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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.2025.1538405</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Nutrition</subject>
<subj-group>
<subject>Clinical Trial</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Association between the intake of potentially risky beverages and the occurrence of endometrial polyps: a case&#x2013;control study</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" equal-contrib="yes">
<name><surname>Fu</surname> <given-names>Rui</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref rid="aff2" ref-type="aff"><sup>2</sup></xref>
<xref ref-type="author-notes" rid="fn0002"><sup>&#x2020;</sup></xref>
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</contrib>
<contrib contrib-type="author" equal-contrib="yes">
<name><surname>Zhang</surname> <given-names>Shipeng</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref rid="aff2" ref-type="aff"><sup>2</sup></xref>
<xref ref-type="author-notes" rid="fn0002"><sup>&#x2020;</sup></xref>
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<contrib contrib-type="author">
<name><surname>Cai</surname> <given-names>Chang</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref rid="aff2" ref-type="aff"><sup>2</sup></xref>
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</contrib>
<contrib contrib-type="author">
<name><surname>Wang</surname> <given-names>Xiaocui</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref rid="aff2" ref-type="aff"><sup>2</sup></xref>
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<contrib contrib-type="author">
<name><surname>Jiang</surname> <given-names>Yanjie</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/2733797/overview"/>
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</contrib>
<contrib contrib-type="author">
<name><surname>Zhuang</surname> <given-names>Xiulian</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref rid="aff2" ref-type="aff"><sup>2</sup></xref>
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<contrib contrib-type="author">
<name><surname>Zhang</surname> <given-names>Jiating</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
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</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Ji</surname> <given-names>Xiaoli</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/2809462/overview"/>
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<contrib contrib-type="author" corresp="yes">
<name><surname>Yang</surname> <given-names>Chengcheng</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
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<aff id="aff1"><sup>1</sup><institution>Clinical Medical College, Chengdu University of Traditional Chinese Medicine</institution>, <addr-line>Chengdu, Sichuan</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>Hospital of Chengdu University of Traditional Chinese Medicine</institution>, <addr-line>Chengdu, Sichuan</addr-line>, <country>China</country></aff>
<aff id="aff3"><sup>3</sup><institution>Nanjing Hospital of Chinese Medicine Affiliated to Nanjing University of Chinese Medicine</institution>, <addr-line>Nanjing, Jiangsu</addr-line>, <country>China</country></aff>
<aff id="aff4"><sup>4</sup><institution>Liaoning University of Traditional Chinese Medicine Xinglin College</institution>, <addr-line>Shenyang, Liaoning</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by" id="fn0003">
<p>Edited by: Dorota Formanowicz, Poznan University of Medical Sciences, Poland</p>
</fn>
<fn fn-type="edited-by" id="fn0004">
<p>Reviewed by: Nahla Al-Bayyari, Al-Balqa Applied University, Jordan</p>
<p>Ma&#x0142;gorzata Mizgier, Poznan University of Physical Education, Poland</p>
<p>Kalina Ma&#x0107;kowiak, Poznan University of Medical Sciences, Poland</p>
</fn>
<corresp id="c001">&#x002A;Correspondence: Ji Xiaoli, <email>jixiaoli1030@163.com</email>; Chengcheng Yang, <email>150393856@qq.com</email></corresp>
<fn fn-type="equal" id="fn0002"><p><sup>&#x2020;</sup>These authors have contributed equally to this work and share first authorship</p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>04</day>
<month>02</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>12</volume>
<elocation-id>1538405</elocation-id>
<history>
<date date-type="received">
<day>02</day>
<month>12</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>16</day>
<month>01</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2025 Fu, Zhang, Cai, Wang, Jiang, Zhuang, Zhang, Ji and Yang.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Fu, Zhang, Cai, Wang, Jiang, Zhuang, Zhang, Ji and Yang</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>This case&#x2013;control study aimed to examine the association between the frequency of potentially risky beverage consumption, levels of anxiety, and the prevalence of endometrial polyps.</p>
</sec>
<sec id="sec2">
<title>Methods</title>
<p>A total of 418 participants were enrolled in the study, comprising 206 cases and 212 controls. The case group consisted of patients who visited the gynecological clinic at the Affiliated Hospital of Chengdu University of Traditional Chinese Medicine and were diagnosed with endometrial polyps (Eps) based on international diagnostic criteria. The control group consisted of women of childbearing age who visited the gynecological clinic with similar clinical symptoms but did not have EPs. Basic information, consumption of potentially risky beverages (PRB), and anxiety levels for both groups were collected through a questionnaire survey. Finally, the relationship between the frequency of PRB consumption, anxiety levels, and the prevalence of EPs was evaluated.</p>
</sec>
<sec id="sec3">
<title>Results</title>
<p>In this study, we identified a significant positive association between the consumption of PRB and the prevalence of EPs. PRB intake was categorized into three groups based on the cumulative total score: 5&#x2013;8 for the Low potentially risky beverages (LPRB) intake group, 9&#x2013;12 for the medium potentially risky beverages (MPRB) intake group, and 13&#x2013;21 for the high potentially risky beverages (HPRB) intake group. The results revealed that PRB consumption frequency was significantly associated with EPs (OR: 2.348, 95% CI: 1.153&#x2013;4.78), with higher PRB intake correlating with an increased risk of EPs (<italic>p</italic>-value: 0.014). However, no significant difference was observed between the LPRB, MPRB, HPRB intake frequency groups and the different levels of anxiety (<italic>p</italic>-value: 0.793).</p>
</sec>
<sec id="sec4">
<title>Conclusion</title>
<p>Increased consumption of PRB was clearly associated with a greater risk of EPs, and over half of the participants exhibited varying degrees of anxiety. These findings suggest that the risk of EPs can be mitigated by controlling beverage intake and highlight the need for increased attention to women&#x2019;s mental health.</p>
</sec>
<sec>
<title>Clinical trial registration</title>
<p>NCT06295510.</p>
</sec>
</abstract>
<kwd-group>
<kwd>endometrial polyps</kwd>
<kwd>potentially risky beverages</kwd>
<kwd>anxiety</kwd>
<kwd>female</kwd>
<kwd>logistic</kwd>
</kwd-group>
<counts>
<fig-count count="2"/>
<table-count count="4"/>
<equation-count count="1"/>
<ref-count count="49"/>
<page-count count="10"/>
<word-count count="7347"/>
</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>Endometrial polyps (EPs) are common gynecological conditions and represent a frequent intrauterine lesion resulting from local hyperplasia of the endometrium, primarily affecting women of childbearing age. Epidemiological studies indicate that EPs account for 24 to 25% of gynecological diseases in Chinese women (<xref ref-type="bibr" rid="ref1">1</xref>). Moreover, the recurrence rate of Eps is high (<xref ref-type="bibr" rid="ref2">2</xref>). The incidence of EPs is age-dependent, contributing to 10&#x2013;40% of abnormal uterine bleeding before menopause and 10.1&#x2013;38.0% after menopause (<xref ref-type="bibr" rid="ref3">3</xref>). Most scholars believe that the pathogenesis of EPs is related to hormonal imbalances and inflammation and that factors such as obesity, advanced age, estrogen stimulation, and angiogenesis are closely related to the occurrence and progression of endometriosis (<xref ref-type="bibr" rid="ref4">4</xref>). The clinical symptoms of EPs are not typical and include heavy menstrual bleeding, intermenstrual bleeding, and prolonged menstrual duration. EPs not only affect the quality of life of patients but are also are directly associated with reduced fertility (<xref ref-type="bibr" rid="ref5">5</xref>). Studies have shown that EPs can obstruct fallopian tube opening and occupy space in the uterine cavity, thus obstructing sperm transport and embryo implantation. In addition, the local inflammatory response mediated by EPs affects sperm survival and inhibits embryo implantation and development. Patients with EPs experience reduced endometrial receptivity and sexual intercourse frequency, ultimately resulting in lower pregnancy rates (<xref ref-type="bibr" rid="ref6">6</xref>).</p>
