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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Nutr.</journal-id>
<journal-title>Frontiers in Nutrition</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Nutr.</abbrev-journal-title>
<issn pub-type="epub">2296-861X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fnut.2024.1507503</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 serum carotenoids levels and severe headache or migraine in adults: a cross-sectional study from NHANES</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Hu</surname> <given-names>Tian</given-names></name>
<uri xlink:href="https://loop.frontiersin.org/people/2862376/overview"/>
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<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<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>Chen</surname> <given-names>Yufei</given-names></name>
<role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/>
<role content-type="https://credit.niso.org/contributor-roles/funding-acquisition/"/>
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</contrib>
<contrib contrib-type="author">
<name><surname>Chen</surname> <given-names>Siyu</given-names></name>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
<role content-type="https://credit.niso.org/contributor-roles/software/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Xue</surname> <given-names>Rui</given-names></name>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
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</contrib-group>
<aff><institution>Department of Anesthesiology, Renmin Hospital, Hubei University of Medicine</institution>, <addr-line>Shiyan, Hubei</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by" id="fn0001">
<p>Edited by: Malgorzata Rozanowska, Cardiff University, United Kingdom</p>
</fn>
<fn fn-type="edited-by" id="fn0002">
<p>Reviewed by: Johra Khan, Majmaah University, Saudi Arabia</p>
<p>Giacomo Di Matteo, Sapienza University of Rome, Italy</p>
</fn>
<corresp id="c001">&#x002A;Correspondence: Rui Xue, <email>xuerui1106@126.com</email></corresp>
</author-notes>
<pub-date pub-type="epub">
<day>06</day>
<month>01</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2024</year>
</pub-date>
<volume>11</volume>
<elocation-id>1507503</elocation-id>
<history>
<date date-type="received">
<day>07</day>
<month>10</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>16</day>
<month>12</month>
<year>2024</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2025 Hu, Chen, Chen and Xue.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Hu, Chen, Chen and Xue</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>Carotenoids are well-established for their potent antioxidant properties; however, their potential association with severe headaches or migraines remains largely unexamined. This study was conducted to explore the relationship between serum carotenoid levels and the prevalence of severe headaches or migraines within the US population.</p>
</sec>
<sec id="sec2">
<title>Methods</title>
<p>We utilized data from the 2001&#x2013;2004 National Health and Nutrition Examination Survey (NHANES), which comprised a total of 8,910 participants. Serum carotenoid levels&#x2014;specifically <italic>&#x03B1;</italic>-carotene, <italic>&#x03B2;</italic>-carotene, &#x03B2;-cryptoxanthin, lutein/zeaxanthin, and lycopene&#x2014;were quantified using high-performance liquid chromatography. Migraine status was determined based on a questionnaire. The research methodologies employed included multivariate logistic regression, subgroup analysis, and restricted cubic spline (RCS) models.</p>
</sec>
<sec id="sec3">
<title>Results</title>
<p>The prevalence of migraines in the study population was 22.37%. Multivariate logistic regression analysis indicated that serum concentrations of <italic>&#x03B1;</italic>-carotene (OR&#x202F;=&#x202F;0.91, 95% CI: 0.85&#x2013;0.97), <italic>&#x03B2;</italic>-carotene (OR&#x202F;=&#x202F;0.88, 95% CI: 0.81&#x2013;0.94), &#x03B2;-cryptoxanthin (OR&#x202F;=&#x202F;0.83, 95% CI: 0.76&#x2013;0.90), lutein/zeaxanthin (OR&#x202F;=&#x202F;0.75, 95% CI: 0.67&#x2013;0.85), and total carotenoids (OR&#x202F;=&#x202F;0.79, 95% CI: 0.70&#x2013;0.90) were significantly inversely correlated with severe headaches or migraines; however, no significant association was found for lycopene levels. RCS analysis showed that <italic>&#x03B2;</italic>-cryptoxanthin had an L-shaped non-linear relationship with migraine prevalence at a threshold of approximately 9.392&#x202F;&#x03BC;g/dL, while subgroup analyses confirmed the consistent inverse association between total serum carotenoid concentrations and migraine prevalence across various groups.</p>
</sec>
<sec id="sec4">
<title>Conclusion</title>
<p>Serum concentrations of <italic>&#x03B1;</italic>-carotene, <italic>&#x03B2;</italic>-carotene, &#x03B2;-cryptoxanthin, lutein/zeaxanthin, and total serum carotenoids were inversely correlated with the incidence of severe headaches or migraines in US adults. This evidence indicates that carotenoids may provide a protective effect against migraines; however, further investigation is warranted to substantiate these associations and to elucidate the underlying mechanisms.</p>
</sec>
</abstract>
<kwd-group>
<kwd>migraine</kwd>
<kwd>carotenoid</kwd>
<kwd>NHANES</kwd>
<kwd>cross-sectional study</kwd>
<kwd><italic>&#x03B1;</italic>-carotene</kwd>
</kwd-group>
<counts>
<fig-count count="3"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="37"/>
<page-count count="11"/>
<word-count count="5460"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Nutrition and Metabolism</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="sec5">
<label>1</label>
<title>Background</title>
<p>Migraine is a highly prevalent and debilitating neurological disorder, affecting more than 1.5 billion people worldwide, with a higher prevalence in women (<xref ref-type="bibr" rid="ref1 ref2 ref3">1&#x2013;3</xref>). The most common symptom of a migraine is a throbbing headache that comes on repeatedly. Other symptoms include light or sound sensitivity, nausea, and vomiting (<xref ref-type="bibr" rid="ref4">4</xref>, <xref ref-type="bibr" rid="ref5">5</xref>). These debilitating symptoms not only cause significant suffering for patients but also result in substantial economic burdens due to absenteeism and reduced productivity. In the U.S. alone, the direct and indirect costs associated with migraines are estimated to exceed $20 billion annually (<xref ref-type="bibr" rid="ref6">6</xref>). While the precise pathophysiological mechanisms underlying migraines are still unknown, an increasing body of research indicates that oxidative stress is a major factor in the etiology of migraines (<xref ref-type="bibr" rid="ref7">7</xref>, <xref ref-type="bibr" rid="ref8">8</xref>). Free radicals and the body&#x2019;s antioxidant defenses are out of balance, which leads to oxidative stress, and can lead to cellular damage, inflammatory responses, and abnormal vasoconstriction and vasodilation, which are thought to trigger migraines (<xref ref-type="bibr" rid="ref9">9</xref>, <xref ref-type="bibr" rid="ref10">10</xref>). Studies have shown that oxidative stress markers are elevated in individuals with migraines, while antioxidant levels tend to be lower (<xref ref-type="bibr" rid="ref11">11</xref>). Therefore, nutrients with antioxidant properties, such as carotenoids, may potentially exert a protective effect by reducing the occurrence or severity of migraines.</p>
