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  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">87</journal-id>
      <journal-id journal-id-type="index">urn:lsid:arphahub.com:pub:A116C711-4C18-5A38-8F1E-5E97753A8A64</journal-id>
      <journal-title-group>
        <journal-title xml:lang="en">Folia Medica</journal-title>
        <abbrev-journal-title xml:lang="en">FM</abbrev-journal-title>
      </journal-title-group>
      <issn pub-type="ppub">0204-8043</issn>
      <issn pub-type="epub">1314-2143</issn>
      <publisher>
        <publisher-name>Plovdiv Medical University</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.3897/folmed.67.e159172</article-id>
      <article-id pub-id-type="publisher-id">159172</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Research Article</subject>
        </subj-group>
        <subj-group subj-group-type="scientific_subject">
          <subject>Geriatrics</subject>
          <subject>Metabolic disorders</subject>
          <subject>Public health</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>﻿Thyroid dysfunction and metabolic syndrome: age- and sex-related associations in hospitalized patients</article-title>
      </title-group>
      <contrib-group content-type="authors">
        <contrib contrib-type="author" corresp="yes">
          <name name-style="western">
            <surname>Kisova</surname>
            <given-names>Stefanka Z.</given-names>
          </name>
          <email xlink:type="simple">Stefanka.Kisova@phd.mu-plovdiv.bg</email>
          <uri content-type="orcid">https://orcid.org/0000-0001-9444-7265</uri>
          <xref ref-type="aff" rid="A1">1</xref>
          <xref ref-type="aff" rid="A2">2</xref>
        </contrib>
        <contrib contrib-type="author" corresp="no">
          <name name-style="western">
            <surname>Orbetzova</surname>
            <given-names>Maria M.</given-names>
          </name>
          <xref ref-type="aff" rid="A1">1</xref>
          <xref ref-type="aff" rid="A2">2</xref>
        </contrib>
        <contrib contrib-type="author" corresp="no">
          <name name-style="western">
            <surname>Argirov</surname>
            <given-names>Kristian R.</given-names>
          </name>
          <xref ref-type="aff" rid="A2">2</xref>
        </contrib>
      </contrib-group>
      <aff id="A1">
        <label>1</label>
        <addr-line>Clinic of Endocrinology and Metabolic Diseases, St George University Hospital, Plovdiv, Bulgaria</addr-line>
      </aff>
      <aff id="A2">
        <label>2</label>
        <addr-line>Department of Endocrinology, Faculty of Medicine, Medical University of Plovdiv, Plovdiv, Bulgaria</addr-line>
      </aff>
      <aff id="A3">
        <label>3</label>
        <addr-line>Department of Human Anatomy, Histology and Embryology, Faculty of Medicine, Medical University of Plovdiv, Plovdiv, Bulgaria</addr-line>
      </aff>
      <author-notes>
        <fn fn-type="corresp">
          <p>Corresponding author: Stefanka Z. Kisova, Clinic of Endocrinology and Metabolic Diseases, St George University Hospital, Plovdiv, Bulgaria; Email: <email xlink:type="simple">Stefanka.Kisova@phd.mu-plovdiv.bg</email></p>
        </fn>
      </author-notes>
      <pub-date pub-type="collection">
        <year>2025</year>
      </pub-date>
      <pub-date pub-type="epub">
        <day>30</day>
        <month>10</month>
        <year>2025</year>
      </pub-date>
      <volume>67</volume>
      <issue>5</issue>
      <elocation-id>e159172</elocation-id>
      <uri content-type="arpha" xlink:href="http://openbiodiv.net/0B58A0FF-E18B-5B04-88D8-32953C1071DE">0B58A0FF-E18B-5B04-88D8-32953C1071DE</uri>
      <history>
        <date date-type="received">
          <day>16</day>
          <month>05</month>
          <year>2025</year>
        </date>
        <date date-type="accepted">
          <day>19</day>
          <month>06</month>
          <year>2025</year>
        </date>
      </history>
      <permissions>
        <copyright-statement>Stefanka Z. Kisova, Maria M. Orbetzova, Kristian R. Argirov</copyright-statement>
        <license license-type="creative-commons-attribution" xlink:href="http://creativecommons.org/licenses/by/4.0/" xlink:type="simple">
          <license-p>This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</license-p>
        </license>
      </permissions>
      <abstract>
        <label>﻿Abstract</label>
        <p><bold>Introduction</bold>: Thyroid hormones exert pleiotropic effects on lipid and glucose metabolism, blood pressure regulation, and energy expenditure. Thyroid dysfunction is a known risk factor for cardiovascular disease. The association between thyroid pathology and the components of metabolic syndrome (MetS) has emerged as a significant clinical focus, as both conditions contribute to increased morbidity and mortality. Studies indicate that patients with overt and subclinical hypothyroidism have a higher risk of developing MetS. Even in euthyroid individuals, <abbrev xlink:title="thyroid-stimulating hormone" id="ABBRID0EZD">TSH</abbrev> levels in the upper normal range (&gt;2.5 mIU/L) are significantly associated with increased MetS prevalence.</p>
        <p><bold>Aim</bold>: To investigate the correlations between thyroid dysfunction and metabolic syndrome, with a specific focus on age and sex differences.</p>
        <p><bold>Materials and methods</bold>: This naturally randomized observational study included 726 patients with thyroid pathology hospitalized at the Clinic of Endocrinology, St George University Hospital in Plovdiv between October 2019 and December 2021. Data were extracted from the electronic system GammaCodeMaster and medical records, including clinical, anthropometric, and biochemical parameter.</p>
        <p><bold>Results</bold>: The study revealed a trend of increasing MetS prevalence with advancing age. The highest proportions of patients with MetS were observed in the 51–61 and 62–72 age groups, accounting for 39.1% and 29.7%, respectively. A statistically significant positive correlation between <abbrev xlink:title="thyroid-stimulating hormone" id="ABBRID0EJE">TSH</abbrev> levels and age was also established (<italic>p</italic>&lt;0.05).</p>
