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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Med.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Medicine</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Med.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2296-858X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fmed.2026.1752515</article-id>
<article-version article-version-type="Version of Record" vocab="NISO-RP-8-2008"/>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Research</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Analysis of factors influencing retinal thickness in chronic obstructive pulmonary disease and hypertension: a cross-sectional study in a community-dwelling middle-aged and elderly population</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Yu</surname>
<given-names>Donghui</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/2203463"/>
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<contrib contrib-type="author">
<name>
<surname>Hu</surname>
<given-names>Chengyu</given-names>
</name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
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<contrib contrib-type="author">
<name>
<surname>Ren</surname>
<given-names>Chengda</given-names>
</name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
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<contrib contrib-type="author">
<name>
<surname>Zhu</surname>
<given-names>Meijiang</given-names>
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<contrib contrib-type="author">
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<surname>Lin</surname>
<given-names>Ruoyi</given-names>
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<given-names>Yan</given-names>
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<contrib contrib-type="author">
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<surname>Wan</surname>
<given-names>Zhongqi</given-names>
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<surname>Shen</surname>
<given-names>Tianyi</given-names>
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<surname>Li</surname>
<given-names>Tingting</given-names>
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<surname>Yu</surname>
<given-names>Jing</given-names>
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<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
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<aff id="aff1"><label>1</label><institution>Department of Ophthalmology, Shanghai Pudong Hospital, Fudan University Pudong Medical Center</institution>, <city>Shanghai</city>, <country country="cn">China</country></aff>
<aff id="aff2"><label>2</label><institution>Shanghai General Hospital, National Clinical Research Center for Eye Diseases, Shanghai Clinical Research Center for Eye Diseases, Shanghai Key Clinical Specialty, Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai Engineering Center for Precise Diagnosis and Treatment of Eye Diseases</institution>, <city>Shanghai</city>, <country country="cn">China</country></aff>
<aff id="aff3"><label>3</label><institution>Department of Ophthalmology, West China Hospital, Sichuan University</institution>, <city>Chengdu</city>, <state>Sichuan</state>, <country country="cn">China</country></aff>
<aff id="aff4"><label>4</label><institution>Department of Ophthalmology, Changhai Hospital, Naval Medical University</institution>, <city>Shanghai</city>, <country country="cn">China</country></aff>
<aff id="aff5"><label>5</label><institution>Department of Ophthalmology, Shanghai Tenth People&#x2019;s Hospital, School of Medicine, Tongji University</institution>, <city>Shanghai</city>, <country country="cn">China</country></aff>
<aff id="aff6"><label>6</label><institution>Department of Ophthalmology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University</institution>, <city>Shanghai</city>, <country country="cn">China</country></aff>
<aff id="aff7"><label>7</label><institution>Department of Ophthalmology, East Hospital, Tongji University School of Medicine</institution>, <city>Shanghai</city>, <country country="cn">China</country></aff>
<author-notes>
<corresp id="c001"><label>&#x002A;</label>Correspondence: Jing Yu, <email xlink:href="mailto:dryujing@fudan.edu.cn">dryujing@fudan.edu.cn</email></corresp>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-03-03">
<day>03</day>
<month>03</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2026</year>
</pub-date>
<volume>13</volume>
<elocation-id>1752515</elocation-id>
<history>
<date date-type="received">
<day>23</day>
<month>11</month>
<year>2025</year>
</date>
<date date-type="rev-recd">
<day>22</day>
<month>12</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>06</day>
<month>01</month>
<year>2026</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2026 Yu, Hu, Ren, Zhu, Lin, Wu, Wan, Shen, Li, Cai and Yu.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Yu, Hu, Ren, Zhu, Lin, Wu, Wan, Shen, Li, Cai and Yu</copyright-holder>
<license>
<ali:license_ref start_date="2026-03-03">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. 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.</license-p>
</license>
</permissions>
<abstract>
<sec>
<title>Background</title>
<p>Chronic obstructive pulmonary disease (COPD) and Hypertension are modifiable risk factors for premature mortality globally, with well-documented associations with retinal microvascular damage. Macular retinal thickness serves as a core quantitative indicator of macular structural integrity and ocular disease progression. However, existing studies primarily focus on retinal nerve layers in clinical populations, lacking investigations into full retinal thickness (RT) across all macular orientations in community-dwelling middle-aged and elderly individuals. This cross-sectional study aimed to measure RT in all macular regions using optical coherence tomography and identify hypertension as a key risk factor for retinal thickness abnormalities.</p>
</sec>
<sec>
<title>Methods</title>
<p>Participants aged &#x2265;40&#x202F;years were recruited from community physical examinations between January and December 2020. After excluding ineligible participants, 1,522 participants (2,977 eyes) were included. Demographic data, lifestyle factors, comorbidities, and ocular indicators (blood pressure and RT via iVue OCT using the ETDRS grid) were collected. Statistical analyses included-independent samples t-test, chi-square test, linear regression, and logistics regression (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05 for significance).</p>
</sec>
<sec>
<title>Results</title>
<p>The mean age of participants was 70.04&#x202F;&#x00B1;&#x202F;5.740&#x202F;years (55.0% female), with 49.8% diagnosed with hypertension and 8.2% diagnosed with COPD. Age was associated with retinal thickness thinning in all regions except the central area (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05). Stratification by hypertension status revealed no association between COPD and retinal thickness across any regions in the hypertensive subgroup, whereas in the non-hypertensive subgroup, COPD was significantly linked to thinning in the central, inner nasal, inferior outer, and outer nasal regions (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05). History of hypertension was a risk factor for thinning in the temporal inner and superior outer regions (OR&#x202F;=&#x202F;1.249, 95%CI:1.030&#x2013;1.514; OR&#x202F;=&#x202F;1.325, 95%CI:1.092&#x2013;1.608). Diastolic blood pressure was positively correlated with inner retinal thickness (<italic>&#x03B2;</italic>&#x202F;=&#x202F;0.186&#x2013;0.202, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.01), while systolic blood pressure had no significant effect. In hypertensive participants on medication, DBP&#x2019;s positive correlation was limited to the superior inner region.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>COPD and hypertension are independent risk factors for changes in retinal thickness, with heterogeneous effects across different retinal regions. DBP, but not SBP, independently correlates with inner retinal thickness, and antihypertensive therapy mitigates this effect to specific regions. These findings provide new insights for community ocular screening and retinal protection in hypertensive patients.</p>
</sec>
</abstract>
<kwd-group>
<kwd>chronic obstructive pulmonary disease</kwd>
<kwd>community population</kwd>
<kwd>diastolic blood pressure</kwd>
<kwd>hypertension</kwd>
<kwd>optical coherence tomography</kwd>
<kwd>retinal thickness</kwd>
<kwd>systolic blood pressure</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declared that financial support was received for this work and/or its publication. This work was supported by the research from National Clinical Key Specialty Construction Project (grant no. 10000015Z155080000004), Fundamental Research Funds for the Central Universities (grant no. YG2025QNA41), Pudong New Area Science and Technology Development Fund (grant no. PKJ2025-Y47), Pudong New Area Science and Education-driven Medical Development Cultivation Project (grant no. PWXx2025-01), Integrated Traditional Chinese and Western Medicine Guidance Project in General Hospitals (grant no. ZHYYZXYYD-202513).</funding-statement>
</funding-group>
<counts>
<fig-count count="4"/>
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<equation-count count="0"/>
<ref-count count="50"/>
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<word-count count="9728"/>
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<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Pulmonary Medicine</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec1">
<label>1</label>
<title>Introduction</title>
<p>Chronic obstructive pulmonary disease (COPD) is a slowly progressive chronic respiratory disorder, recognized as a leading global cause of mortality, with a prevalence of 10.3% among individuals aged 30&#x2013;79&#x202F;years worldwide (<xref ref-type="bibr" rid="ref1">1</xref>), and contributing to 74.4&#x202F;million disability-adjusted life years lost and 3.3&#x202F;million deaths (<xref ref-type="bibr" rid="ref2">2</xref>). COPD impacts ocular fundus structures via mechanisms including chronic hypoxia, systemic inflammation, and vascular dysfunction, resulting in alterations to retinal layer thickness. These changes are typically assessed using imaging modalities such as optical coherence tomography (OCT) (<xref ref-type="bibr" rid="ref3">3</xref>).</p>
<p>Hypertension is globally recognized as the leading modifiable risk factor for premature mortality (<xref ref-type="bibr" rid="ref4">4</xref>). Beyond its well-established role in cardiovascular, renal, and cerebrovascular diseases, hypertension induces retinal microvascular damage characterized by impaired vasomotor regulation and increased wall-to-lumen ratio (<xref ref-type="bibr" rid="ref5">5</xref>). These alterations manifest as significant changes in multiple retinal nerve fiber layers in hypertensive patients compared with normotensive controls, ultimately affecting total retinal thickness (<xref ref-type="bibr" rid="ref6">6</xref>).</p>
<p>Retinal thickness (RT) reflects the structural integrity, functional status, and pathological changes of the macular region, and serves as a core quantitative indicator for the progression of various ocular diseases. Central macular thickness (CMT) directly affects the density and function of cone cells, with a thickness of approximately 300&#x202F;&#x03BC;m in this area (<xref ref-type="bibr" rid="ref7">7</xref>, <xref ref-type="bibr" rid="ref8">8</xref>). CMT is not an isolated indicator; it can integratively reflect the effects of multiple influencing factors, and any abnormality in it may lead to decreased central visual acuity. Increased CMT thickness is often associated with local inflammation, vascular leakage, and fluid accumulation, and serves as an early marker for the active phase of vision-threatening diseases (<xref ref-type="bibr" rid="ref9 ref10 ref11">9&#x2013;11</xref>) such as diabetic retinopathy, retinal vein occlusion, and uveitis. In contrast, decreased thickness is often associated with high myopia and neurodegenerative diseases, such as optic neuropathy, late-stage dry age-related macular degeneration (AMD) (geographic atrophy), as well as some hereditary retinal diseases. CMT, measured by OCT, is an important parameter for diagnosing different types of retinal diseases (<xref ref-type="bibr" rid="ref12 ref13 ref14">12&#x2013;14</xref>).</p>
<p>The standardized segmentation of the fovea centralis of the macula and its surrounding areas is an important foundation for research on retinal structure and function. This segmentation was first mentioned in the 1985 Early Treatment Diabetic Retinopathy Study (ETDRS) (<xref ref-type="bibr" rid="ref15">15</xref>) and is referred to as the ETDRS grid. It is divided into three concentric rings based on diameters of 1&#x202F;mm, 3&#x202F;mm, and 6&#x202F;mm, and is further subdivided into four quadrants: superior, inferior, temporal, and nasal (<xref ref-type="bibr" rid="ref16">16</xref>). The 1-mm foveal centralis region of the macula is a circular area with the fovea centralis as the center and a diameter of 1&#x202F;mm, corresponding to an approximate range of 5&#x00B0; in the central visual field, and serves as the core region with the sharpest visual acuity. The 3-mm perifoveal region of the macular fovea is a ring-shaped area with the fovea as the center and a radius ranging from 1&#x202F;mm to 3&#x202F;mm. It corresponds to an approximate range of 10&#x00B0; in the central visual field and belongs to the parafovea. The 6-mm perifoveal region of the macular fovea is a ring-shaped area with the fovea as the center and a radius ranging from 3&#x202F;mm to 6&#x202F;mm, and corresponds to a range of 20&#x00B0; in the central visual field. The entire standardized segmentation with a 6-mm diameter fully covers the macular region. The retina in the fovea centralis of the macula and its surrounding superior, inferior, temporal, and nasal regions at different distances exhibits significant differences in structure, cell distribution, vascular supply, and function&#x2014; differences that are closely associated with visual sensitivity and disease susceptibility (<xref ref-type="bibr" rid="ref17">17</xref>). Understanding the influencing factors of retinal thickness in different macular regions provides a theoretical foundation for the risk assessment, staging, and treatment of macular-related diseases, and is of great significance for enhancing diagnostic and therapeutic efficiency and improving visual prognosis.</p>
