<?xml version="1.0" encoding="utf-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.0 20120330//EN" "JATS-journalpublishing1.dtd">
<article article-type="research-article" dtd-version="1.0" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">KJHP</journal-id>
<journal-title-group>
<journal-title>Korean Journal of Health Promotion</journal-title><abbrev-journal-title>Korean J Health Promot</abbrev-journal-title></journal-title-group>
<issn pub-type="ppub">2234-2141</issn>
<issn pub-type="epub">2093-5676</issn>
<publisher>
<publisher-name>Korean Society For Health Promotion And Disease Prevention</publisher-name></publisher></journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.15384/kjhp.2024.00136</article-id>
<article-id pub-id-type="publisher-id">kjhp-2024-00136</article-id>
<article-categories>
<subj-group>
<subject>Original Article</subject></subj-group></article-categories>
<title-group>
<article-title>Influence of Depression and Subjective Health Status on COVID-19 Vaccine Acceptance: Based on the 2021 Community Health Survey</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid">http://orcid.org/0000-0001-5056-6393</contrib-id>
<name><surname>LEE</surname><given-names>Yong Ho</given-names></name>
<degrees>MD</degrees>
<xref ref-type="aff" rid="af1-kjhp-2024-00136"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid">http://orcid.org/0000-0001-9224-2979</contrib-id>
<name><surname>PARK</surname><given-names>Seong-Eon</given-names></name>
<degrees>MD</degrees>
<xref ref-type="aff" rid="af2-kjhp-2024-00136"><sup>2</sup></xref>
<xref ref-type="fn" rid="fn1-kjhp-2024-00136"><sup>*</sup></xref>
</contrib>
<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid">http://orcid.org/0000-0002-0521-4804</contrib-id>
<name><surname>SUNWOO</surname><given-names>Sung</given-names></name>
<degrees>MD</degrees>
<degrees>PhD</degrees>
<xref ref-type="corresp" rid="c1-kjhp-2024-00136"/>
<xref ref-type="aff" rid="af2-kjhp-2024-00136"><sup>2</sup></xref>
</contrib>
<aff id="af1-kjhp-2024-00136">
<label>1</label>Department of Family Medicine, Wonkwang University Sanbon Hospital, Gunpo, <country>Korea</country></aff>
<aff id="af2-kjhp-2024-00136">
<label>2</label>Department of Family Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, <country>Korea</country></aff>
</contrib-group>
<author-notes>
<corresp id="c1-kjhp-2024-00136">Corresponding author: Sung SUNWOO, MD, PhD Department of Family Medicine, Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-ro 43-gil, Songpa-gu, Seoul 05505, Korea Tel: +82-2-3010-3952Fax: +82-2-3010-3815 E-mail: <email>sws@amc.seoul.kr</email></corresp>
<fn id="fn1-kjhp-2024-00136"><label>*</label><p>Current affliation: SOOP Ent Clinic, Wonju, Korea</p></fn>
</author-notes>
<pub-date pub-type="ppub">
<month>9</month>
<year>2024</year></pub-date>
<pub-date pub-type="epub">
<day>30</day>
<month>9</month>
<year>2024</year></pub-date>
<volume>24</volume>
<issue>3</issue>
<fpage>127</fpage>
<lpage>133</lpage>
<history>
<date date-type="received">
<day>10</day>
<month>8</month>
<year>2024</year></date>
<date date-type="rev-recd">
<day>13</day>
<month>9</month>
<year>2024</year></date>
<date date-type="accepted">
<day>19</day>
<month>9</month>
<year>2024</year></date>
</history>
<permissions>
<copyright-statement>Copyright &#x000a9; 2024 The Korean Society of Health Promotion and Disease Prevention</copyright-statement>
<copyright-year>2024</copyright-year>
<license>
<license-p>Articles published in the KJHP are open-access, distributed under the terms of the Creative Commons Attribution License (<ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by-nc/3.0">https://creativecommons.org/licenses/by-nc/3.0</ext-link>), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p></license></permissions>
<abstract>
<sec><title>Background</title>
<p>Coronavirus Disease 2019 (COVID-19) is a novel coronavirus identified in 2019 that exhibited an exceptionally rapid spread. Although the development and administration of COVID-19 vaccines progressed quickly, concerns about side effects and safety persisted. This study utilized data from the 2021 Community Health Survey to analyze the relationship between COVID-19 vaccination and psychosocial factors, including depression and subjective health status.</p></sec>
<sec><title>Methods</title>
<p>Analysis included 203,449 individuals, excluding those who had not received or were ineligible for the COVID-19 vaccine, based on the 2021 Community Health Survey. The chi-square tests assessed sociodemographic and health status differences related to vaccination status. Subjective health status was categorized based on survey responses as &#x02018;good&#x02019; or &#x02018;poor,&#x02019; and depression was assessed using the self-reported Patient Health Questionnaire-9. The association between depression, subjective health status, and vaccination status was examined using chi-square tests, followed by multiple logistic regression to determine independent effects.</p></sec>
<sec><title>Results</title>
<p>Vaccination rates were higher among the elderly, those with lower education, higher income, healthcare workers, and individuals with lower depression, higher subjective health, and chronic conditions like hypertension or diabetes. Significantly lower vaccination rates were observed in those with lower subjective health and Patient Health Questionnaire-9 scores &#x02265;5 or &#x02265;10. Among individuals with chronic illnesses, those with good subjective health had the lowest odds for non-vaccination (odds ratio&#x0003d;0.42; 95% confidence interval, 0.39&#x02013;0.45), while those without chronic illnesses and poor subjective health had the highest odds (odds ratio&#x0003d;1.89; 95% confidence interval, 1.76&#x02013;2.02).</p></sec>
<sec><title>Conclusions</title>
<p>This study found significantly higher odds ratios for vaccine non-receipt among individuals with lower levels of depression and subjective health status. Incorporating psychosocial factors such as depression and subjective health status may be crucial in developing strategies to enhance vaccination rates during future outbreaks of novel infectious diseases.</p></sec>
</abstract>
<kwd-group xml:lang="en">
<kwd>COVID-19</kwd>
<kwd>Vaccination</kwd>
<kwd>Depression</kwd>
<kwd>Subjective health status</kwd>
</kwd-group>
</article-meta></front>
<body>
<sec sec-type="intro">
<title>INTRODUCTION</title>
<p>Coronavirus Disease 2019 (COVID-19), caused by the SARS-CoV-2 virus, was first identified in Wuhan, Hubei Province, China, in November 2019 &#x0005b;<xref ref-type="bibr" rid="b1-kjhp-2024-00136">1</xref>&#x0005d;. In response to the outbreak, the development of COVID-19 vaccines proceeded with unprecedented speed. Following Emergency Use Authorization (EUA), sequential vaccination campaigns were implemented worldwide to mitigate the impact of the pandemic.</p>
