Journal List > J Korean Med Sci > v.38(30) > 1516083450

Ryu, Kim, Lee, Kang, Shin, Jung, Kim, and Kim: Psychological and Personality Characteristics Associated With COVID-19 Vaccination Behavior in Korean General Population

Abstract

Background

This study characterized coronavirus disease 2019 (COVID-19) vaccination behavior in the Korean general population using cluster analysis and explored related psychological factors.

Methods

We categorized 1,500 individuals based on their attitudes toward COVID-19 vaccination using hierarchical clustering and identified their level of vaccine acceptance. We examined the associations between vaccine acceptance and behavioral and psychological characteristics.

Results

Clustering revealed three groups according to vaccine acceptance: ‘totally accepting’ (n = 354, 23.6%), ‘somewhat accepting’ (n = 523, 34.9%), and ‘reluctant’ (n = 623, 41.5%). Approximately 60% of all participants who belonged to the ‘totally accepting’ and ‘somewhat accepting’ groups were willing to receive a COVID-19 vaccine despite concerns about its side effects. High vaccine acceptance was associated with older age, regular influenza vaccination, and trust in formal sources of information. Participants with high vaccine acceptance had higher levels of gratitude, extraversion, agreeableness, and conscientiousness, and lower levels of depression, anxiety, and neuroticism.

Conclusions

People weighed the benefits of COVID-19 vaccination against the risk of side effects when deciding to receive the COVID-19 vaccine. Our findings also indicate that this vaccination behavior may be affected by coping mechanisms and psychological factors.

Graphical Abstract

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INTRODUCTION

Since coronavirus disease 2019 (COVID-19) emerged as a global health crisis in early 2020, the COVID-19 pandemic has posed a devastating threat to the health and lives of vulnerable individuals. Stringent measures, including mandatory face mask-wearing and social distancing were implemented to prevent the spread of COVID-19.1 In addition, after new COVID-19 vaccines were approved for use, public health authorities strongly encouraged vaccination, emphasizing the preventive effect of the COVID-19 vaccine.2 However, some individuals felt that these measures violated their freedom, and even raised concerns about the efficacy and safety of the vaccines.3
COVID-19 vaccination has been controversial. The new COVID-19 vaccines were developed and authorized in an unprecedentedly short time because of the serious and urgent nature of the pandemic.4 Early evidence showed that the COVID-19 vaccines were effective at preventing COVID-19 infection and were relatively safe in terms of side effects.5 However, many individuals were still concerned about rare but serious side effects, such as blood clotting and myocarditis.6 Some even distrusted the new mRNA vaccine technology, pharmaceutical companies, and public health authorities.7 These negative attitudes toward COVID-19 vaccines may contribute to vaccine hesitancy, which has been a major obstacle to public health policies aimed at curbing the spread of COVID-19.8
Vaccine acceptance refers to the degree to which an individual accepts, hesitates to accept, or refuses vaccination.9 This may be influenced by an individual’s experience, personal values, and psychological characteristics as well as environmental factors.10 Therefore, individual behavioral and psychological characteristics influencing the decision to get vaccinated must be explored. Recent studies have found a variety of factors associated with COVID-19 vaccine acceptance or hesitancy, including demographic characteristics, economic status, vaccine information, personal values, and personality.11121314 However, most studies have evaluated COVID-19 vaccine acceptance and hesitancy based on only a few simple questions about vaccination intent.1516 No validated survey tool is available to assess vaccination behavior. Considering that vaccine acceptance is an outcome resulting from a complex decision-making process, we needed to find a new way to investigate the various attitudes and behaviors toward COVID-19 vaccination more comprehensively.
Since the COVID-19 pandemic began, we have been studying the impact of the pandemic on the daily life, behavior, and mental health of the general population and patients with mental illness in Korea. As part of this series, the present study aimed to characterize COVID-19 vaccination behavior in the Korean general population and to explore the psychological factors involved in individual decision-making on vaccination. Thus, we investigated attitudes toward COVID-19 vaccination in the Korean general population and performed clustering analysis to identify individuals’ vaccine acceptance based on various aspects of willingness and reluctance to be vaccinated for COVID-19. Then, we examined the behavioral and psychological characteristics associated with vaccine acceptance.

METHODS

Participants

The present study was a part of several mental health surveys on the psychosocial effects of COVID-19 in the general population and patients with a mental disorder.1718192021222324 We conducted an online survey of the general population with participants ranging in age from 19 to 69 years in South Korea on September 14–24, 2021, when 67–73% of the entire population had received at least the first dose of a COVID-19 vaccine since the start of COVID-19 vaccination at the end of February 2021.25 Participants were selected from a panel of an online survey service provider (Macromill Embrain). Three geographic areas were surveyed: the Seoul metropolitan area (Seoul and Gyeonggi Province [around Seoul], n = 500), Daegu City and the surrounding area (n = 500), and Gwangju City and the surrounding area (n = 500). A total of 1,500 participants were recruited using a quota sampling method with identical distributions of age and sex among these regions. Only participants who provided consent for the use of personal information were included.

