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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Aging Neurosci.</journal-id>
<journal-title>Frontiers in Aging Neuroscience</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Aging Neurosci.</abbrev-journal-title>
<issn pub-type="epub">1663-4365</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fnagi.2025.1609790</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Aging Neuroscience</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>The association between chronic rhinosinusitis and the risk of dementia: a longitudinal study</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Zhang</surname>
<given-names>Xinyu</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Yin</surname>
<given-names>Zhongmin</given-names>
</name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<role content-type="https://credit.niso.org/contributor-roles/validation/"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Luo</surname>
<given-names>Jia</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Yang</surname>
<given-names>Runsheng</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author" corresp="yes">
<name>
<surname>Wang</surname>
<given-names>Weijing</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" corresp="yes">
<name>
<surname>Zhang</surname>
<given-names>Dongfeng</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/459025/overview"/>
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<aff id="aff1"><sup>1</sup><institution>Department of Epidemiology and Health Statistics, School of Public Health, Qingdao University</institution>, <addr-line>Qingdao</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>Outpatient and Emergency Department, The Affiliated Hospital of Qingdao University</institution>, <addr-line>Qingdao</addr-line>, <country>China</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/2192133/overview">Katherine Roe</ext-link>, People for the Ethical Treatment of Animals, United States</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/55946/overview">Leslie M. Kay</ext-link>, The University of Chicago, United States</p><p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3113018/overview">Shah Rezlan Shajahan</ext-link>, Management and Science University, Malaysia</p></fn>
<corresp id="c001">&#x002A;Correspondence: Dongfeng Zhang, <email>zhangdf1961@126.com</email>; Weijing Wang, <email>wangwj@qdu.edu.cn</email></corresp>
</author-notes>
<pub-date pub-type="epub">
<day>06</day>
<month>10</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>17</volume>
<elocation-id>1609790</elocation-id>
<history>
<date date-type="received">
<day>11</day>
<month>04</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>16</day>
<month>09</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2025 Zhang, Yin, Luo, Yang, Wang and Zhang.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Zhang, Yin, Luo, Yang, Wang and Zhang</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>Chronic inflammation status could increase the risk of dementia, and chronic rhinosinusitis (CRS) could cause chronic inflammation status. Therefore, CRS may be associated with dementia. The aim of our study was to investigate the association between CRS and the risk of dementia in the UK Biobank (UKB) cohort.</p>
</sec>
<sec id="sec2">
<title>Materials and methods</title>
<p>A total of 3,64,945 participants were included in this cohort study. CRS information was obtained from the first occurrence date of CRS (Field 131,468) at baseline. A Cox regression model and mediation analysis were performed to measure the association between CRS and dementia.</p>
</sec>
<sec id="sec3">
<title>Results</title>
<p>Chronic rhinosinusitis was significantly associated with an increased risk of Alzheimer&#x2019;s disease (AD) (hazard ratio [HR]: 1.33, 95% CI: 1.04&#x2013;1.71) but was not associated with the risk of all-cause dementia (hazard ratio [HR]: 1.04, 95% CI: 0.86&#x2013;1.26) or vascular dementia (VD) (hazard ratio [HR]: 0.65, 95% CI: 0.40&#x2013;1.07). The male participants, individuals with hypertension, former smokers, participants with less than a college-level education, and participants with a medium-level polygenic risk score for Alzheimer&#x2019;s disease (PRS-AD) were more susceptible to AD. Mediation analysis using the comprehensive inflammatory index showed that the systemic immune-inflammation index (SII) could explain 0.0042 of this association.</p>
</sec>
<sec id="sec4">
<title>Conclusion</title>
<p>Chronic rhinosinusitis may be associated with a higher risk of AD, and the association was mediated, in a very small part, by the SII.</p>
</sec>
</abstract>
<kwd-group>
<kwd>chronic rhinosinusitis</kwd>
<kwd>dementia</kwd>
<kwd>mediation effect</kwd>
<kwd>epidemiology</kwd>
<kwd>longitudinal study</kwd>
</kwd-group>
<counts>
<fig-count count="4"/>
<table-count count="5"/>
<equation-count count="0"/>
<ref-count count="52"/>
<page-count count="11"/>
<word-count count="7165"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Alzheimer's Disease and Related Dementias</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec5">
<label>1</label>
<title>Introduction</title>
<p>Dementia is a common neurodegenerative disease among older adults and includes different sub-phenotypes, such as Alzheimer&#x2019;s disease (AD), vascular dementia (VD), and frontotemporal dementia. AD and VD account for 60%&#x202F;~&#x202F;80 and 15%&#x202F;~&#x202F;20% of all dementia cases (<xref ref-type="bibr" rid="ref49">Wolters and Arfan Ikram, 2019</xref>; <xref ref-type="bibr" rid="ref12">Erkkinen et al., 2018</xref>; <xref ref-type="bibr" rid="ref36">Raz et al., 2016</xref>). According to the World Health Organization (WHO) reports in 2023, the number of people living with dementia worldwide had reached 55 million, with nearly 10 million new cases appearing annually. Dementia causes approximately 1.3 trillion US dollars in economic losses to the global economy each year (<xref ref-type="bibr" rid="ref10">Dementia, 2025</xref>). In addition, as a non-communicable chronic disease (NCD), it is essential to investigate the potential risk factors and implement corresponding measures to prevent and control it. Some studies have found that various factors could increase the risk of dementia, such as aging (<xref ref-type="bibr" rid="ref20">Jin et al., 2024</xref>), less activity (<xref ref-type="bibr" rid="ref34">Raichlen et al., 2023</xref>), education (<xref ref-type="bibr" rid="ref29">L&#x00F6;vd&#x00E9;n et al., 2020</xref>), social participation (<xref ref-type="bibr" rid="ref40">Sommerlad et al., 2023</xref>), and smoking status (<xref ref-type="bibr" rid="ref28">Livingston et al., 2024</xref>; <xref ref-type="bibr" rid="ref11">Durazzo et al., 2014</xref>). Furthermore, other NCDs could also increase the risk of dementia, for example, hypertension (<xref ref-type="bibr" rid="ref3">Barnes and Yaffe, 2011</xref>), diabetes (<xref ref-type="bibr" rid="ref4">Biessels and Despa, 2018</xref>), and obesity (<xref ref-type="bibr" rid="ref43">Tang et al., 2021</xref>).</p>
