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<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Med.</journal-id>
<journal-title>Frontiers in Medicine</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Med.</abbrev-journal-title>
<issn pub-type="epub">2296-858X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
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<article-meta>
<article-id pub-id-type="doi">10.3389/fmed.2025.1618975</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Medicine</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Multimorbidity of hidradenitis suppurativa: a cross-sectional population-based study of its associated comorbidities</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Almenara-Blasco</surname>
<given-names>Manuel</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
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<contrib contrib-type="author">
<name>
<surname>Gracia-Caza&#x00F1;a</surname>
<given-names>Tamara</given-names>
</name>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Poblador-Plou</surname>
<given-names>Beatriz</given-names>
</name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
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<contrib contrib-type="author">
<name>
<surname>Laguna-Berna</surname>
<given-names>Clara</given-names>
</name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
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<contrib contrib-type="author">
<name>
<surname>Navarro-Bielsa</surname>
<given-names>Alba</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author">
<name>
<surname>Moreno-Juste</surname>
<given-names>Aida</given-names>
</name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
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<contrib contrib-type="author">
<name>
<surname>Gimeno-Miguel</surname>
<given-names>Antonio</given-names>
</name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
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<contrib contrib-type="author">
<name>
<surname>Gilaberte</surname>
<given-names>Yolanda</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<aff id="aff1"><sup>1</sup><institution>Servicio de Dermatolog&#x00ED;a, Hospital Universitario Miguel Servet</institution>, <addr-line>Zaragoza</addr-line>, <country>Spain</country></aff>
<aff id="aff2"><sup>2</sup><institution>EpiChron Group for Research in Chronic Diseases, Arag&#x00F3;n Health Research Institute</institution>, <addr-line>Zaragoza</addr-line>, <country>Spain</country></aff>
<aff id="aff3"><sup>3</sup><institution>Research Network on Chronicity, Primary Care and Health Promotion (RICAPPS)</institution>, <addr-line>Barcelona</addr-line>, <country>Spain</country></aff>
<author-notes>
<fn fn-type="edited-by" id="fn0001">
<p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1381439/overview">Emi Dika</ext-link>, University of Bologna, Italy</p>
</fn>
<fn fn-type="edited-by" id="fn0002">
<p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2972733/overview">La&#x015F;in &#x00D6;zbek</ext-link>, Ko&#x00E7; University, T&#x00FC;rkiye</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3040743/overview">Elisabetta Magnaterra</ext-link>, University of Bologna, Italy</p>
</fn>
<corresp id="c001">&#x002A;Correspondence: Manuel Almenara-Blasco, <email>manuelalmenarablasco@gmail.com</email></corresp>
</author-notes>
<pub-date pub-type="epub">
<day>05</day>
<month>09</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>12</volume>
<elocation-id>1618975</elocation-id>
<history>
<date date-type="received">
<day>27</day>
<month>04</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>25</day>
<month>08</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2025 Almenara-Blasco, Gracia-Caza&#x00F1;a, Poblador-Plou, Laguna-Berna, Navarro-Bielsa, Moreno-Juste, Gimeno-Miguel and Gilaberte.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Almenara-Blasco, Gracia-Caza&#x00F1;a, Poblador-Plou, Laguna-Berna, Navarro-Bielsa, Moreno-Juste, Gimeno-Miguel and Gilaberte</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>Hidradenitis suppurativa (HS) is a chronic, inflammatory skin disorder associated with significant physical and psychological burden. While individual comorbidities have been described in prior studies, a comprehensive analysis of all chronic conditions associated with HS in a large population-based cohort is lacking.</p>
</sec>
<sec id="sec2">
<title>Objectives</title>
<p>To determine the prevalence of hidradenitis suppurativa in a large-scale, population-based study, to describe its comorbidities, and to analyze which diseases are associated with the presence of hidradenitis.</p>
</sec>
<sec id="sec3">
<title>Methods</title>
<p>Retrospective cross-sectional observational study based on the clinical information contained in the electronic health records from the individuals of the EpiChron Cohort (Arag&#x00F3;n, Spain) with a diagnosis of hidradenitis suppurativa (1,003 individuals from all ages and sexes) in 2019. We analyzed the prevalence of chronic comorbidities and used logistic regression models adjusted for age, sex and comorbidities to calculate the likelihood of occurrence of each of the comorbidities with a prevalence &#x2265;1% based on the presence of hidradenitis. We used a cut-off point for statistical significance of <italic>p</italic>-value &#x003C; 0.05.</p>
</sec>
<sec id="sec4">
<title>Results</title>
<p>The prevalence of hidradenitis suppurativa was 0.10%, and it was more prevalent in women (0.12% vs. 0.08%). The most frequent chronic comorbidities were disorders of lipid metabolism (27.8%), hypertension (19.7%), and anxiety disorders (18.7%). The conditions most associated with hidradenitis were (odds ratio; 95% confidence interval) skin and subcutaneous tissue infections (3.32; 2.56&#x2013;4.30), diseases of white blood cells (2.11; 1.44&#x2013;3.07), and schizophrenia and other psychotic disorders (2.17; 1.16&#x2013;4.06), among others.</p>
</sec>
<sec id="sec5">
<title>Conclusion</title>
<p>HS is associated with a high burden of multimorbidity, encompassing metabolic, neuropsychiatric, musculoskeletal, and infectious conditions. These findings underscore the need for integrated and multidisciplinary management strategies. Further longitudinal research is warranted to explore causal relationships and improve clinical outcomes.</p>
</sec>
</abstract>
<kwd-group>
<kwd>hidradenitis suppurativa</kwd>
<kwd>comorbidities</kwd>
<kwd>Epidemiology</kwd>
<kwd>population-based study</kwd>
<kwd>multimorbidity</kwd>
</kwd-group>
<counts>
<fig-count count="0"/>
<table-count count="4"/>
<equation-count count="0"/>
<ref-count count="44"/>
<page-count count="10"/>
<word-count count="6865"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Dermatology</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec6">
<label>1</label>
<title>Introduction</title>
<p>Hidradenitis suppurativa (HS) is a chronic, inflammatory skin disease that primarily affects intertriginous areas such as the axillae, groin, and anogenital region, where apocrine glands are concentrated (<xref ref-type="bibr" rid="ref1">1</xref>, <xref ref-type="bibr" rid="ref2">2</xref>). It is characterized by recurrent, painful nodules, abscesses, sinus tracts, and scarring. Diagnosis is typically clinical, often utilizing the Hurley staging system to assess severity. Onset usually occurs in early adulthood, and HS can persist for decades, significantly impacting quality of life (<xref ref-type="bibr" rid="ref1">1</xref>, <xref ref-type="bibr" rid="ref2">2</xref>). Global prevalence estimates vary widely (0.00033&#x2013;4.1%) due to differences in diagnostic criteria, populations studied, and methodologies. Highest rates of HS are reported in Europe (1.4%), followed by North America (0.67%) and Asia (0.42%). HS is more common in women, with reported female-to-male ratios ranging from 1.5:1 to 4:1 (<xref ref-type="bibr" rid="ref3 ref4 ref5">3&#x2013;5</xref>).</p>