<p>According to the most recent survey, the probability of a combined diagnosis of EPs in women with unexplained infertility ranges from 16.5 to 26.5%, while the incidence of primary infertility ranges from 3.8 to 38.5%, and the incidence of secondary infertility ranges from 1.8 to 17% (<xref ref-type="bibr" rid="ref7">7</xref>). Currently, there is no effective treatment for EPs. Hysteroscopic endometrial resection is the preferred method for treating EPs, but postoperative recurrence rates remain high, ranging from 33.33 to 52% (<xref ref-type="bibr" rid="ref8">8</xref>); as follow-up time increases, the recurrence rate of EPs also rises. Consequently, identifying effective prevention and treatment strategies has become an urgent issue that requires resolution.</p>
<p>A large number of studies have shown that changes in dietary structure and intake are important factors in disease prevention. Although no direct link has been found between dietary intake and EPs, several studies indicate a significant association between different diets and endometrial-related diseases. Sakine Ghasemisedaghat et al. reported that the consumption of plant protein and vitamin K could reduce the incidence of endometriosis, whereas the consumption of animal protein, haem iron, and a high glycemic load was associated with an increased incidence of endometriosis (<xref ref-type="bibr" rid="ref9">9</xref>). SHIVAPPA N et al. reported a moderate positive correlation between high glycemic load (but not the glycemic index) and endometrial cancer (<xref ref-type="bibr" rid="ref10">10</xref>).</p>
<p>In recent years, more attention has been paid to the adjustment of dietary structure, but the harm of beverage intake to health has been ignored. The increase of beverage intake is also an important risk factor leading to the increase of chronic diseases. Studies have shown that milk tea, carbonated drinks, and sugar-sweetened beverages are significantly associated with increased depression in college students (<xref ref-type="bibr" rid="ref11">11</xref>), carbonated drinks have been linked to osteoporosis and type 2 diabetes (<xref ref-type="bibr" rid="ref12">12</xref>); sugar-sweetened beverages have shown the strongest harmful effects, with clear associations with various health outcomes (<xref ref-type="bibr" rid="ref13">13</xref>); caffeine intake is associated with fluctuations in estrogen levels (<xref ref-type="bibr" rid="ref14">14</xref>); and soy milk, which contains a high concentration of isoflavones, is related to hormonal fluctuations, including estrogen levels, in women (<xref ref-type="bibr" rid="ref15">15</xref>). The high contents of sugars, unsaturated fats, additives, hormones, proinflammatory substances, and other components in these beverages may pose significant health risks (<xref ref-type="bibr" rid="ref16">16</xref>). Considering the varying degrees of harm these five beverages may cause to human health, carbonated drinks, soy milk, sugar-sweetened beverages, milk tea, and coffee were classified as PRB in this study (<xref ref-type="bibr" rid="ref12">12</xref>). This study evaluated the intake of these beverages and examined the correlation between their consumption and the incidence of EPs. There is a well-established relationship between the occurrence of EPs and the levels of hormones as well as proinflammatory substances (<xref ref-type="bibr" rid="ref17">17</xref>). It can be speculated that the increased intake of these PRB may be a key factor contributing to the rising incidence of EPs. This study aims to clarify the relationship between the incidence of EPs, the intake of PRB, and anxiety levels, thereby providing evidence-based insights to assist in dietary recommendations and the prevention of EPs among female patients.</p>
</sec>
<sec sec-type="methods" id="sec6">
<title>Methods</title>
<sec id="sec7">
<title>Study design, population, and sample size</title>
<p>In this study, women of childbearing age who attended the gynecological outpatient department of the Affiliated Hospital of Chengdu University of Traditional Chinese Medicine between 1<sup>st</sup> Mar 2024 and 1<sup>st</sup> May 2024 were selected as study participants, and the sample size was determined via the following <xref ref-type="disp-formula" rid="EQ1">Equation 1</xref>,<disp-formula id="EQ1">
<label>(1)</label>
<mml:math id="M1">
<mml:mi mathvariant="italic">Sample</mml:mi>
<mml:mspace width="0.25em"/>
<mml:mi mathvariant="italic">size</mml:mi>
<mml:mo>=</mml:mo>
<mml:mfrac>
<mml:mrow>
<mml:mi>r</mml:mi>
<mml:mo>+</mml:mo>
<mml:mn>1</mml:mn>
</mml:mrow>
<mml:mi>r</mml:mi>
</mml:mfrac>
<mml:mspace width="0.1em"/>
<mml:mfrac>
<mml:mrow>
<mml:msup>
<mml:mfenced open="(" close=")">
<mml:mrow>
<mml:mi>Z</mml:mi>
<mml:mi>&#x03B2;</mml:mi>
<mml:mo>+</mml:mo>
<mml:mi>Z</mml:mi>
<mml:mi>a</mml:mi>
<mml:mo stretchy="true">/</mml:mo>
<mml:mn>2</mml:mn>
</mml:mrow>
</mml:mfenced>
<mml:mn>2</mml:mn>
</mml:msup>
<mml:mi>P</mml:mi>
<mml:mfenced open="(" close=")">
<mml:mrow>
<mml:mn>1</mml:mn>
<mml:mo>&#x2212;</mml:mo>
<mml:mi>P</mml:mi>
</mml:mrow>
</mml:mfenced>
</mml:mrow>
<mml:msup>
<mml:mfenced open="(" close=")">
<mml:mrow>
<mml:mi>P</mml:mi>
<mml:mn>1</mml:mn>
<mml:mo>&#x2212;</mml:mo>
<mml:mi>P</mml:mi>
<mml:mn>2</mml:mn>
</mml:mrow>
</mml:mfenced>
<mml:mn>2</mml:mn>
</mml:msup>
</mml:mfrac>
</mml:math>
</disp-formula></p>
<p>In this study, r represents the case-to-control ratio, which is set to 1, indicating an equal number of cases and controls. Z&#x03B1;/2 represents the standard normal variable for a significance level of 0.05/2, which equals 1.96, whereas Z&#x03B2; indicates a power of 90%, corresponding to a value of 1.28. P1 denotes the proportion of cases, specifically the prevalence of EPs reported in previous studies, which is 0.14. P2 represents the proportion of the control group. Following extensive discussions between the author and statisticians, it is assumed that the proportion of gynecological patients of childbearing age without EPs is 0.27. P is the average proportion of cases to the control group, which is calculated as P1&#x202F;+&#x202F;P2. After calculation, the required sample size was determined to be 206. To ensure adequate age representation in matching cases and controls, as well as the validity of the sample size, we plan to recruit 220 cases and 220 controls. To mitigate potential recall bias, a contradictory response option was added to assess the accuracy of the questionnaire responses. If any discrepancies were identified between the presurvey and postsurvey answers, the corresponding questionnaire was excluded. Additionally, some participants expressed concerns about information security; as a result, 22 participants opted to withdraw from the survey. Consequently, the final sample consisted of 206 valid questionnaires from the case group and 212 from the control group (<xref ref-type="fig" rid="fig1">Figure 1</xref>). The tool used in <xref ref-type="fig" rid="fig1">Figure 1</xref>,<xref ref-type="fn" rid="fn0001"><sup>1</sup></xref> The tool used in <xref ref-type="fig" rid="fig2">Figure 2</xref> is GraphPad Prism 8.</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>Experimental flow chart.</p>
</caption>
<graphic xlink:href="fnut-12-1538405-g001.tif"/>
</fig>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption>
<p>Two groups of anxiety frequency statistics.</p>
