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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.2025.1534535</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>Interactive effect between Selenium and Vitamin C levels on risk of hypertension among adult women in the United States: evidence from NHANES 2011 to 2020</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes"><name><surname>Wu</surname> <given-names>Dongfang</given-names></name><xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/2560414/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author"><name><surname>Fan</surname> <given-names>Ping</given-names></name>
<uri xlink:href="https://loop.frontiersin.org/people/2952257/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author"><name><surname>Ching</surname> <given-names>Sze Wan</given-names></name>
<uri xlink:href="https://loop.frontiersin.org/people/2952258/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
</contrib-group>
<aff><institution>Global Health Research Center, Duke Kunshan University</institution>, <addr-line>Kunshan</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by" id="fn0001">
<p>Edited by: Agnieszka Kujawska, Nicolaus Copernicus University in Toru&#x0144;, Poland</p>
</fn>
<fn fn-type="edited-by" id="fn0002">
<p>Reviewed by: Dritan Topi, University of Tirana, Albania</p>
<p>Claudia Bezerra De Almeida, Universidade Federal de S&#x00E3;o Paulo, Brazil</p>
</fn>
<corresp id="c001">&#x002A;Correspondence: Dongfang Wu, <email>dongfang.wu@duke.edu</email></corresp>
</author-notes>
<pub-date pub-type="epub">
<day>13</day>
<month>03</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>12</volume>
<elocation-id>1534535</elocation-id>
<history>
<date date-type="received">
<day>27</day>
<month>11</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>09</day>
<month>01</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2025 Wu, Fan and Ching.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Wu, Fan and Ching</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<sec id="sec1">
<title>Background</title>
<p>Hypertension poses an imperative global health risk, affecting over 1 billion people and contributing to cardiovascular disease, especially for women. While previous studies suggest micronutrients such as Vitamin C or Selenium can help reduce blood pressure, research on their interactive effects remains limited.</p>
</sec>
<sec id="sec2">
<title>Methods</title>
<p>This cross-sectional study analyzed data from 9,343 women aged 20&#x202F;years and older in NHANES (2011&#x2013;2020). Logistic regression analysis was conducted to evaluate the effect of each micronutrient on hypertension. To account for potential interactions between micronutrients, we calculated the relative excess risk due to interaction, which assessed their combined effect on hypertension.</p>
</sec>
<sec id="sec3">
<title>Results</title>
<p>We confirmed the individual associations of Vitamin C and Selenium with hypertension, showing significant negative correlations (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05). Participants were then divided into four groups, and those with high intakes of both Vitamin C and Selenium had a significantly lower risk of hypertension (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05), supporting the association between the combined intake of these nutrients and lower hypertension risk, though no synergistic effect was observed.</p>
</sec>
<sec id="sec4">
<title>Conclusion</title>
<p>The findings support the combined intake of Vitamin C and Selenium in hypertension prevention, broadening thoughts on the level of nutrition for the treatment of hypertension. These results suggest a potential association between adequate supplementation of Vitamin C and Selenium and lower blood pressure. However, further rigorous clinical studies are essential to validate and strengthen these findings.</p>
</sec>
</abstract>
<kwd-group>
<kwd>Selenium</kwd>
<kwd>Vitamin C</kwd>
<kwd>hypertension</kwd>
<kwd>women</kwd>
<kwd>NHANES</kwd>
</kwd-group>
<counts>
<fig-count count="2"/>
<table-count count="4"/>
<equation-count count="0"/>
<ref-count count="21"/>
<page-count count="7"/>
<word-count count="3828"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Clinical Nutrition</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec5">
<title>Introduction</title>