<p>Beyond its dermatologic manifestations, HS is increasingly recognized as a systemic condition associated with a wide range of comorbidities that affect multiple organ systems (<xref ref-type="bibr" rid="ref2">2</xref>, <xref ref-type="bibr" rid="ref6">6</xref>, <xref ref-type="bibr" rid="ref7">7</xref>). Research has linked HS to various other illnesses, and demonstrated a strong association with components of metabolic syndrome, including obesity, dyslipidemia, hypertension, and type 2 diabetes mellitus (<xref ref-type="bibr" rid="ref6 ref7 ref8 ref9">6&#x2013;9</xref>). These conditions are significantly more prevalent in HS patients than in the general population: some studies have reported metabolic syndrome in up to 65% of individuals with HS, versus an estimated 10&#x2013;25% in the general population (<xref ref-type="bibr" rid="ref6">6</xref>, <xref ref-type="bibr" rid="ref7">7</xref>, <xref ref-type="bibr" rid="ref10">10</xref>). Obesity in particular is strongly linked to HS, potentially contributing to its pathogenesis through mechanical stress in skin folds and chronic systemic inflammation. Lipid abnormalities and insulin resistance may also exacerbate disease severity and progression (<xref ref-type="bibr" rid="ref8">8</xref>, <xref ref-type="bibr" rid="ref10">10</xref>).</p>
<p>HS is associated with increased cardiovascular risk (<xref ref-type="bibr" rid="ref11">11</xref>, <xref ref-type="bibr" rid="ref12">12</xref>). Elevated rates of hypertension, cerebrovascular disease, and peripheral vascular disorders have been observed in HS patients, potentially contributing to higher cardiovascular mortality (<xref ref-type="bibr" rid="ref11">11</xref>, <xref ref-type="bibr" rid="ref12">12</xref>). Some studies estimate a 1.7-fold increased risk of cardiovascular-related death in individuals with HS (<xref ref-type="bibr" rid="ref11">11</xref>, <xref ref-type="bibr" rid="ref12">12</xref>). While the independent contribution of HS to cardiovascular risk remains unclear, the frequent co-occurrence of metabolic comorbidities underscores the need for early screening and intervention (<xref ref-type="bibr" rid="ref10">10</xref>, <xref ref-type="bibr" rid="ref13 ref14 ref15">13&#x2013;15</xref>).</p>
<p>Gastrointestinal (GI) comorbidities, particularly inflammatory bowel diseases (IBD) such as Crohn&#x2019;s disease and ulcerative colitis, also more prevalent among patients with HS (<xref ref-type="bibr" rid="ref16">16</xref>). The mechanisms linking HS and IBD remain poorly understood, but may involve shared genetic susceptibility, dysregulated immune responses, and overlapping environmental risk factors (<xref ref-type="bibr" rid="ref16">16</xref>). Although reported prevalences vary widely, epidemiological studies reveal a several-fold increased risk of IBD in HS patients, with some case&#x2013;control studies estimating a 10-fold higher risk of Crohn&#x2019;s disease (<xref ref-type="bibr" rid="ref2">2</xref>, <xref ref-type="bibr" rid="ref6">6</xref>, <xref ref-type="bibr" rid="ref16">16</xref>).</p>
<p>Musculoskeletal comorbidities, especially spondyloarthritis (including ankylosing spondylitis and psoriatic arthritis), are also associated with HS (<xref ref-type="bibr" rid="ref17">17</xref>). These inflammatory joint disorders are often underdiagnosed but can significantly impair function and quality of life. Prevalence estimates of spondyloarthritis in HS patients range from 1.5 to 40% (<xref ref-type="bibr" rid="ref17">17</xref>), but rarely exceed 2% in the general population (<xref ref-type="bibr" rid="ref18">18</xref>). Shared inflammatory pathways, including elevated levels of TNF-<italic>&#x03B1;</italic> and IL-17, may explain this overlap (<xref ref-type="bibr" rid="ref17">17</xref>, <xref ref-type="bibr" rid="ref18">18</xref>).</p>
<p>Neuropsychiatric comorbidities are common in HS and substantially contribute to disease burden (<xref ref-type="bibr" rid="ref19">19</xref>). The chronic pain, visible lesions, malodor, and stigma associated with HS likely contribute to the psychological distress experienced by patients. Recent studies have highlighted a possible association between HS and more severe psychiatric conditions such as schizophrenia and other psychotic disorders, potentially pointing to shared inflammatory mechanisms, including systemic cytokine dysregulation (<xref ref-type="bibr" rid="ref9">9</xref>, <xref ref-type="bibr" rid="ref20 ref21 ref22">20&#x2013;22</xref>). Prevalence rates of depression (15&#x2013;65%) and anxiety (13&#x2013;36%) in HS patients are also significantly higher than those reported in the general population (<xref ref-type="bibr" rid="ref20 ref21 ref22">20&#x2013;22</xref>).</p>
<p>Infectious diseases constitute another important comorbidity category in HA patients, who are at increased risk of secondary skin and soft tissue infections due to impaired barrier function, recurrent abscess formation, and colonization by pathogenic bacteria (<xref ref-type="bibr" rid="ref1">1</xref>, <xref ref-type="bibr" rid="ref2">2</xref>, <xref ref-type="bibr" rid="ref9">9</xref>). The increased prevalence of mycoses and chronic skin infections in HS patients can potentially complicate disease management and therapeutic choices (<xref ref-type="bibr" rid="ref2">2</xref>, <xref ref-type="bibr" rid="ref23">23</xref>).</p>
<p>A better understanding of the comorbid profile of HS is essential to improve care. While previous studies have explored individual comorbidities, few have comprehensively evaluated the full spectrum of chronic conditions in a large, unselected population. In this study, we sought to (i) estimate the prevalence of HS in a large population-based cohort in Arag&#x00F3;n, Spain; (ii) describe the sociodemographic and clinical characteristics of affected individuals; and (iii) identify chronic comorbidities that are significantly associated with HS.</p>
</sec>
<sec sec-type="methods" id="sec7">
<label>2</label>
<title>Methods</title>
<sec id="sec8">
<label>2.1</label>
<title>Study design, setting and participants</title>
<p>This retrospective cross-sectional study was conducted using the EpiChron Cohort in Arag&#x00F3;n, Spain. This database integrates sociodemographic and clinical information from all users of the Aragonese public health system (population 1.3 million; approximately 98% public health system utilization) with at least one chronic condition recorded between 2010 and 2019. The study population included 1,098,383 individuals with chronic conditions, of whom 1,003 had a diagnosis of HS in 2019. HS diagnosis was determined by the presence of an active clinical episode with ICD-9-CM code 705.83 in their electronic health records (EHRs). Individuals without this code served as comparators. Individuals not registered in the health system in 2018, precluding retrospective comorbidity assessment, were excluded. The study was approved by the Clinical Research Ethics Committee of Arag&#x00F3;n (CEICA; PI23/607). Due to the epidemiological nature and use of anonymized data, informed consent was waived.</p>
</sec>
<sec id="sec9">
<label>2.2</label>
<title>Study variables and data sources</title>
<p>For each participant, we analyzed sex, age, country of birth, area of residence (rural vs. urban), area-level deprivation index (categorized into quartiles, Q1&#x2013;Q4, from least to most deprived) (<xref ref-type="bibr" rid="ref24">24</xref>), smoking status, and all chronic conditions documented in their EHRs. Diagnoses were initially coded using ICPC-1 and mapped to ICD-9-CM codes. Each ICD-9-CM code was then categorized into 226 mutually exclusive clinical categories using the Clinical Classifications Software (CCS) (<xref ref-type="bibr" rid="ref25">25</xref>). Of these, 153 were classified as chronic using the Chronic Condition Indicator (CCI) open source tool (<xref ref-type="bibr" rid="ref26">26</xref>) which defines chronic conditions as those lasting &#x2265; 12&#x202F;months and meeting at least one of the following criteria: (a) requiring continuous care with high recurrence risk and/or implications for patient management; or (b) causing limitations in self-care, independent living, or social interaction. Demographic variables were retrieved from the user database with mandatory completion, ensuring complete data for all participants. The absence of a registered diagnostic code was considered the absence of the disease, not missing data.</p>
</sec>
<sec id="sec10">
<label>2.3</label>
<title>Statistical analysis</title>
<p>We calculated the prevalence of HS and described its distribution across sociodemographic variables. Logistic regression models were used to estimate crude and age- and sex-adjusted odds ratios (ORs) for HS based on these variables. To identify comorbidities associated with HS, we used logistic regression models to calculate the likelihood of each comorbidity (dependent variable) based on the presence of HS (independent variable). Two models were generated for each comorbidity: one unadjusted (crude OR) and one adjusted for age, sex, and all other comorbidities. Smoking status and obesity were not included in the adjusted models due to underreporting in the database. Statistical significance was set at <italic>p</italic>&#x202F;&#x003C;&#x202F;0.05. Analyses were performed using RStudio.</p>