</caption>
<graphic xlink:href="fnut-12-1538405-g002.tif"/>
</fig>
</sec>
<sec id="sec8">
<title>Inclusion and exclusion criteria</title>
<p>Women aged 18&#x2013;49&#x202F;years who present at the gynecologic clinic will be eligible for inclusion in this study. The inclusion criteria for the study group were as follows: (1) aged between 18 and 49&#x202F;years; (2) had a diagnosis of EPs confirmed by transvaginal ultrasound; (3) had primary complaints, including intermenstrual bleeding, irregular menstruation, abnormal uterine bleeding, dysmenorrhea, or excessive menstrual bleeding; and (4) provided informed consent after the study&#x2019;s purpose was explained. The exclusion criteria were as follows: (1) inability to accurately recall beverage intake 1&#x202F;month prior; (2) accurate recall of beverage intake 1&#x202F;month prior but with logical inconsistencies; (3) The use of hormonal medications for more than 1&#x202F;month, including contraceptives, estrogen, progestins, and other related drugs; (4) history of long-term hormonal drug use; and (5) presence of significant mental disorders. Patients with similar complaints who do not have EPs will be assigned to the control group.</p>
</sec>
<sec id="sec9">
<title>Questionnaire design</title>
<sec id="sec10">
<title>General questionnaire</title>
<p>The general questionnaire collected basic demographic and lifestyle information, including height, weight, age, residence (with consideration of environmental pollution levels), education level, family income per capita, smoking history, alcohol consumption history, marital history, sexual history, and abortion history.</p>
</sec>
<sec id="sec11">
<title>FBQ-5 beverage frequency scale</title>
<p>A self-designed Beverage Frequency Questionnaire (FBQ-5) was used to assess participants&#x2019; beverage consumption over the past month. To minimize recall bias, a contradictory option was included to enhance the accuracy of responses. The beverage categories included carbonated drinks, soy milk, sugar-sweetened beverages, milk tea, and coffee. Beverage consumption frequencies were classified as follows: &#x2018;almost never,&#x2019; &#x2018;occasionally&#x2019; (0&#x2013;1 times per week), &#x2018;sometimes&#x2019; (1&#x2013;2 times per week), &#x2018;often&#x2019; (3&#x2013;4 times per week), and &#x2018;always&#x2019; (5 or more times per week), with scores ranging from 1 to 5, where higher scores indicated more frequent consumption of PRB. The cumulative score ranged from 5 to 25. Based on quartile ranges, scores of 5&#x2013;8 were categorized into the LPRB group, 9&#x2013;12 into the MPRB group, and 13&#x2013;25 into the HPRB group. The reliability and validity of the questionnaire were assessed, with a Kaiser-Meyer-Olkin (KMO) value of 0.893 and a Cronbach&#x2019;s <italic>&#x03B1;</italic> coefficient of 0.788, indicating good construct validity.</p>
</sec>
<sec id="sec12">
<title>GAD-7 anxiety rating scale</title>
<p>Psychological anxiety is prevalent among women, as indicated by several studies. Therefore, the Generalized Anxiety Disorder-7 (GAD-7) scale was used to assess the anxiety levels of participants in this study (<xref ref-type="bibr" rid="ref18">18</xref>). This instrument has been validated as a reliable tool for assessing anxiety in the Chinese population, including pregnant women (<xref ref-type="bibr" rid="ref19">19</xref>). Seven items with typical anxiety symptoms over the past 2&#x202F;weeks were measured on a 4-point Likert-type scale: 0&#x202F;=&#x202F;never, 1&#x202F;=&#x202F;several days, 2&#x202F;=&#x202F;more than half of the days, and 3&#x202F;=&#x202F;nearly every day. A cut-off score of 5 or higher was considered to indicate anxiety (<xref ref-type="bibr" rid="ref20">20</xref>). In this study, anxiety levels in women were assessed using seven questions from the GAD-7 scale. Based on the cumulative GAD-7 score, anxiety severity was classified as follows: none (0&#x2013;4), mild (<xref ref-type="bibr" rid="ref5 ref6 ref7 ref8 ref9">5&#x2013;9</xref>), moderate (<xref ref-type="bibr" rid="ref10 ref11 ref12 ref13 ref14">10&#x2013;14</xref>), and severe (<xref ref-type="bibr" rid="ref15 ref16 ref17 ref18 ref19 ref20 ref21">15&#x2013;21</xref>).</p>
</sec>
</sec>
<sec id="sec13">
<title>Statistical methods</title>
<p>Data analysis was conducted via SPSS 26.0 (IBM, Armonk, New York, United States). Cronbach&#x2019;s alpha, Bartlett&#x2019;s test of sphericity, and the Kaiser&#x2013;Meyer&#x2013;Olkin (KMO) test were employed to evaluate the reliability and validity of the FBQ-5 and GAD-7 scales. Continuous variables are expressed as the means &#x00B1; standard deviations, and independent sample tests were used to compare differences between the means of continuous variables among cases and controls. Differences among multiple groups were assessed via analysis of variance (ANOVA). In cases of significant differences among groups, pairwise comparisons were conducted via the least significant difference (LSD) method. The Spearman correlation test was used to analyze the relationships among categorical variables. Multivariate logistic regression analysis was conducted to identify independent predictors of the prevalence of EPs. The significance level was set at <italic>&#x03B1;</italic>&#x202F;=&#x202F;0.05 (two-tailed), and <italic>p</italic>&#x202F;&#x003C;&#x202F;0.05 was deemed statistically significant.</p>
</sec>
</sec>
<sec sec-type="results" id="sec14">
<title>Results</title>
<sec id="sec15">
<title>General data statistics of enrolled patients</title>
<p><xref ref-type="table" rid="tab1">Table 1</xref> presents the general characteristics of the case and control groups, as well as the frequency of consumption of five types of PRB. A total of 418 participants were included, with 206 in the EPs group and 212 in the nonendometrial polyps (NEPs) group. As shown in the table, the average age of the EPs group (29.63&#x202F;&#x00B1;&#x202F;7.53) was significantly younger than that of the NEPs group (35.16&#x202F;&#x00B1;&#x202F;8.94), suggesting that EPs tend to occur at a younger age. The incidence of EPs was also significantly associated with marital status (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.001), environmental pollution (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.001), education level (<italic>p</italic>&#x202F;=&#x202F;0.015), sexual activity (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.001), pregnancy history (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.001), abortion history (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.001), smoking history (<italic>p</italic>&#x202F;=&#x202F;0.020), and reproductive history (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.001), with all variables showing statistical significance (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05). However, no significant difference was observed between the different levels of anxiety and the low, medium, and high PRB intake groups (<italic>p</italic>&#x202F;=&#x202F;0.793). Based on these findings, we conclude that, compared to the control group, patients with EPs tend to be younger, and women who are sexually inactive have a significantly lower probability of developing EPs compared to those who are sexually active. Additionally, women with higher education levels are less likely to have EPs than those with lower education levels. Moreover, the average cumulative scores for the frequency of PRB intake were significantly higher in the EPs group than in the control group (<italic>p</italic>&#x202F;=&#x202F;0.038). However, no significant differences were found in the incidence of EPs with respect to family per capita monthly income (<italic>p</italic>&#x202F;=&#x202F;0.268) or drinking history (<italic>p</italic>&#x202F;=&#x202F;0.232).</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>General characteristics and drinking frequency.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th/>
<th align="center" valign="top">Eps</th>
<th align="center" valign="top">NEPs</th>
<th align="center" valign="top"><italic>p</italic> value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">Age (M&#x202F;&#x00B1;&#x202F;SD)</td>
<td/>
<td align="center" valign="middle">29.63&#x202F;&#x00B1;&#x202F;7.53</td>