<p>The administration of COVID-19 vaccines has been shown to reduce the risk of infection and decrease the fatality rate of COVID-19 &#x0005b;<xref ref-type="bibr" rid="b2-kjhp-2024-00136">2</xref>,<xref ref-type="bibr" rid="b3-kjhp-2024-00136">3</xref>&#x0005d;. According to a June 2022 report from the Korea Disease Control and Prevention Agency, the effectiveness of the fourth dose of the COVID-19 vaccine compared to the third dose was 20.3% for preventing infection, 50.6% for preventing severe disease, and 53.3% for preventing death &#x0005b;<xref ref-type="bibr" rid="b4-kjhp-2024-00136">4</xref>&#x0005d;. As of October 2022, the vaccination coverage rates in the Korean population were 87.9% for the first dose, 87.1% for the second dose, 65.6% for the third dose, and 14.7% for the fourth dose &#x0005b;<xref ref-type="bibr" rid="b5-kjhp-2024-00136">5</xref>&#x0005d;.</p>
<p>However, concerns about the safety of COVID-19 vaccines persist. A U.S. survey revealed that 31.6% of 991 participants would decline vaccination due to concerns about the vaccine itself and the need for more information &#x0005b;<xref ref-type="bibr" rid="b6-kjhp-2024-00136">6</xref>&#x0005d;. Similarly, a 2021 survey in South Korea found that 49.4% of respondents who were unvaccinated cited perceived high risks associated with vaccination, rather than health issues, as the primary reason for their hesitancy &#x0005b;<xref ref-type="bibr" rid="b7-kjhp-2024-00136">7</xref>&#x0005d;.</p>
<p>Vaccination is essential for public health in the context of emerging infectious diseases. Despite its effectiveness in preventing such diseases, subjective perceptions about vaccines may result in delays or insufficient vaccination coverage. Previous studies have shown that subjective health status &#x0005b;<xref ref-type="bibr" rid="b8-kjhp-2024-00136">8</xref>,<xref ref-type="bibr" rid="b9-kjhp-2024-00136">9</xref>&#x0005d; and depression &#x0005b;<xref ref-type="bibr" rid="b10-kjhp-2024-00136">10</xref>,<xref ref-type="bibr" rid="b11-kjhp-2024-00136">11</xref>&#x0005d; can influence vaccination behavior for general or COVID-19 vaccines, but no research has directly analyzed the relationship between these factors. This study aims to evaluate the impact of COVID-19 vaccination on individuals by analyzing data from the Community Health Survey. It examines the relationship between demographic characteristics, depression, subjective health status, and COVID-19 vaccination.</p>
</sec>
<sec sec-type="methods">
<title>METHODS</title>
<sec>
<title>Study participants</title>
<p>Based on Article 2, Clause 2 of the Enforcement Rule of the Bioethics and Safety Act, this study does not fall under human subject research and is therefore exempt from review.</p>
<p>This study utilized raw data from the 2021 Community Health Survey, an annual statistical survey conducted by the Korea Disease Control and Prevention Agency. The survey assesses the health status of South Korean residents and informs evidence-based health policies. It targets adults aged 19 and older across various regions and housing types. Conducted from August 16 to October 31, 2021, the survey included 229,242 participants. For this study, five individuals who did not report their COVID-19 vaccination status and 25,788 individuals ineligible for vaccination were excluded from the analysis (<xref rid="f1-kjhp-2024-00136" ref-type="fig">Fig. 1</xref>).</p>
<p>The survey questionnaire was structured into household and individual sections, encompassing 18 domains and 163 questions. The household section addressed household type, basic livelihood support status, annual income, and changes in income and essential expenditures due to COVID-19. The individual section covered a range of topics including smoking, alcohol consumption, safety awareness, physical activity, dietary habits, obesity, weight management, oral health, mental health, vaccinations, screenings, chronic conditions (e.g., hypertension, diabetes), healthcare utilization, accidents, addictions, activity limitations, quality of life, social and physical environment, personal hygiene, educational and economic activities, and COVID-19-related issues.</p>
</sec>
<sec>
<title>Variables definitions</title>
<p>This study utilized demographic variables including age, sex, education level, household income, and health literacy. Age was categorized into two groups: 19&#x02013;39 years and 40 years or older. Education level was classified into three categories: less than middle school, high school graduate, and some college or higher. Household income, measured as a monthly average, was divided into three groups: less than 3 million KRW, 3 million to less than 6 million KRW, and 6 million KRW or more. Health literacy was assessed based on responses to items concerning &#x02018;understanding medical explanations from healthcare providers&#x02019; and &#x02018;comprehension of information from sources such as newspapers, magazines, and the internet.&#x02019;</p>
<p>The individual health status variables used in this study included subjective health status, depression, and morbidity (hypertension, diabetes). Subjective health status was reclassified from the survey items, with &#x02018;very good,&#x02019; &#x02018;good,&#x02019; and &#x02018;fair&#x02019; being categorized as good subjective health status, and &#x02018;poor&#x02019; and &#x02018;very poor&#x02019; being categorized as poor subjective health status. For depression, the Patient Health Questionnaire-9 (PHQ-9), a self-reported survey consisting of nine items that correspond to the diagnostic criteria for major depressive disorder, was used from the survey items &#x0005b;<xref ref-type="bibr" rid="b12-kjhp-2024-00136">12</xref>&#x0005d;. A score of 10 or higher, which indicates moderate depression, was defined as having depression, while a score of less than 10 was defined as not having depression.</p>
</sec>
<sec>
<title>Statistics analysis</title>
<p>In adherence to the guidelines for utilizing raw data from the 2021 Community Health Survey, the analysis employed a complex sample design with weighted data. Chi-square tests were conducted to assess differences in COVID-19 vaccination status based on demographic characteristics and individual health status variables.</p>
<p>To further explore the relationship between depression and vaccination status, the analysis excluded five non-respondents and 25,788 individuals who had not yet been scheduled for vaccination among the unvaccinated. The chi-square tests were then conducted to examine the association between vaccination status, depression, and subjective health status. Depression was categorized into two groups based on PHQ-9 scores: those with a score of 5 or higher and those with a score of 10 or higher.</p>