</sec>
</sec>
<sec sec-type="results" id="sec11">
<label>3</label>
<title>Results</title>
<sec id="sec12">
<label>3.1</label>
<title>Prevalence and socio-demographic features of hidradenitis suppurativa</title>
<p>A total of 1,003 patients had a diagnosis of HS during the study period (mean age 40.54&#x202F;years, SD 16.47; 63.41% women), resulting in an overall prevalence of 0.10% (<xref ref-type="table" rid="tab1">Table 1</xref>). This prevalence was significantly higher in women than men (0.12% vs. 0.08%; OR 1.52, 95% CI 1.34&#x2013;1.73; <xref ref-type="table" rid="tab1">Table 1</xref>). Compared to Spanish individuals, the prevalence of HS was higher among Sub-Saharan Africans (aOR 2.53; 95% CI 1.68&#x2013;3.80), Latin Americans (aOR 1.59; 95% CI 1.27&#x2013;2.00), and North Africans (aOR 2.00; 95% CI 1.43&#x2013;2.79). Asian, North American, and Eastern European individuals had similar prevalence to Spanish individuals (<xref ref-type="table" rid="tab2">Table 2</xref>). HS was comparably prevalent in rural and urban areas (0.10% vs. 0.10%; aOR 0.99, 95% CI 0.87&#x2013;1.12), and more prevalent in the most deprived areas (Q4) (0.12%; aOR 1.43, 95% CI 1.21&#x2013;1.69). No significant differences in prevalence were observed between Q1, Q2, and Q3 (<xref ref-type="table" rid="tab2">Table 2</xref>).</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>Prevalence of hidradenitis suppurativa in the EpiChron Cohort (Aragon, Spain) in 2019 based on sociodemographic variables.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" rowspan="2">Hidradenitis prevalence</th>
<th align="center" valign="top">Men (<italic>n</italic>&#x202F;=&#x202F;509,506)</th>
<th align="center" valign="top">Women (<italic>n</italic>&#x202F;=&#x202F;588,877)</th>
<th align="center" valign="top">Total (<italic>n</italic>&#x202F;=&#x202F;1,098,383)</th>
</tr>
<tr>
<th align="center" valign="middle"><italic>n</italic> (%)</th>
<th align="center" valign="middle"><italic>n</italic> (%)</th>
<th align="center" valign="middle"><italic>n</italic> (%)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">Sex</td>
<td align="center" valign="top">367 (0.08)</td>
<td align="center" valign="top">636 (0.12)</td>
<td align="center" valign="top">1,003 (0.10)</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="4">Age (years)</td>
</tr>
<tr>
<td align="left" valign="middle">0&#x2013;17</td>
<td align="center" valign="top">21 (0.03)</td>
<td align="center" valign="top">60 (0.10)</td>
<td align="center" valign="top">81 (0.06)</td>
</tr>
<tr>
<td align="left" valign="middle">18&#x2013;44</td>
<td align="center" valign="top">185 (0.14)</td>
<td align="center" valign="top">341 (0.22)</td>
<td align="center" valign="top">526 (0.18)</td>
</tr>
<tr>
<td align="left" valign="middle">45&#x2013;64</td>
<td align="center" valign="top">125 (0.08)</td>
<td align="center" valign="top">193 (0.12)</td>
<td align="center" valign="top">318 (0.10)</td>
</tr>
<tr>
<td align="left" valign="middle">&#x2265;65</td>
<td align="center" valign="top">36 (0.03)</td>
<td align="center" valign="top">42 (0.03)</td>
<td align="center" valign="top">78 (0.03)</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="4">Nationality</td>
</tr>
<tr>
<td align="left" valign="middle">Spain</td>
<td align="center" valign="top">297 (0.07)</td>
<td align="center" valign="top">503 (0.11)</td>
<td align="center" valign="top">800 (0.09)</td>
</tr>
<tr>
<td align="left" valign="middle">Eastern Europe</td>
<td align="center" valign="top">20 (0.11)</td>
<td align="center" valign="top">26 (0.11)</td>
<td align="center" valign="top">46 (0.11)</td>
</tr>
<tr>
<td align="left" valign="middle">Asia</td>
<td align="center" valign="top">1 (0.04)</td>
<td align="center" valign="top">6 (0.22)</td>
<td align="center" valign="top">7 (0.13)</td>
</tr>
<tr>
<td align="left" valign="middle">North Africa</td>
<td align="center" valign="top">12 (0.12)</td>
<td align="center" valign="top">24 (0.29)</td>
<td align="center" valign="top">36 (0.20)</td>
</tr>
<tr>
<td align="left" valign="middle">Sub-Saharan Africa</td>
<td align="center" valign="top">9 (0.14)</td>
<td align="center" valign="top">15 (0.41)</td>
<td align="center" valign="top">24 (0.24)</td>
</tr>
<tr>
<td align="left" valign="middle">Latin America</td>
<td align="center" valign="top">24 (0.14)</td>
<td align="center" valign="top">57 (0.18)</td>
<td align="center" valign="top">81 (0.17)</td>
</tr>
<tr>
<td align="left" valign="middle">EU and North America</td>
<td align="center" valign="top">4 (0.09)</td>
<td align="center" valign="top">5 (0.11)</td>
<td align="center" valign="top">9 (0.10)</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="4">Area of residence</td>
</tr>
<tr>
<td align="left" valign="middle">Urban</td>
<td align="center" valign="top">211 (0.08)</td>
<td align="center" valign="top">402 (0.12)</td>
<td align="center" valign="top">613 (0.10)</td>
</tr>
<tr>
<td align="left" valign="middle">Rural</td>
<td align="center" valign="top">156 (0.08)</td>
<td align="center" valign="top">234 (0.11)</td>
<td align="center" valign="top">390 (0.10)</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="4">Deprivation index<xref ref-type="table-fn" rid="tfn1"><sup>1</sup></xref></td>
</tr>
<tr>
<td align="left" valign="middle">Q<sub>1</sub></td>
<td align="center" valign="top">88 (0.07)</td>
<td align="center" valign="top">144 (0.10)</td>
<td align="center" valign="top">232 (0.09)</td>
</tr>
<tr>
<td align="left" valign="middle">Q<sub>2</sub></td>
<td align="center" valign="top">98 (0.08)</td>
<td align="center" valign="top">148 (0.11)</td>
<td align="center" valign="top">246 (0.10)</td>
</tr>
<tr>
<td align="left" valign="middle">Q<sub>3</sub></td>
<td align="center" valign="top">66 (0.07)</td>
<td align="center" valign="top">120 (0.11)</td>
<td align="center" valign="top">186 (0.09)</td>
</tr>
<tr>
<td align="left" valign="middle">Q<sub>4</sub></td>
<td align="center" valign="top">115 (0.09)</td>
<td align="center" valign="top">224 (0.15)</td>
<td align="center" valign="top">339 (0.12)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn1">
<label>1</label>
<p>Deprivation index of the area of residence according to 26 socio-economic indicators and categorized from least (Q1) to most (Q4) deprived.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption>
<p>Likelihood of presenting with hidradenitis suppurativa based on socio-demographic variables, calculated using logistic regression models.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Variable</th>
<th align="center" valign="top">Crude OR<xref ref-type="table-fn" rid="tfn2"><sup>1</sup></xref></th>
<th align="center" valign="top"><italic>p</italic>-value</th>
<th align="center" valign="top">Adjusted OR<xref ref-type="table-fn" rid="tfn3"><sup>2</sup></xref></th>
<th align="center" valign="top"><italic>p</italic>-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle" colspan="5">Sex</td>
</tr>
<tr>
<td align="left" valign="bottom">Men</td>
<td align="center" valign="bottom">ref.</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">Women</td>
<td align="center" valign="bottom">1.52 (1.34&#x2013;1.73)</td>
<td align="center" valign="bottom">0.000</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle" colspan="5">Age (years)</td>
</tr>
<tr>
<td align="left" valign="middle">0&#x2013;17</td>
<td align="center" valign="bottom">0.35 (0.27&#x2013;0.44)</td>
<td align="center" valign="bottom">0.000</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle">18&#x2013;44</td>
<td align="center" valign="bottom">ref.</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle">45&#x2013;64</td>
<td align="center" valign="bottom">0.54 (0.47&#x2013;0.62)</td>
<td align="center" valign="bottom">0.000</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle">&#x2265;65</td>
<td align="center" valign="bottom">0.15 (0.12&#x2013;0.19)</td>
<td align="center" valign="bottom">0.000</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle" colspan="5">Nationality</td>
</tr>
<tr>
<td align="left" valign="middle">Spain</td>
<td align="center" valign="middle">ref.</td>
<td/>
<td align="center" valign="middle">ref.</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Sub-Saharan Africa</td>
<td align="center" valign="bottom">2.65 (1.77&#x2013;3.98)</td>
<td align="center" valign="bottom">0.000</td>
<td align="center" valign="bottom">2.53 (1.68&#x2013;3.80)</td>
<td align="center" valign="bottom">0.000</td>
</tr>
<tr>
<td align="left" valign="middle">Asia</td>
<td align="center" valign="bottom">1.43 (0.68&#x2013;3.02)</td>
<td align="center" valign="bottom">0.342</td>
