Acta medica Lituanica ISSN 1392-0138 eISSN 2029-4174

2022. Online ahead of print DOI: https://doi.org/10.15388/Amed.2022.29.2.11

Attitudes toward COVID-19 Pandemic among Fully Vaccinated Individuals: Evidence from Greece Two Years after the Pandemic

Petros Galanis*
Clinical Epidemiology Laboratory, Faculty of Nursing, National and Kapodistrian University of Athens, Athens, Greece
https://orcid.org/0000-0002-1308-5782

Irene Vraka
Department of Radiology, P. & A. Kyriakou Children’s Hospital, Athens, Greece

Aglaia Katsiroumpa
Clinical Epidemiology Laboratory, Faculty of Nursing, National and Kapodistrian University of Athens, Athens, Greece

Olga Siskou
Department of Tourism Studies, University of Piraeus, Piraeus, Greece

Olympia Konstantakopoulou
Center for Health Services Management and Evaluation, Faculty of Nursing, National and Kapodistrian University of Athens, Athens, Greece

Theodoros Katsoulas
Faculty of Nursing, National and Kapodistrian University of Athens, Athens, Greece

Theodoros Mariolis-Sapsakos
Faculty of Nursing, National and Kapodistrian University of Athens, Athens, Greece

Daphne Kaitelidou
Center for Health Services Management and Evaluation, Faculty of Nursing, National and Kapodistrian University of Athens, Athens, Greece

Abstract. Background: Considering the major effects of COVID-19 pandemic on health, social, economic, and political dimensions of all countries, positive attitudes toward COVID-19 pandemic are essential to control the pandemic. In our study, we investigated attitudes toward COVID-19 pandemic among fully COVID-19 vaccinated individuals two years after the pandemic and we identified predictors of attitudes.
Materials and Methods: We conducted an on-line cross-sectional study with 815 fully COVID-19 vaccinated individuals in Greece during May 2022. A self-administered and valid questionnaire was disseminated through social media platforms. We measured socio-demographic variables and COVID-19-related variables as potential predictors of attitudes toward COVID-19 pandemic. The outcome variable was attitudes toward COVID-19 pandemic (compliance with hygiene measures, trust in COVID-19 vaccination, fear of COVID-19, and information regarding the COVID-19 pandemic and vaccination).
Results: We found a very high level of compliance with hygiene measures, a high level of trust and information about the COVID-19 pandemic and vaccination, and a moderate level of fear of COVID-19. Also, we identified that females, participants with a higher educational level, those with a chronic disease, those with a better self-perceived physical health, and those without a previous COVID-19 diagnosis adhered more in hygiene measures. Trust in COVID-19 vaccination was higher among females, older participants, those with a higher educational level, those with a better self-perceived physical health, and those without a previous COVID-19 diagnosis. Moreover, females, older participants, those with a higher educational level, those with a chronic disease, those with a better self-perceived physical health, those that received a flu vaccine in previous season, and those without a previous COVID-19 diagnosis experienced more fear of COVID-19. Finally, level of information regarding COVID-19 pandemic and vaccination was higher for participants with a higher educational level, those without a chronic disease, those with a better self-perceived physical health, and those that received a flu vaccine in previous season.
Conclusions: Understanding predictors of attitudes toward COVID-19 pandemic among fully vaccinated individuals is crucial for developing appropriate public health campaigns in the future. Vaccination should be accompanied by positive attitudes in order to decrease the frequency of negative outcomes of COVID-19, such as hospitalization, complications and mortality.
Keywords: COVID-19, attitudes, vaccination, compliance, fear.