<p>Hypertension has been a significant global health challenge for human, affecting approximately 1.39 billion individuals worldwide, it is also the leading modifiable risk factor for cardiovascular disease and early mortality (<xref ref-type="bibr" rid="ref1">1</xref>). Furthermore, hypertension is the primary factor of death among all cardiovascular disease risk factors. Meanwhile, it is a major contributor to the exacerbation of kidney failure (<xref ref-type="bibr" rid="ref2">2</xref>, <xref ref-type="bibr" rid="ref3">3</xref>). Additionally, hypertension increases the risk of heart disease and stroke, which ranked as the first and fifth leading causes of death in the United States for 2017 (<xref ref-type="bibr" rid="ref4">4</xref>). Therefore, the adverse consequences of hypertension are notably multifaceted.</p>
<p>Previous research provides substantial evidence on the serious impacts of hypertension. As shown in <xref ref-type="table" rid="tab1">Table 1</xref>, the prevalence of hypertension in the United States varies by age group and gender, with elderly women (aged 65 and above) having a higher prevalence of hypertension, highlighting the importance of early prevention (<xref ref-type="bibr" rid="ref5">5</xref>). Furthermore, a cohort study found that hypertension and changes in blood pressure during early adulthood were linked to differences in brain volume and white matter in later life, which are associated with neurodegeneration and dementia (<xref ref-type="bibr" rid="ref6">6</xref>). These results highlight the importance of preventing and managing hypertension in early adulthood.</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>Prevalence of hypertension in adults aged &#x2265;20&#x202F;years from NHANES 2011&#x2013;2014.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Age group</th>
<th align="center" valign="top">Male</th>
<th align="center" valign="top">Female</th>
<th align="center" valign="top">Difference</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">20&#x2013;34</td>
<td align="center" valign="top">10.7%</td>
<td align="center" valign="top">7.8%</td>
<td align="center" valign="top">&#x2212;2.9%</td>
</tr>
<tr>
<td align="left" valign="top">35&#x2013;44</td>
<td align="center" valign="top">23.1%</td>
<td align="center" valign="top">22.8%</td>
<td align="center" valign="top">&#x2212;0.3%</td>
</tr>
<tr>
<td align="left" valign="top">45&#x2013;54</td>
<td align="center" valign="top">36.1%</td>
<td align="center" valign="top">33.2%</td>
<td align="center" valign="top">&#x2212;2.9%</td>
</tr>
<tr>
<td align="left" valign="top">55&#x2013;64</td>
<td align="center" valign="top">57.6%</td>
<td align="center" valign="top">55.5%</td>
<td align="center" valign="top">&#x2212;2.1%</td>
</tr>
<tr>
<td align="left" valign="top">65&#x2013;74</td>
<td align="center" valign="top">63.6%</td>
<td align="center" valign="top">65.8%</td>
<td align="center" valign="top">2.2%</td>
</tr>
<tr>
<td align="left" valign="top">&#x2265;75</td>
<td align="center" valign="top">73.4%</td>
<td align="center" valign="top">81.2%</td>
<td align="center" valign="top">7.8%</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Beyond the significant health implications, hypertension also imposes substantial economic burdens. Compared to normotensive individuals, those with hypertension had approximately 2.5 times the inpatient cost, nearly twice the outpatient cost, and almost triple the prescription medication expenditure (<xref ref-type="bibr" rid="ref7">7</xref>). Additionally, women may face mounting disease and economic burdens due to hypertension, emphasizing the significance of research in the prevention of this disease.</p>
<p>Studies have shown that certain nutrients can promote the management of hypertension. A re-analysis of National Health and Nutrition Examination Survey (NHANES) data revealed that higher Vitamin E intake was significantly associated with a lower prevalence of hypertension, and another systematic review found that Vitamin D concentration was inversely associated with systolic blood pressure (<xref ref-type="bibr" rid="ref8">8</xref>, <xref ref-type="bibr" rid="ref9">9</xref>). Also, some studies emphasize the importance of Selenium and Vitamin C in preventing hypertension individually. Vitamin C, also known as L-ascorbic acid, is a water-soluble vitamin, which can be obtained either through diet or dietary supplements (<xref ref-type="bibr" rid="ref10">10</xref>). A meta-analysis has shown that Vitamin C supplementation has significantly reduced blood pressure in subjects with essential hypertension (<xref ref-type="bibr" rid="ref11">11</xref>). As for Selenium, it is a nutrient, which is essential for the normal functioning of the immune system (<xref ref-type="bibr" rid="ref12">12</xref>). Furthermore, as a component of glutathione peroxidase, Selenium is a key enzyme in the body&#x2019;s antioxidant defense system (<xref ref-type="bibr" rid="ref13">13</xref>). For example, glutathione peroxidase helps maintain nitric oxide in its reduced form and protects against oxidative stress, which suggests that Selenium deficiency could increase the risk of cardiovascular disease (<xref ref-type="bibr" rid="ref14">14</xref>). On the other hand, dietary Selenium intake has a linear negative correlation with hypertension prevalence in adults (<xref ref-type="bibr" rid="ref15">15</xref>).</p>
<p>Despite studies exploring the individual effects of these micronutrients, there is a dearth of the interaction of diverse nutrients. This study aims to address the existing research gap by analyzing the interactive effects of Vitamin C and Selenium intake on hypertension and exploring the potential mechanisms among women aged 20 and above. The purpose of our study is twofold. We seek to validate the independent effects of these micronutrients and analyze their interactions, eventually providing new insights to guide nutritional strategies for hypertension prevention.</p>
</sec>
<sec sec-type="methods" id="sec6">
<title>Methods</title>
<sec id="sec7">
<title>Study design</title>
<p>This research is a cross-sectional study utilizing data from NHANES, spanning from 2011 to 2020. NHANES, initiated in the early 1960s, is a long-standing research program aimed at evaluating the health and nutritional status of adults and children in the United States, enhancing the wider dissemination of perception of public health. The survey includes interviews that cover a range of topics, including demographic, socioeconomic, dietary factors, and health-related issues such as the history of hypertension and intake of trace elements (<xref ref-type="bibr" rid="ref16">16</xref>). This extensive database indisputably provided imperative evidence to support our exploration of the interaction between Vitamin C and Selenium concerning hypertension in women.</p>
</sec>
<sec id="sec8">
<title>Participants</title>
<p>As illustrated in <xref ref-type="fig" rid="fig1">Figure 1</xref>, we focused on women aged 20&#x202F;years and older who had complete data for blood pressure measurements, dietary intake (including Vitamin C and Selenium), relevant demographic variables (age, race, education, and income), and behavioral factors (alcohol use, caffeine intake, sodium intake, and recreational activities). Exclusion criteria included missing or implausible dietary data and absence of valid blood pressure measurements, and 9,343 participants were retained for the final analysis.</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>Flow process of participant selection.</p>
</caption>
<graphic xlink:href="fnut-12-1534535-g001.tif"/>
</fig>
</sec>
<sec id="sec9">
<title>Data collection</title>
<p>Blood pressure was measured using standardized procedures, and hypertension was determined if participants met at least one of the following criteria: (1) systolic blood pressure&#x202F;&#x2265;&#x202F;140&#x202F;mmHg or diastolic blood pressure&#x202F;&#x2265;&#x202F;90&#x202F;mmHg, (2) told by a doctor or other health professional that have hypertension, and (3) current use of prescribed medicine for hypertension. Vitamin C, Selenium, caffeine, alcohol, and sodium were assessed by two days and determined by averaging the consumption of participants during this period.</p>
</sec>
<sec id="sec10">
<title>Statistical analysis</title>
<p>We first conducted descriptive analyses to summarize participants&#x2019; demographic and behavioral characteristics using proportions. To assess the individual associations of Vitamin C and Selenium intake with hypertension, we performed logistic regression with three models that incrementally adjusted for demographic variables (Model I), socioeconomic and behavioral variables (Model II), and dietary variables (Model III). Odds ratios (ORs) and 95% confidence intervals (CIs) were estimated to quantify these associations. For the interaction analysis, participants were categorized into four groups based on whether their Vitamin C and Selenium intakes met the recommended dietary intake levels, and we calculated the relative excess risk due to interaction (RERI) to evaluate the combined effect of these micronutrients on hypertension. A <italic>p</italic>-value of less than 0.05 was considered statistically significant.</p>