<td align="center" valign="bottom">1.25 (0.59&#x2013;2.62)</td>
<td align="center" valign="bottom">0.564</td>
</tr>
<tr>
<td align="left" valign="middle">Eastern Europe</td>
<td align="center" valign="bottom">1.23 (0.91&#x2013;1.66)</td>
<td align="center" valign="bottom">0.170</td>
<td align="center" valign="bottom">1.09 (0.81&#x2013;1.47)</td>
<td align="center" valign="bottom">0.568</td>
</tr>
<tr>
<td align="left" valign="middle">Latin America</td>
<td align="center" valign="bottom">1.84 (1.46&#x2013;2.31)</td>
<td align="center" valign="bottom">0.000</td>
<td align="center" valign="bottom">1.59 (1.27&#x2013;2.00)</td>
<td align="center" valign="bottom">0.000</td>
</tr>
<tr>
<td align="left" valign="middle">North Africa</td>
<td align="center" valign="bottom">2.17 (1.55&#x2013;3.03)</td>
<td align="center" valign="bottom">0.000</td>
<td align="center" valign="bottom">2.00 (1.43&#x2013;2.79)</td>
<td align="center" valign="bottom">0.000</td>
</tr>
<tr>
<td align="left" valign="middle">EU and North America</td>
<td align="center" valign="bottom">1.11 (0.57&#x2013;2.14)</td>
<td align="center" valign="bottom">0.758</td>
<td align="center" valign="bottom">1.12 (0.58&#x2013;2.16)</td>
<td align="center" valign="bottom">0.732</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="5">Area of residence</td>
</tr>
<tr>
<td align="left" valign="middle">Urban</td>
<td align="center" valign="middle">ref.</td>
<td/>
<td align="center" valign="middle">ref.</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Rural</td>
<td align="center" valign="bottom">0.97 (0.86&#x2013;1.10)</td>
<td align="center" valign="bottom">0.674</td>
<td align="center" valign="bottom">0.99 (0.87&#x2013;1.12)</td>
<td align="center" valign="bottom">0.889</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="5">Deprivation index<xref ref-type="table-fn" rid="tfn4"><sup>3</sup></xref></td>
</tr>
<tr>
<td align="left" valign="middle">Q<sub>1</sub></td>
<td align="center" valign="middle">ref.</td>
<td/>
<td align="center" valign="middle">ref.</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Q<sub>2</sub></td>
<td align="center" valign="bottom">1.15 (0.96&#x2013;1.37)</td>
<td align="center" valign="bottom">0.140</td>
<td align="center" valign="bottom">1.17 (0.97&#x2013;1.40)</td>
<td align="center" valign="bottom">0.090</td>
</tr>
<tr>
<td align="left" valign="middle">Q<sub>3</sub></td>
<td align="center" valign="bottom">1.03 (0.85&#x2013;1.25)</td>
<td align="center" valign="bottom">0.773</td>
<td align="center" valign="bottom">1.06 (0.88&#x2013;1.29)</td>
<td align="center" valign="bottom">0.523</td>
</tr>
<tr>
<td align="left" valign="middle">Q<sub>4</sub></td>
<td align="center" valign="bottom">1.40 (1.18&#x2013;1.65)</td>
<td align="center" valign="bottom">0.000</td>
<td align="center" valign="bottom">1.43 (1.21&#x2013;1.69)</td>
<td align="center" valign="bottom">0.000</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn2">
<label>1</label>
<p>Odds ratio.</p>
</fn>
<fn id="tfn3">
<label>2</label>
<p>Adjusted odds ratios for sex and age.</p>
</fn>
<fn id="tfn4">
<label>3</label>
<p>Deprivation index of the area of residence according to 26 socio-economic indicators and categorized from least (Q1) to most (Q4) deprived.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec13">
<label>3.2</label>
<title>Comorbidity of hidradenitis suppurativa</title>
<p>Among patients with HS, 70.99% exhibited multimorbidity, with a mean disease burden of 3.19 (SD 2.51) chronic conditions (<xref ref-type="table" rid="tab3">Table 3</xref>). Approximately one-third of patients with HS had a documented history of smoking in their EHRs (<xref ref-type="table" rid="tab3">Table 3</xref>).</p>
<table-wrap position="float" id="tab3">
<label>Table 3</label>
<caption>
<p>Socio-demographic and clinical characteristics of patients with hidradenitis suppurativa in the EpiChron Cohort in 2019.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Characteristics</th>
<th align="center" valign="top">Men</th>
<th align="center" valign="top">Women</th>
<th align="center" valign="top">Total</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle"><italic>N</italic> (%)</td>
<td align="center" valign="middle">367 (36.59)</td>
<td align="center" valign="middle">636 (63.41)</td>
<td align="center" valign="middle">1,003 (100)</td>
</tr>
<tr>
<td align="left" valign="middle">Mean age, years (SD<xref ref-type="table-fn" rid="tfn5"><sup>1</sup></xref>)</td>
<td align="center" valign="middle">42.15 (16.47)</td>
<td align="center" valign="middle">39.61 (16.40)</td>
<td align="center" valign="middle">40.54 (16.47)</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="4">Age group, years (<italic>n</italic>, %)</td>
</tr>
<tr>
<td align="left" valign="middle">0&#x2013;17</td>
<td align="center" valign="middle">21 (5.72)</td>
<td align="center" valign="middle">60 (9.43)</td>
<td align="center" valign="middle">81 (8.08)</td>
</tr>
<tr>
<td align="left" valign="middle">18&#x2013;44</td>
<td align="center" valign="middle">185 (50.41)</td>
<td align="center" valign="middle">341 (53.62)</td>
<td align="center" valign="middle">526 (52.44)</td>
</tr>
<tr>
<td align="left" valign="middle">45&#x2013;64</td>
<td align="center" valign="middle">125 (34.06)</td>
<td align="center" valign="middle">193 (30.35)</td>
<td align="center" valign="middle">318 (31.70)</td>
</tr>
<tr>
<td align="left" valign="middle">&#x2265;65</td>
<td align="center" valign="middle">36 (9.81)</td>
<td align="center" valign="middle">42 (6.60)</td>
<td align="center" valign="middle">78 (7.78)</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="4">Nationality (<italic>n</italic>, %)</td>
</tr>
<tr>
<td align="left" valign="middle">Spain</td>
<td align="center" valign="middle">297 (80.93)</td>
<td align="center" valign="middle">503 (79.09)</td>
<td align="center" valign="middle">800 (79.76)</td>
</tr>
<tr>
<td align="left" valign="middle">Eastern Europe</td>
<td align="center" valign="middle">20 (5.45)</td>
<td align="center" valign="middle">26 (4.09)</td>
<td align="center" valign="middle">46 (4.59)</td>
</tr>
<tr>
<td align="left" valign="middle">Asia</td>
<td align="center" valign="middle">1 (0.27)</td>
<td align="center" valign="middle">6 (0.94)</td>
<td align="center" valign="middle">7 (0.70)</td>
</tr>
<tr>
<td align="left" valign="middle">North Africa</td>
<td align="center" valign="middle">12 (3.27)</td>
<td align="center" valign="middle">24 (3.77)</td>
<td align="center" valign="middle">36 (3.59)</td>
</tr>
<tr>
<td align="left" valign="middle">Sub-Saharan Africa</td>
<td align="center" valign="middle">9 (2.45)</td>
<td align="center" valign="middle">15 (2.36)</td>
<td align="center" valign="middle">24 (2.39)</td>
</tr>
<tr>
<td align="left" valign="middle">Latin America</td>
<td align="center" valign="middle">24 (6.54)</td>
<td align="center" valign="middle">57 (8.96)</td>
<td align="center" valign="middle">81 (8.08)</td>
</tr>
<tr>
<td align="left" valign="middle">EU and North America</td>
<td align="center" valign="middle">4 (1.09)</td>
<td align="center" valign="middle">5 (0.79)</td>
<td align="center" valign="middle">9 (0.90)</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="4">Area of residence<xref ref-type="table-fn" rid="tfn6"><sup>2</sup></xref></td>
</tr>
<tr>
<td align="left" valign="middle">Urban (<italic>n</italic>, %)</td>
<td align="center" valign="middle">211 (57.49)</td>
<td align="center" valign="middle">402 (63.21)</td>
<td align="center" valign="middle">613 (61.12)</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="4">Deprivation index<xref ref-type="table-fn" rid="tfn7"><sup>3</sup></xref> (<italic>n</italic>, %)</td>
</tr>
<tr>
<td align="left" valign="middle">Q<sub>1</sub></td>
<td align="center" valign="middle">88 (23.98)</td>
<td align="center" valign="middle">144 (22.64)</td>
<td align="center" valign="middle">232 (23.13)</td>
</tr>
<tr>
<td align="left" valign="middle">Q<sub>2</sub></td>
<td align="center" valign="middle">98 (26.70)</td>
<td align="center" valign="middle">148 (23.27)</td>
<td align="center" valign="middle">246 (24.53)</td>
</tr>
<tr>
<td align="left" valign="middle">Q<sub>3</sub></td>
<td align="center" valign="middle">66 (17.98)</td>
<td align="center" valign="middle">120 (18.87)</td>
<td align="center" valign="middle">186 (18.54)</td>
</tr>
<tr>
<td align="left" valign="middle">Q<sub>4</sub></td>
<td align="center" valign="middle">115 (31.34)</td>
<td align="center" valign="middle">224 (35.22)</td>
<td align="center" valign="middle">339 (33.80)</td>
</tr>
<tr>
<td align="left" valign="middle">Smoking, yes<xref ref-type="table-fn" rid="tfn8"><sup>4</sup></xref> (<italic>n</italic>, %)</td>
