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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Oncol.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Oncology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Oncol.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2234-943X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fonc.2026.1734601</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>Association between cancer and cardiovascular disease risk: a cross-sectional study of 241,064 individuals</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Zhu</surname><given-names>Lianmin</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author">
<name><surname>Zhou</surname><given-names>Wenqing</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<contrib contrib-type="author">
<name><surname>Yang</surname><given-names>Yukang</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
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<contrib contrib-type="author">
<name><surname>Rao</surname><given-names>Huan</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
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<contrib contrib-type="author">
<name><surname>Liu</surname><given-names>Yizhi</given-names></name>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
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<contrib contrib-type="author" corresp="yes">
<name><surname>Rao</surname><given-names>Yunwei</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>*</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/3259652/overview"/>
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<aff id="aff1"><label>1</label><institution>Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Gannan Medical University</institution>, <city>Ganzhou</city>,&#xa0;<country country="cn">China</country></aff>
<aff id="aff2"><label>2</label><institution>Department of Emergency, The People&#x2019;s Hospital of Wanzai County</institution>, <city>Yichun</city>,&#xa0;<country country="cn">China</country></aff>
<aff id="aff3"><label>3</label><institution>Graduate School, Gannan Medical University</institution>, <city>Ganzhou</city>,&#xa0;<country country="cn">China</country></aff>
<aff id="aff4"><label>4</label><institution>Department of Internal Medicine, Zhangshu People&#x2019;s Hospital</institution>, <city>Yichun</city>,&#xa0;<country country="cn">China</country></aff>
<aff id="aff5"><label>5</label><institution>The First Clinical Medical College, Gannan Medical University</institution>, <city>Ganzhou</city>,&#xa0;<country country="cn">China</country></aff>
<author-notes>
<corresp id="c001"><label>*</label>Correspondence: Yunwei Rao, <email xlink:href="mailto:15970090129@163.com">15970090129@163.com</email></corresp>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-02-04">
<day>04</day>
<month>02</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2026</year>
</pub-date>
<volume>16</volume>
<elocation-id>1734601</elocation-id>
<history>
<date date-type="received">
<day>29</day>
<month>10</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>15</day>
<month>01</month>
<year>2026</year>
</date>
<date date-type="rev-recd">
<day>30</day>
<month>12</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2026 Zhu, Zhou, Yang, Rao, Liu and Rao.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Zhu, Zhou, Yang, Rao, Liu and Rao</copyright-holder>
<license>
<ali:license_ref start_date="2026-02-04">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>Advances in cancer therapy have improved survival, yielding a larger population of cancer survivors, with cardiovascular disease (CVD) becoming a major chronic health issue among them. However, the association between cancer and CVD risk remains unclear.</p>
</sec>
<sec>
<title>Methods</title>
<p>This study conducted a cross-sectional analysis utilizing 2023 United States Behavioral Risk Factor Surveillance System (BRFSS) data. Propensity score matching (PSM) balanced the observed covariates between the cancer and non-cancer groups. Univariate and multivariate logistic regression were employed to examine the relationship between cancer history and CVD. Subgroup analyses evaluated this association across different populations. Finally, univariate and multivariate logistic regression identified CVD risk factors among cancer survivors.</p>
</sec>
<sec>
<title>Results</title>
<p>Before PSM, CVD prevalence was 20.7% in cancer patients, significantly higher than 10.7% in non-cancer individuals. Multivariate logistic regression revealed that cancer remains positively associated with CVD risk even after adjusting covariates (OR = 1.16, 95% CI: 1.12-1.20, P &lt; 0.001). Analysis after 1:2 PSM further validated this association: The prevalence of CVD was higher in the cancer group than in the matched control group (20.7% vs. 18.2%; OR = 1.14, 95% CI: 1.10&#x2013;1.18, P &lt; 0.001). Except for diabetes and chronic kidney disease (CKD) subgroups, most subgroups of cancer are positively associated with CVD risk (OR &gt; 1, P &lt; 0.05). Among cancer survivors, advanced age, comorbidities (hypertension, diabetes, CKD), depression, and smoking were significantly positively associated with CVD risk, while female sex, aerobic physical activity, and higher income were significantly negatively associated with cardiovascular disease risk.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>There is a significant positive correlation between cancer and CVD risk, indicating that CVD risk assessment and prevention efforts for cancer survivors should be strengthened.</p>
</sec>
</abstract>
<kwd-group>
<kwd>behavioral risk factor surveillance system</kwd>
<kwd>cancer survivors</kwd>
<kwd>cardiovascular disease</kwd>
<kwd>cross-sectional study</kwd>
<kwd>risk factors</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declared that financial support was not received for this work and/or its publication.</funding-statement>
</funding-group>
<counts>
<fig-count count="6"/>
<table-count count="3"/>
<equation-count count="0"/>
<ref-count count="48"/>
<page-count count="16"/>
<word-count count="6444"/>
</counts>
<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Cardio-Oncology</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>Cardiovascular disease (CVD) constitutes the primary cause of death worldwide. Its high incidence, mortality, and complex pathological subtypes, impose a significant burden on healthcare services and on society (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B2">2</xref>). Global Burden of Disease 2022 assessment reveals notable regional variation in age-standardized CVD mortality (73.6 per 100,000 in high-income Asia Pacific to 432.3 per 100,000 in Eastern Europe). Despite a 34.9% global decline in age-standardized CVD mortality over the past three decades due to therapeutic advances (<xref ref-type="bibr" rid="B3">3</xref>), the absolute number of CVD deaths has risen substantially due to population growth, placing immense pressure on healthcare systems (<xref ref-type="bibr" rid="B4">4</xref>). Preventing CVD is therefore critically important for global public health.</p>
<p>Cancer is the second major cause of death in the world, imposing a substantial and expanding global burden. In 2022, about 20,000,000 new cancer cases and 9,700,000 cancer deaths worldwide (<xref ref-type="bibr" rid="B5">5</xref>). Advances in screening methods and treatment technologies have reduced mortality, extended survival, and contributed to the continued increase in the number of cancer survivors worldwide (<xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B7">7</xref>). This extended survival has shifted focus to managing non-cancer-related comorbidities, particularly given the high risk of CVD mortality in cancer patients (<xref ref-type="bibr" rid="B8">8</xref>). Cancer and CVD, two major causes of death, have long been primary focal points of health research, with previous studies reporting shared pathophysiological mechanisms (<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B10">10</xref>). However, cancer remains a subject of debate regarding its association with an increased risk of CVD (<xref ref-type="bibr" rid="B11">11</xref>).</p>
<p>It is plausible that cancer survivors experience an elevated risk of CVD owing to shared risk factors, including advanced age, hyperglycemia, hypertension, dyslipidemia, and obesity (<xref ref-type="bibr" rid="B12">12</xref>). Furthermore, cancer therapies, including radiotherapy, anthracycline chemotherapy, immunotherapy, can induce cardiotoxicity by directly damaging vascular endothelium or cardiomyocytes, exacerbating cardiovascular injury (<xref ref-type="bibr" rid="B13">13</xref>). Nevertheless, other studies have found lower CVD risk in specific cancer survivor groups, such as gastric cancer survivors or those with localized prostate cancer (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B15">15</xref>). These conflicting findings challenge the consistency of the cancer-survivorship&#x2013;CVD risk association. It is necessary to conduct a thorough, systematic study to ascertain whether cancer survivors indeed face a higher CVD risk.</p>
<p>Given the complex and debated interplay between cancer and CVD, this study utilized datasets of the US Behavioral Risk Factor Surveillance System (BRFSS). Propensity score matching (PSM) was applied to address potential confounding factors. This study addresses three research questions: (1) Is a history of cancer independently associated with CVD risk? (2) Does this association exhibit heterogeneity across different demographic and clinical subgroups? (3) Which groups of cancer survivors face a high risk of CVD? and which modifiable factors might prevent it? The findings provide crucial evidence for cardiovascular risk stratification and targeted prevention in cancer survivors.</p>
</sec>
<sec id="s2">
<title>Methods</title>
<sec id="s2_1">
<title>Data source</title>
<p>This study utilized data from the BRFSS database, a nationwide health behavior and chronic disease surveillance system coordinated by the US CDC. Data were collected via telephone surveys and are widely used for public health decision-making and research (<xref ref-type="bibr" rid="B16">16</xref>). This study utilized data from 433,323 respondents surveyed in 2023, including health-related behaviors, chronic health conditions, and utilization of preventive services. As BRFSS data are publicly available and de-identified (<ext-link ext-link-type="uri" xlink:href="https://www.cdc.gov/brfss">https://www.cdc.gov/brfss</ext-link>), no Institutional Review Board approval is required.</p>
</sec>
<sec id="s2_2">
<title>Data inclusion and exclusion criteria</title>
<p>Respondents aged &#x2265; 18 years with complete data from the 2023 BRFSS were included. Those with missing information on cancer status, CVD status, or key covariates were excluded. The detailed participant filtering process is shown in <xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1</bold></xref>.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>The flowchart of study participant screening.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-16-1734601-g001.tif">