<p>To determine whether depression and subjective health status independently influence COVID-19 vaccination, multiple logistic regression analysis was performed, adjusting for age, sex, education level, household income, health literacy, and morbidity (hypertension and diabetes). IBM SPSS Statistics version 24.0 (IBM Corp.) was used for the analysis, and the statistical significance level was set at less than 0.05.</p>
</sec>
</sec>
<sec sec-type="results">
<title>RESULTS</title>
<sec>
<title>General characteristics of study participants</title>
<p><xref rid="t1-kjhp-2024-00136" ref-type="table">Table 1</xref> summarizes the basic characteristics of the study participants. Higher vaccination rates were associated with older age, lower educational levels, higher income, better comprehension of medical explanations, lower depression levels, higher subjective health status, and the presence of hypertension or diabetes. Sex and the ability to understand written materials, such as newspapers and magazines, did not show a significant relationship with vaccination rates.</p>
</sec>
<sec>
<title>Comparison of COVID-19 vaccination according to depression and subjective health status</title>
<p><xref rid="t2-kjhp-2024-00136" ref-type="table">Table 2</xref> compares COVID-19 vaccination rates by levels of depression and subjective health status. Groups with a PHQ-9 score of 5 or higher (88.5%), a PHQ-9 score of 10 or higher (84.4%), and those reporting Poor subjective health status (89.0%) exhibited significantly lower vaccination rates compared to their counterparts (<italic>P</italic>&lt;0.001).</p>
</sec>
<sec>
<title>Association between depression, subjective health status, and non-vaccination</title>
<p><xref rid="t3-kjhp-2024-00136" ref-type="table">Table 3</xref> presents the results of logistic regression analyses investigating the relationship between depression, subjective health status, and non-vaccination. Given that vaccination policy in South Korea prioritized older adults &#x0005b;<xref ref-type="bibr" rid="b13-kjhp-2024-00136">13</xref>&#x0005d;, a univariate analysis adjusted for age was performed. Additionally, a multivariate analysis was conducted, adjusting for age, education level, income, health literacy, and comorbidities (hypertension and diabetes).</p>
<p>In the age-adjusted analysis, all groups exhibited significantly higher odds ratios (ORs) for non-vaccination: PHQ-9 scores over 5 (OR&#x0003d;1.63; 95% confidence interval &#x0005b;CI&#x0005d;, 1.56&#x02013;1.71), PHQ-9 scores over 10 (OR&#x0003d;2.32; 95% CI, 2.12&#x02013;2.54), and poor subjective health status (OR&#x0003d;2.73; 95% CI, 2.58&#x02013;2.88). The multivariate analysis also revealed significantly higher ORs for non-vaccination in all groups: PHQ-9 scores over 5 (OR&#x0003d;1.52; 95% CI, 1.45&#x02013;1.59), PHQ-9 scores over 10 (OR&#x0003d;2.00; 95% CI, 1.82&#x02013;2.19), and poor subjective health status (OR&#x0003d;2.49; 95% CI, 2.35&#x02013;2.64).</p>
</sec>
<sec>
<title>Impact of chronic diseases on subjective health status</title>
<p>This study classified depression and subjective health status as psychosocial factors and hypothesized that specific chronic diseases might influence subjective health status. For sensitivity analysis, participants were grouped into four categories: (1) good subjective health status without chronic diseases, (2) good subjective health status with chronic diseases, (3) poor subjective health status without chronic diseases, and (4) poor subjective health status with chronic diseases. Chronic diseases considered in the analysis were hypertension and diabetes, as identified in the 2021 Community Health Survey.</p>
<p><xref rid="t4-kjhp-2024-00136" ref-type="table">Table 4</xref> presents the results showing that individuals with good subjective health status and chronic disease had the lowest OR for non-vaccination (OR&#x0003d;0.42; 95% CI, 0.39&#x02013;0.45). Conversely, individuals with poor subjective health status, even without chronic disease, had the highest OR for non-vaccination (OR&#x0003d;1.89; 95% CI, 1.76&#x02013;2.02). Those with both chronic diseases and poor subjective health status had a high OR (OR&#x0003d;1.13; 95% CI, 1.06&#x02013;1.21). These findings indicate that subjective health status influences vaccination rates, regardless of the presence of chronic disease.</p>
</sec>
</sec>
<sec sec-type="discussion">
<title>DISCUSSION</title>
<p>This study explored the relationship between depression, subjective health status, and COVID-19 vaccination. Using data from the 2021 Community Health Survey, we identified that higher vaccination rates were linked to older age, lower education levels, higher income, better understanding of medical explanations, lower depression levels, better subjective health status, and the presence of hypertension and diabetes. Logistic regression analysis revealed that higher levels of depression and poorer subjective health status were associated with lower vaccination rates.</p>
<p>Despite its rapid emergence and spread, COVID-19 has shown improved prevention efficacy through repeated vaccinations, akin to other novel infectious diseases &#x0005b;<xref ref-type="bibr" rid="b2-kjhp-2024-00136">2</xref>,<xref ref-type="bibr" rid="b3-kjhp-2024-00136">3</xref>&#x0005d;. The swift development and deployment of COVID-19 vaccines under EUA, coupled with limited initial clinical data, raised concerns about their safety. Extensive media coverage of adverse events associated with these vaccines under EUA has heightened public anxiety. A 2021 survey conducted by a South Korean broadcaster revealed that 41.8% of 1,093 respondents considered the COVID-19 vaccines to be &#x0201c;somewhat unsafe&#x0201d; or &#x0201c;not safe at all&#x0201d; &#x0005b;<xref ref-type="bibr" rid="b7-kjhp-2024-00136">7</xref>&#x0005d;. Additionally, another South Korean study found that individuals exposed to media reports emphasizing vaccine side effects perceived a higher risk associated with COVID-19 vaccination and were consequently less likely to express intent to get vaccinated &#x0005b;<xref ref-type="bibr" rid="b14-kjhp-2024-00136">14</xref>&#x0005d;.</p>
<p>In this study, we found that poorer self-perceived health status was significantly associated with lower COVID-19 vaccination rates. This finding aligns with previous research indicating that individuals with poorer subjective health status are more likely to engage in health check-ups and receive influenza vaccinations &#x0005b;<xref ref-type="bibr" rid="b8-kjhp-2024-00136">8</xref>,<xref ref-type="bibr" rid="b9-kjhp-2024-00136">9</xref>&#x0005d;. Conversely, subjective health status is positively correlated with most health-promoting activities &#x0005b;<xref ref-type="bibr" rid="b8-kjhp-2024-00136">8</xref>&#x0005d;. This trend suggests that individuals with worse subjective health status may suffer from chronic illnesses, leading to increased participation in &#x0201c;selective health-promoting activities&#x0201d; such as influenza vaccination and routine health screenings. It can be inferred that as disease prevalence rises, these individuals are more likely to frequent healthcare facilities and be exposed to health-related information, thereby increasing their &#x0201c;health-related sensitivity&#x0201d; &#x0005b;<xref ref-type="bibr" rid="b15-kjhp-2024-00136">15</xref>,<xref ref-type="bibr" rid="b16-kjhp-2024-00136">16</xref>&#x0005d;.</p>