Visiškai paskiepytų asmenų požiūris į COVID-19 pandemiją: Graikijos duomenys praėjus dvejiem metams nuo pandemijos pradžios

Santrauka. Svarstydami svarbiausius COVID-19 pandemijos poveikio visų šalių sveikatos, socialinėms, ekonominėms ir politinėms dimensijoms aspektus, įžvelgiame, kad teigiamas požiūris į COVID-19 pandemiją yra būtinas pandemijai kontroliuoti. Šiame tyrime analizavome visiškai paskiepytų asmenų požiūrį į COVID-19 pandemiją praėjus dvejiem metams nuo pandemijos pradžios ir nustatėme prognozuoti leidžiančius ir požiūrį atskleidžiančius kriterijus.
Medžiaga ir metodai: Graikijoje 2022 metų gegužę atlikome internetinį skerspjūvio tyrimą, jame dalyvavo 815 nuo COVID-19 visiškai paskiepytų asmenų. Savarankiškai pildoma validi anketa buvo paskleista per socialinių medijų platformas. Matavome sociodemografinius kintamuosius ir su COVID-19 susijusius kintamuosius, vertinome, ar šie kintamieji yra tinkami nustatyti požiūrį į COVID-19 pandemiją. Pasirinkome tokius kintamuosius: požiūris į COVID-19 pandemiją (higienos normų laikymasis, pasitikėjimas COVID-19 vakcinacija, COVID-19 baimė bei informacija apie COVID-19 pandemiją ir vakcinaciją).
Rezultatai: Nustatėme labai aukštą higienos normų laikymosi lygį, didelį pasitikėjimo informaciją apie COVID-19 ir vakcinaciją lygį bei vidutinio lygio COVID-19 baimę. Taip pat pažymėtina, kad apklausoje dalyvavusios moterys, įgijusiosaukštesnį išsilavinimą, turinčios chroniškų ligų bei pasižyminčios geresne subjektyviai suvokiama sveikata, bei tos, kurioms dar nebuvo oficialiai diagnozuota COVID-19, buvo labiau linkusios laikytis higienos reikalavimų. Pasitikėjimas COVID-19 vakcinacija buvo didesnis moterų, vyresnio amžiaus asmenų, respondentų, turinčių aukštesnį išsilavinimą, taip pat tų asmenų, kurie subjektyviai mano, kad jų sveikata yra geresnė, bei tų, kuriems COVID-19 dar nebuvo oficialiai diagnozuota. Be to, moterys, vyresnio amžiaus apklausos dalyviai, asmenys, turintys aukštesnį išsilavinimą, taip pat turintieji chroniškų ligų, asmenys, subjektyviai manantys, kad jų sveikatos būklė yra geresnė, arba tie, kurie buvo pasiskiepiję nuo gripo praėjusį gripo sezoną, bei dalyviai, kuriems dar nebuvo oficialiai diagnozuota COVID-19, labiau bijojo susirgti. Be to, aukštesnio išsilavinimo apklausos dalyviai, asmenys, neturintys chroniškų ligų ar subjektyviai manantys, kad jų sveikatos būklė yra geresnė, bei tie, kurie buvo pasiskiepiję nuo gripo praėjusį gripo sezoną, turėjo daugiau žinių apie COVID-19 pandemiją ir vakcinaciją.
Išvados: Labai svarbu suvokti visiškai vakcinuotų asmenų požiūrį į COVID-19 pandemiją nusakančius ir prognozavimo galimybių teikiančius kintamuosius, kad ateityje būtų galima plėtoti efektyvias sveikatos apsaugos kampanijas. Vakcinacija turėtų skatinti pozityvų tokių asmenų požiūrį. Dėl to sumažėtų tokių neigiamų COVID-19 baigčių, kaip antai hospitalizacija, komplikacijos ir mirtingumas, dažnis.
Raktažodžiai: COVID-19, požiūris, vakcinacija, reikalavimų laikymasis, baimė.

_________

* Corresponding author: Petros Galanis, Assistant Professor, Clinical Epidemiology Laboratory, Faculty of Nursing, National and Kapodistrian University of Athens, 123 Papadiamantopoulou street, GR-11527, Athens, Greece. E-mail: pegalan@nurs.uoa.gr.