        <p><bold>Conclusion</bold>: Given these findings, it is essential to assess the presence of MetS components in patients with thyroid pathology, as the combination of these factors considerably increases cardiovascular risk.</p>
      </abstract>
      <kwd-group>
        <label>Keywords</label>
        <kwd>age</kwd>
        <kwd>metabolic syndrome</kwd>
        <kwd>thyroid disorders</kwd>
        <kwd>TSH</kwd>
      </kwd-group>
    </article-meta>
    <notes>
      <sec sec-type="Citation" id="SECID0E1E">
        <title>Citation</title>
        <p>Kisova SZ, Orbetzova MM, Argirov KR. Thyroid dysfunction and metabolic syndrome: age- and sex-related associations in hospitalized patients. Folia Med (Plovdiv) 2025;67(5):е159172. doi: <ext-link xlink:type="simple" ext-link-type="doi" xlink:href="10.3897/folmed.67.e159172">10.3897/folmed.67.e159172</ext-link>.</p>
      </sec>
    </notes>
  </front>
  <body>
    <sec sec-type="﻿Introduction" id="SECID0EGF">
      <title>﻿Introduction</title>
      <p>Thyroid diseases are a major medical and biological concern because of the wide range of systemic effects they have on the human body. They are associated with an increased risk of cardiovascular diseases and accelerated atherogenesis, leading to rising mortality rates. Thyroid hormones play a key role in the regulation of metabolism, with the cardiovascular system being particularly sensitive to their fluctuations.</p>
      <p>The relationship between thyroid function and the components of metabolic syndrome (<abbrev xlink:title="metabolic syndrome" id="ABBRID0ENF">MS</abbrev>) is still not fully understood, although it is believed to be mediated by genomic and non-genomic mechanisms.<sup>[<xref ref-type="bibr" rid="B1">1</xref>]</sup> Several hypotheses have been proposed regarding this connection: thyroid hormones are involved in the pathogenesis of insulin resistance<sup>[<xref ref-type="bibr" rid="B2">2</xref>]</sup>, which in turn is considered a major etiological factor in the development of <abbrev xlink:title="metabolic syndrome" id="ABBRID0E6F">MS</abbrev>.<sup>[<xref ref-type="bibr" rid="B3">3</xref>, <xref ref-type="bibr" rid="B4">4</xref>]</sup> Furthermore, there are closely related interactions between the individual components of metabolic syndrome and thyroid function, suggesting the possibility that <abbrev xlink:title="metabolic syndrome" id="ABBRID0EOG">MS</abbrev> may arise as an end phenotype in the context of thyroid dysfunction.</p>
      <p>For example, hypothyroidism contributes to increased body weight, and thyroid-stimulating hormone (<abbrev xlink:title="thyroid-stimulating hormone" id="ABBRID0EUG">TSH</abbrev>) has been shown to positively correlate with body mass index (BMI) and the presence of obesity, even within reference ranges.<sup>[<xref ref-type="bibr" rid="B5">5</xref>]</sup> Both overt and subclinical hypothyroidism are associated with unfavorable lipid profiles, including hypercholesterolemia, reduced <abbrev xlink:title="high-density lipoproteins" id="ABBRID0E6G">HDL</abbrev>-cholesterol levels, and elevated blood pressure.<sup>[<xref ref-type="bibr" rid="B6">6</xref>]</sup></p>
    </sec>
    <sec sec-type="﻿Aim" id="SECID0EJH">
      <title>﻿Aim</title>
      <p>To investigate the correlations between thyroid dysfunction and metabolic syndrome, with a specific focus on age- and sex-specific patterns, and to evaluate whether elevated <abbrev xlink:title="thyroid-stimulating hormone" id="ABBRID0EPH">TSH</abbrev> levels—even within the reference range—are associated with increased metabolic risk.</p>
    </sec>
    <sec sec-type="materials|methods" id="SECID0ETH">
      <title>Materials and methods</title>
      <p>This study is a retrospective cross-sectional analysis involving 726 patients with thyroid pathology who were hospitalized in the Clinic of Endocrinology at St. George University Hospital in Plovdiv between October 2019 and December 2021. All procedures were conducted in accordance with the ethical standards of the Declaration of Helsinki and the established Good Clinical Practice guidelines. The study was approved by the Ethics Committee of the Medical University of Plovdiv (protocol No. 5/24.04.2025). Among the patients, 499 were diagnosed with Hashimoto’s thyroiditis (<abbrev xlink:title="Hashimoto’s thyroiditis" id="ABBRID0EZH">HT</abbrev>). The remaining 227 patients were distributed according to the following diagnoses: non-toxic thyroid nodule (n=24), multinodular goiter (<abbrev xlink:title="multinodular goiter" id="ABBRID0E4H">MNG</abbrev>) (n=59), diffuse toxic goiter (n=79), toxic multinodular goiter (n=11), malignant thyroid diseases (n=19), and postoperative hypothyroidism(n=35). All participants met the established inclusion criteria. The diagnosis of Hashimoto’s thyroiditis was based on a combination of clinical features, supported by the presence of thyroid autoantibodies (anti-Tg, anti-TPO), elevated or altered <abbrev xlink:title="thyroid-stimulating hormone" id="ABBRID0ECAAC">TSH</abbrev> levels, characteristic ultrasound findings, and, in rare cases when required, fine-needle aspiration biopsy (<abbrev xlink:title="fine-needle aspiration biopsy" id="ABBRID0EGAAC">FNAB</abbrev>). Hyperthyroidism was diagnosed through typical clinical presentation and confirmed by thyroid hormone tests (<abbrev xlink:title="thyroid-stimulating hormone" id="ABBRID0EKAAC">TSH</abbrev>, T3, and T4). Graves’ disease was identified by diffuse goiter, positive family history, ophthalmopathy, and elevated TRAb or TSI levels. High-resolution thyroid ultrasound was used to evaluate nodules with suspicious features, including hypoechogenicity, irregular margins, microcalcifications, a taller-than-wide shape, and abnormal cervical lymph nodes. <abbrev xlink:title="fine-needle aspiration biopsy" id="ABBRID0EOAAC">FNAB</abbrev> was performed for definitive diagnosis of malignancy. Thyroid scintigraphy was applied in nodules &gt;1 cm with suppressed <abbrev xlink:title="thyroid-stimulating hormone" id="ABBRID0ESAAC">TSH</abbrev>. Patients included both newly diagnosed and previously diagnosed individuals, with or without ongoing treatment.</p>