<p>Our study also indicates a relationship between depression and COVID-19 vaccination status. This finding is consistent with prior research demonstrating that mental health conditions impact vaccine willingness. A Japanese study reported that mental health issues such as depression, generalized anxiety, and low levels of fear regarding COVID-19 are associated with vaccine hesitancy or indecision &#x0005b;<xref ref-type="bibr" rid="b10-kjhp-2024-00136">10</xref>&#x0005d;. Similarly, an American study found that individuals with depressive symptoms were more likely to believe misinformation about vaccines &#x0005b;<xref ref-type="bibr" rid="b11-kjhp-2024-00136">11</xref>&#x0005d;. This suggests that individuals with depression may perceive fewer benefits from vaccination due to distorted information, potentially leading to lower vaccination rates.</p>
<p>Factors positively influencing vaccination uptake include self-efficacy and perceived benefits, which are among the most significant determinants &#x0005b;<xref ref-type="bibr" rid="b17-kjhp-2024-00136">17</xref>&#x0005d;. This is consistent with previous research on both influenza vaccination intentions and COVID-19 vaccine uptake &#x0005b;<xref ref-type="bibr" rid="b18-kjhp-2024-00136">18</xref>,<xref ref-type="bibr" rid="b19-kjhp-2024-00136">19</xref>&#x0005d;. Self-efficacy is defined as an individual&#x02019;s belief in their ability to successfully perform a task, including the completion of subsequent vaccine doses &#x0005b;<xref ref-type="bibr" rid="b18-kjhp-2024-00136">18</xref>&#x0005d;. A well-established correlation exists between self-efficacy and depression &#x0005b;<xref ref-type="bibr" rid="b20-kjhp-2024-00136">20</xref>&#x0005d;. The reduced self-efficacy often observed in individuals with depression may contribute to lower vaccination rates within this population.</p>
<p>From the perspective of perceived benefits and vaccination rates, it is reasonable to assert that an increase in perceived benefits of vaccination correlates with higher vaccination rates. A recent study involving American adults found that the risk of believing misinformation about the COVID-19 vaccine escalates with the severity of depressive symptoms &#x0005b;<xref ref-type="bibr" rid="b21-kjhp-2024-00136">21</xref>&#x0005d;. This suggests that individuals with depression are more susceptible to accepting distorted information about the vaccine, which may adversely affect their perception of its benefits.</p>
<p>The limitations of this study are as follows. First, this study utilized data from the Community Health Survey which is cross-sectional in nature. It is unable to establish direct causal relationships or temporal sequences between self-perceived health status, depression, and vaccination status. Second, the assessment of depression and self-perceived health status was dichotomous, restricting the ability to perform more detailed quantitative analyses. Third, although adjustments were made for confounding variables within the Community Health Survey, factors not included in the dataset&#x02014;such as prior adverse vaccine reactions, specific government policies at the time of vaccination, and the prevailing epidemic conditions&#x02014;could not be accounted for. Fourth, this study considered hypertension and diabetes as chronic diseases related to subjective health status and depression but did not account for the potential influence of other chronic disease on prevalence and vaccination status.</p>
<p>Despite its limitations, this study demonstrates an association between vaccination rates and psychosocial factors concerning COVID-19 vaccination among the South Korean population. For future public health policies addressing emerging infectious diseases, it is crucial to consider various psychosocial factors. Ensuring the dissemination of accurate vaccine information and implementing strategies to enhance individuals&#x02019; self-efficacy and perceived benefits of vaccination can aid in the development of more effective prevention policies.</p>
</sec>
</body>
<back>
<fn-group>
<fn fn-type="participating-researchers"><p><bold>AUTHOR CONTRIBUTIONS</bold></p>
<p>Dr. Sung SUNWOO had full access to all of the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis. All authors reviewed this manuscript and agreed to individual contributions.</p>
<p>Conceptualization: YHL and SEP. Data curation: YHL and SEP. Formal analysis: YHL and SEP. Investigation: YHL. Methodology: YHL. Software: YHL. Validation: YHL. Writing&#x02013;original draft: YHL. Writing&#x02013;review &amp; editing: SS.</p></fn>
<fn fn-type="conflict">
<p><bold>CONFLICTS OF INTEREST</bold></p>
<p>No existing or potential conflict of interest relevant to this article was reported.</p>
</fn>
<fn fn-type="financial-disclosure"><p><bold>FUNDING</bold></p>
<p>None.</p></fn>
<fn fn-type="other"><p><bold>DATA AVAILABILITY</bold></p>
<p>The data presented in this study are available upon reasonable request from the corresponding author.</p></fn>
<fn fn-type="other"><p><bold>ACKNOWLEDGMENTS</bold></p>
<p>We express sincere appreciation to the patients and medical staffs of Asan Medical Center, Seoul for all the support throughout the process.</p></fn>
</fn-group>
<ref-list>
<title>REFERENCES</title>
<ref id="b1-kjhp-2024-00136">
<label>1</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Zhu</surname><given-names>N</given-names></name>
<name><surname>Zhang</surname><given-names>D</given-names></name>
<name><surname>Wang</surname><given-names>W</given-names></name>
<name><surname>Li</surname><given-names>X</given-names></name>
<name><surname>Yang</surname><given-names>B</given-names></name>
<name><surname>Song</surname><given-names>J</given-names></name>
<etal/>
</person-group>
<article-title>A novel coronavirus from patients with pneumonia in China, 2019</article-title>
<source>N Engl J Med</source>
<year>2020</year>
<volume>382</volume>
<issue>8</issue>
<fpage>727</fpage>
<lpage>33</lpage>
</element-citation></ref>
<ref id="b2-kjhp-2024-00136">
<label>2</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Arbel</surname><given-names>R</given-names></name>
<name><surname>Hammerman</surname><given-names>A</given-names></name>
<name><surname>Sergienko</surname><given-names>R</given-names></name>
<name><surname>Friger</surname><given-names>M</given-names></name>
<name><surname>Peretz</surname><given-names>A</given-names></name>