<alt-text content-type="machine-generated">Flowchart depicting participant selection from the Behavioral Risk Factor Surveillance System database in 2023. Out of 433,323 participants, 192,259 were excluded due to missing cancer status (4,938), missing cardiovascular disease status (2,337), and incomplete information (184,984). Complete data included 241,064 participants, divided into those with cancer (30,987) and without a history of cancer (210,077). Participants were matched using propensity scores at a ratio of one to two, resulting in 30,987 participants with cancer and 61,936 without cancer.</alt-text>
</graphic></fig>
</sec>
<sec id="s2_3">
<title>Study variables and outcomes</title>
<p>Key covariates included: (I) Demographic characteristics: age, sex, race, body mass index (BMI), marital status, residence; (II) Socioeconomic characteristics: educational attainment, income level; (III) Health status: history of stroke, dyslipidemia, hypertension, diabetes mellitus, chronic kidney disease (CKD), depression; (IV) Lifestyle factors: smoking status, Physical Activity Index (aerobic activity). The primary exposure variable was cancer status, defined by a positive response to the BRFSS question: &#x201c;Have you ever been told by a doctor that you had melanoma or any other type of cancer?&#x201d;. CVD status, defined as a composite endpoint comprising coronary heart disease, angina or coronary artery disease, myocardial infarction, or stroke, is the primary outcome measure.</p>
</sec>
<sec id="s2_4">
<title>Statistical analysis</title>
<p>Participants were categorized into non-cancer and cancer groups based on their cancer status. PSM was performed to match cancer cases to non-cancer controls in a 1:2 ratio (method = &#x201c;nearest&#x201d;, distance = &#x201c;logit&#x201d;, caliper = 0.1). Matching effectiveness was systematically assessed using standardized mean differences (SMD) and other metrics (<xref ref-type="bibr" rid="B17">17</xref>). Univariate and multivariate logistic regression were employed to evaluate the correlation between cancer status (exposure) and CVD (outcome) before and after PSM. Multivariate logistic models adjusted for significant covariates. Subgroup analysis is utilized for populations with sufficient sample sizes. In subgroup analyses, binary logistic regression assessed the cancer-CVD association within specific populations, with age dichotomized by the median (&lt; 71 vs. &#x2265; 71 years). Finally, within the cancer survivor population, univariate and multivariate logistic regression were employed to systematically analyze the risk factors of CVD in cancer survivors. Continuous variables are expressed as median with interquartile range (IQR) and compared using the Mann-Whitney U test. Categorical data were described by frequency and percentage, comparisons between groups were made with the chi-square test. R software (version 4.4.3) was used for all analyses and P &lt; 0.05 was significant.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<sec id="s3_1">
<title>Population</title>
<p>Data from the 2023 BRFSS survey covered 433,323 participants. Excluding participants with missing cancer status, CVD status, or key covariates, the final analytic sample consisted of 241,064 individuals. The selection flowchart is shown in <xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1</bold></xref>.</p>
</sec>
<sec id="s3_2">
<title>Baseline characteristics</title>
<p>Based on cancer history, participants were categorized into two groups: Cancer group (n = 30,987, 12.9%) and non-cancer group (n = 210,077, 87.1%). Before PSM, significant differences were observed between groups regarding demographics, socioeconomic factors, health status, and lifestyle. After 1:2 PSM, 92,923 participants were included (Cancer group: n = 30,987; Non-cancer group: n = 61,936). All covariates demonstrated good balance post-matching (all SMD &lt; 0.1; <xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref>; <xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2</bold></xref>). Characteristics of the PSM-matched cohort were: median age 71 years (IQR 62-77, range 18-80); females 49,656 (53.4%); White 83,303 (89.6%); current smokers 84,289 (90.7%); not meeting aerobic physical activity guidelines 60,317 (64.9%).</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Demographic and clinical characteristics of the study population.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="2" align="center">Demographic characteristics</th>
<th valign="middle" colspan="4" align="center">Before PSM</th>
<th valign="middle" colspan="4" align="center">After PSM</th>
</tr>
<tr>
<th valign="middle" align="center">Cancer (N = 30987)</th>
<th valign="middle" align="center">Non-Cancer (N = 210077)</th>
<th valign="middle" align="center">SMD</th>
<th valign="middle" align="center">P-value</th>
<th valign="middle" align="center">Cancer (N = 30987)</th>
<th valign="middle" align="center">Non-Cancer (N = 61936)</th>
<th valign="middle" align="center">SMD</th>
<th valign="middle" align="center">P-value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">Age</td>
<td valign="middle" align="center">71 (62,77)</td>
<td valign="middle" align="center">58 (42,69)</td>
<td valign="middle" align="center">1.1266</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">71 (62,77)</td>
<td valign="middle" align="center">71 (62,77)</td>
<td valign="middle" align="center">-0.0048</td>
<td valign="middle" align="center">0.641</td>
</tr>
<tr>
<td valign="middle" align="left">Sex</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.006</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Male</td>
<td valign="middle" align="center">14624 (47.19%)</td>
<td valign="middle" align="center">103238 (49.14%)</td>
<td valign="middle" align="center">-0.0195</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">14624 (47.19%)</td>
<td valign="middle" align="center">28643 (46.25%)</td>
<td valign="middle" align="center">0.0102</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Female</td>
<td valign="middle" align="center">16363 (52.81%)</td>
<td valign="middle" align="center">106839 (50.86%)</td>
<td valign="middle" align="center">0.0195</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">16363 (52.81%)</td>
<td valign="middle" align="center">33293 (53.75%)</td>
<td valign="middle" align="center">-0.0102</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">Race</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.060</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;White, Non-Hispanic</td>
<td valign="middle" align="center">27651 (89.23%)</td>
<td valign="middle" align="center">161131 (76.70%)</td>
<td valign="middle" align="center">0.1253</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">27651 (89.23%)</td>
<td valign="middle" align="center">55652 (89.85%)</td>
<td valign="middle" align="center">-0.0034</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Black, Non-Hispanic</td>
<td valign="middle" align="center">1177 (3.80%)</td>
<td valign="middle" align="center">15625 (7.44%)</td>
<td valign="middle" align="center">-0.0364</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">1177 (3.80%)</td>
<td valign="middle" align="center">2228 (3.60%)</td>
<td valign="middle" align="center">0.0018</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Asian, Non-Hispanic</td>
<td valign="middle" align="center">246 (0.79%)</td>
<td valign="middle" align="center">5700 (2.71%)</td>
<td valign="middle" align="center">-0.0192</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">246 (0.79%)</td>
<td valign="middle" align="center">467 (0.75%)</td>
<td valign="middle" align="center">0.0001</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Other race, Non-Hispanic</td>
<td valign="middle" align="center">1089 (3.51%)</td>
<td valign="middle" align="center">10471 (4.98%)</td>
<td valign="middle" align="center">-0.0147</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">1089 (3.51%)</td>
<td valign="middle" align="center">2076 (3.35%)</td>
<td valign="middle" align="center">0.0002</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Hispanic</td>
<td valign="middle" align="center">824 (2.66%)</td>
<td valign="middle" align="center">17150 (8.16%)</td>
<td valign="middle" align="center">-0.0550</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">824 (2.66%)</td>
<td valign="middle" align="center">1513 (2.44%)</td>
<td valign="middle" align="center">0.0013</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">Marital status</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.070</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Married</td>
<td valign="middle" align="center">17733 (57.23%)</td>
<td valign="middle" align="center">116685 (55.54%)</td>
<td valign="middle" align="center">0.0168</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">17733 (57.23%)</td>
<td valign="middle" align="center">35987 (58.1%)</td>
<td valign="middle" align="center">-0.0083</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Divorced</td>
<td valign="middle" align="center">4898 (15.81%)</td>
<td valign="middle" align="center">32078 (15.27%)</td>
<td valign="middle" align="center">0.0054</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">4898 (15.81%)</td>
<td valign="middle" align="center">9503 (15.34%)</td>
<td valign="middle" align="center">0.0021</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Widowed</td>
<td valign="middle" align="center">5600 (18.07%)</td>
<td valign="middle" align="center">19929 (9.49%)</td>
<td valign="middle" align="center">0.0859</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">5600 (18.07%)</td>
<td valign="middle" align="center">11058 (17.85%)</td>
<td valign="middle" align="center">0.0019</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Single</td>
<td valign="middle" align="center">2756 (8.89%)</td>
<td valign="middle" align="center">41385 (19.70%)</td>
<td valign="middle" align="center">-0.1081</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">2756 (8.89%)</td>
<td valign="middle" align="center">5388 (8.70%)</td>
<td valign="middle" align="center">0.0043</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">Educational attainment</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.266</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Did not graduate high school</td>
<td valign="middle" align="center">968 (3.12%)</td>
<td valign="middle" align="center">8902 (4.24%)</td>
<td valign="middle" align="center">-0.0111</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">968 (3.12%)</td>
<td valign="middle" align="center">1869 (3.02%)</td>
<td valign="middle" align="center">0.0022</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Graduated high school</td>
<td valign="middle" align="center">6414 (20.70%)</td>
<td valign="middle" align="center">46302 (22.04%)</td>
<td valign="middle" align="center">-0.0134</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">6414 (20.70%)</td>
<td valign="middle" align="center">12738 (20.57%)</td>
<td valign="middle" align="center">-0.0012</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Attended college or technical school</td>
<td valign="middle" align="center">8584 (27.70%)</td>
<td valign="middle" align="center">55312 (26.33%)</td>
<td valign="middle" align="center">0.0137</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">8584 (27.70%)</td>
<td valign="middle" align="center">16905 (27.29%)</td>