<td align="center" valign="middle">35.16&#x202F;&#x00B1;&#x202F;8.94</td>
<td align="center" valign="middle">&#x003C;0.001&#x002A;&#x002A;</td>
</tr>
<tr>
<td align="left" valign="middle">Body Mass Index (M&#x202F;&#x00B1;&#x202F;SD)</td>
<td/>
<td align="center" valign="middle">22.02&#x202F;&#x00B1;&#x202F;3.56</td>
<td align="center" valign="middle">22.16&#x202F;&#x00B1;&#x202F;5.05</td>
<td align="center" valign="middle">0.743</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="2">Marriage (N, %)</td>
<td align="center" valign="middle">Married</td>
<td align="center" valign="middle">48 (11.5%)</td>
<td align="center" valign="middle">109 (26.1%)</td>
<td align="center" valign="middle">&#x003C;0.001&#x002A;&#x002A;</td>
</tr>
<tr>
<td align="center" valign="middle">Single</td>
<td align="center" valign="middle">158 (37.8%)</td>
<td align="center" valign="middle">103 (24.9%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle" rowspan="2">Environmental pollution (N, %)</td>
<td align="center" valign="middle">Near the city</td>
<td align="center" valign="middle">140 (33.5%)</td>
<td align="center" valign="middle">89 (21.3%)</td>
<td align="center" valign="middle">&#x003C;0.001&#x002A;&#x002A;</td>
</tr>
<tr>
<td align="center" valign="middle">Central city</td>
<td align="center" valign="middle">66 (15.8%)</td>
<td align="center" valign="middle">123 (29.4%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle" rowspan="3">Degree of education</td>
<td align="center" valign="middle">Junior high school and below</td>
<td align="center" valign="middle">21 (5.0%)</td>
<td align="center" valign="middle">7 (1.7%)</td>
<td align="center" valign="middle">0.015&#x002A;</td>
</tr>
<tr>
<td align="center" valign="middle">senior high school</td>
<td align="center" valign="middle">18 (4.3%)</td>
<td align="center" valign="middle">24 (5.7%)</td>
<td/>
</tr>
<tr>
<td align="center" valign="middle">University and above</td>
<td align="center" valign="middle">167 (40.0%)</td>
<td align="center" valign="middle">181 (43.3%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle" rowspan="3">Per capita monthly household income</td>
<td align="center" valign="middle">&#x003C;3,000&#x00A5;</td>
<td align="center" valign="middle">58 (13.9%)</td>
<td align="center" valign="middle">46 (11.0%)</td>
<td align="center" valign="middle">0.268</td>
</tr>
<tr>
<td align="center" valign="middle">3,000&#x2013;5,000&#x00A5;</td>
<td align="center" valign="middle">105 (25.1%)</td>
<td align="center" valign="middle">113 (27.0%)</td>
<td/>
</tr>
<tr>
<td align="center" valign="middle">&#x003E;5,000&#x00A5;</td>
<td align="center" valign="middle">43 (10.3%)</td>
<td align="center" valign="middle">53 (12.7%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle" rowspan="2">Smoking (N, %)</td>
<td align="center" valign="middle">Yes</td>
<td align="center" valign="middle">25 (12.1%)</td>
<td align="center" valign="middle">12 (5.7%)</td>
<td align="center" valign="middle">0.020 &#x002A;</td>
</tr>
<tr>
<td align="center" valign="middle">No</td>
<td align="center" valign="middle">181 (87.9%)</td>
<td align="center" valign="middle">200 (94.3%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle" rowspan="2">Drinking (N, %)</td>
<td align="center" valign="middle">Yes</td>
<td align="center" valign="middle">70 (34.0%)</td>
<td align="center" valign="middle">84 (39.6%)</td>
<td align="center" valign="middle">0.232</td>
</tr>
<tr>
<td align="center" valign="middle">No</td>
<td align="center" valign="middle">136 (66.0%)</td>
<td align="center" valign="middle">128 (60.4%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle" rowspan="2">Sexual life (N, %)</td>
<td align="center" valign="middle">Yes</td>
<td align="center" valign="middle">190 (45.8%)</td>
<td align="center" valign="middle">133 (31.8%)</td>
<td align="center" valign="middle">&#x003C;0.001&#x002A;&#x002A;</td>
</tr>
<tr>
<td align="center" valign="middle">No</td>
<td align="center" valign="middle">16 (3.8%)</td>
<td align="center" valign="middle">79 (18.9%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle" rowspan="2">Whether pregnant or not (N, %)</td>
<td align="center" valign="middle">Yes</td>
<td align="center" valign="middle">122 (29.2%)</td>
<td align="center" valign="middle">73 (17.5%)</td>
<td align="center" valign="middle">&#x003C;0.001&#x002A;&#x002A;</td>
</tr>
<tr>
<td align="center" valign="middle">No</td>
<td align="center" valign="middle">84 (20.1%)</td>
<td align="center" valign="middle">139 (33.3%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle" rowspan="2">History of abortion (N, %)</td>
<td align="center" valign="middle">Yes</td>
<td align="center" valign="middle">90 (23.7%)</td>
<td align="center" valign="middle">48 (11.5%)</td>
<td align="center" valign="middle">&#x003C;0.001&#x002A;&#x002A;</td>
</tr>
<tr>
<td align="center" valign="middle">No</td>
<td align="center" valign="middle">116 (27.8%)</td>
<td align="center" valign="middle">164 (39.2%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle" rowspan="2">Childbearing history (N, %)</td>
<td align="center" valign="middle">Yes</td>
<td align="center" valign="middle">99 (23.7%)</td>
<td align="center" valign="middle">64 (15.3%)</td>
<td align="center" valign="middle">&#x003C;0.001&#x002A;&#x002A;</td>
</tr>
<tr>
<td align="center" valign="middle">No</td>
<td align="center" valign="middle">107 (25.6%)</td>
<td align="center" valign="middle">148 (35.4%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle" rowspan="5">Carbonate beverages (N, %)</td>
<td align="center" valign="middle">almost never</td>
<td align="center" valign="middle">22 (10.7%)</td>
<td align="center" valign="middle">41 (19.3%)</td>
<td align="center" valign="middle" rowspan="5">0.088</td>
</tr>
<tr>
<td align="center" valign="middle">occasionally (0&#x2013;1 times per week)</td>
<td align="center" valign="middle">113 (54.9%)</td>
<td align="center" valign="middle">106 (50%)</td>
</tr>
<tr>
<td align="center" valign="middle">sometimes (1&#x2013;2 times per week)</td>
<td align="center" valign="middle">46 (22.3%)</td>
<td align="center" valign="middle">39 (18.4%)</td>
</tr>
<tr>
<td align="center" valign="middle">often (3&#x2013;4 times per week)</td>
<td align="center" valign="middle">20 (9.7%)</td>
<td align="center" valign="middle">24 (11.3%)</td>
</tr>
<tr>
<td align="center" valign="middle">always (4&#x2013;5 times per week)</td>
<td align="center" valign="middle">5 (2.4%)</td>
<td align="center" valign="middle">2 (0.9%)</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="5">Soybean milk (N, %)</td>
<td align="center" valign="middle">almost never</td>
<td align="center" valign="middle">56 (27.2%)</td>
<td align="center" valign="middle">45 (21.2%)</td>
<td align="center" valign="middle" rowspan="5">0.165</td>
</tr>
<tr>
<td align="center" valign="middle">occasionally (0&#x2013;1 times per week)</td>
<td align="center" valign="middle">107 (51.9%)</td>
<td align="center" valign="middle">132 (62.3%)</td>
</tr>
<tr>
<td align="center" valign="middle">sometimes (1&#x2013;2 times per week)</td>
<td align="center" valign="middle">31 (15.0%)</td>
<td align="center" valign="middle">20 (9.4%)</td>
</tr>
<tr>
<td align="center" valign="middle">often (3&#x2013;4 times per week)</td>
<td align="center" valign="middle">10 (4.9%)</td>
<td align="center" valign="middle">13 (6.1%)</td>
</tr>
<tr>
<td align="center" valign="middle">always (4&#x2013;5 times per week)</td>
<td align="center" valign="middle">2 (1.0%)</td>
<td align="center" valign="middle">2 (0.9%)</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="5">Sugar-sweetened beverages (N, %)</td>
<td align="center" valign="middle">almost never</td>
<td align="center" valign="middle">29 (14, 1%)</td>
<td align="center" valign="middle">54 (25.5%)</td>
<td align="center" valign="middle" rowspan="5">0.025&#x002A;</td>
</tr>
<tr>
<td align="center" valign="middle">occasionally (0&#x2013;1 times per week)</td>
<td align="center" valign="middle">130 (63.1%)</td>
<td align="center" valign="middle">125 (59.0%)</td>
</tr>
<tr>
<td align="center" valign="middle">sometimes (1&#x2013;2 times per week)</td>
<td align="center" valign="middle">33 (16.0%)</td>
<td align="center" valign="middle">26 (12.3%)</td>
</tr>
<tr>