<p>Chronic rhinosinusitis (CRS) is a disease with a high recurrence rate (<xref ref-type="bibr" rid="ref15">Hamilos, 2011</xref>; <xref ref-type="bibr" rid="ref50">Xie et al., 2023</xref>). Patients with CRS typically experience insomnia, facial pain/pressure, anosmia, and persistent (often &#x2265;12&#x202F;weeks) inflammation of the nasal or sinus mucosa (<xref ref-type="bibr" rid="ref15">Hamilos, 2011</xref>). A mechanistic study revealed that nasal cavity inflammation could propagate through the olfactory bulb and olfactory neural system, potentially serving as a link between CRS and dementia (<xref ref-type="bibr" rid="ref16">Harrass et al., 2021</xref>). Several studies&#x2019; results have shown that inflammation status may be associated with the risk of dementia (<xref ref-type="bibr" rid="ref51">Zhang et al., 2022</xref>; <xref ref-type="bibr" rid="ref30">Luo et al., 2022</xref>; <xref ref-type="bibr" rid="ref33">Patani et al., 2023</xref>). In addition, some cross-sectional studies have shown that CRS might be a risk factor for AD or cognitive dysfunction (<xref ref-type="bibr" rid="ref21">Jung et al., 2021</xref>; <xref ref-type="bibr" rid="ref6">Chung et al., 2015</xref>). However, the results of a longitudinal study and a nested case&#x2013;control study showed that CRS was not associated with dementia or the subtypes of dementia, such as AD and Parkinson&#x2019;s disease (<xref ref-type="bibr" rid="ref48">Wee et al., 2020</xref>). Therefore, the association between CRS and the risk of dementia warrants further attention.</p>
<p>Given the inconsistency of the above research results, the lack of research exploring the mediating role of inflammation in CRS and dementia, and the lack of large-scale cohort studies in this field, we conducted this cohort study to evaluate the association between CRS and the risk of dementia using the UK Biobank (UKB) and explore whether inflammatory factors mediate the association between CRS and dementia. Investigating the association among CRS, dementia, and inflammation can help understand the relationship between different organs of the body and disease processes.</p>
</sec>
<sec sec-type="materials|methods" id="sec6">
<label>2</label>
<title>Materials and methods</title>
<sec id="sec7">
<label>2.1</label>
<title>Study population and design</title>
<p>The UK Biobank (UKB) is a prospective cohort study that recruited more than 5,00,000 participants from 22 assessment centers across the UK from 2006 to 2010. The baseline data of the participants were obtained from the UKB, including sex, age, and ethnicity. The follow-up period was from 1st January 2011 to 1st January 2023. The time from the start of the follow-up to the incidence of dementia or death was used as the survival time variable in this analysis. We excluded patients who developed CRS after the start of the follow-up (<italic>N</italic>&#x202F;=&#x202F;3,984), those who died before the start of the follow-up (<italic>N</italic>&#x202F;=&#x202F;2,668), those with dementia at baseline (<italic>N</italic>&#x202F;=&#x202F;368), and those without covariates data (<italic>N</italic>&#x202F;=&#x202F;130,405). The flowchart of the study design is presented in <xref ref-type="fig" rid="fig1">Figure 1</xref>. Ethical approval was obtained from the National Information Governance Board for Health and Social Care and the National Health Service Northwest Multi-Center Research Ethics Committee. All participants provided informed consent via electronic signature prior to enrollment.</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>Flowchart of the study.</p>
</caption>
<graphic xlink:href="fnagi-17-1609790-g001.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Flowchart detailing participant inclusion and exclusion criteria in a study. Initially, 502,370 participants were considered. Exclusions include dead participants (2,668), those with CRS after follow-up (3,984), dementia before follow-up (368), and lacking covariates and mediator data (130,405) with specific breakdowns. Eventually, 364,945 participants were included. Analysis methods involve Cox regression, mediation effect analysis, subgroup analysis, death competitive risk model, and sensitivity analysis excluding participants with follow-up time less than two years (2,636).</alt-text>
</graphic>
</fig>
</sec>
<sec id="sec8">
<label>2.2</label>
<title>Chronic rhinosinusitis diagnosis</title>
<p>We used Field 131,468 and Field 41,270 to identify CRS, which included chronic maxillary sinusitis, chronic frontal sinusitis, chronic ethmoidal sinusitis, chronic sphenoidal sinusitis, chronic pansinusitis, other chronic sinusitis, and unspecified chronic sinusitis. These variables were used to diagnose patients with CRS according to the International Statistical Classification of Diseases and Related Health Problems, 10th Revision (ICD-10) code J32, and to determine the first occurrence date of CRS. Ultimately, we included 7,176 patients with CRS.</p>
</sec>
<sec id="sec9">
<label>2.3</label>
<title>Dementia diagnosis</title>
<p>We divided dementia into three categories: all-cause dementia, AD, and VD. The diagnosis of dementia and its classifications were conducted according to the International Classification of Diseases, Ninth Revision (ICD-09) codes and ICD-10 codes. We used the variables&#x2014;algorithmically defined dementia outcomes and ICD-10 codes&#x2014;to determine the date of dementia diagnosis. We included 5,329 dementia patients, including 2,538&#x202F;AD cases and 1,232 VD cases. Other disease types were not studied due to insufficient case numbers. The details of dementia diagnoses and its sub-phenotypes are provided in <xref ref-type="supplementary-material" rid="SM1">Supplementary materials 1, 2</xref>.</p>
</sec>
<sec id="sec10">
<label>2.4</label>
<title>Covariates</title>
<p>Relevant covariates were collected at baseline. Given that dementia is a chronic NCD and based on prior knowledge from previous studies, many factors may influence its occurrence. Therefore, we included the following covariates: demographic factors such as age, sex, ethnicity, education, and the Townsend deprivation index (TDI); lifestyle factors including alcohol consumption status, smoking status, body mass index (BMI), and physical activity level (<xref ref-type="bibr" rid="ref5">Cassidy et al., 2016</xref>); and disease-related factors, adjusting for hypertension, diabetes, stroke, and cancer. In addition, we included social isolation status, sleeplessness, and a standardized polygenic risk score for Alzheimer&#x2019;s disease (PRS-AD) as covariates. People with social isolation are more prone to dementia, and older adults are more likely to experience social isolation, which may affect the occurrence of dementia (<xref ref-type="bibr" rid="ref37">Ren et al., 2023</xref>). Regarding sleeplessness, patients with CRS usually experience sleep disturbances, which can reduce quality of life (<xref ref-type="bibr" rid="ref44">Tarasidis et al., 2015</xref>) and impair cognitive performance (<xref ref-type="bibr" rid="ref47">Wardle-Pinkston et al., 2019</xref>). These effects may play a critical role in the long-term development of dementia. In addition, dementia is a polygenic hereditary disease. Hence, we adjusted for the PRS-AD to control for the genetic factors associated with dementia. The details of the covariates are provided in <xref ref-type="supplementary-material" rid="SM1">Supplementary material 3</xref>.</p>
</sec>
<sec id="sec11">
<label>2.5</label>
<title>Mediators</title>
<p>The UKB used Beckman Coulter LH750 instruments to analyze blood samples from 500,000 participants, which were collected in 4&#x202F;mL EDTA vacutainers. The LH750 hematology analyzer is a quantitative, automated hematology analyzer and leukocyte differential counter. We selected inflammation indexes, such as the systemic immune-inflammation index (SII, neutrophils&#x002A;platelets/lymphocytes), the neutrophil-to-lymphocyte ratio (NLR, neutrophils/lymphocytes), and the platelet-to-lymphocyte ratio (PLR, platelets/lymphocytes). To minimize the effect of extreme values and achieve a more normal or symmetrical data distribution, we used the 1st and 99th percentiles as convergence values and log-converted the data. The histogram of the log-converted SII is shown in <xref ref-type="supplementary-material" rid="SM1">Supplementary material 4</xref>.</p>
</sec>
<sec id="sec12">