<p>The thickness of different retinal nerve layers and the choroid in the population changes with increasing age and is influenced by multiple factors such as gender, lifestyle, disease status, and ocular factors (<xref ref-type="bibr" rid="ref18">18</xref>, <xref ref-type="bibr" rid="ref19">19</xref>). However, existing studies mostly focus on different retinal nerve layers based on clinic-based patient studies (<xref ref-type="bibr" rid="ref20">20</xref>, <xref ref-type="bibr" rid="ref21">21</xref>), and lack investigations on the full-thickness retinal thickness in all orientations of CMT among community-dwelling middle-aged and elderly populations.</p>
<p>This study is a cross-sectional study on community-dwelling middle-aged and elderly populations, accurately measuring retinal thickness in all orientations via OCT, while simultaneously collecting demographic data, lifestyle factors, comorbidities, and ocular indicators. It aims to establish age-specific reference ranges for retinal thickness in this population, to determine whether hypertension is a key risk factor for abnormal retinal thickness and to explore the impact of blood pressure control on RT. This study not only fills gaps in community-based research and provides appropriate assessment benchmarks for clinical practice, but also supports the development of ocular health screening strategies for community-dwelling middle-aged and elderly individuals and early warning of relevant ocular disease risks, contributing to the improvement of ocular health among middle-aged and elderly populations in the context of healthy aging.</p>
</sec>
<sec sec-type="materials|methods" id="sec2">
<label>2</label>
<title>Materials and methods</title>
<sec id="sec3">
<label>2.1</label>
<title>Study design</title>
<p>We recruited healthy community-based participants from a community in Shanghai &#x2265;40&#x202F;years of age undergoing physical examinations from January 1, 2020, to December 31, 2020. Out of the 1,653 subjects, those who were duplicated in data entry (<italic>n</italic>&#x202F;=&#x202F;32), who lacked the data of COPD (<italic>n</italic>&#x202F;=&#x202F;26), who lacked the data on hypertension (<italic>n</italic>&#x202F;=&#x202F;56) and who with the history of diabetic retinopathy, retinal vein occlusion, hypertensive retinopathy (<italic>n</italic>&#x202F;=&#x202F;17) were excluded. History of diabetic retinopathy, retinal vein occlusion and hypertensive retinopathy required prior diagnoses from hospitals graded II-A or higher. A total of 1,522 participants (2,977 eyes) were included in this study, and informed consent was acquired from each subject. This study adhered to the principles of The Declaration of Helsinki. Shanghai Tenth People&#x2019;s Hospital approved this study (SHDSYY-2024-1902).</p>
</sec>
<sec id="sec4">
<label>2.2</label>
<title>Sample size calculation</title>
<p>According to a case&#x2013;control study on hypertension in China (<xref ref-type="bibr" rid="ref22">22</xref>), the RT of participants with hypertension and healthy participants were 241.2&#x202F;&#x00B1;&#x202F;20.6&#x202F;&#x03BC;m and 250.7&#x202F;&#x00B1;&#x202F;14.17&#x202F;&#x03BC;m, respectively. Under the conditions of <italic>&#x03B1;</italic>&#x202F;=&#x202F;0.05 (two-tailed), power of test 1-<italic>&#x03B2;</italic>&#x202F;=&#x202F;90% (<italic>&#x03B2;</italic>&#x202F;=&#x202F;0.1), design effect&#x202F;=&#x202F;1.5, and a non-response rate of 10%, the total sample size estimated using the formula <inline-formula>
<mml:math id="M1">
<mml:mi>n</mml:mi>
<mml:mo>=</mml:mo>
<mml:mn>2</mml:mn>
<mml:mo>&#x00D7;</mml:mo>
<mml:mfrac>
<mml:mrow>
<mml:msup>
<mml:mrow>
<mml:mo stretchy="true">(</mml:mo>
<mml:msub>
<mml:mi>Z</mml:mi>
<mml:mrow>
<mml:mi>&#x03B1;</mml:mi>
<mml:mo>/</mml:mo>
<mml:mn>2</mml:mn>
</mml:mrow>
</mml:msub>
<mml:mo>+</mml:mo>
<mml:msub>
<mml:mi>Z</mml:mi>
<mml:mi>&#x03B2;</mml:mi>
</mml:msub>
<mml:mo stretchy="true">)</mml:mo>
</mml:mrow>
<mml:mn>2</mml:mn>
</mml:msup>
<mml:mo>&#x00D7;</mml:mo>
<mml:msup>
<mml:mi>&#x03C3;</mml:mi>
<mml:mn>2</mml:mn>
</mml:msup>
</mml:mrow>
<mml:msup>
<mml:mi>&#x03B4;</mml:mi>
<mml:mn>2</mml:mn>
</mml:msup>
</mml:mfrac>
</mml:math>
</inline-formula> was 246 participants. The sample size in the present study met the requirements of the study design.</p>
</sec>
<sec id="sec5">
<label>2.3</label>
<title>Clinical measurement</title>
<p>Gender, age, alcohol consumption status, history of COPD, history of coronary heart disease, history of hypertension, history of diabetes mellitus, history of hyperlipidemia, 30-min moderate-intensity exercise, weekly intake of fruits and vegetables, salty taste preference, and regular consumption of pickled food were included in this study. Inclusion of medical history of hypertension, coronary heart disease, diabetes mellitus, and COPD required prior diagnoses from hospitals graded II-A or higher. Daily blood pressure, including Diastolic blood pressure (DBP) and systolic blood pressure (SBP), was measured using a mercury sphygmomanometer. Before measurement, participants were asked whether they had consumed coffee, strong tea, or other similar beverages on the day of measurement, as well as whether they had eaten, consumed alcohol, exercised, or smoked prior to the test. If any of the aforementioned conditions applied, measurements were taken after the participants had rested for more than 30&#x202F;min; in the absence of these conditions, measurements were taken after the participants had rested for more than 5&#x202F;min.</p>
<p>Gender, age, alcohol consumption status history of coronary heart disease, history of diabetes mellitus, history of hyperlipidemia, 30-min moderate-intensity exercise, weekly intake of fruits and vegetables, salty taste preference, and regular consumption of pickled food were included as covariate.</p>
<p>OCT imaging was performed by experienced examiners using iVue OCT device (Optovue, United States). CMT was measured with a 6&#x202F;&#x00D7;&#x202F;6&#x202F;mm combined scanning pattern centered on the macula. For average macular thickness analysis, the average thickness across all regions was used as the key parameter (<xref ref-type="fig" rid="fig1">Figure 1</xref>). Thickness values were also obtained for the central subfield (1&#x202F;mm) and the parafoveal (1-3&#x202F;mm)/ perifoveal (3-6&#x202F;mm) sectors of the four quadrants (superior, nasal, inferior, and temporal) (<xref ref-type="fig" rid="fig1">Figure 1</xref>). For inclusion in the study, OCT images were required to meet the following criteria: acquired by experienced examiners for each participant, and free of artifacts, misalignment, or segmentation errors. RT was assessed by the iVue OCT system: measuring the distance between the inner border of the retinal pigment epithelium (RPE) and the inner limiting membrane (ILM). The device was equipped with a built-in Normative Database, which contained RT data from 500 healthy adults with balanced demographic features (covering diverse ethnicities, genders, and age groups). This database served to calculate the 95% confidence intervals (CI). Clinically, values exceeding the upper limit of the 95% CI were defined as retinal thickening, whereas those below the lower limit of the 95% CI were defined as retinal thinning (<xref ref-type="bibr" rid="ref23">23</xref>). Prior to blood pressure measurement, participants were asked to take 10&#x202F;min of quiet rest; subsequently, their blood pressure was measured twice using a mercury sphygmomanometer, and the average value was calculated to assess their daily blood pressure control status.</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>Schematic diagram of ETDRS grid. The macular fovea is divided into three concentric zones: a central zone (1&#x202F;mm radius), an inner ring (3&#x202F;mm radius), and an outer ring (6&#x202F;mm radius).</p>
</caption>
<graphic xlink:href="fmed-13-1752515-g001.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Composite medical image showing a retinal fundus photograph on the left, displaying the optic disc and macula with concentric circles marked for measurement. To the right is an optical coherence tomography (OCT) scan with cross-sectional views of the retina in grayscale, showing retinal layers. Below the OCT image, there are multiple small, labeled cross-section images with a central diagram indicating retinal thickness values in different segments with a color-coded scale.</alt-text>
</graphic>
</fig>
</sec>
<sec id="sec6">
<label>2.4</label>
<title>Data processing and statistical analysis</title>
<p>EpiData software (v.3.1) was utilized for data entry. SPSS software (v.30.0, SPSS Inc., United States) was utilized for statistical analysis. Data were visualized via GraphPad Prism (v.10.0, GraphPad Software Inc., United States). Independent samples t-test, chi-square test, linear regression model, and logistics regression model were used to analyze the effects of participants&#x2019; lifestyle and disease status on CMT in all orientations. <italic>p</italic>-value &#x003C; 0.05 was considered statistically significant.</p>
</sec>
</sec>
<sec sec-type="results" id="sec7">
<label>3</label>
<title>Results</title>
<sec id="sec8">
<label>3.1</label>
<title>General information</title>
<p>Among 1,522 participants, the mean age was 70.04&#x202F;&#x00B1;&#x202F;5.740&#x202F;years; 49.8% participants were aged 60&#x2013;69&#x202F;years, and there were 867 females (55.0%). There were few participants with history of COPD (8.2%), drinking (14.1%), hypertension (49.2%), coronary heart disease (14.5%), diabetes (25.3%), hyperlipidemia (24.4%), ocular surgery (10.7%), and cataract (43.6%). Regarding lifestyle habits, 45.9% of participants engaged in moderate-intensity exercise for more than 30&#x202F;min over 7 times per week, while 32.9% consumed 1&#x2013;1.5&#x202F;kg of fruits and vegetables per week. Only 15.4% of participants perceived their taste as salty, and 15.9% regularly consumed pickled foods. Variables such as history of hypertension were associated with COPD. (<xref ref-type="table" rid="tab1">Table 1</xref>).</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>Characteristics, retinal thickness and blood pressure of the study population (1,522 participants, 2,977 eyes).</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th rowspan="2">Characteristics</th>
<th align="center" valign="top" colspan="2">History of COPD</th>
<th align="center" valign="top" colspan="2">Participants (<italic>n</italic> =&#x202F;1,522)</th>
<th align="center" valign="top" rowspan="2"><italic>p</italic></th>
</tr>
<tr>
<th align="center" valign="top">No</th>
<th align="center" valign="top">Yes</th>
<th align="center" valign="top"><italic>n</italic></th>
<th align="center" valign="top">%</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Age (years)</td>
<td align="center" valign="top">69.30&#x202F;&#x00B1;&#x202F;5.721</td>
<td align="center" valign="top">71.81&#x202F;&#x00B1;&#x202F;5.700</td>
<td align="center" valign="top" colspan="2">70.04&#x202F;&#x00B1;&#x202F;5.740<sup>#</sup></td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">&#x2003;&#x003C;60</td>
<td align="center" valign="middle">41</td>
<td align="center" valign="middle">1</td>
<td align="center" valign="top">42</td>
<td align="center" valign="top">2.8</td>
<td align="center" valign="top" rowspan="4">0.005&#x002A;</td>
</tr>
<tr>
<td align="left" valign="top">&#x2003;60&#x2013;69</td>
<td align="center" valign="middle">713</td>
<td align="center" valign="middle">40</td>
<td align="center" valign="top">753</td>
<td align="center" valign="top">49.5</td>
</tr>
<tr>
<td align="left" valign="top">&#x2003;70&#x2013;79</td>
<td align="center" valign="middle">560</td>
<td align="center" valign="middle">60</td>
<td align="center" valign="top">620</td>
<td align="center" valign="top">40.7</td>
</tr>
<tr>
<td align="left" valign="top">&#x2003;&#x2265;80</td>
<td align="center" valign="middle">93</td>
<td align="center" valign="middle">14</td>
<td align="center" valign="top">107</td>
<td align="center" valign="top">7.0</td>
</tr>
<tr>
<td align="left" valign="top" colspan="6">Sex</td>
</tr>
<tr>
<td align="left" valign="top">&#x2003;Male</td>
<td align="center" valign="middle">633</td>
<td align="center" valign="middle">47</td>
<td align="center" valign="top">680</td>
<td align="center" valign="top">44.7</td>
<td align="center" valign="top" rowspan="2">0.393</td>
</tr>
<tr>
<td align="left" valign="top">&#x2003;Female</td>
<td align="center" valign="middle">774</td>
<td align="center" valign="middle">68</td>
<td align="center" valign="top">842</td>
<td align="center" valign="top">55.3</td>
</tr>
<tr>
<td align="left" valign="top" colspan="6">Drinking history</td>
</tr>
<tr>
<td align="left" valign="top">&#x2003;No</td>
<td align="center" valign="middle">1,206</td>
<td align="center" valign="middle">103</td>
<td align="center" valign="top">1,309</td>
<td align="center" valign="top">86.0</td>
<td align="center" valign="top" rowspan="2">0.252</td>
</tr>
<tr>
<td align="left" valign="top">&#x2003;Yes</td>
<td align="center" valign="middle">201</td>
<td align="center" valign="middle">12</td>
<td align="center" valign="top">213</td>
<td align="center" valign="top">14.0</td>
</tr>
<tr>
<td align="left" valign="top" colspan="6">History of hypertension</td>
</tr>
<tr>
<td align="left" valign="top">&#x2003;No</td>
<td align="center" valign="middle">727</td>
<td align="center" valign="middle">37</td>
<td align="center" valign="top">764</td>
<td align="center" valign="top">50.2</td>
<td align="center" valign="top" rowspan="2">&#x003C;0.001&#x002A;</td>
</tr>
<tr>
<td align="left" valign="top">&#x2003;Yes</td>
<td align="center" valign="middle">680</td>
<td align="center" valign="middle">78</td>
<td align="center" valign="top">758</td>
<td align="center" valign="top">49.8</td>
</tr>
<tr>
<td align="left" valign="top" colspan="6">History of hypertensive participants taking antihypertensive drugs (<italic>n</italic>&#x202F;=&#x202F;758)</td>
</tr>
<tr>
<td align="left" valign="top">&#x2003;No</td>
<td align="center" valign="middle">49</td>
<td align="center" valign="middle">5</td>
<td align="center" valign="top">54</td>
<td align="center" valign="top">7.1</td>
<td align="center" valign="top" rowspan="2">0.796</td>
</tr>
<tr>
<td align="left" valign="top">&#x2003;Yes</td>
<td align="center" valign="middle">631</td>
<td align="center" valign="middle">73</td>
<td align="center" valign="top">704</td>
<td align="center" valign="top">92.5</td>
</tr>
<tr>
<td align="left" valign="top" colspan="6">History of coronary heart disease</td>
</tr>
<tr>
<td align="left" valign="top">&#x2003;No</td>
<td align="center" valign="middle">1,253</td>
<td align="center" valign="middle">45</td>