Measures

The participants indicated their acceptance and hesitancy toward COVID-19 vaccination via seven items on the COVID-19 vaccination attitude questionnaire, which we developed based on the existing literature and our experience (Table 1). The responses were rated using a 5-point Likert scale ranging from 1 (strongly disagree) to 5 (strongly agree). These seven items were classified into two factors in an exploratory factor analysis: ‘necessity of vaccination’ (questions 3–7) and ‘concern about vaccination’ (questions 1–2) (Supplementary Table 1). The internal consistency of this questionnaire was acceptable (Cronbach’s α = 0.81, when questions 1–3 were reverse-scored). Additionally, the participants were asked about their vaccination status for COVID-19 and influenza. The participants also responded to yes/no questions about reasons for receiving the vaccine and trustworthy sources of information regarding COVID-19 vaccination.
Table 1

COVID-19 vaccination attitude questionnaire

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No Item contents
1 I am worried that the COVID-19 vaccination will cause side effects.
2 I am afraid of getting an injection.
3 I don’t need COVID-19 vaccination.
4 I am willing to receive COVID-19 vaccination annually, if necessary.
5 I think that the benefit of COVID-19 vaccination outweighs the risks of side effects.
6 I am willing to recommend COVID-19 vaccination to individuals around me.
7 I think COVID-19 vaccines effectively prevent COVID-19.
All items on the questionnaires were rated using a 5-point Likert scale (1, strongly disagree; 2, disagree; 3, neutral; 4, agree; 5, strongly agree).
COVID-19 = coronavirus disease 2019.
Depression and anxiety were measured using the Korean version of the Patient Health Questionnaire (PHQ)-9 and the Generalized Anxiety Disorder (GAD)-7 tool, respectively, which are reliable and valid tools for screening depressive and anxiety symptoms in Korean populations.2627 Gratitude was assessed using the Gratitude Questionnaire (GQ)-6, which evaluates the experience and expression of gratitude in daily life.28 We used the Korean version of GQ-6, which was validated by Kwon et al.29 Personality traits were assessed using the Big Five Inventory (BFI)-10, which is a short-form version of the BFI that measures five dimensions of personality, including extraversion, agreeableness, conscientiousness, neuroticism, and openness to experience.30 We used the Korean version of BFI-10, which was adapted by Kim et al.31 with good reliability and validity.

Statistical analysis

We performed a cluster analysis of the responses to the seven questions comprising the COVID-19 vaccination attitude questionnaire to identify a set of individuals with similar levels of vaccine acceptance. The 5-point Likert scale scores were subjected to hierarchical clustering using Ward’s minimum variance method and Gower’s distance as a dissimilarity matrix. The optimal number of clusters was determined using the elbow method. We visualized individuals’ response patterns to determine the properties of the clusters. This process was performed using the R packages ‘cluster’ and ‘factoextra’ (The R Foundation for Statistical Computing, Vienna, Austria). Then, we compared vaccination behaviors and psychological characteristics among the clusters using the χ2 test for categorical variables and the Quade non-parametric covariance analysis for covariate-adjusted continuous variables. All statistical tests were two-tailed, and a P < 0.05 was considered significant. Statistical analyses were performed using R (version 4.0.3; The R Foundation for Statistical Computing) and SPSS software (version 27.0; IBM Corp., Armonk, NY, USA).

Ethics statement

The informed consent form was accessed by clicking on a link on the survey page. This study was approved by the Chonnam National University Hospital Institutional Review Board (CNUH-2021-297).

RESULTS

Identification of clusters

Hierarchical clustering revealed that the study population could be grouped into clusters 1–3 (Fig. 1). In cluster 1 (n = 354, 23.6%), most respondents strongly agreed with the items related to a positive attitude toward COVID-19 vaccination (questions 4–7) and strongly disagreed with question 3 (i.e., “I don’t need the COVID-19 vaccination”). More than half of the respondents in cluster 1 strongly agreed or agreed that they were concerned about the potential side effects of the COVID-19 vaccines described in question 1. Similarly, in cluster 2 (n = 523, 34.9%), most participants agreed with questions 4–7 and disagreed or strongly disagreed with question 3. In contrast, most participants in cluster 3 (n = 623, 41.5%) were neutral toward or disagreed, or strongly disagreed, with questions 4–7, and many of them strongly agreed or agreed with question 3. In addition, about 90% of the respondents in cluster 3 expressed concerns about the side effects mentioned in question 1. Based on these patterns of responses, clusters 1–3 were labeled ‘totally accepting,’ ‘somewhat accepting,’ and ‘reluctant,’ respectively.
Fig. 1

Heatmap and dendrogram of the hierarchical clustering analysis results; clusters 1–3 were distinguished based on the responses to seven questions about attitudes toward COVID-19 vaccination.

COVID-19 = coronavirus disease 2019.
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Demographic characteristics

Of the 1,500 participants, 50% were men, with an average age of 38.73 ± 11.95 years. In addition, 45.6% were married, 81.1% had a high school diploma or higher, 70.1% had a job, and 95.1% had health insurance.
Table 2 summarizes the demographic characteristics of the three groups according to vaccine acceptance. The participants in the ‘totally accepting’ group were the oldest, followed by those in the ‘somewhat accepting’ group and the ‘reluctant’ group (F = 24.66, P < 0.001). No differences in sex, education level, occupation, or medical insurance status were observed among the three groups, except the ‘totally accepting’ group had the highest proportion of married participants (χ2 = 14.52, P = 0.001). We controlled for age as a covariate when comparing other continuous variables among the three groups.
Table 2

Demographic characteristics

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Characteristics Totally accepting Somewhat accepting Reluctant Statisticsa
Sex χ2 = 4.30, P = 0.117
Male 194 (54.8) 255 (48.8) 301 (48.3)
Female 160 (45.2) 268 (51.2) 322 (51.7)
Age, yr F = 24.66, P < 0.001
Mean ± standard deviation 41.40 ± 12.62 39.81 ± 12.39 36.30 ± 10.66
Range 19–69 19–69 19–69
Marital status χ2 = 14.52, P = 0.001
Single 168 (47.5) 276 (52.8) 372 (59.7)
Married 186 (52.5) 247 (47.2) 251 (40.3)
Education χ2 = 5.20, P = 0.074
≤ 12 years 78 (22.0) 84 (16.1) 122 (19.6)
> 12 years 276 (78.0) 439 (83.9) 501 (80.4)
Occupation χ2 = 0.47, P = 0.792
Employed 252 (71.2) 368 (70.4) 431 (69.2)
Unemployed 102 (28.8) 155 (29.6) 192 (30.8)
Medical insurance χ2 = 0.02, P = 0.991
Health insurance 337 (95.2) 497 (95.0) 593 (95.2)
Medicare 17 (4.8) 26 (5.0) 30 (4.8)
Data are presented as numbers (%) not otherwise specified.
aχ2 testing or analysis of variance of the three groups.