<p>Carotenoids are natural pigments found in plants that possess strong antioxidant and anti-inflammatory properties. Their physiological functions are primarily achieved by scavenging free radicals, reducing oxidative stress, and enhancing immune function (<xref ref-type="bibr" rid="ref12">12</xref>, <xref ref-type="bibr" rid="ref13">13</xref>). Multiple research studies indicate that carotenoids have a negative correlation with the likelihood of developing chronic illnesses such as cardiovascular diseases, specific forms of cancer, and age-related macular degeneration (<xref ref-type="bibr" rid="ref14 ref15 ref16">14&#x2013;16</xref>). One example is the significant association between elevated serum levels of <italic>&#x03B2;</italic>-carotene and a decreased likelihood of developing cardiovascular disease (<xref ref-type="bibr" rid="ref17">17</xref>). Additionally, Carotenoids like lutein and zeaxanthin have been shown to protect the eyes, particularly by defending against age-related ocular diseases (<xref ref-type="bibr" rid="ref18">18</xref>). Although these health benefits are well-established, the specific relationship between carotenoid levels and neurological disorders, including severe headaches and migraines, remains insufficiently understood.</p>
<p>Our research aims to analyze the correlation between levels of serum carotenoids and the prevalence of severe headaches or migraines using data from the 2001&#x2013;2004 NHANES, offering new insights into the potential role of nutritional interventions in migraine management.</p>
</sec>
<sec sec-type="materials|methods" id="sec6">
<label>2</label>
<title>Materials and methods</title>
<sec id="sec7">
<label>2.1</label>
<title>Data sources and study population</title>
<p>NHANES is a thorough survey conducted across the entire United States by the National Center for Health Statistics (NCHS) with the goal of precisely evaluating the health and nutritional status of the American population. We used data from NHANES 2001&#x2013;2004, initially including 21,161 participants in the study. The criteria for exclusion were the following: (1) participants under 20&#x202F;years of age (<italic>n</italic>&#x202F;=&#x202F;10,709); (2) participants missing migraine data (<italic>n</italic>&#x202F;=&#x202F;4); (3) participants missing carotenoid data (<italic>n</italic>&#x202F;=&#x202F;1,315); (4) participants missing educational attainment data (<italic>n</italic>&#x202F;=&#x202F;14); (5) participants with incomplete marital status information (<italic>n</italic>&#x202F;=&#x202F;3); (6) participants with incomplete smoking status information (<italic>n</italic>&#x202F;=&#x202F;6); (7) participants missing hypertension data (<italic>n</italic>&#x202F;=&#x202F;95); (8) participants missing diabetes data (<italic>n</italic>&#x202F;=&#x202F;51); (9) participants missing stroke data (<italic>n</italic>&#x202F;=&#x202F;11); and (10) participants missing cardiovascular disease data (<italic>n</italic>&#x202F;=&#x202F;43). After applying these criteria, the final analysis included a total of 8,910 individuals (<xref ref-type="fig" rid="fig1">Figure 1</xref>).</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>Flow chart of the study population.</p>
</caption>
<graphic xlink:href="fnut-11-1507503-g001.tif"/>
</fig>
</sec>
<sec id="sec8">
<label>2.2</label>
<title>Measurement of serum carotenoids</title>
<p>Fasting blood samples were obtained using red-top or royal blue-top Vacutainer<sup>&#x00AE;</sup> tubes, frozen at &#x2212;70&#x00B0;C, and transported with dry ice to the National Center for Environmental Health for analysis of serum carotenoid levels. High-performance liquid chromatography (HPLC) with photodiode array detection was utilized to measure serum carotenoids including <italic>&#x03B1;</italic>-carotene, <italic>&#x03B2;</italic>-carotene, &#x03B2;-cryptoxanthin, lycopene, and lutein/zeaxanthin. We then quantified and summed the five serum carotenoids to define total carotenoids and assess their overall effect (<xref ref-type="bibr" rid="ref19">19</xref>, <xref ref-type="bibr" rid="ref20">20</xref>). National Health and Nutrition Examination Survey. Laboratory Procedure Manual: Fat Soluble Micronutrients, 2008. Available at: <ext-link xlink:href="https://www.cdc.gov/nchs/data/nhanes/nhanes_03_04/l45vit_c_met_vitae_carotenoids.pdf" ext-link-type="uri">https://www.cdc.gov/nchs/data/nhanes/nhanes_03_04/l45vit_c_met_vitae_carotenoids.pdf</ext-link>.</p>
</sec>
<sec id="sec9">
<label>2.3</label>
<title>Assessment of severe headache or migraine</title>
<p>The criteria for including migraines were based on the pain section of the NHANES self-assessment questionnaire. In the pain questionnaire (MPQ-090), individuals who answered affirmatively to the question, &#x201C;Have you experienced severe headaches or migraines in the past 3&#x202F;months?&#x201D; were classified as migraine patients. Previous studies have validated the robustness of these findings (<xref ref-type="bibr" rid="ref21 ref22 ref23">21&#x2013;23</xref>).</p>
</sec>
<sec id="sec10">
<label>2.4</label>
<title>Covariates</title>
<p>In this research, the variables considered were gender (male/female), age, and ethnicity (Mexican American, other Hispanic, non-Hispanic white, non-Hispanic Black, and other races). Educational achievement was categorized as less than high school, high school graduate, and more than high school. Marital status was grouped as never married, married/living with a partner, or widowed/divorced/separated. The poverty income ratio (PIR) was divided into three categories: &#x003C;1.3 (low income), 1.3&#x2013;3.5 (middle income), and&#x202F;&#x003E;&#x202F;3.5 (high income). Body mass index (BMI) was classified into three groups: &#x003C;25&#x202F;kg/m<sup>2</sup>, 25&#x2013;30&#x202F;kg/m<sup>2</sup>, and&#x202F;&#x2265;&#x202F;30&#x202F;kg/m<sup>2</sup>. Smoking status was identified as current smokers (&#x2265;100 cigarettes smoked and currently smoking) and never smokers (&#x2264;100 cigarettes smoked or never having smoked). A drinker was defined as an individual who had consumed at least 12 alcoholic beverages in any given year of their life. Diabetes was defined as either a doctor-diagnosed condition or a fasting blood glucose level&#x202F;&#x2265;&#x202F;126&#x202F;mg/dL. Hypertension was characterized by a history of diagnosis, current use of antihypertensive medication, or an average of three blood pressure readings &#x2265;140/90&#x202F;mmHg. Stroke status was recorded as &#x201C;yes&#x201D; or &#x201C;no.&#x201D; CVD encompassed a history of congestive heart failure coronary artery disease angina pectoris or myocardial infarction.</p>
</sec>
<sec id="sec11">
<label>2.5</label>
<title>Statistical analyses</title>