<td align="center" valign="middle">128 (34.88)</td>
<td align="center" valign="middle">184 (28.93)</td>
<td align="center" valign="middle">312 (31.11)</td>
</tr>
<tr>
<td align="left" valign="middle">Number of chronic diseases (mean, s.d.)</td>
<td align="center" valign="middle">2.94 (2.44)</td>
<td align="center" valign="middle">3.33 (2.54)</td>
<td align="center" valign="middle">3.19 (2.51)</td>
</tr>
<tr>
<td align="left" valign="middle">Multimorbidity, yes (<italic>n</italic>, %)</td>
<td align="center" valign="middle">250 (68.12)</td>
<td align="center" valign="middle">462 (72.64)</td>
<td align="center" valign="middle">712 (70.99)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn5">
<label>1</label>
<p>Standard deviation.</p>
</fn>
<fn id="tfn6">
<label>2</label>
<p>Urban versus rural.</p>
</fn>
<fn id="tfn7">
<label>3</label>
<p>Deprivation index of the area of residence according to 26 socio-economic indicators and categorized from least least (Q1) to most (Q4) deprived.</p>
</fn>
<fn id="tfn8">
<label>4</label>
<p>Retrieved from patient&#x2019;s general descriptors between 2014 and 2019.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>The most frequent chronic comorbidities in patients with HS were disorders of lipid metabolism (27.82%), hypertension (19.74%), and anxiety disorders (18.74%) (<xref ref-type="table" rid="tab4">Table 4</xref>).</p>
<table-wrap position="float" id="tab4">
<label>Table 4</label>
<caption>
<p>Likelihood of comorbidities based on the presence or absence of hidradenitis suppurativa in the EpiChron Cohort.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" rowspan="2">Comorbidity</th>
<th align="center" valign="top">Prevalence</th>
<th align="center" valign="top">Crude OR</th>
<th align="center" valign="top">Adjusted OR<xref ref-type="table-fn" rid="tfn9"><sup>1</sup></xref></th>
<th align="center" valign="top" rowspan="2"><italic>p</italic>-value<xref ref-type="table-fn" rid="tfn10"><sup>2</sup></xref></th>
</tr>
<tr>
<th align="center" valign="top"><italic>n</italic> (%)</th>
<th align="center" valign="top">(95% CI)</th>
<th align="center" valign="top">(95% CI)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Disorders of lipid metabolism</td>
<td align="center" valign="top">279 (27.82)</td>
<td align="center" valign="top">0.87 (0.76&#x2013;1.00)</td>
<td align="center" valign="top">1.31 (1.08&#x2013;1.59)</td>
<td align="center" valign="top">0.006</td>
</tr>
<tr>
<td align="left" valign="top">Hypertension</td>
<td align="center" valign="top">198 (19.74)</td>
<td align="center" valign="top">0.62 (0.53&#x2013;0.72)</td>
<td align="center" valign="top">1.26 (1.05&#x2013;1.52)</td>
<td align="center" valign="top">0.014</td>
</tr>
<tr>
<td align="left" valign="top">Anxiety disorders</td>
<td align="center" valign="top">188 (18.74)</td>
<td align="center" valign="top">1.37 (1.16&#x2013;1.60)</td>
<td align="center" valign="top">1.19 (1.01&#x2013;1.40)</td>
<td align="center" valign="top">0.036</td>
</tr>
<tr>
<td align="left" valign="top">Other nutritional; endocrine; and metabolic disorders</td>
<td align="center" valign="top">184 (18.34)</td>
<td align="center" valign="top">0.94 (0.80&#x2013;1.10)</td>
<td align="center" valign="top">1.06 (0.86&#x2013;1.31)</td>
<td align="center" valign="top">0.576</td>
</tr>
<tr>
<td align="left" valign="top">Spondylosis; intervertebral disc disorders; other back problems</td>
<td align="center" valign="top">183 (18.25)</td>
<td align="center" valign="top">1.29 (1.10&#x2013;1.51)</td>
<td align="center" valign="top">1.34 (1.14&#x2013;1.59)</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">Headache; including migraine</td>
<td align="center" valign="top">165 (16.45)</td>
<td align="center" valign="top">1.79 (1.51&#x2013;2.11)</td>
<td align="center" valign="top">1.36 (1.14&#x2013;1.61)</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">Menstrual disorders</td>
<td align="center" valign="top">163 (16.25)</td>
<td align="center" valign="top">2.19 (1.85&#x2013;2.59)</td>
<td align="center" valign="top">1.35 (1.12&#x2013;1.63)</td>
<td align="center" valign="top">0.001</td>
</tr>
<tr>
<td align="left" valign="top">Other non-traumatic joint disorders</td>
<td align="center" valign="top">151 (15.05)</td>
<td align="center" valign="top">1.45 (1.22&#x2013;1.73)</td>
<td align="center" valign="top">1.31 (1.10&#x2013;1.56)</td>
<td align="center" valign="top">0.003</td>
</tr>
<tr>
<td align="left" valign="top">Obesity</td>
<td align="center" valign="top">147 (14.66)</td>
<td align="center" valign="top">1.61 (1.35&#x2013;1.92)</td>
<td align="center" valign="top">1.67 (1.39&#x2013;2.01)</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">Other upper respiratory disease</td>
<td align="center" valign="top">137 (13.66)</td>
<td align="center" valign="top">1.12 (0.93&#x2013;1.34)</td>
<td align="center" valign="top">0.95 (0.79&#x2013;1.13)</td>
<td align="center" valign="top">0.572</td>
</tr>
<tr>
<td align="left" valign="top">Thyroid disorders</td>
<td align="center" valign="top">133 (13.26)</td>
<td align="center" valign="top">1.17 (0.97&#x2013;1.40)</td>
<td align="center" valign="top">1.19 (0.98&#x2013;1.43)</td>
<td align="center" valign="top">0.076</td>
</tr>
<tr>
<td align="left" valign="top">Depression and mood disorders</td>
<td align="center" valign="top">128 (12.76)</td>
<td align="center" valign="top">1.01 (0.84&#x2013;1.22)</td>
<td align="center" valign="top">1.07 (0.88&#x2013;1.29)</td>
<td align="center" valign="top">0.517</td>
</tr>
<tr>
<td align="left" valign="top">Other ear and sense organ disorders</td>
<td align="center" valign="top">115 (11.47)</td>
<td align="center" valign="top">0.95 (0.78&#x2013;1.16)</td>
<td align="center" valign="top">1.04 (0.85&#x2013;1.26)</td>
<td align="center" valign="top">0.723</td>
</tr>
<tr>
<td align="left" valign="top">Blindness and vision defects</td>
<td align="center" valign="top">107 (10.67)</td>
<td align="center" valign="top">1.20 (0.98&#x2013;1.46)</td>
<td align="center" valign="top">1.10 (0.90&#x2013;1.34)</td>
<td align="center" valign="top">0.362</td>
</tr>
<tr>
<td align="left" valign="top">Allergic reactions</td>
<td align="center" valign="top">95 (9.47)</td>
<td align="center" valign="top">0.98 (0.79&#x2013;1.21)</td>
<td align="center" valign="top">0.78 (0.63&#x2013;0.96)</td>
<td align="center" valign="top">0.022</td>
</tr>
<tr>
<td align="left" valign="top">Other inflammatory condition of skin</td>
<td align="center" valign="top">93 (9.27)</td>
<td align="center" valign="top">1.78 (1.44&#x2013;2.20)</td>
<td align="center" valign="top">1.66 (1.34&#x2013;2.06)</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">Inflammation; infection of eye (except that caused by tuberculosis or sexually transmitted disease)</td>
<td align="center" valign="top">78 (7.78)</td>
<td align="center" valign="top">1.57 (1.24&#x2013;1.97)</td>
<td align="center" valign="top">1.41 (1.11&#x2013;1.78)</td>
<td align="center" valign="top">0.004</td>
</tr>
<tr>
<td align="left" valign="top">Other connective tissue disease</td>
<td align="center" valign="top">76 (7.58)</td>
<td align="center" valign="top">1.30 (1.03&#x2013;1.64)</td>
<td align="center" valign="top">1.13 (0.89&#x2013;1.43)</td>
<td align="center" valign="top">0.323</td>
</tr>
<tr>
<td align="left" valign="top">Diabetes Mellitus</td>
<td align="center" valign="top">75 (7.48)</td>
<td align="center" valign="top">0.77 (0.61&#x2013;0.98)</td>
<td align="center" valign="top">1.34 (1.04&#x2013;1.74)</td>
<td align="center" valign="top">0.023</td>
</tr>
<tr>
<td align="left" valign="top">Asthma</td>
<td align="center" valign="top">74 (7.38)</td>
<td align="center" valign="top">1.03 (0.81&#x2013;1.30)</td>
<td align="center" valign="top">0.90 (0.71&#x2013;1.15)</td>
<td align="center" valign="top">0.405</td>
</tr>
<tr>
<td align="left" valign="top">Osteoarthritis</td>
<td align="center" valign="top">72 (7.18)</td>
<td align="center" valign="top">0.62 (0.49&#x2013;0.79)</td>
<td align="center" valign="top">1.24 (0.95&#x2013;1.61)</td>
<td align="center" valign="top">0.106</td>
</tr>
<tr>
<td align="left" valign="top">Residual codes; unclassified</td>
<td align="center" valign="top">72 (7.18)</td>
<td align="center" valign="top">1.25 (0.98&#x2013;1.59)</td>
<td align="center" valign="top">1.40 (1.09&#x2013;1.79)</td>
<td align="center" valign="top">0.008</td>
</tr>
<tr>
<td align="left" valign="top">Urinary tract infections</td>
<td align="center" valign="top">67 (6.68)</td>
<td align="center" valign="top">1.18 (0.92&#x2013;1.52)</td>