      <p>During their hospitalization, all patients had their anthropometric, instrumental, and biochemical parameters measured. Body height (cm) and weight (kg) were measured, and BMI was calculated using the standard formula: weight (kg)/[height (m)]<sup>2</sup>.</p>
      <p>Fasting blood samples were collected between 07:00 and 09:00 AM, in accordance with all standard patient preparation requirements. Serum levels of thyroid-stimulating hormone (<abbrev xlink:title="thyroid-stimulating hormone" id="ABBRID0E3AAC">TSH</abbrev>), free triiodothyronine (<abbrev xlink:title="free triiodothyronine" id="ABBRID0EABAC">FT3</abbrev>), and free thyroxine (<abbrev xlink:title="free thyroxine" id="ABBRID0EEBAC">FT4</abbrev>) were measured using chemiluminescent immunoassay on the fully automated Access 2 Immunoassay System (Beckman Coulter Inc., USA). Metabolic parameters—total cholesterol (<abbrev xlink:title="total cholesterol" id="ABBRID0EIBAC">TC</abbrev>), triglycerides (<abbrev xlink:title="triglycerides" id="ABBRID0EMBAC">TG</abbrev>), low-density (<abbrev xlink:title="low-density" id="ABBRID0EQBAC">LDL</abbrev>) and high-density lipoproteins (<abbrev xlink:title="high-density lipoproteins" id="ABBRID0EUBAC">HDL</abbrev>), as well as fasting plasma glucose (<abbrev xlink:title="fasting plasma glucose" id="ABBRID0EYBAC">FPG</abbrev>)—were analyzed enzymatically using the AU 480 clinical chemistry analyzer (Beckman Coulter, USA) with validated standard methods. Reference ranges for the laboratory parameters used were as follows: <abbrev xlink:title="thyroid-stimulating hormone" id="ABBRID0E3BAC">TSH</abbrev>: 0.34–5.60 mIU/L; <abbrev xlink:title="free triiodothyronine" id="ABBRID0EACAC">FT3</abbrev>: 3.8–6.0 pmol/L; <abbrev xlink:title="free thyroxine" id="ABBRID0EECAC">FT4</abbrev>: 7.86–14.41 pmol/L; <abbrev xlink:title="total cholesterol" id="ABBRID0EICAC">TC</abbrev>: 3.0–5.2 mmol/L; <abbrev xlink:title="triglycerides" id="ABBRID0EMCAC">TG</abbrev>: 0.4–1.70 mmol/L; <abbrev xlink:title="low-density" id="ABBRID0EQCAC">LDL</abbrev>: 2.6–4.1 mmol/L; <abbrev xlink:title="high-density lipoproteins" id="ABBRID0EUCAC">HDL</abbrev>: 1.03–1.60 mmol/L; and <abbrev xlink:title="fasting plasma glucose" id="ABBRID0EYCAC">FPG</abbrev>: 2.8–6.1 mmol/L.</p>
      <p>A statistical analysis of the data was conducted using univariate and bivariate distributions and descriptive statistics methods. The Student’s t-test was employed to compare two independent groups with normal distribution. The results were graphically represented using Microsoft PowerPoint, and statistical analyses were performed using SPSS software, version 19.0 (Chicago, IL, USA). A <italic>p</italic>-value of less than 0.05 was considered to be statistically significant.</p>
    </sec>
    <sec sec-type="﻿Results" id="SECID0EADAC">
      <title>﻿Results</title>
      <p>Given the well-documented differences in the prevalence of thyroid gland disorders between sexes, a percentage-based distribution of patients by sex was performed <bold>(Fig. <xref ref-type="fig" rid="F1">1</xref>)</bold>.</p>
      <fig id="F1" position="float" orientation="portrait">
        <object-id content-type="arpha">50F95AEF-63F1-56C1-A97F-96510F313110</object-id>
        <label>Figure 1</label>
        <caption>
          <p>. Distribution of the studied patients by sex.</p>
        </caption>
        <graphic xlink:href="foliamedica-67-5-e159172-g001.jpg" position="float" orientation="portrait" xlink:type="simple" id="oo_1452899.jpg">
          <uri content-type="original_file">https://binary.pensoft.net/fig/1452899</uri>
        </graphic>
      </fig>
      <p>Analysis of the overall sample showed that thyroid pathology was significantly more common in women—83.3%, whereas men represented only 16.7% of the studied cases. This approximately 5:1 female-to-male ratio corresponds with established epidemiological trends and may partly be explained by the higher frequency of healthcare-seeking behavior and preventive checkups among women. In addition to behavioral factors, biological mechanisms also contribute to the observed female predominance in thyroid disorders. Women generally exhibit a more active immune response, which predisposes them to autoimmune conditions, including Hashimoto’s thyroiditis and Graves’ disease. Furthermore, hormonal fluctuations—particularly during pregnancy, the postpartum period, and menopause—can influence thyroid function and autoimmunity, thereby increasing the risk of thyroid dysfunction in females.</p>
      <p>A clear predominance of female patients was observed across all forms of thyroid pathology, with prevalence increasing progressively with age. Thyroid hormones exert pleiotropic effects on lipid and glucose metabolism, blood pressure regulation, and energy expenditure, which is why thyroid dysfunction is regarded as an independent risk factor for cardiovascular disease.</p>
      <p>The growing interest in the interaction between thyroid dysfunction and the components of metabolic syndrome (MetS) is justified by the fact that both conditions are associated with considerable morbidity and mortality. Recent studies suggest that elevated levels of thyroid-stimulating hormone (<abbrev xlink:title="thyroid-stimulating hormone" id="ABBRID0ERDAC">TSH</abbrev>), even within the reference range, may be linked to an unfavorable lipid profile. It has been demonstrated that both clinical and subclinical hypothyroidism are associated with an increased risk of developing MetS.<sup>[<xref ref-type="bibr" rid="B7">7</xref>]</sup> Particularly relevant are findings indicating that even within the euthyroid range, <abbrev xlink:title="thyroid-stimulating hormone" id="ABBRID0E3DAC">TSH</abbrev> levels &gt;2.5 mIU/L may be linked to adverse metabolic outcomes. Ruhla et al.<sup>[<xref ref-type="bibr" rid="B8">8</xref>]</sup> observed that <abbrev xlink:title="thyroid-stimulating hormone" id="ABBRID0EHEAC">TSH</abbrev> levels below 2.5 mIU/L correlated with a more favorable metabolic profile, while Oh et al.<sup>[<xref ref-type="bibr" rid="B9">9</xref>]</sup> recommended screening for MetS in apparently healthy women with <abbrev xlink:title="thyroid-stimulating hormone" id="ABBRID0ESEAC">TSH</abbrev> levels exceeding 2.5 mIU/L. Nonetheless, some studies report conflicting evidence and do not support a statistically significant association between <abbrev xlink:title="thyroid-stimulating hormone" id="ABBRID0EWEAC">TSH</abbrev> and MetS prevalence<sup>[<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B11">11</xref>]</sup>, which may reflect differences in study design, population characteristics, or MetS diagnostic criteria. These inconsistencies underscore the need for further investigation, and future analyses could benefit from sensitivity assessments using different <abbrev xlink:title="thyroid-stimulating hormone" id="ABBRID0EFFAC">TSH</abbrev> thresholds.</p>