<p>Statistical analyses were performed following the data analysis guidelines provided by NHANES, utilizing appropriate NHANES complex multistage sampling weights. Survey-weighted means (95% CI) were reported for continuous variables, and survey-weighted percentages (95% CI) were reported for categorical variables. Weighted linear regression or weighted chi-square tests were utilized to compare the migraine and non-migraine groups. Skewed serum carotenoid levels were transformed using a natural logarithm (ln) to approximate a normal distribution.</p>
<p>This study employed three weighted logistic regression models to investigate the association between serum carotenoids and severe headaches or migraines. Model 1 was unadjusted. Model 2 was adjusted for age, sex, and race/ethnicity. Model 3 was further adjusted, in addition to the covariates in Model 2, for education level, marital status, BMI, PIR, smoking, alcohol consumption, diabetes, hypertension, cardiovascular disease, and stroke. After adjusting for these covariates, the study employed restricted cubic splines (RCS) to examine the nonlinear association between serum carotenoids and migraines. Subgroup analyses and interaction tests were conducted to assess the potential confounding factors listed in the baseline table, exploring variations in the associations across subgroups. Statistical analyses were performed using R (version 4.3.3), with significance set at <italic>p</italic>&#x202F;&#x003C;&#x202F;0.05.</p>
</sec>
</sec>
<sec sec-type="results" id="sec12">
<label>3</label>
<title>Results</title>
<sec id="sec13">
<label>3.1</label>
<title>Baseline characteristics of the study population</title>
<p>A study was conducted with a total of 8,910 individuals participating, with a weighted prevalence of migraine at 22.37% (20.84, 23.97%). Compared with non-migraine patients, migraine patients had significantly lower levels of <italic>&#x03B1;</italic>-carotene, <italic>&#x03B2;</italic>-carotene, &#x03B2;-cryptoxanthin, lutein/zeaxanthin, and total carotenoids, with respective levels of 3.26 (2.97, 3.56) &#x03BC;g/dL, 14.94 (13.97, 15.90) &#x03BC;g/dL, 7.80 (7.29, 8.32) &#x03BC;g/dL, 13.74 (13.20, 14.27) &#x03BC;g/dL, and 62.77 (60.10, 65.44) &#x03BC;g/dL, all showing significant differences between groups (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.01). Additionally, the migraine group had a higher proportion of male patients, individuals with primary or high school education, those who were widowed/divorced/separated, PIR &#x003C;3.5, BMI &#x2265;30, smokers, and those with hypertension, with all showing significant differences between groups (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.01) (<xref ref-type="table" rid="tab1">Table 1</xref>).</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>Weighted baseline characteristics of the study population.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Characteristics</th>
<th align="center" valign="top">Total (<italic>n</italic> =&#x202F;8,910)</th>
<th align="center" valign="top">Non-migraine (<italic>n</italic> =&#x202F;7,078)</th>
<th align="center" valign="top">Migraine (<italic>n</italic> =&#x202F;1832)</th>
<th align="center" valign="top"><italic>P</italic>-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">Age (years)</td>
<td align="center" valign="middle">45.87 (45.15,46.58)</td>
<td align="center" valign="middle">47.10 (46.22,47.97)</td>
<td align="center" valign="middle">41.60 (40.79,42.41)</td>
<td align="center" valign="middle">&#x003C;0.0001</td>
</tr>
<tr>
<td align="left" valign="middle">Gender (%)</td>
<td/>
<td/>
<td/>
<td align="center" valign="middle">&#x003C;0.0001</td>
</tr>
<tr>
<td align="left" valign="middle">Male</td>
<td align="center" valign="middle">47.93 (47.04,48.82)</td>
<td align="center" valign="middle">52.06 (50.99,53.14)</td>
<td align="center" valign="middle">33.59 (31.44,35.82)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Female</td>
<td align="center" valign="middle">52.07 (51.18,52.96)</td>
<td align="center" valign="middle">47.94 (46.86,49.01)</td>
<td align="center" valign="middle">66.41 (64.18,68.56)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Race (%)</td>
<td/>
<td/>
<td/>
<td align="center" valign="middle">0.2740</td>
</tr>
<tr>
<td align="left" valign="middle">Mexican American</td>
<td align="center" valign="middle">7.24 (5.33,9.75)</td>
<td align="center" valign="middle">7.13 (5.26,9.60)</td>
<td align="center" valign="middle">7.61 (5.42,10.59)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Other Hispanic</td>
<td align="center" valign="middle">4.62 (2.95,7.17)</td>
<td align="center" valign="middle">4.38 (2.99,6.40)</td>
<td align="center" valign="middle">5.43 (2.70,10.62)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Non-Hispanic White</td>
<td align="center" valign="middle">72.83 (68.31,76.92)</td>
<td align="center" valign="middle">73.53 (69.10,77.52)</td>
<td align="center" valign="middle">70.40 (64.62,75.59)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Non-Hispanic Black</td>
<td align="center" valign="middle">10.59 (8.34,13.36)</td>
<td align="center" valign="middle">10.24 (8.04,12.96)</td>
<td align="center" valign="middle">11.80 (8.97,15.36)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Other Race</td>
<td align="center" valign="middle">4.73 (3.84,5.81)</td>
<td align="center" valign="middle">4.72 (3.80,5.85)</td>
<td align="center" valign="middle">4.76 (3.37,6.68)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Education level (%)</td>
<td/>
<td/>
<td/>
<td align="center" valign="middle">0.0053</td>
</tr>
<tr>
<td align="left" valign="middle">Less than high school</td>
<td align="center" valign="middle">18.19 (16.71,19.78)</td>
<td align="center" valign="middle">17.29 (15.65,19.07)</td>
<td align="center" valign="middle">21.31 (19.15,23.65)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">High school</td>
<td align="center" valign="middle">26.13 (24.68,27.63)</td>
<td align="center" valign="middle">25.94 (24.27,27.67)</td>
<td align="center" valign="middle">26.78 (24.01,29.74)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">More than high school</td>
<td align="center" valign="middle">55.68 (53.54,57.80)</td>
<td align="center" valign="middle">56.77 (54.23,59.27)</td>
<td align="center" valign="middle">51.91 (48.53,55.28)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Marital status (%)</td>
<td/>
<td/>
<td/>
<td align="center" valign="middle">0.3068</td>
</tr>
<tr>
<td align="left" valign="middle">Never married</td>
<td align="center" valign="middle">16.87 (14.97,18.97)</td>
<td align="center" valign="middle">16.51 (14.56,18.67)</td>
<td align="center" valign="middle">18.14 (15.31,21.35)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Married/Living with partner</td>
<td align="center" valign="middle">65.07 (63.32,66.78)</td>
<td align="center" valign="middle">65.57 (63.59,67.49)</td>
<td align="center" valign="middle">63.34 (60.27,66.31)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Widowed/divorced/Separated</td>
<td align="center" valign="middle">18.06 (16.78,19.41)</td>
<td align="center" valign="middle">17.92 (16.53,19.40)</td>
<td align="center" valign="middle">18.52 (16.42,20.83)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">PIR (%)</td>
