)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Mexican</td>
<td align="char" valign="top" char=".">2,592 (16.33)</td>
<td align="char" valign="top" char=".">751 (7.17)</td>
<td align="char" valign="top" char=".">435 (10.35)</td>
<td align="char" valign="top" char=".">838 (10.92)</td>
<td align="char" valign="top" char=".">568 (6.99)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Other</td>
<td align="char" valign="top" char=".">2,983 (18.8)</td>
<td align="char" valign="top" char=".">953 (11.85)</td>
<td align="char" valign="top" char=".">440 (13.14)</td>
<td align="char" valign="top" char=".">790 (14.55)</td>
<td align="char" valign="top" char=".">800 (13.18)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Smoke</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td align="char" valign="top" char=".">&#x003C;0.0001</td>
</tr>
<tr>
<td align="left" valign="bottom">No</td>
<td align="char" valign="bottom" char=".">8,652 (54.52)</td>
<td align="char" valign="bottom" char=".">2,678 (48.00)</td>
<td align="char" valign="bottom" char=".">1,319 (57.40)</td>
<td align="char" valign="bottom" char=".">2,256 (57.86)</td>
<td align="char" valign="bottom" char=".">2,399 (61.84)</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">Yes</td>
<td align="char" valign="bottom" char=".">7,216 (45.48)</td>
<td align="char" valign="bottom" char=".">2,920 (52.00)</td>
<td align="char" valign="bottom" char=".">1,023 (42.60)</td>
<td align="char" valign="bottom" char=".">1705 (42.14)</td>
<td align="char" valign="bottom" char=".">1,568 (38.16)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Body mass index, kg/m2</td>
<td align="char" valign="bottom" char=".">29.09 (28.86,29.32)</td>
<td align="char" valign="bottom" char=".">29.82 (29.51,30.13)</td>
<td align="char" valign="bottom" char=".">29.12 (28.65,29.59)</td>
<td align="char" valign="bottom" char=".">29.00 (28.67,29.33)</td>
<td align="char" valign="bottom" char=".">28.22 (27.90,28.53)</td>
<td align="char" valign="bottom" char=".">&#x003C;0.0001</td>
</tr>
<tr>
<td align="left" valign="top">Waist, cm</td>
<td align="char" valign="bottom" char=".">99.13 (98.48,99.77)</td>
<td align="char" valign="bottom" char=".">100.93 (100.04,101.82)</td>
<td align="char" valign="bottom" char=".">99.04 (97.97,100.11)</td>
<td align="char" valign="bottom" char=".">98.94 (97.98, 99.91)</td>
<td align="char" valign="bottom" char=".">97.01 (96.27, 97.75)</td>
<td align="char" valign="bottom" char=".">&#x003C;0.0001</td>
</tr>
<tr>
<td align="left" valign="top">Systolic pressure, mmHg</td>
<td align="char" valign="bottom" char=".">121.67 (121.14,122.19)</td>
<td align="char" valign="bottom" char=".">122.13 (121.39,122.87)</td>
<td align="char" valign="bottom" char=".">121.23 (120.29,122.17)</td>
<td align="char" valign="bottom" char=".">122.10 (121.11,123.10)</td>
<td align="char" valign="bottom" char=".">120.95 (120.12,121.78)</td>
<td align="char" valign="bottom" char=".">0.09</td>
</tr>
<tr>
<td align="left" valign="top">Diastolic pressure, mmHg</td>
<td align="char" valign="bottom" char=".">71.09 (70.46,71.72)</td>
<td align="char" valign="bottom" char=".">71.84 (70.98,72.70)</td>
<td align="char" valign="bottom" char=".">71.35 (70.50,72.21)</td>
<td align="char" valign="bottom" char=".">70.76 (70.05,71.46)</td>
<td align="char" valign="bottom" char=".">70.28 (69.60,70.95)</td>
<td align="char" valign="top" char=".">0.001</td>
</tr>
<tr>
<td align="left" valign="top">Triglycerides, mg/dl</td>
<td align="char" valign="top" char=".">152.81 (149.11,156.51)</td>
<td align="char" valign="top" char=".">154.89 (148.77,161.01)</td>
<td align="char" valign="top" char=".">155.22 (149.07,161.37)</td>
<td align="char" valign="top" char=".">161.31 (155.62,167.00)</td>
<td align="char" valign="top" char=".">141.77 (137.59,145.96)</td>
<td align="char" valign="top" char=".">&#x003C;0.0001</td>
</tr>
<tr>
<td align="left" valign="top">Total cholesterol, mg/dl</td>
<td align="char" valign="top" char=".">194.43 (192.89,195.98)</td>
<td align="char" valign="top" char=".">192.81 (190.39,195.23)</td>
<td align="char" valign="top" char=".">195.28 (192.64,197.92)</td>
<td align="char" valign="top" char=".">195.22 (193.52,196.92)</td>