<name><surname>Netzer</surname><given-names>D</given-names></name>
<etal/>
</person-group>
<article-title>bnt162b2 vaccine booster and mortality due to Covid-19</article-title>
<source>N Engl J Med</source>
<year>2021</year>
<volume>385</volume>
<issue>26</issue>
<fpage>2413</fpage>
<lpage>20</lpage>
</element-citation></ref>
<ref id="b3-kjhp-2024-00136">
<label>3</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Barda</surname><given-names>N</given-names></name>
<name><surname>Dagan</surname><given-names>N</given-names></name>
<name><surname>Cohen</surname><given-names>C</given-names></name>
<name><surname>Hern&#x000e1;n</surname><given-names>MA</given-names></name>
<name><surname>Lipsitch</surname><given-names>M</given-names></name>
<name><surname>Kohane</surname><given-names>IS</given-names></name>
<etal/>
</person-group>
<article-title>Effectiveness of a third dose of the BNT162b2 mRNA COVID-19 vaccine for preventing severe outcomes in Israel: an observational study</article-title>
<source>Lancet</source>
<year>2021</year>
<volume>398</volume>
<issue>10316</issue>
<fpage>2093</fpage>
<lpage>100</lpage>
</element-citation></ref>
<ref id="b4-kjhp-2024-00136">
<label>4</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Kim</surname><given-names>YY</given-names></name>
<name><surname>Jang</surname><given-names>EJ</given-names></name>
<name><surname>Kim</surname><given-names>RK</given-names></name>
<name><surname>Park</surname><given-names>SK</given-names></name>
<name><surname>Lee</surname><given-names>JH</given-names></name>
<name><surname>Park</surname><given-names>YJ</given-names></name>
<etal/>
</person-group>
<article-title>Analysis of the preventive effect of the fourth coronavirus disease vaccine dose in immunocompromised individuals and residents of elderly care hospitals and facilities</article-title>
<source>Public Health Wkly Rep</source>
<year>2022</year>
<volume>15</volume>
<issue>28</issue>
<fpage>1989</fpage>
<lpage>95</lpage>
</element-citation></ref>
<ref id="b5-kjhp-2024-00136">
<label>5</label>
<element-citation publication-type="web">
<person-group person-group-type="author">
<collab>Korea Disease Control and Prevention Agency</collab>
</person-group>
<article-title>COVID19 domestic outbreak and vaccination status [Internet]</article-title>
<publisher-name>Korea Disease Control and Prevention Agency</publisher-name>
<year>2022</year>
<comment>[cited Jun 5, 2024]. Available from: <ext-link xlink:href="https://www.korea.kr/briefing/pressReleaseView.do?newsId&#x0003d;156532149&amp;pWise&#x0003d;main&amp;pWiseMain&#x0003d;E3&#x00023;pressRelease" ext-link-type="uri">https://www.korea.kr/briefing/pressReleaseView.do?newsId&#x0003d;156532149&amp;pWise&#x0003d;main&amp;pWiseMain&#x0003d;E3&#x00023;pressRelease</ext-link></comment>
</element-citation></ref>
<ref id="b6-kjhp-2024-00136">
<label>6</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Fisher</surname><given-names>KA</given-names></name>
<name><surname>Bloomstone</surname><given-names>SJ</given-names></name>
<name><surname>Walder</surname><given-names>J</given-names></name>
<name><surname>Crawford</surname><given-names>S</given-names></name>
<name><surname>Fouayzi</surname><given-names>H</given-names></name>
<name><surname>Mazor</surname><given-names>KM</given-names></name>
</person-group>
<article-title>Attitudes toward a potential SARS-CoV-2 vaccine: a survey of U.S. adults</article-title>
<source>Ann Intern Med</source>
<year>2020</year>
<volume>173</volume>
<issue>12</issue>
<fpage>964</fpage>
<lpage>73</lpage>
</element-citation></ref>
<ref id="b7-kjhp-2024-00136">
<label>7</label>
<element-citation publication-type="web">
<person-group person-group-type="author">
<collab>Korea Broadcasting System (KBS)</collab>
</person-group>
<article-title>Survey: September result report on trends in general public perception of COVID-19 [Internet]</article-title>
<publisher-name>KBS</publisher-name>
<year>2021</year>
<comment>[cited Jun 5, 2024]. Available: <ext-link xlink:href="https://news.kbs.co.kr/datafile/2021/09/27/305671632701762810.pdf" ext-link-type="uri">https://news.kbs.co.kr/datafile/2021/09/27/305671632701762810.pdf</ext-link></comment>
</element-citation></ref>
<ref id="b8-kjhp-2024-00136">
<label>8</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Moon</surname><given-names>SS</given-names></name>
<name><surname>Lee</surname><given-names>SB</given-names></name>
</person-group>
<article-title>A study of health behavior through comparative analysis of self-perceived health status and health examination results</article-title>
<source>J Korean Health Educ Promot</source>
<year>2001</year>
<volume>18</volume>
<issue>3</issue>
<fpage>11</fpage>
<lpage>36</lpage>
</element-citation></ref>
<ref id="b9-kjhp-2024-00136">
<label>9</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>An</surname><given-names>YI</given-names></name>
<name><surname>Choi</surname><given-names>DH</given-names></name>
<name><surname>Lee</surname><given-names>TY</given-names></name>
<name><surname>Park</surname><given-names>SJ</given-names></name>
<name><surname>Jung</surname><given-names>MC</given-names></name>
<name><surname>Jang</surname><given-names>H</given-names></name>
<etal/>
</person-group>
<article-title>Association between self-reported health status and influenza vaccination in Korean adults: analysis of the 2014&#x02013;2015 Korea national health and nutrition examination survey</article-title>
<source>Korean J Fam Pract</source>
<year>2021</year>
<volume>11</volume>
<issue>4</issue>
<fpage>247</fpage>
<lpage>55</lpage>
</element-citation></ref>
<ref id="b10-kjhp-2024-00136">
<label>10</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Sekizawa</surname><given-names>Y</given-names></name>
<name><surname>Hashimoto</surname><given-names>S</given-names></name>
<name><surname>Denda</surname><given-names>K</given-names></name>
<name><surname>Ochi</surname><given-names>S</given-names></name>
<name><surname>So</surname><given-names>M</given-names></name>
</person-group>
<article-title>Association between COVID-19 vaccine hesitancy and generalized trust, depression, generalized anxiety, and fear of COVID-19</article-title>
<source>BMC Public Health</source>
<year>2022</year>
<volume>22</volume>
<issue>1</issue>
<fpage>126</fpage>
</element-citation></ref>
<ref id="b11-kjhp-2024-00136">
<label>11</label>
<element-citation publication-type="book">
<person-group person-group-type="author">
<name><surname>Maddux</surname><given-names>JE</given-names></name>
<name><surname>Meier</surname><given-names>LJ</given-names></name>
</person-group>
<chapter-title>Self-efficacy and depression</chapter-title>
<person-group person-group-type="editor">
<name><surname>Maddux</surname><given-names>JE</given-names></name>
</person-group>
<source>Self-efficacy, adaptation, and adjustment: theory, research, and application</source>