<td/>
<td/>
<td/>
<td align="center" valign="middle">&#x003C;0.0001</td>
</tr>
<tr>
<td align="left" valign="middle">&#x202F;&#x003C;&#x202F;1.3</td>
<td align="center" valign="middle">20.99 (18.82,23.33)</td>
<td align="center" valign="middle">18.57 (16.41,20.95)</td>
<td align="center" valign="middle">29.36 (26.21,32.71)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">1.3&#x2013;3.5</td>
<td align="center" valign="middle">35.71 (33.97,37.48)</td>
<td align="center" valign="middle">35.31 (33.40,37.27)</td>
<td align="center" valign="middle">37.08 (33.72,40.57)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">&#x202F;&#x2265;&#x202F;3.5</td>
<td align="center" valign="middle">43.31 (40.54,46.12)</td>
<td align="center" valign="middle">46.12 (42.94,49.32)</td>
<td align="center" valign="middle">33.56 (30.43,36.84)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">BMI (%)</td>
<td/>
<td/>
<td/>
<td align="center" valign="middle">0.0002</td>
</tr>
<tr>
<td align="left" valign="middle">&#x202F;&#x003C;&#x202F;25</td>
<td align="center" valign="middle">34.17 (32.97,35.40)</td>
<td align="center" valign="middle">34.28 (32.87,35.72)</td>
<td align="center" valign="middle">33.80 (31.83,35.83)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">25&#x2013;30</td>
<td align="center" valign="middle">34.83 (33.22,36.47)</td>
<td align="center" valign="middle">35.94 (34.01,37.91)</td>
<td align="center" valign="middle">30.98 (28.36,33.73)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">&#x202F;&#x2265;&#x202F;30</td>
<td align="center" valign="middle">31.00 (29.38,32.67)</td>
<td align="center" valign="middle">29.78 (28.14,31.48)</td>
<td align="center" valign="middle">35.22 (32.00,38.58)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Smoking status (%)</td>
<td/>
<td/>
<td/>
<td align="center" valign="middle">0.2104</td>
</tr>
<tr>
<td align="left" valign="middle">No</td>
<td align="center" valign="middle">49.83 (47.63,52.02)</td>
<td align="center" valign="middle">50.26 (48.13,52.40)</td>
<td align="center" valign="middle">48.31 (44.65,51.98)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Yes</td>
<td align="center" valign="middle">50.17 (47.98,52.37)</td>
<td align="center" valign="middle">49.74 (47.60,51.87)</td>
<td align="center" valign="middle">51.69 (48.02,55.35)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Alcohol intake (%)</td>
<td/>
<td/>
<td/>
<td align="center" valign="middle">0.0174</td>
</tr>
<tr>
<td align="left" valign="middle">No</td>
<td align="center" valign="middle">28.56 (24.81,32.63)</td>
<td align="center" valign="middle">27.72 (24.11,31.65)</td>
<td align="center" valign="middle">31.47 (26.50,36.91)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Yes</td>
<td align="center" valign="middle">71.44 (67.37,75.19)</td>
<td align="center" valign="middle">72.28 (68.35,75.89)</td>
<td align="center" valign="middle">68.53 (63.09,73.50)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Hypertension (%)</td>
<td/>
<td/>
<td/>
<td align="center" valign="middle">0.9241</td>
</tr>
<tr>
<td align="left" valign="middle">No</td>
<td align="center" valign="middle">72.26 (70.27,74.17)</td>
<td align="center" valign="middle">72.28 (70.30,74.18)</td>
<td align="center" valign="middle">72.18 (69.30,74.88)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Yes</td>
<td align="center" valign="middle">27.74 (25.83,29.73)</td>
<td align="center" valign="middle">27.72 (25.82,29.70)</td>
<td align="center" valign="middle">27.82 (25.12,30.70)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Diabetes (%)</td>
<td/>
<td/>
<td/>
<td align="center" valign="middle">0.0013</td>
</tr>
<tr>
<td align="left" valign="middle">No</td>
<td align="center" valign="middle">90.25 (89.30,91.12)</td>
<td align="center" valign="middle">89.81 (88.79,90.76)</td>
<td align="center" valign="middle">91.76 (90.47,92.89)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Yes</td>
<td align="center" valign="middle">9.75 (8.88,10.70)</td>
<td align="center" valign="middle">10.19 (9.24,11.21)</td>
<td align="center" valign="middle">8.24 (7.11,9.53)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">CVD (%)</td>
<td/>
<td/>
<td/>
<td align="center" valign="middle">0.3358</td>
</tr>
<tr>
<td align="left" valign="middle">No</td>
<td align="center" valign="middle">92.71 (91.53,93.73)</td>
<td align="center" valign="middle">92.53 (91.25,93.63)</td>
<td align="center" valign="middle">93.33 (91.50,94.79)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Yes</td>
<td align="center" valign="middle">7.29 (6.27,8.47)</td>
<td align="center" valign="middle">7.47 (6.37,8.75)</td>
<td align="center" valign="middle">6.67 (5.21,8.50)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Stroke (%)</td>
<td/>
<td/>
<td/>
<td align="center" valign="middle">0.0143</td>
</tr>
<tr>
<td align="left" valign="middle">No</td>
<td align="center" valign="middle">97.50 (97.02,97.91)</td>
<td align="center" valign="middle">97.76 (97.24,98.18)</td>
<td align="center" valign="middle">96.63 (95.51,97.47)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Yes</td>
<td align="center" valign="middle">2.50 (2.09,2.98)</td>
<td align="center" valign="middle">2.24 (1.82,2.76)</td>
<td align="center" valign="middle">3.37 (2.53,4.49)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">&#x03B1;-Carotene (&#x03BC;g/dL)</td>
<td align="center" valign="middle">3.68 (3.42,3.94)</td>
<td align="center" valign="middle">3.81 (3.55,4.06)</td>
<td align="center" valign="middle">3.26 (2.97,3.56)</td>
<td align="center" valign="middle">&#x003C;0.0001</td>
</tr>
<tr>
<td align="left" valign="middle">&#x03B2;-Carotene (&#x03BC;g/dL)</td>
<td align="center" valign="middle">16.74 (15.93,17.55)</td>
<td align="center" valign="middle">17.26 (16.45,18.07)</td>
<td align="center" valign="middle">14.94 (13.97,15.90)</td>
<td align="center" valign="middle">&#x003C;0.0001</td>
</tr>
<tr>
<td align="left" valign="middle">&#x03B2;-Cryptoxanthin (&#x03BC;g/dL)</td>
<td align="center" valign="middle">8.45 (8.09,8.82)</td>
<td align="center" valign="middle">8.64 (8.28,9.01)</td>
<td align="center" valign="middle">7.80 (7.29,8.32)</td>
<td align="center" valign="middle">0.0004</td>
</tr>
<tr>
<td align="left" valign="middle">Lutein/zeaxanthin (&#x03BC;g/dL)</td>
<td align="center" valign="middle">15.13 (14.72,15.54)</td>
<td align="center" valign="middle">15.53 (15.13,15.93)</td>
<td align="center" valign="middle">13.74 (13.20,14.27)</td>
<td align="center" valign="middle">&#x003C;0.0001</td>
</tr>
<tr>
<td align="left" valign="middle">Lycopene (&#x03BC;g/dL)</td>
<td align="center" valign="middle">22.26 (21.85,22.67)</td>
<td align="center" valign="middle">22.22 (21.79,22.65)</td>
<td align="center" valign="middle">22.39 (21.71,23.06)</td>
<td align="center" valign="middle">0.6239</td>
</tr>
<tr>
<td align="left" valign="middle">Total carotenoids (&#x03BC;g/dL)</td>
<td align="center" valign="middle">67.44 (65.42,69.46)</td>
<td align="center" valign="middle">68.79 (66.84,70.74)</td>
<td align="center" valign="middle">62.77 (60.10,65.44)</td>