Vaccination behavior

About 90% of the participants in the ‘totally accepting’ and ‘somewhat accepting’ groups had already received the first dose of the COVID-19 vaccine (Table 3). However, less than 60% of the participants in the ‘reluctant’ group had been vaccinated. The proportion of participants who seldom received the influenza vaccine was significantly higher in the ‘reluctant’ group (44.8%) than in the other two groups (34.2–35.0%).
Table 3

Behavioral characteristics associated with vaccine acceptance

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Characteristics Totally accepting Somewhat accepting Reluctant Statisticsa
A. Vaccination status
COVID-19 vaccination χ2 = 213.20, P = 0.001
Already vaccinated (more than the first dose) 322 (91.0) 456 (87.2) 369 (59.2)
Soon to be vaccinated 30 (8.5) 55 (10.5) 121 (19.4)
Not yet vaccinated 2 (0.6) 12 (2.3) 133 (21.3)
Influenza vaccination χ2 = 24.85, P < 0.001
Vaccinated every year 117 (33.1) 171 (32.7) 137 (22.0)
Vaccinated every few years 116 (32.8) 169 (32.3) 207 (33.2)
Seldom vaccinated 121 (34.2) 183 (35.0) 279 (44.8)
B. Reasons for receiving COVID-19 vaccination
To prevent COVID-19 infection χ2 = 179.78, P < 0.001
Yes 278 (78.5) 367 (70.2) 247 (39.6)
No 78 (21.5) 156 (29.8) 376 (60.4)
To prevent people around me from getting infected χ2 = 24.14, P < 0.001
Yes 196 (55.4) 266 (50.9) 251 (40.3)
No 158 (44.6) 257 (49.1) 372 (59.7)
To avoid quarantine χ2 = 7.89, P = 0.019
Yes 29 (8.2) 35 (6.7) 25 (4.0)
No 325 (91.8) 488 (93.3) 598 (96.0)
To enjoy unrestricted activities of daily living χ2 = 41.32, P < 0.001
Yes 147 (41.5) 176 (33.7) 140 (22.5)
No 207 (58.5) 347 (66.3) 483 (77.5)
Recommended by those around me χ2 = 28.76, P < 0.001
Yes 21 (5.9) 55 (10.5) 107 (17.2)
No 333 (94.1) 468 (89.5) 516 (82.8)
Following those around me who got vaccinated χ2 = 19.35, P < 0.001
Yes 32 (9.0) 61 (11.7) 114 (18.3)
No 322 (91.0) 462 (88.3) 509 (81.7)
C. Trust in information sources regarding COVID-19 vaccination
Internet news χ2 = 0.69, P = 0.707
Yes 73 (20.6) 112 (21.4) 142 (22.8)
No 281 (79.4) 411 (78.6) 481 (77.2)
Internet videos (e.g., YouTube) χ2 = 9.78, P = 0.008
Yes 45 (12.7) 75 (14.3) 122 (19.6)
No 309 (87.3) 448 (85.7) 501 (80.4)
TV and radio news χ2 = 42.20, P < 0.001
Yes 229 (64.7) 311 (59.5) 281 (45.1)
No 125 (35.3) 212 (40.5) 342 (54.9)
Social network services χ2 = 3.22, P = 0.200
Yes 32 (9.0) 46 (8.8) 73 (11.7)
No 322 (91.0) 477 (91.2) 550 (88.3)
Acquaintances (e.g., family or friends) χ2 = 22.85, P < 0.001
Yes 73 (20.6) 130 (24.9) 211 (33.9)
No 281 (79.4) 393 (75.1) 421 (66.1)
Medical professionals χ2 = 20.71, P < 0.001
Yes 261 (73.7) 392 (75.0) 396 (63.6)
No 93 (26.3) 131 (25.0) 227 (36.4)
COVID-19 = coronavirus disease 2019.
aχ2 test.
The participants in the ‘totally accepting’ and ‘somewhat accepting’ groups were more likely to state that preventing infection and unrestricted activities of daily living were the major reasons for receiving a COVID-19 vaccine compared to those in the ‘reluctant’ group (Table 3). However, the proportion of those participants who had been vaccinated against their will was significantly higher in the ‘reluctant’ compared to the ‘totally accepting’ group.
About 60–70% of the participants in the ‘totally accepting’ and ‘somewhat accepting’ groups stated that they trusted the information related to COVID-19 vaccination presented on TV and radio news, as well as by medical professionals (Table 3). However, in the ‘reluctant’ group, the proportion of participants who trusted these sources of information was significantly lower than in the other two groups, whereas the proportion of those who had more trust in information obtained from internet videos or acquaintances was significantly higher.