<label>2.6</label>
<title>Statistical analysis</title>
<p>Baseline characteristics were summarized according to CRS status: mean (standard deviation [SD]) for continuous variables with a normal or symmetric distribution, median (interquartile Range [IQR]) for continuous variables with a non-normal distribution, and number (percentage) for categorical variables. We used the chi-squared test for categorical variables, the <italic>t</italic>-test for continuous variables with a normal distribution, and the Mann&#x2013;Whitney <italic>U</italic> test for continuous variables with a non-normal distribution.</p>
<p>We used a Cox proportional hazards regression model to evaluate the association between CRS and the risk of different dementia phenotypes. We tested the proportional hazards assumption of the Cox regression model using the Schoenfeld test, and the results of the Schoenfeld test did not violate the proportional hazards assumption (<xref ref-type="supplementary-material" rid="SM1">Supplementary material 5</xref>). The results were reported as hazard ratios (HRs) with 95% confidence intervals. The timescale was defined as the follow-up time (in years) from the beginning of the follow-up to the date of dementia diagnosis and/or death. We conducted three models. Model 1 was a crude model without any covariates. In Model 2, we adjusted for age, sex, ethnicity, BMI, TDI, and PRS-AD. Based on Model 2, Model 3 included additional adjustments for education level, alcohol consumption status, smoking status, physical activity level, social isolation status, sleeplessness, hypertension, diabetes, stroke, and cancer. In addition, we performed Kaplan&#x2013;Meier (K&#x2013;M) survival analysis for the cumulative incidence of dementia and different sub-phenotypes.</p>
<p>In the mediation analysis, we used the Process package in SPSS to evaluate the mediating role of inflammatory factors. This analysis provided estimates of the direct effect, indirect effect, total effect, and mediation proportion of inflammatory factors. The direct effect was the impact of CRS on dementia. The indirect effect was calculated as a&#x002A;b, where &#x201C;a&#x201D; represented the estimated value of the impact of CRS on the SII and &#x201C;b&#x201D; represented the estimated value of the impact of the SII on the outcome. The total effect was calculated as direct effect + indirect effect, and the mediating proportion was calculated as indirect effect/total effect &#x002A; 100% (<xref ref-type="bibr" rid="ref45">T&#x00F6;nnies et al., 2023</xref>). The mediation analysis used 1,000 bootstrapping simulations.</p>
<p>To further explore whether the effects of CRS on dementia varied across individual characteristics, subgroup analyses were performed by sex, hypertension, smoking status, education level, and PRS-AD. In addition, three sensitivity analyses were performed to test the robustness of the association between CRS and dementia. First, we performed a competitive risk model, and the competitive outcome was death. Second, we excluded participants with &#x2264;2&#x202F;years of follow-up because dementia is an NCD that usually has a long preclinical stage. Finally, we excluded self-reported CRS cases and performed Cox regression, as self-reported CRS cases may be inaccurate. All statistical analyses were conducted using R 4.4.1 and SPSS 24.0. Statistical significance was defined as a two-sided <italic>p</italic>-value of &#x003C;0.05.</p>
</sec>
</sec>
<sec sec-type="results" id="sec13">
<label>3</label>
<title>Results</title>
<sec id="sec14">
<label>3.1</label>
<title>Participants&#x2019; baseline characteristics</title>
<p>Overall, the median age of the participants at baseline was 60 (13) years, with 173,598 (47.6%) male participants, and the median follow-up time was 12&#x202F;years. Compared to the non-CRS group, the CRS group showed a significantly higher prevalence of hypertension, sleeplessness, and social isolation. The CRS group had a significantly higher SII-log value than the non-CRS group (<xref ref-type="table" rid="tab1">Table 1</xref>).</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>Characteristics of the dementia patients and control participants at baseline.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Characteristics</th>
<th align="center" valign="top">Overall (<italic>N</italic> =&#x202F;364,945)</th>
<th align="center" valign="top">CRS cases (<italic>N</italic> =&#x202F;7,176)</th>
<th align="center" valign="top">Non-CRS cases (<italic>N</italic> =&#x202F;357,769)</th>
<th align="center" valign="top"><italic>P</italic>-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">Mean follow-up time (median [IQR])</td>
<td align="center" valign="middle">12 (0)</td>
<td align="center" valign="middle">12 (0)</td>
<td align="center" valign="middle">12 (0)</td>
<td align="center" valign="middle">0.64</td>
</tr>
<tr>
<td align="left" valign="middle">Age (median [IQR])</td>
<td align="center" valign="middle">60 (13)</td>
<td align="center" valign="middle">61 (12)</td>
<td align="center" valign="middle">60 (13)</td>
<td align="center" valign="middle">&#x003C;0.01</td>
</tr>
<tr>
<td align="left" valign="middle">Sex (%)</td>
<td/>
<td/>
<td/>
<td align="center" valign="middle">&#x003C;0.01</td>
</tr>
<tr>
<td align="left" valign="middle">Female</td>
<td align="center" valign="top">191,347 (52.4%)</td>
<td align="center" valign="top">4,166 (58.1%)</td>
<td align="center" valign="top">187,181 (52.3%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Male</td>
<td align="center" valign="top">173,598 (47.6%)</td>
<td align="center" valign="top">3,010 (41.9%)</td>
<td align="center" valign="top">170,588 (47.7%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Ethnicity</td>
<td/>
<td/>
<td/>
<td align="center" valign="middle">0.105</td>
</tr>
<tr>
<td align="left" valign="middle">Not White</td>
<td align="center" valign="top">32,562 (8.9%)</td>
<td align="center" valign="top">601 (8.4%)</td>
<td align="center" valign="top">31,961 (8.9%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">White</td>
<td align="center" valign="top">332,383 (91.1%)</td>
<td align="center" valign="top">6,575 (91.6%)</td>
<td align="center" valign="top">325,808 (91.1%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">SII-log (median [IQR])</td>
<td align="center" valign="middle">6.26 (0.60)</td>
<td align="center" valign="middle">6.27 (0.62)</td>
<td align="center" valign="middle">6.26 (0.60)</td>
<td align="center" valign="middle">0.017</td>
</tr>
<tr>
<td align="left" valign="middle">Education (%)</td>
<td/>
<td/>
<td/>
<td align="center" valign="middle">0.85</td>
</tr>
<tr>
<td align="left" valign="middle">Lower</td>
<td align="center" valign="top">236,229 (64.7%)</td>
<td align="center" valign="top">4,709 (65.6%)</td>
<td align="center" valign="top">231,520 (64.7%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Higher</td>
<td align="center" valign="top">128,716 (35.3%)</td>
<td align="center" valign="top">2,467 (34.4%)</td>
<td align="center" valign="top">126,249 (35.3%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">BMI</td>
<td/>
<td/>
<td/>
<td align="center" valign="middle">0.13</td>
</tr>
<tr>
<td align="left" valign="middle">Normal weight</td>
<td align="center" valign="top">122,072 (33.4%)</td>
<td align="center" valign="top">2,316 (32.3%)</td>
<td align="center" valign="top">119,756 (33.5%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Underweight</td>
<td align="center" valign="top">1795 (0.5%)</td>
<td align="center" valign="top">38 (0.5%)</td>
<td align="center" valign="top">1757 (0.5%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Overweight</td>
<td align="center" valign="top">156,812 (43.0%)</td>
<td align="center" valign="top">3,103 (43.2%)</td>