<td align="center" valign="middle">&#x003C;0.0001</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>PIR, poverty income ratio; BMI, body mass index; CVD, cardiovascular disease.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec14">
<label>3.2</label>
<title>Relationship between serum carotenoids and migraine</title>
<p>The multivariate logistic regression analysis revealed an inverse relationship between migraine and serum carotenoids. After adjusting for all covariates, <italic>&#x03B1;</italic>-carotene (OR&#x202F;=&#x202F;0.91, 95% CI: 0.85&#x2013;0.97), <italic>&#x03B2;</italic>-carotene (OR&#x202F;=&#x202F;0.88, 95% CI: 0.81&#x2013;0.94), &#x03B2;-cryptoxanthin (OR&#x202F;=&#x202F;0.83, 95% CI: 0.76&#x2013;0.90), lutein/zeaxanthin (OR&#x202F;=&#x202F;0.75, 95% CI: 0.67&#x2013;0.85), and total carotenoids (OR&#x202F;=&#x202F;0.79, 95% CI: 0.70&#x2013;0.90) were significantly inversely associated with migraine. In contrast, lycopene showed no significant association with migraine (<italic>p</italic>&#x202F;&#x003E;&#x202F;0.05). Furthermore, when carotenoids were changed from being represented as continuous variables to categorical variables (quartiles), there was a notable decrease in the likelihood of migraine for participants in the highest quartile compared to those in the lowest quartile (Q1). (<italic>p</italic> for trend &#x003C;0.05) (<xref ref-type="table" rid="tab2">Table 2</xref>). Additionally, RCS analysis revealed no nonlinear association between <italic>&#x03B1;</italic>-carotene, <italic>&#x03B2;</italic>-carotene, lutein/zeaxanthin, total carotenoids, and migraine status (nonlinearity <italic>p</italic> &#x003E;&#x202F;0.05). Notably, &#x03B2;-cryptoxanthin demonstrated an L-shaped nonlinear relationship with migraine at a threshold of approximately 9.392&#x202F;&#x03BC;g/dL (nonlinearity <italic>p</italic> &#x003C;&#x202F;0.001) (<xref ref-type="fig" rid="fig2">Figure 2</xref>).</p>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption>
<p>Multivariate logistic regression analysis between serum carotenoids and migraine.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" rowspan="2">Characteristic</th>
<th align="center" valign="top" colspan="2">Model 1</th>
<th align="center" valign="top" colspan="2">Model 2</th>
<th align="center" valign="top" colspan="2">Model 3</th>
</tr>
<tr>
<th align="center" valign="top">OR (95% CI)</th>
<th align="center" valign="top"><italic>p</italic>-value</th>
<th align="center" valign="top">OR (95% CI)</th>
<th align="center" valign="top"><italic>P</italic>-value</th>
<th align="center" valign="top">OR (95% CI)</th>
<th align="center" valign="top"><italic>P</italic>-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle" colspan="7">&#x03B1;-Carotene</td>
</tr>
<tr>
<td align="left" valign="middle">Continuous</td>
<td align="center" valign="middle">0.82 (0.78, 0.87)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
<td align="center" valign="middle">0.82 (0.77, 0.88)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
<td align="center" valign="middle">0.91 (0.85, 0.97)</td>
<td align="center" valign="middle">0.005</td>
</tr>
<tr>
<td align="left" valign="middle">Q1</td>
<td align="center" valign="middle">Reference</td>
<td/>
<td align="center" valign="middle">Reference</td>
<td/>
<td align="center" valign="middle">Reference</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Q2</td>
<td align="center" valign="middle">0.88 (0.76, 1.01)</td>
<td align="center" valign="middle">0.061</td>
<td align="center" valign="middle">0.88 (0.76, 1.01)</td>
<td align="center" valign="middle">0.075</td>
<td align="center" valign="middle">0.97 (0.84, 1.13)</td>
<td align="center" valign="middle">0.709</td>
</tr>
<tr>
<td align="left" valign="middle">Q3</td>
<td align="center" valign="middle">0.73 (0.63, 0.84)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
<td align="center" valign="middle">0.75 (0.65, 0.88)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
<td align="center" valign="middle">0.89 (0.76, 1.04)</td>
<td align="center" valign="middle">0.154</td>
</tr>
<tr>
<td align="left" valign="middle">Q4</td>
<td align="center" valign="middle">0.65 (0.56, 0.75)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
<td align="center" valign="middle">0.65 (0.55, 0.75)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
<td align="center" valign="middle">0.81 (0.69, 0.96)</td>
<td align="center" valign="middle">0.015</td>
</tr>
<tr>
<td align="left" valign="middle">P for trend</td>
<td/>
<td align="center" valign="middle">&#x003C;0.001</td>
<td/>
<td align="center" valign="middle">&#x003C;0.001</td>
<td/>
<td align="center" valign="middle">0.009</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="7">&#x03B2;-Carotene</td>
</tr>
<tr>
<td align="left" valign="middle">Continuous</td>
<td align="center" valign="middle">0.79 (0.74, 0.84)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
<td align="center" valign="middle">0.80 (0.75, 0.86)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
<td align="center" valign="middle">0.88 (0.81, 0.94)</td>
<td align="center" valign="middle">0.001</td>
</tr>
<tr>
<td align="left" valign="middle">Q1</td>
<td align="center" valign="middle">Reference</td>
<td/>
<td align="center" valign="middle">Reference</td>
<td/>
<td align="center" valign="middle">Reference</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Q2</td>
<td align="center" valign="middle">0.81 (0.70, 0.93)</td>
<td align="center" valign="middle">0.002</td>
<td align="center" valign="middle">0.81 (0.70, 0.93)</td>
<td align="center" valign="middle">0.003</td>
<td align="center" valign="middle">0.87 (0.75, 1.00)</td>
<td align="center" valign="middle">0.055</td>
</tr>
<tr>
<td align="left" valign="middle">Q3</td>
<td align="center" valign="middle">0.66 (0.57, 0.77)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
<td align="center" valign="middle">0.69 (0.60, 0.80)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
<td align="center" valign="middle">0.79 (0.68, 0.93)</td>
<td align="center" valign="middle">0.004</td>
</tr>
<tr>
<td align="left" valign="middle">Q4</td>
<td align="center" valign="middle">0.63 (0.54, 0.73)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
<td align="center" valign="middle">0.66 (0.56, 0.77)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
<td align="center" valign="middle">0.78 (0.67, 0.92)</td>
<td align="center" valign="middle">0.004</td>
</tr>
<tr>
<td align="left" valign="middle">P for trend</td>
<td/>
<td align="center" valign="middle">&#x003C;0.001</td>
<td/>
<td align="center" valign="middle">&#x003C;0.001</td>
<td/>
<td align="center" valign="middle">0.002</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="7">&#x03B2;-Cryptoxanthin</td>
</tr>
<tr>
<td align="left" valign="middle">Continuous</td>
<td align="center" valign="middle">0.83 (0.77, 0.89)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
<td align="center" valign="middle">0.76 (0.70, 0.82)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
<td align="center" valign="middle">0.83 (0.76, 0.90)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="middle">Q1</td>
<td align="center" valign="middle">Reference</td>
<td/>
<td align="center" valign="middle">Reference</td>
<td/>