Psychological characteristics associated with COVID-19 vaccine acceptance

The total PHQ-9 and GAD-7 scores were significantly different among the three groups (PHQ-9: F = 13.23, P < 0.001; GAD-7: F = 13.63, P < 0.001). The participants in the ‘reluctant’ group experienced higher levels of depression and anxiety compared to the ‘totally accepting’ and ‘somewhat accepting’ groups (Table 4).
Table 4

Psychological characteristics associated with vaccine acceptance

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Characteristics Totally accepting Somewhat accepting Reluctant Statisticsa
A. Depression (Patient Health Questionnaire-9)
Total score 4.13 ± 4.93 4.44 ± 4.66 5.87 ± 5.68 F = 13.23, P < 0.001b
B. Anxiety (Generalized Anxiety Disorder-7)
Total score 2.75 ± 4.02 3.10 ± 4.09 4.23 ± 4.77 F = 13.63, P < 0.001b
C. Gratitude (Gratitude Questionnaire-6)
Total score 31.75 ± 6.65 29.93 ± 6.17 28.56 ± 6.73 F = 26.14, P < 0.001c
D. Personality traits (Big Five Inventory-10)
Extraversion 6.27 ± 1.63 5.97 ± 1.31 5.97 ± 1.34 F = 4.18, P = 0.016d
Agreeableness 7.15 ± 1.34 6.95 ± 1.18 6.74 ± 1.25 F = 9.51, P < 0.001e
Conscientiousness 7.14 ± 1.50 6.82 ± 1.41 6.68 ± 1.43 F = 6.60, P = 0.001d
Neuroticism 5.51 ± 1.77 5.69 ± 1.55 6.07 ± 1.64 F = 12.41, P < 0.001b
Openness to experience 6.85 ± 1.58 6.77 ± 1.46 6.69 ± 1.55 F = 2.07, P = 0.127
Data are presented as the mean ± standard deviation or numbers (%).
aQuade’s nonparametric analysis of covariance (included age as a covariate).
bTotally accepting, Somewhat accepting < Reluctant.
cTotally accepting > Somewhat accepting, Somewhat accepting > Reluctant, Totally accepting > Reluctant.
dTotally accepting > Somewhat accepting, Reluctant.
eTotally accepting, Somewhat accepting > Reluctant.
The total GQ-6 score was significantly different among the three groups (F = 26.14, P < 0.001; Table 4). Post hoc tests showed that the ‘totally accepting’ group had the highest level of gratitude, followed by the ‘somewhat accepting’ group and the ‘reluctant’ group.
For the BFI-10 scores, significant differences in extraversion (F = 4.18, P = 0.016), agreeableness (F = 9.51, P < 0.011), conscientiousness (F = 6.60, P = 0.001), and neuroticism (F = 12.41, P < 0.001) were observed among the three groups (Table 4). Post hoc tests showed that the levels of extraversion and conscientiousness were higher in the ‘totally accepting’ than in the ‘somewhat accepting’ and ‘reluctant’ groups, and the level of agreeableness was higher in the ‘totally accepting’ and ‘somewhat accepting’ groups than in the ‘reluctant’ group. The level of neuroticism was higher in the ‘reluctant’ group than in the ‘totally accepting’ and ‘somewhat accepting’ groups.