<td align="center" valign="top">1,298</td>
<td align="center" valign="top">85.3</td>
<td align="center" valign="top" rowspan="2">&#x003C;0.001&#x002A;</td>
</tr>
<tr>
<td align="left" valign="top">&#x2003;Yes</td>
<td align="center" valign="middle">154</td>
<td align="center" valign="middle">70</td>
<td align="center" valign="top">224</td>
<td align="center" valign="top">14.7</td>
</tr>
<tr>
<td align="left" valign="top" colspan="6">History of diabetes</td>
</tr>
<tr>
<td align="left" valign="top">&#x2003;No</td>
<td align="center" valign="middle">1,063</td>
<td align="center" valign="middle">68</td>
<td align="center" valign="top">1,131</td>
<td align="center" valign="top">74.3</td>
<td align="center" valign="top" rowspan="2">&#x003C;0.001&#x002A;</td>
</tr>
<tr>
<td align="left" valign="top">&#x2003;Yes</td>
<td align="center" valign="middle">344</td>
<td align="center" valign="middle">47</td>
<td align="center" valign="top">391</td>
<td align="center" valign="top">25.7</td>
</tr>
<tr>
<td align="left" valign="top" colspan="6">History of hyperlipidemia</td>
</tr>
<tr>
<td align="left" valign="top">&#x2003;No</td>
<td align="center" valign="middle">1,087</td>
<td align="center" valign="middle">60</td>
<td align="center" valign="top">1,147</td>
<td align="center" valign="top">75.4</td>
<td align="center" valign="top" rowspan="2">&#x003C;0.001&#x002A;</td>
</tr>
<tr>
<td align="left" valign="top">&#x2003;Yes</td>
<td align="center" valign="middle">320</td>
<td align="center" valign="middle">55</td>
<td align="center" valign="top">375</td>
<td align="center" valign="top">24.6</td>
</tr>
<tr>
<td align="left" valign="top" colspan="6">Moderate-intensity exercise over 30&#x202F;min (times/week)</td>
</tr>
<tr>
<td align="left" valign="top">&#x2003;0</td>
<td align="center" valign="middle">227</td>
<td align="center" valign="middle">28</td>
<td align="center" valign="top">255</td>
<td align="center" valign="top">16.8</td>
<td align="center" valign="top" rowspan="5">0.017</td>
</tr>
<tr>
<td align="left" valign="top">&#x2003;1&#x2013;2</td>
<td align="center" valign="middle">314</td>
<td align="center" valign="middle">34</td>
<td align="center" valign="top">348</td>
<td align="center" valign="top">22.9</td>
</tr>
<tr>
<td align="left" valign="top">&#x2003;3&#x2013;4</td>
<td align="center" valign="middle">118</td>
<td align="center" valign="middle">10</td>
<td align="center" valign="top">128</td>
<td align="center" valign="top">8.4</td>
</tr>
<tr>
<td align="left" valign="top">&#x2003;5&#x2013;6</td>
<td align="center" valign="middle">91</td>
<td align="center" valign="middle">4</td>
<td align="center" valign="top">95</td>
<td align="center" valign="top">6.2</td>
</tr>
<tr>
<td align="left" valign="top">&#x2003;&#x2265;7</td>
<td align="center" valign="middle">657</td>
<td align="center" valign="middle">39</td>
<td align="center" valign="top">696</td>
<td align="center" valign="top">45.7</td>
</tr>
<tr>
<td align="left" valign="top" colspan="6">Weekly intake of fruits and vegetables</td>
</tr>
<tr>
<td align="left" valign="top">&#x2003;Almost not</td>
<td align="center" valign="middle">35</td>
<td align="center" valign="middle">4</td>
<td align="center" valign="top">39</td>
<td align="center" valign="top">2.6</td>
<td align="center" valign="top" rowspan="5">0.940</td>
</tr>
<tr>
<td align="left" valign="top">&#x2003;&#x003C;1&#x202F;kg</td>
<td align="center" valign="middle">346</td>
<td align="center" valign="middle">46</td>
<td align="center" valign="top">392</td>
<td align="center" valign="top">25.8</td>
</tr>
<tr>
<td align="left" valign="top">&#x2003;1&#x2013;1.5&#x202F;kg</td>
<td align="center" valign="middle">474</td>
<td align="center" valign="middle">21</td>
<td align="center" valign="top">495</td>
<td align="center" valign="top">32.5</td>
</tr>
<tr>
<td align="left" valign="top">&#x2003;1.5&#x2013;2&#x202F;kg</td>
<td align="center" valign="middle">212</td>
<td align="center" valign="middle">20</td>
<td align="center" valign="top">232</td>
<td align="center" valign="top">15.2</td>
</tr>
<tr>
<td align="left" valign="top">&#x2003;&#x2265;2&#x202F;kg</td>
<td align="center" valign="middle">340</td>
<td align="center" valign="middle">24</td>
<td align="center" valign="top">364</td>
<td align="center" valign="top">23.9</td>
</tr>
<tr>
<td align="left" valign="top" colspan="6">Salty taste preference</td>
</tr>
<tr>
<td align="left" valign="top">&#x2003;No</td>
<td align="center" valign="middle">1,195</td>
<td align="center" valign="middle">90</td>
<td align="center" valign="top">1,285</td>
<td align="center" valign="top">84.4</td>
<td align="center" valign="top" rowspan="2">0.058</td>
</tr>
<tr>
<td align="left" valign="top">&#x2003;Yes</td>
<td align="center" valign="middle">212</td>
<td align="center" valign="middle">25</td>
<td align="center" valign="top">237</td>
<td align="center" valign="top">15.6</td>
</tr>
<tr>
<td align="left" valign="top" colspan="6">Regular consumption of pickled foods</td>
</tr>
<tr>
<td align="left" valign="top">&#x2003;No</td>
<td align="center" valign="middle">1,183</td>
<td align="center" valign="middle">97</td>
<td align="center" valign="top">1,280</td>
<td align="center" valign="top">84.1</td>
<td align="center" valign="top" rowspan="2">0.940</td>
</tr>
<tr>
<td align="left" valign="top">&#x2003;Yes</td>
<td align="center" valign="middle">224</td>
<td align="center" valign="middle">18</td>
<td align="center" valign="top">242</td>
<td align="center" valign="top">15.9</td>
</tr>
<tr>
<td align="left" valign="top">Systolic blood pressure (mmHg)</td>
<td align="center" valign="top">135.91&#x202F;&#x00B1;&#x202F;17.644</td>
<td align="center" valign="top">137.30&#x202F;&#x00B1;&#x202F;17.945</td>
<td align="center" valign="top" colspan="2">136.02&#x202F;&#x00B1;&#x202F;17.665 <sup>#</sup></td>
<td align="center" valign="top">0.420</td>
</tr>
<tr>
<td align="left" valign="top">&#x2003;&#x003C;120&#x202F;mmHg</td>
<td align="center" valign="middle">234</td>
<td align="center" valign="middle">17</td>
<td align="center" valign="top">251</td>
<td align="center" valign="top">16.5</td>
<td align="center" valign="top" rowspan="5">0.928</td>
</tr>
<tr>
<td align="left" valign="top">&#x2003;120&#x2013;139&#x202F;mmHg</td>
<td align="center" valign="middle">634</td>
<td align="center" valign="middle">49</td>
<td align="center" valign="top">683</td>
<td align="center" valign="top">44.9</td>
</tr>
<tr>
<td align="left" valign="top">&#x2003;140&#x2013;159&#x202F;mmHg</td>
<td align="center" valign="middle">394</td>
<td align="center" valign="middle">36</td>
<td align="center" valign="top">430</td>
<td align="center" valign="top">28.3</td>
</tr>
<tr>
<td align="left" valign="top">&#x2003;160&#x2013;179&#x202F;mmHg</td>
<td align="center" valign="middle">123</td>
<td align="center" valign="middle">11</td>
<td align="center" valign="top">134</td>
<td align="center" valign="top">8.8</td>
</tr>
<tr>
<td align="left" valign="top">&#x2003;&#x2265;180&#x202F;mmHg</td>
<td align="center" valign="middle">22</td>
<td align="center" valign="middle">2</td>
<td align="center" valign="top">24</td>
<td align="center" valign="top">1.6</td>
</tr>
<tr>
<td align="left" valign="top">Diastolic blood pressure (mmHg)</td>
<td align="center" valign="top">79.64&#x202F;&#x00B1;&#x202F;10.553</td>
<td align="center" valign="top">77.69&#x202F;&#x00B1;&#x202F;11.261</td>
<td align="center" valign="top" colspan="2">79.49&#x202F;&#x00B1;&#x202F;10.617 <sup>#</sup></td>
<td align="center" valign="top">0.058</td>
</tr>
<tr>
<td align="left" valign="top">&#x2003;&#x003C;80&#x202F;mmHg</td>
<td align="center" valign="middle">764</td>
<td align="center" valign="middle">68</td>
<td align="center" valign="top">832</td>
<td align="center" valign="top">54.7</td>
<td align="center" valign="top" rowspan="5">0.459</td>
</tr>
<tr>
<td align="left" valign="top">&#x2003;80&#x2013;89&#x202F;mmHg</td>
<td align="center" valign="middle">406</td>
<td align="center" valign="middle">35</td>
<td align="center" valign="top">441</td>
<td align="center" valign="top">29.0</td>
</tr>
<tr>
<td align="left" valign="top">&#x2003;90&#x2013;99&#x202F;mmHg</td>
<td align="center" valign="middle">188</td>
<td align="center" valign="middle">9</td>
<td align="center" valign="top">197</td>
<td align="center" valign="top">12.9</td>
</tr>
<tr>
<td align="left" valign="top">&#x2003;100&#x2013;109&#x202F;mmHg</td>
<td align="center" valign="middle">43</td>
<td align="center" valign="middle">3</td>
<td align="center" valign="top">46</td>
<td align="center" valign="top">3.2</td>
</tr>
<tr>
<td align="left" valign="top">&#x2003;&#x2265;110&#x202F;mmHg</td>
<td align="center" valign="middle">6</td>
<td align="center" valign="middle">0</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">0.4</td>
</tr>
<tr>
<td align="left" valign="top">Total</td>
<td align="center" valign="top">1,407</td>
<td align="center" valign="top">115</td>
<td align="center" valign="top">1,522</td>
<td align="center" valign="top">100</td>
<td/>
</tr>
</tbody>
</table>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th rowspan="2"/>
<th rowspan="2"/>
<th rowspan="2"/>
<th align="center" valign="top" colspan="2">Eyes (<italic>n</italic> =&#x202F;2,977)</th>
<th rowspan="2"/>
</tr>
<tr>
<th align="center" valign="top"><italic>n</italic></th>
<th align="center" valign="top">%</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Central thickness (&#x03BC;m)</td>
<td align="center" valign="top">259.15&#x202F;&#x00B1;&#x202F;40.248</td>
<td align="center" valign="top">263.84&#x202F;&#x00B1;&#x202F;39.009</td>
<td align="center" valign="top" colspan="2">264.00&#x202F;&#x00B1;&#x202F;47.262 <sup>#</sup></td>
<td align="center" valign="top">0.092</td>
</tr>
<tr>
<td align="left" valign="top">&#x2003;Thinning</td>
<td align="center" valign="middle">362</td>
<td align="center" valign="middle">23</td>
<td align="center" valign="top">385</td>
<td align="center" valign="top">12.9</td>
<td align="center" valign="top" rowspan="3">0.205</td>
</tr>
<tr>
<td align="left" valign="top">&#x2003;Normal</td>
<td align="center" valign="middle">1,987</td>
<td align="center" valign="middle">160</td>
<td align="center" valign="top">2,147</td>
<td align="center" valign="top">72.1</td>
</tr>
<tr>
<td align="left" valign="top">&#x2003;Thickening</td>
<td align="center" valign="middle">404</td>
<td align="center" valign="middle">41</td>
<td align="center" valign="top">445</td>
<td align="center" valign="top">14.9</td>
</tr>
<tr>
<td align="left" valign="top">Temporal inner thickness (&#x03BC;m)</td>
<td align="center" valign="top">296.28&#x202F;&#x00B1;&#x202F;33.912</td>
<td align="center" valign="top">295.39&#x202F;&#x00B1;&#x202F;27.983</td>
<td align="center" valign="top" colspan="2">296.57&#x202F;&#x00B1;&#x202F;36.487 <sup>#</sup></td>
<td align="center" valign="top">0.704</td>
</tr>
<tr>
<td align="left" valign="top">&#x2003;Thinning</td>
<td align="center" valign="middle">500</td>
<td align="center" valign="middle">41</td>
<td align="center" valign="top">541</td>
<td align="center" valign="top">18.2</td>
<td align="center" valign="top" rowspan="3">0.977</td>
</tr>
<tr>
<td align="left" valign="top">&#x2003;Normal</td>
<td align="center" valign="middle">2,066</td>
<td align="center" valign="middle">167</td>
<td align="center" valign="top">2,233</td>
<td align="center" valign="top">75.0</td>
</tr>
<tr>
<td align="left" valign="top">&#x2003;Thickening</td>
<td align="center" valign="middle">187</td>
<td align="center" valign="middle">16</td>
<td align="center" valign="top">203</td>
<td align="center" valign="top">6.8</td>
</tr>
<tr>
<td align="left" valign="top">Inferior inner thickness (&#x03BC;m)</td>
<td align="center" valign="top">301.60&#x202F;&#x00B1;&#x202F;32.835</td>
<td align="center" valign="top">300.82&#x202F;&#x00B1;&#x202F;28.579</td>
<td align="center" valign="top" colspan="2">302.36&#x202F;&#x00B1;&#x202F;39.480 <sup>#</sup></td>
<td align="center" valign="top">0.730</td>
</tr>
<tr>
<td align="left" valign="top">&#x2003;Thinning</td>
<td align="center" valign="middle">401</td>
<td align="center" valign="middle">32</td>
<td align="center" valign="top">433</td>
<td align="center" valign="top">14.5</td>
<td align="center" valign="top" rowspan="3">0.993</td>
</tr>
<tr>
<td align="left" valign="top">&#x2003;Normal</td>
<td align="center" valign="middle">2,194</td>
<td align="center" valign="middle">179</td>
<td align="center" valign="top">2,373</td>
<td align="center" valign="top">79.7</td>
</tr>
<tr>
<td align="left" valign="top">&#x2003;Thickening</td>
<td align="center" valign="middle">158</td>
<td align="center" valign="middle">13</td>
<td align="center" valign="top">171</td>
<td align="center" valign="top">5.7</td>
</tr>
<tr>
<td align="left" valign="top">Nasal inner thickness (&#x03BC;m)</td>
<td align="center" valign="top">308.66&#x202F;&#x00B1;&#x202F;31.690</td>
<td align="center" valign="top">309.72&#x202F;&#x00B1;&#x202F;31.952</td>
<td align="center" valign="top" colspan="2">309.67&#x202F;&#x00B1;&#x202F;35.263 <sup>#</sup></td>
<td align="center" valign="top">0.632</td>
</tr>
<tr>
<td align="left" valign="top">&#x2003;Thinning</td>
<td align="center" valign="middle">500</td>
<td align="center" valign="middle">40</td>
<td align="center" valign="top">540</td>
<td align="center" valign="top">18.1</td>
<td align="center" valign="top" rowspan="3">0.483</td>
</tr>
<tr>
<td align="left" valign="top">&#x2003;Normal</td>
<td align="center" valign="middle">2,150</td>
<td align="center" valign="middle">172</td>
<td align="center" valign="top">2,322</td>
<td align="center" valign="top">78.0</td>
</tr>
<tr>
<td align="left" valign="top">&#x2003;Thickening</td>
<td align="center" valign="middle">103</td>
<td align="center" valign="middle">12</td>
<td align="center" valign="top">115</td>
<td align="center" valign="top">3.9</td>
</tr>
<tr>
<td align="left" valign="top">Superior inner thickness (&#x03BC;m)</td>
<td align="center" valign="top">300.73&#x202F;&#x00B1;&#x202F;31.684</td>
<td align="center" valign="top">300.44&#x202F;&#x00B1;&#x202F;32.272</td>
<td align="center" valign="top" colspan="2">300.56&#x202F;&#x00B1;&#x202F;33.994 <sup>#</sup></td>
<td align="center" valign="top">0.894</td>
</tr>
<tr>
<td align="left" valign="top">&#x2003;Thinning</td>
<td align="center" valign="middle">2,058</td>
<td align="center" valign="middle">158</td>
<td align="center" valign="top">619</td>
<td align="center" valign="top">20.8</td>
<td align="center" valign="top" rowspan="3">0.242</td>
</tr>
<tr>
<td align="left" valign="top">&#x2003;Normal</td>
<td align="center" valign="middle">568</td>
<td align="center" valign="middle">51</td>
<td align="center" valign="top">2,216</td>
<td align="center" valign="top">74.6</td>
</tr>
<tr>