<td align="char" valign="top" char=".">195.38 (193.01,197.75)</td>
<td align="char" valign="top" char=".">0.19</td>
</tr>
<tr>
<td align="left" valign="top">HDL cholesterol, mg/dl</td>
<td align="char" valign="top" char=".">52.97 (52.42,53.52)</td>
<td align="char" valign="top" char=".">50.92 (50.20,51.64)</td>
<td align="char" valign="top" char=".">52.82 (51.85,53.79)</td>
<td align="char" valign="top" char=".">52.45 (51.69,53.21)</td>
<td align="char" valign="top" char=".">56.10 (55.26,56.94)</td>
<td align="char" valign="top" char=".">&#x003C;0.0001</td>
</tr>
<tr>
<td align="left" valign="top">LDL cholesterol, mg/dl</td>
<td align="char" valign="top" char=".">114.31 (112.96,115.67)</td>
<td align="char" valign="top" char=".">113.88 (111.40,116.35)</td>
<td align="char" valign="top" char=".">115.99 (112.66,119.32)</td>
<td align="char" valign="top" char=".">114.83 (112.79,116.87)</td>
<td align="char" valign="top" char=".">113.58 (111.18,115.98)</td>
<td align="char" valign="top" char=".">0.72</td>
</tr>
<tr>
<td align="left" valign="top">FPG, mmol/L</td>
<td align="char" valign="top" char=".">5.95 (5.89,6.01)</td>
<td align="char" valign="top" char=".">5.94 (5.86,6.02)</td>
<td align="char" valign="top" char=".">5.96 (5.85,6.08)</td>
<td align="char" valign="top" char=".">5.97 (5.87,6.07)</td>
<td align="char" valign="top" char=".">5.94 (5.82,6.07)</td>
<td align="char" valign="top" char=".">0.94</td>
</tr>
<tr>
<td align="left" valign="top">Hemoglobin A1c, %</td>
<td align="char" valign="top" char=".">5.63 (5.61,5.66)</td>
<td align="char" valign="top" char=".">5.62 (5.60,5.65)</td>
<td align="char" valign="top" char=".">5.63 (5.59,5.67)</td>
<td align="char" valign="top" char=".">5.68 (5.63,5.73)</td>
<td align="char" valign="top" char=".">5.60 (5.57,5.64)</td>
<td align="char" valign="top" char=".">0.02</td>
</tr>
<tr>
<td align="left" valign="top">eGFR, mL/min/1.73&#x2009;m<sup>2</sup></td>
<td align="char" valign="top" char=".">94.64 (93.71,95.56)</td>
<td align="char" valign="top" char=".">96.92 (95.87,97.97)</td>
<td align="char" valign="top" char=".">94.74 (93.24,96.25)</td>
<td align="char" valign="top" char=".">94.01 (92.90,95.12)</td>
<td align="char" valign="top" char=".">92.20 (90.91,93.48)</td>
<td align="char" valign="top" char=".">&#x003C;0.0001</td>
</tr>
<tr>
<td align="left" valign="top">Creatinine, mg/dl</td>
<td align="char" valign="top" char=".">0.88 (0.87,0.89)</td>
<td align="char" valign="top" char=".">0.89 (0.88,0.91)</td>
<td align="char" valign="top" char=".">0.87 (0.86,0.89)</td>
<td align="char" valign="top" char=".">0.88 (0.87,0.89)</td>
<td align="char" valign="top" char=".">0.87 (0.86,0.88)</td>
<td align="char" valign="top" char=".">0.004</td>
</tr>
<tr>
<td align="left" valign="top" colspan="7"><bold>Diseases</bold></td>
</tr>
<tr>
<td align="left" valign="top">Heart failure</td>
<td align="char" valign="top" char=".">513 (3.23)</td>
<td align="char" valign="top" char=".">201 (2.54)</td>
<td align="char" valign="top" char=".">78 (2.33)</td>
<td align="char" valign="top" char=".">137 (2.43)</td>
<td align="char" valign="top" char=".">97 (1.57)</td>
<td align="char" valign="top" char=".">0.02</td>
</tr>
<tr>
<td align="left" valign="top">DM</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td align="char" valign="top" char=".">0.23</td>
</tr>
<tr>
<td align="left" valign="top">DM</td>
<td align="char" valign="top" char=".">3,080 (19.62)</td>
<td align="char" valign="top" char=".">1,058 (14.10)</td>
<td align="char" valign="top" char=".">454 (13.93)</td>
<td align="char" valign="top" char=".">852 (15.96)</td>
<td align="char" valign="top" char=".">716 (13.49)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">IFG</td>
<td align="char" valign="top" char=".">814 (5.19)</td>
<td align="char" valign="top" char=".">311 (5.56)</td>
<td align="char" valign="top" char=".">114 (5.60)</td>
<td align="char" valign="top" char=".">184 (4.51)</td>
<td align="char" valign="top" char=".">205 (5.39)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">IGT</td>
<td align="char" valign="top" char=".">474 (3.02)</td>
<td align="char" valign="top" char=".">140 (2.19)</td>