<td align="center" valign="top">1.05 (0.82&#x2013;1.36)</td>
<td align="center" valign="top">0.693</td>
</tr>
<tr>
<td align="left" valign="top">Skin and subcutaneous tissue infections</td>
<td align="center" valign="top">62 (6.18)</td>
<td align="center" valign="top">3.89 (3.00&#x2013;5.03)</td>
<td align="center" valign="top">3.32 (2.56&#x2013;4.30)</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">Other lower respiratory disease</td>
<td align="center" valign="top">61 (6.08)</td>
<td align="center" valign="top">1.14 (0.88&#x2013;1.48)</td>
<td align="center" valign="top">1.07 (0.82&#x2013;1.39)</td>
<td align="center" valign="top">0.624</td>
</tr>
<tr>
<td align="left" valign="top">Other nervous system disorders</td>
<td align="center" valign="top">60 (5.98)</td>
<td align="center" valign="top">1.40 (1.08&#x2013;1.82)</td>
<td align="center" valign="top">1.31 (1.01&#x2013;1.72)</td>
<td align="center" valign="top">0.045</td>
</tr>
<tr>
<td align="left" valign="top">Neoplasms</td>
<td align="center" valign="top">59 (5.88)</td>
<td align="center" valign="top">0.99 (0.76&#x2013;1.29)</td>
<td align="center" valign="top">1.24 (0.95&#x2013;1.62)</td>
<td align="center" valign="top">0.113</td>
</tr>
<tr>
<td align="left" valign="top">Nutritional deficiencies</td>
<td align="center" valign="top">57 (5.68)</td>
<td align="center" valign="top">1.39 (1.06&#x2013;1.81)</td>
<td align="center" valign="top">1.45 (1.10&#x2013;1.90)</td>
<td align="center" valign="top">0.008</td>
</tr>
<tr>
<td align="left" valign="top">Other gastrointestinal disorders</td>
<td align="center" valign="top">54 (5.38)</td>
<td align="center" valign="top">1.61 (1.22&#x2013;2.12)</td>
<td align="center" valign="top">1.48 (1.12&#x2013;1.95)</td>
<td align="center" valign="top">0.006</td>
</tr>
<tr>
<td align="left" valign="top">Mycoses</td>
<td align="center" valign="top">53 (5.28)</td>
<td align="center" valign="top">2.22 (1.68&#x2013;2.92)</td>
<td align="center" valign="top">1.67 (1.26&#x2013;2.21)</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">Genitourinary symptoms and ill-defined conditions</td>
<td align="center" valign="top">53 (5.28)</td>
<td align="center" valign="top">0.69 (0.52&#x2013;0.90)</td>
<td align="center" valign="top">1.18 (0.88&#x2013;1.58)</td>
<td align="center" valign="top">0.271</td>
</tr>
<tr>
<td align="left" valign="top">Menopausal disorders</td>
<td align="center" valign="top">53 (5.28)</td>
<td align="center" valign="top">1.37 (1.04&#x2013;1.81)</td>
<td align="center" valign="top">1.37 (1.03&#x2013;1.83)</td>
<td align="center" valign="top">0.033</td>
</tr>
<tr>
<td align="left" valign="top">Other eye disorders</td>
<td align="center" valign="top">49 (4.89)</td>
<td align="center" valign="top">1.27 (0.95&#x2013;1.69)</td>
<td align="center" valign="top">1.25 (0.94&#x2013;1.67)</td>
<td align="center" valign="top">0.127</td>
</tr>
<tr>
<td align="left" valign="top">Miscellaneous mental health disorders</td>
<td align="center" valign="top">47 (4.69)</td>
<td align="center" valign="top">1.57 (1.17&#x2013;2.10)</td>
<td align="center" valign="top">1.17 (0.87&#x2013;1.58)</td>
<td align="center" valign="top">0.294</td>
</tr>
<tr>
<td align="left" valign="top">Conditions associated with dizziness or vertigo</td>
<td align="center" valign="top">45 (4.49)</td>
<td align="center" valign="top">1.29 (0.96&#x2013;1.74)</td>
<td align="center" valign="top">1.23 (0.91&#x2013;1.66)</td>
<td align="center" valign="top">0.182</td>
</tr>
<tr>
<td align="left" valign="top">Nonmalignant breast conditions</td>
<td align="center" valign="top">42 (4.19)</td>
<td align="center" valign="top">1.97 (1.44&#x2013;2.68)</td>
<td align="center" valign="top">1.43 (1.04&#x2013;1.96)</td>
<td align="center" valign="top">0.027</td>
</tr>
<tr>
<td align="left" valign="top">Viral infection</td>
<td align="center" valign="top">40 (3.99)</td>
<td align="center" valign="top">1.45 (1.06&#x2013;2.00)</td>
<td align="center" valign="top">1.24 (0.90&#x2013;1.71)</td>
<td align="center" valign="top">0.185</td>
</tr>
<tr>
<td align="left" valign="top">Cardiac dysrhythmias</td>
<td align="center" valign="top">36 (3.59)</td>
<td align="center" valign="top">0.69 (0.49&#x2013;0.96)</td>
<td align="center" valign="top">1.20 (0.84&#x2013;1.70)</td>
<td align="center" valign="top">0.308</td>
</tr>
<tr>
<td align="left" valign="top">Other acquired deformities</td>
<td align="center" valign="top">33 (3.29)</td>
<td align="center" valign="top">1.34 (0.95&#x2013;1.90)</td>
<td align="center" valign="top">1.11 (0.78&#x2013;1.57)&#x002A;</td>
<td align="center" valign="top">0.560</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn9">
<label>1</label>
<p>Odds ratios adjusted by sex, age and for the presence of the rest of comorbidities studied.</p>
</fn>
<fn id="tfn10">
<label>2</label>
<p><italic>p</italic>-values &#x003C;0.005 for the adjusted OR.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>After adjusting for sex, age, and other comorbidities, the conditions most strongly associated with HS were skin and subcutaneous tissue infections (aOR 3.32; 95% CI 2.56&#x2013;4.30), diseases of white blood cells (aOR 2.11; 95% CI 1.44&#x2013;3.07), and schizophrenia and other psychotic disorders (aOR 2.17; 95% CI 1.16&#x2013;4.06) (<xref ref-type="table" rid="tab4">Table 4</xref>). Other significantly associated comorbidities included obesity, nutritional deficiencies, diabetes mellitus, disorders of lipid metabolism, hypertension, other gastrointestinal disorders, sexual disorders, anxiety disorders, spondylosis, and mycoses. Some comorbidities, including female infertility, asthma, coagulation and hemorrhagic disorders, and acute myocardial infarction, did not show a significant association with HS (See <xref ref-type="table" rid="tab4">Table 4</xref> for complete results). For osteoporosis and other acquired deformities, the logistic regression models did not converge, precluding calculation of adjusted ORs. Unadjusted ORs for these conditions are presented in <xref ref-type="table" rid="tab4">Table 4</xref>.</p>
</sec>
</sec>
<sec sec-type="discussion" id="sec14">
<label>4</label>
<title>Discussion</title>
<p>This study comprehensively analyzed the comorbidities of 1,003 patients diagnosed with HS, focusing on the most common chronic diseases and those most strongly associated with HS, irrespective of their overall frequency.</p>
<p>Our finding of a higher HS prevalence in women (52% increased likelihood) aligns with previous epidemiological data reporting a predominance in women, with female:male ration of approximately 3:1 (<xref ref-type="bibr" rid="ref3">3</xref>, <xref ref-type="bibr" rid="ref27">27</xref>). While the reasons for this sex bias are not fully understood, exploring intrinsic and extrinsic sex-biased immunological factors, such as the microbiome and genetics, in related autoimmune conditions may offer insights into the underlying mechanisms (<xref ref-type="bibr" rid="ref3">3</xref>, <xref ref-type="bibr" rid="ref27">27</xref>).</p>
<p>The observed HS prevalence of 0.10% in our study is lower than some global estimates, which range up to 0.40% and are often higher in clinical (1.7%) than population-based samples (0.3%) (<xref ref-type="bibr" rid="ref4">4</xref>). This variation likely reflects differences in diagnostic criteria, study methodologies, and the populations studied, highlighting the challenges in comparing prevalence estimates across different studies (<xref ref-type="bibr" rid="ref4">4</xref>). No significant association between HS prevalence and the percentage of women in each study has been reported to date (<xref ref-type="bibr" rid="ref4">4</xref>).</p>
<p>Our observation of a lower HS prevalence among Spanish individuals compared to Sub-Saharan Africans, Latin Americans, and North Africans is consistent with previous research documenting racial and ethnic disparities in HS: previous studies have reported highest rates in African Americans (1.30%) and lower prevalence in Hispanics (0.07%) (<xref ref-type="bibr" rid="ref28">28</xref>). The comparable rates found in Asians and Spaniards is also consistent with the relatively low prevalence reported in among Asians (<xref ref-type="bibr" rid="ref28">28</xref>). However, variations in racial and ethnic classifications across studies complicate direct comparisons.</p>