<td valign="middle" align="center">0.0041</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Graduated from college or technical school</td>
<td valign="middle" align="center">15021 (48.48%)</td>
<td valign="middle" align="center">99561 (47.39%)</td>
<td valign="middle" align="center">0.0108</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">15021 (48.48%)</td>
<td valign="middle" align="center">30424 (49.12%)</td>
<td valign="middle" align="center">-0.0051</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">Income level</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.157</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&lt; $15,000</td>
<td valign="middle" align="center">1309 (4.22%)</td>
<td valign="middle" align="center">9266 (4.41%)</td>
<td valign="middle" align="center">-0.0019</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">1309 (4.22%)</td>
<td valign="middle" align="center">2548 (4.11%)</td>
<td valign="middle" align="center">0.0006</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;$15,000- $25,000</td>
<td valign="middle" align="center">2669 (8.61%)</td>
<td valign="middle" align="center">16432 (7.82%)</td>
<td valign="middle" align="center">0.0079</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">2669 (8.61%)</td>
<td valign="middle" align="center">5176 (8.36%)</td>
<td valign="middle" align="center">0.0020</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;$25,000- $35,000</td>
<td valign="middle" align="center">3503 (11.30%)</td>
<td valign="middle" align="center">21181 (10.08%)</td>
<td valign="middle" align="center">0.0122</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">3503 (11.30%)</td>
<td valign="middle" align="center">6802 (10.98%)</td>
<td valign="middle" align="center">0.0025</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;$35,000- $50,000</td>
<td valign="middle" align="center">4590 (14.81%)</td>
<td valign="middle" align="center">26995 (12.85%)</td>
<td valign="middle" align="center">0.0196</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">4590 (14.81%)</td>
<td valign="middle" align="center">8981 (14.50%)</td>
<td valign="middle" align="center">0.0019</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;$50,000- $100,000</td>
<td valign="middle" align="center">10445 (33.71%)</td>
<td valign="middle" align="center">65954 (31.40%)</td>
<td valign="middle" align="center">0.0231</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">10445 (33.71%)</td>
<td valign="middle" align="center">21109 (34.08%)</td>
<td valign="middle" align="center">-0.0033</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;$100,000- $200,000</td>
<td valign="middle" align="center">6457 (20.84%)</td>
<td valign="middle" align="center">51258 (24.40%)</td>
<td valign="middle" align="center">-0.0356</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">6457 (20.84%)</td>
<td valign="middle" align="center">13200 (21.31%)</td>
<td valign="middle" align="center">-0.0024</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&#x2265; $200,000</td>
<td valign="middle" align="center">2014 (6.50%)</td>
<td valign="middle" align="center">18991 (9.04%)</td>
<td valign="middle" align="center">-0.0254</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">2014 (6.50%)</td>
<td valign="middle" align="center">4120 (6.65%)</td>
<td valign="middle" align="center">-0.0013</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">Residence</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.084</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Urban</td>
<td valign="middle" align="center">26479 (85.45%)</td>
<td valign="middle" align="center">182575 (86.91%)</td>
<td valign="middle" align="center">-0.0146</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">26479 (85.45%)</td>
<td valign="middle" align="center">53186 (85.87%)</td>
<td valign="middle" align="center">-0.0029</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Rural</td>
<td valign="middle" align="center">4508 (14.55%)</td>
<td valign="middle" align="center">27502 (13.09%)</td>
<td valign="middle" align="center">0.0146</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">4508 (14.55%)</td>
<td valign="middle" align="center">8750 (14.13%)</td>
<td valign="middle" align="center">0.0029</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">BMI</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.332</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;18.5 &#x2264; BMI &lt; 25.0</td>
<td valign="middle" align="center">8978 (28.97%)</td>
<td valign="middle" align="center">58639 (27.91%)</td>
<td valign="middle" align="center">0.0106</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">8978 (28.97%)</td>
<td valign="middle" align="center">18162 (29.32%)</td>
<td valign="middle" align="center">-0.0022</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;BMI &lt; 18.5</td>
<td valign="middle" align="center">522 (1.68%)</td>
<td valign="middle" align="center">2811 (1.34%)</td>
<td valign="middle" align="center">0.0035</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">522 (1.68%)</td>
<td valign="middle" align="center">1030 (1.66%)</td>
<td valign="middle" align="center">0.0010</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;25.0 &#x2264; BMI &lt; 30.0</td>
<td valign="middle" align="center">11482 (37.05%)</td>
<td valign="middle" align="center">76190 (36.27%)</td>
<td valign="middle" align="center">0.0079</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">11482 (37.05%)</td>
<td valign="middle" align="center">23103 (37.30%)</td>
<td valign="middle" align="center">-0.0035</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;BMI &#x2265; 30.0</td>
<td valign="middle" align="center">10005 (32.29%)</td>
<td valign="middle" align="center">72437 (34.48%)</td>
<td valign="middle" align="center">-0.0219</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">10005 (32.29%)</td>
<td valign="middle" align="center">19641 (31.71%)</td>
<td valign="middle" align="center">0.0047</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">Diabetes</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;No</td>
<td valign="middle" align="center">24823 (80.11%)</td>
<td valign="middle" align="center">181371 (86.34%)</td>
<td valign="middle" align="center">0.0623</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">24823 (80.11%)</td>
<td valign="middle" align="center">50246 (81.13%)</td>
<td valign="middle" align="center">-0.0065</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Yes</td>
<td valign="middle" align="center">6164 (19.89%)</td>
<td valign="middle" align="center">28706 (13.66%)</td>
<td valign="middle" align="center">0.0623</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">6164 (19.89%)</td>
<td valign="middle" align="center">11690 (18.87%)</td>
<td valign="middle" align="center">0.0065</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">Hypertension</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.046</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;No</td>
<td valign="middle" align="center">13410 (43.28%)</td>
<td valign="middle" align="center">123899 (58.98%)</td>
<td valign="middle" align="center">-0.1570</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">13410 (43.28%)</td>
<td valign="middle" align="center">27231 (43.97%)</td>
<td valign="middle" align="center">-0.0062</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Yes</td>
<td valign="middle" align="center">17577 (56.72%)</td>
<td valign="middle" align="center">86178 (41.02%)</td>
<td valign="middle" align="center">0.1570</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">17577 (56.72%)</td>
<td valign="middle" align="center">34705 (56.03%)</td>
<td valign="middle" align="center">0.0062</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">Dyslipidemia</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.954</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;No</td>
<td valign="middle" align="center">14283 (46.09%)</td>
<td valign="middle" align="center">125556 (59.77%)</td>
<td valign="middle" align="center">-0.1367</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">14283 (46.09%)</td>
<td valign="middle" align="center">28536 (46.07%)</td>
<td valign="middle" align="center">0.0003</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Yes</td>
<td valign="middle" align="center">16704 (53.91%)</td>
<td valign="middle" align="center">84521 (40.23%)</td>
<td valign="middle" align="center">0.1367</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">16704 (53.91%)</td>
<td valign="middle" align="center">33400 (53.93%)</td>
<td valign="middle" align="center">-0.0003</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">CKD</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;No</td>
<td valign="middle" align="center">27809 (89.74%)</td>
<td valign="middle" align="center">201173 (95.76%)</td>
<td valign="middle" align="center">-0.0602</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">27809 (89.74%)</td>
<td valign="middle" align="center">56167 (90.69%)</td>
<td valign="middle" align="center">-0.0102</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Yes</td>
<td valign="middle" align="center">3178 (10.26%)</td>
<td valign="middle" align="center">8904 (4.24%)</td>
<td valign="middle" align="center">0.0602</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">3178 (10.26%)</td>
<td valign="middle" align="center">5769 (9.31%)</td>
<td valign="middle" align="center">0.0102</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">Depression</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.024</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.050</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;No</td>
<td valign="middle" align="center">24297 (78.41%)</td>
<td valign="middle" align="center">165903 (78.97%)</td>
<td valign="middle" align="center">-0.0056</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">24297 (78.41%)</td>
<td valign="middle" align="center">48910 (78.97%)</td>
<td valign="middle" align="center">-0.0049</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Yes</td>
<td valign="middle" align="center">6690 (21.59%)</td>
<td valign="middle" align="center">44174 (21.03%)</td>
<td valign="middle" align="center">0.0056</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">6690 (21.59%)</td>
<td valign="middle" align="center">13026 (21.03%)</td>
<td valign="middle" align="center">0.0049</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">Smoking</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.011</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Never smoked</td>
<td valign="middle" align="center">2226 (7.18%)</td>
<td valign="middle" align="center">16167 (7.70%)</td>
<td valign="middle" align="center">-0.0051</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">2226 (7.18%)</td>
<td valign="middle" align="center">4223 (6.82%)</td>
<td valign="middle" align="center">0.0027</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Former smoker</td>
<td valign="middle" align="center">767 (2.48%)</td>
<td valign="middle" align="center">6701 (3.19%)</td>
<td valign="middle" align="center">-0.0071</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">767 (2.48%)</td>
<td valign="middle" align="center">1418 (2.29%)</td>
<td valign="middle" align="center">0.0012</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Current smokes some days</td>