<td align="left" valign="top">&#x2003;Thickening</td>
<td align="center" valign="middle">127</td>
<td align="center" valign="middle">15</td>
<td align="center" valign="top">142</td>
<td align="center" valign="top">4.8</td>
</tr>
<tr>
<td align="left" valign="top">Temporal outer thickness (&#x03BC;m)</td>
<td align="center" valign="top">266.80&#x202F;&#x00B1;&#x202F;33.964</td>
<td align="center" valign="top">264.65&#x202F;&#x00B1;&#x202F;28.436</td>
<td align="center" valign="top" colspan="2">266.87&#x202F;&#x00B1;&#x202F;36.585 <sup>#</sup></td>
<td align="center" valign="top">0.355</td>
</tr>
<tr>
<td align="left" valign="top">&#x2003;Thinning</td>
<td align="center" valign="middle">442</td>
<td align="center" valign="middle">45</td>
<td align="center" valign="top">487</td>
<td align="center" valign="top">16.4</td>
<td align="center" valign="top" rowspan="3">0.156</td>
</tr>
<tr>
<td align="left" valign="top">&#x2003;Normal</td>
<td align="center" valign="middle">2,065</td>
<td align="center" valign="middle">155</td>
<td align="center" valign="top">2,220</td>
<td align="center" valign="top">74.6</td>
</tr>
<tr>
<td align="left" valign="top">&#x2003;Thickening</td>
<td align="center" valign="middle">246</td>
<td align="center" valign="middle">24</td>
<td align="center" valign="top">270</td>
<td align="center" valign="top">9.1</td>
</tr>
<tr>
<td align="left" valign="top">Inferior outer thickness (&#x03BC;m)</td>
<td align="center" valign="top">271.78&#x202F;&#x00B1;&#x202F;30.525</td>
<td align="center" valign="top">272.01&#x202F;&#x00B1;&#x202F;41.830</td>
<td align="center" valign="top" colspan="2">273.16&#x202F;&#x00B1;&#x202F;33.675 <sup>#</sup></td>
<td align="center" valign="top">0.916</td>
</tr>
<tr>
<td align="left" valign="top">&#x2003;Thinning</td>
<td align="center" valign="middle">268</td>
<td align="center" valign="middle">36</td>
<td align="center" valign="top">304</td>
<td align="center" valign="top">10.2</td>
<td align="center" valign="top" rowspan="3">0.005&#x002A;</td>
</tr>
<tr>
<td align="left" valign="top">&#x2003;Normal</td>
<td align="center" valign="middle">2,131</td>
<td align="center" valign="middle">155</td>
<td align="center" valign="top">2,286</td>
<td align="center" valign="top">76.8</td>
</tr>
<tr>
<td align="left" valign="top">&#x2003;Thickening</td>
<td align="center" valign="middle">354</td>
<td align="center" valign="middle">33</td>
<td align="center" valign="top">387</td>
<td align="center" valign="top">13.0</td>
</tr>
<tr>
<td align="left" valign="top">Nasal outer thickness (&#x03BC;m)</td>
<td align="center" valign="top">291.75&#x202F;&#x00B1;&#x202F;26.048</td>
<td align="center" valign="top">293.49&#x202F;&#x00B1;&#x202F;49.075</td>
<td align="center" valign="top" colspan="2">292.26&#x202F;&#x00B1;&#x202F;27.933 <sup>#</sup></td>
<td align="center" valign="top">0.380</td>
</tr>
<tr>
<td align="left" valign="top">&#x2003;Thinning</td>
<td align="center" valign="middle">289</td>
<td align="center" valign="middle">24</td>
<td align="center" valign="top">313</td>
<td align="center" valign="top">10.5</td>
<td align="center" valign="top" rowspan="3">0.864</td>
</tr>
<tr>
<td align="left" valign="top">&#x2003;Normal</td>
<td align="center" valign="middle">2,280</td>
<td align="center" valign="middle">183</td>
<td align="center" valign="top">2,463</td>
<td align="center" valign="top">82.7</td>
</tr>
<tr>
<td align="left" valign="top">&#x2003;Thickening</td>
<td align="center" valign="middle">184</td>
<td align="center" valign="middle">17</td>
<td align="center" valign="top">201</td>
<td align="center" valign="top">6.8</td>
</tr>
<tr>
<td align="left" valign="top">Superior outer thickness (&#x03BC;m)</td>
<td align="center" valign="top">275.59&#x202F;&#x00B1;&#x202F;28.379</td>
<td align="center" valign="top">277.50&#x202F;&#x00B1;&#x202F;44.970</td>
<td align="center" valign="top" colspan="2">275.38&#x202F;&#x00B1;&#x202F;30.212 <sup>#</sup></td>
<td align="center" valign="top">0.359</td>
</tr>
<tr>
<td align="left" valign="top">&#x2003;Thinning</td>
<td align="center" valign="middle">507</td>
<td align="center" valign="middle">42</td>
<td align="center" valign="top">549</td>
<td align="center" valign="top">18.4</td>
<td align="center" valign="top" rowspan="3">0.930</td>
</tr>
<tr>
<td align="left" valign="top">&#x2003;Normal</td>
<td align="center" valign="middle">2,030</td>
<td align="center" valign="middle">163</td>
<td align="center" valign="top">2,193</td>
<td align="center" valign="top">73.7</td>
</tr>
<tr>
<td align="left" valign="top">&#x2003;Thickening</td>
<td align="center" valign="middle">216</td>
<td align="center" valign="middle">19</td>
<td align="center" valign="top">235</td>
<td align="center" valign="top">7.9</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><sup>#</sup>Mean &#x00B1; SD.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec9">
<label>3.2</label>
<title>Participants&#x2019; retinal thickness status</title>
<p>Among 2,977 eyes, 385 eyes (12.9%) were thinned, 2,147 (72.1%) had normal thickness, and 445 (14.9%) were thickened in Central thickness (<xref ref-type="table" rid="tab1">Table 1</xref>). The RT in the remaining quadrants, as well as the number (proportion) of thinning/normal/thickening eyes, are shown in <xref ref-type="fig" rid="fig2">Figure 2A</xref>. Whether in the temporal, nasal, superior, or inferior region, the central retina was the thinnest, followed by the outer circle, while the inner circle was the thickest. In the inner retina region, the nasal retinal region was thicker, the temporal was the thinnest, and the thickness of the superior and inferior was not significantly different. In the outer retinal region, the nasal retinal region was the thickest, followed by the superior and inferior, while the temporal was the thinnest (<xref ref-type="fig" rid="fig2">Figure 2B</xref>). The RT under different systolic/diastolic blood pressure categories were presented in <xref ref-type="table" rid="tab2">Table 2</xref>.</p>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption>
<p>Retinal thickness in various regions. <bold>(A)</bold> Among the nine regions of the macular retinal area, the distinct RT (Mean&#x00B1;SD) of each region is presented, along with the number and proportion of eyes showing retinal thinning/normal/thickening thickness in each region; <bold>(B)</bold> <italic>T</italic>-test bar chart of RT in different regions, which examines the thickness differences of the central, inner, and outer retinal regions, as well as the thickness differences of the inner, inferior, nasal, and temporal sides of the retina.</p>
</caption>
<graphic xlink:href="fmed-13-1752515-g002.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Diagram and bar graphs showing retinal thickness data. Part A presents a circular diagram with sections labeled Superior, Temporal, Nasal, and Inferior, each divided into Central, Inner, and Outer regions. Colors indicate thinning, normal, and thickening. Part B displays bar graphs comparing thickness in different retinal areas with statistical significance marked above the bars. The keys illustrate color associations for Central, Inner, Outer, Temporal, Inferior, Nasal, and Superior regions.</alt-text>
</graphic>
</fig>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption>
<p>Retinal thickness in different retinal subfields among participants stratified by diastolic/systolic blood pressure.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Retinal region</th>
<th align="center" valign="top" colspan="5">Systolic blood pressure (mmHg)</th>
</tr>
<tr>
<th>Mean &#x00B1; SD (&#x03BC;m)</th>
<th align="center" valign="top">&#x003C;120</th>
<th align="center" valign="top">120&#x2013;139</th>
<th align="center" valign="top">140&#x2013;159</th>
<th align="center" valign="top">160&#x2013;179</th>
<th align="center" valign="top">&#x2265;180</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Central</td>
<td align="center" valign="middle">260.16&#x202F;&#x00B1;&#x202F;42.994</td>
<td align="center" valign="middle">257.65&#x202F;&#x00B1;&#x202F;36.192</td>
<td align="center" valign="middle">260.20&#x202F;&#x00B1;&#x202F;41.712</td>
<td align="center" valign="middle">262.55&#x202F;&#x00B1;&#x202F;46.116</td>
<td align="center" valign="middle">275.17&#x202F;&#x00B1;&#x202F;48.611</td>
</tr>
<tr>
<td align="left" valign="top">Temporal Inner</td>
<td align="center" valign="middle">295.95&#x202F;&#x00B1;&#x202F;34.371</td>
<td align="center" valign="middle">295.97&#x202F;&#x00B1;&#x202F;30.264</td>
<td align="center" valign="middle">296.02&#x202F;&#x00B1;&#x202F;37.905</td>
<td align="center" valign="middle">297.63&#x202F;&#x00B1;&#x202F;30.708</td>
<td align="center" valign="middle">301.19&#x202F;&#x00B1;&#x202F;42.479</td>
</tr>
<tr>
<td align="left" valign="top">Inferior Inner</td>
<td align="center" valign="middle">300.45&#x202F;&#x00B1;&#x202F;33.025</td>
<td align="center" valign="middle">300.48&#x202F;&#x00B1;&#x202F;28.085</td>
<td align="center" valign="middle">302.62&#x202F;&#x00B1;&#x202F;37.305</td>
<td align="center" valign="middle">303.54&#x202F;&#x00B1;&#x202F;33.792</td>
<td align="center" valign="middle">312.32&#x202F;&#x00B1;&#x202F;42.764</td>
</tr>
<tr>
<td align="left" valign="top">Nasal Inner</td>
<td align="center" valign="middle">308.24&#x202F;&#x00B1;&#x202F;31.684</td>
<td align="center" valign="middle">307.86&#x202F;&#x00B1;&#x202F;28.842</td>
<td align="center" valign="middle">308.88&#x202F;&#x00B1;&#x202F;34.078</td>
<td align="center" valign="middle">313.15&#x202F;&#x00B1;&#x202F;37.603</td>
<td align="center" valign="middle">311.72&#x202F;&#x00B1;&#x202F;28.013</td>
</tr>
<tr>
<td align="left" valign="top">Superior Inner</td>
<td align="center" valign="middle">300.59&#x202F;&#x00B1;&#x202F;31.507</td>
<td align="center" valign="middle">300.39&#x202F;&#x00B1;&#x202F;29.085</td>
<td align="center" valign="middle">300.47&#x202F;&#x00B1;&#x202F;35.191</td>
<td align="center" valign="middle">303.07&#x202F;&#x00B1;&#x202F;32.462</td>
<td align="center" valign="middle">301.77&#x202F;&#x00B1;&#x202F;36.583</td>
</tr>
<tr>
<td align="left" valign="top">Temporal Outer</td>
<td align="center" valign="middle">265.52&#x202F;&#x00B1;&#x202F;32.433</td>
<td align="center" valign="middle">267.63&#x202F;&#x00B1;&#x202F;34.315</td>
<td align="center" valign="middle">266.24&#x202F;&#x00B1;&#x202F;34.186</td>
<td align="center" valign="middle">264.26&#x202F;&#x00B1;&#x202F;28.503</td>
<td align="center" valign="middle">271.02&#x202F;&#x00B1;&#x202F;39.428</td>
</tr>
<tr>
<td align="left" valign="top">Inferior Outer</td>
<td align="center" valign="middle">270.64&#x202F;&#x00B1;&#x202F;28.939</td>
<td align="center" valign="middle">272.22&#x202F;&#x00B1;&#x202F;32.622</td>
<td align="center" valign="middle">272.16&#x202F;&#x00B1;&#x202F;31.589</td>
<td align="center" valign="middle">269.35&#x202F;&#x00B1;&#x202F;28.453</td>
<td align="center" valign="middle">279.00&#x202F;&#x00B1;&#x202F;39.024</td>
</tr>
<tr>
<td align="left" valign="top">Nasal Outer</td>
<td align="center" valign="middle">291.73&#x202F;&#x00B1;&#x202F;25.557</td>
<td align="center" valign="middle">291.78&#x202F;&#x00B1;&#x202F;29.826</td>
<td align="center" valign="middle">291.85&#x202F;&#x00B1;&#x202F;27.578</td>
<td align="center" valign="middle">292.54&#x202F;&#x00B1;&#x202F;30.001</td>
<td align="center" valign="middle">293.32&#x202F;&#x00B1;&#x202F;22.653</td>
</tr>
<tr>
<td align="left" valign="top">Superior Outer</td>
<td align="center" valign="middle">275.62&#x202F;&#x00B1;&#x202F;28.381</td>
<td align="center" valign="middle">276.41&#x202F;&#x00B1;&#x202F;29.803</td>
<td align="center" valign="middle">275.23&#x202F;&#x00B1;&#x202F;31.560</td>
<td align="center" valign="middle">274.52&#x202F;&#x00B1;&#x202F;28.459</td>
<td align="center" valign="middle">273.53&#x202F;&#x00B1;&#x202F;28.996</td>
</tr>
</tbody>
</table>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th rowspan="2"/>
<th align="center" valign="top" colspan="5">Diastolic blood pressure (mmHg)</th>
</tr>
<tr>
<th align="center" valign="top">&#x003C;80</th>
<th align="center" valign="top">80&#x2013;89</th>
<th align="center" valign="top">90&#x2013;99</th>
<th align="center" valign="top">100&#x2013;109</th>
<th align="center" valign="top">&#x2265;110</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Central</td>
<td align="center" valign="middle">258.73&#x202F;&#x00B1;&#x202F;37.600</td>
<td align="center" valign="middle">259.84&#x202F;&#x00B1;&#x202F;40.815</td>
<td align="center" valign="middle">257.78&#x202F;&#x00B1;&#x202F;38.487</td>
<td align="center" valign="middle">264.79&#x202F;&#x00B1;&#x202F;37.886</td>
<td align="center" valign="middle">357.45&#x202F;&#x00B1;&#x202F;148.220</td>
</tr>
<tr>
<td align="left" valign="top">Temporal Inner</td>
<td align="center" valign="middle">294.13&#x202F;&#x00B1;&#x202F;31.768</td>
<td align="center" valign="middle">297.90&#x202F;&#x00B1;&#x202F;33.866</td>
<td align="center" valign="middle">297.36&#x202F;&#x00B1;&#x202F;36.526</td>
<td align="center" valign="middle">299.83&#x202F;&#x00B1;&#x202F;26.641</td>
<td align="center" valign="middle">352.45&#x202F;&#x00B1;&#x202F;84.550</td>
</tr>
<tr>
<td align="left" valign="top">Inferior Inner</td>
<td align="center" valign="middle">299.45&#x202F;&#x00B1;&#x202F;29.564</td>
<td align="center" valign="middle">303.61&#x202F;&#x00B1;&#x202F;34.493</td>
<td align="center" valign="middle">300.93&#x202F;&#x00B1;&#x202F;31.782</td>
<td align="center" valign="middle">304.34&#x202F;&#x00B1;&#x202F;20.334</td>
<td align="center" valign="middle">387.09&#x202F;&#x00B1;&#x202F;116.823</td>
</tr>
<tr>
<td align="left" valign="top">Nasal Inner</td>
<td align="center" valign="middle">306.64&#x202F;&#x00B1;&#x202F;30.280</td>
<td align="center" valign="middle">311.19&#x202F;&#x00B1;&#x202F;31.806</td>
<td align="center" valign="middle">307.70&#x202F;&#x00B1;&#x202F;31.702</td>
<td align="center" valign="middle">312.58&#x202F;&#x00B1;&#x202F;25.405</td>
<td align="center" valign="middle">372.18&#x202F;&#x00B1;&#x202F;107.427</td>
</tr>
<tr>
<td align="left" valign="top">Superior Inner</td>
<td align="center" valign="middle">298.21&#x202F;&#x00B1;&#x202F;31.368</td>
<td align="center" valign="middle">302.99&#x202F;&#x00B1;&#x202F;31.431</td>
<td align="center" valign="middle">302.97&#x202F;&#x00B1;&#x202F;32.953</td>
<td align="center" valign="middle">302.89&#x202F;&#x00B1;&#x202F;28.579</td>
<td align="center" valign="middle">328.36&#x202F;&#x00B1;&#x202F;56.906</td>
</tr>
<tr>
<td align="left" valign="top">Temporal Outer</td>
<td align="center" valign="middle">265.76&#x202F;&#x00B1;&#x202F;35.656</td>
<td align="center" valign="middle">267.78&#x202F;&#x00B1;&#x202F;29.856</td>