<td align="center" valign="middle">often (3&#x2013;4 times per week)</td>
<td align="center" valign="middle">10 (4.9%)</td>
<td align="center" valign="middle">6 (2.8%)</td>
</tr>
<tr>
<td align="center" valign="middle">always (4&#x2013;5 times per week)</td>
<td align="center" valign="middle">4 (1.9%)</td>
<td align="center" valign="middle">1 (0.5%)</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="5">Milk tea (N, %)</td>
<td align="center" valign="middle">almost never</td>
<td align="center" valign="middle">28 (13.6%)</td>
<td align="center" valign="middle">54 (25.5%)</td>
<td align="center" valign="middle" rowspan="5">0.022 &#x002A;</td>
</tr>
<tr>
<td align="center" valign="middle">occasionally (0&#x2013;1 times per week)</td>
<td align="center" valign="middle">138 (67.0%)</td>
<td align="center" valign="middle">121 (57.1%)</td>
</tr>
<tr>
<td align="center" valign="middle">sometimes (1&#x2013;2 times per week)</td>
<td align="center" valign="middle">35 (17.0%)</td>
<td align="center" valign="middle">30 (14.2%)</td>
</tr>
<tr>
<td align="center" valign="middle">often (3&#x2013;4 times per week)</td>
<td align="center" valign="middle">4 (1.9%)</td>
<td align="center" valign="middle">7 (3.3%)</td>
</tr>
<tr>
<td align="center" valign="middle">always (4&#x2013;5 times per week)</td>
<td align="center" valign="middle">1 (0.5%)</td>
<td align="center" valign="middle">0 (0%)</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="5">Coffee (N, %)</td>
<td align="center" valign="middle">Never</td>
<td align="center" valign="middle">86 (41.7%)</td>
<td align="center" valign="middle">74 (34.9%)</td>
<td align="center" valign="middle" rowspan="5">0.091</td>
</tr>
<tr>
<td align="center" valign="middle">Occasionally (1&#x2013;2 times a month)</td>
<td align="center" valign="middle">73 (35.4)</td>
<td align="center" valign="middle">94 (44.3%)</td>
</tr>
<tr>
<td align="center" valign="middle">Frequently (1&#x2013;2 times a week)</td>
<td align="center" valign="middle">22 (10.7%)</td>
<td align="center" valign="middle">30 (14.2%)</td>
</tr>
<tr>
<td align="center" valign="middle">Always (1&#x202F;week&#x2265;3 times)</td>
<td align="center" valign="middle">14 (6.8%)</td>
<td align="center" valign="middle">9 (4.2%)</td>
</tr>
<tr>
<td align="center" valign="middle">almost never</td>
<td align="center" valign="middle">11 (5.3%)</td>
<td align="center" valign="middle">5 (2.4%)</td>
</tr>
<tr>
<td align="left" valign="middle">PRB scores (M&#x202F;&#x00B1;&#x202F;SD)</td>
<td align="center" valign="middle">occasionally (0&#x2013;1 times per week) sometimes (1&#x2013;2 times per week)</td>
<td align="center" valign="middle">10.64&#x202F;&#x00B1;&#x202F;2.487</td>
<td align="center" valign="middle">10.12&#x202F;&#x00B1;&#x202F;2.589</td>
<td align="center" valign="middle">0.038 &#x002A;</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="3">LPRB (N, %)</td>
<td align="center" valign="middle">often (3&#x2013;4 times per week)</td>
<td align="center" valign="middle" colspan="2">16 (3.8%)</td>
<td align="center" valign="middle" rowspan="9">0.793</td>
</tr>
<tr>
<td align="center" valign="middle">always (4&#x2013;5 times per week)</td>
<td align="center" valign="middle" colspan="2">23 (5.5%)</td>
</tr>
<tr>
<td align="center" valign="middle">Severe anxiety</td>
<td align="center" valign="middle" colspan="2">6 (1.4%)</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="3">MPRB (N, %)</td>
<td align="center" valign="middle">Mild anxiety</td>
<td align="center" valign="middle" colspan="2">138 (33.0%)</td>
</tr>
<tr>
<td align="center" valign="middle">Moderate anxiety</td>
<td align="center" valign="middle" colspan="2">131 (31.3%)</td>
</tr>
<tr>
<td align="center" valign="middle">Severe anxiety</td>
<td align="center" valign="middle" colspan="2">35 (8.4%)</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="3">HPRB (N, %)</td>
<td align="center" valign="middle">Mild anxiety</td>
<td align="center" valign="middle" colspan="2">31 (7.4%)</td>
</tr>
<tr>
<td align="center" valign="middle">Moderate anxiety</td>
<td align="center" valign="middle" colspan="2">31 (7.4%)</td>
</tr>
<tr>
<td align="center" valign="middle">Severe anxiety</td>
<td align="center" valign="middle" colspan="2">7 (1.7%)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>Significance at <italic>p</italic>&#x202F;&#x003C;&#x202F;0.05 is marked with one asterisk, and significance at <italic>p</italic>&#x202F;&#x003C;&#x202F;0.01 is marked with two asterisks. EPs indicate endometrial polyps, whereas NEPs represent nonendometrial polyps. BMI stands for body mass index. PRB indicate potentially risky beverages, LPRB indicate Low potentially risky beverages, MPRB indicate medium potentially risky beverages, HPRB indicate high potentially risky beverages. Continuous variables were analyzed using logistic regression to examine their association with the outcome variables, while categorical variables were evaluated using the chi-square test to assess differences in proportions between groups.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec16">
<title>The relationship between anxiety and EPs</title>
<p><xref ref-type="table" rid="tab2">Table 2</xref> analyzes the relationship between different levels of anxiety and Eps. It can be concluded from the table that there is no statistical significance between the average cumulative score of anxiety level and Eps (<italic>p</italic>&#x202F;=&#x202F;0.749), and there is no statistical significance between different levels of anxiety and Eps (<italic>p</italic>&#x202F;=&#x202F;0.353). <xref ref-type="table" rid="tab1">Table 1</xref> also analyzes the relationship between LPRB, MPRB, HPRB and different anxiety levels, and the statistical result (<italic>p</italic>&#x202F;=&#x202F;0.793) shows that there is no statistical significance between PRB intake and different anxiety levels. Based on the above results, we can conclude that anxiety is a universal phenomenon in women of childbearing age, and more than half of the people who participated in this study have some degree of anxiety. Appeal to the social audience of women&#x2019;s mental health.</p>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption>
<p>Association between anxiety levels and the occurrence of endometrial polyps.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" rowspan="2">Group</th>
<th align="center" valign="top">Average</th>
<th align="center" valign="top" rowspan="2"><italic>p</italic> value</th>
<th align="center" valign="top">None</th>
<th align="center" valign="top">Mild</th>
<th align="center" valign="top">Moderate</th>
<th align="center" valign="top">Severe</th>
<th align="center" valign="top">Total</th>
<th align="center" valign="top" rowspan="2"><italic>p</italic> value</th>
</tr>
<tr>
<th align="center" valign="top">Mean&#x202F;&#x00B1;&#x202F;SD</th>
<th align="center" valign="top">N, %</th>
<th align="center" valign="top">N, %</th>
<th align="center" valign="top">N, %</th>
<th align="center" valign="top">N, %</th>
<th align="center" valign="top">N, %</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle" rowspan="2">NEPs</td>
<td align="center" valign="middle" rowspan="2">5.388&#x202F;&#x00B1;&#x202F;4.116</td>
<td align="center" valign="middle" rowspan="4">0.749</td>
<td align="center" valign="middle">100</td>
<td align="center" valign="middle">85</td>
<td align="center" valign="middle">17</td>
<td align="center" valign="middle">10</td>
<td align="center" valign="middle">212</td>
<td align="center" valign="middle" rowspan="4">0.353</td>
</tr>
<tr>
<td align="center" valign="middle">47.20%</td>
<td align="center" valign="middle">40.10%</td>
<td align="center" valign="middle">8.00%</td>
<td align="center" valign="middle">4.70%</td>
<td align="center" valign="middle">100.00%</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="2">EPs</td>
<td align="center" valign="middle" rowspan="2">5.255&#x202F;&#x00B1;&#x202F;4.413</td>
<td align="center" valign="middle">85</td>
<td align="center" valign="middle">100</td>
<td align="center" valign="middle">12</td>
<td align="center" valign="middle">9</td>
<td align="center" valign="middle">206</td>
</tr>
<tr>
<td align="center" valign="middle">41.30%</td>
<td align="center" valign="middle">48.50%</td>
<td align="center" valign="middle">5.80%</td>