<td align="center" valign="top">153,709 (43.0%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Obesity</td>
<td align="center" valign="top">84,266 (23.1%)</td>
<td align="center" valign="top">1719 (24.0%)</td>
<td align="center" valign="top">82,547 (23.1%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">TDI (%)</td>
<td/>
<td/>
<td/>
<td align="center" valign="middle">0.002</td>
</tr>
<tr>
<td align="left" valign="middle">Lower</td>
<td align="center" valign="top">73,457 (20.1%)</td>
<td align="center" valign="top">1,464 (20.4%)</td>
<td align="center" valign="top">71,993 (20.1%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Low</td>
<td align="center" valign="top">73,127 (20.0%)</td>
<td align="center" valign="top">1,515 (21.1%)</td>
<td align="center" valign="top">71,612 (20.0%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Mid</td>
<td align="center" valign="top">73,022 (20.0%)</td>
<td align="center" valign="top">1,470 (20.5%)</td>
<td align="center" valign="top">71,552 (20.0%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">High</td>
<td align="center" valign="top">72,757 (19.9%)</td>
<td align="center" valign="top">1,427 (19.9%)</td>
<td align="center" valign="top">71,330 (19.9%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Higher</td>
<td align="center" valign="top">72,582 (19.9%)</td>
<td align="center" valign="top">1,300 (18.1%)</td>
<td align="center" valign="top">71,282 (19.9%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">PRS-AD (%)</td>
<td/>
<td/>
<td/>
<td align="center" valign="middle">0.19</td>
</tr>
<tr>
<td align="left" valign="middle">Low</td>
<td align="center" valign="top">72,968 (20.0%)</td>
<td align="center" valign="top">1,393 (19.4%)</td>
<td align="center" valign="top">71,575 (20.0%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Mid</td>
<td align="center" valign="top">218,943 (60.0%)</td>
<td align="center" valign="top">4,380 (61.0%)</td>
<td align="center" valign="top">214,563 (60.0%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">High</td>
<td align="center" valign="top">73,034 (20.0%)</td>
<td align="center" valign="top">1,403 (19.6%)</td>
<td align="center" valign="top">71,631 (20.0%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Smoking status (%)</td>
<td/>
<td/>
<td/>
<td align="center" valign="middle">&#x003C;0.01</td>
</tr>
<tr>
<td align="left" valign="middle">Never</td>
<td align="center" valign="top">200,670 (55.0%)</td>
<td align="center" valign="top">3,945 (55.0%)</td>
<td align="center" valign="top">196,725 (55.0%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Previous</td>
<td align="center" valign="top">127,529 (34.9%)</td>
<td align="center" valign="top">2,649 (36.9%)</td>
<td align="center" valign="top">124,880 (34.9%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Current</td>
<td align="center" valign="top">36,746 (10.1%)</td>
<td align="center" valign="top">582 (8.1%)</td>
<td align="center" valign="top">36,164 (10.1%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Alcohol consumption (%)</td>
<td/>
<td/>
<td/>
<td align="center" valign="middle">0.51</td>
</tr>
<tr>
<td align="left" valign="middle">Never/Previous</td>
<td align="center" valign="top">14,123 (3.9%)</td>
<td align="center" valign="top">289 (4.0%)</td>
<td align="center" valign="top">13,834 (3.9%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Current</td>
<td align="center" valign="top">350,822 (96.1%)</td>
<td align="center" valign="top">6,887 (96.0%)</td>
<td align="center" valign="top">343,935 (96.1%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Level of physical activity</td>
<td/>
<td/>
<td/>
<td align="center" valign="middle">0.008</td>
</tr>
<tr>
<td align="left" valign="middle">Low</td>
<td align="center" valign="top">67,921 (18.6%)</td>
<td align="center" valign="top">1,432 (20.0%)</td>
<td align="center" valign="top">66,489 (18.6%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Moderate</td>
<td align="center" valign="top">149,029 (40.8%)</td>
<td align="center" valign="top">2,917 (40.6%)</td>
<td align="center" valign="top">146,112 (40.8%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">High</td>
<td align="center" valign="top">147,995 (40.6%)</td>
<td align="center" valign="top">2,827 (39.4%)</td>
<td align="center" valign="top">145,168 (40.6%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Hypertension (%)</td>
<td align="center" valign="top">85,952 (23.6%)</td>
<td align="center" valign="top">1762 (24.6%)</td>
<td align="center" valign="top">84,190 (23.5%)</td>
<td align="center" valign="middle">0.044</td>
</tr>
<tr>
<td align="left" valign="middle">Cancer (%)</td>
<td align="center" valign="top">47,448 (13.0%)</td>
<td align="center" valign="top">955 (13.3%)</td>
<td align="center" valign="top">46,493 (13.0%)</td>
<td align="center" valign="middle">0.47</td>
</tr>
<tr>
<td align="left" valign="middle">Diabetes (%)</td>
<td align="center" valign="top">18,591 (5.1%)</td>
<td align="center" valign="top">346 (4.8%)</td>
<td align="center" valign="top">18,245 (5.1%)</td>
<td align="center" valign="middle">0.30</td>
</tr>
<tr>
<td align="left" valign="middle">Stroke (%)</td>
<td align="center" valign="top">514 (0.1%)</td>
<td align="center" valign="top">9 (0.1%)</td>
<td align="center" valign="top">505 (0.1%)</td>
<td align="center" valign="middle">0.063</td>
</tr>
<tr>
<td align="left" valign="middle">Sleeplessness (%)</td>
<td/>
<td/>
<td/>
<td align="center" valign="middle">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="middle">Never/Sometimes</td>
<td align="center" valign="top">265,721 (72.8%)</td>
<td align="center" valign="top">4,828 (67.3%)</td>
<td align="center" valign="top">260,893 (72.9%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Usually</td>
<td align="center" valign="top">99,224 (27.2%)</td>
<td align="center" valign="top">2,348 (32.7%)</td>
<td align="center" valign="top">96,876 (27.1%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Social isolation (%)</td>
<td align="center" valign="top">29,924 (8.2%)</td>
<td align="center" valign="top">525 (7.3%)</td>
<td align="center" valign="top">29,399 (8.2%)</td>
<td align="center" valign="middle">0.006</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>P</italic>-value is based on the chi-squared test for categorical variables and the <italic>t</italic>-test for continuous variables.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec15">
<label>3.2</label>
<title>Cohort analysis</title>
<p>We investigated the association between CRS and the risk of all-cause dementia, AD, and VD by performing a Cox proportional hazards regression model. Compared to the participants without CRS, the CRS cases had a significantly higher risk of AD (HR: 1.33, 95%CI: 1.04&#x2013;1.71, <italic>p</italic>&#x202F;=&#x202F;0.023) (<xref ref-type="table" rid="tab2">Table 2</xref> and <xref ref-type="fig" rid="fig2">Figure 2A</xref>). However, the CRS cases did not have a significantly higher risk of all-cause dementia (HR: 1.04, 95%CI: 0.86&#x2013;1.26, <italic>p</italic>&#x202F;=&#x202F;0.67) and VD (HR: 0.65, 95%CI: 0.40&#x2013;1.07, <italic>p</italic>&#x202F;=&#x202F;0.091) (<xref ref-type="table" rid="tab2">Table 2</xref> and <xref ref-type="fig" rid="fig2">Figures 2B</xref>,<xref ref-type="fig" rid="fig2">C</xref>).</p>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption>
<p>Association of CRS with all-cause dementia, Alzheimer&#x2019;s disease, and vascular dementia.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th rowspan="2">Types of dementia</th>
<th align="center" valign="top" colspan="2">Model 1</th>
<th align="center" valign="top" colspan="2">Model 2</th>
<th align="center" valign="top" colspan="2">Model 3</th>
</tr>
<tr>