<td align="char" valign="top" char=".">77 (2.76)</td>
<td align="char" valign="top" char=".">130 (2.94)</td>
<td align="char" valign="top" char=".">127 (3.05)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="char" valign="top" char=".">11,328 (72.17)</td>
<td align="char" valign="top" char=".">4,042 (78.14)</td>
<td align="char" valign="top" char=".">1,668 (77.71)</td>
<td align="char" valign="top" char=".">2,756 (76.59)</td>
<td align="char" valign="top" char=".">2,862 (78.07)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Hypertension</td>
<td align="char" valign="top" char=".">6,933 (43.69)</td>
<td align="char" valign="top" char=".">2,455 (38.38)</td>
<td align="char" valign="top" char=".">1,042 (37.38)</td>
<td align="char" valign="top" char=".">1765 (38.67)</td>
<td align="char" valign="top" char=".">1,671 (35.93)</td>
<td align="char" valign="top" char=".">0.33</td>
</tr>
<tr>
<td align="left" valign="top">Hyperlipidemia</td>
<td align="char" valign="top" char=".">11,227 (70.76)</td>
<td align="char" valign="top" char=".">3,917 (68.76)</td>
<td align="char" valign="top" char=".">1,659 (70.66)</td>
<td align="char" valign="top" char=".">2,858 (70.49)</td>
<td align="char" valign="top" char=".">2,793 (67.79)</td>
<td align="char" valign="top" char=".">0.27</td>
</tr>
<tr>
<td align="left" valign="top">Coronary heart disease</td>
<td align="char" valign="top" char=".">666 (4.21)</td>
<td align="char" valign="top" char=".">226 (3.19)</td>
<td align="char" valign="top" char=".">90 (3.17)</td>
<td align="char" valign="top" char=".">155 (3.36)</td>
<td align="char" valign="top" char=".">195 (4.20)</td>
<td align="char" valign="top" char=".">0.06</td>
</tr>
<tr>
<td align="left" valign="top">Stroke</td>
<td align="char" valign="top" char=".">702 (4.43)</td>
<td align="char" valign="top" char=".">252 (3.08)</td>
<td align="char" valign="top" char=".">132 (3.92)</td>
<td align="char" valign="top" char=".">174 (3.45)</td>
<td align="char" valign="top" char=".">144 (2.68)</td>
<td align="char" valign="top" char=".">0.16</td>
</tr>
<tr>
<td align="left" valign="top" colspan="7"><bold>Medications</bold></td>
</tr>
<tr>
<td align="left" valign="top">ACE inhibitors</td>
<td align="char" valign="top" char=".">386 (2.43)</td>
<td align="char" valign="top" char=".">125 (1.78)</td>
<td align="char" valign="top" char=".">71 (2.66)</td>
<td align="char" valign="top" char=".">102 (2.18)</td>
<td align="char" valign="top" char=".">88 (1.95)</td>
<td align="char" valign="top" char=".">0.31</td>
</tr>
<tr>
<td align="left" valign="top">Beta blocker</td>
<td align="char" valign="top" char=".">2,153 (13.58)</td>
<td align="char" valign="top" char=".">713 (10.29)</td>
<td align="char" valign="top" char=".">329 (12.17)</td>
<td align="char" valign="top" char=".">554 (12.39)</td>
<td align="char" valign="top" char=".">557 (11.40)</td>
<td align="char" valign="top" char=".">0.13</td>
</tr>
<tr>
<td align="left" valign="top">Diuretics</td>
<td align="char" valign="top" char=".">2,319 (14.62)</td>
<td align="char" valign="top" char=".">760 (10.40)</td>
<td align="char" valign="top" char=".">365 (12.90)</td>
<td align="char" valign="top" char=".">617 (12.59)</td>
<td align="char" valign="top" char=".">577 (11.51)</td>
<td align="char" valign="top" char=".">0.1</td>
</tr>
<tr>
<td align="left" valign="top">Statin</td>
<td align="char" valign="top" char=".">3,125 (19.71)</td>
<td align="char" valign="top" char=".">957 (13.91)</td>
<td align="char" valign="top" char=".">501 (17.30)</td>
<td align="char" valign="top" char=".">845 (19.02)</td>
<td align="char" valign="top" char=".">822 (18.00)</td>
<td align="char" valign="top" char=".">&#x003C;0.0001</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>eGFR, glomerular filtration rate; HDL cholesterol, high-density cholesterol; LDL cholesterol, low-density cholesterol; FBG, fasting plasma glucose; DM, diabetes mellitus; IFG, impaired fasting glucose; IGT, impaired glucose tolerance.</p>
</table-wrap-foot>
</table-wrap>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption><p>Proportion of heart failure in the quartile of anthocyanidins.</p></caption>
<graphic xlink:href="fnut-10-1107637-g002.tif"/>