</sec>
</sec>
<sec sec-type="results" id="sec11">
<title>Results</title>
<sec id="sec12">
<title>Characteristics of participants</title>
<p>As indicated in <xref ref-type="table" rid="tab2">Table 2</xref>, a total of 9,343 women aged 20&#x202F;years and older were included in this study and divided into four groups based on whether their Vitamin C and Selenium intakes met the recommended: 75 mg/day of Vitamin C and 55 mg/day of Selenium for adult women, as outlined by the Dietary Reference Intakes from the Institute of Medicine, Food and Nutrition Board. Group 1 included women whose intakes of both Vitamin C and Selenium were below the recommended levels. Group 2 included those with Vitamin C intake above and Selenium intake below the recommended levels. Group 3 consisted of participants with Vitamin C intake below and Selenium intake above the recommended levels. Group 4 encompassed women whose intakes of both Vitamin C and Selenium were above the recommended levels.</p>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption>
<p>Weighted characteristics of the participants.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Variable</th>
<th align="center" valign="top">Total<break/><italic>N</italic>&#x202F;=&#x202F;9,343</th>
<th align="center" valign="top">Group 1<break/><italic>N</italic>&#x202F;=&#x202F;854</th>
<th align="center" valign="top">Group 2<break/><italic>N</italic>&#x202F;=&#x202F;4,732</th>
<th align="center" valign="top">Group 3<break/><italic>N</italic>&#x202F;=&#x202F;364</th>
<th align="center" valign="top">Group 4<break/><italic>N</italic>&#x202F;=&#x202F;3,393</th>
<th align="center" valign="top"><italic>p</italic>-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Age group (%)</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td align="center" valign="top"><bold>0.000</bold></td>
</tr>
<tr>
<td align="left" valign="top">&#x2264;50&#x202F;years</td>
<td align="center" valign="top">4,858 (52.00)</td>
<td align="center" valign="top">401 (46.96)</td>
<td align="center" valign="top">2,553 (53.95)</td>
<td align="center" valign="top">154 (42.31)</td>
<td align="center" valign="top">1,750 (51.58)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x003E;50&#x202F;years</td>
<td align="center" valign="top">4,485 (48.00)</td>
<td align="center" valign="top">453 (53.04)</td>
<td align="center" valign="top">2,179 (46.05)</td>
<td align="center" valign="top">210 (57.69)</td>
<td align="center" valign="top">1,643 (48.42)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Race (%)</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td align="center" valign="top"><bold>0.000</bold></td>
</tr>
<tr>
<td align="left" valign="top">Non-Hispanic White</td>
<td align="center" valign="top">3,666 (39.24)</td>
<td align="center" valign="top">365 (42.74)</td>
<td align="center" valign="top">2,013 (42.54)</td>
<td align="center" valign="top">121 (33.24)</td>
<td align="center" valign="top">1,167 (34.39)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Others</td>
<td align="center" valign="top">5,677 (60.76)</td>
<td align="center" valign="top">489 (57.26)</td>
<td align="center" valign="top">2,719 (57.46)</td>
<td align="center" valign="top">243 (66.76)</td>
<td align="center" valign="top">2,226 (65.61)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Education level</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td align="center" valign="top"><bold>0.000</bold></td>
</tr>
<tr>
<td align="left" valign="top">Less than high school</td>
<td align="center" valign="top">1,635 (17.50)</td>
<td align="center" valign="top">217 (25.41)</td>
<td align="center" valign="top">809 (17.10)</td>
<td align="center" valign="top">75 (20.60)</td>
<td align="center" valign="top">534 (15.74)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">High school</td>
<td align="center" valign="top">1,975 (21.14)</td>
<td align="center" valign="top">208 (24.36)</td>
<td align="center" valign="top">1,111 (23.48)</td>
<td align="center" valign="top">72 (19.78)</td>
<td align="center" valign="top">584 (17.21)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">More than high school</td>
<td align="center" valign="top">5,733 (61.36)</td>
<td align="center" valign="top">429 (50.23)</td>
<td align="center" valign="top">2,812 (59.43)</td>