<td align="center" valign="middle">Reference</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Q2</td>
<td align="center" valign="middle">0.88 (0.77, 1.01)</td>
<td align="center" valign="middle">0.080</td>
<td align="center" valign="middle">0.81 (0.70, 0.93)</td>
<td align="center" valign="middle">0.004</td>
<td align="center" valign="middle">0.86 (0.74, 1.00)</td>
<td align="center" valign="middle">0.050</td>
</tr>
<tr>
<td align="left" valign="middle">Q3</td>
<td align="center" valign="middle">0.70 (0.61, 0.81)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
<td align="center" valign="middle">0.65 (0.56, 0.75)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
<td align="center" valign="middle">0.73 (0.63, 0.85)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="middle">Q4</td>
<td align="center" valign="middle">0.70 (0.61, 0.81)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
<td align="center" valign="middle">0.61 (0.52, 0.71)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
<td align="center" valign="middle">0.72 (0.61, 0.85)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="middle">P for trend</td>
<td/>
<td align="center" valign="middle">&#x003C;0.001</td>
<td/>
<td align="center" valign="middle">&#x003C;0.001</td>
<td/>
<td align="center" valign="middle">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="7">Lutein/zeaxanthin</td>
</tr>
<tr>
<td align="left" valign="middle">Continuous</td>
<td align="center" valign="middle">0.63 (0.57, 0.70)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
<td align="center" valign="middle">0.67 (0.59, 0.75)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
<td align="center" valign="middle">0.75 (0.67, 0.85)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="middle">Q1</td>
<td align="center" valign="middle">Reference</td>
<td/>
<td align="center" valign="middle">Reference</td>
<td/>
<td align="center" valign="middle">Reference</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Q2</td>
<td align="center" valign="middle">0.71 (0.62, 0.81)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
<td align="center" valign="middle">0.72 (0.62, 0.83)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
<td align="center" valign="middle">0.77 (0.67, 0.89)</td>
<td align="center" valign="middle">0.005</td>
</tr>
<tr>
<td align="left" valign="middle">Q3</td>
<td align="center" valign="middle">0.65 (0.56, 0.74)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
<td align="center" valign="middle">0.68 (0.59, 0.79)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
<td align="center" valign="middle">0.76 (0.66, 0.89)</td>
<td align="center" valign="middle">0.005</td>
</tr>
<tr>
<td align="left" valign="middle">Q4</td>
<td align="center" valign="middle">0.54 (0.47, 0.62)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
<td align="center" valign="middle">0.58 (0.50, 0.68)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
<td align="center" valign="middle">0.67 (0.57, 0.79)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="middle">P for trend</td>
<td/>
<td align="center" valign="middle">&#x003C;0.001</td>
<td/>
<td align="center" valign="middle">&#x003C;0.001</td>
<td/>
<td align="center" valign="middle">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="7">Lycopene</td>
</tr>
<tr>
<td align="left" valign="middle">Continuous</td>
<td align="center" valign="middle">1.18 (1.08, 1.30)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
<td align="center" valign="middle">0.97 (0.88, 1.06)</td>
<td align="center" valign="middle">0.489</td>
<td align="center" valign="middle">1.06 (0.96, 1.17)</td>
<td align="center" valign="middle">0.265</td>
</tr>
<tr>
<td align="left" valign="middle">Q1</td>
<td align="center" valign="middle">Reference</td>
<td/>
<td align="center" valign="middle">Reference</td>
<td/>
<td align="center" valign="middle">Reference</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Q2</td>
<td align="center" valign="middle">1.30 (1.12, 1.51)</td>
<td align="center" valign="middle">0.001</td>
<td align="center" valign="middle">1.03 (0.88, 1.20)</td>
<td align="center" valign="middle">0.721</td>
<td align="center" valign="middle">1.11 (0.95, 1.30)</td>
<td align="center" valign="middle">0.192</td>
</tr>
<tr>
<td align="left" valign="middle">Q3</td>
<td align="center" valign="middle">1.33 (1.14, 1.54)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
<td align="center" valign="middle">1.01 (0.86, 1.18)</td>
<td align="center" valign="middle">0.889</td>
<td align="center" valign="middle">1.12 (0.96, 1.32)</td>
<td align="center" valign="middle">0.155</td>
</tr>
<tr>
<td align="left" valign="middle">Q4</td>
<td align="center" valign="middle">1.34 (1.16, 1.56)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
<td align="center" valign="middle">1.02 (0.87, 1.19)</td>
<td align="center" valign="middle">0.844</td>
<td align="center" valign="middle">1.16 (0.99, 1.37)</td>
<td align="center" valign="middle">0.070</td>
</tr>
<tr>
<td align="left" valign="middle">P for trend</td>
<td/>
<td align="center" valign="middle">&#x003C;0.001</td>
<td/>
<td align="center" valign="middle">0.925</td>
<td/>
<td align="center" valign="middle">0.088</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="7">Total carotenoids</td>
</tr>
<tr>
<td align="left" valign="middle">Continuous</td>
<td align="center" valign="middle">0.73 (0.66, 0.81)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
<td align="center" valign="middle">0.68 (0.61, 0.76)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
<td align="center" valign="middle">0.79 (0.70, 0.90)</td>
<td align="center" valign="middle">0.001</td>
</tr>
<tr>
<td align="left" valign="middle">Q1</td>
<td align="center" valign="middle">Reference</td>
<td/>
<td align="center" valign="middle">Reference</td>
<td/>
<td align="center" valign="middle">Reference</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Q2</td>
<td align="center" valign="middle">0.84 (0.73, 0.97)</td>
<td align="center" valign="middle">0.015</td>
<td align="center" valign="middle">0.78 (0.67, 0.90)</td>
<td align="center" valign="middle">0.001</td>
<td align="center" valign="middle">0.84 (0.73, 0.98)</td>
<td align="center" valign="middle">0.022</td>
</tr>
<tr>
<td align="left" valign="middle">Q3</td>
<td align="center" valign="middle">0.76 (0.66, 0.88)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
<td align="center" valign="middle">0.72 (0.62, 0.83)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
<td align="center" valign="middle">0.82 (0.70, 0.95)</td>
<td align="center" valign="middle">0.010</td>
</tr>
<tr>
<td align="left" valign="middle">Q4</td>
<td align="center" valign="middle">0.65 (0.56, 0.75)</td>
<td align="center" valign="top">&#x003C;0.001</td>
<td align="center" valign="top">0.62 (0.53, 0.72)</td>
<td align="center" valign="top">&#x003C;0.001</td>
<td align="center" valign="top">0.75 (0.63, 0.88)</td>
<td align="center" valign="top">0.003</td>
</tr>
<tr>
<td align="left" valign="top">P for trend</td>
<td/>
<td align="center" valign="top">&#x003C;0.001</td>
<td/>
<td align="center" valign="top">&#x003C;0.001</td>