<td valign="middle" align="center">11731 (37.86%)</td>
<td valign="middle" align="center">59467 (28.31%)</td>
<td valign="middle" align="center">0.0955</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">11731 (37.86%)</td>
<td valign="middle" align="center">23215 (37.48%)</td>
<td valign="middle" align="center">0.0054</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Current smokes every day</td>
<td valign="middle" align="center">16263 (52.48%)</td>
<td valign="middle" align="center">127742 (60.81%)</td>
<td valign="middle" align="center">-0.0832</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">16263 (52.48%)</td>
<td valign="middle" align="center">33080 (53.41%)</td>
<td valign="middle" align="center">-0.0093</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">Physical activity</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.01</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.002</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Did not meet aerobic recommendations</td>
<td valign="middle" align="center">19898 (64.21%)</td>
<td valign="middle" align="center">136463 (64.96%)</td>
<td valign="middle" align="center">-0.0074</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">19898 (64.21%)</td>
<td valign="middle" align="center">40419 (65.26%)</td>
<td valign="middle" align="center">-0.0068</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Meet aerobic recommendations</td>
<td valign="middle" align="center">11089 (35.79%)</td>
<td valign="middle" align="center">73614 (35.04%)</td>
<td valign="middle" align="center">0.0074</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">11089 (35.79%)</td>
<td valign="middle" align="center">21517 (34.74%)</td>
<td valign="middle" align="center">0.0068</td>
<td valign="middle" align="center"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>BMI, Body mass index; CKD, Chronic kidney disease; PSM, propensity score matching; SMD, Standardized Mean Difference.</p></fn>
</table-wrap-foot>
</table-wrap>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Standardized mean differences (SMDs) of variables before and after propensity score matching (PSM).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-16-1734601-g002.tif">
<alt-text content-type="machine-generated">Dot plot showing covariate balance for various variables like age, sex, race, marital status, and income level. Red dots represent unadjusted samples, while blue dots represent adjusted samples. The x-axis indicates standardized mean differences ranging from zero to 0.8. Dashed lines mark certain balance thresholds.</alt-text>
</graphic></fig>
</sec>
<sec id="s3_3">
<title>Univariate and multivariate logistic regression before and after PSM</title>
<p>Within the total included population (N = 241,064), 28,785 participants (11.9%) had CVD. The prevalence of CVD was significantly higher in cancer patients than in non-cancer individuals (20.7% [6,423/30,987] vs. 10.7% [22,461/210,077], P &lt; 0.001). Univariate logistic regression indicated a positive association between cancer and CVD risk (odds ratio [OR]: 2.14, 95% confidence interval [CI]: 2.08-2.21; P &lt; 0.001). Adjusting for age, sex, and key covariates in multivariate logistic regression, cancer remains positively associated with CVD risk (OR = 1.16, 95% CI: 1.12-1.20, P &lt; 0.001) (<xref ref-type="table" rid="T2"><bold>Table&#xa0;2</bold></xref>). To control for selection bias, 1:2 PSM was performed. Post-matching, 17,587 participants (18.9%) had CVD. The prevalence of CVD was significantly higher in cancer patients than in non-cancer individuals (20.7% [6,423/30,987] vs. 18.2% [11,265/61,936], P &lt; 0.001). Both univariate and multivariate regression analyses within the matched cohort confirmed this association (Univariate: OR = 1.15, 95% CI: 1.11-1.19; Multivariate: OR = 1.14, 95% CI: 1.10-1.18; both P &lt; 0.001) (<xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3</bold></xref>). This demonstrates that a history of cancer is positively associated with CVD risk, with a significant effect size persisting after multivariable adjustment and PSM.</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Univariate and multivariate logistic regression analyses of CVD risk factors before and after PSM.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="3" align="center">Demographic characteristics</th>
<th valign="middle" colspan="4" align="center">Before PSM</th>
<th valign="middle" colspan="4" align="center">After PSM</th>
</tr>
<tr>
<th valign="middle" colspan="2" align="center">Univariate logistic analysis</th>
<th valign="middle" colspan="2" align="center">Multivariate logistic analysis</th>
<th valign="middle" colspan="2" align="center">Univariate logistic analysis</th>
<th valign="middle" colspan="2" align="center">Multivariate logistic analysis</th>
</tr>
<tr>
<th valign="middle" align="center">OR (95% CI)</th>
<th valign="middle" align="center">P-value</th>
<th valign="middle" align="center">OR (95% CI)</th>
<th valign="middle" align="center">P-value</th>
<th valign="middle" align="center">OR (95% CI)</th>
<th valign="middle" align="center">P-value</th>
<th valign="middle" align="center">OR (95% CI)</th>
<th valign="middle" align="center">P-value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">Age</td>
<td valign="middle" align="center">1.06 (1.06, 1.06)</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">1.05 (1.05, 1.05)</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">1.05 (1.05, 1.06)</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">1.05 (1.04, 1.05)</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<th valign="middle" colspan="9" align="left">Sex</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Male</td>
<td valign="middle" align="center">1.00 (Reference)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">1.00 (Reference)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">1.00 (Reference)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">1.00 (Reference)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Female</td>
<td valign="middle" align="center">0.65 (0.64, 0.67)</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">0.54 (0.53, 0.56)</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">0.57 (0.55, 0.59)</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">0.51 (0.49, 0.53)</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<th valign="middle" colspan="9" align="left">Race</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;White, Non-Hispanic</td>
<td valign="middle" align="center">1.00 (Reference)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">1.00 (Reference)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">1.00 (Reference)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">1.00 (Reference)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Black, Non-Hispanic</td>
<td valign="middle" align="center">0.93 (0.89, 0.98)</td>
<td valign="middle" align="center">0.005</td>
<td valign="middle" align="center">0.94 (0.89, 1.00)</td>
<td valign="middle" align="center">0.036</td>
<td valign="middle" align="center">1.00 (0.92, 1.09)</td>
<td valign="middle" align="center">0.968</td>
<td valign="middle" align="center">0.85 (0.77, 0.93)</td>
<td valign="middle" align="center">0.001</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Asian, Non-Hispanic</td>
<td valign="middle" align="center">0.42 (0.37, 0.46)</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">0.81 (0.72, 0.92)</td>
<td valign="middle" align="center">0.001</td>
<td valign="middle" align="center">0.66 (0.53, 0.82)</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">0.85 (0.67, 1.07)</td>
<td valign="middle" align="center">0.166</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Other race, Non-Hispanic</td>
<td valign="middle" align="center">1.05 (1.00, 1.11)</td>
<td valign="middle" align="center">0.062</td>
<td valign="middle" align="center">1.23 (1.16, 1.31)</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">1.29 (1.19, 1.41)</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">1.26 (1.14, 1.38)</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Hispanic</td>
<td valign="middle" align="center">0.50 (0.47, 0.53)</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">0.82 (0.76, 0.87)</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">0.78 (0.69, 0.87)</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">0.84 (0.74, 0.96)</td>
<td valign="middle" align="center">0.007</td>
</tr>
<tr>
<th valign="middle" colspan="9" align="left">Marital status</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Married</td>
<td valign="middle" align="center">1.00 (Reference)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">1.00 (Reference)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">1.00 (Reference)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">1.00 (Reference)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Divorced</td>
<td valign="middle" align="center">1.46 (1.41, 1.51)</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">0.99 (0.96, 1.03)</td>
<td valign="middle" align="center">0.781</td>
<td valign="middle" align="center">1.28 (1.23, 1.34)</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">0.98 (0.93, 1.03)</td>
<td valign="middle" align="center">0.449</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Widowed</td>
<td valign="middle" align="center">2.45 (2.37, 2.54)</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">1.04 (1.00, 1.08)</td>
<td valign="middle" align="center">0.073</td>
<td valign="middle" align="center">1.67 (1.60, 1.74)</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">1.05 (1.00, 1.11)</td>
<td valign="middle" align="center">0.045</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Single</td>
<td valign="middle" align="center">0.57 (0.55, 0.60)</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">0.86 (0.82, 0.9)</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">0.81 (0.76, 0.87)</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">0.78 (0.73, 0.85)</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<th valign="middle" colspan="9" align="left">Educational attainment</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Did not graduate high school</td>
<td valign="middle" align="center">1.00 (Reference)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">1.00 (Reference)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">1.00 (Reference)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">1.00 (Reference)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Graduated high school</td>
<td valign="middle" align="center">0.75 (0.71, 0.79)</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">0.88 (0.83, 0.94)</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">0.74 (0.68, 0.81)</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">0.94 (0.86, 1.04)</td>
<td valign="middle" align="center">0.245</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Attended college or technical school</td>
<td valign="middle" align="center">0.68 (0.64, 0.72)</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">0.93 (0.87, 0.99)</td>
<td valign="middle" align="center">0.022</td>
<td valign="middle" align="center">0.66 (0.60, 0.72)</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">0.99 (0.90, 1.09)</td>