Received: 16/07/2022. Revised: 01/09/2022. Accepted: 02/09/2022
Copyright © 2022
Petros Galanis, Irene Vraka, Aglaia Katsiroumpa, Olga Siskou, Olympia Konstantakopoulou, Theodoros Katsoulas, Theodoros Mariolis-Sapsakos, Daphne Kaitelidou. Published by Vilnius University Press.This is an Open Access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Introduction

COVID-19 pandemic is evolving and it is estimated that about 560 million people were infected with COVID-19 pandemic and about 6.3 million people have died until to date (13 July 2022) [1]. Breakthrough infections and new contagious variants of SARS-CoV-2 continue to threaten individuals even those that had completed the COVID-19 vaccine course [2,3]. Considering the major effects of COVID-19 pandemic on health, social, economic, and political dimensions of all countries, positive attitudes toward COVID-19 pandemic are essential to control the pandemic. Thus, understanding the attitudes of the general population and identifying potential predictors could help policy makers to achieve the outcomes of planed behavior [4,5]. A systematic review identified 43 studies worldwide that examined the attitudes of the individuals toward COVID-19 and all of them reported a positive attitude [6].

Positive attitudes such as adherence with COVID-19 public health guidelines are influenced by several factors, e.g., older age, female gender, trust in governments, information through traditional news media, and high self-perceived threaten of COVID-19 [7]. Moreover, COVID-19 vaccination uptake is another important dimension of positive attitudes toward COVID-19 and the available evidence suggests that the vaccination rate is higher among males, white people, older people, those with higher socio-economic status, those with a chronic condition, and those that are well informed about COVID-19 vaccines [8]. Positive attitudes toward COVID-19 continue to be essential to curb COVID-19 infection rates and there is still interest in investigating potential predictors of these attitudes.

On March 2020, the Greek government announced the first lockdown in Greece due to the first confirmed COVID-19 cases in the country [9]. Two years later, Greece has been among countries with the highest mortality rates from COVID-19 worldwide with 2953 deaths per one million population [1]. Meanwhile, safe and effective COVID-19 vaccines [10,11] were administrated by early 2021 in Greece. Considering that the rate of completed vaccinations in Greece is high and equal to the rate among countries in the European Union (73.6% vs. 73.3%) [12] the assessment of public attitudes toward COVID-19 pandemic could be critical to predicting future attitudes toward COVID-19 vaccination and COVID-19 pandemic in general.

Thus, given the importance of the issue, we investigated attitudes toward COVID-19 pandemic among fully COVID-19 vaccinated individuals in Greece two years after the pandemic and we identified predictors of attitudes.

Methods

Study design

We conducted a cross-sectional study in Greece during May 2022. We created an anonymous version of the study questionnaire in Greek using Google forms and we disseminated it through social media platforms. Thus, a convenience sample was obtained. Participation in the study was allowed for individuals aged 18 years or above that understand the Greek language and have completed the COVID-19 vaccine course (primary doses and booster dose). Participation in the study was anonymous and voluntary. Moreover, we followed the principles of the Declaration of Helsinki, while the study protocol was approved by the Ethics Committee of Department of Nursing, National and Kapodistrian University of Athens (reference number; 370, 02-09-2021).

Predictors and outcome variables

We measured socio-demographic variables and COVID-19-related variables as potential predictors of attitudes toward COVID-19 pandemic. In particular, we measured gender (male or female), age (continuous variable), marital status (single, married, divorced, or widow), educational level (elementary school, high school, or university degree), MSc/PhD degree (yes or no), chronic disease (yes or no), self-assessment of physical health (very poor, poor, moderate, good, or very good), influenza vaccination during 2021 (yes or no), previous COVID-19 diagnosis (yes or no), and COVID-19-related death in family members/friends (yes or no).

The outcome variable was attitudes toward COVID-19 pandemic and was measured with a valid questionnaire [13]. The questionnaire includes 16 items and four factors (compliance with hygiene measures, trust in COVID-19 vaccination, fear of COVID-19, and information regarding the COVID-19 pandemic and vaccination). Internal reliability of the questionnaire in our study was very good since Cronbach’s coefficient alpha was 0.71 for the factor “compliance with hygiene measures”, 0.78 for the factor “trust in COVID-19 vaccination”, 0.85 for the factor “fear of COVID-19”, and 0.81 for the factor “information regarding the COVID-19 pandemic and vaccination”. Responses for the 16 items range from 0 (totally disagree) to 10 (totally agree). Also, a total score from 0 to 10 is calculated for each factor. Higher values indicate higher level of compliance, trust, fear, and information.