<th align="center" valign="top">HR [95% CI]</th>
<th align="center" valign="top"><italic>P</italic>-value</th>
<th align="center" valign="top">HR [95% CI]</th>
<th align="center" valign="top"><italic>P</italic>-value</th>
<th align="center" valign="top">HR [95% CI]</th>
<th align="center" valign="top"><italic>P</italic>-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">Alzheimer&#x2019;s disease</td>
<td align="center" valign="middle">1.29(1.003&#x2013;1.65)</td>
<td align="center" valign="middle">0.047&#x002A;</td>
<td align="center" valign="middle">1.31(1.02&#x2013;1.68)</td>
<td align="center" valign="middle">0.033&#x002A;</td>
<td align="center" valign="middle">1.33(1.04&#x2013;1.71)</td>
<td align="center" valign="middle">0.023&#x002A;</td>
</tr>
<tr>
<td align="left" valign="middle">All-cause dementia</td>
<td align="center" valign="middle">1.02(0.84&#x2013;1.23)</td>
<td align="center" valign="middle">0.86</td>
<td align="center" valign="middle">1.03(0.85&#x2013;1.25)</td>
<td align="center" valign="middle">0.75</td>
<td align="center" valign="middle">1.04(0.86&#x2013;1.26)</td>
<td align="center" valign="middle">0.67</td>
</tr>
<tr>
<td align="left" valign="middle">Vascular dementia</td>
<td align="center" valign="middle">0.69(0.42&#x2013;1.12)</td>
<td align="center" valign="middle">0.13</td>
<td align="center" valign="middle">0.68(0.41&#x2013;1.11)</td>
<td align="center" valign="middle">0.12</td>
<td align="center" valign="middle">0.65(0.40&#x2013;1.07)</td>
<td align="center" valign="middle">0.091</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>We obtained the HR and 95%CI using Cox regression.</p>
<p>Model 1 was a crude model without adjustment for covariates.</p>
<p>Model 2 was adjusted for age, sex, ethnicity, BMI, Townsend deprivation index, and standardized PRS for Alzheimer&#x2019;s disease.</p>
<p>Model 3, based on Model 2, was additionally adjusted for education level, alcohol consumption, smoking status, physical activity level, social isolation status, sleeplessness, hypertension, diabetes, stroke, and cancer.</p>
<p>BMI, body mass index; CI, confidence interval; HR, hazard ratio.</p>
<p>&#x002A;<italic>p</italic> &#x003C; 0.05; &#x002A;&#x002A;<italic>p</italic> &#x003C; 0.01.</p>
</table-wrap-foot>
</table-wrap>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption>
<p>Survival analyses of dementia cumulative incidence. Kaplan&#x2013;Meier survival analyses were performed to evaluate the cumulative incidence of dementia and its different sub-phenotypes. Figure <bold>(A)</bold> shows the cumulative incidence of Alzheimer&#x2019;s disease between the CRS group and the non-CRS group. Figure <bold>(B)</bold> shows the cumulative incidence of vascular dementia between the CRS group and the non-CRS group. Figure <bold>(C)</bold> shows the cumulative incidence of all-cause dementia between the CRS group and the non-CRS group.</p>
</caption>
<graphic xlink:href="fnagi-17-1609790-g002.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Three graphs showing cumulative incidence over time. Top left graph depicts Alzheimer's disease with a log-rank p-value of 0.046, showing divergent curves. Top right graph shows vascular dementia with a p-value of 0.088, with overlapping curves. Bottom graph presents all-cause dementia with a p-value of 0.86, showing similar curves. Red and blue lines represent different CRS levels.</alt-text>
</graphic>
</fig>
</sec>
<sec id="sec16">
<label>3.3</label>
<title>The mediation effect of inflammation markers</title>
<p>In the mediation analysis, only the SII showed a significant mediating role between CRS and AD. The direct effect between CRS and AD was 0.26 (95%CI: 0.01&#x2013;0.51, <italic>p</italic>&#x202F;=&#x202F;0.038). The estimated value of the impact of CRS on the SII (a) was 0.011 (95%CI: 0.0002&#x2013;0.021, <italic>p</italic>&#x202F;=&#x202F;0.045), and the estimated value of the impact of the SII on the outcome (b) was 0.10 (95%CI: 0.016&#x2013;0.18, <italic>p</italic>&#x202F;=&#x202F;0.02). Therefore, the indirect effect (a&#x002A;b) was 0.0011 (95%CI: 0.0006&#x2013;0.0029), indicating that the increased inflammation level due to CRS may contribute to AD. In addition, the mediation proportion results showed that inflammation status could mediate the association between CRS and AD, and the SII level positively explained the association between CRS and AD, with a value of 0.0042 (<xref ref-type="fig" rid="fig3">Figure 3</xref>). The mediation results of all-cause dementia and VD were not significant and are shown in <xref ref-type="supplementary-material" rid="SM1">Supplementary materials 6, 7</xref>.</p>
<fig position="float" id="fig3">
<label>Figure 3</label>
<caption>
<p>Mediation analysis path diagram. Mediation analysis of the SII on the association between CRS and Alzheimer&#x2019;s disease. Mediation proportion&#x202F;=&#x202F;Indirect effect/[Indirect effect&#x202F;+&#x202F;Direct effect]. The analysis was adjusted for age, sex, ethnicity, education, Townsend deprivation index, alcohol consumption, smoking status, BMI, physical activity level, social isolation status, sleeplessness, hypertension, diabetes, stroke, cancer, and standardized PRS for Alzheimer&#x2019;s disease. &#x002A;<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05, &#x002A;&#x002A;<italic>p</italic>&#x202F;&#x003C;&#x202F;0.001, &#x002A;&#x002A;&#x002A;<italic>p</italic>&#x202F;&#x003C;&#x202F;0.0001.</p>
</caption>
<graphic xlink:href="fnagi-17-1609790-g003.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Diagram showing relationships in Alzheimer's disease mediation analysis. CRS affects Alzheimer's disease directly and indirectly through SII. Arrows indicate paths: CRS to SII (a=0.011, P=0.045), SII to Alzheimer&#x2019;s (b=0.10, P=0.02), CRS directly to Alzheimer's (effect=0.26, P=0.038). Indirect effect is 0.0011 (0.0006, 0.0029), mediation proportion is 0.0042.</alt-text>
</graphic>
</fig>
</sec>
<sec id="sec17">
<label>3.4</label>
<title>Subgroup analysis and sensitivity analysis</title>
<p>To identify the influence of important variables on the association between CRS and dementia disease, we performed a series of subgroup analyses by sex, education level, hypertension, PRS-AD, and smoking status. In the sex subgroup analysis, CRS was associated with a higher risk of all-cause dementia (HR: 1.37, 95%CI: 1.08&#x2013;1.73, <italic>p</italic>&#x202F;=&#x202F;0.01) and AD (HR: 1.84, 95%CI: 1.35&#x2013;2.52, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001) only in the male participants. In the hypertension subgroup analysis, CRS was associated with a higher risk of AD (HR: 1.53, 95%CI: 1.01&#x2013;2.32, <italic>p</italic>&#x202F;=&#x202F;0.043) in the hypertension group. In the smoking status-stratified analysis, CRS was significantly associated with a higher risk of AD (HR: 1.52, 95%CI: 1.07&#x2013;2.15, <italic>p</italic>&#x202F;=&#x202F;0.018) only in the former smokers group. In the education subgroup analysis, we divided the participants into two groups according to education level: college or above and below college. CRS was significantly associated with a higher risk of AD (HR: 1.41, 95%CI: 1.07&#x2013;1.86, <italic>p</italic>&#x202F;=&#x202F;0.014) in the low education group only. In PRS-AD subgroup analysis, CRS was significantly associated with a higher risk of AD (HR: 1.50, 95%CI: 1.05&#x2013;2.15, <italic>p</italic>&#x202F;=&#x202F;0.026) in the mid PRS-AD group only (<xref ref-type="fig" rid="fig4">Figure 4</xref> and <xref ref-type="supplementary-material" rid="SM1">Supplementary material 8</xref>).</p>
<fig position="float" id="fig4">
<label>Figure 4</label>
<caption>
<p>Stratified analysis by sex, hypertension, smoking status, education level, and PRS-AD.</p>
</caption>