<p>Consistent with previous research, our study found a higher prevalence of HS in the most deprived areas (Q4) (aOR 1.43, 95% CI 1.21&#x2013;1.69), suggesting an association between lower socioeconomic status and HS (<xref ref-type="bibr" rid="ref29">29</xref>, <xref ref-type="bibr" rid="ref30">30</xref>). This may be related to lifestyle factors such as diet, smoking, and access to healthcare resources (<xref ref-type="bibr" rid="ref30">30</xref>). Current smoking status has a higher odds ratio for HS compared with controls without HS, with an OR of 4.26 (<xref ref-type="bibr" rid="ref31">31</xref>). Approximately one-third of HS patients in our study had a documented history of smoking, which, while potentially an underestimate due to underreporting, falls within the range reported in other studies (40&#x2013;92%) (<xref ref-type="bibr" rid="ref31">31</xref>, <xref ref-type="bibr" rid="ref32">32</xref>).</p>
<p>To comprehensively understand the comorbidity profile in HS patients, we employed a two-step strategy. First, we outlined the most common comorbidities regardless of their relationship with HS. Next, we highlighted comorbidities with an increased probability of occurring in individuals diagnosed with HS. The interplay between HS and these comorbidities is complex and may involve causal, resulting, or shared etiological factors. Our study supports previous research, revealing that HS patients frequently experience multimorbidity, with almost three in four presenting with multiple diseases and symptoms of different origins.</p>
<p>Previous studies have shown a correlation between HS and obesity. Rates among patients with HS range from 12 to 88%, depending on the specific population studied (<xref ref-type="bibr" rid="ref31">31</xref>, <xref ref-type="bibr" rid="ref33">33</xref>). A meta-analysis across Asia, Europe, and the United States involving 5,878 HS patients and over 13 million controls found that individuals with HS are four times more likely to be obese compared with the general population (pooled OR, 4.02 [2.66&#x2013;6.06]) (<xref ref-type="bibr" rid="ref34">34</xref>). In addition, obesity can exacerbate dyslipidemia. Several studies have reported a significant association between HS and lipid abnormalities, including hyperlipidemia and decreased high-density lipoprotein (HDL) cholesterol levels. The largest cross-sectional study of 3,207 HS patients and 6,412 controls found a significantly higher risk of hyperlipidemia in the HS group versus the control population (OR 1.17) (<xref ref-type="bibr" rid="ref35">35</xref>). A case&#x2013;control study also reported a significant association between HS and decreased HDL cholesterol levels in both hospital-and population-based HS patients (<xref ref-type="bibr" rid="ref14">14</xref>).</p>
<p>Type 2 diabetes is a comorbidity of HS: a meta-analysis of 12 studies revealed a notably higher proportion of DM in HS cases than in non-HS healthy controls (16.1% vs. 15.7%), and a 2.17-fold higher risk of HS in patients with DM (<xref ref-type="bibr" rid="ref8">8</xref>). The prevalence of DM in HS patients in out cohort was lower than that reported in other studies.</p>
<p>HS frequently impacts other vital organ systems, notably the digestive and musculoskeletal systems. While our study did not find significant associations with IBD, it is crucial to acknowledge the complex relationship between HS and conditions like Crohn&#x2019;s disease and ulcerative colitis. Both HS and IBD are chronic inflammatory conditions predominantly affecting young individuals, and they are thought to share common genetic and environmental factors (<xref ref-type="bibr" rid="ref16">16</xref>). The challenge in distinguishing between perineal manifestations of both diseases can complicate epidemiological findings. Nevertheless, numerous studies have highlighted a concurrent occurrence of HS and IBD, particularly with Crohn&#x2019;s disease (<xref ref-type="bibr" rid="ref36">36</xref>). Reported prevalence figures vary widely, ranging from 1.2 to 23%, depending on the specific populations and methodologies employed (<xref ref-type="bibr" rid="ref16">16</xref>). For instance, two case&#x2013;control studies revealed a 2.16- to 10-fold increased likelihood of IBD (encompassing both Crohn&#x2019;s disease and ulcerative colitis) in individuals with HS (<xref ref-type="bibr" rid="ref37">37</xref>). Furthermore, a separate cohort study reported a 5.6-fold elevated risk of developing IBD in patients with HS (<xref ref-type="bibr" rid="ref37">37</xref>).</p>
<p>Musculoskeletal comorbidities represent a significant burden for HS patients. Inflammatory forms of arthritis, including rheumatoid arthritis, spondyloarthritis, and psoriatic arthritis, are well-documented associations. Previous research in HS patients indicates prevalences of 3.6% (OR 2.5; 95% IC 1.6&#x2013;3.9) for rheumatoid arthritis, 9.1% (3.3; 2.0&#x2013;5.4) for spondyloarthritis, and 4.9% (3.1; 1.8&#x2013;5.3) for psoriatic arthritis (<xref ref-type="bibr" rid="ref17">17</xref>, <xref ref-type="bibr" rid="ref18">18</xref>). In our cohort, we observed an association between HS and spondylosis, which may represent a broader category encompassing various forms of inflammatory arthritis, albeit with a lower observed odds ratio than reported in some prior studies (<xref ref-type="bibr" rid="ref17">17</xref>, <xref ref-type="bibr" rid="ref18">18</xref>).</p>
<p>The association between HS and an increased risk of cardiovascular disease is a critical area of concern. Establishing a direct causal link between HS and cardiovascular conditions is challenging, primarily because HS frequently co-occurs with intermediate risk factors such as obesity and dyslipidemia, which themselves can independently alter cardiovascular risk (<xref ref-type="bibr" rid="ref10">10</xref>, <xref ref-type="bibr" rid="ref12">12</xref>, <xref ref-type="bibr" rid="ref14">14</xref>). Hypertension, a well-established risk factor for cardiovascular diseases, is positively associated with HS. Our study population revealed a significant association between hypertension and HS, with a prevalence of 19.74% (aOR 1.26; CI 95% 1.05&#x2013;1.52). However, we observed no significant association with cerebrovascular disease or acute myocardial infarction. Studies conducted in populations similar to ours have reported links between HS and comorbidities prevalent within those groups (<xref ref-type="bibr" rid="ref11">11</xref>, <xref ref-type="bibr" rid="ref12">12</xref>, <xref ref-type="bibr" rid="ref38">38</xref>, <xref ref-type="bibr" rid="ref39">39</xref>). These divergent findings prompt further inquiry into whether our population exhibits distinct characteristics, or if variations in statistical adjustments might account for these differences.</p>
<p>Neuropsychiatric comorbidities are highly prevalent in HS patients and significantly contribute to their overall disease burden. Conditions such as depression, anxiety, and alcoholism have consistently shown a positive relationship with HS in existing literature, both in terms of occurrence and odds ratios (<xref ref-type="bibr" rid="ref19 ref20 ref21 ref22">19&#x2013;22</xref>). However, the reported prevalence rates for these conditions tend to fluctuate notably based on the study type and the specific screening methods employed. In our cohort, rates of related comorbidities including alcohol-related disorders, sexual disorders, anxiety disorders, and depression/mood disorders were slightly lower than those reported previously (<xref ref-type="bibr" rid="ref21">21</xref>). This variability may be partially explained by the fact that our data were derived from diagnoses made by patients&#x2019; physicians, rather than from proactive screening initiatives.</p>
<p>Intriguingly, the neuropsychiatric comorbidity most strongly associated with HS in our study was schizophrenia and other psychotic disorders (aOR 2.17; 95% CI 1.16&#x2013;4.06). This aligns with the findings of a systematic review and meta-analysis in which the likelihood of having schizophrenia was significantly higher in HS patients than control groups (OR 1.66, 95% CI: 1.53&#x2013;1.79) (<xref ref-type="bibr" rid="ref22">22</xref>). Chronic inflammation is posited as a key mechanism underlying the relationship between HS and schizophrenia, given that elevated levels of proinflammatory cytokines have been detected in HS skin lesions, as well as in the serum and cerebrospinal fluid of schizophrenia patients (<xref ref-type="bibr" rid="ref22">22</xref>). Further supporting this connection, a large study in Finland identified a significant link between HS and schizophrenia, reporting a prevalence of 2.4% in HS patients, which is notably higher than rates observed both in psoriasis patients and the general control population (<xref ref-type="bibr" rid="ref40">40</xref>).</p>