Statistical analysis

We use absolute (n) and relative (%) frequencies to present categorical variables. Continuous variables are presented as mean, standard deviation, median, minimum value, and maximum value. The outcome variables were continuous variables that followed normal distribution. Therefore, we performed univariate and multivariable linear regression analysis to assess the impact of predictor variables on attitudes toward COVID-19 pandemic. We calculated unadjusted and adjusted coefficient beta for each predictor with corresponding 95% confidence intervals (CI) and p-values. A p-value < 0.05 was considered statistically significant. Statistical analysis was performed with the Statistical Package for Social Sciences software (IBM Corp. Released 2012. IBM SPSS Statistics for Windows, Version 21.0. Armonk, NY: IBM Corp.).

Results

Socio-demographic characteristics and COVID-19-related characteristics of the participants are presented in Table 1. Mean age of the participants was 37 years, while 76.1% of them were females, 54% were singles, and 72.4% had a University degree. Moreover, 23.3% of the participants suffered from a chronic disease and 82.4% of them considered their physical health as good/very good. Among the participants, 33.1% received a flu vaccine in previous season, 50.9% were diagnosed with COVID-19 and 31.3% had family members/friends who had died because of COVID-19.

Table 1. Socio-demographic characteristics and COVID-19-related characteristics of the participants.

Characteristics

N

%

Gender

Males

195

23.9

Females

620

76.1

Age (years)a

37.0

13.3

Marital status

Singles

440

54.0

Married

290

35.6

Divorced

75

9.2

Widowed

10

1.2

Educational level

Elementary school

0

0.0

High school

225

27.6

University degree

590

72.4

MSc/PhD degree

No

330

40.5

Yes

485

59.5

Chronic disease

No

625

76.7

Yes

190

23.3

Self-perceived physical health

Very poor

0

0.0

Poor

5

0.6

Moderate

90

11.0

Good

400

49.1

Very good

320

39.3

Influenza vaccination in previous season

No

545

66.9

Yes

270

33.1

Previous COVID-19 diagnosis

No

400

49.1

Yes

415

50.9

COVID-19-related death in family members/friends

No

560

68.7

Yes

255

31.3

a mean, standard deviation

Descriptive statistics for the four factors of the questionnaire that we used to measure attitudes toward COVID-19 pandemic are shown in Table 2. Mean value on the factor “compliance with hygiene measures” was 9.0 indicating a very high level of compliance, while mean value on the factor “trust in COVID-19 vaccination” (7.0) denoted a high level of trust. Participants’ fear of COVID-19 was moderate (mean=5.6), while the level of information about the COVID-19 pandemic and vaccination was high (mean=8.1).

Table 2. Descriptive statistics for the four factors that measure attitudes toward COVID-19 pandemic.

Factors

Mean

Standard deviation

Median

Minimum value

Maximum value

Compliance with hygiene measures

9.0

1.1

9.5

4.5

10

Trust in COVID-19 vaccination

7.0

1.6

7.1

2.4

9.4

Fear of COVID-19

5.6

2.0

5.6

1.2

9.6

Information regarding the COVID-19 pandemic and vaccination

8.1

1.5

8.0

3.0

10.0

Univariate and multivariable linear regression analysis with attitudes toward COVID-19 pandemic as the dependent variables are shown in Tables 3 and 4. We found that females, married participants, those with a higher educational level, those with a chronic disease, those with a better self-perceived physical health, and those without a previous COVID-19 diagnosis adhered more in hygiene measures. Trust in COVID-19 vaccination was higher among females, older participants, married participants, those with a higher educational level, those with a better self-perceived physical health, those without a previous COVID-19 diagnosis, and those without a COVID-19-related death in family members/friends. Moreover, females, older participants, married participants, those with a higher educational level, those with a chronic disease, those with a better self-perceived physical health, those that received a flu vaccine in previous season, and those without a previous COVID-19 diagnosis experienced more fear of COVID-19. Finally, level of information regarding COVID-19 pandemic and vaccination was higher for participants with a higher educational level, those without a chronic disease, those with a better self-perceived physical health, those that received a flu vaccine in previous season, and those without a COVID-19-related death in family members/friends.