<td align="center" valign="middle">265.29&#x202F;&#x00B1;&#x202F;35.683</td>
<td align="center" valign="middle">269.47&#x202F;&#x00B1;&#x202F;19.899</td>
<td align="center" valign="middle">313.27&#x202F;&#x00B1;&#x202F;62.933</td>
</tr>
<tr>
<td align="left" valign="top">Inferior Outer</td>
<td align="center" valign="middle">271.98&#x202F;&#x00B1;&#x202F;31.914</td>
<td align="center" valign="middle">272.69&#x202F;&#x00B1;&#x202F;31.165</td>
<td align="center" valign="middle">267.20&#x202F;&#x00B1;&#x202F;30.285</td>
<td align="center" valign="middle">273.28&#x202F;&#x00B1;&#x202F;19.248</td>
<td align="center" valign="middle">322.64&#x202F;&#x00B1;&#x202F;70.647</td>
</tr>
<tr>
<td align="left" valign="top">Nasal Outer</td>
<td align="center" valign="middle">291.43&#x202F;&#x00B1;&#x202F;29.967</td>
<td align="center" valign="middle">292.87&#x202F;&#x00B1;&#x202F;27.114</td>
<td align="center" valign="middle">289.70&#x202F;&#x00B1;&#x202F;27.430</td>
<td align="center" valign="middle">294.46&#x202F;&#x00B1;&#x202F;17.394</td>
<td align="center" valign="middle">326.91&#x202F;&#x00B1;&#x202F;31.191</td>
</tr>
<tr>
<td align="left" valign="top">Superior Outer</td>
<td align="center" valign="middle">275.00&#x202F;&#x00B1;&#x202F;30.994</td>
<td align="center" valign="middle">276.72&#x202F;&#x00B1;&#x202F;28.723</td>
<td align="center" valign="middle">274.97&#x202F;&#x00B1;&#x202F;30.275</td>
<td align="center" valign="middle">277.64&#x202F;&#x00B1;&#x202F;22.414</td>
<td align="center" valign="middle">300.00&#x202F;&#x00B1;&#x202F;42.143</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="sec10">
<label>3.3</label>
<title>Univariate logistics regression revealed that a history of hypertension influenced retinal thickness in different regions</title>
<p>In the preceding descriptive analyses, we identified an association between history of hypertension and COPD. Accordingly, participants were stratified into hypertensive and non-hypertensive subgroups for separate statistical evaluations. In the non-hypertensive subgroup, retinal thickness exhibited statistically significant differences between individuals with and without COPD in select regions, whereas no significant differences were observed in any regions within the hypertensive subgroup. (<xref ref-type="table" rid="tab3">Table 3</xref>).</p>
<table-wrap position="float" id="tab3">
<label>Table 3</label>
<caption>
<p>Retinal thickness in different retinal subfields among participants&#x2019; conditions of hypertension and COPD.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th>Retinal region</th>
<th align="center" valign="top" colspan="3">Hypertension(&#x2212;)</th>
<th align="center" valign="top" colspan="3">Hypertension(+)</th>
</tr>
<tr>
<th align="left" valign="top">COPD</th>
<th align="center" valign="top">No</th>
<th align="center" valign="top">Yes</th>
<th align="center" valign="top">P</th>
<th align="center" valign="top">No</th>
<th align="center" valign="top">Yes</th>
<th align="center" valign="top">P</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Central</td>
<td align="center" valign="top">257.70&#x202F;&#x00B1;&#x202F;37.211</td>
<td align="center" valign="top">273.33&#x202F;&#x00B1;&#x202F;44.661</td>
<td align="center" valign="top">&#x003C;0.001&#x002A;</td>
<td align="center" valign="top">260.70&#x202F;&#x00B1;&#x202F;43.231</td>
<td align="center" valign="top">259.35&#x202F;&#x00B1;&#x202F;35.302</td>
<td align="center" valign="top">0.711</td>
</tr>
<tr>
<td align="left" valign="top">Temporal inner</td>
<td align="center" valign="top">296.44&#x202F;&#x00B1;&#x202F;31.763</td>
<td align="center" valign="top">297.01&#x202F;&#x00B1;&#x202F;31.951</td>
<td align="center" valign="top">0.881</td>
<td align="center" valign="top">296.10&#x202F;&#x00B1;&#x202F;36.087</td>
<td align="center" valign="top">294.63&#x202F;&#x00B1;&#x202F;25.972</td>
<td align="center" valign="top">0.625</td>
</tr>
<tr>
<td align="left" valign="top">Inferior inner</td>
<td align="center" valign="top">300.79&#x202F;&#x00B1;&#x202F;30.716</td>
<td align="center" valign="top">307.61&#x202F;&#x00B1;&#x202F;22.369</td>
<td align="center" valign="top">0.063</td>
<td align="center" valign="top">302.47&#x202F;&#x00B1;&#x202F;34.957</td>
<td align="center" valign="top">297.60&#x202F;&#x00B1;&#x202F;30.635</td>
<td align="center" valign="top">0.100</td>
</tr>
<tr>
<td align="left" valign="top">Nasal inner</td>
<td align="center" valign="top">308.37&#x202F;&#x00B1;&#x202F;30.774</td>
<td align="center" valign="top">318.56&#x202F;&#x00B1;&#x202F;37.787</td>
<td align="center" valign="top">0.007&#x002A;</td>
<td align="center" valign="top">308.98&#x202F;&#x00B1;&#x202F;32.653</td>
<td align="center" valign="top">305.53&#x202F;&#x00B1;&#x202F;27.955</td>
<td align="center" valign="top">0.212</td>
</tr>
<tr>
<td align="left" valign="top">Superior inner</td>
<td align="center" valign="top">301.27&#x202F;&#x00B1;&#x202F;31.588</td>
<td align="center" valign="top">303.03&#x202F;&#x00B1;&#x202F;31.783</td>
<td align="center" valign="top">0.646</td>
<td align="center" valign="top">300.15&#x202F;&#x00B1;&#x202F;31.788</td>
<td align="center" valign="top">299.21&#x202F;&#x00B1;&#x202F;32.533</td>
<td align="center" valign="top">0.732</td>
</tr>
<tr>
<td align="left" valign="top">Temporal outer</td>
<td align="center" valign="top">267.74&#x202F;&#x00B1;&#x202F;35.352</td>
<td align="center" valign="top">265.96&#x202F;&#x00B1;&#x202F;35.518</td>
<td align="center" valign="top">0.677</td>
<td align="center" valign="top">265.80&#x202F;&#x00B1;&#x202F;32.392</td>
<td align="center" valign="top">264.03&#x202F;&#x00B1;&#x202F;24.49</td>
<td align="center" valign="top">0.512</td>
</tr>
<tr>
<td align="left" valign="top">Inferior outer</td>
<td align="center" valign="top">271.06&#x202F;&#x00B1;&#x202F;30.041</td>
<td align="center" valign="top">278.42&#x202F;&#x00B1;&#x202F;31.002</td>
<td align="center" valign="top">0.043&#x002A;</td>
<td align="center" valign="top">272.54&#x202F;&#x00B1;&#x202F;31.029</td>
<td align="center" valign="top">268.97&#x202F;&#x00B1;&#x202F;45.862</td>
<td align="center" valign="top">0.205</td>
</tr>
<tr>
<td align="left" valign="top">Nasal outer</td>
<td align="center" valign="top">291.92&#x202F;&#x00B1;&#x202F;27.099</td>
<td align="center" valign="top">299.44&#x202F;&#x00B1;&#x202F;29.245</td>
<td align="center" valign="top">0.022&#x002A;</td>
<td align="center" valign="top">291.57&#x202F;&#x00B1;&#x202F;24.881</td>
<td align="center" valign="top">290.66&#x202F;&#x00B1;&#x202F;55.943</td>
<td align="center" valign="top">0.722</td>
</tr>
<tr>
<td align="left" valign="top">Superior outer</td>
<td align="center" valign="top">277.41&#x202F;&#x00B1;&#x202F;28.168</td>
<td align="center" valign="top">276.81&#x202F;&#x00B1;&#x202F;31.227</td>
<td align="center" valign="top">0.860</td>
<td align="center" valign="top">273.64&#x202F;&#x00B1;&#x202F;28.486</td>
<td align="center" valign="top">277.83&#x202F;&#x00B1;&#x202F;50.277</td>
<td align="center" valign="top">0.120</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Subsequently, univariate linear analyses were performed separately to examine the relationships between age and RT, and between blood pressure and RT among the enrolled participants. These analyses revealed that RT in all regions except the central region thinned with increasing age (<xref ref-type="fig" rid="fig3">Figure 3A</xref>; <xref ref-type="supplementary-material" rid="SM1">Supplementary Figure S1A</xref>). In contrast, DBP was negatively correlated with RT in most of the retinal regions, while SBP had no statistical significance (<xref ref-type="fig" rid="fig3">Figure 3B</xref>; <xref ref-type="supplementary-material" rid="SM1">Supplementary Figures S1B,C</xref>). Meanwhile, univariate logistics regression analyses were performed to examine the association between retinal thickening/thinning and the following factors of the participants: gender, alcohol consumption history, history of COPD, history of hypertension, history of diabetes mellitus, history of coronary heart disease, history of hyperlipidemia,</p>
<fig position="float" id="fig3">
<label>Figure 3</label>
<caption>
<p>Results of univariate linear analysis among <bold>(A)</bold> age, <bold>(B)</bold> SBP, <bold>(C)</bold> DBP, and retinal thickness in different regions.</p>
</caption>
<graphic xlink:href="fmed-13-1752515-g003.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Chart displaying three tables and corresponding forest plots. Panel (A) shows the relationship between age and retinal thickness, indicating significant negative correlations with multiple subfields. Panel (B) compares systolic blood pressure (SBP) with retinal thickness, showing no significant findings. Panel (C) illustrates the relationship between diastolic blood pressure (DBP) and retinal thickness, with significant positive correlations in several subfields. Each plot visualizes the confidence intervals and significance of the data points, with significant differences marked by asterisks.</alt-text>
</graphic>
</fig>
<p>30-min moderate-intensity physical activity, weekly vegetable and fruit intake, preference for salty taste and consumption of pickled foods. The other results were presented in <xref ref-type="supplementary-material" rid="SM1">Supplementary Figure S2</xref>. Both histories of hypertension and COPD influenced retinal thickness, with COPD predominantly affecting the non-hypertensive subgroup.</p>
<p>Univariate logistics regression analysis revealed that a history of hypertension was a potential risk factor for retinal thinning in the temporal inner region and superior outer region (<xref ref-type="table" rid="tab4">Table 4</xref>). Therefore, a further univariate linear regression analysis was conducted on the subjects&#x2019; daily blood pressure, which demonstrated that DBP was.</p>
<table-wrap position="float" id="tab4">
<label>Table 4</label>
<caption>
<p>Univariate logistics regression analysis of history of hypertension and retinal thickness.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th>Retinal region</th>
<th align="center" valign="top" colspan="3">Thinning</th>
<th align="center" valign="top" colspan="3">Thickening</th>
</tr>
<tr>
<th align="left" valign="top">Ref: No</th>
<th align="center" valign="top"><italic>&#x03C7;</italic><sup>2</sup></th>
<th align="center" valign="top"><italic>p</italic></th>
<th align="center" valign="top">OR (95% CI)</th>
<th align="center" valign="top"><italic>&#x03C7;</italic><sup>2</sup></th>
<th align="center" valign="top"><italic>p</italic></th>
<th align="center" valign="top">OR (95% CI)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Central</td>
<td align="center" valign="middle">1.406</td>
<td align="center" valign="middle">0.236</td>
<td align="center" valign="middle">1.140 (0.918,1.417)</td>
<td align="center" valign="middle">0.073</td>
<td align="center" valign="middle">0.787</td>
<td align="center" valign="middle">1.029 (0.839,1.261)</td>
</tr>
<tr>
<td align="left" valign="top">Temporal inner</td>
<td align="center" valign="middle">5.556</td>
<td align="center" valign="middle">0.018&#x002A;</td>
<td align="center" valign="middle">1.254 (1.039,1.514)</td>
<td align="center" valign="middle">2.144</td>
<td align="center" valign="middle">0.143</td>
<td align="center" valign="middle">1.240 (0.930,1.654)</td>
</tr>
<tr>
<td align="left" valign="top">Inferior inner</td>
<td align="center" valign="middle">0.253</td>
<td align="center" valign="middle">0.615</td>
<td align="center" valign="middle">1.054 (0.859,1.294)</td>
<td align="center" valign="middle">1.311</td>
<td align="center" valign="middle">0.252</td>
<td align="center" valign="middle">1.199 (0.879,1.637)</td>
</tr>
<tr>
<td align="left" valign="top">Nasal inner</td>
<td align="center" valign="middle">1.331</td>
<td align="center" valign="middle">0.249</td>
<td align="center" valign="middle">1.117 (0.926,1.347)</td>
<td align="center" valign="middle">0.415</td>
<td align="center" valign="middle">0.519</td>
<td align="center" valign="middle">1.131 (0.778,1.645)</td>
</tr>
<tr>
<td align="left" valign="top">Superior inner</td>
<td align="center" valign="middle">0.334</td>
<td align="center" valign="middle">0.563</td>
<td align="center" valign="middle">1.054 (0.882,1.260)</td>
<td align="center" valign="middle">0.018</td>
<td align="center" valign="middle">0.892</td>
<td align="center" valign="middle">1.024 (0.729,1.437)</td>
</tr>
<tr>
<td align="left" valign="top">Temporal outer</td>
<td align="center" valign="middle">1.606</td>
<td align="center" valign="middle">0.205</td>
<td align="center" valign="middle">1.135 (0.933,1.382)</td>
<td align="center" valign="middle">0.000</td>
<td align="center" valign="middle">0.983</td>
<td align="center" valign="middle">1.003 (0.779,1.291)</td>
</tr>
<tr>
<td align="left" valign="top">Inferior outer</td>
<td align="center" valign="middle">2.536</td>
<td align="center" valign="middle">0.111</td>
<td align="center" valign="middle">1.215 (0.956,1.545)</td>
<td align="center" valign="middle">0.145</td>
<td align="center" valign="middle">0.703</td>
<td align="center" valign="middle">1.043 (0.841,1.294)</td>
</tr>
<tr>
<td align="left" valign="top">Nasal outer</td>
<td align="center" valign="middle">2.888</td>
<td align="center" valign="middle">0.089</td>
<td align="center" valign="middle">1.227 (0.969,1.554)</td>
<td align="center" valign="middle">0.015</td>
<td align="center" valign="middle">0.902</td>
<td align="center" valign="middle">0.982 (0.737,1.309)</td>
</tr>
<tr>
<td align="left" valign="top">Superior outer</td>
<td align="center" valign="middle">6.672</td>
<td align="center" valign="middle">0.010&#x002A;</td>
<td align="center" valign="middle">1.281 (1.062,1.546)</td>
<td align="center" valign="middle">2.671</td>
<td align="center" valign="middle">0.102</td>
<td align="center" valign="middle">0.798 (0.608,1.046)</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>positively correlated with the thickness of the central and inner retinal regions, whereas SBP showed no statistical significance (<xref ref-type="fig" rid="fig3">Figures 3B</xref>,<xref ref-type="fig" rid="fig3">C</xref>; <xref ref-type="supplementary-material" rid="SM1">Supplementary Figures S1B,C</xref>).</p>
</sec>
<sec id="sec11">
<label>3.4</label>
<title>Multivariable analysis revealed that the effect of diastolic blood pressure on retinal thickness was mitigated following the use of antihypertensive medications</title>