<td valign="middle" align="center">0.894</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Graduated from college or technical school</td>
<td valign="middle" align="center">0.42 (0.39, 0.44)</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">0.78 (0.73, 0.83)</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">0.44 (0.40, 0.48)</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">0.84 (0.77, 0.93)</td>
<td valign="middle" align="center">0.001</td>
</tr>
<tr>
<th valign="middle" colspan="9" align="left">Income level</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&lt; $15,000</td>
<td valign="middle" align="center">1.00 (Reference)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">1.00 (Reference)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">1.00 (Reference)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">1.00 (Reference)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;$15,000- $25,000</td>
<td valign="middle" align="center">0.96 (0.91, 1.02)</td>
<td valign="middle" align="center">0.224</td>
<td valign="middle" align="center">0.82 (0.77, 0.87)</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">0.97 (0.89, 1.06)</td>
<td valign="middle" align="center">0.53</td>
<td valign="middle" align="center">0.83 (0.76, 0.91)</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;$25,000- $35,000</td>
<td valign="middle" align="center">0.77 (0.73, 0.82)</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">0.71 (0.66, 0.75)</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">0.80 (0.74, 0.87)</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">0.70 (0.64, 0.77)</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;$35,000- $50,000</td>
<td valign="middle" align="center">0.61 (0.58, 0.65)</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">0.58 (0.55, 0.62)</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">0.65 (0.60, 0.70)</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">0.60 (0.55, 0.65)</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;$50,000- $100,000</td>
<td valign="middle" align="center">0.43 (0.41, 0.46)</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">0.49 (0.46, 0.52)</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">0.49 (0.45, 0.52)</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">0.51 (0.47, 0.56)</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;$100,000- $200,000</td>
<td valign="middle" align="center">0.28 (0.26, 0.29)</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">0.44 (0.41, 0.47)</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">0.34 (0.32, 0.37)</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">0.47 (0.42, 0.51)</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&#x2265; $200,000</td>
<td valign="middle" align="center">0.19 (0.18, 0.21)</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">0.39 (0.36, 0.43)</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">0.27 (0.24, 0.30)</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">0.44 (0.39, 0.50)</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<th valign="middle" colspan="9" align="left">Residence</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Urban</td>
<td valign="middle" align="center">1.00 (Reference)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">1.00 (Reference)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">1.00 (Reference)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">1.00 (Reference)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Rural</td>
<td valign="middle" align="center">1.35 (1.31, 1.40)</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">1.04 (1.00, 1.08)</td>
<td valign="middle" align="center">0.036</td>
<td valign="middle" align="center">1.21 (1.16, 1.27)</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">1.06 (1.01, 1.11)</td>
<td valign="middle" align="center">0.020</td>
</tr>
<tr>
<th valign="middle" colspan="9" align="left">BMI</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;18.5 &#x2264; BMI &lt; 25.0</td>
<td valign="middle" align="center">1.00 (Reference)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">1.00 (Reference)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">1.00 (Reference)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">1.00 (Reference)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;BMI &lt; 18.5</td>
<td valign="middle" align="center">1.38 (1.25, 1.53)</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">1.23 (1.10, 1.38)</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">1.23 (1.08, 1.40)</td>
<td valign="middle" align="center">0.002</td>
<td valign="middle" align="center">1.16 (1.01, 1.34)</td>
<td valign="middle" align="center">0.035</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;25.0 &#x2264; BMI &lt; 30.0</td>
<td valign="middle" align="center">1.23 (1.19, 1.27)</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">0.98 (0.94, 1.01)</td>
<td valign="middle" align="center">0.177</td>
<td valign="middle" align="center">1.20 (1.15, 1.25)</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">0.97 (0.92, 1.01)</td>
<td valign="middle" align="center">0.157</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;BMI &#x2265; 30.0</td>
<td valign="middle" align="center">1.40 (1.35, 1.44)</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">0.99 (0.96, 1.03)</td>
<td valign="middle" align="center">0.649</td>
<td valign="middle" align="center">1.33 (1.27, 1.39)</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">0.96 (0.91, 1.01)</td>
<td valign="middle" align="center">0.087</td>
</tr>
<tr>
<th valign="middle" colspan="9" align="left">Diabetes</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;No</td>
<td valign="middle" align="center">1.00 (Reference)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">1.00 (Reference)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">1.00 (Reference)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">1.00 (Reference)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Yes</td>
<td valign="middle" align="center">3.39 (3.29, 3.48)</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">1.59 (1.54, 1.64)</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">2.46 (2.37, 2.56)</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">1.52 (1.45, 1.58)</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<th valign="middle" colspan="9" align="left">Hypertension</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;No</td>
<td valign="middle" align="center">1.00 (Reference)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">1.00 (Reference)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">1.00 (Reference)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">1.00 (Reference)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Yes</td>
<td valign="middle" align="center">4.16 (4.04, 4.27)</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">1.86 (1.81, 1.92)</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">2.82 (2.71, 2.92)</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">1.71 (1.64, 1.78)</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<th valign="middle" colspan="9" align="left">Dyslipidemia</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;No</td>
<td valign="middle" align="center">1.00 (Reference)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">1.00 (Reference)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">1.00 (Reference)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">1.00 (Reference)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Yes</td>
<td valign="middle" align="center">2.97 (2.90, 3.05)</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">1.65 (1.60, 1.70)</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">2.13 (2.05, 2.2)</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">1.59 (1.53, 1.65)</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="left">CKD</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;No</td>
<td valign="middle" align="center">1.00 (Reference)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">1.00 (Reference)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">1.00 (Reference)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">1.00 (Reference)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Yes</td>
<td valign="middle" align="center">4.48 (4.31, 4.66)</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">2.04 (1.95, 2.13)</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">3.01 (2.88, 3.16)</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">1.95 (1.85, 2.05)</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="left">Depression</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;No</td>
<td valign="middle" align="center">1.00 (Reference)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">1.00 (Reference)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">1.00 (Reference)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">1.00 (Reference)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Yes</td>
<td valign="middle" align="center">1.38 (1.34, 1.42)</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">1.51 (1.47, 1.57)</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">1.36 (1.31, 1.41)</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">1.45 (1.39, 1.52)</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<th valign="middle" colspan="9" align="left">Smoking</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Never smoked</td>
<td valign="middle" align="center">1.00 (Reference)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">1.00 (Reference)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">1.00 (Reference)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">1.00 (Reference)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Former smoker</td>
<td valign="middle" align="center">2.09 (2.04, 2.15)</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">1.34 (1.30, 1.38)</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">1.68 (1.63, 1.74)</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">1.29 (1.24, 1.34)</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Current smokes some days</td>
<td valign="middle" align="center">1.83 (1.71, 1.96)</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">1.72 (1.60, 1.85)</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">1.75 (1.58, 1.93)</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">1.70 (1.52, 1.90)</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Current smokes every day</td>
<td valign="middle" align="center">2.17 (2.08, 2.26)</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">1.69 (1.61, 1.77)</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">1.83 (1.72, 1.95)</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">1.61 (1.51, 1.73)</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<th valign="middle" colspan="9" align="left">Physical activity</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Did not meet aerobic recommendations</td>
<td valign="middle" align="center">1.00 (Reference)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">1.00 (Reference)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">1.00 (Reference)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">1.00 (Reference)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Meet aerobic recommendations</td>