      <sec sec-type="Metabolic syndrome" id="SECID0EJFAC">
        <title>Metabolic syndrome</title>
        <p>Metabolic syndrome (also known as syndrome X or insulin resistance syndrome) is a multifactorial clinical continuum with a variety of negative health consequences. The condition arises on the basis of insulin resistance<sup>[<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B13">13</xref>]</sup> and includes a combination of risk factors for the development of type 2 diabetes, coronary artery disease, metabolic dysfunction-associated steatotic liver disease (<abbrev xlink:title="metabolic dysfunction-associated steatotic liver disease" id="ABBRID0E1FAC">MASLD</abbrev>), and certain types of malignancies.</p>
        <p>The most commonly used diagnostic criteria for metabolic syndrome include a combination of the following parameters<sup>[<xref ref-type="bibr" rid="B14">14</xref>]</sup>: waist circumference ≥102 cm in men and ≥88 cm in women; triglycerides ≥1.70 mmol/L; <abbrev xlink:title="high-density lipoproteins" id="ABBRID0EHGAC">HDL</abbrev>-cholesterol &lt;1.03 mmol/L in men and &lt;1.29 mmol/L in women; blood pressure ≥130/85 mmHg or use of antihypertensive therapy; and fasting plasma glucose ≥5.6 mmol/L.</p>
        <p>The diagnosis of metabolic syndrome is established when at least three of the above criteria are present. It should be noted that the diagnostic cut-off values may vary across different international organizations, and additional factors such as age, ethnicity, and family history also influence the risk of developing metabolic syndrome.</p>
        <p>In our study, patients were divided into the following clinical groups: Hashimoto’s thyroiditis, Graves’ disease (GD), multinodular goiter (<abbrev xlink:title="multinodular goiter" id="ABBRID0EOGAC">MNG</abbrev>), and thyroid adenoma, as well as postoperative hypothyroidism—including patients with previous surgery due to thyroid carcinoma, <abbrev xlink:title="multinodular goiter" id="ABBRID0ESGAC">MNG</abbrev>, or GD.</p>
        <p>A total of 499 patients were diagnosed with Hashimoto’s thyroiditis, of whom 417 were women (83.6%) and 82 were men (16.4%). The remaining thyroid disorders encompassed 227 cases and are summarized in <bold>Table <xref ref-type="table" rid="T1">1</xref></bold>.</p>
        <table-wrap id="T1" position="float" orientation="portrait">
          <label>Table 1</label>
          <caption>
            <p>. Percentage distribution of patients by admission diagnosis</p>
          </caption>
          <table id="TID0EEIAE" rules="all">
            <tbody>
              <tr>
                <td rowspan="1" colspan="1">
                  <bold>Diagnosis</bold>
                </td>
                <td rowspan="1" colspan="1">
                  <bold>Number</bold>
                </td>
                <td rowspan="1" colspan="1">% <bold>of 227</bold></td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Thyroid adenoma (non-toxic nodule)</td>
                <td rowspan="1" colspan="1">24</td>
                <td rowspan="1" colspan="1">10.6%</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Multinodular goiter (<abbrev xlink:title="multinodular goiter" id="ABBRID0EBLAE">MNG</abbrev>)</td>
                <td rowspan="1" colspan="1">59</td>
                <td rowspan="1" colspan="1">26.0%</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Graves’ disease (thyrotoxicosis with diffuse goiter)</td>
                <td rowspan="1" colspan="1">79</td>
                <td rowspan="1" colspan="1">34.8%</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Toxic multinodular goiter / solitary toxic nodule</td>
                <td rowspan="1" colspan="1">11</td>
                <td rowspan="1" colspan="1">4.8%</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Thyroid malignancy</td>
                <td rowspan="1" colspan="1">19</td>
                <td rowspan="1" colspan="1">8.4%</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Postoperative hypothyroidism</td>
                <td rowspan="1" colspan="1">35</td>
                <td rowspan="1" colspan="1">15.4%</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
        <p>The sex distribution among patients with autoimmune thyroid diseases (<abbrev xlink:title="Hashimoto’s thyroiditis" id="ABBRID0EAHAC">HT</abbrev> and GD) was 477 women (82.5%) and 101 men (17.5%). The total number of patients with autoimmune thyroid disorders (<abbrev xlink:title="Hashimoto’s thyroiditis" id="ABBRID0EEHAC">HT</abbrev> and GD) amounted to 578, representing 79.6% of all 726 cases.</p>
        <p>Notable trends in the diagnostic structure include:</p>
        <p>Thyroid adenomas: accounted for approximately 10.6% of the reviewed patients and were evenly distributed across all age groups, with no clear sex predominance.</p>
        <p>Multinodular goiter: increased with age. The highest frequency was observed in the 62–72 years age group (35.6% of the cases in this category).</p>
        <p>Graves’ disease was the most common form of thyrotoxicosis, comprising 34.8% of the remaining 227 non-<abbrev xlink:title="Hashimoto’s thyroiditis" id="ABBRID0ENHAC">HT</abbrev> cases. The disease predominated among women aged between 29 and 50 years.</p>