<publisher-name>Springer</publisher-name>
<year>1995</year>
<fpage>143</fpage>
<lpage>69</lpage>
</element-citation></ref>
<ref id="b12-kjhp-2024-00136">
<label>12</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Kroenke</surname><given-names>K</given-names></name>
<name><surname>Spitzer</surname><given-names>RL</given-names></name>
<name><surname>Williams</surname><given-names>JB</given-names></name>
</person-group>
<article-title>The PHQ-9: validity of a brief depression severity measure</article-title>
<source>J Gen Intern Med</source>
<year>2001</year>
<volume>16</volume>
<issue>9</issue>
<fpage>606</fpage>
<lpage>13</lpage>
</element-citation></ref>
<ref id="b13-kjhp-2024-00136">
<label>13</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Kwon</surname><given-names>SL</given-names></name>
<name><surname>Oh</surname><given-names>J</given-names></name>
</person-group>
<article-title>COVID-19 vaccination program in South Korea: a long journey toward a new normal</article-title>
<source>Health Policy Technol</source>
<year>2022</year>
<volume>11</volume>
<issue>2</issue>
<fpage>100601</fpage>
</element-citation></ref>
<ref id="b14-kjhp-2024-00136">
<label>14</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Hong</surname><given-names>J</given-names></name>
<name><surname>Ahn</surname><given-names>S</given-names></name>
</person-group>
<article-title>COVID-19 media reports and vaccination intentions: mediating effects of infection susceptibility and susceptibility to adverse effects of vaccination</article-title>
<source>Korean J Journal Commun Stud</source>
<year>2022</year>
<volume>66</volume>
<issue>1</issue>
<fpage>5</fpage>
<lpage>42</lpage>
</element-citation></ref>
<ref id="b15-kjhp-2024-00136">
<label>15</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Park</surname><given-names>MB</given-names></name>
<name><surname>Kim</surname><given-names>CB</given-names></name>
<name><surname>Joo</surname><given-names>HS</given-names></name>
</person-group>
<article-title>Factors influencing on influenza vaccination coverage</article-title>
<source>J Korea Content Assoc</source>
<year>2013</year>
<volume>13</volume>
<issue>4</issue>
<fpage>300</fpage>
<lpage>11</lpage>
</element-citation></ref>
<ref id="b16-kjhp-2024-00136">
<label>16</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Kee</surname><given-names>SY</given-names></name>
<name><surname>Lee</surname><given-names>JS</given-names></name>
<name><surname>Cheong</surname><given-names>HJ</given-names></name>
<name><surname>Chun</surname><given-names>BC</given-names></name>
<name><surname>Song</surname><given-names>JY</given-names></name>
<name><surname>Choi</surname><given-names>WS</given-names></name>
<etal/>
</person-group>
<article-title>Influenza vaccine coverage rates and perceptions on vaccination in South Korea</article-title>
<source>J Infect</source>
<year>2007</year>
<volume>55</volume>
<issue>3</issue>
<fpage>273</fpage>
<lpage>81</lpage>
</element-citation></ref>
<ref id="b17-kjhp-2024-00136">
<label>17</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Noh</surname><given-names>SY</given-names></name>
<name><surname>Son</surname><given-names>SM</given-names></name>
<name><surname>Yoo</surname><given-names>KH</given-names></name>
<name><surname>Lee</surname><given-names>KS</given-names></name>
</person-group>
<article-title>Factors influencing COVID-19 vaccine booster shot in adults in their 20s-50s: focusing on the health belif model</article-title>
<source>Korea J Health Educ Promot</source>
<year>2022</year>
<volume>39</volume>
<issue>1</issue>
<fpage>11</fpage>
<lpage>23</lpage>
</element-citation></ref>
<ref id="b18-kjhp-2024-00136">
<label>18</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Kim</surname><given-names>YH</given-names></name>
<name><surname>Heo</surname><given-names>EJ</given-names></name>
<name><surname>Lim</surname><given-names>HS</given-names></name>
<name><surname>Park</surname><given-names>EJ</given-names></name>
</person-group>
<article-title>A study on the impact of health belief model on the prevalence of influenza vaccination intention</article-title>
<source>J Humanit Soc Sci</source>
<year>2017</year>
<volume>8</volume>
<issue>5</issue>
<fpage>149</fpage>
<lpage>66</lpage>
</element-citation></ref>
<ref id="b19-kjhp-2024-00136">
<label>19</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Shmueli</surname><given-names>L</given-names></name>
</person-group>
<article-title>Predicting intention to receive COVID-19 vaccine among the general population using the health belief model and the theory of planned behavior model</article-title>
<source>BMC Public Health</source>
<year>2021</year>
<volume>21</volume>
<issue>1</issue>
<fpage>804</fpage>
</element-citation></ref>
<ref id="b20-kjhp-2024-00136">
<label>20</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Muris</surname><given-names>P</given-names></name>
</person-group>
<article-title>Relationships between self-efficacy and symptoms of anxiety disorders and depression in a normal adolescent sample</article-title>
<source>Pers Individ Dif</source>
<year>2002</year>
<volume>32</volume>
<issue>2</issue>
<fpage>337</fpage>
<lpage>48</lpage>
</element-citation></ref>
<ref id="b21-kjhp-2024-00136">
<label>21</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Perlis</surname><given-names>RH</given-names></name>
<name><surname>Ognyanova</surname><given-names>K</given-names></name>
<name><surname>Santillana</surname><given-names>M</given-names></name>
<name><surname>Lin</surname><given-names>J</given-names></name>
<name><surname>Druckman</surname><given-names>J</given-names></name>
<name><surname>Lazer</surname><given-names>D</given-names></name>
<etal/>
</person-group>
<article-title>Association of major depressive symptoms with endorsement of COVID-19 vaccine misinformation among US adults</article-title>
<source>JAMA Netw Open</source>
<year>2022</year>
<volume>5</volume>
<issue>1</issue>
<elocation-id>e2145697</elocation-id>
</element-citation></ref></ref-list>
<sec sec-type="display-objects">
<title>Figure and Tables</title>
<fig id="f1-kjhp-2024-00136" position="float">
<label>Fig. 1.</label><caption><p>Flow chart of study participants.</p></caption>
<graphic xlink:href="kjhp-2024-00136f1.tif"/></fig>
<table-wrap id="t1-kjhp-2024-00136" position="float">
<label>Table 1.</label>
<caption><p>Basic characteristics of participants</p></caption>
<table rules="groups" frame="hsides">
<thead>
<tr>
<th rowspan="2" valign="middle" align="left">Variable</th>
<th rowspan="2" valign="middle" align="center">Total</th>
<th colspan="2" valign="middle" align="center">COVID-19 vaccination<hr/></th>
<th rowspan="2" valign="middle" align="center"><italic>P</italic>-value</th>
</tr>
<tr>
<th valign="middle" align="center">Yes</th>
<th valign="middle" align="center">No</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Age (yr)</td>