<td align="center" valign="middle">4.40%</td>
<td align="center" valign="middle">100.00%</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>EPs indicate endometrial polyps, whereas NEPs represent nonendometrial polyps. Categorical variables were evaluated using the chi-square test to assess differences in proportions between groups.</p>
</table-wrap-foot>
</table-wrap>
<p>Relationship Between PRB and EPs</p>
<p>The Spearman correlation test was employed to assess the relationship between five types of PRB and the incidence of EPs (<xref ref-type="table" rid="tab3">Table 3</xref>). The analysis revealed that sugar-sweetened beverages (<italic>p</italic>&#x202F;=&#x202F;0.020) and milk tea (<italic>p</italic>&#x202F;=&#x202F;0.047) were significantly associated with the occurrence of EPs. These findings suggest that higher consumption of milk tea and sugar-sweetened beverages may increase the risk of developing EPs.</p>
<table-wrap position="float" id="tab3">
<label>Table 3</label>
<caption>
<p>Analysis of the correlation between five types of potentially risky beverages and the incidence of endometrial polyps.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Items</th>
<th/>
<th align="center" valign="top">Endometrial polyps</th>
<th align="center" valign="top">Sugar-sweetened beverages</th>
<th align="center" valign="top">Carbonate beverages</th>
<th align="center" valign="top">Soybean milk</th>
<th align="center" valign="top">Coffee</th>
<th align="center" valign="top">Milk tea</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle" rowspan="2">Endometrial polyp</td>
<td align="left" valign="middle">Spearman correlation</td>
<td align="center" valign="middle">1</td>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle"><italic>p value</italic></td>
<td align="center" valign="middle">/</td>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle" rowspan="2">Sugar-sweetened beverages</td>
<td align="left" valign="middle">Spearman correlation</td>
<td align="center" valign="middle">0.153</td>
<td align="center" valign="middle">1</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle"><italic>p value</italic></td>
<td align="center" valign="middle">0.020&#x002A;</td>
<td align="center" valign="middle">/</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle" rowspan="2">Carbonate beverages</td>
<td align="left" valign="middle">Spearman correlation</td>
<td align="center" valign="middle">0.076</td>
<td align="center" valign="middle">0.380</td>
<td align="center" valign="middle">1</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle"><italic>p value</italic></td>
<td align="center" valign="middle">0.121</td>
<td align="center" valign="middle">0.000&#x002A;&#x002A;</td>
<td align="center" valign="middle">/</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle" rowspan="2">Soybean milk</td>
<td align="left" valign="middle">Spearman correlation</td>
<td align="center" valign="middle">&#x2212;0.017</td>
<td align="center" valign="middle">0.025</td>
<td align="center" valign="middle">0.056</td>
<td align="center" valign="middle">1</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle"><italic>p value</italic></td>
<td align="center" valign="middle">0.726</td>
<td align="center" valign="middle">0.613</td>
<td align="center" valign="middle">0.251</td>
<td align="center" valign="middle">/</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle" rowspan="2">Coffee</td>
<td align="left" valign="middle">Spearman correlation</td>
<td align="center" valign="middle">0.018</td>
<td align="center" valign="middle">0.194</td>
<td align="center" valign="middle">0.146</td>
<td align="center" valign="middle">0.047</td>
<td align="center" valign="middle">1</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle"><italic>p value</italic></td>
<td align="center" valign="middle">0.713</td>
<td align="center" valign="middle">0.000&#x002A;&#x002A;</td>
<td align="center" valign="middle">0.003&#x002A;&#x002A;</td>
<td align="center" valign="middle">0.348</td>
<td align="center" valign="middle">/</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle" rowspan="2">Milk tea</td>
<td align="left" valign="middle">Spearman correlation</td>
<td align="center" valign="middle">0.097</td>
<td align="center" valign="middle">0.575</td>
<td align="center" valign="middle">0.397</td>
<td align="center" valign="middle">0.071</td>
<td align="center" valign="middle">0.232</td>
<td align="center" valign="middle">1</td>
</tr>
<tr>
<td align="left" valign="middle"><italic>p value</italic></td>
<td align="center" valign="middle">0.047&#x002A;</td>
<td align="center" valign="middle">0.000&#x002A;&#x002A;</td>
<td align="center" valign="middle">0.000&#x002A;&#x002A;</td>
<td align="center" valign="middle">0.146</td>
<td align="center" valign="middle">0.000&#x002A;&#x002A;</td>
<td align="center" valign="middle">/</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>Significance at <italic>p</italic>&#x202F;&#x003C;&#x202F;0.05 is marked with one asterisk, and significance at <italic>p</italic>&#x202F;&#x003C;&#x202F;0.01 is marked with two asterisks. The Spearman correlation test was used to analyze the relationships among Eps and different kinds of drinks.</p>
</table-wrap-foot>
</table-wrap>
<p>This study employs logistic regression to investigate the relationship between PRB intake and the risk of developing EPs (<xref ref-type="table" rid="tab4">Table 4</xref>). In the analysis of unadjusted covariates, the results indicate that the MPRB drinks has an odds ratio (OR) of 2.026 (95% CI: 1.048&#x2013;3.918, <italic>p</italic>&#x202F;=&#x202F;0.036), whereas the high-income group has an OR of 2.452 (95% CI: 1.123&#x2013;5.351, <italic>p</italic>&#x202F;=&#x202F;0.024). Both groups had odds ratios greater than 1, suggesting that PRB intake may be associated with an elevated risk of ectopic pregnancies (EPs). Model 1 adjusts for age, body mass index, marital status, and other relevant factors, and the results remain consistent with the unadjusted analysis. Model 2 adjusts for age, body mass index, marital status, education level, household income, sexual history, pregnancy history, history of miscarriage and childbirth, and smoking and drinking habits. The results remain consistent with those of the previous models. Overall, the findings suggest that MPRB and HPRB intake are associated with an elevated risk of EPs, with odds ratios of 2.348 (95% CI: 1.153&#x2013;4.780, <italic>p</italic>&#x202F;=&#x202F;0.019) and 2.905 (95% CI: 1.2466.769, <italic>p</italic>&#x202F;=&#x202F;0.0014), respectively.</p>
<table-wrap position="float" id="tab4">
<label>Table 4</label>
<caption>
<p>Regression analysis of logistics between potentially risky beverages and endometrial polyps.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Model</th>
<th align="center" valign="top" colspan="9">Beverage intake</th>
</tr>
<tr>
<th/>
<th align="center" valign="top" colspan="3">Low</th>
<th align="center" valign="top" colspan="3">Moderate</th>
<th align="center" valign="top" colspan="3">High</th>
</tr>
<tr>
<th/>
<th align="center" valign="middle">OR</th>
<th align="center" valign="middle">95% CI</th>
<th align="center" valign="middle">
<italic>p value</italic>
</th>
<th align="center" valign="middle">OR</th>
<th align="center" valign="middle">95% CI</th>
<th align="center" valign="middle">
<italic>p value</italic>
</th>
<th align="center" valign="middle">OR</th>
<th align="center" valign="middle">95% CI</th>
<th align="center" valign="middle">
<italic>p value</italic>
</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">Crude</td>
<td align="center" valign="middle" colspan="3" rowspan="3">Ref.</td>
<td align="center" valign="middle">2.026</td>
<td align="center" valign="middle">1.048&#x2013;3.918</td>
<td align="center" valign="middle">0.036 &#x002A;</td>
<td align="center" valign="middle">2.452</td>
<td align="center" valign="middle">1.123&#x2013;5.351</td>
<td align="center" valign="middle">0.024 &#x002A;</td>
</tr>
<tr>
<td align="left" valign="middle">Model 1</td>
<td align="center" valign="middle">2.132</td>
<td align="center" valign="middle">1.066&#x2013;4.262</td>
<td align="center" valign="middle">0.032 &#x002A;</td>
<td align="center" valign="middle">2.841</td>
<td align="center" valign="middle">1.247&#x2013;6.475</td>