<td/>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>Model 1: No covariates were adjusted. Model 2: Adjusted for age, gender, and race. Model 3: Adjusted for age, gender, race, education level, marital status, PIR, BMI, smoking status, alcohol consumption, diabetes, hypertension, CVD, and stroke.</p>
</table-wrap-foot>
</table-wrap>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption>
<p>Dose-effect relationship between serum carotenoids and migraine. Age, gender, race, education level, marital status, PIR, BMI, smoking status, alcohol consumption, diabetes, hypertension, CVD, and stroke were adjusted. <bold>(A)</bold> <italic>&#x03B1;</italic>-Carotene and migraine; <bold>(B)</bold> <italic>&#x03B2;</italic>-Carotene and migraine; <bold>(C)</bold> &#x03B2;-Cryptoxanthin and migraine; <bold>(D)</bold> lutein/zeaxanthin and migraine; <bold>(E)</bold> lycopene and migraine; <bold>(F)</bold> total carotenoids and migraine. The solid red line represents the estimated serum carotenoid intake and the dotted line represents the 95% confidence interval. OR, odds ratio; 95% CI, 95% confidence interval.</p>
</caption>
<graphic xlink:href="fnut-11-1507503-g002.tif"/>
</fig>
</sec>
<sec id="sec15">
<label>3.3</label>
<title>Subgroup analyses</title>
<p>The study results showed a negative correlation between total serum carotenoid levels and migraine prevalence across all subgroups. Moreover, across the various subgroups, there was a constant correlation between serum carotenoid levels and migraine prevalence (<italic>P</italic> for interaction &#x003E;0.05) (<xref ref-type="fig" rid="fig3">Figure 3</xref>).</p>
<fig position="float" id="fig3">
<label>Figure 3</label>
<caption>
<p>Subgroup analysis between total serum carotenoids and migraine. The above model was adjusted for gender, age, race, education level, marital status, PIR, BMI, smoking status, alcohol consumption, diabetes, hypertension, cardiovascular disease (CVD), and stroke. In each case, the model was not adjusted for the stratification variable. OR, odds ratio; CI, confidence interval.</p>
</caption>
<graphic xlink:href="fnut-11-1507503-g003.tif"/>
</fig>
</sec>
</sec>
<sec sec-type="discussion" id="sec16">
<label>4</label>
<title>Discussion</title>
<p>The research indicated a significant inverse relationship between the prevalence of migraines and serum levels of <italic>&#x03B1;</italic>-carotene, <italic>&#x03B2;</italic>-carotene, &#x03B2;-cryptoxanthin, lutein/zeaxanthin, and total carotenoids. Among the carotenoids studied, &#x03B2;-cryptoxanthin exhibited a unique L-shaped association, suggesting that its protective effect may plateau after reaching a certain concentration. In contrast, lycopene did not show a significant association with migraines, indicating that different carotenoids may have varying effects. Subgroup analyses confirmed the robustness of the study&#x2019;s findings.</p>
<p>This suggests that individuals with higher serum concentrations of these carotenoids are less likely to experience migraines. The protective effect of these carotenoids is primarily attributed to their strong antioxidant activity. Reactive oxygen species (ROS) production is elevated in migraines due to oxidative stress, leading to neural tissue damage and impaired vascular function, which are known contributors to the pathophysiology of this condition (<xref ref-type="bibr" rid="ref24">24</xref>, <xref ref-type="bibr" rid="ref25">25</xref>). Carotenoids, as effective scavengers of ROS, may help neutralize these free radicals, thereby protecting the brain and vasculature from oxidative damage (<xref ref-type="bibr" rid="ref7">7</xref>). Additionally, carotenoids possess anti-inflammatory properties, which may further explain their protective role in migraine prevention (<xref ref-type="bibr" rid="ref26">26</xref>). Frequently linked to neuroinflammation, migraines are triggered by inflammatory cytokines including tumor necrosis factor-<italic>&#x03B1;</italic> and interleukin-6 (<xref ref-type="bibr" rid="ref27">27</xref>, <xref ref-type="bibr" rid="ref28">28</xref>). Carotenoids, particularly lutein and <italic>&#x03B2;</italic>-carotene, have been shown to downregulate these inflammatory mediators, potentially reducing the inflammatory processes that lead to migraine attacks (<xref ref-type="bibr" rid="ref29">29</xref>). The observed L-shaped relationship between <italic>&#x03B2;</italic>-cryptoxanthin and migraines suggests that while increasing &#x03B2;-cryptoxanthin levels initially provides a protective effect, this effect may reach a plateau beyond a certain point. This may indicate a threshold for the bioavailability or metabolism of carotenoids, where the body can only utilize a limited amount of &#x03B2;-cryptoxanthin for its antioxidant and anti-inflammatory effects. Beyond this threshold, further increases in serum levels do not provide additional protection, highlighting the need for future research to determine the optimal carotenoid levels for migraine prevention.</p>
<p>Studies have shown that oxidative stress markers are elevated in migraine patients, while levels of endogenous antioxidants, such as glutathione, are decreased, indicating an impaired ability to neutralize ROS in these patients. Similarly, some studies have reported that individuals whose diets are rich in carotenoids, particularly <italic>&#x03B2;</italic>-carotene and lutein, have a lower risk of neurological disorders, including migraines (<xref ref-type="bibr" rid="ref30">30</xref>). For instance, adherence to the Mediterranean diet&#x2014;which is high in fruits and vegetables that contain carotenoid&#x2014;was linked to a lower incidence of migraines, according to a study by Bak&#x0131;rhan et al. (<xref ref-type="bibr" rid="ref31">31</xref>). This complements the current findings, as the measurement of serum carotenoid levels provides an objective biomarker of dietary intake and antioxidant status, further supporting the protective role of these compounds in migraine prevention. The non-linear L-shaped relationship observed in this study between <italic>&#x03B2;</italic>-cryptoxanthin and migraine risk is similar to findings in other health conditions, such as cardiovascular disease. Huang et al. found a similar L-shaped association between &#x03B2;-cryptoxanthin levels and cardiovascular disease risk, where moderate levels provided the greatest protection, but higher levels did not offer additional benefits (<xref ref-type="bibr" rid="ref17">17</xref>). This suggests that the protective effect of &#x03B2;-cryptoxanthin may be dose-dependent, with an optimal range for its beneficial effects. Results from a study in the future indicated that being exposed to numerous serum carotenoids was linked to a decreased likelihood of mortality from any cause, cardiovascular disease (CVD), and cancer. These results imply that consuming a diverse range of carotenoids in one&#x2019;s diet may provide extensive health advantages (<xref ref-type="bibr" rid="ref17">17</xref>, <xref ref-type="bibr" rid="ref19">19</xref>). Research by Wang et al. indicated an inverse correlation between serum carotenoid concentrations and the prevalence of CVD, with the protective effect being more pronounced for heart disease and stroke (<xref ref-type="bibr" rid="ref32">32</xref>). Higher