      </sec>
      <sec sec-type="Age and sex distribution of the study population" id="SECID0ERHAC">
        <title>Age and sex distribution of the study population</title>
        <p>The studied patients were categorized into six age subgroups, defined by decades: 18–28 years, 29–39 years, 40–50 years, 51–61 years, 62–72 years, and over 73 years. <bold>Table <xref ref-type="table" rid="T2">2</xref></bold> presents the data on distribution by sex and age.</p>
        <p>There are significant differences in age distribution by sex. Men in the sample are, on average, younger, with the highest frequency observed in the 29–39 age group. Women are significantly more numerous—approximately six times more than men—with a peak in frequency between 40 and 61 years of age.</p>
        <table-wrap id="T2" position="float" orientation="portrait">
          <label>Table 2.</label>
          <caption>
            <p>Distribution of the studied group by sex and age (n=726)</p>
          </caption>
          <table id="TID0ELMAE" rules="all">
            <tbody>
              <tr>
                <td rowspan="1" colspan="1">
                  <bold>Age group (years)</bold>
                </td>
                <td rowspan="1" colspan="1">
                  <bold>18–28</bold>
                </td>
                <td rowspan="1" colspan="1">
                  <bold>29–39</bold>
                </td>
                <td rowspan="1" colspan="1">
                  <bold>40–50</bold>
                </td>
                <td rowspan="1" colspan="1">
                  <bold>51–61</bold>
                </td>
                <td rowspan="1" colspan="1">
                  <bold>62–72</bold>
                </td>
                <td rowspan="1" colspan="1"><bold>73</bold>+</td>
                <td rowspan="1" colspan="1">
                  <bold>Total</bold>
                </td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Men</td>
                <td rowspan="1" colspan="1">20</td>
                <td rowspan="1" colspan="1">32</td>
                <td rowspan="1" colspan="1">19</td>
                <td rowspan="1" colspan="1">20</td>
                <td rowspan="1" colspan="1">20</td>
                <td rowspan="1" colspan="1">10</td>
                <td rowspan="1" colspan="1">121</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Women</td>
                <td rowspan="1" colspan="1">70</td>
                <td rowspan="1" colspan="1">117</td>
                <td rowspan="1" colspan="1">140</td>
                <td rowspan="1" colspan="1">136</td>
                <td rowspan="1" colspan="1">92</td>
                <td rowspan="1" colspan="1">50</td>
                <td rowspan="1" colspan="1">605</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Total</td>
                <td rowspan="1" colspan="1">90</td>
                <td rowspan="1" colspan="1">149</td>
                <td rowspan="1" colspan="1">159</td>
                <td rowspan="1" colspan="1">156</td>
                <td rowspan="1" colspan="1">112</td>
                <td rowspan="1" colspan="1">60</td>
                <td rowspan="1" colspan="1">726</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
      </sec>
      <sec sec-type="Age and TSH Values" id="SECID0E5HAC">
        <title>Age and <abbrev xlink:title="thyroid-stimulating hormone" id="ABBRID0EDIAC">TSH</abbrev> Values</title>
        <p>The average <abbrev xlink:title="thyroid-stimulating hormone" id="ABBRID0EJIAC">TSH</abbrev> value in the study population was 4.05 mIU/L. While age showed a normal distribution, <abbrev xlink:title="thyroid-stimulating hormone" id="ABBRID0ENIAC">TSH</abbrev> levels exhibited slight right skewness, with deviations at the extreme values. <bold>Fig. <xref ref-type="fig" rid="F2">2</xref></bold> illustrates the relationship between age and serum <abbrev xlink:title="thyroid-stimulating hormone" id="ABBRID0EXIAC">TSH</abbrev> levels.</p>
        <p>To evaluate the effect of age on <abbrev xlink:title="thyroid-stimulating hormone" id="ABBRID0E4IAC">TSH</abbrev>, patients were divided into two groups based on the median age of 56 years. An independent samples t-test was conducted, which showed that patients over the age of 56 had higher mean <abbrev xlink:title="thyroid-stimulating hormone" id="ABBRID0EBJAC">TSH</abbrev> levels (4.44 mIU/L) compared to patients under 56, who had a mean <abbrev xlink:title="thyroid-stimulating hormone" id="ABBRID0EFJAC">TSH</abbrev> of 3.67 mIU/L. The difference was statistically significant (<italic>p</italic>&lt;0.05).</p>
        <p>These findings are consistent with studies that report a trend of increasing <abbrev xlink:title="thyroid-stimulating hormone" id="ABBRID0ENJAC">TSH</abbrev> values with advancing age.<sup>[<xref ref-type="bibr" rid="B15">15</xref>]</sup> One possible hypothesis is reduced pituitary sensitivity to thyroid hormones in older individuals, leading to compensatory <abbrev xlink:title="thyroid-stimulating hormone" id="ABBRID0EYJAC">TSH</abbrev> elevation. Additional explanations include changes in thyroid hormone homeostasis and metabolism with aging.<sup>[<xref ref-type="bibr" rid="B16">16</xref>]</sup> In this view, it might be possible that the observed increase in <abbrev xlink:title="thyroid-stimulating hormone" id="ABBRID0EDKAC">TSH</abbrev> with advancing age reflects a progressive decline in the thyroid gland’s ability to synthesize and secrete thyroid hormones. This reduced functional reserve may represent a physiological adaptation or early subclinical dysfunction, even in the absence of overt disease. Age-related changes in the hypothalamic-pituitary-thyroid axis and altered tissue sensitivity to thyroid hormones may further contribute to this trend.<sup>[<xref ref-type="bibr" rid="B17">17</xref>]</sup></p>