<graphic xlink:href="fnagi-17-1609790-g004.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Forest plot showing hazard ratios (HR) for Alzheimer's disease. Categories include sex, hypertension, smoking status, education, and polygenic risk score (PRS). Male has an HR of 1.84, hypertension 1.53, current smoking 0.58, lower education 1.41, with significant p-values. Error bars indicate 95% confidence intervals.</alt-text>
</graphic>
</fig>
<p>In the sensitivity analysis, the results of the competing risk models were in accordance with the results of the main Cox regression model (<xref ref-type="table" rid="tab3">Table 3</xref>). After excluding participants with &#x2264;2&#x202F;years of follow-up, CRS was still significantly associated with a higher risk of AD (<xref ref-type="table" rid="tab4">Table 4</xref>). After excluding self-reported CRS cases, the results were consistent with the results of the Cox regression model, and the HR estimates were higher than those from the main Cox regression model (<xref ref-type="table" rid="tab5">Table 5</xref>).</p>
<table-wrap position="float" id="tab3">
<label>Table 3</label>
<caption>
<p>Sensitivity analysis 1&#x2014;death competing risk model.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th rowspan="2">Types of dementia</th>
<th align="center" valign="top" colspan="2">Model 1</th>
<th align="center" valign="top" colspan="2">Model 2</th>
<th align="center" valign="top" colspan="2">Model 3</th>
</tr>
<tr>
<th align="center" valign="top">HR [95% CI]</th>
<th align="center" valign="top"><italic>P</italic>-value</th>
<th align="center" valign="top">HR [95% CI]</th>
<th align="center" valign="top"><italic>P</italic>-value</th>
<th align="center" valign="top">HR [95% CI]</th>
<th align="center" valign="top"><italic>P</italic>-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">Alzheimer&#x2019;s disease</td>
<td align="center" valign="middle">1.29(1.01&#x2013;1.66)</td>
<td align="center" valign="middle">&#x003C;0.05&#x002A;</td>
<td align="center" valign="middle">1.33(1.04&#x2013;1.70)</td>
<td align="center" valign="middle">&#x003C;0.05&#x002A;</td>
<td align="center" valign="middle">1.35(1.05&#x2013;1.73)</td>
<td align="center" valign="middle">&#x003C;0.05&#x002A;</td>
</tr>
<tr>
<td align="left" valign="middle">All-cause dementia</td>
<td align="center" valign="middle">1.05(0.87&#x2013;1.28)</td>
<td align="center" valign="middle">&#x003E;0.05</td>
<td align="center" valign="middle">1.04(0.86&#x2013;1.26)</td>
<td align="center" valign="middle">&#x003E;0.05</td>
<td align="center" valign="middle">1.02(0.84&#x2013;1.24)</td>
<td align="center" valign="middle">&#x003E;0.05</td>
</tr>
<tr>
<td align="left" valign="middle">Vascular dementia</td>
<td align="center" valign="middle">0.70(0.42&#x2013;1.14)</td>
<td align="center" valign="middle">&#x003E;0.05</td>
<td align="center" valign="middle">0.67(0.41&#x2013;1.1)</td>
<td align="center" valign="middle">&#x003E;0.05</td>
<td align="center" valign="middle">0.66(0.40&#x2013;1.07)</td>
<td align="center" valign="middle">&#x003E;0.05</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>We obtained the HR and 95%CI using the death competing risk model.</p>
<p>Model 1 was a crude model without adjustment for covariates.</p>
<p>Model 2 was adjusted for age, sex, ethnicity, BMI, Townsend deprivation index, and standardized PRS for Alzheimer&#x2019;s disease.</p>
<p>Model 3, based on Model 2, was additionally adjusted for education level, alcohol consumption, smoking status, physical activity level, social isolation status, sleeplessness, hypertension, diabetes, stroke, and cancer.</p>
<p>BMI, body mass index; CI, confidence interval; HR, hazard ratio.</p>
<p>&#x002A;<italic>p</italic> &#x003C; 0.05; &#x002A;&#x002A;<italic>p</italic> &#x003C; 0.01.</p>
</table-wrap-foot>
</table-wrap>
<table-wrap position="float" id="tab4">
<label>Table 4</label>
<caption>
<p>Sensitivity analysis 2&#x2014;excluding participants with &#x2264;2&#x202F;years of follow-up time.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th rowspan="2">Types of dementia</th>
<th align="center" valign="top" colspan="2">Model 1</th>
<th align="center" valign="top" colspan="2">Model 2</th>
<th align="center" valign="top" colspan="2">Model 3</th>
</tr>
<tr>
<th align="center" valign="top">HR [95% CI]</th>
<th align="center" valign="top"><italic>P</italic>-value</th>
<th align="center" valign="top">HR [95% CI]</th>
<th align="center" valign="top"><italic>P</italic>-value</th>
<th align="center" valign="top">HR [95% CI]</th>
<th align="center" valign="top"><italic>P</italic>-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">Alzheimer&#x2019;s disease</td>
<td align="center" valign="middle">1.25(0.97&#x2013;1.62)</td>
<td align="center" valign="middle">0.087</td>
<td align="center" valign="middle">1.27(0.99&#x2013;1.65)</td>
<td align="center" valign="middle">0.065</td>
<td align="center" valign="middle">1.30(1.0&#x2013;1.68)</td>
<td align="center" valign="middle">0.047&#x002A;</td>
</tr>
<tr>
<td align="left" valign="middle">All-cause dementia</td>
<td align="center" valign="middle">1.01(0.83&#x2013;1.23)</td>
<td align="center" valign="middle">0.94</td>
<td align="center" valign="middle">1.02(0.84&#x2013;1.24)</td>
<td align="center" valign="middle">0.83</td>
<td align="center" valign="middle">1.04(0.85&#x2013;1.27)</td>
<td align="center" valign="middle">0.70</td>
</tr>
<tr>
<td align="left" valign="middle">Vascular dementia</td>
<td align="center" valign="middle">0.69(0.42&#x2013;1.12)</td>
<td align="center" valign="middle">0.13</td>
<td align="center" valign="middle">0.67(0.41&#x2013;1.1)</td>
<td align="center" valign="middle">0.12</td>
<td align="center" valign="middle">0.65(0.4&#x2013;1.07)</td>
<td align="center" valign="middle">0.091</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>We obtained the HR and 95%CI using Cox regression.</p>
<p>Model 1 was a crude model without adjustment for covariates.</p>
<p>Model 2 was adjusted for age, sex, ethnicity, BMI, Townsend deprivation index, and standardized PRS for Alzheimer&#x2019;s disease.</p>
<p>Model 3, based on Model 2, was additionally adjusted for education level, alcohol consumption, smoking status, physical activity level, social isolation status, sleeplessness, hypertension, diabetes, stroke, and cancer.</p>
<p>BMI, body mass index; CI, confidence interval; HR, hazard ratio.</p>
<p>&#x002A;<italic>p</italic> &#x003C; 0.05; &#x002A;&#x002A;<italic>p</italic> &#x003C; 0.01.</p>
</table-wrap-foot>
</table-wrap>
<table-wrap position="float" id="tab5">
<label>Table 5</label>
<caption>
<p>Sensitivity analysis 3&#x2014;excluding self-reported CRS cases.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th rowspan="2">Types of dementia</th>
<th align="center" valign="top" colspan="2">Model 1</th>
<th align="center" valign="top" colspan="2">Model 2</th>
<th align="center" valign="top" colspan="2">Model 3</th>
</tr>
<tr>
<th align="center" valign="top">HR [95% CI]</th>
<th align="center" valign="top"><italic>P</italic>-value</th>
<th align="center" valign="top">HR [95% CI]</th>
<th align="center" valign="top"><italic>P</italic>-value</th>
<th align="center" valign="top">HR [95% CI]</th>
<th align="center" valign="top"><italic>P</italic>-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">Alzheimer&#x2019;s disease</td>
<td align="center" valign="middle">1.52 (1.14&#x2013;2.04)</td>
<td align="center" valign="middle">&#x003C;0.01&#x002A;</td>
<td align="center" valign="middle">1.50 (1.12&#x2013;2.01)</td>
<td align="center" valign="middle">&#x003C;0.01&#x002A;</td>
<td align="center" valign="middle">1.51 (1.13&#x2013;2.02)</td>
<td align="center" valign="middle">&#x003C;0.01&#x002A;</td>
</tr>
<tr>
<td align="left" valign="middle">All-cause dementia</td>