<p>Finally, we performed a multivariable analysis, incorporating the aforementioned univariate variables (including history of hypertension and COPD) into a multivariable logistics regression model. After adjusting for other factors, the history of hypertension was identified as a risk factor for thinning of the temporal inner region and superior outer region, and history of COPD was a risk factor for thinning of inferior outer region (<xref ref-type="table" rid="tab5">Table 5</xref>; <xref ref-type="fig" rid="fig4">Figure 4</xref>). Subsequently, we adjusted the model again, incorporating the participants&#x2019; SBP and DBP into the multivariable linear regression model separately. This analysis revealed that SBP had a limited effect on RT, whereas DBP was positively correlated with the thickness of the inner retinal region as DBP increased (<xref ref-type="table" rid="tab6">Table 6</xref>). After adjusting the model once more, we focused on participants with a history of hypertension who were taking antihypertensive medications. In this subgroup, the effect of elevated DBP on the thickness of the inner retinal region was much more limited, with a positive correlation only observed in the superior inner region. Meanwhile, SBP still had a limited effect on RT, showing a negative correlation solely in the temporal outer region (<xref ref-type="table" rid="tab7">Table 7</xref>).</p>
<table-wrap position="float" id="tab5">
<label>Table 5</label>
<caption>
<p>Multivariable logistics regression analysis of retinal thickness.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" rowspan="2">Reference no</th>
<th align="center" valign="top" colspan="4">Thinning (ref: normal)</th>
<th align="center" valign="top" colspan="4">Thickening (ref: normal)</th>
</tr>
<tr>
<th align="center" valign="top"><italic>&#x03B2;</italic></th>
<th align="center" valign="top"><italic>&#x03C7;</italic><sup>2</sup></th>
<th align="center" valign="top"><italic>p</italic></th>
<th align="center" valign="top">OR (95% CI)</th>
<th align="center" valign="top"><italic>&#x03B2;</italic></th>
<th align="center" valign="top"><italic>&#x03C7;</italic><sup>2</sup></th>
<th align="center" valign="top"><italic>p</italic></th>
<th align="center" valign="top">OR (95% CI)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" colspan="9">Central thickness</td>
</tr>
<tr>
<td align="left" valign="top">History of hypertension</td>
<td align="center" valign="top">0.153</td>
<td align="center" valign="top">1.733</td>
<td align="center" valign="top">0.188</td>
<td align="center" valign="top">1.165 (0.928,1.464)</td>
<td align="center" valign="top">&#x2212;0.023</td>
<td align="center" valign="top">0.043</td>
<td align="center" valign="top">0.835</td>
<td align="center" valign="top">0.977 (0.788,1.213)</td>
</tr>
<tr>
<td align="left" valign="top">History of COPD</td>
<td align="center" valign="top">&#x2212;0.316</td>
<td align="center" valign="top">1.610</td>
<td align="center" valign="top">0.205</td>
<td align="center" valign="top">0.729 (0.447,1.188)</td>
<td align="center" valign="top">0.038</td>
<td align="center" valign="top">0.034</td>
<td align="center" valign="top">0.853</td>
<td align="center" valign="top">1.039 (0.695,1.553)</td>
</tr>
<tr>
<td align="left" valign="top" colspan="9">Temporal inner thickness</td>
</tr>
<tr>
<td align="left" valign="top">History of hypertension</td>
<td align="center" valign="middle">0.228</td>
<td align="center" valign="middle">5.058</td>
<td align="center" valign="middle">0.025&#x002A;</td>
<td align="center" valign="middle">1.256 (1.030,1.533)</td>
<td align="center" valign="middle">0.273</td>
<td align="center" valign="middle">3.137</td>
<td align="center" valign="middle">0.077</td>
<td align="center" valign="middle">1.314 (0.971,1.779)</td>
</tr>
<tr>
<td align="left" valign="top">History of COPD</td>
<td align="center" valign="middle">&#x2212;0.112</td>
<td align="center" valign="middle">0.314</td>
<td align="center" valign="middle">0.575</td>
<td align="center" valign="top">0.894 (0.604,1.323)</td>
<td align="center" valign="top">&#x2212;0.024</td>
<td align="center" valign="top">0.006</td>
<td align="center" valign="top">0.936</td>
<td align="center" valign="top">0.976 (0.544,1.751)</td>
</tr>
<tr>
<td align="left" valign="top" colspan="9">Inferior inner thickness</td>
</tr>
<tr>
<td align="left" valign="top">History of hypertension</td>
<td align="center" valign="middle">0.043</td>
<td align="center" valign="middle">0.154</td>
<td align="center" valign="middle">0.695</td>
<td align="center" valign="middle">1.044 (0.841,1.296)</td>
<td align="center" valign="middle">0.218</td>
<td align="center" valign="middle">1.722</td>
<td align="center" valign="middle">0.189</td>
<td align="center" valign="middle">1.244 (0.898,1.724)</td>
</tr>
<tr>
<td align="left" valign="top">History of COPD</td>
<td align="center" valign="middle">&#x2212;0.107</td>
<td align="center" valign="middle">0.236</td>
<td align="center" valign="middle">0.627</td>
<td align="center" valign="middle">0.899 (0.584,1.382)</td>
<td align="center" valign="middle">&#x2212;0.110</td>
<td align="center" valign="middle">0.113</td>
<td align="center" valign="middle">0.737</td>
<td align="center" valign="middle">0.896 (0.473,1.698)</td>
</tr>
<tr>
<td align="left" valign="top" colspan="9">Nasal inner thickness</td>
</tr>
<tr>
<td align="left" valign="top">History of hypertension</td>
<td align="center" valign="middle">0.125</td>
<td align="center" valign="middle">1.528</td>
<td align="center" valign="middle">0.216</td>
<td align="center" valign="middle">1.133 (0.930,1.381)</td>
<td align="center" valign="middle">0.166</td>
<td align="center" valign="middle">0.681</td>
<td align="center" valign="middle">0.409</td>
<td align="center" valign="middle">1.181 (0.796,1.751)</td>
</tr>
<tr>
<td align="left" valign="top">History of COPD</td>
<td align="center" valign="middle">&#x2212;0.044</td>
<td align="center" valign="middle">0.048</td>
<td align="center" valign="middle">0.826</td>
<td align="center" valign="middle">0.957 (0.646,1.418)</td>
<td align="center" valign="middle">0.213</td>
<td align="center" valign="middle">0.361</td>
<td align="center" valign="middle">0.548</td>
<td align="center" valign="middle">1.237 (0.618,2.476)</td>
</tr>
<tr>
<td align="left" valign="top" colspan="9">Superior inner thickness</td>
</tr>
<tr>
<td align="left" valign="top">History of hypertension</td>
<td align="center" valign="middle">0.022</td>
<td align="center" valign="middle">0.051</td>
<td align="center" valign="middle">0.821</td>
<td align="center" valign="middle">1.022 (0.847,1.233)</td>
<td align="center" valign="middle">0.010</td>
<td align="center" valign="middle">0.003</td>
<td align="center" valign="middle">0.955</td>
<td align="center" valign="middle">1.010 (0.705,1.448)</td>
</tr>
<tr>
<td align="left" valign="top">History of COPD</td>
<td align="center" valign="middle">0.095</td>
<td align="center" valign="middle">0.263</td>
<td align="center" valign="middle">0.608</td>
<td align="center" valign="middle">1.100 (0.765,1.582)</td>
<td align="center" valign="middle">0.281</td>
<td align="center" valign="middle">0.779</td>
<td align="center" valign="middle">0.377</td>
<td align="center" valign="middle">1.325 (0.709,2.475)</td>
</tr>
<tr>
<td align="left" valign="top" colspan="9">Temporal outer thickness</td>
</tr>
<tr>
<td align="left" valign="top">History of hypertension</td>
<td align="center" valign="middle">0.143</td>
<td align="center" valign="middle">1.826</td>
<td align="center" valign="middle">0.177</td>
<td align="center" valign="middle">1.154 (0.938,1.421)</td>
<td align="center" valign="middle">0.046</td>
<td align="center" valign="middle">0.114</td>
<td align="center" valign="middle">0.736</td>
<td align="center" valign="middle">1.047 (0.801,1.369)</td>
</tr>
<tr>
<td align="left" valign="top">History of COPD</td>
<td align="center" valign="middle">0.249</td>
<td align="center" valign="middle">1.574</td>
<td align="center" valign="middle">0.210</td>
<td align="center" valign="middle">1.282 (0.869,1.892)</td>
<td align="center" valign="middle">0.212</td>
<td align="center" valign="middle">0.688</td>
<td align="center" valign="middle">0.407</td>
<td align="center" valign="middle">1.236 (0.749,2.038)</td>
</tr>
<tr>
<td align="left" valign="top" colspan="9">Inferior outer thickness</td>
</tr>
<tr>
<td align="left" valign="top">History of hypertension</td>
<td align="center" valign="middle">0.158</td>
<td align="center" valign="middle">1.494</td>
<td align="center" valign="middle">0.222</td>
<td align="center" valign="middle">1.171 (0.909,1.510)</td>
<td align="center" valign="middle">0.034</td>
<td align="center" valign="middle">0.089</td>
<td align="center" valign="middle">0.766</td>
<td align="center" valign="middle">1.035 (0.825,1.298)</td>
</tr>
<tr>
<td align="left" valign="top">History of COPD</td>
<td align="center" valign="middle">0.515</td>
<td align="center" valign="middle">5.305</td>
<td align="center" valign="middle">0.021&#x002A;</td>
<td align="center" valign="middle">1.673 (1.080,2.593)</td>
<td align="center" valign="middle">0.223</td>
<td align="center" valign="middle">1.019</td>
<td align="center" valign="middle">0.313</td>
<td align="center" valign="middle">1.250 (0.811,1.926)</td>
</tr>
<tr>
<td align="left" valign="top" colspan="9">Nasal outer thickness</td>
</tr>
<tr>
<td align="left" valign="top">History of hypertension</td>
<td align="center" valign="middle">0.211</td>
<td align="center" valign="middle">2.784</td>
<td align="center" valign="middle">0.095</td>
<td align="center" valign="middle">1.235 (0.964,1.582)</td>
<td align="center" valign="middle">0.027</td>
<td align="center" valign="middle">0.030</td>
<td align="center" valign="middle">0.862</td>
<td align="center" valign="middle">1.027 (0.759,1.390)</td>
</tr>
<tr>
<td align="left" valign="top">History of COPD</td>
<td align="center" valign="middle">&#x2212;0.090</td>
<td align="center" valign="middle">0.128</td>
<td align="center" valign="middle">0.720</td>
<td align="center" valign="middle">0.914 (0.560,1.493)</td>
<td align="center" valign="middle">0.179</td>
<td align="center" valign="middle">0.366</td>
<td align="center" valign="middle">0.545</td>
<td align="center" valign="middle">1.196 (0.670,2.137)</td>
</tr>
<tr>
<td align="left" valign="top" colspan="9">Superior outer thickness</td>
</tr>
<tr>
<td align="left" valign="top">History of hypertension</td>
<td align="center" valign="middle">0.251</td>
<td align="center" valign="middle">6.153</td>
<td align="center" valign="middle">0.013&#x002A;</td>
<td align="center" valign="middle">1.286 (1.054,1.568)</td>
<td align="center" valign="middle">&#x2212;0.195</td>
<td align="center" valign="middle">1.775</td>
<td align="center" valign="middle">0.183</td>
<td align="center" valign="middle">0.823 (0.618,1.096)</td>
</tr>
<tr>
<td align="left" valign="top">History of COPD</td>
<td align="center" valign="middle">&#x2212;0.075</td>
<td align="center" valign="middle">0.140</td>
<td align="center" valign="middle">0.708</td>
<td align="center" valign="middle">0.928 (0.628,1.372)</td>
<td align="center" valign="middle">0.083</td>
<td align="center" valign="middle">0.086</td>
<td align="center" valign="middle">0.769</td>
<td align="center" valign="middle">1.086 (0.625,1.887)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>&#x002A;All the above results were adjusted for the following variables: gender, age, history of alcohol consumption, history of coronary heart disease, history of diabetes mellitus, history of hyperlipidemia, 30 min of moderate-intensity exercise per week, weekly intake of vegetables and fruits, preference for salty food, and frequency of pickled food consumption.</p>
</table-wrap-foot>
</table-wrap>
<fig position="float" id="fig4">
<label>Figure 4</label>
<caption>
<p>Forest map (reference: normal thickness): multivariate logistics analysis of history of hypertension/COPD and retinal thickness. <bold>(A)</bold> History of hypertension (thinning thickness); <bold>(B)</bold> History of hypertension (thickening thickness); <bold>(C)</bold> History of COPD (thinning thickness); <bold>(D)</bold> History of COPD (thickening thickness).</p>
</caption>
<graphic xlink:href="fmed-13-1752515-g004.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Four forest plots labeled A, B, C, and D, showing odds ratios (OR) and ninety-five percent confidence intervals (CI) for retinal thinning and thickening. Plots A and C display thinning, while B and D show thickening. Each plot includes multiple markers representing different retinal regions: central, temporal inner and outer, inferior inner and outer, nasal inner and outer, and superior inner and outer. Red markers indicate significant findings, and black markers with horizontal lines show confidence intervals around the odds ratios.</alt-text>
</graphic>
</fig>
<table-wrap position="float" id="tab6">
<label>Table 6</label>
<caption>
<p>Multivariable linear analysis of diastolic blood pressure/ systolic blood pressure and retinal thickness.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">SBP</th>
<th align="center" valign="top"><italic>&#x03B2;</italic> (95% CI)</th>
<th align="center" valign="top"><italic>t</italic></th>
<th align="center" valign="top"><italic>p</italic></th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Central</td>
<td align="center" valign="middle">0.059 (&#x2212;0.024,0.142)</td>
<td align="center" valign="middle">1.390</td>
<td align="center" valign="middle">0.165</td>
</tr>
<tr>
<td align="left" valign="top">Temporal inner</td>
<td align="center" valign="middle">0.019 (&#x2212;0.050,0.088)</td>
<td align="center" valign="middle">0.540</td>
<td align="center" valign="middle">0.589</td>
</tr>
<tr>
<td align="left" valign="top">Inferior inner</td>
<td align="center" valign="middle">0.061 (&#x2212;0.006,0.128)</td>
<td align="center" valign="middle">1.788</td>
<td align="center" valign="middle">0.074</td>
</tr>
<tr>
<td align="left" valign="top">Nasal inner</td>
<td align="center" valign="middle">0.044 (&#x2212;0.022,0.109)</td>
<td align="center" valign="middle">1.308</td>
<td align="center" valign="middle">0.191</td>
</tr>
<tr>
<td align="left" valign="top">Superior inner</td>
<td align="center" valign="middle">0.023 (&#x2212;0.042,0.088)</td>
<td align="center" valign="middle">0.694</td>
<td align="center" valign="middle">0.488</td>
</tr>
<tr>
<td align="left" valign="top">Temporal outer</td>
<td align="center" valign="middle">&#x2212;0.008 (&#x2212;0.077,0.061)</td>
<td align="center" valign="middle">&#x2212;0.230</td>
<td align="center" valign="middle">0.818</td>
</tr>
<tr>
<td align="left" valign="top">Inferior outer</td>
<td align="center" valign="middle">0.013 (&#x2212;0.052,0.079)</td>
<td align="center" valign="middle">0.401</td>
<td align="center" valign="middle">0.688</td>
</tr>
<tr>
<td align="left" valign="top">Nasal outer</td>
<td align="center" valign="middle">0.016 (&#x2212;0.042,0.075)</td>
<td align="center" valign="middle">0.550</td>