        <p>A study from the American Cardiovascular Research Survey, which included 843 participants with a mean age of 72 years, showed a 13% increase in <abbrev xlink:title="thyroid-stimulating hormone" id="ABBRID0EPKAC">TSH</abbrev> (an average of 0.34 mIU/L) over a nearly 13-year follow-up period.<sup>[<xref ref-type="bibr" rid="B18">18</xref>]</sup> Another study found that centenarians had significantly higher <abbrev xlink:title="thyroid-stimulating hormone" id="ABBRID0E1KAC">TSH</abbrev> levels compared to younger control groups (average age 72), which was interpreted as a possible protective mechanism that slows catabolism in advanced age.<sup>[<xref ref-type="bibr" rid="B19">19</xref>]</sup></p>
        <p>However, there is no universal consensus regarding the upper reference limit for <abbrev xlink:title="thyroid-stimulating hormone" id="ABBRID0EGLAC">TSH</abbrev> in older adults. Some authors suggest using age-adjusted reference ranges when interpreting results.<sup>[<xref ref-type="bibr" rid="B20">20</xref>]</sup> Globally, there is ongoing debate over whether mildly elevated <abbrev xlink:title="thyroid-stimulating hormone" id="ABBRID0ERLAC">TSH</abbrev> levels in the elderly warrant therapeutic intervention or represent a physiological feature of aging. In the context of metabolic risk, however, even “borderline” values may have clinical significance and warrant closer monitoring.</p>
        <p>Out of the 499 patients diagnosed with Hashimoto’s thyroiditis, 64 (12.8%) met at least three of the criteria for metabolic syndrome. Among them, 46 (71.9%) were women and 18 (28.1%) were men. Women represented a significantly larger proportion of patients with MetS, which aligns with the general trend of a higher prevalence of thyroid disorders among females. The data suggest that women with <abbrev xlink:title="Hashimoto’s thyroiditis" id="ABBRID0EXLAC">HT</abbrev> are more than twice as likely to have MetS compared to men.</p>
        <p>As shown in <bold>Fig. <xref ref-type="fig" rid="F3">3</xref></bold>, the highest prevalence of MetS was observed in the 51–61 age group (39.1%) and the 62–72 age group (29.7%). This age-related pattern was more pronounced among women, particularly those in the postmenopausal period, where decreased estrogen activity is believed to contribute to a worsening of the metabolic profile. Among women with MetS—defined by the presence of three key criteria: elevated triglycerides, low <abbrev xlink:title="high-density lipoproteins" id="ABBRID0EDMAC">HDL</abbrev>-cholesterol, and arterial hypertension—the highest prevalence was recorded in the 51–61 age group (38.2%) and the 62–72 age group (35.3%). These findings support the hypothesis that the postmenopausal period is associated with an increased risk of metabolic disturbances, including the development of MetS, particularly in the context of coexisting thyroid dysfunction.<sup>[<xref ref-type="bibr" rid="B21">21</xref>]</sup></p>
        <p>Elevated <abbrev xlink:title="thyroid-stimulating hormone" id="ABBRID0EPMAC">TSH</abbrev> levels—even when within the euthyroid reference range—are associated with an unfavorable lipid and glucose profile, as well as elevated blood pressure. In our study, patients with <abbrev xlink:title="thyroid-stimulating hormone" id="ABBRID0ETMAC">TSH</abbrev> &gt;2.5 mIU/L demonstrated a trend toward higher prevalence of metabolic syndrome (MetS).</p>
        <p>It should be noted that some studies<sup>[<xref ref-type="bibr" rid="B22">22</xref>]</sup> have not found a statistically significant association between <abbrev xlink:title="thyroid-stimulating hormone" id="ABBRID0EANAC">TSH</abbrev> levels and MetS prevalence, which is likely due to heterogeneity in the studied populations, differences in diagnostic criteria, or variation in participant selection.</p>
        <p>Our findings indicate an increased prevalence of MetS in patients with autoimmune thyroid disorders, especially among women in middle and older age groups. The observed positive correlation between age and <abbrev xlink:title="thyroid-stimulating hormone" id="ABBRID0EGNAC">TSH</abbrev>, as well as the association between elevated <abbrev xlink:title="thyroid-stimulating hormone" id="ABBRID0EKNAC">TSH</abbrev> and specific MetS components, highlights the need for early metabolic screening in patients with thyroid disease. This emphasizes the importance of using age-adjusted reference ranges for <abbrev xlink:title="thyroid-stimulating hormone" id="ABBRID0EONAC">TSH</abbrev> and ensuring timely identification and management of associated metabolic disturbances.</p>
        <fig id="F2" position="float" orientation="portrait">
          <object-id content-type="arpha">11D9D173-8EB7-5788-ADBE-055D67D9CE6F</object-id>
          <label>Figure 2.</label>
          <caption>
            <p>Mean <abbrev xlink:title="thyroid-stimulating hormone" id="ABBRID0EDRAE">TSH</abbrev> value by age group.</p>
          </caption>
          <graphic xlink:href="foliamedica-67-5-e159172-g002.jpg" position="float" orientation="portrait" xlink:type="simple" id="oo_1452900.jpg">
            <uri content-type="original_file">https://binary.pensoft.net/fig/1452900</uri>
          </graphic>
        </fig>
        <fig id="F3" position="float" orientation="portrait">
          <object-id content-type="arpha">52D41601-B0CA-50AD-85D5-02AF4A0512F7</object-id>
          <label>Figure 3</label>
          <caption>
            <p>. Percentage distribution of MetS cases by age group.</p>
          </caption>
          <graphic xlink:href="foliamedica-67-5-e159172-g003.jpg" position="float" orientation="portrait" xlink:type="simple" id="oo_1452901.jpg">
            <uri content-type="original_file">https://binary.pensoft.net/fig/1452901</uri>
          </graphic>
        </fig>
      </sec>
    </sec>
    <sec sec-type="﻿Discussion" id="SECID0ESNAC">
      <title>﻿Discussion</title>
      <p>Over the past decades, global lifestyle patterns have undergone a profound transformation, characterized by increasing consumption of high-calorie foods and reduced physical activity. As a result, there has been a sharp rise in the prevalence of obesity, hyperglycemia, and arterial hypertension—trends that have reached pandemic proportions worldwide.<sup>[<xref ref-type="bibr" rid="B23">23</xref>]</sup> According to data from the World Health Organization, over 1 billion adults globally are overweight, and more than 300 million suffer from obesity.</p>