DISCUSSION

In this study, we investigated the attitudes toward COVID-19 vaccination in the Korean general population, and categorized individuals according to the degree of vaccine acceptance using clustering analysis. This study shows that more than half of the participants were willing to receive a COVID-19 vaccine and perceived it as efficacious and necessary. We also identified several behavioral and psychological characteristics associated with COVID-19 vaccine acceptance and hesitancy.
Clustering is an exploratory analytical technique used to identify subgroups of individuals within a larger population who share similar characteristics.32 Hierarchical clustering constructs a dendrogram of nested clusters by repeatedly merging or splitting clusters.33 In the absence of a validated tool for assessing vaccination behavior, we expected that clustering analysis would be a useful method to classify individuals according to COVID-19 vaccine acceptance. Felten et al.34 categorized patients with autoimmune and inflammatory diseases into three main patterns according to beliefs and intentions related to COVID-19 vaccination using cluster analysis. That study also showed that COVID-19 vaccine hesitancy among immunocompromised patients was related to specific concerns about the use of new vaccine technology, lack of long-term data, and potential financial links between governments and pharmaceutical companies, but not the fear of contracting COVID-19.34
In the present study, hierarchical clustering identified three main attitudes toward COVID-19 vaccination in the Korean general population: ‘totally accepting,’ ‘somewhat accepting,’ and ‘reluctant.’ Most participants in the ‘totally accepting’ group strongly agreed that COVID-19 vaccines are efficacious and necessary, and expressed a high willingness to be vaccinated. Additionally, many participants in the ‘somewhat accepting’ group were somewhat willing to be vaccinated and agreed with the necessity of vaccination. However, a considerable proportion of participants in the ‘totally accepting’ and ‘somewhat accepting’ groups were also concerned about the potential side effects of the COVID-19 vaccines. The ‘totally accepting’ and ‘somewhat accepting’ groups included approximately 60% of all participants, which is similar to or slightly lower than the vaccine acceptance rates in other studies conducted in Western countries.353637 In contrast, most participants in the ‘reluctant’ group were lukewarm, hesitant, or resistant to receive the COVID-19 vaccine, and were also highly concerned about side effects. Hwang et al.12 conducted a study in late 2020 showing that about 40% of the population hesitated or refused to receive the COVID-19 vaccine in Korea, which is largely in agreement with our findings. These data suggest that COVID-19 vaccine acceptance may be categorized according to beliefs regarding its efficacy and necessity, as well as concerns about side effects.
The participants in the ‘totally accepting’ group were the oldest and those in the ‘reluctant’ group were the youngest among the three groups. This finding is largely consistent with those of recent studies showing that older people were more willing to get vaccinated.38 The higher vaccine acceptance seen in older patients may be explained by their awareness of worse COVID-19 outcomes in the unvaccinated.39 However, we found no significant difference in sex among the three groups. Results regarding sex differences in vaccine acceptance have been inconsistent, but some studies have reported higher vaccine hesitancy in women, which was likely due to some reports of fatal vaccine side effects in women.40 In addition, we found no difference in occupational status or education level among the three groups.
The COVID-19 vaccination rate reached about 90% in the ‘totally accepting’ and ‘somewhat accepting’ groups, but was less than 60% in the ‘reluctant’ group. At the time of this survey (mid-September 2021), about 70% of the entire Korean population had received more than the first dose of a COVID-19 vaccine.25 The high vaccination rate in those who were accepting of vaccination indicates that an accepting attitude toward COVID-19 vaccines could eventually lead to vaccination. In addition, we considered that there might be a considerable number of individuals who remained lukewarm or reluctant about vaccination even though they had been vaccinated. Coercive measures, such as a vaccine pass, only forced individuals to get vaccinated but might not essentially change the negative attitude toward vaccination.41 The fact that many individuals today are unwilling to receive omicron-containing booster vaccines supports this assumption.
The ‘reluctant’ group had the lowest rate of previous influenza vaccination as well as current COVID-19 vaccination, suggesting that existing perceptions and attitudes toward vaccination might play important roles in the decision to receive a COVID-19 vaccine. We assumed that an individual’s predisposition may underlie vaccine hesitancy for COVID-19 and influenza vaccines in common. Recent studies have reported a correlation between COVID-19 vaccine acceptance and influenza vaccine uptake.4243 A systematic review also pointed out concerns over safety, lack of trust, lack of need for vaccination, and cultural reasons as common causes of vaccine hesitancy for COVID-19 and influenza vaccines.44
Among participants who were accepting of COVID-19 vaccination, preventing COVID-19 infection and exemption from restrictions on daily life were important factors in the decision to be vaccinated. This shows that in addition to preventing infection and reducing mortality, the benefits of vaccination for daily life may be important in the decision to be vaccinated.45 However, participants who were reluctant to get vaccinated more often responded that they would get the COVID-19 vaccine because of recommendations or trends of their acquaintances, not because of their will. Hwang et al.12 indicated that the most common reason for vaccine hesitancy in Koreans was a lack of confidence in the COVID-19 vaccines.