<td align="center" valign="top">217 (59.62)</td>
<td align="center" valign="top">2,275 (67.05)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Recreational activities (%)</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td align="center" valign="top"><bold>0.000</bold></td>
</tr>
<tr>
<td align="left" valign="top">Yes</td>
<td align="center" valign="top">3,918 (41.94)</td>
<td align="center" valign="top">308 (36.07)</td>
<td align="center" valign="top">1,823 (38.52)</td>
<td align="center" valign="top">156 (42.86)</td>
<td align="center" valign="top">1,631 (48.07)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="center" valign="top">5,425 (58.06)</td>
<td align="center" valign="top">546 (63.93)</td>
<td align="center" valign="top">2,909 (61.48)</td>
<td align="center" valign="top">208 (57.14)</td>
<td align="center" valign="top">1,762 (51.93)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Income (%)</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td align="center" valign="top"><bold>0.000</bold></td>
</tr>
<tr>
<td align="left" valign="top">&#x003C;5</td>
<td align="center" valign="top">7,730 (82.74)</td>
<td align="center" valign="top">757 (88.64)</td>
<td align="center" valign="top">3,971 (83.92)</td>
<td align="center" valign="top">315 (86.54)</td>
<td align="center" valign="top">2,687 (79.19)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x2265;5</td>
<td align="center" valign="top">1,613 (17.26)</td>
<td align="center" valign="top">97 (11.36)</td>
<td align="center" valign="top">761 (16.08)</td>
<td align="center" valign="top">49 (13.46)</td>
<td align="center" valign="top">706 (20.81)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Alcohol (%)</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td align="center" valign="top"><bold>0.000</bold></td>
</tr>
<tr>
<td align="left" valign="top">&#x003C;5</td>
<td align="center" valign="top">7,534 (80.64)</td>
<td align="center" valign="top">730 (85.48)</td>
<td align="center" valign="top">3,801 (80.33)</td>
<td align="center" valign="top">309 (84.89)</td>
<td align="center" valign="top">2,694 (79.40)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x2265;5</td>
<td align="center" valign="top">1,809 (19.36)</td>
<td align="center" valign="top">124 (14.52)</td>
<td align="center" valign="top">931 (19.67)</td>
<td align="center" valign="top">55 (15.11)</td>
<td align="center" valign="top">699 (20.60)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Caffeine (%)</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td align="center" valign="top"><bold>0.000</bold></td>
</tr>
<tr>
<td align="left" valign="top">&#x003C;120</td>
<td align="center" valign="top">5,804 (62.12)</td>
<td align="center" valign="top">556 (65.11)</td>
<td align="center" valign="top">2,730 (57.69)</td>
<td align="center" valign="top">281 (77.20)</td>
<td align="center" valign="top">2,237 (65.93)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x2265;120</td>
<td align="center" valign="top">3,539 (37.88)</td>
<td align="center" valign="top">298 (34.89)</td>
<td align="center" valign="top">2,002 (42.31)</td>
<td align="center" valign="top">83 (22.80)</td>
<td align="center" valign="top">1,156 (34.07)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Sodium (%)</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td align="center" valign="top"><bold>0.000</bold></td>
</tr>
<tr>
<td align="left" valign="top">&#x003C;3,000</td>
<td align="center" valign="top">5,417 (57.98)</td>
<td align="center" valign="top">835 (97.78)</td>
<td align="center" valign="top">2,601 (54.97)</td>
<td align="center" valign="top">353 (96.98)</td>
<td align="center" valign="top">1,628 (47.98)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x2265;3,000</td>
<td align="center" valign="top">3,926 (42.02)</td>
<td align="center" valign="top">19 (2.22)</td>
<td align="center" valign="top">2,131 (45.03)</td>
<td align="center" valign="top">11 (3.02)</td>
<td align="center" valign="top">1,765 (52.02)</td>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>Bold values indicate statistical significance.</p>
</table-wrap-foot>
</table-wrap>
<p>After conducting a chi-square test, which is used to assess whether the distribution of a given categorical variable (e.g., age group, education level) differs significantly among the four groups (Group 1 to Group 4), we found that the demographic distribution was relatively balanced across different characteristics, as shown in <xref ref-type="table" rid="tab2">Table 2</xref>, with the data rounded to two decimal places. For example, about 52.00% of participants were aged 50&#x202F;years or younger. Regarding ethnicity, 39.24% of participants were Non-Hispanic White. In terms of education, 38.64% had up to a high school education.</p>