</fig>
</sec>
<sec id="sec14">
<title>Association between dietary anthocyanidins intake and HF</title>
<p>We compared the dietary intake of flavonoids between non-HF and HF. Surprisingly, although there was no difference in the intake of total flavonoids and other five flavonoids, the intake of anthocyanidins in non-HF was higher than that in HF (13.84 [12.52, 15.17] mg vs. 8.04 [5.81, 10.28] mg; <italic>p</italic> &#x003C;&#x2009;0.0001). Moreover, the five anthocyanidins subclasses (cyanidin, delphinidin, petunidin, malvidin, peonidin) also showed the same trends (<xref rid="tab2" ref-type="table">Table 2</xref>). In <xref rid="SM1" ref-type="supplementary-material">Supplementary Table S1</xref>, the findings of univariate logistic regression analyses for HF were shown. The dietary anthocyanidins intake were negatively correlated with HF. Conversely, risk factors for cardiovascular diseases, such as age, smoke, BMI, waist, triglycerides, fasting plasma glucose were positively with HF. Compared to the Q1 group, participants with highest dietary anthocyanidins (Q4) intake showed a lower presence of HF (OR 0.61, 95% CI [0.46&#x2013;0.81]; <italic>p</italic> &#x003C;&#x2009;0.001) in the unadjusted model. <xref rid="tab3" ref-type="table">Table 3</xref> displayed the findings of multivariate logistic regression analysis for the relationship between dietary anthocyanidins intake and HF. Highest dietary anthocyanidins intake (Q4) was independently associated with lower presence of HF with adjustment for age, sex, race, smoke, BMI, waist, systolic pressure, diastolic pressure, diabetes, hypertension, hyperlipidemia, coronary heart disease, stroke, ACE inhibitor, Beta blocker, diuretics, statin, eGFR, creatinine, HbAlc, FPG, HDL, LDL, TC, TG (OR 0.467, 95% CI [0.302, 0.751]; <italic>p</italic> =&#x2009;0.003). Additionally, we transformed intake of dietary anthocyanidins into a categorical variable (Q1-4), both the unadjusted (<italic>p</italic> for trend &#x003C;0.001) and adjusted (<italic>p</italic> for trend&#x2009;=&#x2009;0.005) models showed significant <italic>p</italic> for trends.</p>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption><p>Flavonoid in patients with or without heart failure.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Variable</th>
<th align="center" valign="top">Total</th>
<th align="center" valign="top">Non-HF</th>
<th align="center" valign="top">HF</th>
<th align="center" valign="top"><italic>p</italic> value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Total anthocyanidins, mg</td>
<td align="char" valign="top" char=".">13.72 (12.41, 15.02)</td>
<td align="char" valign="top" char=".">13.84 (12.52, 15.17)</td>
<td align="char" valign="top" char=".">8.04 (5.81, 10.28)</td>
<td align="char" valign="top" char=".">&#x003C;0.0001</td>
</tr>
<tr>
<td align="left" valign="top">Total isoflavones, mg</td>
<td align="char" valign="top" char=".">2.01 (1.70, 2.32)</td>
<td align="char" valign="top" char=".">2.02 (1.71, 2.34)</td>
<td align="char" valign="top" char=".">1.55 (0.68, 2.42)</td>
<td align="char" valign="top" char=".">0.29</td>
</tr>
<tr>
<td align="left" valign="top">Total flavan-3-ols, mg</td>
<td align="char" valign="top" char=".">186.91 (171.93, 201.89)</td>
<td align="char" valign="top" char=".">186.93 (171.76, 202.10)</td>
<td align="char" valign="top" char=".">186.01 (127.14, 244.88)</td>
<td align="char" valign="top" char=".">0.98</td>
</tr>
<tr>
<td align="left" valign="top">Total flavanones, mg</td>
<td align="char" valign="top" char=".">12.27 (11.51, 13.02)</td>
<td align="char" valign="top" char=".">12.28 (11.52, 13.03)</td>
<td align="char" valign="top" char=".">11.90 (9.10, 14.70)</td>
<td align="char" valign="top" char=".">0.79</td>
</tr>
<tr>
<td align="left" valign="top">Total flavonols, mg</td>
<td align="char" valign="top" char=".">19.52 (18.79, 20.25)</td>
<td align="char" valign="top" char=".">19.58 (18.84, 20.32)</td>
<td align="char" valign="top" char=".">16.89 (14.13, 19.66)</td>
<td align="char" valign="top" char=".">0.07</td>
</tr>
<tr>
<td align="left" valign="bottom">Total flavones, mg</td>
<td align="char" valign="bottom" char=".">0.92 (0.86, 0.97)</td>