Table 3. Univariate and multivariable linear regression analysis with individuals’ compliance with hygiene measures and trust in COVID-19 vaccination as the dependent variables.

Predictor variables

Compliance with hygiene measures

Trust in COVID-19 vaccination

Unadjusted coefficient beta (95% CI)

P-value

Adjusted coefficient beta (95% CI)a

P-value

Unadjusted coefficient beta (95% CI)

P-value

Adjusted coefficient beta (95% CI)b

P-value

Gender
(females vs. males)

0.47 (0.29 to 0.65)

<0.001

0.59 (0.41 to 0.76)

<0.001

0.26 (-0.002 to 0.52)

0.05

0.48 (0.23 to 0.73)

<0.001

Age
(years)

0.02 (0.01 to 0.022)

<0.001

0.007 (0.0003 to 0.02)

0.055

0.04 (0.03 to 0.05)

<0.001

0.03 (0.02 to 0.04)

<0.001

Marital status (married vs. singles/widowed/divorced)

0.41 (0.25 to 0.57)

<0.001

0.38 (0.21 to 0.55)

<0.001

0.78 (0.55 to 1.00)

<0.001

0.35 (0.10 to 0.59)

0.005

Educational level (university degree vs. high school)

0.25 (0.08 to 0.42)

0.004

0.23 (0.01 to 0.46)

0.06

0.56 (0.31 to 0.80)

<0.001

0.41 (0.09 to 0.75)

0.013

MSc/PhD degree
(yes vs. no)

0.42 (0.27 to 0.57)

0.001

0.41 (0.21 to 0.61)

<0.001

0.70 (0.48 to 0.92)

<0.001

0.60 (0.32 to 0.89)

<0.001

Chronic disease
(yes vs. no)

0.31 (0.13 to 0.49)

0.001

0.31 (0.13 to 0.49)

0.001

0.06 (-0.20 to 0.32)

0.65

0.02 (-0.23 to 0.27)

0.88

Self-perceived physical health (good/very good vs. very poor/poor/moderate)

0.13 (-0.11 to 0.37)

0.28

0.39 (0.16 to 0.63)

0.001

0.32 (-0.03 to 0.66)

0.07

0.47 (0.14 to 0.80)

0.005

Influenza vaccination during 2021
(yes vs. no)

0.25 (0.09 to 0.41)

0.002

0.12 (-0.04 to 0.29)

0.15

-0.17 (-0.41 to 0.07)

0.16

0.22 (-0.01 to 0.45)

0.07

Previous COVID-19 diagnosis
(yes vs. no)

-0.19 (-0.34 to -0.03)

0.017

-0.21 (-0.36 to -0.07)

0.004

0.29 (-0.57 to 1.15)

0.51

-0.36 (-0.56 to -0.15)

0.001

COVID-19-related death in family members/friends (yes vs. no)

-0.09 (-0.26 to 0.07)

0.25

-0.06 (-0.22 to 0.09)

0.44

-0.17 (-0.41 to 0.07)

0.16

-0.23 (-0.45 to -0.003)

0.047

A negative coefficient beta indicates a negative association, while a positive coefficient beta indicates a positive association.
CI: confidence interval
a R2 for the final multivariable model was 13.2%
b R2 for the final multivariable model was 17.8%

Table 4. Univariate and multivariable linear regression analysis with individuals’ fear of COVID-19 and information regarding COVID-19 pandemic and vaccination as the dependent variables.