dietary antioxidant index scores have been associated with a lower prevalence of severe headaches or migraines (<xref ref-type="bibr" rid="ref33">33</xref>). Additionally, Research has indicated a negative correlation between the prevalence of chronic obstructive pulmonary disease and carotenoid levels, with lutein, zeaxanthin, and <italic>&#x03B1;</italic>-cryptoxanthin being the main contributors to this inverse association (<xref ref-type="bibr" rid="ref34">34</xref>). Research conducted by Heqing Zheng and colleagues indicated that the potential link between zinc consumption and migraines could be attributed to the antioxidant and anti-inflammatory characteristics of zinc. Furthermore, this negative association was more pronounced in participants aged 20&#x2013;50 compared to those over 50 (<xref ref-type="bibr" rid="ref35">35</xref>). In this study, there was no significant link between lycopene and migraines. This difference may be due to the way carotenoids accumulate and function in different tissues. While lycopene effectively protects against oxidative stress in the prostate and cardiovascular system, it may not have the same protective effect in the brain, where other carotenoids, like lutein and <italic>&#x03B2;</italic>-carotene, are more prevalent (<xref ref-type="bibr" rid="ref36">36</xref>, <xref ref-type="bibr" rid="ref37">37</xref>).</p>
<p>The presence of serum carotenoids may be linked to the prevalence of migraines. Carotenoids are known for their capacity to counteract reactive oxygen species (ROS) and decrease oxidative stress, which is a significant factor in the development of migraines. Migraines are frequently connected with heightened oxidative damage, particularly in neural tissue, which is highly vulnerable to oxidative stress because of its high metabolic requirements (<xref ref-type="bibr" rid="ref24">24</xref>, <xref ref-type="bibr" rid="ref25">25</xref>). By mitigating oxidative damage, carotenoids may help in preventing or reducing the frequency and severity of migraine attacks.</p>
</sec>
<sec id="sec17">
<label>5</label>
<title>Strengths and limitations</title>
<p>The study has multiple notable strengths. To begin with, it utilizes a sizable, nationally representative sample from the NHANES dataset, enhancing the generalizability of the findings to a broader U.S. population. The utilization of NHANES ensures high-quality data collection, including serum carotenoid level measurements conducted using advanced laboratory techniques, thereby providing accurate and objective biomarkers of antioxidant status. This research emphasizes serum carotenoids rather than self-reported dietary intake, mitigating biases associated with misreporting or inaccuracies common in dietary surveys. Furthermore, this research is among the initial inquiries into the correlation between various specific carotenoids and the frequency of migraines. Previous studies have primarily concentrated on overall dietary patterns or general antioxidant intake. By examining individual carotenoids, this research offers deeper insights into how specific antioxidants may influence migraine risk. The L-shaped relationship observed between <italic>&#x03B2;</italic>-cryptoxanthin and migraine risk contributes novel information to the existing literature on antioxidants and migraines, suggesting that the carotenoids exhibit dose-dependent protective effects.</p>
<p>Despite these strengths, this study also has several limitations. Firstly, the cross-sectional design of the NHANES dataset constrains our ability to establish causality. This study remains uncertain whether higher carotenoid levels reduce migraine risk or if individuals with fewer migraines exhibit different dietary habits or lifestyles that contribute to elevated carotenoid levels. Longitudinal studies are necessary to more accurately assess the directionality of this relationship. Secondly, the self-reported nature of migraine diagnosis may introduce recall bias or misclassification. Finally, although this study examined multiple carotenoids, it did not investigate potential interactions between carotenoids and other nutrients, which may play synergistic roles in mitigating oxidative stress and inflammation. Future research should explore how combinations of antioxidants influence migraine risk and whether specific carotenoids are more effective when consumed alongside other nutrients.</p>
</sec>
<sec sec-type="conclusions" id="sec18">
<label>6</label>
<title>Conclusion</title>
<p>The results of this research indicate that there is a negative correlation between serum levels of <italic>&#x03B1;</italic>-carotene, <italic>&#x03B2;</italic>-carotene, &#x03B2;-cryptoxanthin, lutein/zeaxanthin, and total carotenoids and the probability of experiencing migraines. Notably, an L-shaped relationship exists between &#x03B2;-cryptoxanthin and migraine risk. Increasing the intake of carotenoid-rich foods may represent a straightforward and feasible strategy for enhancing antioxidant defenses and alleviating the burden of migraines.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="sec19">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author.</p>
</sec>
<sec sec-type="ethics-statement" id="sec20">
<title>Ethics statement</title>
<p>The portions of this study involving human participants, human materials, or human data were conducted in accordance with the Declaration of Helsinki and were approved by the National Center for Health Statistics (NCHS) Ethics Review Board. The patients/participants provided their written informed consent to participate in this study. The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study. 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 sec-type="author-contributions" id="sec21">
<title>Author contributions</title>
<p>TH: Conceptualization, Data curation, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. YC: Formal analysis, Funding acquisition, Writing &#x2013; original draft. SC: Investigation, Methodology, Software, Writing &#x2013; original draft. RX: Project administration, Resources, Supervision, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing.</p>
</sec>
<sec sec-type="funding-information" id="sec22">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. This work was supported by the Key Research and Development Program of Hubei Provincial Department of Science and Technology (Grant No. 2022BCE007).</p>
</sec>
<ack>
<p>We would like to thank all participants in this study.</p>
</ack>
<sec sec-type="COI-statement" id="sec23">
<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="sec24">
<title>Generative AI statement</title>
<p>The author(s) declare that no Gen AI was used in the creation of this manuscript.</p>
</sec>
<sec sec-type="disclaimer" id="sec25">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<fn-group>
<title>Abbreviations</title>
<fn fn-type="abbr">
<p>NHANES, National Health and Nutrition Examination Survey; NCHS, National Center for Health Statistics; BMI, body mass index; RCS, restricted cubic spline; PIR, income to poverty ratio; CVD, cardiovascular disease; ROS, reactive oxygen species.</p>
</fn>
</fn-group>
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