<td align="char" valign="bottom" char=".">0.92 (0.87, 0.97)</td>
<td align="char" valign="bottom" char=".">0.79 (0.46, 1.13)</td>
<td align="char" valign="bottom" char=".">0.46</td>
</tr>
<tr>
<td align="left" valign="top">Total sum of all flavonoids, mg</td>
<td align="char" valign="top" char=".">235.35 (219.62, 251.07)</td>
<td align="char" valign="top" char=".">235.58 (219.63, 251.52)</td>
<td align="char" valign="top" char=".">225.19 (163.24, 287.13)</td>
<td align="char" valign="top" char=".">0.75</td>
</tr>
<tr>
<td align="left" valign="top" colspan="5"><bold>Anthocyanidins</bold></td>
</tr>
<tr>
<td align="left" valign="bottom">Cyanidin, mg</td>
<td align="char" valign="bottom" char=".">2.55 (2.20, 2.89)</td>
<td align="char" valign="bottom" char=".">2.57 (2.22, 2.92)</td>
<td align="char" valign="bottom" char=".">1.61 (1.13, 2.09)</td>
<td align="char" valign="bottom" char=".">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="bottom">Delphinidin, mg</td>
<td align="char" valign="bottom" char=".">1.76 (1.30, 2.21)</td>
<td align="char" valign="bottom" char=".">1.78 (1.32, 2.25)</td>
<td align="char" valign="bottom" char=".">0.66 (0.35, 0.97)</td>
<td align="char" valign="bottom" char=".">&#x003C;0.0001</td>
</tr>
<tr>
<td align="left" valign="bottom">Petunidin, mg</td>
<td align="char" valign="bottom" char=".">1.13 (0.96, 1.30)</td>
<td align="char" valign="bottom" char=".">1.14 (0.97, 1.32)</td>
<td align="char" valign="bottom" char=".">0.55 (0.27, 0.82)</td>
<td align="char" valign="bottom" char=".">&#x003C;0.0001</td>
</tr>
<tr>
<td align="left" valign="bottom">Malvidin, mg</td>
<td align="char" valign="bottom" char=".">4.75 (4.24, 5.26)</td>
<td align="char" valign="bottom" char=".">4.80 (4.28, 5.31)</td>
<td align="char" valign="bottom" char=".">2.72 (1.66, 3.78)</td>
<td align="char" valign="bottom" char=".">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="bottom">Peonidin, mg</td>
<td align="char" valign="bottom" char=".">1.94 (1.65, 2.22)</td>
<td align="char" valign="bottom" char=".">1.96 (1.67, 2.24)</td>
<td align="char" valign="bottom" char=".">1.04 (0.58, 1.49)</td>
<td align="char" valign="bottom" char=".">0.001</td>
</tr>
<tr>
<td align="left" valign="bottom">Pelargonidin, mg</td>
<td align="char" valign="bottom" char=".">1.60 (1.37, 1.83)</td>
<td align="char" valign="bottom" char=".">1.60 (1.37, 1.83)</td>
<td align="char" valign="bottom" char=".">1.47 (0.72, 2.22)</td>
<td align="char" valign="bottom" char=".">0.75</td>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap position="float" id="tab3">
<label>Table 3</label>
<caption><p>Associations between total anthocyanidins and heart failure.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th align="center" valign="top">Unadjusted model</th>
<th align="center" valign="top">Model 1</th>
<th align="center" valign="top">Model 2</th>
<th align="center" valign="top">Model 3</th>
</tr>
<tr>
<th align="left" valign="top">Character</th>
<th align="center" valign="top">95%CI, <italic>p</italic></th>
<th align="center" valign="top">OR 95%CI, <italic>p</italic></th>
<th align="center" valign="top">OR 95%CI, <italic>p</italic></th>
<th align="center" valign="top">OR 95%CI, <italic>p</italic></th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Q1</td>
<td align="center" valign="top">ref</td>
<td align="center" valign="top">ref</td>
<td align="center" valign="top">ref</td>
<td align="center" valign="top">ref</td>
</tr>
<tr>
<td align="left" valign="top">Q2</td>
<td align="char" valign="top" char=".">0.919 (0.644, 1.310)</td>
<td align="char" valign="top" char=".">0.780 (0.540, 1.128)</td>
<td align="char" valign="top" char=".">0.800 (0.551, 1.160)</td>
<td align="char" valign="top" char=".">0.583 (0.282, 1.205)</td>
</tr>
<tr>
<td/>
<td align="char" valign="top" char=".">0.633</td>
<td align="char" valign="top" char=".">0.182</td>
<td align="char" valign="top" char=".">0.232</td>
<td align="char" valign="top" char=".">0.112</td>
</tr>
<tr>
<td align="left" valign="top">Q3</td>
<td align="char" valign="top" char=".">0.957 (0.699, 1.310)</td>
<td align="char" valign="top" char=".">0.708 (0.513, 0.978)</td>
<td align="char" valign="top" char=".">0.728 (0.527, 1.004)</td>