</sec>
<sec id="sec13">
<title>Association of Vitamin C and Selenium individually with hypertension</title>
<p>The individual effects of Vitamin C and Selenium on hypertension serve as a critical foundation for our investigation of their interaction. First, we validated previous research on the independent relationships between hypertension and Vitamin C, as well as Selenium, using participants&#x2019; data. The results were consistent with the prior findings that Vitamin C and Selenium have positive effects on preventing hypertension for the percentage of hypertension by quartiles of each nutrient exhibits a negative correlation, as shown in <xref ref-type="fig" rid="fig2">Figure 2</xref>.</p>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption>
<p>Hypertension rate by quartiles.</p>
</caption>
<graphic xlink:href="fnut-12-1534535-g002.tif"/>
</fig>
<p><xref ref-type="table" rid="tab3">Table 3</xref> presents the results of the logistic regression analysis for these independent relationships. It shows that in all three models, both Vitamin C and Selenium had <italic>p</italic>-values below 0.05, indicating statistically significant associations with hypertension. Additionally, the odds ratios suggest a slight negative correlation between these two nutrients and hypertension.</p>
<table-wrap position="float" id="tab3">
<label>Table 3</label>
<caption>
<p>Association of Vitamin C and Selenium individually with hypertension.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th rowspan="2"/>
<th align="center" valign="top" colspan="3">Model I</th>
<th align="center" valign="top" colspan="3">Model II</th>
<th align="center" valign="top" colspan="3">Model III</th>
</tr>
<tr>
<th align="center" valign="top">Odds ratio</th>
<th align="center" valign="top">95% CI</th>
<th align="center" valign="top"><italic>p</italic>-value</th>
<th align="center" valign="top">Odds ratio</th>
<th align="center" valign="top">95% CI</th>
<th align="center" valign="top"><italic>p</italic>-value</th>
<th align="center" valign="top">Odds ratio</th>
<th align="center" valign="top">95% CI</th>
<th align="center" valign="top"><italic>p</italic>-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Vitamin C</td>
<td align="center" valign="top">0.999</td>
<td align="center" valign="top">0.998,0.999</td>
<td align="center" valign="top"><bold>0.000</bold></td>
<td align="center" valign="top">0.999</td>
<td align="center" valign="top">0.998, 1.000</td>
<td align="center" valign="top"><bold>0.001</bold></td>
<td align="center" valign="top">0.999</td>
<td align="center" valign="top">0.998, 0.999</td>
<td align="center" valign="top"><bold>0.000</bold></td>
</tr>
<tr>
<td align="left" valign="top">Selenium</td>
<td align="center" valign="top">0.999</td>
<td align="center" valign="top">0.997,1.000</td>
<td align="center" valign="top"><bold>0.006</bold></td>
<td align="center" valign="top">0.999</td>
<td align="center" valign="top">0.998, 1.000</td>
<td align="center" valign="top"><bold>0.033</bold></td>
<td align="center" valign="top">0.998</td>
<td align="center" valign="top">0.997, 1.000</td>
<td align="center" valign="top"><bold>0.025</bold></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>Model I: adjusted for age, race.</p>
<p>Model II: adjusted for recreational activities, education level, income on the base of Model I.</p>
<p>Model III: adjusted for alcohol, caffeine, sodium on the base of Model II.Bold values indicate statistical significance.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec14">
<title>Association between the interaction of Vitamin C and Selenium with hypertension</title>
<p>To analyze the interactive effect of Vitamin C and Selenium with hypertension, we categorized participants into four groups based on the recommended intake levels of these two nutrients. The interaction between these groupings and hypertension was then analyzed using the RERI method, with the results shown in <xref ref-type="table" rid="tab4">Table 4</xref>.</p>
<table-wrap position="float" id="tab4">
<label>Table 4</label>
<caption>
<p>Interactive analysis.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th align="center" valign="top">ERR</th>