      <p>As early as 2008, Misra and Khurana<sup>[<xref ref-type="bibr" rid="B24">24</xref>]</sup> reported high prevalence rates of MetS in various regions: Sub-Saharan Africa (33.5%), India (28.8%), Turkey (33.4%), Iran (33.7%), Venezuela (31.2%), and Brazil (25.4%). MetS is associated with an increased risk of developing type 2 diabetes and serious cardiovascular events, including myocardial infarction, stroke, and heart failure. According to Huang et al.<sup>[<xref ref-type="bibr" rid="B25">25</xref>]</sup>, obesity and smoking are leading risk factors for chronic non-communicable diseases. Obesity alone accounts for more than 363,000 deaths and 12.3 million years lived with disability.</p>
      <p>Metabolic regulation demonstrates a marked sex dimorphism, which determines the differing cardiovascular risk profiles in men and women. Premenopausal women are in a more favorable metabolic position due to lower visceral adiposity, mediated by estrogenic activity.<sup>[<xref ref-type="bibr" rid="B26">26</xref>]</sup> After menopause, the decline in circulating estrogens leads to changes in the lipid profile and fat distribution, shifting toward a central (android) pattern similar to that in men.<sup>[<xref ref-type="bibr" rid="B27">27</xref>]</sup></p>
      <p>The results of the present study confirm a positive correlation between advancing age and the prevalence of metabolic syndrome, as well as a linear relationship between age and thyroid-stimulating hormone levels. The physiological decline in ovarian function leads to estrogen deficiency, while androgen production by the adrenal cortex remains relatively preserved. This hormonal imbalance contributes to adverse changes in the metabolic profile. Menopause is associated with increased frequency of all components of MetS—central obesity, arterial hypertension, atherogenic lipid profile, and insulin resistance.<sup>[<xref ref-type="bibr" rid="B28">28</xref>]</sup></p>
      <p>Available data indicate that the overall prognostic value of MetS for cardiovascular events and all-cause mortality is higher in women compared to men.<sup>[<xref ref-type="bibr" rid="B29">29</xref>]</sup> In addition, there are distinct sex differences in the prevalence of thyroid diseases, particularly autoimmune disorders, which are significantly more common in women and increase with age in both sexes. It should be emphasized that even subclinical forms of thyroid dysfunction are associated with an increased risk of coronary artery disease and all-cause mortality, supporting the need for screening, especially in patients with MetS.</p>
      <p>Aging is a complex process involving morphological and functional changes that lead to a progressive decline in biological functions. In women, this process is marked by a sharp decline in sex hormones accompanying the cessation of reproductive function, whereas in men, androgen reduction is more gradual and progressive.<sup>[<xref ref-type="bibr" rid="B30">30</xref>]</sup> Age is a significant moderating factor in the relationship between thyroid function and MetS. Lao et al.<sup>[<xref ref-type="bibr" rid="B31">31</xref>]</sup> identify population aging as a key factor in the rising prevalence of MetS. Sex differences in the distribution, age of onset, and severity of MetS, as well as its cardiovascular consequences, are likely due to the differing pace of hormonal decline between the sexes. Our findings confirm the progressive increase in both the prevalence of MetS and thyroid dysfunction with advancing age.</p>
      <p>Recent guidelines from the American Thyroid Association (ATA) and other expert consensus panels emphasize the importance of considering age-related changes in thyroid physiology when interpreting thyroid-stimulating hormone (<abbrev xlink:title="thyroid-stimulating hormone" id="ABBRID0ECAAE">TSH</abbrev>) levels. While the standard reference range for <abbrev xlink:title="thyroid-stimulating hormone" id="ABBRID0EGAAE">TSH</abbrev> in adults is generally 0.4–4.0 mIU/L, several studies and expert groups suggest that <abbrev xlink:title="thyroid-stimulating hormone" id="ABBRID0EKAAE">TSH</abbrev> values tend to increase with age, even in the absence of overt thyroid disease. Consequently, applying a uniform reference interval across all age groups may lead to overdiagnosis of subclinical hypothyroidism in the elderly. The ATA recommends individualized interpretation of <abbrev xlink:title="thyroid-stimulating hormone" id="ABBRID0EOAAE">TSH</abbrev> results, particularly in adults over 65 years of age, and supports higher upper reference limits in this population to avoid unnecessary treatment. These age-adjusted thresholds are increasingly being recognized in clinical practice to ensure more accurate diagnosis and management decisions.</p>
      <p>In addition to screening considerations, the American Thyroid Association (ATA) provides guidance on the treatment of subclinical hypothyroidism, emphasizing a personalized approach based on age, <abbrev xlink:title="thyroid-stimulating hormone" id="ABBRID0EUAAE">TSH</abbrev> levels, and symptomatology. Treatment is generally recommended for patients under 65 years with a <abbrev xlink:title="thyroid-stimulating hormone" id="ABBRID0EYAAE">TSH</abbrev> level ≥10 mIU/L, even if asymptomatic, due to the increased risk of cardiovascular events and progression to overt hypothyroidism. For patients with <abbrev xlink:title="thyroid-stimulating hormone" id="ABBRID0E3AAE">TSH</abbrev> levels between 4.5 mIU/L and 9.9 mIU/L, treatment may be considered in younger individuals, especially in the presence of symptoms, positive anti-thyroid antibodies, or risk factors such as dyslipidemia, infertility, or goiter. However, in older adults (≥65 years), the ATA advises a more conservative approach. In this population, treatment is typically reserved for those with <abbrev xlink:title="thyroid-stimulating hormone" id="ABBRID0EABAE">TSH</abbrev> ≥10 mIU/L, and individualized decisions should be made for those with lower elevations due to the lack of clear evidence of benefit and potential risk of overtreatment, including atrial fibrillation and bone loss.<sup>[<xref ref-type="bibr" rid="B32">32</xref>, <xref ref-type="bibr" rid="B33">33</xref>]</sup></p>