<td align="char" valign="top" char=".">0.779 (0.465, 1.307)</td>
</tr>
<tr>
<td/>
<td align="char" valign="top" char=".">0.777</td>
<td align="char" valign="top" char=".">0.037</td>
<td align="char" valign="top" char=".">0.053</td>
<td align="char" valign="top" char=".">0.321</td>
</tr>
<tr>
<td align="left" valign="top">Q4</td>
<td align="char" valign="top" char=".">0.614 (0.465, 0.811)</td>
<td align="char" valign="top" char=".">0.426 (0.324, 0.562)</td>
<td align="char" valign="top" char=".">0.446 (0.336, 0.591)</td>
<td align="char" valign="top" char=".">0.467 (0.302, 0.751)</td>
</tr>
<tr>
<td/>
<td align="char" valign="top" char=".">&#x003C;0.001</td>
<td align="char" valign="top" char=".">&#x003C;0.001</td>
<td align="char" valign="top" char=".">&#x003C;0.001</td>
<td align="char" valign="top" char=".">0.003</td>
</tr>
<tr>
<td align="left" valign="top"><italic>p</italic> for trend</td>
<td align="char" valign="top" char=".">&#x003C;0.001</td>
<td align="char" valign="top" char=".">&#x003C;0.001</td>
<td align="char" valign="top" char=".">&#x003C;0.001</td>
<td align="char" valign="top" char=".">0.005</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>Unadjusted model: univariate logistic regression analyses. Model 1 was adjusted for age, sex. Model 2 was adjusted for variables included in Model 1 and race. Model 3 was adjusted for variables included in Model 1 and smoke, body mass index, waist, systolic pressure, diastolic pressure, diabetes, hypertension, hyperlipidemia, coronary heart disease, stroke, ACE inhibitor, Beta blocker, diuretics, statin, eGFR, creatinine, hemoglobin A1c, fast glucose, HDL cholesterol, LDL cholesterol, total cholesterol, triglycerides. OR, odd ratio; CI, confidence interval.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec15">
<title>Subgroup analyses</title>
<p>Through subgroup analysis, we further investigate the correlation between dietary anthocyanidins intake and HF in different populations (<xref rid="fig3" ref-type="fig">Figure 3</xref>). The whole population was stratified by age, sex, race and different disease status. In the subgroups of &#x2265;45&#x2009;years (OR 0.49, 95% CI [0.35, 0.67]), female (OR 0.50, 95% CI [0.35, 0.72]), smoker (OR 0.69, 95% CI [0.48, 1.00]), non-Hispanic White (OR 0.65, 95% CI [0.45, 0.93]) or without diabetes (OR 0.45, 95% CI [0.28, 0.73]), stroke (OR 0.60, 95% CI [0.43, 0.85]), renal failure (OR 0.49, 95% CI [0.33.0.73]), this association was still stable. Furthermore, we conducted independent multivariate logistic regression analysis for each subgroup. The variables enrolled in model3 were all retained in this analysis except for the variables that were used for stratification. These trends were consistent with before.</p>
<fig position="float" id="fig3">
<label>Figure 3</label>
<caption><p>Association between total anthocyanidins (Q4) and heart failure in various stratifications. OR, odd ratio; CI, confidence interval; DM, diabetes mellitus; IFG, impaired fasting glucose; IGT, impaired glucose tolerance; eGFR, glomerular filtration rate.</p></caption>
<graphic xlink:href="fnut-10-1107637-g003.tif"/>
</fig>
</sec>
</sec>
<sec id="sec16" sec-type="discussions">
<title>Discussion</title>
<p>As far as we know, this study was the first time to demonstrate the association between dietary anthocyanidins intake and HF, dietary anthocyanidins consumption (categorical) and HF were found to be negatively correlated in the NHANES 2007&#x2013;2010 and 2017&#x2013;2018. When dietary anthocyanidins intake was in the Q4 group, the incidence of HF was lowered by 50% after adjusting probable confounding factors. This negative correlation is still stable in subgroups of female, &#x2265;45&#x2009;years, former smoker, non-Hispanic White or without diabetes, stroke, renal failure. Moreover, compared with anthocyanidins intake between HF and non-HF for each quartile, it was found that only anthocyanins intake of Q4 was different between HF and non-HF, the intake of anthocyanins in non-HF was higher than that in HF (<xref rid="SM3" ref-type="supplementary-material">Supplementary Figure S1</xref>; <xref rid="SM2" ref-type="supplementary-material">Supplementary Table S2</xref>).</p>