<th align="center" valign="top">EIM Std.err.</th>
<th align="center" valign="top">95% CI</th>
<th align="center" valign="top"><italic>p</italic>-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Group 2</td>
<td align="center" valign="top">0.080</td>
<td align="center" valign="top">0. 043</td>
<td align="center" valign="top">&#x2212;0.000,0.167</td>
<td align="center" valign="top">0.051</td>
</tr>
<tr>
<td align="left" valign="top">Group 3</td>
<td align="center" valign="top">&#x2212;0.043</td>
<td align="center" valign="top">0.025</td>
<td align="center" valign="top">&#x2212;0.091,0.006</td>
<td align="center" valign="top">0.085</td>
</tr>
<tr>
<td align="left" valign="top">Group 4</td>
<td align="center" valign="top">&#x2212;0.100</td>
<td align="center" valign="top">0.024</td>
<td align="center" valign="top">&#x2212;0.147,-0.051</td>
<td align="center" valign="top"><bold>0.000</bold></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>Group 2: Vitamin C intake is above the recommended value, Selenium intake is below the recommended value.</p>
<p>Group 3: Vitamin C intake is below the recommended value, Selenium intake is above the recommended value.</p>
<p>Group 4: Vitamin C intake is above the recommended value, Selenium intake is above the recommended value.</p>
</table-wrap-foot>
</table-wrap>
<p>Notably, the <italic>p</italic>-value for Group 4 is well below 0.05, indicating that the result is statistically significant, which provides statistical support for the role of combined Vitamin C and Selenium intake in association with a lower risk of hypertension. However, from the perspective of excess relative risk (ERR), the value for Group 4 is close to &#x2212;0.1, indicating that when both Vitamin C and Selenium intake exceed the recommended levels, the effect of their combined intake could be less beneficial or even worse than the individual intake of each nutrient concurrently.</p>
</sec>
</sec>
<sec sec-type="discussion" id="sec15">
<title>Discussion</title>
<p>While previous studies have examined the independent effects of Vitamin C and Selenium on cardiovascular health, there has been limited research on investigating their combined interaction effect on hypertension. This study aims to bridge this research gap by analyzing how the interaction of Vitamin C and Selenium intake affects hypertension among women in the United States using NHANES data from 2011 to 2020.</p>
<p>This research demonstrates that women with Vitamin C and Selenium intake individually showed significantly lower risk of developing hypertension compared to those with deficient intake of the nutrients. The result notably supports previous studies on the correlation between the intake of Vitamin C and Selenium on hypertension separately. Furthermore, it articulates that the interaction of Vitamin C and Selenium is associated with lower blood pressure among women in the United States, although no synergistic effect was observed and its causation cannot be definitively established.</p>
<p>Our findings both support and extend previous research on the role of Selenium in human health, which received less attention compared to Vitamin C. In the early 1990s, research showed that there is an association between serum Selenium levels and cardiovascular disease in populations that exhibit low Selenium concentrations (<xref ref-type="bibr" rid="ref17">17</xref>). A study in 2007 found that consuming more foods rich in Selenium could have positive effects on human health, especially cancer prevention (<xref ref-type="bibr" rid="ref18">18</xref>). In 2012, a study on Selenium and human health found that when Selenium is integrated into selenoproteins, it exerts a variety of pleiotropic effects, including antioxidant and anti-inflammatory actions, as well as the production of active thyroid hormones (<xref ref-type="bibr" rid="ref19">19</xref>).</p>
<p>Nevertheless, most of the studies reviewed the relationship between Selenium consumption and human health. The interaction of other nutrients and their mechanisms still needs to be further explored. For example, a previous study concluded that the elevated blood pressure and higher prevalence of hypertension at high Selenium levels observed in the NHANES 2003&#x2013;2004 study align with earlier research (<xref ref-type="bibr" rid="ref20">20</xref>). It is important to note that high Selenium levels can have toxic effects, potentially leading to adverse health outcomes including selenosis, gastrointestinal disorders, and neurological complications which highlights the complexity of its role in human health (<xref ref-type="bibr" rid="ref21">21</xref>). The interaction between diverse nutrients and Selenium on specific diseases still lacks enough attention from scholars, which remains an area that requires further accelerated expedition in the future.</p>