Predictor variables

Fear of COVID-19

Information regarding COVID-19 pandemic and vaccination

Unadjusted coefficient beta (95% CI)

P-value

Adjusted coefficient beta (95% CI)a

P-value

Unadjusted coefficient beta (95% CI)

P-value

Adjusted coefficient beta (95% CI)b

P-value

Gender
(females vs. males)

0.12 (-0.20 to 0.44)

0.45

0.43 (0.11 to 0.74)

0.008

-0.29 (-0.53 to -0.05)

0.017

-0.17 (-0.41 to 0.07)

0.17

Age
(years)

0.04 (0.03 to 0.05)

<0.001

0.01 (0.001 to 0.03)

0.035

0.006 (-0.002 to 0.01)

0.13

-0.004 (-0.01 to 0.005)

0.37

Marital status (married vs. singles/widowed/divorced)

0.74 (0.46 to 1.02)

<0.001

0.41 (0.11 to 0.72)

0.008

0.14 (-0.07 to 0.35)

0.19

0.03 (-0.20 to 0.26)

0.80

Educational level (university degree vs. high school)

0.93 (0.63 to 1.22)

<0.001

0.46 (0.04 to 0.88)

0.032

0.06 (0.17 to 0.28)

0.63

0.45 (0.13 to 0.77)

0.006

MSc/PhD degree
(yes vs. no)

0.73 (0.46 to 1.00)

<0.001

0.19 (-0.17 to 0.55)

0.30

0.22 (0.02 to 0.43)

0.034

0.50 (0.23 to 0.78)

<0.001

Chronic disease
(yes vs. no)

0.39 (0.07 to 0.71)

0.016

0.37 (0.05 to 0.69)

0.022

-0.51 (-0.75 to -0.23)

<0.001

-0.43 (-0.67 to -0.19)

0.001

Self-perceived physical health (good/very good vs. very poor/poor/moderate)

0.15 (-0.27 to 0.58)

0.47

0.43 (0.01 to 0.85)

0.043

0.59 (0.27 to 0.90)

<0.001

0.42 (0.09 to 0.74)

0.011

Influenza vaccination during 2021
(yes vs. no)

0.79 (0.51 to 1.07)

<0.001

0.49 (0.20 to 0.79)

0.001

0.67 (0.44 to 0.90)

<0.001

0.77 (0.54 to 0.99)

<0.001

Previous COVID-19 diagnosis
(yes vs. no)

-0.64 (-0.91 to -0.37)

<0.001

-0.57 (-0.83 to -0.32)

<0.001

-0.39 (-0.61 to -0.17)

0.001

-0.17 (-0.36 to 0.03)

0.09

COVID-19-related death in family members/friends (yes vs. no)

0.10 (-0.19 to 0.39)

0.50

0.02 (-0.27 to 0.30)

0.91

-0.20 (-0.42 to 0.02)

0.08

-0.24 (-0.46 to -0.03)

0.028

A negative coefficient beta indicates a negative association, while a positive coefficient beta indicates a positive association.
CI: confidence interval
a R2 for the final multivariable model was 12.0%
b R2 for the final multivariable model was 10.3%

Discussion

We conducted a cross-sectional study among fully COVID-19 vaccinated individuals in Greece in order to investigate their attitudes toward COVID-19 pandemic. To the best of our knowledge, this is the first study that examines this issue among fully COVID-19 vaccinated individuals. The study findings are extremely encouraging, since two years after the COVID-19 pandemic our participants expressed a very high level of compliance with hygiene measures and a high level of trust in COVID-19 vaccination. Also, our results shown that the level of information about the COVID-19 pandemic and vaccination was high, while fear of COVID-19 was moderate. Moreover, we identified several socio-demographic characteristics and COVID-19-related characteristics of the participants as predictors of attitudes toward COVID-19 pandemic.