<td valign="middle" align="center">0.62 (0.60, 0.63)</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">0.80 (0.78, 0.82)</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">0.60 (0.58, 0.62)</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">0.77 (0.74, 0.80)</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<th valign="middle" colspan="9" align="left">Cancer</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;No</td>
<td valign="middle" align="center">1.00 (Reference)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">1.00 (Reference)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">1.00 (Reference)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">1.00 (Reference)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Yes</td>
<td valign="middle" align="center">2.14 (2.08, 2.21)</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">1.16 (1.12, 1.20)</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">1.15 (1.11, 1.19)</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">1.14 (1.10, 1.18)</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>BMI, Body mass index; CI, Confidence interval; CKD, Chronic kidney disease; CVD, Cardiovascular disease; OR, Odds ratio; PSM, propensity score matching.</p></fn>
</table-wrap-foot>
</table-wrap>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>The forest plot of multivariate logistic regression analysis of cardiovascular disease risk between cancer survivors and non-cancer controls.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-16-1734601-g003.tif">
<alt-text content-type="machine-generated">Forest plot displaying odds ratios (OR) with 95% confidence intervals and p-values for various demographic and health-related variables. Categories include sex, race, marital status, educational attainment, income level, residence, BMI, diabetes, hypertension, dyslipidemia, chronic kidney disease (CKD), depression, smoking, physical activity, and cancer. Reference groups are indicated, and significant results are highlighted with p-values less than 0.001, such as female sex (OR 0.51), low income (&lt; content-type="machine-generated"5,000, OR 0.83), and presence of diabetes (OR 1.52), among others. A dashed orange line marks an OR of 1.</alt-text>
</graphic></fig>
</sec>
<sec id="s3_4">
<title>Subgroup analysis</title>
<p>We conducted a subgroup analysis on populations with sufficient sample sizes. Subgroup analyses assessed the consistency of the association between cancer survivorship and CVD. Bar charts illustrated CVD case numbers and proportions in cancer survivors vs. non-cancer individuals across subgroups (<xref ref-type="fig" rid="f4"><bold>Figure&#xa0;4</bold></xref>; <xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Figures S1-S2</bold></xref>). Forest plot results indicated that&#xa0;among 22 subgroups, the ORs were significantly greater than 1 (P &lt; 0.05) in all except for those with diabetes and CKD, where no&#xa0;significant statistical difference was found. Notably, no subgroup exhibited a statistically significant inverse association (OR &lt; 1, P&#xa0;&lt;&#xa0;0.05) (<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Table S1</bold></xref>; <xref ref-type="fig" rid="f5"><bold>Figure&#xa0;5</bold></xref>).</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Cardiovascular disease in cancer survivors vs non-cancer individuals: Case numbers and proportions across clinical subgroups. <bold>(A)</bold> Age; <bold>(B)</bold> Sex; <bold>(C)</bold> Marital status.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-16-1734601-g004.tif">
<alt-text content-type="machine-generated">Three bar charts display cardiovascular disease (CVD) distribution by age, sex, and marital status. Chart A shows CVD prevalence in people under and over seventy-one years, with higher rates in older individuals. Chart B compares CVD rates between males and females, with males showing slightly higher rates. Chart C presents CVD distribution among married, divorced, widowed, and single individuals, indicating higher prevalence in widowed people. Each chart distinguishes between cancer and non-cancer groups and uses green and red bars to represent CVD status as &#x201c;No&#x201d; and &#x201c;Yes,&#x201d; respectively.</alt-text>
</graphic></fig>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>The forest plot of subgroup analysis of cardiovascular disease risk between cancer survivors and non-cancer individuals after propensity score matching (PSM).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-16-1734601-g005.tif">
<alt-text content-type="machine-generated">Forest plot showing odds ratios with 95% confidence intervals for various subgroups, including age, sex, marital status, residence, and health conditions like diabetes and hypertension. Each subgroup presents odds ratios, confidence intervals, and P-values, indicating statistical significance. Dotted vertical line at odds ratio 1 acts as a reference.</alt-text>
</graphic></fig>
</sec>
<sec id="s3_5">
<title>Risk factors for CVD in cancer survivors</title>
<p>The bar charts displayed CVD case numbers and proportions across different characteristics within the cancer survivor group (<xref ref-type="fig" rid="f6"><bold>Figure&#xa0;6</bold></xref>; <xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Figures S3-S5</bold></xref>). Univariate and multivariate logistic regression analyses were performed specifically within cancer survivors. Univariate logistic regression results indicated that all 15 included covariates were significantly associated with CVD occurrence (P &lt; 0.05) (<xref ref-type="table" rid="T3"><bold>Table&#xa0;3</bold></xref>). The multivariate model further showed that among cancer survivors, increased CVD risk was significantly associated with older age (OR = 1.04, 95% CI: 1.03-1.04, P &lt; 0.001), race categorized as &#x201c;Other&#x201d; (OR = 1.41, 95% CI: 1.21-1.64, P &lt; 0.001), and the presence of comorbidities: hyperglycemia/diabetes (OR = 1.46, 95% CI: 1.36-1.56, P &lt; 0.001), hypertension (OR = 1.63, 95% CI: 1.53-1.75, P &lt; 0.001), dyslipidemia (OR = 1.52, 95% CI: 1.43-1.62, P &lt; 0.001), CKD (OR = 1.85, 95% CI: 1.70-2.01, P &lt; 0.001), depression (OR = 1.46, 95% CI: 1.36-1.57, P &lt; 0.001), and smoking. Reduced CVD risk was associated with female sex (OR = 0.52, 95% CI: 0.49-0.56, P &lt; 0.001), being single (OR = 0.82, 95% CI: 0.72-0.92, P &lt; 0.001), higher income level, urban residence, elevated BMI, and meeting aerobic physical activity guidelines (OR = 0.78, 95% CI: 0.73-0.83, P &lt; 0.001). Educational level was not significantly associated with CVD (P &gt; 0.05) (<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Figure S6</bold></xref>).</p>
<fig id="f6" position="float">
<label>Figure&#xa0;6</label>
<caption>
<p>Cardiovascular disease in cancer survivors: Case numbers and proportions across clinical subgroups. <bold>(A)</bold> Age; <bold>(B)</bold> Sex; <bold>(C)</bold> Race; <bold>(D)</bold> Marital status.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-16-1734601-g006.tif">
<alt-text content-type="machine-generated">Bar charts show CVD distribution by age, sex, race, and marital status. Chart A: Age group &lt;71 has 14.3% with CVD, &#x2265;71 has 26.3%. Chart B: Males have 25.4% with CVD, females 16%. Chart C: White, non-Hispanic group has 20.4% with CVD, Black, non-Hispanic 19.8%, Asian, non-Hispanic 13.4%, other race, non-Hispanic 26.7%, Hispanic 17.1%. Chart D: Married have 18.1% with CVD, divorced 22.9%, widowed 27.9%, single 15.9%. Green represents no CVD, red represents CVD presence.</alt-text>
</graphic></fig>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Univariate and multivariate logistic regression analyses of CVD risk factors in cancer survivors.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="2" align="left">Demographic characteristics</th>
<th valign="middle" colspan="2" align="left">Univariate logistic analysis</th>
<th valign="middle" colspan="2" align="left">Multivariate logistic analysis</th>
</tr>
<tr>
<th valign="middle" align="left">OR (95% CI)</th>
<th valign="middle" align="left">P-value</th>
<th valign="middle" align="left">OR (95% CI)</th>
<th valign="middle" align="left">P-value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">Age</td>
<td valign="middle" align="center">1.05 (1.04, 1.05)</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">1.04 (1.03, 1.04)</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<th valign="middle" colspan="5" align="left">Sex</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Male</td>
<td valign="middle" align="center">1.00 (Reference)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">1.00 (Reference)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Female</td>
<td valign="middle" align="center">0.56 (0.53, 0.59)</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">0.52 (0.49, 0.56)</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<th valign="middle" colspan="5" align="left">Race</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;White, Non-Hispanic</td>
<td valign="middle" align="center">1.00 (Reference)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">1.00 (Reference)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Black, Non-Hispanic</td>
<td valign="middle" align="center">0.97 (0.83, 1.12)</td>
<td valign="middle" align="center">0.644</td>
<td valign="middle" align="center">0.83 (0.71, 0.97)</td>
<td valign="middle" align="center">0.018</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Asian, Non-Hispanic</td>
<td valign="middle" align="center">0.61 (0.42, 0.88)</td>
<td valign="middle" align="center">0.008</td>
<td valign="middle" align="center">0.86 (0.58, 1.26)</td>
<td valign="middle" align="center">0.438</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Other race, Non-Hispanic</td>
<td valign="middle" align="center">1.43 (1.24, 1.64)</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">1.41 (1.21, 1.64)</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Hispanic</td>
<td valign="middle" align="center">0.80 (0.67, 0.96)</td>
<td valign="middle" align="center">0.018</td>
<td valign="middle" align="center">0.91 (0.74, 1.11)</td>
<td valign="middle" align="center">0.349</td>
</tr>
<tr>
<th valign="middle" colspan="5" align="left">Marital status</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Married</td>
<td valign="middle" align="center">1.00 (Reference)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">1.00 (Reference)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Divorced</td>
<td valign="middle" align="center">1.34 (1.25, 1.45)</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">1.04 (0.95, 1.14)</td>
<td valign="middle" align="center">0.388</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Widowed</td>
<td valign="middle" align="center">1.75 (1.63, 1.88)</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">1.15 (1.06, 1.25)</td>
<td valign="middle" align="center">0.001</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Single</td>
<td valign="middle" align="center">0.85 (0.77, 0.95)</td>
<td valign="middle" align="center">0.005</td>
<td valign="middle" align="center">0.82 (0.72, 0.92)</td>
<td valign="middle" align="center">0.001</td>
</tr>
<tr>