<p>At present, cardiovascular disease has caused great social burden, so many scholars are emphasizing the importance of dietary habits in the prevention and treatment of cardiovascular diseases (<xref ref-type="bibr" rid="ref23">23</xref>). With the increasing demand for flavonoids (<xref ref-type="bibr" rid="ref24">24</xref>), anthocyanidins have been discovered many benefits for cardiovascular system, which is a subgroup of flavonoids (<xref ref-type="bibr" rid="ref25">25</xref>). As some studies have shown, a high dietary intake of anthocyanidins was linked to decreased total cardiovascular disease incidence and mortality. For example, Adriouch S et al. found that participants in the highest tertiles of anthocyanidins had a 34% lower risk of major cardiovascular events than those in the lowest tertiles following multivariable adjustment (<xref ref-type="bibr" rid="ref26">26</xref>). Besides, Lin Xu et al. confirmed that dietary intake of anthocyanidins significantly decreased the risk of death from all cardiovascular diseases in meta-analysis including 2,36,648 subjects and 9,765 cases (RR: 0.91, 95% CI [0.87, 0.96]; <italic>p</italic> &#x003C;&#x2009;0.001), it was also found that dietary anthocyanidins may have a more significant protective effect on total CVD mortality in women (<xref ref-type="bibr" rid="ref27">27</xref>). Additionally, dietary anthocyanidins intake is also beneficial in vascular diseases. Such as, <ext-link xlink:href="https://pubmed.ncbi.nlm.nih.gov/?term=Goetz+ME&#x0026;cauthor_id=27655439" ext-link-type="uri">Margarethe E Goetz</ext-link> et al. reported that anthocyanidins intake was negatively correlated with incident of coronary heart disease after matching age, sex, race and residence (<xref ref-type="bibr" rid="ref28">28</xref>). Moreover, anthocyanidins consumption in the diet is crucial for preventing subclinical injury of cardiovascular disease, such as hyperlipidemia, obesity, vascular endothelial function, arterial stiffness, decreased cardiac systolic function (<xref ref-type="bibr" rid="ref29">29</xref>&#x2013;<xref ref-type="bibr" rid="ref32">32</xref>) Although some studies believed that purified anthocyanidins had more cardioprotective effects than dietary anthocyanidins (<xref ref-type="bibr" rid="ref27">27</xref>), this conclusion is still controversial due to incompleteness of dietary data and differences in interventions (<xref ref-type="bibr" rid="ref33">33</xref>&#x2013;<xref ref-type="bibr" rid="ref36">36</xref>). The evidence for the benefits of dietary anthocyanidins on cardiovascular system is very strong, but our research revealed for the first time a connection between dietary anthocyanidins intake and the presence of HF in the general population.</p>
<p>Although our clinical studies revealed an association between dietary intake of anthocyanidins and HF, the underlying mechanism had not been clarified. Thus, we summarized the following four possible mechanisms through literature summary. First, oxidative stress disorder plays a crucial role in the in the occurrence and development of HF. When the production of reactive oxygen species (ROS) exceeds the internal defense capacity of cells, excess ROS will attack cells, leading to protein and lipid peroxidation, DNA damage, and ultimately cell death (<xref ref-type="bibr" rid="ref37">37</xref>). Anthocyanidins, a naturally occurring plant pigment, not only serves as a colorant but also has strong antioxidant properties, ROS such superoxide anion, singlet oxygen, and peroxide free radical can be neutralized by anthocyanidins (<xref ref-type="bibr" rid="ref38">38</xref>). Second, in the pathophysiological process of chronic HF, a long-lasting inflammatory response causes adverse ventricular remodeling (<xref ref-type="bibr" rid="ref39">39</xref>). The anti-inflammatory capabilities of anthocyanidins have also been proven in numerous research (<xref ref-type="bibr" rid="ref40">40</xref>&#x2013;<xref ref-type="bibr" rid="ref44">44</xref>), anthocyanidins can inhibit NF-&#x03BA;B activity to reduce inflammation level. Third, some clinical studies have found that anthocyanidins can improve cardiovascular metabolic disorder and obesity, which are high risk factors for HF (<xref ref-type="bibr" rid="ref29">29</xref>, <xref ref-type="bibr" rid="ref30">30</xref>). Fourth, rich-anthocyanidins foods also contain dietary fiber, vitamins and various polyphenols, which also have certain protective effects on heart health (<xref ref-type="bibr" rid="ref45">45</xref>&#x2013;<xref ref-type="bibr" rid="ref48">48</xref>). To investigate established and speculative mechanisms, further basic and clinical research is required.</p>