<p>Several studies have demonstrated a significant association between HS and acne vulgaris, particularly in younger patients (<xref ref-type="bibr" rid="ref41">41</xref>, <xref ref-type="bibr" rid="ref42">42</xref>). Both conditions share common pathophysiological mechanisms, including follicular occlusion and neutrophilic inflammation, suggesting a shared pathogenic basis (<xref ref-type="bibr" rid="ref42">42</xref>). The prevalence of acne among patients with HS is estimated at 15&#x2013;20%, with higher rates observed in early-onset HS or syndromic phenotypes (<xref ref-type="bibr" rid="ref41">41</xref>). In our study, acne was included under the broader coding category of &#x201C;skin and subcutaneous tissue infections.&#x201D; This categorization prevented us from establishing the specific prevalence of acne in HS patients. However, the overall prevalence of cutaneous infections in this group was 6.18%, indicating a significant association (aOR 3.32; 95% CI 2.56&#x2013;4.30), and acne constitutes an important component of this category. This relationship is clinically important, both diagnostically and therapeutically. Azithromycin, a macrolide with anti-inflammatory properties, has shown efficacy in the treatment of acne in adolescents and may offer therapeutic benefits in HS owing to its immunomodulatory and antimicrobial effects (<xref ref-type="bibr" rid="ref43">43</xref>). Similarly, tetracyclines such as doxycycline and minocycline, widely used in acne management, have shown clinical effectiveness in mild-to-moderate HS through their dual anti-inflammatory and antimicrobial actions (<xref ref-type="bibr" rid="ref42">42</xref>). These therapeutic parallels underscore the importance of considering acne not only as a frequent comorbidity of HS but also as a potential avenue for shared treatment strategies.</p>
<p>A relationship between HS and neoplasms has been previously described. Recent studies report that patients with HS have an increased overall cancer risk and specifically an elevated risk of squamous cell carcinoma (<xref ref-type="bibr" rid="ref44">44</xref>). In line with that study, we observed a prevalence of neoplasms of 5.88% in HS patients, but detected no significant association.</p>
<p>Our findings have important implications for the understanding of HS-related comorbidities, and highlight opportunities to refine HS management and improve patient well-being. Nonetheless, it should be noted that correlation does not imply causation, and thus caution is advised when interpreting these findings. While certain associations reported here align with those of earlier studies, others are novel and may necessitate further exploration to elucidate the underlying biological mechanisms.</p>
<p>The main strength of our research stems from the extensive, population-based approach applied, encompassing nearly all HS diagnoses within the reference area. Moreover, our comprehensive analysis of HS-related comorbidities involved a thorough examination of virtually all chronic conditions diagnosed in both primary and hospital care, and was not limited to the most prevalent or pertinent comorbidities. The utilization of Electronic Health Records (EHRs) ensured reliability of the data, which underwent continual quality control checks. However, it should be noted that clinical data were not clinically validated and were dependent on registered diagnostic codes, which may not fully represent the actual clinical status of patients. Another limitation of our study was its retrospective cross-sectional design, which inherently prevents determination of the sequential appearance of diseases, thereby impeding the establishment of cause-and-effect relationships between HS and its comorbidities. Moreover, some relevant variables (e.g., HS severity or staging, genetic information, social variables, patient-reported outcomes) were unavailable. Other variables, such as smoking status and obesity, were clearly underreported, precluding their inclusion in adjusted models. Finally, the grouping of the original diagnostic codes into Clinical Classifications Software (CCS) categories, while improving reproducibility and comparability, could potentially hamper the clinical interpretation of results due to the non-specificity of some diagnostic categories.</p>
</sec>
<sec sec-type="conclusions" id="sec15">
<label>5</label>
<title>Conclusion</title>
<p>This large-scale, population-based study provides a comprehensive overview of the comorbidity burden associated with HS. Our findings confirm that HS is not merely a dermatologic condition, but also a systemic disease frequently associated with multiple chronic disorders across metabolic, cardiovascular, neuropsychiatric, musculoskeletal, and infectious domains. Nearly three out of four patients with HS experienced multimorbidity, highlighting the importance of early and integrated management. The strong associations identified between HS and conditions such as obesity, schizophrenia, skin infections, and white blood cell disorders emphasize the need for multidisciplinary care strategies and routine screening for comorbidities. These insights can inform clinical practice and policy by guiding risk stratification, surveillance, and resource allocation. Future longitudinal research is warranted to clarify temporal relationships and underlying mechanisms linking HS to its associated conditions.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="sec16">
<title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec sec-type="ethics-statement" id="sec17">
<title>Ethics statement</title>
<p>The studies involving humans were approved by Ethical approval for this study was obtained from the Clinical Research Ethics Committee of Arag&#x00F3;n (CEICA) that approved the research protocol for this study (PI23/607). The studies were conducted in accordance with the local legislation and institutional requirements. The ethics committee/institutional review board waived the requirement of written informed consent for participation from the participants or the participants&#x2019; legal guardians/next of kin because Epidemiology study with data from electronic clinical records.</p>
</sec>
<sec sec-type="author-contributions" id="sec18">
<title>Author contributions</title>
<p>MA-B: Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing, Methodology, Funding acquisition, Visualization, Conceptualization, Investigation. TG-C: Supervision, Investigation, Methodology, Writing &#x2013; review &#x0026; editing, Conceptualization, Visualization, Funding acquisition. BP-P: Formal analysis, Methodology, Data curation, Conceptualization, Software, Investigation, Writing &#x2013; review &#x0026; editing. CL-B: Investigation, Methodology, Data curation, Writing &#x2013; review &#x0026; editing, Formal analysis. AN-B: Writing &#x2013; review &#x0026; editing, Investigation. AM-J: Investigation, Writing &#x2013; review &#x0026; editing, Formal analysis, Methodology. AG-M: Resources, Investigation, Writing &#x2013; original draft, Visualization, Funding acquisition, Data curation, Formal analysis, Supervision, Conceptualization, Project administration, Methodology, Writing &#x2013; review &#x0026; editing. YG: Writing &#x2013; original draft, Project administration, Supervision, Methodology, Visualization, Validation, Conceptualization, Investigation, Resources, Writing &#x2013; review &#x0026; editing, Funding acquisition.</p>
</sec>
<sec sec-type="funding-information" id="sec19">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research and/or publication of this article. This research was funded by the Carlos III Institute of Health, Ministry of Science and Innovation (Spain), through the Research Network on Chronicity, Primary Care, and Health Promotion (RICAPPS) awarded on the call for the creation of Health Outcomes-Oriented Cooperative Research Networks (grant number RD21/0016/0019), and by Gobierno de Arag&#x00F3;n (grant number B01_23R) and co-funded with European Union&#x2019;s NextGenerationEU funds. The funders played no role in the design of the study, collection, analysis, and interpretation of data, or preparation of the manuscript.</p>
</sec>
<sec sec-type="COI-statement" id="sec20">
<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>
<p>The author(s) declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision.</p>
</sec>
<sec sec-type="ai-statement" id="sec21">
<title>Generative AI statement</title>
<p>The authors declare that no Gen AI was used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p>
</sec>
<sec sec-type="disclaimer" id="sec22">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
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