<td align="center" valign="middle">0.013 &#x002A;</td>
</tr>
<tr>
<td align="left" valign="middle">Model 2</td>
<td align="center" valign="middle">2.348</td>
<td align="center" valign="middle">1.153&#x2013;4.78</td>
<td align="center" valign="middle">0.019 &#x002A;</td>
<td align="center" valign="middle">2.905</td>
<td align="center" valign="middle">1.246&#x2013;6.769</td>
<td align="center" valign="middle">0.014 &#x002A;</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>Crude: Unadjusted. Model 1: Adjusted age, BMI, Marital status. Model 2: Adjusted age, BMI, marital status, Degree of education, Per capita monthly household income, sexual life, whether pregnant or not, history of abortion, childbearing history, smoke and drinking history. Significance at <italic>p</italic>&#x202F;&#x003C;&#x202F;0.05 is marked with one asterisk. Potentially risky beverages with a cumulative rating of 5&#x2013;8 are considered &#x201C;Low,&#x201D; those with a cumulative rating of 9&#x2013;12 are considered &#x201C;Moderate,&#x201D; and those with a cumulative rating of 13&#x2013;25 are considered &#x201C;High.&#x201D; The binary logistic regression is used to regression the bicategorical variables, and the corresponding covariables are adjusted.</p>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec sec-type="discussion" id="sec17">
<title>Discussion</title>
<p>This case&#x2013;control study found that high frequency consumption of PRB was associated with an increased prevalence of EPs. This is the first paper on the relationship between potentially risky beverage intake and the prevalence of EPs. We also explored the association between different levels of anxiety and EPs, which has certain guiding implications for women&#x2019;s health.</p>
<p>As shown in <xref ref-type="table" rid="tab2">Table 2</xref> and <xref ref-type="fig" rid="fig2">Figure 2</xref>, despite the lack of statistical significance between anxiety levels and EPs (<italic>p</italic>&#x202F;=&#x202F;0.353), over half of the women in both the EPs group (58.7%) and the NEPs group (52.8%) exhibited varying degrees of anxiety. Anxiety is very common among women and affects their mental health (<xref ref-type="bibr" rid="ref21">21</xref>). Chronic anxiety can increase the risk of more serious diseases, such as major depressive episodes (<xref ref-type="bibr" rid="ref22">22</xref>), cardiovascular disease (<xref ref-type="bibr" rid="ref23">23</xref>), reproductive and postpartum health (<xref ref-type="bibr" rid="ref24">24</xref>), and menopausal health (<xref ref-type="bibr" rid="ref25">25</xref>). Dora Koller et al. reported a correlation between endometriosis and women&#x2019;s mental health (<xref ref-type="bibr" rid="ref26">26</xref>), and Rooney KL studies revealed a correlation between anxiety and infertility in women (<xref ref-type="bibr" rid="ref27">27</xref>). Although our study did not identify a significant association between anxiety levels and EPs, the fact that more than half of the participants experienced anxiety highlights the need for increased societal focus on the mental health of women.</p>
<p>We conducted a comprehensive assessment of beverage intake on the basis of beverage type and frequency. The PRB included in this assessment included carbonated drinks, soy milk, sugary beverages, milk tea, and coffee. Current research indicates that excessive consumption of sugar-sweetened beverages is associated with the onset of various diseases. The World Health Organization (WHO) reported that high sugar intake increases the risk of dental caries, overweight and obesity. Additional studies have shown that the consumption of sugar-sweetened beverages can increase the risk of chronic diseases, including diabetes, cardiovascular disease, gout, cancer, and premature death, thereby increasing the overall burden of disease (<xref ref-type="bibr" rid="ref28">28</xref>). A recent review of the evidence regarding the health outcomes of sugar intake, which comprehensively summarized the relationship between dietary sugar intake and multisystem diseases, indicated that high dietary sugar intake typically has a detrimental effect on health, particularly in its association with metabolic diseases (<xref ref-type="bibr" rid="ref29">29</xref>). The highest level of evidence was for effects on body weight, followed by gout, HDL cholesterol, and metabolic syndrome (<xref ref-type="bibr" rid="ref12">12</xref>). Currently, the relationship between excessive sugar intake and EPs remains inadequately understood; however, metabolic disturbances associated with high sugar consumption may contribute to an increased risk of EPs. Excessive sugar intake, for example, can lead to obesity, and adipose tissue in obese women secretes elevated levels of estrogen. This excess estrogen can stimulate endometrial hyperplasia, thereby increasing the risk of polyp formation (<xref ref-type="bibr" rid="ref30">30</xref>). Furthermore, excessive sugar intake may contribute to the development of insulin resistance, which is closely associated with endocrine disorders, including polycystic ovary syndrome (<xref ref-type="bibr" rid="ref31">31</xref>). A high-sugar diet promotes the occurrence of chronic low-grade inflammation in the body; especially under hyperglycemic conditions, the body&#x2019;s immune system may be disrupted, and more proinflammatory cytokines may be produced (<xref ref-type="bibr" rid="ref32">32</xref>). Long-term inflammation may lead to abnormal hyperplasia of the endometrium and the formation of polyps (<xref ref-type="bibr" rid="ref33">33</xref>).</p>
<p>Milk tea has become a highly popular daily beverage in China. Unlike traditional tea, milk tea contains not only tea but also relatively high levels of sugar, creamers, saturated fat, and additives. High consumption of sugar and creamers increases the risk of obesity, whereas excessive saturated fat negatively impacts lipid metabolism and increases cardiovascular risk (<xref ref-type="bibr" rid="ref34">34</xref>). The correlation analysis revealed that milk tea intake was significantly associated with EPs (OR&#x202F;=&#x202F;0.097, <italic>p</italic>&#x202F;=&#x202F;0.047), which aligns with the adverse health effects associated with sugar-sweetened beverages.</p>
<p>Our study revealed no significant associations between coffee, soy milk, or carbonated beverages and the prevalence of EPs. However, this did not imply that these beverages are either safe or harmful. Current research on coffee presents mixed findings. Caffeine is the primary component of coffee. One study examining the relationship between caffeine and estrogen levels reported that increased caffeine intake may increase estrogen levels (<xref ref-type="bibr" rid="ref14">14</xref>). Caffeine consumption is associated with favorable effects on a variety of health outcomes in women, including some diseases related to estrogen metabolism (<xref ref-type="bibr" rid="ref35">35</xref>). Moreover, caffeine intake is often linked to increased social stress, greater life burdens, reduced physical activity, and poor sleep quality. Unhealthy lifestyles, characterized by poor psychological well-being, inadequate sleep, and a lack of exercise, are frequently associated with a higher incidence of chronic diseases (<xref ref-type="bibr" rid="ref36">36</xref>). Further cohort studies and gene-related research are necessary to investigate the potential causal relationship between coffee consumption and endometrial health. This study revealed that soy milk and other soy products contain phytoestrogens, primarily isoflavones, which have a weak effect, and typical dietary intake does not result in significant endocrine disruption (<xref ref-type="bibr" rid="ref37">37</xref>). Conversely, these phytoestrogens may have a beneficial effect on regulating estrogen levels in the body, acting as &#x201C;antiestrogens&#x201D; when estrogen levels are excessively high. Alternatively, when estrogen levels are low, these compounds may exert a mild estrogenic effect, aiding in the regulation of hormonal balance (<xref ref-type="bibr" rid="ref38">38</xref>). Additionally, our correlation analysis indicates that there may be a beneficial relationship between the two (OR&#x202F;=&#x202F;&#x2212;0.17, <italic>p</italic>&#x202F;=&#x202F;0.726).</p>