<p>Nevertheless, there were some limitations in this study. First, as a cross-sectional study, this study was unable to confirm the causal relationship between dietary intake of anthocyanidins and HF. Second, this study only evaluated the effect of anthocyanidins in food, but whether the purified anthocyanidins had the same effect still needs further randomized controlled experiments. Third, the NHANES database does not provide brain natriuretic peptide and echocardiography data, so this study cannot further evaluate the relationship between dietary intake of anthocyanidins and the severity of HF. Moreover, uncontrollable confounding variables may also need further analysis, such as physical activity and nutritional supplements. Finally, the subjects of this study were adult Americans, excluding adolescents and children, which would affect the promotion of the research results.</p>
</sec>
<sec id="sec17" sec-type="conclusions">
<title>Conclusion</title>
<p>In conclusion, dietary intake of anthocyanidins was associated with HF negatively, people can decrease the presence of HF by increasing anthocyanidins in their daily diets. To determine their clear relationship, more cellular, animal, and human investigations are necessary.</p>
</sec>
<sec id="sec18" sec-type="data-availability">
<title>Data availability statement</title>
<p>The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/<xref rid="sec22" ref-type="sec">Supplementary material</xref>.</p>
</sec>
<sec id="sec19">
<title>Ethics statement</title>
<p>The studies involving human participants were reviewed and approved by National Health and Nutrition Examination Survey (NHANES). The patients/participants provided their written informed consent to participate in this study. Written informed consent was obtained from the individual(s) for the publication of any potentially identifiable images or data included in this article.</p>
</sec>
<sec id="sec20">
<title>Author contributions</title>
<p>ZT conceived and designed the study. RZ, WZ, and ZJ were responsible for the management and retrieval of data, contributed to initial data analysis, and interpretation. ZT drafted the initial manuscript. XC, RH, and XL revised the manuscript and were the guarantors of this work and had full access to all the data in the study. GM take responsibility for its integrity and the accuracy of the data analysis. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec id="conf1" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="sec100" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
</body>
<back>
<sec id="sec22" sec-type="supplementary-material">
<title>Supplementary material</title>
<p>The Supplementary material for this article can be found online at: <ext-link xlink:href="https://www.frontiersin.org/articles/10.3389/fnut.2023.1107637/full#supplementary-material" ext-link-type="uri">https://www.frontiersin.org/articles/10.3389/fnut.2023.1107637/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Table_1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" xmlns:xlink="http://www.w3.org/1999/xlink"/>
<supplementary-material xlink:href="Table_2.DOCX" id="SM2" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" xmlns:xlink="http://www.w3.org/1999/xlink"/>
<supplementary-material xlink:href="Image_1.PNG" id="SM3" mimetype="image/png" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
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<fn id="fn0004"><p><sup>1</sup><ext-link xlink:href="https://www.cdc.gov/nchs/nhanes/index.htm" ext-link-type="uri">https://www.cdc.gov/nchs/nhanes/index.htm</ext-link></p></fn>
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