<td valign="top" align="center">203,449</td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;19&#x02013;29</td>
<td valign="top" align="center">16,995</td>
<td valign="top" align="center">14,434 (84.9)</td>
<td valign="top" align="center">2,561 (15.1)</td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;30&#x02013;39</td>
<td valign="top" align="center">19,132</td>
<td valign="top" align="center">15,975 (83.5)</td>
<td valign="top" align="center">3,156 (16.5)</td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;40&#x02013;49</td>
<td valign="top" align="center">25,941</td>
<td valign="top" align="center">23,583 (90.9)</td>
<td valign="top" align="center">2,358 (9.1)</td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;50&#x02013;59</td>
<td valign="top" align="center">41,423</td>
<td valign="top" align="center">39,150 (94.5)</td>
<td valign="top" align="center">2,273 (5.5)</td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;60&#x02013;69</td>
<td valign="top" align="center">47,332</td>
<td valign="top" align="center">45,117 (95.3)</td>
<td valign="top" align="center">2,215 (4.7)</td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;&#x02265;70</td>
<td valign="top" align="center">52,626</td>
<td valign="top" align="center">49,808 (94.6)</td>
<td valign="top" align="center">2,818 (5.4)</td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left">Sex</td>
<td valign="top" align="center">203,449</td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center">0.542</td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;Male</td>
<td valign="top" align="center">91,463</td>
<td valign="top" align="center">84,332 (92.2)</td>
<td valign="top" align="center">7,131 (7.8)</td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;Female</td>
<td valign="top" align="center">111,986</td>
<td valign="top" align="center">103,736 (92.6)</td>
<td valign="top" align="center">8,250 (7.4)</td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left">Education (yr)</td>
<td valign="top" align="center">203,318</td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;Less than middle school</td>
<td valign="top" align="center">72,163</td>
<td valign="top" align="center">68,202 (94.5)</td>
<td valign="top" align="center">3,961 (5.5)</td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;High school graduate</td>
<td valign="top" align="center">58,227</td>
<td valign="top" align="center">53,721 (92.3)</td>
<td valign="top" align="center">4,506 (7.7)</td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;College or higher</td>
<td valign="top" align="center">72,928</td>
<td valign="top" align="center">66,027 (90.5)</td>
<td valign="top" align="center">6,901 (9.5)</td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left">Household income (KRW)</td>
<td valign="top" align="center">202,555</td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;&lt;3 million</td>
<td valign="top" align="center">98,435</td>
<td valign="top" align="center">90,844 (92.3)</td>
<td valign="top" align="center">7,591 (7.7)</td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;3&#x02013;6 million</td>
<td valign="top" align="center">68,815</td>
<td valign="top" align="center">63,300 (92.0)</td>
<td valign="top" align="center">5,515 (8.0)</td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;&#x02265;6 million</td>
<td valign="top" align="center">35,305</td>
<td valign="top" align="center">33,118 (93.8)</td>
<td valign="top" align="center">2,187 (6.2)</td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left">Health literacy (healthcare providers)<sup>a</sup></td>
<td valign="top" align="center">203,274</td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;No</td>
<td valign="top" align="center">47,822</td>
<td valign="top" align="center">43,923 (91.8)</td>
<td valign="top" align="center">3,899 (8.2)</td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;Yes</td>
<td valign="top" align="center">155,452</td>
<td valign="top" align="center">143,992 (92.6)</td>
<td valign="top" align="center">11,460 (7.4)</td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left">Health literacy (media)<sup>b</sup></td>
<td valign="top" align="center">167,953</td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center">0.375</td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;No</td>
<td valign="top" align="center">39,691</td>
<td valign="top" align="center">36,837 (92.8)</td>
<td valign="top" align="center">2,854 (7.2)</td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;Yes</td>
<td valign="top" align="center">128,262</td>
<td valign="top" align="center">118,535 (92.4)</td>
<td valign="top" align="center">9,727 (7.6)</td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left">Depression (PHQ-9)</td>
<td valign="top" align="center">203,094</td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;No</td>
<td valign="top" align="center">196,192</td>
<td valign="top" align="center">181,945 (92.7)</td>
<td valign="top" align="center">14,247 (7.3)</td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;Yes</td>
<td valign="top" align="center">6,902</td>
<td valign="top" align="center">5,825 (84.4)</td>
<td valign="top" align="center">1,077 (15.6)</td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left">Subjective health status</td>
<td valign="top" align="center">203,443</td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;Good</td>
<td valign="top" align="center">166,318</td>
<td valign="top" align="center">155,007 (93.2)</td>
<td valign="top" align="center">11,311 (6.8)</td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;Poor</td>
<td valign="top" align="center">37,125</td>
<td valign="top" align="center">33,055 (89.0)</td>
<td valign="top" align="center">4,070 (11.0)</td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left">Hypertension</td>
<td valign="top" align="center">203,425</td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;No</td>
<td valign="top" align="center">138,981</td>
<td valign="top" align="center">126,960 (91.4)</td>
<td valign="top" align="center">12,021 (8.6)</td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;Yes</td>
<td valign="top" align="center">64,444</td>
<td valign="top" align="center">61,089 (94.8)</td>
<td valign="top" align="center">3,355 (5.2)</td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left">Diabetes</td>
<td valign="top" align="center">203,434</td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;No</td>
<td valign="top" align="center">175,782</td>
<td valign="top" align="center">162,081 (92.2)</td>
<td valign="top" align="center">13,701 (7.8)</td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;Yes</td>
<td valign="top" align="center">27,652</td>
<td valign="top" align="center">25,975 (93.9)</td>
<td valign="top" align="center">1,677 (6.1)</td>