<p>Sugar-sweetened carbonated beverages, commonly referred to as soft drinks, are made by carbonating liquid with carbon dioxide gas and sweetening the mixture. Their main components include white sugars, coloring agents, flavorings, carbonated water, acidulants, and sweeteners (<xref ref-type="bibr" rid="ref39">39</xref>). Carbonated beverages are widely consumed in daily life. An increasing body of research has identified a strong link between the long-term consumption of carbonated beverages and numerous health issues (<xref ref-type="bibr" rid="ref40">40</xref>), including excessive caloric intake, reduced consumption of dairy products and other nutrients, and a heightened risk of dental caries, osteoporosis, depression, behavioral disorders, and other psychological problems (<xref ref-type="bibr" rid="ref41">41</xref>). This consumption is also closely associated with obesity, diabetes, metabolic syndrome, gout, and high blood pressure, particularly in children and adolescents (<xref ref-type="bibr" rid="ref42">42</xref>), gout is closely associated with hypertension (<xref ref-type="bibr" rid="ref43">43</xref>). A case&#x2013;control study examining the relationship between carbonated beverages and obesity revealed a monotonic, linear dose&#x2013;response association between Sugar-sweetened carbonated beverages consumption and obesity (<italic>p</italic>&#x202F;=&#x202F;0.02), as well as increases in BMI and percentage of body fat mass (<xref ref-type="bibr" rid="ref39">39</xref>). Sugar-sweetened beverage consumption and age at menarche in a prospective study of American girls (<xref ref-type="bibr" rid="ref44">44</xref>). Frequent consumption of carbonated beverages is associated with earlier menarche, and a 1-year decrease in the age of menarche correlates with a 5% increased risk of breast cancer (<xref ref-type="bibr" rid="ref45">45</xref>, <xref ref-type="bibr" rid="ref46">46</xref>). Suggesting a correlation between carbonated beverage consumption and women&#x2019;s health. Carbonated beverage consumption may induce a state of chronic inflammation in the body, which can result in the production of additional proinflammatory cytokines (<xref ref-type="bibr" rid="ref47">47</xref>, <xref ref-type="bibr" rid="ref48">48</xref>). A chronic inflammatory environment can contribute to the development of EPs (<xref ref-type="bibr" rid="ref49">49</xref>).</p>
<sec id="sec18">
<title>Limitations and prospects of the current study</title>
<p>One of the strengths of this case&#x2013;control study is that it is the first to examine the relationship between the incidence of EPs and the frequency of consumption of PRB in women of childbearing age, while also exploring the connection between EPs and different levels of anxiety. In everyday life, understanding the intake of PRB among women of reproductive age holds important guiding significance, emphasizing the need for society to pay attention to the dietary habits and mental health of this population.</p>
<p>However, the study has several limitations. The participants were patients from the gynecological outpatient department at Chengdu University of Traditional Chinese Medicine, and the cases were sourced from a specific region, which means the findings primarily reflect the relationship between PRB intake and EPs among women in southwest China. Despite this, all patients with EPs met international diagnostic criteria, and strict inclusion criteria were applied to ensure the accuracy of the results.</p>
<p>The questionnaire was designed to assess the frequency of PRB consumption but did not include a quantitative evaluation of total beverage intake, which limited the ability to analyze the linear correlation between beverage consumption and EPs. However, by categorizing beverage intake based on frequency, it was divided into low, medium, and high levels, which better represented the actual intake patterns to some extent, providing a crucial analytical foundation for investigating the relationship between beverage intake levels and the occurrence of EPs.</p>
<p>Furthermore, since age and reproductive history may influence the risk of EPs, this study controlled for these potential confounders by using logistic regression to ensure the accuracy of the findings. To mitigate recall bias, a contradictory option was included in the questionnaire to verify the accuracy of responses. If contradictory answers were identified, the corresponding data were excluded to ensure the integrity of the dataset.</p>
<p>Despite these limitations, the study was designed in strict accordance with the STROBE observational study guidelines, and the statistical analysis was properly conducted.</p>
</sec>
</sec>
<sec sec-type="conclusions" id="sec19">
<title>Conclusion</title>
<p>Based on the results, there was a significant correlation between increased intake of PRB and a higher prevalence of EPs. Additionally, more than half of the participants exhibited varying degrees of anxiety, underscoring the importance of addressing women&#x2019;s health concerns in society. This study also provides a valuable reference for future research aiming to quantitatively evaluate the linear relationship between beverage consumption and EPs.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="sec20">
<title>Data availability statement</title>
<p>The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/<xref ref-type="sec" rid="sec27">Supplementary material</xref>.</p>
</sec>
<sec sec-type="ethics-statement" id="sec21">
<title>Ethics statement</title>
<p>This observational study was approved by the Ethics Committee of the Hospital of Chengdu University of Traditional Chinese Medicine and registered in the <ext-link xlink:href="http://ClinicalTrial.gov" ext-link-type="uri">ClinicalTrial.gov</ext-link> (NCT06295510). 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="sec22">
<title>Author contributions</title>
<p>RF: Formal analysis, Software, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. SZ: Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. CC: Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. XW: Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. YJ: Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. XZ: Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. JZ: Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. XJ: Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. CY: Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing.</p>
</sec>
<sec sec-type="funding-information" id="sec23">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. National Administration of Traditional Chinese Medicine-Wei Shaobin National Renowned Traditional Chinese Medicine Experts Workshop Construction Project, National Renowned Traditional Chinese Medicine Experts Inheritance Workshop Construction Project, project no. 2100601-Chinese Medicine (Ethnic Medicine) Special Project (May 2022&#x2013;December 2024).</p>
</sec>
<ack>
<p>Thank you for the great contribution to the field included in the article.</p>
</ack>
<sec sec-type="COI-statement" id="sec24">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="ai-statement" id="sec25">
<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="sec26">
<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>
<sec sec-type="supplementary-material" id="sec27">
<title>Supplementary material</title>
<p>The Supplementary material for this article can be found online at: <ext-link xlink:href="https://www.frontiersin.org/articles/10.3389/fnut.2025.1538405/full#supplementary-material" ext-link-type="uri">https://www.frontiersin.org/articles/10.3389/fnut.2025.1538405/full#supplementary-material</ext-link></p>
</sec>
<fn-group>
<title>Abbreviations</title>
<fn fn-type="abbr">
<p>EPs, Endometrial polyps; NEPs, Nonendometrial polyps; PRB, Potentially risky beverages; LPRB, Low potentially risky beverages; MPRB, Medium potentially risky beverages; HPRB, High potentially risky beverages; FBQ, Beverage frequency questionnaire.</p>
</fn>
</fn-group>
<fn-group>
<fn id="fn0001"><p><sup>1</sup><ext-link xlink:href="https://app.diagrams.net/" ext-link-type="uri">https://app.diagrams.net/</ext-link></p></fn>
</fn-group>
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