      <sec sec-type="Study limitations" id="SECID0EOBAE">
        <title>Study limitations</title>
        <p>This study has several limitations that should be acknowledged. First, it was conducted in a single tertiary care university hospital and included only hospitalized patients. This hospital-based design may introduce selection bias, limiting the generalizability of the findings to the broader population, especially to individuals with milder or asymptomatic thyroid dysfunction who are managed in outpatient settings. Second, the retrospective cross-sectional nature of the study prevents the establishment of causal relationships between thyroid dysfunction and components of metabolic syndrome; thus, temporal associations cannot be inferred, and reverse causation remains a possibility.</p>
        <p>Furthermore, the absence of multivariable analysis limits the ability to control for potential confounding factors such as age, body mass index (BMI), and medication use, which may have influenced the observed associations. Additionally, important lifestyle and treatment-related variables—including physical activity, dietary habits, smoking, alcohol consumption, socioeconomic status, and the use of medications such as statins, antihypertensives, or thyroid hormone replacement therapy—were not collected or analyzed, which may have affected both metabolic and thyroid function outcomes.</p>
        <p>The diagnosis of metabolic syndrome was based on standard criteria; however, data for all diagnostic components, such as waist circumference and medication use, were not consistently available across patient subgroups. This may have led to underestimation or misclassification of MetS prevalence. Moreover, while the study highlights an increased risk of MetS in postmenopausal women, it did not include a direct assessment of menopausal status or hormone replacement therapy, both of which are relevant factors influencing metabolic risk.</p>
        <p>Finally, although the relationship between thyroid-stimulating hormone (<abbrev xlink:title="thyroid-stimulating hormone" id="ABBRID0EXBAE">TSH</abbrev>) levels and age was explored, the study applied uniform reference intervals for <abbrev xlink:title="thyroid-stimulating hormone" id="ABBRID0E2BAE">TSH</abbrev> rather than using age-specific thresholds. This could result in misclassification of thyroid status, particularly in older adults.</p>
        <p>Despite these limitations, the findings provide meaningful insights into the interplay between thyroid dysfunction and metabolic syndrome, particularly in the context of age- and sex-specific differences. These results may inform future prospective studies and guide targeted preventive strategies in clinical practice.</p>
      </sec>
    </sec>
    <sec sec-type="﻿Conclusion" id="SECID0EACAE">
      <title>﻿Conclusion</title>
      <p>The results of this study highlight a significant association between metabolic syndrome (MetS) and thyroid dysfunction, with age and sex playing a substantial moderating role. It was found that older women, particularly those in the postmenopausal period, were at an increased risk of developing MetS in the presence of elevated thyroid-stimulating hormone levels. This likely reflects the combined influence of estrogen deficiency and the higher prevalence of thyroid disorders in women.</p>
      <p>The findings underscore the need for targeted screening for thyroid dysfunction in patients with MetS, with particular attention to vulnerable age and sex subgroups. These insights may contribute to a deeper understanding of the pathophysiological mechanisms underlying cardiometabolic risk and support early identification and appropriate management of high-risk individuals. Early identification of thyroid dysfunction through routine screening in primary care is essential for timely intervention, especially in high-risk groups such as older adults and women. Preventive strategies, including regular monitoring and patient education, can help reduce the burden of metabolic and cardiovascular complications associated with undiagnosed or subclinical thyroid disorders.</p>
    </sec>
    <sec sec-type="Recommendations for Future Research" id="SECID0EGCAE">
      <title>Recommendations for Future Research</title>
      <list list-type="bullet">
        <list-item>
          <p>Prospective and interventional studies are needed to better understand the causal mechanisms between thyroid function and metabolic syndrome.
</p>
        </list-item>
        <list-item>
          <p>A detailed analysis of the impact of various hormonal states (e.g., menopause, hypogonadism) would help more precisely identify at-risk groups.
</p>
        </list-item>
        <list-item>
          <p>Future research could also incorporate genetic and inflammatory markers to better elucidate the pathogenic link between the two conditions.
</p>
        </list-item>
      </list>
    </sec>
    <sec sec-type="Ethics approval and consent to participate" id="SECID0EPCAE">
      <title>Ethics approval and consent to participate</title>
      <p>The study was conducted in accordance with the principles of the Declaration of Helsinki and was approved by the institutional Ethics Committee of St George University Hospital in Plovdiv, Bulgaria. All data were obtained through retrospective analysis of medical records, ensuring full anonymity and confidentiality of patient information. The requirement for written informed consent was waived due to the retrospective nature of the study and the use of de-identified data, in line with local regulations and institutional guidelines.</p>
    </sec>
    <sec sec-type="﻿Funding" id="SECID0EUCAE">
      <title>﻿Funding</title>
      <p>This research received no external funding.</p>
    </sec>
    <sec sec-type="Conflicts of Interest" id="SECID0EZCAE">
      <title>Conflicts of Interest</title>
      <p>The authors declare no conflict of interest.</p>
    </sec>
  </body>
  <back>
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