<td align="center" valign="middle">1.24 (0.99&#x2013;1.54)</td>
<td align="center" valign="middle">0.061</td>
<td align="center" valign="middle">1.22 (0.98&#x2013;1.52)</td>
<td align="center" valign="middle">0.082</td>
<td align="center" valign="middle">1.21 (0.97&#x2013;1.51)</td>
<td align="center" valign="middle">0.092</td>
</tr>
<tr>
<td align="left" valign="middle">Vascular dementia</td>
<td align="center" valign="middle">0.87 (0.51&#x2013;1.51)</td>
<td align="center" valign="middle">0.63</td>
<td align="center" valign="middle">0.87 (0.50&#x2013;1.5)</td>
<td align="center" valign="middle">0.62</td>
<td align="center" valign="middle">0.87(0.5&#x2013;1.5)</td>
<td align="center" valign="middle">0.61</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>We obtained the HR and 95%CI using Cox regression.</p>
<p>Model 1 was a crude model without adjustment for covariates.</p>
<p>Model 2 was adjusted for age, sex, ethnicity, BMI, Townsend deprivation index, and standardized PRS for Alzheimer&#x2019;s disease.</p>
<p>Model 3, based on Model 2, was additionally adjusted for education level, alcohol consumption, smoking status, physical activity level, social isolation status, sleeplessness, hypertension, diabetes, stroke, and cancer.</p>
<p>BMI, body mass index; CI, confidence interval; HR, hazard ratio.</p>
<p>&#x002A;<italic>p</italic> &#x003C; 0.05; &#x002A;&#x002A;<italic>p</italic> &#x003C; 0.01.</p>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec sec-type="discussion" id="sec18">
<label>4</label>
<title>Discussion</title>
<p>We conducted this cohort study to explore the association between CRS and dementia. The results of the Cox regression model showed that CRS was significantly associated with a higher risk of AD but not associated with the risk of all-cause dementia and VD. In addition, we found that this relationship between CRS and Alzheimer&#x2019;s disease could be mediated by the SII, with a mediation proportion of 0.0042. In the stratified analysis, the male participants, participants with hypertension, former smokers, participants with less than a college education, and participants with a medium PRS-AD were more susceptible to AD. The male participants and participants with hypertension were more susceptible to all-cause dementia. According to our results, CRS might be a risk factor for dementia, and inflammation caused by CRS may mediate the relationship between CRS and AD.</p>
<p>Previous cross-sectional studies (<xref ref-type="bibr" rid="ref21">Jung et al., 2021</xref>; <xref ref-type="bibr" rid="ref6">Chung et al., 2015</xref>) have reported that CRS is positively associated with dementia, which is consistent with our findings. However, our results differ from those of a previous longitudinal study (<xref ref-type="bibr" rid="ref41">Son et al., 2024</xref>), which showed that CRS was not associated with dementia and its subtypes. Compared to this longitudinal study, our cohort was larger, had a longer follow-up period of up to 12&#x202F;years, and included a broader age range. In addition, the UK Biobank primarily included participants of European ancestry, which differs from the Korean participants of Asian ancestry in terms of genetic background and body composition. In summary, compared to previous studies, our study involved a larger population, a longer follow-up period, and the use of mediation analysis to investigate the association between CRS and dementia.</p>
<p>The association between CRS and dementia differed in the sex subgroup analysis. Apart from the ICD-10 classification criteria, CRS can be divided into three main types: CRS with nasal polyps, CRS without nasal polyps, and allergic fungal rhinosinusitis. Among these three types, CRS with nasal polyps is considered the most severe and is more difficult to treat or control due to the high likelihood of polyp recurrence (<xref ref-type="bibr" rid="ref32">Mullol et al., 2022</xref>). In addition, a study reported that CRS with nasal polyps has a higher prevalence in male individuals (<xref ref-type="bibr" rid="ref35">Ramkumar et al., 2023</xref>). Overall, due to the recurrence of nasal polyps, the difficulty in treating CRS with nasal polyps, and its higher prevalence in male individuals, the association between CRS and dementia may be more easily observed in male individuals. Participants with lower education levels may be associated with lower socioeconomic status (<xref ref-type="bibr" rid="ref23">Lai et al., 2023</xref>) or may have limited time for treatment, which may make them more prone to developing dementia.</p>
<p>Although the etiology of CRS and dementia is not yet fully understood, several hypotheses regarding the mechanisms of dementia have been proposed, such as the hyperphosphorylated tau protein and amyloid-&#x03B2; hypothesis (<xref ref-type="bibr" rid="ref1">Ashrafian et al., 2021</xref>; <xref ref-type="bibr" rid="ref52">Zhang et al., 2021</xref>), the oxidative stress hypothesis (<xref ref-type="bibr" rid="ref2">Bai et al., 2022</xref>), and the inflammation hypothesis (<xref ref-type="bibr" rid="ref14">Guerrero et al., 2021</xref>; <xref ref-type="bibr" rid="ref19">Irwin and Vitiello, 2019</xref>). The CRS may increase the risk of Alzheimer&#x2019;s disease through chronic inflammation. The blood&#x2013;brain barrier could be disrupted in the progression of neurodegenerative diseases, which might make the brain susceptible to inflammation status (<xref ref-type="bibr" rid="ref42">Sweeney et al., 2018</xref>). The sinuses are close to the brain in physical distance, and there are several kinds of opportunistic pathogens in the sinuses, which can potentially cause neuroinflammation and aggregate CRS when the body&#x2019;s conditions allow (<xref ref-type="bibr" rid="ref24">Lal et al., 2017</xref>). Neuroinflammation could affect different kinds of microglia and ultimately facilitate the progression of Alzheimer&#x2019;s disease (<xref ref-type="bibr" rid="ref22">Kwon and Koh, 2020</xref>; <xref ref-type="bibr" rid="ref25">Leng and Edison, 2021</xref>). In addition, neutrophils may play a significant role and proliferate during CRS (<xref ref-type="bibr" rid="ref9">Delemarre et al., 2021</xref>). Neutrophils could produce platelet-activating factors to aggregate and increase the level of platelets (<xref ref-type="bibr" rid="ref13">Gill et al., 2015</xref>), which could increase the level of the SII. However, according to a review in 2023 (<xref ref-type="bibr" rid="ref50">Xie et al., 2023</xref>), inflammation caused by CRS can be divided into three types, all characterized by abnormal levels of special cell cytokines. As an important type of white blood cell with the largest quantity, neutrophils may cause a cascade effect of inflammation, leading to a significant increase in cell cytokines (<xref ref-type="bibr" rid="ref31">Megha et al., 2021</xref>). Therefore, the SII may not be the main path from CRS to dementia, and cell cytokines may play a key role, which means that the effect of cell cytokines should be explored carefully in future studies.</p>