Participants who exhibited high vaccine acceptance considered traditional mass media and medical professionals as reliable information sources. However, participants who were reluctant to receive the COVID-19 vaccine had less trust in these information sources, but they were more likely to trust information obtained from internet videos or acquaintances than those who were accepting of vaccination. Tan et al.46 reported that trust in formal rather than informal sources of information was associated with complete vaccination among middle-aged and older individuals. In contrast, some studies have shown that social media use could increase vaccine hesitancy.47 Providing appropriate professional medical information through formal mass media and informal internet media (e.g., YouTube) is required to promote public health.48
Taken together, our findings suggest that encouraging positive perceptions and attitudes toward COVID-19 vaccines can increase the likelihood of COVID-19 vaccination. The provision of appropriate information on COVID-19 vaccination by medical professionals and mass media is important to enhance vaccine acceptance. It is necessary to establish public health strategies that can effectively communicate the necessities and benefits of COVID-19 vaccines to improve individuals’ awareness of vaccination.
Participants who were reluctant to receive the COVID-19 vaccine were more likely to be depressed and anxious than those who were accepting of vaccination. This is largely consistent with the findings of Sekizawa et al.49 who showed that depression and generalized anxiety were associated with unwillingness and indecisiveness to get vaccinated against COVID-19. Depressed or anxious individuals are likely to become ambivalent, have reduced adaptive coping resources, and are reluctant to take preventive actions against COVID-19.24 Conversely, vaccination may reduce the perceived risk of COVID-19 and associated psychological distress.50
The more accepting the participants were of COVID-19 vaccination, the higher the level of gratitude. Gratitude is a general state of thankfulness and appreciation in response to the receipt of something valuable and meaningful.51 Gratitude improves adaptive coping in the face of adversity.52 In particular, it was associated with better mental health during the COVID-19 pandemic, including less depression and anxiety, as well as a higher level of subjective well-being.5354 The role of gratitude in reducing anxiety and depression, which are associated with reluctance to receive the vaccine, may positively affect vaccination behavior. Although little is known regarding the effects of gratitude on vaccination behavior during the pandemic, we assume that grateful individuals would cope better with concerns about the new COVID-19 vaccines. In addition, gratitude may be associated with an altruistic attitude, which is a potential reason for getting vaccinated.55
Participants who exhibited high vaccine acceptance had higher levels of extraversion, agreeableness, and conscientiousness as well as less neuroticism compared to those who were reluctant to be vaccinated. Extraversion is a personality trait characterized by sociability, assertiveness, and high emotional expressiveness; individuals high in extraversion are outgoing and enthusiastic.56 Agreeableness refers to an individual’s level of cooperativeness and compassion; individuals with a high level of agreeableness are more likely to be warm, caring, and supportive toward others.57 Conscientiousness is a personality trait that reflects the tendency to be responsible, hard-working, goal-directed, and to adhere to rules; high conscientiousness means an individual is responsible and reliable.58 In contrast, neurotic individuals are characterized by anxiety, sadness, and emotional instability; individuals with a high level of neuroticism feel more depressed, impulsive, and insecure.59 A national survey conducted before the COVID-19 pandemic in the US found that individuals high in agreeableness and conscientiousness were more likely to regard vaccination as beneficial, highlighting the importance of personality in shaping individual vaccination behavior.60 Recent studies since the COVID-19 outbreak have also shown that personality traits, such as agreeableness, conscientiousness, and neuroticism, are associated with COVID-19 vaccine acceptance and hesitancy.116162
Taken together, our findings suggest that the psychological state and traits of individuals play an important role in the willingness or reluctance to receive the COVID-19 vaccine. In this regard, we must consider individual psychological factors to understand and resolve anti-vaccination behavior, including vaccine hesitancy or refusal.
This study had some limitations. First, because the study population was grouped using clustering analysis rather than based on cutoff scores or criteria, the differences in vaccine acceptance among the ‘totally accepting,’ ‘somewhat accepting,’ and ‘reluctant’ groups were not definite or conclusive. In particular, the ‘reluctant’ group may be a heterogeneous population, such as individuals who were lukewarm, hesitant, or resistant to vaccination. The socio-demographic characteristics of the study population may also influence clustering. As a result, different classifications of vaccine acceptance may be feasible when using a data-driven approach, depending on the study population or the investigator’s judgement. Second, this study did not address various factors that may be associated with vaccination behavior, including economic status, political ideology, and religious affiliation. Third, this study was conducted during the COVID-19 vaccination program; the phased nature of the program should be considered when generalizing the results.
In conclusion, more than half of individuals were willing to receive the COVID-19 vaccine, while a considerable number remained lukewarm or reluctant about vaccination. In particular, many individuals were concerned about side effects regardless of whether they were accepting of COVID-19 vaccination or not. Individuals may differ in their perceptions of the efficacy and necessity of COVID-19 vaccines, and weigh the benefits and risks of vaccination in different ways; these factors may influence vaccine acceptance and hesitancy. Psychological states and traits, such as depression, gratitude, and personality, also play important roles in attitudes and decisions about COVID-19 vaccination. Understanding the role of coping mechanisms and psychological characteristics in vaccination behavior could aid in establishing effective public communication strategies to encourage COVID-19 booster vaccinations.