<p>Several limitations should be considered when interpreting these results. From the perspective of data transparency, this study obtained data from NHANES between 2011 and 2020, which consists of unilateral state samples, with certain demographic groups or geographic regions are underrepresented or excluded from the survey, potentially causing a dearth of validation and pervasiveness worldwide. In addition, the accuracy and reliability of some self-reported data like health behaviors, dietary intake, and blood pressure in NHANES may be affected by recall bias or social desirability bias, which could lead to misclassification or underestimation of the true associations between nutrients and hypertension. Moreover, the use of cross-sectional data from NHANES restricts the ability to establish causal relationships between the intake of Vitamin C and Selenium and hypertension among the life course population in the United States, making infants, children, and adolescents neglected. Furthermore, while the large sample size provides statistical power, it may also detect very small effects that, although statistically significant, might not be clinically meaningful or could be due to chance rather than true associations.</p>
</sec>
<sec sec-type="conclusions" id="sec16">
<title>Conclusion</title>
<p>In conclusion, our findings provide evidence that the combination of adequate Vitamin C and Selenium intake is associated with lower hypertension risk among U.S. women, suggesting that considering nutrient interactions, may be crucial for understanding and managing hypertension. This highlights the need for a more comprehensive approach to studying nutrient interactions in disease prevention, including their potential synergistic or antagonistic effects.</p>
<p>Future research should focus on longitudinal studies to validate these results and explore the underlying mechanisms of interacted effect between these nutrients and hypertension. Such studies would also benefit from including diverse populations to enhance the generalizability of the findings and provide clearer guidelines for hypertension prevention through nutrition.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="sec17">
<title>Data availability statement</title>
<p>The original data presented in the study can be found at <ext-link xlink:href="https://wwwn.cdc.gov/nchs/nhanes" ext-link-type="uri">https://wwwn.cdc.gov/nchs/nhanes</ext-link>.</p>
</sec>
<sec sec-type="ethics-statement" id="sec18">
<title>Ethics statement</title>
<p>Ethical review and approval were obtained from the Duke Kunshan University Institutional Review Board (No. FWA00021580) under protocol number 2024DW189. Written informed consent for participation was not required from the participants or the participants&#x2019; legal guardians/next of kin in accordance with the national legislation and institutional requirements.</p>
</sec>
<sec sec-type="author-contributions" id="sec19">
<title>Author contributions</title>
<p>DW: Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. PF: Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. SC: Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing.</p>
</sec>
<sec sec-type="funding-information" id="sec20">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research and/or publication of this article. The research results of this article are sponsored by E Fund Global Health Lab.</p>
</sec>
<ack>
<p>We are grateful to Prof. Chenkai Wu for his professional guidance on the overall structure of the manuscript. We extend our gratitude to Jianhong Xu for his support in data analysis. Additionally, we acknowledge the Duke University Thompson Writing Studio for their assistance in enhancing the quality of the manuscript.</p>
</ack>
<sec sec-type="COI-statement" id="sec21">
<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="ai-statement" id="sec22">
<title>Generative AI statement</title>
<p>The authors declare that no Gen AI was used in the creation of this manuscript.</p>
</sec>
<sec sec-type="disclaimer" id="sec23">
<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>
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