<p>Apart from inflammation, other symptoms caused by CRS, such as loss of smell and infections, have also been associated with dementia. A cohort study showed that olfactory dysfunction may be a risk factor for amnestic mild cognitive impairment and AD (<xref ref-type="bibr" rid="ref38">Roberts et al., 2016</xref>). According to previous studies, inflammation caused by CRS with nasal polyposis could contribute to olfactory dysfunction and cause the volume of the olfactory bulb to decrease (<xref ref-type="bibr" rid="ref17">Huang et al., 2024</xref>; <xref ref-type="bibr" rid="ref39">Shehata et al., 2018</xref>). On the other hand, CRS could cause upper respiratory infections (<xref ref-type="bibr" rid="ref46">Volpe et al., 2023</xref>), which may, in turn, induce the appearance of inflammation and ultimately contribute to olfactory dysfunction (<xref ref-type="bibr" rid="ref39">Shehata et al., 2018</xref>). In the brain, the entorhinal cortex is close to the olfactory system and plays a significant role in attention, conditioning, event processing, and spatial cognition (<xref ref-type="bibr" rid="ref7">Coutureau and Di Scala, 2009</xref>), etc. In the preclinical stage of AD, specific dysfunction of the entorhinal cortex can be observed (<xref ref-type="bibr" rid="ref18">Igarashi, 2023</xref>). This impairment might lead to hyperactivation of adjacent brain areas (such as the hippocampus and olfactory bulb), potentially resulting in hippocampus and olfactory bulb degeneration (<xref ref-type="bibr" rid="ref8">Dan et al., 2021</xref>). In addition, reduced oxygen uptake due to nasal congestion caused by CRS may contribute to dementia (<xref ref-type="bibr" rid="ref26">Li et al., 2018</xref>; <xref ref-type="bibr" rid="ref27">Liu et al., 2023</xref>).</p>
<p>Overall, the underlying mechanism of this relationship needs further exploration. From a public health perspective, understanding this relationship could help control dementia better. From a clinical perspective, understanding this relationship could help prevent AD by reducing or eliminating inflammation status caused by CRS. In life, people should take CRS seriously and seek active treatment as soon as they are diagnosed. According to the mediation analysis results, inflammation status only accounts for a small portion of the risk from CRS to AD. Therefore, exploring the underlying relationship between CRS and dementia and identifying other mediation factors through clinical approaches is important for treating patients with CRS. In addition, investigating the relationship between CRS and dementia can help us more comprehensively understand the risks associated with CRS and motivate healthcare workers to find better ways to treat patients with CRS.</p>
<p>Our study has several strengths. First, it was a prospective study, which provided a fixed sequence of time from exposure to outcome. Therefore, it could offer more reliable evidence compared to cross-sectional studies. Second, compared to previous studies, we conducted a cohort study with a longer follow-up period and a larger population, and we performed three sensitivity analyses to evaluate the robustness of our results. Third, we were the first to investigate the effect of inflammation status caused by CRS on the development of dementia through mediation analysis, which provided evidence for the role of inflammation in the process of dementia. Fourth, we initially investigated the mediation role of the inflammation index in the association between CRS and AD, providing new insights into the underlying mechanisms of CRS.</p>
<p>However, our study also has some limitations. First, the majority of participants in the UKB were White people of European ancestry, which may limit the generalizability of our results. Second, the inflammation mediation analysis was limited to blood cell counts and derived ratios, without including subsets of inflammatory cells or cytokines produced by inflammatory cells. Third, reverse causation cannot be completely ruled out because cohort studies cannot avoid reverse causation. Fourth, due to information unavailability, we could not classify CRS into CRS with nasal polyps and CRS without nasal polyps. Since different types of CRS might have different effects on AD, we could only explore the overall effect of CRS on AD, and this might increase the gap between data research and clinical applications. Fifth, because we excluded more than 1,30,000 participants, the statistical power may be decreased and the interpretation of the results requires caution. Sixth, the mediation proportion was very small, suggesting that its actual impact may be limited. Therefore, the mechanism linking CRS and dementia requires further investigation. Finally, although our analysis was adjusted for several confounding factors, there were still some potential confounders that we could not take into consideration, such as the use of anti-inflammatory medications.</p>
</sec>
<sec sec-type="conclusions" id="sec19">
<label>5</label>
<title>Conclusion</title>
<p>CRS may be associated with a higher risk of AD, and the association is mediated, in a very small part, by the SII. Our findings may provide some clues for research into the cause of AD.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="sec20">
<title>Data availability statement</title>
<p>The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/<xref ref-type="supplementary-material" rid="SM1">Supplementary material</xref>.</p>
</sec>
<sec sec-type="ethics-statement" id="sec21">
<title>Ethics statement</title>
<p>The studies involving humans were approved by North West Multi-Centre Research Ethics Committee (REC reference: 21/NW/0157). The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study. Written informed consent was obtained from the individual(s) for the publication of any potentially identifiable images or data included in this article.</p>
</sec>
<sec sec-type="author-contributions" id="sec22">
<title>Author contributions</title>
<p>XZ: Software, Conceptualization, Writing &#x2013; original draft, Formal analysis, Data curation, Methodology. ZY: Validation, Writing &#x2013; review &#x0026; editing, Methodology. JL: Writing &#x2013; review &#x0026; editing, Visualization, Formal analysis. RY: Methodology, Writing &#x2013; review &#x0026; editing, Visualization. WW: Visualization, Methodology, Writing &#x2013; review &#x0026; editing. DZ: Visualization, Writing &#x2013; review &#x0026; editing, Methodology, Supervision.</p>
</sec>
<sec sec-type="funding-information" id="sec23">
<title>Funding</title>
<p>The author(s) declare that no financial support was received for the research and/or publication of this article.</p>
</sec>
<ack>
<p>We thank all the staff at the UKB.</p>
</ack>
<sec sec-type="COI-statement" id="sec24">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="ai-statement" id="sec25">
<title>Generative AI statement</title>
<p>The authors declare that no Gen AI was used in the creation of this manuscript.</p>
<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="sec26">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec sec-type="supplementary-material" id="sec27">
<title>Supplementary material</title>
<p>The Supplementary material for this article can be found online at: <ext-link xlink:href="https://www.frontiersin.org/articles/10.3389/fnagi.2025.1609790/full#supplementary-material" ext-link-type="uri">https://www.frontiersin.org/articles/10.3389/fnagi.2025.1609790/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Table_1.DOCX" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
<fn-group>
<title>Abbreviations</title>
<fn fn-type="abbr">
<p>WHO, World Health Organization; AD, Alzheimer&#x2019;s disease; VD, Vascular dementia; NCD, Non-communicable chronic disease; CRS, Chronic rhinosinusitis; UKB, United Kingdom biobank; ICD-10, International Statistical Classification of Diseases and Related Health Problems 10th Revision; ICD-09, International Classification of Diseases, Ninth Revision; SII, Systemic immune-inflammation index; NLR, Neutrophil-to-lymphocyte ratio; PLR, Platelet-to-lymphocyte ratio; PRS-AD, Polygenic risk score for Alzheimer&#x2019;s disease; SD, Standard deviation; IQR, Interquartile range; OR, Odds ratio; HR, Hazard ratio; CI, Confidence interval; BMI, Body mass index; TDI, Townsend deprivation index.</p>
</fn>
</fn-group>
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