Notes

Funding: This research was supported by grants of Patient-Centered Clinical Research Coordinating Center (PACEN) funded by the Ministry of Health & Welfare, Republic of Korea (grants number: HI19C0481, HC19C0316).

Disclosure: The authors have no potential conflicts of interest to disclose.

Author Contributions:

  • Conceptualization: Ryu S, Shin HY, Kim SW.

  • Data curation: Kim JW.

  • Funding acquisition: Kim SW.

  • Methodology: Ryu S, Kim SW.

  • Writing - original draft: Ryu S, Kang YS, Kim SW.

  • Writing - review & editing: Lee JY, Jung SI, Kim JM.

References

1. Yoo JH, Hong ST. The outbreak cases with the novel coronavirus suggest upgraded quarantine and isolation in Korea. J Korean Med Sci. 2020; 35(5):e62. PMID: 32030926.
2. Nham E, Song JY, Noh JY, Cheong HJ, Kim WJ. COVID-19 vaccination in Korea: past, present, and the way forward. J Korean Med Sci. 2022; 37(47):e351. PMID: 36472087.
3. Landler M. Vaccine mandates rekindle fierce debate over civil liberties. The New York Times. 2021. 12. 10.
4. Jiang S. Don’t rush to deploy COVID-19 vaccines and drugs without sufficient safety guarantees. Nature. 2020; 579(7799):321. PMID: 32179860.
5. Baden LR, El Sahly HM, Essink B, Kotloff K, Frey S, Novak R, et al. Efficacy and safety of the mRNA-1273 SARS-CoV-2 vaccine. N Engl J Med. 2021; 384(5):403–416. PMID: 33378609.
6. Karlsson LC, Soveri A, Lewandowsky S, Karlsson L, Karlsson H, Nolvi S, et al. Fearing the disease or the vaccine: the case of COVID-19. Pers Individ Dif. 2021; 172:110590. PMID: 33518869.
7. Pertwee E, Simas C, Larson HJ. An epidemic of uncertainty: rumors, conspiracy theories and vaccine hesitancy. Nat Med. 2022; 28(3):456–459. PMID: 35273403.
8. Romer D, Jamieson KH. Conspiracy theories as barriers to controlling the spread of COVID-19 in the U.S. Soc Sci Med. 2020; 263:113356. PMID: 32967786.
9. MacDonald NE. SAGE Working Group on Vaccine Hesitancy. Vaccine hesitancy: definition, scope and determinants. Vaccine. 2015; 33(34):4161–4164. PMID: 25896383.
10. Dubé È, Ward JK, Verger P, MacDonald NE. Vaccine hesitancy, acceptance, and anti-vaccination: trends and future prospects for public health. Annu Rev Public Health. 2021; 42(1):175–191. PMID: 33798403.
11. Murphy J, Vallières F, Bentall RP, Shevlin M, McBride O, Hartman TK, et al. Psychological characteristics associated with COVID-19 vaccine hesitancy and resistance in Ireland and the United Kingdom. Nat Commun. 2021; 12(1):29. PMID: 33397962.
12. Hwang SE, Kim WH, Heo J. Socio-demographic, psychological, and experiential predictors of COVID-19 vaccine hesitancy in South Korea, October-December 2020. Hum Vaccin Immunother. 2022; 18(1):1–8.
13. Kreps S, Dasgupta N, Brownstein JS, Hswen Y, Kriner DL. Public attitudes toward COVID-19 vaccination: the role of vaccine attributes, incentives, and misinformation. NPJ Vaccines. 2021; 6(1):73. PMID: 33990614.
14. Park HK, Ham JH, Jang DH, Lee JY, Jang WM. Political ideologies, government trust, and COVID-19 vaccine hesitancy in South Korea: a cross-sectional survey. Int J Environ Res Public Health. 2021; 18(20):10655. PMID: 34682401.
15. Lazarus JV, Ratzan SC, Palayew A, Gostin LO, Larson HJ, Rabin K, et al. A global survey of potential acceptance of a COVID-19 vaccine. Nat Med. 2021; 27(2):225–228. PMID: 33082575.
16. Shakeel CS, Mujeeb AA, Mirza MS, Chaudhry B, Khan SJ. Global COVID-19 vaccine acceptance: a systematic review of associated social and behavioral factors. Vaccines (Basel). 2022; 10(1):110. PMID: 35062771.
17. Kim M, Park IH, Kang YS, Kim H, Jhon M, Kim JW, et al. Comparison of psychosocial distress in areas with different COVID-19 prevalence in Korea. Front Psychiatry. 2020; 11:593105. PMID: 33329143.
18. Lee YR, Lee JY, Park IH, Kim M, Jhon M, Kim JW, et al. The relationships among media usage regarding COVID-19, knowledge about infection, and anxiety: structural model analysis. J Korean Med Sci. 2020; 35(48):e426. PMID: 33316862.
19. Jung HR, Park C, Kim M, Jhon M, Kim JW, Ryu S, et al. Factors associated with mask wearing among psychiatric inpatients during the COVID-19 pandemic. Schizophr Res. 2021; 228:235–236. PMID: 33476952.
20. Kim SW, Park IH, Kim M, Park AL, Jhon M, Kim JW, et al. Risk and protective factors of depression in the general population during the COVID-19 epidemic in Korea. BMC Psychiatry. 2021; 21(1):445. PMID: 34496823.
21. Lee JY, Kim M, Jhon M, Kim JW, Ryu S, Kim JM, et al. Factors associated with a negative emotional response to news media and nationwide emergency text alerts during the COVID-19 outbreak in Korea. Psychiatry Investig. 2021; 18(9):825–830.
22. Ryu S, Park IH, Kim M, Lee YR, Lee J, Kim H, et al. Network study of responses to unusualness and psychological stress during the COVID-19 outbreak in Korea. PLoS One. 2021; 16(2):e0246894. PMID: 33635935.
23. Jang H, Park AL, Lee YR, Ryu S, Lee JY, Kim JM, et al. Relationship between economic loss and anxiety during the coronavirus disease 2019 pandemic: moderating effects of knowledge, gratitude, and perceived stress. Front Psychiatry. 2022; 13:904449. PMID: 35770062.
24. Lee YR, Chung YC, Kim JJ, Kang SH, Lee BJ, Lee SH, et al. Effects of COVID-19-related stress and fear on depression in schizophrenia patients and the general population. Schizophrenia (Heidelb). 2022; 8(1):15. PMID: 35249110.
25. Korea Disease Control and Prevention Agency. COVID-19 vaccination. Accessed December 20, 2022. https://ncv.kdca.go.kr/eng/ .
26. Park SJ, Choi HR, Choi JH, Kim KW, Hong JP. Reliability and validity of the Korean version of the Patient Health Questionnaire-9 (PHQ-9). Anxiety Mood. 2010; 6(2):119–124.
27. Lee SH, Shin C, Kim H, Jeon SW, Yoon HK, Ko YH, et al. Validation of the Korean version of the Generalized Anxiety Disorder 7 self-rating scale. Asia-Pac Psychiatry. 2022; 14(1):e12421. PMID: 32893471.
28. Mccullough ME, Emmons RA, Tsang JA. The grateful disposition: a conceptual and empirical topography. J Pers Soc Psychol. 2002; 82(1):112–127. PMID: 11811629.
29. Kwon SJ, Kim KH, Lee HS. Validation of the Korean version of gratitude questionnaire. Korean J Health Psychol. 2006; 11(1):177–190.
30. Rammstedt B, John OP. Measuring personality in one minute or less: a 10-item short version of the Big Five Inventory in English and German. J Res Pers. 2007; 41(1):203–212.
31. Kim SY, Kim JM, Yoo JA, Bae KY, Kim SW, Yang SJ, et al. Standardization and validation of big five inventory-Korean version (BFI-K) in elders. Korean J Biol Psychiatry. 2010; 17(1):15–25.