<th valign="middle" colspan="5" align="left">Educational attainment</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Did not graduate high school</td>
<td valign="middle" align="center">1.00 (Reference)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">1.00 (Reference)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Graduated high school</td>
<td valign="middle" align="center">0.75 (0.64, 0.87)</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">0.96 (0.82, 1.13)</td>
<td valign="middle" align="center">0.661</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Attended college or technical school</td>
<td valign="middle" align="center">0.64 (0.55, 0.74)</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">0.97 (0.83, 1.14)</td>
<td valign="middle" align="center">0.749</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Graduated from college or technical school</td>
<td valign="middle" align="center">0.45 (0.39, 0.52)</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">0.87 (0.74, 1.03)</td>
<td valign="middle" align="center">0.108</td>
</tr>
<tr>
<th valign="middle" colspan="5" align="left">Income level</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&lt; $15,000</td>
<td valign="middle" align="center">1.00 (Reference)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">1.00 (Reference)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;$15,000- $25,000</td>
<td valign="middle" align="center">0.94 (0.82, 1.08)</td>
<td valign="middle" align="center">0.396</td>
<td valign="middle" align="center">0.78 (0.67, 0.91)</td>
<td valign="middle" align="center">0.001</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;$25,000- $35,000</td>
<td valign="middle" align="center">0.77 (0.67, 0.88)</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">0.67 (0.58, 0.78)</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;$35,000- $50,000</td>
<td valign="middle" align="center">0.64 (0.56, 0.73)</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">0.58 (0.50, 0.67)</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;$50,000- $100,000</td>
<td valign="middle" align="center">0.46 (0.41, 0.53)</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">0.47 (0.41, 0.55)</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;$100,000- $200,000</td>
<td valign="middle" align="center">0.35 (0.30, 0.40)</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">0.43 (0.37, 0.51)</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&#x2265; $200,000</td>
<td valign="middle" align="center">0.26 (0.21, 0.31)</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">0.39 (0.32, 0.48)</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<th valign="middle" colspan="5" align="left">Residence</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Urban</td>
<td valign="middle" align="center">1.00 (Reference)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">1.00 (Reference)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Rural</td>
<td valign="middle" align="center">1.24 (1.15, 1.33)</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">1.09 (1.00, 1.18)</td>
<td valign="middle" align="center">0.038</td>
</tr>
<tr>
<th valign="middle" colspan="5" align="left">BMI</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;18.5 &#x2264; BMI &lt; 25.0</td>
<td valign="middle" align="center">1.00 (Reference)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">1.00 (Reference)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;BMI &lt; 18.5</td>
<td valign="middle" align="center">1.19 (0.96, 1.47)</td>
<td valign="middle" align="center">0.120</td>
<td valign="middle" align="center">1.10 (0.87, 1.38)</td>
<td valign="middle" align="center">0.440</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;25.0 &#x2264; BMI &lt; 30.0</td>
<td valign="middle" align="center">1.13 (1.05, 1.21)</td>
<td valign="middle" align="center">0.001</td>
<td valign="middle" align="center">0.92 (0.85, 0.99)</td>
<td valign="middle" align="center">0.025</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;BMI &#x2265; 30.0</td>
<td valign="middle" align="center">1.20 (1.12, 1.29)</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">0.88 (0.81, 0.95)</td>
<td valign="middle" align="center">0.001</td>
</tr>
<tr>
<th valign="middle" colspan="5" align="left">Diabetes</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;No</td>
<td valign="middle" align="center">1.00 (Reference)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">1.00 (Reference)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Yes</td>
<td valign="middle" align="center">2.25 (2.12, 2.4)</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">1.46 (1.36, 1.56)</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<th valign="middle" colspan="5" align="left">Hypertension</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;No</td>
<td valign="middle" align="center">1.00 (Reference)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">1.00 (Reference)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Yes</td>
<td valign="middle" align="center">2.54 (2.39, 2.70)</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">1.63 (1.53, 1.75)</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<th valign="middle" colspan="5" align="left">Dyslipidemia</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;No</td>
<td valign="middle" align="center">1.00 (Reference)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">1.00 (Reference)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Yes</td>
<td valign="middle" align="center">1.99 (1.88, 2.11)</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">1.52 (1.43, 1.62)</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<th valign="middle" colspan="5" align="left">CKD</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;No</td>
<td valign="middle" align="center">1.00 (Reference)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">1.00 (Reference)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Yes</td>
<td valign="middle" align="center">2.69 (2.49, 2.91)</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">1.85 (1.70, 2.01)</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<th valign="middle" colspan="5" align="left">Depression</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;No</td>
<td valign="middle" align="center">1.00 (Reference)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">1.00 (Reference)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Yes</td>
<td valign="middle" align="center">1.34 (1.26, 1.43)</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">1.46 (1.36, 1.57)</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<th valign="middle" colspan="5" align="left">Smoking</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Never smoked</td>
<td valign="middle" align="center">1.00 (Reference)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">1.00 (Reference)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Former smoker</td>
<td valign="middle" align="center">1.65 (1.56, 1.75)</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">1.28 (1.20, 1.37)</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Current smokes some days</td>
<td valign="middle" align="center">1.82 (1.54, 2.15)</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">1.69 (1.41, 2.03)</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Current smokes every day</td>
<td valign="middle" align="center">2.03 (1.83, 2.24)</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">1.69 (1.51, 1.90)</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<th valign="middle" colspan="5" align="left">Physical activity</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Did not meet aerobic recommendations</td>
<td valign="middle" align="center">1.00 (Reference)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">1.00 (Reference)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Meet aerobic recommendations</td>
<td valign="middle" align="center">0.62 (0.58, 0.65)</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">0.78 (0.73, 0.83)</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>BMI, Body mass index; CI, Confidence interval; CKD, Chronic kidney disease; CVD, Cardiovascular disease; OR, Odds ratio.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>Cancer and CVD are the major causes of death globally (<xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B19">19</xref>). In recent years, improvements in diagnostic and therapeutic technologies have markedly extended survival, yielding a growing cohort of cancer survivors (<xref ref-type="bibr" rid="B20">20</xref>). Substantial epidemiological evidence indicates that CVD is the leading cause of death among cancer survivors, excluding cancer as a cause of death (<xref ref-type="bibr" rid="B21">21</xref>), international cardiology and oncology societies increasingly recognize the clinical significance of CVD in cancer survivors (<xref ref-type="bibr" rid="B22">22</xref>). However, the relationship between malignant tumors and the risk of CVD remains debated (<xref ref-type="bibr" rid="B11">11</xref>).</p>
<p>This study, based on the U.S. BRFSS database, employed PSM to assess whether cancer survivors face a high risk of CVD. Additionally, we analyzed risk factors for CVD development in cancer survivors. After rigorous adjustment for confounders and PSM, our study found that cancer survivors face a 10% to 18% increased risk of developing CVD, consistent with most prior studies reporting elevated CVD risk in this population, particularly among those treated with chemotherapy or radiotherapy (<xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B24">24</xref>). In contrast, studies reporting an inverse association between cancer and CVD primarily involved specific cancer types or unique subpopulations (<xref ref-type="bibr" rid="B25">25</xref>, <xref ref-type="bibr" rid="B26">26</xref>). Although we did not analyze CVD risk in survivors of specific cancer types&#x2014;a limitation that future research should address&#x2014;we examined CVD risk in cancer survivors across different demographic subgroups.</p>
<p>Subgroup analyses further validated the consistency of findings across different populations. Among 22 subgroups, 20 demonstrated a positive association between cancer status and CVD risk, reinforcing the robustness of this association. Notably, no significant association was found in diabetes and CKD subgroups, where the extremely high baseline CVD risk may overshadow any additional impact from cancer (<xref ref-type="bibr" rid="B27">27</xref>, <xref ref-type="bibr" rid="B28">28</xref>). Critically, no subgroups showed an inverse association between cancer and CVD risk, a finding corroborated by recent research (<xref ref-type="bibr" rid="B29">29</xref>).</p>