<td align="center" valign="middle">0.582</td>
</tr>
<tr>
<td align="left" valign="top">Superior outer</td>
<td align="center" valign="middle">&#x2212;0.023 (&#x2212;0.085,0.038)</td>
<td align="center" valign="middle">&#x2212;0.740</td>
<td align="center" valign="middle">0.460</td>
</tr>
<tr>
<td align="left" valign="top" colspan="4">DBP</td>
</tr>
<tr>
<td align="left" valign="top">Central</td>
<td align="center" valign="middle">0.128 (&#x2212;0.010,0.265)</td>
<td align="center" valign="middle">1.815</td>
<td align="center" valign="middle">0.070</td>
</tr>
<tr>
<td align="left" valign="top">Temporal inner</td>
<td align="center" valign="middle">0.194 (0.080,0.308)</td>
<td align="center" valign="middle">3.332</td>
<td align="center" valign="middle">&#x003C;0.001&#x002A;</td>
</tr>
<tr>
<td align="left" valign="top">Inferior inner</td>
<td align="center" valign="middle">0.202 (0.091,0.313)</td>
<td align="center" valign="middle">3.571</td>
<td align="center" valign="middle">&#x003C;0.001&#x002A;</td>
</tr>
<tr>
<td align="left" valign="top">Nasal inner</td>
<td align="center" valign="middle">0.169 (0.061,0.277)</td>
<td align="center" valign="middle">3.057</td>
<td align="center" valign="middle">0.002&#x002A;</td>
</tr>
<tr>
<td align="left" valign="top">Superior inner</td>
<td align="center" valign="middle">0.187 (0.078,0.295)</td>
<td align="center" valign="middle">3.384</td>
<td align="center" valign="middle">&#x003C;0.001&#x002A;</td>
</tr>
<tr>
<td align="left" valign="top">Temporal outer</td>
<td align="center" valign="middle">0.028 (&#x2212;0.087,0.142)</td>
<td align="center" valign="middle">0.476</td>
<td align="center" valign="middle">0.634</td>
</tr>
<tr>
<td align="left" valign="top">Inferior outer</td>
<td align="center" valign="middle">&#x2212;0.025 (&#x2212;0.133,0.083)</td>
<td align="center" valign="middle">&#x2212;0.452</td>
<td align="center" valign="middle">0.652</td>
</tr>
<tr>
<td align="left" valign="top">Nasal outer</td>
<td align="center" valign="middle">0.036 (&#x2212;0.061,0.133)</td>
<td align="center" valign="middle">0.724</td>
<td align="center" valign="middle">0.469</td>
</tr>
<tr>
<td align="left" valign="top">Superior outer</td>
<td align="center" valign="middle">0.034 (&#x2212;0.068,0.136)</td>
<td align="center" valign="middle">0.656</td>
<td align="center" valign="middle">0.512</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>&#x002A;&#x002A;All the above results were adjusted for the following variables: gender, age, history of COPD, history of alcohol consumption, history of coronary heart disease, history of diabetes mellitus, history of hyperlipidemia, 30 min of moderate-intensity exercise per week, weekly intake of vegetables and fruits, preference for salty food, and frequency of pickled food consumption.</p>
</table-wrap-foot>
</table-wrap>
<table-wrap position="float" id="tab7">
<label>Table 7</label>
<caption>
<p>Multivariablelinear analysis of diastolic blood pressure/ systolic blood pressure and retinal thickness among hypertensive participants taking antihypertensive drugs.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">SBP</th>
<th align="center" valign="top"><italic>&#x03B2;</italic> (95% CI)</th>
<th align="center" valign="top"><italic>t</italic></th>
<th align="center" valign="top"><italic>p</italic></th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Central</td>
<td align="center" valign="middle">0.021 (&#x2212;0.126,0.168)</td>
<td align="center" valign="middle">0.282</td>
<td align="center" valign="middle">0.778</td>
</tr>
<tr>
<td align="left" valign="top">Temporal inner</td>
<td align="center" valign="middle">&#x2212;0.102 (&#x2212;0.222,0.017)</td>
<td align="center" valign="middle">&#x2212;1.677</td>
<td align="center" valign="middle">0.094</td>
</tr>
<tr>
<td align="left" valign="top">Inferior inner</td>
<td align="center" valign="middle">&#x2212;0.002 (&#x2212;0.123,0.118)</td>
<td align="center" valign="middle">&#x2212;0.040</td>
<td align="center" valign="middle">0.968</td>
</tr>
<tr>
<td align="left" valign="top">Nasal inner</td>
<td align="center" valign="middle">&#x2212;0.037 (&#x2212;0.151,0.076)</td>
<td align="center" valign="middle">&#x2212;0.645</td>
<td align="center" valign="middle">0.519</td>
</tr>
<tr>
<td align="left" valign="top">Superior inner</td>
<td align="center" valign="middle">&#x2212;0.037 (&#x2212;0.151,0.076)</td>
<td align="center" valign="middle">&#x2212;0.645</td>
<td align="center" valign="middle">0.519</td>
</tr>
<tr>
<td align="left" valign="top">Temporal outer</td>
<td align="center" valign="middle">&#x2212;0.135 (&#x2212;0.239,-0.030)</td>
<td align="center" valign="middle">&#x2212;2.529</td>
<td align="center" valign="middle">0.012&#x002A;</td>
</tr>
<tr>
<td align="left" valign="top">Inferior outer</td>
<td align="center" valign="middle">&#x2212;0.056 (&#x2212;0.164,0.051)</td>
<td align="center" valign="middle">&#x2212;1.027</td>
<td align="center" valign="middle">0.305</td>
</tr>
<tr>
<td align="left" valign="top">Nasal outer</td>
<td align="center" valign="middle">&#x2212;0.054 (&#x2212;0.140,0.033)</td>
<td align="center" valign="middle">&#x2212;1.221</td>
<td align="center" valign="middle">0.222</td>
</tr>
<tr>
<td align="left" valign="top">Superior outer</td>
<td align="center" valign="middle">&#x2212;0.082 (&#x2212;0.180,0.015)</td>
<td align="center" valign="middle">&#x2212;1.655</td>
<td align="center" valign="middle">0.098</td>
</tr>
<tr>
<td align="left" valign="top" colspan="4">DBP</td>
</tr>
<tr>
<td align="left" valign="top">Central</td>
<td align="center" valign="middle">0.038 (&#x2212;0.219,0.295)</td>
<td align="center" valign="middle">0.287</td>
<td align="center" valign="middle">0.774</td>
</tr>
<tr>
<td align="left" valign="top">Temporal inner</td>
<td align="center" valign="middle">0.068 (&#x2212;0.141,0.278)</td>
<td align="center" valign="middle">0.641</td>
<td align="center" valign="middle">0.522</td>
</tr>
<tr>
<td align="left" valign="top">Inferior inner</td>
<td align="center" valign="middle">0.148 (&#x2212;0.063,0.358)</td>
<td align="center" valign="middle">1.377</td>
<td align="center" valign="middle">0.169</td>
</tr>
<tr>
<td align="left" valign="top">Nasal inner</td>
<td align="center" valign="middle">0.197 (&#x2212;0.002,0.396)</td>
<td align="center" valign="middle">1.938</td>
<td align="center" valign="middle">0.053</td>
</tr>
<tr>
<td align="left" valign="top">Superior inner</td>
<td align="center" valign="middle">0.209 (0.019,0.398)</td>
<td align="center" valign="middle">2.162</td>
<td align="center" valign="middle">0.031&#x002A;</td>
</tr>
<tr>
<td align="left" valign="top">Temporal outer</td>
<td align="center" valign="middle">&#x2212;0.040 (&#x2212;0.224,0.143)</td>
<td align="center" valign="middle">&#x2212;0.429</td>
<td align="center" valign="middle">0.668</td>
</tr>
<tr>
<td align="left" valign="top">Inferior outer</td>
<td align="center" valign="middle">&#x2212;0.166 (&#x2212;0.355,0.022)</td>
<td align="center" valign="middle">&#x2212;1.734</td>
<td align="center" valign="middle">0.083</td>
</tr>
<tr>
<td align="left" valign="top">Nasal outer</td>
<td align="center" valign="middle">0.047 (&#x2212;0.104,0.198)</td>
<td align="center" valign="middle">0.611</td>
<td align="center" valign="middle">0.541</td>
</tr>
<tr>
<td align="left" valign="top">Superior outer</td>
<td align="center" valign="middle">0.089 (&#x2212;0.082,0.260)</td>
<td align="center" valign="middle">1.021</td>
<td align="center" valign="middle">0.307</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>&#x002A;&#x002A;All the above results were adjusted for the following variables: gender, age, history of COPD, history of alcohol consumption, history of coronary heart disease, history of diabetes mellitus, history of hyperlipidemia, 30 min of moderate-intensity exercise per week, weekly intake of vegetables and fruits, preference for salty food, and frequency of pickled food consumption.</p>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec sec-type="discussion" id="sec12">
<label>4</label>
<title>Discussion</title>
<p>In recent years, studies have found that as an extension of the central nervous system, the retinal thickness changes could reflect the health status of the nervous system and the whole body (<xref ref-type="bibr" rid="ref24">24</xref>). RT is not an isolated indicator. It integrates and reflects the combined effects of multiple influencing factors. For instance, vascular factors (such as hypertensive retinopathy) cause leakage or ischemia; inflammatory factors damage the blood-retinal barrier and induce fluid accumulation; neurodegenerative factors (such as glaucoma and Alzheimer&#x2019;s disease) lead to the loss of the ganglion cell layer; and age-related and genetic factors also exert an impact on RT within a certain range. Investigating the influencing factors of RT essentially involves exploring the ultimate manifestation of the interactions among the aforementioned multiple systems, including vascular, neurological, inflammatory, and genetic systems (<xref ref-type="bibr" rid="ref24 ref25 ref26 ref27">24&#x2013;27</xref>).</p>
<p>Consistent with previous studies (<xref ref-type="bibr" rid="ref28">28</xref>), we found that increasing age is associated with retinal thinning. This phenomenon is primarily attributed to age-related neuronal loss, gliosis, and degeneration of the retinal pigment epithelium (RPE) layer. These processes lead to cell apoptosis and structural atrophy, which in turn accelerate local microcirculatory disturbances and impaired metabolic function. Among these regions, the central region&#x2014;being a macular area with high neuronal density&#x2014;is more susceptible to accumulated oxidative stress, resulting in significant thinning.</p>
<p>Our findings indicate that in multivariable logistics regression model history of hypertension serves as an independent risk factor for retinal thinning in the inner temporal and superior outer regions, while COPD independently contributes to thinning in the inferior outer region. Notably, stratification by hypertension status revealed no association between COPD and retinal thickness across any regions in the hypertensive subgroup, whereas in the non-hypertensive subgroup, COPD was significantly linked to thinning in the central, inner nasal, inferior outer, and outer nasal regions (chi-square analysis). These observations underscore a potential interaction wherein hypertension may modulate COPD&#x2019;s ocular effects. Focusing on COPD&#x2019;s influence on retinal thickness, our results align with emerging evidence that COPD was associated with reduced retinal nerve fiber layer (RNFL) thickness, correlating with disease severity and hypoxemia levels, as detected via OCT. (<xref ref-type="bibr" rid="ref3">3</xref>, <xref ref-type="bibr" rid="ref29">29</xref>) These changes likely stem from hypoxia-induced neuronal damage and vascular remodeling, disproportionately affecting outer retinal zones where oxygen demand is high (<xref ref-type="bibr" rid="ref30">30</xref>). Furthermore, COPD&#x2019;s microvascular retinopathy persists even after adjusting for comorbidities like hypertension, suggesting an intrinsic pathological pathway.</p>
<p>The stratified analysis highlights a novel interaction: COPD&#x2019;s impact on retinal thickness appears confined to non-hypertensive individuals, potentially due to hypertension&#x2019;s dominant vascular pathology overshadows COPD-related effects in comorbid cases. This could reflect additive or synergistic mechanisms in isolated COPD, where unmasked hypoxemia drives regional thinning, versus a ceiling effect in hypertensive patients with pre-existing endothelial impairment (<xref ref-type="bibr" rid="ref31">31</xref>, <xref ref-type="bibr" rid="ref32">32</xref>). COPD and hypertension may synergistically affect retinal thickness through chronic hypoxia, systemic inflammation, and vascular endothelial dysfunction, collectively exacerbating microcirculatory impairment and neurodegeneration in specific retinal regions (<xref ref-type="bibr" rid="ref20">20</xref>, <xref ref-type="bibr" rid="ref29">29</xref>).</p>
<p>Beyond the above findings, this study focused on the impact of hypertension on RT. After adjusting for lifestyle and medical history factors&#x2014;including gender, age, alcohol consumption history, history of coronary heart disease, history of diabetes, history of hyperlipidemia, 30-min moderate-intensity exercise per week, weekly intake of fruits and vegetables, preference for salty food, and regular consumption of pickled foods&#x2014;we found that participants with a previous history of hypertension were prone to thinning in the temporal inner region and superior outer region. Furthermore, based on further measurements of participants&#x2019; daily blood pressure, DBP was positively correlated with the thickness of the inner retinal region, while its impact on other retinal regions was not statistically significant. In contrast, SBP had no statistically significant effect on any retinal region. This indicated that a previous history of hypertension only induces changes in RT in specific regions. In contrast, daily blood pressure control&#x2014;particularly of DBP rather than SBP&#x2014;was associated with RT, especially in the inner retinal region. This provides guidance for retinal protection in patients with hypertension.</p>
<p>Patients with hypertension exhibit relatively lower vascular density (<xref ref-type="bibr" rid="ref33">33</xref>). Retinal microvascular stenosis may increase microcirculatory resistance, cause impaired autoregulation of retinal blood flow, reduce microvascular blood flow, and easily lead to insufficient perfusion of the optic nerve, thereby resulting in retinal ischemia (<xref ref-type="bibr" rid="ref34">34</xref>). Meanwhile, chronic elevated blood pressure induces retinal microvascular remodeling, endothelial damage, and local ischemia-hypoxia. These processes accelerate the degenerative changes of the outer plexiform layer, photoreceptor layer, and RPE, leading to cell apoptosis and structural atrophy, which further thin the retina. Retinal thinning may in turn reduce the oxygen consumption and blood flow of retinal blood vessels, triggering a vicious cycle of retinal structural atrophy and functional impairment (<xref ref-type="bibr" rid="ref22">22</xref>). Previous studies have also found that long-term hypertension is associated with reduced retinal blood flow and thinning of the ganglion cell-inner plexiform layer (GC-IPL), RNFL, and other layers (<xref ref-type="bibr" rid="ref33">33</xref>, <xref ref-type="bibr" rid="ref35">35</xref>, <xref ref-type="bibr" rid="ref36">36</xref>). This is consistent with our finding that participants with a history of hypertension showed thinning in the temporal inner region and superior outer region.</p>