32. Bolin JH, Edwards JM, Finch WH, Cassady JC. Applications of cluster analysis to the creation of perfectionism profiles: a comparison of two clustering approaches. Front Psychol. 2014; 5:343. PMID: 24795683.
33. Murtagh F, Contreras P. Algorithms for hierarchical clustering: an overview. Wiley Interdiscip Rev Data Min Knowl Discov. 2012; 2(1):86–97.
34. Felten R, Dubois M, Ugarte-Gil MF, Chaudier A, Kawka L, Bergier H, et al. Cluster analysis reveals three main patterns of beliefs and intention with respect to SARS-CoV-2 vaccination in patients with autoimmune and inflammatory diseases. Rheumatology (Oxford). 2021; 60(SI):SI68–SI76. PMID: 33983432.
35. Sallam M, Al-Sanafi M, Sallam M. A global map of COVID-19 vaccine acceptance rates per country: an updated concise narrative review. J Multidiscip Healthc. 2022; 15:21–45. PMID: 35046661.
36. Reiter PL, Pennell ML, Katz ML. Acceptability of a COVID-19 vaccine among adults in the United States: How many people would get vaccinated? Vaccine. 2020; 38(42):6500–6507. PMID: 32863069.
37. Fisher KA, Bloomstone SJ, Walder J, Crawford S, Fouayzi H, Mazor KM. Attitudes toward a potential SARS-CoV-2 vaccine : a survey of U.S. adults. Ann Intern Med. 2020; 173(12):964–973. PMID: 32886525.
38. Robertson E, Reeve KS, Niedzwiedz CL, Moore J, Blake M, Green M, et al. Predictors of COVID-19 vaccine hesitancy in the UK household longitudinal study. Brain Behav Immun. 2021; 94:41–50. PMID: 33713824.
39. Al-Hanawi MK, Alshareef N, El-Sokkary RH. Willingness to receive COVID-19 vaccination among older adults in Saudi Arabia: a community-based survey. Vaccines (Basel). 2021; 9(11):1257. PMID: 34835188.
40. Zintel S, Flock C, Arbogast AL, Forster A, von Wagner C, Sieverding M. Gender differences in the intention to get vaccinated against COVID-19: a systematic review and meta-analysis. Z Gesundh Wiss. 2022.
41. Sprengholz P, Korn L, Eitze S, Felgendreff L, Siegers R, Goldhahn L, et al. Attitude toward a mandatory COVID-19 vaccination policy and its determinants: evidence from serial cross-sectional surveys conducted throughout the pandemic in Germany. Vaccine. 2022; 40(51):7370–7377. PMID: 35153092.
42. Leuchter RK, Jackson NJ, Mafi JN, Sarkisian CA. Association between Covid-19 vaccination and influenza vaccination rates. N Engl J Med. 2022; 386(26):2531–2532. PMID: 35704429.
43. Sharma B, Racey CS, Booth A, Albert A, Smith LW, Gottschlich A, et al. Characterizing intentions to receive the COVID-19 vaccine among the general population in British Columbia based on their future intentions towards the seasonal influenza vaccine. Vaccine X. 2022; 12:100208. PMID: 35996447.
44. Kumar S, Shah Z, Garfield S. Causes of vaccine hesitancy in adults for the influenza and COVID-19 vaccines: a systematic literature review. Vaccines (Basel). 2022; 10(9):1518. PMID: 36146596.
45. Klüver H, Hartmann F, Humphreys M, Geissler F, Giesecke J. Incentives can spur COVID-19 vaccination uptake. Proc Natl Acad Sci U S A. 2021; 118(36):e2109543118. PMID: 34413212.
46. Tan M, Straughan PT, Cheong G. Information trust and COVID-19 vaccine hesitancy amongst middle-aged and older adults in Singapore: a latent class analysis Approach. Soc Sci Med. 2022; 296:114767. PMID: 35144226.
47. Wilson SL, Wiysonge C. Social media and vaccine hesitancy. BMJ Glob Health. 2020; 5(10):e004206.
48. Lee SK, Sun J, Jang S, Connelly S. Misinformation of COVID-19 vaccines and vaccine hesitancy. Sci Rep. 2022; 12(1):13681. PMID: 35953500.
49. Sekizawa Y, Hashimoto S, Denda K, Ochi S, So M. Association between COVID-19 vaccine hesitancy and generalized trust, depression, generalized anxiety, and fear of COVID-19. BMC Public Health. 2022; 22(1):126. PMID: 35042506.
50. Koltai J, Raifman J, Bor J, McKee M, Stuckler D. COVID-19 vaccination and mental health: a difference-in-difference analysis of the understanding America study. Am J Prev Med. 2022; 62(5):679–687. PMID: 35012830.
51. Wood AM, Froh JJ, Geraghty AW. Gratitude and well-being: a review and theoretical integration. Clin Psychol Rev. 2010; 30(7):890–905. PMID: 20451313.
52. Kumar SA, Edwards ME, Grandgenett HM, Scherer LL, DiLillo D, Jaffe AE. Does gratitude promote resilience during a pandemic? An examination of mental health and positivity at the onset of COVID-19. J Happiness Stud. 2022; 23(7):3463–3483. PMID: 35855779.
53. Jans-Beken L. A perspective on mature gratitude as a way of coping with COVID-19. Front Psychol. 2021; 12:632911. PMID: 33828504.
54. Lee JY, Kim M, Jhon M, Kim H, Kang HJ, Ryu S, et al. The association of gratitude with perceived stress among nurses in Korea during COVID-19 outbreak. Arch Psychiatr Nurs. 2021; 35(6):647–652. PMID: 34861959.
55. Karns CM, Moore WE 3rd, Mayr U. The cultivation of pure altruism via gratitude: a functional MRI study of change with gratitude practice. Front Hum Neurosci. 2017; 11:599. PMID: 29375336.
56. Wilt J, Revelle W. Extraversion. Leary MR, Hoyle RH, editors. Handbook of Individual Differences in Social Behavior. New York, NY, USA: The Guilford Press;2009. p. 27–45.
57. Graziano WG, Tobin RM. Agreeableness. Leary MR, Hoyle RH, editors. Handbook of Individual Differences in Social Behavior. New York, NY, USA: The Guilford Press;2009. p. 46–61.
58. Roberts BW, Jackson JJ, Fayard JV, Edmonds G, Meints J. Conscientiousness. Leary MR, Hoyle RH, editors. Handbook of Individual Differences in Social Behavior. New York, NY, USA: The Guilford Press;2009. p. 369–381. .
59. Lahey BB. Public health significance of neuroticism. Am Psychol. 2009; 64(4):241–256. PMID: 19449983.
60. Lin FY, Wang CH. Personality and individual attitudes toward vaccination: a nationally representative survey in the United States. BMC Public Health. 2020; 20(1):1759. PMID: 33228661.
61. Halstead IN, McKay RT, Lewis GJ. COVID-19 and seasonal flu vaccination hesitancy: Links to personality and general intelligence in a large, UK cohort. Vaccine. 2022; 40(32):4488–4495. PMID: 35710507.
62. Howard MC. The good, the bad, and the neutral: vaccine hesitancy mediates the relations of Psychological Capital, the Dark Triad, and the Big Five with vaccination willingness and behaviors. Pers Individ Dif. 2022; 190:111523. PMID: 35079191.

SUPPLEMENTARY MATERIAL

Supplementary Table 1

Exploratory factor analysis for COVID-19 vaccination attitude questionnaire
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