<p>The mechanisms linking cancer to elevated CVD risk are multifaceted. Based on our results and prior studies, we propose several explanations. Shared risk factors and pathogenic pathways, such as aging, hyperglycemia, alcohol use, smoking, and physical inactivity, may contribute to the increased risk (<xref ref-type="bibr" rid="B30">30</xref>). Additionally, cardiac toxicity directly induced by cancer treatments may also play a role, such as those associated with chemotherapy, radiotherapy, and immunotherapy (<xref ref-type="bibr" rid="B31">31</xref>). Cancer-associated hypercoagulability, increasing the risk of arterial and venous thrombosis (<xref ref-type="bibr" rid="B32">32</xref>), and psychological sequelae like stress, depression, and anxiety post-cancer diagnosis and treatment may also independently elevate CVD risk (<xref ref-type="bibr" rid="B33">33</xref>, <xref ref-type="bibr" rid="B34">34</xref>). Of course, as this study is cross-sectional, the association between cancer history and CVD risk may reflect residual confounding, mediation by unmeasured treatment-related factors, or survival bias. The observed higher CVD prevalence among cancer patients may be attributable to age and traditional risk factors; cancer history largely signifies accumulated cardiovascular risk. Therefore, future longitudinal studies are needed to assess temporality and causality.</p>
<p>To identify high-risk subgroups and inform CVD prevention strategies, we analyzed risk factors among cancer survivors. Older age and male sex were related to an elevated risk of CVD, aligning with classical CVD epidemiology (<xref ref-type="bibr" rid="B35">35</xref>). Higher income correlated with lower CVD risk, likely due to better access to cancer treatment, CVD screening, and therapies (<xref ref-type="bibr" rid="B36">36</xref>, <xref ref-type="bibr" rid="B37">37</xref>). Conversely, low income exacerbates financial toxicity, especially in rural areas where access to healthcare is limited (<xref ref-type="bibr" rid="B38">38</xref>). Cardiometabolic comorbidities (including hypertension, dyslipidemia, diabetes, and chronic kidney disease) represent shared risk factors between cancer and CVD. For instance, hypertension induces oxidative stress on arterial walls, a primary mechanism influencing atherosclerosis development (<xref ref-type="bibr" rid="B39">39</xref>), while also exhibiting a particularly strong association with renal cell carcinoma (<xref ref-type="bibr" rid="B40">40</xref>). Atherosclerosis originates from excessive accumulation of low-density lipoprotein beneath the endothelium (<xref ref-type="bibr" rid="B41">41</xref>), while high-fat intake may promote bile acid-mediated carcinogenesis and increase colorectal cancer risk (<xref ref-type="bibr" rid="B42">42</xref>). Among cancer survivors, these comorbidities further elevate the risk of cardiovascular disease (<xref ref-type="bibr" rid="B43">43</xref>, <xref ref-type="bibr" rid="B44">44</xref>). Depression and other mental health factors are also associated with a higher incidence of CVD (<xref ref-type="bibr" rid="B45">45</xref>). Lifestyle factors played a significant role in CVD risk among cancer survivors. Current and former smokers faced elevated CVD risk, as smoking is a shared etiology for cancer and CVD (<xref ref-type="bibr" rid="B46">46</xref>). Adequate aerobic exercise reduced CVD risk by 22%, potentially mitigating chemotherapy-induced cardiotoxicity and coronary artery disease. Surprisingly, overweight/obese cancer survivors show an inverse relationship with CVD risk&#x2014;a finding inconsistent with conventional views that warrants further investigation in prospective studies (<xref ref-type="bibr" rid="B47">47</xref>, <xref ref-type="bibr" rid="B48">48</xref>).</p>
<p>The significantly elevated CVD risk among cancer survivors carries important clinical implications. Multidisciplinary collaboration between oncologists and cardiologists is essential for systematic risk management. Regular CVD risk stratification and monitoring can help identify high-risk individuals for early intervention. Lifestyle modifications, such as smoking cessation and structured aerobic exercise, may reduce CVD incidence and improve long-term quality of life.</p>
<p>This study benefits from several key strengths: 1) A large sample size, enhancing result accuracy; 2) Utilization of multiple analytical approaches (multivariable adjustment, PSM) to robustly demonstrate higher CVD risk among cancer survivors compared with non-cancer controls; 3) Identification of specific CVD risk and protective factors within the cancer survivor population, informing targeted prevention and management. Limitations include: 1) Based on telephone survey data, this retrospective cross-sectional study lacks temporal sequencing, making it difficult to establish causality, and may rely on participants&#x2019; recall and be subject to participant bias; 2) Absence of detailed information on cancer stage, type, and specific treatment regimens limits the ability to assess how these factors influence long-term cardiovascular outcomes. 3) Lack of longitudinal follow-up data within BRFSS prevents assessment of incident CVD risk over time; 4) The predominantly US-based population may limit applicability to other countries and ethnicities. Collectively, these limitations restrict the clinical applicability of the findings in modern cardio-oncology practice. Future prospective studies should include more detailed risk variables and incident CVD events during follow-up period to corroborate the robustness of our results.</p>
</sec>
<sec id="s5" sec-type="conclusions">
<title>Conclusion</title>
<p>There is a significant positive correlation between cancer and CVD risk, and this finding is confirmed across the majority of clinical subgroups. In cancer survivors, the main positive associations with CVD risk are age, hypertension, diabetes, dyslipidemia, CKD, and smoking. This study provides evidence for strengthening CVD risk assessment and prevention efforts among cancer survivors. Due to the study&#x2019;s limitations, large prospective studies are warranted for further validation.</p>
</sec>
</body>
<back>
<sec id="s6" sec-type="data-availability">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Material</bold></xref>. Further inquiries can be directed to the corresponding author.</p></sec>
<sec id="s7" sec-type="author-contributions">
<title>Author contributions</title>
<p>LZ: Software, Methodology, Writing &#x2013; original draft, Data curation, Conceptualization, Visualization, Investigation, Validation, Resources, Project administration, Writing &#x2013; review &amp; editing, Formal analysis, Supervision. WZ: Conceptualization, Formal analysis, Writing &#x2013; original draft, Data curation. YY: Writing &#x2013; original draft,&#xa0;Formal analysis, Data curation, Conceptualization. HR: Conceptualization, Data curation, Writing &#x2013; original draft, Formal analysis. YL: Data curation, Writing &#x2013; original draft, Formal analysis, Conceptualization. YR: Resources, Conceptualization, Writing &#x2013; review &amp; editing, Investigation, Project administration, Validation, Writing &#x2013; original draft, Methodology, Visualization, Supervision, Formal analysis, Software, Data curation.</p></sec>
<ack>
<title>Acknowledgments</title>
<p>The authors would like to extend their sincere gratitude to all personnel involved in the BRFSS database.</p>
</ack>
<sec id="s9" sec-type="COI-statement">
<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></sec>
<sec id="s10" sec-type="ai-statement">
<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 id="s11" sec-type="disclaimer">
<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 id="s12" sec-type="supplementary-material">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fonc.2026.1734601/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fonc.2026.1734601/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Image1.tif" id="SF1" mimetype="image/tiff">
<caption>
<p><xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Figure S1</bold></xref> Cardiovascular disease in cancer survivors vs non-cancer individuals: Case numbers and proportions across clinical subgroups. <bold><bold>(A)</bold></bold> Residence; <bold>(B)</bold> Diabetes; <bold>(C)</bold> Hypertension; <bold><bold>(D)</bold></bold> Dyslipidemia.</p>
</caption></supplementary-material>
<supplementary-material xlink:href="Image2.tif" id="SF2" mimetype="image/tiff">
<caption>
<p><xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Figure S2</bold></xref> Cardiovascular disease in cancer survivors vs non-cancer individuals: Case numbers and proportions across clinical subgroups. <bold><bold>(A)</bold></bold> Chronic kidney disease (CKD); <bold>(B)</bold> Depression; <bold>(C)</bold> Physical activity.</p>
</caption></supplementary-material>
<supplementary-material xlink:href="Image3.tif" id="SF3" mimetype="image/tiff">
<caption>
<p><xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Figure S3</bold></xref> Cardiovascular disease in cancer survivors: Case numbers and proportions across clinical subgroups. <bold><bold>(A)</bold></bold> Educational attainment; <bold><bold>(B)</bold></bold> Income level; <bold>(C)</bold> Residence; <bold>(D)</bold> Body mass index (BMI).</p>
</caption></supplementary-material>
<supplementary-material xlink:href="Image4.tif" id="SF4" mimetype="image/tiff">
<caption>
<p><xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Figure S4</bold></xref> Cardiovascular disease in cancer survivors: Case numbers and proportions across clinical subgroups. <bold><bold><bold>(A)</bold></bold></bold> Diabetes; <bold><bold>(B)</bold></bold> Hypertension; <bold>(C)</bold> Dyslipidemia; <bold>(D)</bold> Chronic kidney disease (CKD).</p>
</caption></supplementary-material>
<supplementary-material xlink:href="Image5.tif" id="SF5" mimetype="image/tiff">
<caption>
<p><xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Figure S5</bold></xref> Cardiovascular disease in cancer survivors: Case numbers and proportions across clinical subgroups. <bold><bold>(A)</bold></bold> Depression; <bold>(B)</bold> Smoking; <bold>(C)</bold> Physical activity.</p>
</caption></supplementary-material>
<supplementary-material xlink:href="Image6.tif" id="SF6" mimetype="image/tiff">
<caption>
<p><xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Figure S6</bold></xref> The forest plot of multivariate logistic regression analysis of cardiovascular disease risk in cancer survivors.</p>
</caption></supplementary-material>
<supplementary-material xlink:href="Table1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document">
<caption>
<p><xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Table S1</bold></xref> Subgroup analysis of cardiovascular disease risk in cancer survivors versus non-cancer individuals after propensity score matching (PSM).</p>
</caption></supplementary-material></sec>
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<fn-group>
<fn id="n1" fn-type="custom" custom-type="edited-by">
<p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/701678">Ariane Vieira Scarlatelli Macedo</ext-link>, Santa Casa of Sao Paulo, Brazil</p></fn>
<fn id="n2" fn-type="custom" custom-type="reviewed-by">
<p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1544095">Agnes S. Kim</ext-link>, UCONN Health, United States</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2981523">Julia Toste</ext-link>, Hospital da Luz Lisboa, Portugal</p></fn>
</fn-group>
<fn-group>
<fn fn-type="abbr" id="abbrev1">
<label>Abbreviations:</label>
<p>BMI: Body Mass Index; BRFSS: Behavioral Risk Factor Surveillance System; CI: Confidence interval; CKD: Chronic kidney disease; CVD: Cardiovascular disease; IQR: Interquartile range; OR: Odds ratio; PSM: Propensity score matching; SMD: Standardized mean difference.</p>
</fn>
</fn-group>
</back>
</article>