<td valign="top" align="center"></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p>Values are presented as number only or number (%).</p>
<p>PHQ-9, Patient Health Questionnaire-9.</p>
<p><sup>a</sup>Understanding medical explanations from doctors and nurses; <sup>b</sup>Comprehension of information from sources such as newspapers, magazines, and the internet.</p></fn>
</table-wrap-foot>
</table-wrap>

<table-wrap id="t2-kjhp-2024-00136" position="float">
<label>Table 2.</label>
<caption><p>Comparison of COVID-19 vaccination according to depression</p></caption>
<table rules="groups" frame="hsides">
<thead>
<tr>
<th rowspan="2" valign="middle" align="left">Variable</th>
<th rowspan="2" valign="middle" align="center">Total</th>
<th colspan="2" valign="middle" align="center">COVID-19 vaccination<hr/></th>
<th rowspan="2" valign="middle" align="center"><italic>P</italic>-value</th>
</tr>
<tr>
<th valign="middle" align="center">Yes</th>
<th valign="middle" align="center">No</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Depression (PHQ-9, over 5 points)</td>
<td valign="top" align="center">203,094</td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;No</td>
<td valign="top" align="center">171,787</td>
<td valign="top" align="center">160,049 (93.2)</td>
<td valign="top" align="center">11,738 (6.8)</td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;Yes</td>
<td valign="top" align="center">31,307</td>
<td valign="top" align="center">27,721 (88.5)</td>
<td valign="top" align="center">3,584 (11.5)</td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left">Depression (PHQ-9, over 10 points)</td>
<td valign="top" align="center">203,094</td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;No</td>
<td valign="top" align="center">196,192</td>
<td valign="top" align="center">181,945 (92.7)</td>
<td valign="top" align="center">14,247 (7.3)</td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;Yes</td>
<td valign="top" align="center">6,902</td>
<td valign="top" align="center">5,825 (84.4)</td>
<td valign="top" align="center">1,077 (15.6)</td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left">Subjective health status</td>
<td valign="top" align="center">203,443</td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;Good</td>
<td valign="top" align="center">166,318</td>
<td valign="top" align="center">155,007 (93.2)</td>
<td valign="top" align="center">11,311 (6.8)</td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;Poor</td>
<td valign="top" align="center">37,125</td>
<td valign="top" align="center">33,055 (89.0)</td>
<td valign="top" align="center">4,070 (11.0)</td>
<td valign="top" align="center"></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p>Values are presented as number only or number (%).</p><p>PHQ-9, Patient Health Questionnaire-9.</p></fn>
</table-wrap-foot>
</table-wrap>

<table-wrap id="t3-kjhp-2024-00136" position="float">
<label>Table 3.</label>
<caption><p>Logistic regression analysis for COVID-19 unvaccination according to depression and subjective health status</p></caption>
<table rules="groups" frame="hsides">
<thead>
<tr>
<th rowspan="2" valign="middle" align="left">Variable</th>
<th colspan="2" valign="middle" align="center">Age-adjusted<hr/></th>
<th colspan="2" valign="middle" align="center">Multivariable</th>
</tr>
<tr>
<th valign="middle" align="center">OR (95% CI)</th>
<th valign="middle" align="center"><italic>P</italic>-value</th>
<th valign="middle" align="center">OR (95% CI)</th>
<th valign="middle" align="center"><italic>P</italic>-value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Depression (PHQ-9, over 5 points)</td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;No</td>
<td valign="top" align="center">1 (Reference)</td>
<td valign="top" align="center">&lt;0.001</td>
<td valign="top" align="center">1 (Reference)</td>
<td valign="top" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;Yes</td>
<td valign="top" align="center">1.63 (1.56&#x02013;1.71)</td>
<td valign="top" align="center"></td>
<td valign="top" align="center">1.52 (1.45&#x02013;1.59)</td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left">Depression (PHQ-9, over 10 points)</td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;No</td>
<td valign="top" align="center">1 (Reference)</td>
<td valign="top" align="center">&lt;0.001</td>
<td valign="top" align="center">1 (Reference)</td>
<td valign="top" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;Yes</td>
<td valign="top" align="center">2.32 (2.12&#x02013;2.54)</td>
<td valign="top" align="center"></td>
<td valign="top" align="center">2.00 (1.82&#x02013;2.19)</td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left">Subjective health status</td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;Good</td>
<td valign="top" align="center">1 (Reference)</td>
<td valign="top" align="center">&lt;0.001</td>
<td valign="top" align="center">1 (Reference)</td>
<td valign="top" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;Poor</td>
<td valign="top" align="center">2.73 (2.58&#x02013;2.88)</td>
<td valign="top" align="center"></td>
<td valign="top" align="center">2.49 (2.35&#x02013;2.64)</td>
<td valign="top" align="center"></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p>CI, confidence interval; OR, odds ratio; PHQ-9, Patient Health Questionnaire-9.</p></fn>
</table-wrap-foot>
</table-wrap>

<table-wrap id="t4-kjhp-2024-00136" position="float">
<label>Table 4.</label>
<caption><p>Logistic regression &amp; frequency analysis for COVID-19 unvaccination according to subjective health status and presence of chronic disease</p></caption>
<table rules="groups" frame="hsides">
<thead>
<tr>
<th rowspan="2" valign="middle" align="left">Variable</th>
<th colspan="2" valign="middle" align="center">Absence (HTN or DM)<hr/></th>
<th colspan="2" valign="middle" align="center">Presence (HTN or DM)<hr/></th>
</tr>
<tr>
<th valign="middle" align="center">OR (95% CI)</th>
<th valign="middle" align="center"><italic>P</italic>-value</th>
<th valign="middle" align="center">OR (95% CI)</th>
<th valign="middle" align="center"><italic>P</italic>-value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Subjective health status</td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;Good</td>
<td valign="top" align="center">1 (Reference)</td>
<td valign="top" align="center"></td>
<td valign="top" align="center">0.42 (0.39&#x02013;0.45)</td>
<td valign="top" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;Poor</td>
<td valign="top" align="center">1.89 (1.76&#x02013;2.02)</td>
<td valign="top" align="center">&lt;0.001</td>
<td valign="top" align="center">1.13 (1.06&#x02013;1.21)</td>
<td valign="top" align="center">&lt;0.001</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p>CI, confidence interval; DM, diabetes mellitus; HTN, hypertension; OR, odds ratio.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
</back></article>