<p>Our study found that a history of hypertension is a potential risk factor for thinning of the temporal inner and superior outer retina. Further assessment of daily blood pressure revealed that, compared with the limited effect of SBP on RT, DBP exerts an impact on the thickness of the inner retina across the entire macular region. DBP reflects the sustained pressure load on vascular walls during diastole and regulates continuous perfusion levels and basal vascular tone (<xref ref-type="bibr" rid="ref37">37</xref>). The central retinal artery and its branches are classified as small-to-medium arteries and capillaries, which have thin vessel walls and weak regulatory capacity. In contrast, choroidal vessels belong to a &#x201C;large vessel-sinusoidal capillary&#x201D; system, characterized by thicker walls, larger diameters, and regulation by the autonomic nervous system and local metabolic factors. These features enable choroidal vessels to rapidly buffer blood pressure fluctuations through self-constriction and dilation (<xref ref-type="bibr" rid="ref38">38</xref>, <xref ref-type="bibr" rid="ref39">39</xref>). Among different retinal regions based on the ETDRS 9-field grid, the inner retina relies on blood supply from the central retinal artery. Its vascular structure is more susceptible to systemic blood pressure fluctuations than the outer retina (which depends on choroidal perfusion) and the avascular foveal center. The core cells in the foveal center are cone cells, whose metabolic needs primarily rely on oxygen and nutrients supplied by the choroid. The key cell layers in the inner retina include the nerve fiber layer, inner nuclear layer, and M&#x00FC;ller glial cells, while those in the outer retina consist of the photoreceptor layer and RPE layer. Therefore, the cell layers of the foveal center and outer retina lack the conditions to be affected by DBP (<xref ref-type="bibr" rid="ref40">40</xref>, <xref ref-type="bibr" rid="ref41">41</xref>). The nerve fiber layer and ganglion cell layer in the inner retina are sensitive to hypoxia and oxidative stress. Elevated DBP can increase vascular permeability, leading to leakage of plasma components into the interstitial space and subsequent thickening. Meanwhile, retinal arteriolosclerosis reduces blood perfusion, prompting local compensatory thickening to maintain function. Sustained mechanical stress and ischemia-hypoxia further stimulate the proliferation of glial cells (e.g., M&#x00FC;ller cells), which exacerbates inner retinal thickening (<xref ref-type="bibr" rid="ref42">42</xref>, <xref ref-type="bibr" rid="ref43">43</xref>). SBP primarily reflects peak arterial pressure, and its elevation lasts only 0.2&#x2013;0.3&#x202F;s. This short-term peak cannot trigger cellular compensatory responses, resulting in a minimal independent contribution to chronic retinal structural changes. Thus, the effect of SBP is often masked by factors such as age, lifestyle, and comorbidities, leading to no significant linear association (<xref ref-type="bibr" rid="ref44">44</xref>, <xref ref-type="bibr" rid="ref45">45</xref>). Both the central retinal artery and choroidal vessels possess myogenic autoregulatory capacity. In addition to myogenic regulation, choroidal vessels are also controlled by the autonomic nervous system and local metabolic factors. When SBP increases, the smooth muscles of the supplying arteries rapidly adjust blood flow through relaxation or contraction, thereby reducing the actual intravascular perfusion pressure. This mechanism ensures stable perfusion and prevents vascular damage or edema caused by sudden increases in blood flow (<xref ref-type="bibr" rid="ref44">44</xref>, <xref ref-type="bibr" rid="ref46">46</xref>).</p>
<p>However, in other studies, elevated DBP often exhibits a negative correlation with the thickness of most retinal neural layers, including the RNFL, GCL, and outer segments of photoreceptors (POS). This is likely due to vasospasm and neuronal loss under high pressure dominating degenerative changes. In contrast, DBP shows a positive correlation with the thickness of the inner nuclear layer (INL), possibly resulting from inflammatory thickening of bipolar cells and glial cells in the INL that serves as a protective response (<xref ref-type="bibr" rid="ref47">47</xref>). The positive correlation observed in this study may reflect the comprehensive effect on total RT, in which the positive contribution of the INL predominates in the multivariable model, masking the negative effects of other layers. This discrepancy may be attributed to differences in measurement methods between OCT-based measurements of total thickness in segmented regions and neural layer-specific analysis, which requires further verification.</p>
<p>In participants with a history of hypertension who were taking antihypertensive medications, the impact of blood pressure on inner retinal thickness was generally significantly limited. Antihypertensive medications protect the retina from chronic high-pressure damage by reducing overall blood pressure load, improving vascular compliance, and mitigating oxidative stress. The superior inner region has higher vascular density and blood flow, making it more sensitive to short-term variability in DBP (<xref ref-type="bibr" rid="ref48">48</xref>). Even if medications control average blood pressure, residual fluctuations may still affect the microcirculation in this region, leading to tissue thickening. Compared with other regions, the vascular walls in the superior inner region may be more prone to remodeling (<xref ref-type="bibr" rid="ref49">49</xref>, <xref ref-type="bibr" rid="ref50">50</xref>), which manifests as a positive correlation rather than a negative one in treated patients. The retinal vascular distribution in the temporal outer region is relatively sparse, making it more vulnerable to high pressure-induced local ischemia or oxidative stress. Chronic atrophy of nerve fibers results in reduced thickness. Although antihypertensive medications reduce overall blood pressure load, they cannot completely eliminate the residual effects of chronic hypertension on local microcirculation, ultimately leading to a negative correlation between blood pressure and thickness in this region (<xref ref-type="bibr" rid="ref44">44</xref>). Elevated DBP showed a positive correlation only in the superior inner region, with no significant impact observed in other regions. This indicates that the potential negative effects of elevated DBP are attenuated and confined to specific local areas. Similarly, SBP exhibited a negative correlation only in the temporal outer region, with no obvious association detected in other sites. Overall, these findings highlight the protective role of antihypertensive therapy in alleviating the impact of blood pressure on retinal structure, reducing the global effect of blood pressure changes on the retina to specific anatomical regions.</p>
<p>This study also has several limitations. First, the study sample was derived from a single center and employed a cross-sectional design. Consequently, it can only identify associations rather than establish causality. Although we adjusted for multiple demographic and clinical confounders in the analysis, the single-center design may still limit the direct generalizability of our conclusions to other regions or broader populations due to factors such as regional demographic composition, genetic background, environmental exposures, and healthcare practices. Future multi-center, large-sample prospective studies are needed to further validate and extend our findings. Second, a notable limitation of this study is the lack of detailed information on the class, dosage, and duration of antihypertensive medications. Growing evidence suggests that different classes of antihypertensive agents (e.g., calcium channel blockers, ACE inhibitors/angiotensin receptor blockers, <italic>&#x03B2;</italic>-blockers) exert distinct effects on retinal vessel diameter, blood flow, and retinal nerve fiber layer thickness. Future studies will systematically collect these medication details and conduct subgroup analyses to elucidate the specific impact of different antihypertensive drug classes and dosages on retinal structure and function. This would provide more precise ophthalmological evidence for personalized management of hypertensive patients. Tirdly, this study has mentioned limitations including single-center setting, cross-sectional design, and lack of detailed information on antihypertensive medications. It is recommended to further supplement: The study did not include COPD severity classification (e.g., GOLD grade) and pulmonary function indicators (e.g., FEV1/FVC), making it impossible to clarify the dose&#x2013;response relationship between COPD progression and retinal thickness.</p>
<p>This study holds great significance. It analyzed the differential effects of a history of hypertension, SBP, and DBP on the thickness of the nine retinal regions using multivariable linear and multivariable logistic regression analyses. Given the limited availability of ophthalmic examination equipment in settings such as community screenings, and considering that previous studies have focused on the impact of hypertension on individual retinal layers, this study centered on the relationship between total RT and hypertension. It revealed the independent positive correlation effect of DBP and further suggested that the use of antihypertensive medications can restrict this positive correlation. This finding not only deepens the understanding of the microscopic ocular effects of hypertension but also highlights the value of refined blood pressure assessment in preventing eye diseases. Furthermore, it provides new insights for community screening and the prevention of ocular disorders.</p>
</sec>
<sec sec-type="conclusions" id="sec13">
<label>5</label>
<title>Conclusion</title>
<p>The study found that a history of hypertension is a potential risk factor for thinning of the temporal inner and superior outer retina. COPD and hypertension are independent risk factors for changes in retinal thickness, with heterogeneous effects across different retinal regions. Further evaluation of daily blood pressure levels revealed that, compared with the limited impact of SBP on RT, DBP exhibits a positive correlation with the thickness of the inner region of the entire macular region. In the subgroup of participants with a history of hypertension who were taking antihypertensive medications, the impact of DBP on inner retinal thickness was only observed in its positive correlation with the thickness of the inferior inner region. This indicates that elevated DBP affects the thickness of the inner retinal region, but this potential positive effect is attenuated after the use of antihypertensive medications and confined to specific local regions. It provides new insights into the impact of hypertension prevention and management on the retinal and optic nerve in the eye.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="sec14">
<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="sec15">
<title>Ethics statement</title>
<p>The studies involving humans were approved by Shanghai Tenth People&#x2019;s Hospital Ethics Committee. The studies were conducted in accordance with the local legislation and institutional requirements. Written informed consent for participation was not required from the participants or the participants&#x2019; legal guardians/next of kin in accordance with the national legislation and institutional requirements.</p>
</sec>
<sec sec-type="author-contributions" id="sec16">
<title>Author contributions</title>
<p>DY: Resources, Project administration, Formal analysis, Data curation, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing, Software, Methodology, Investigation, Funding acquisition. CH: Writing &#x2013; review &#x0026; editing, Investigation, Formal analysis, Data curation. CR: Writing &#x2013; review &#x0026; editing, Methodology, Investigation, Formal analysis, Data curation. MZ: Writing &#x2013; review &#x0026; editing, Conceptualization, Validation, Formal analysis, Methodology. RL: Validation, Data curation, Methodology, Writing &#x2013; original draft, Resources. YW: Investigation, Formal analysis, Funding acquisition, Writing &#x2013; review &#x0026; editing, Supervision. ZW: Resources, Writing &#x2013; original draft, Data curation, Investigation. TS: Validation, Formal analysis, Visualization, Methodology, Writing &#x2013; original draft. TL: Supervision, Methodology, Writing &#x2013; review &#x0026; editing, Formal analysis. WC: Funding acquisition, Formal analysis, Supervision, Writing &#x2013; review &#x0026; editing. JY: Funding acquisition, Formal analysis, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing, Supervision, Investigation, Validation, Methodology.</p>
</sec>
<sec sec-type="COI-statement" id="sec17">
<title>Conflict of interest</title>
<p>The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
<p>The handling editor DY declared a shared parent affiliation with the author JY at the time of review.</p>
</sec>
<sec sec-type="ai-statement" id="sec18">
<title>Generative AI statement</title>
<p>The author(s) declared that Generative AI was not 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="sec19">
<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="sec20">
<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/fmed.2026.1752515/full#supplementary-material" ext-link-type="uri">https://www.frontiersin.org/articles/10.3389/fmed.2026.1752515/full#supplementary-material</ext-link></p>
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<supplementary-material xlink:href="Image_1.JPEG" id="SM1" mimetype="image/jpeg" xmlns:xlink="http://www.w3.org/1999/xlink"/>
<supplementary-material xlink:href="Image_2.JPEG" id="SM2" mimetype="image/jpeg" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
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<fn-group>
<fn fn-type="custom" custom-type="edited-by" id="fn0001"><p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1876839/overview">Dawei Yang</ext-link>, Zhongshan Hospital, Fudan University, China</p></fn>
<fn fn-type="custom" custom-type="reviewed-by" id="fn0002"><p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1669326/overview">Yuan Liu</ext-link>, University of Miami Health System, United States</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1839250/overview">Yiqiang Zhan</ext-link>, Sun Yat-sen University, China</p></fn>
</fn-group>
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