We found that compliance with hygiene measures was more prevalent in females. Available literature supports this finding [14–17] and could be explained by females’ tendency to practice socially acceptable behavior [18,19]. This finding is interesting since it is well known that COVID-19 mortality is higher for males compared to females [20,21]. In our study increased educational level was associated with greater compliance with hygiene measures. This finding is confirmed by studies conducting both in the general population and healthcare workers [22,23]. Similar studies regarding the swine influenza pandemic in Saudi Arabia and the severe acute respiratory syndrome in Hong Kong confirm the positive effect of education on public attitudes and practices [24,25]. Higher educational level could help individuals to have a better understanding of the information with regards to the COVID-19 pandemic. Therefore, people in a higher educational level could improve their knowledge and adopt positive preventive practices. Our results support the finding of the literature that chronic conditions are associated with higher level of compliance [26–28]. This finding is not surprising since it is well known that negative outcomes of COVID-19 (e.g., complications, hospitalization, and fatality) are more common among patients with chronic diseases (e.g., diabetes, hypertension, and respiratory chronic diseases) [29,30]. Therefore, people with morbidities take more precautions in protecting themselves against COVID-19 compared to healthy people.

According to our results, level of trust in COVID-19 vaccination was higher among females, older participants, those with a higher educational level, those without a previous COVID-19 diagnosis, and those with better self-perceived physical health. These findings are confirmed by evidence since older age, higher socio-economic status, and higher self-perceived COVID-19 vulnerability are the main predictors of COVID-19 vaccination uptake in the general population [8]. In addition, higher educational level and absence of COVID-19 infection have already proven to be independent predictors of COVID-19 vaccination uptake [31,32]. Additional data from pregnant women reveal that uptake rate is higher among older women and women without a previous COVID-19 diagnosis [33]. Moreover, two recent studies [34,35] identified female gender as a predictor of individuals’ willingness to accept a first COVID-19 booster dose, while another study [36] found that people with better self-perceived physical health and people without a previous COVID-19 diagnosis had higher odds of accepting a second booster dose.

In our study, females experienced more fear of COVID-19 than males. Several studies both in the general population and healthcare workers confirm that fear of COVID-19 is higher in females [37–41]. In general, females experience the COVID-19 pandemic worse than males, since the prevalence of mood and anxiety disorders are higher in females than males [42,43]. The relationship between gender and COVID-19 experiences could be attributed to social, biological, and psychological differences between males and females. For instance, females tend to experience more anxiety and psychological distress than males [44]. Moreover, we found that level of fear of COVID-19 was higher among individuals with a chronic disease. This finding echoes the results of similar research which shows a positive relationship between morbidity and fear of COVID-19 [45–47]. Individuals with a chronic condition may be afraid of COVID-19 due to the established association between morbidity and COVID-19-related mortality [29,30]. In a similar way, we found that increased age was associated with increased level of fear of COVID-19. A systematic review confirms the positive relationship between age and fear of COVID-19 [41]. It is reasonable older individuals to be more afraid of COVID-19 since older age is one of the main predictors of COVID-19-related mortality [48,49]. In our study, the higher educational level was significantly associated with fear of COVID-19. The impact of education on fear is controversial since two studies [50,51] in Peru and Iran found a positive relationship between age and fear, while two studies [52,53] in China and Colombia found the opposite result. Interestingly, a large study with 14,558 participants in 48 countries found that less educated participants experienced increased fear of COVID-19 [54]. Reduced access to health care services and difficulties in understanding health promotion media messages [55] and weaker tendency to respond to health promotion media messages [56] could explain fear of people with lower education.

There is limited evidence regarding the factors that influence information in COVID-19 era since research until now has just focused on the information seeking and the sources of information. We found that level of information regarding COVID-19 pandemic and vaccination was higher for participants with a higher educational level. COVID-19 pandemic affects more vulnerable populations such as less educated with worse health status [57]. A similar study [58] in China found that vulnerable groups (e.g., older, females, and unemployed) expressed more concerns about lack of timely information regarding COVID-19. Therefore, policy makers should provide these vulnerable groups with more adequate and timely information. On the other hand, individuals with a higher educational level have higher expectations for information disclosure since they are more eager to get full information regarding COVID-19 pandemic [58]. Achieving a high level of information is essential to promote preventive behaviors against COVID-19 among the public since there is a direct relation between COVID-19 information and promotion of individual health [59,60].

Limitations

Our study had several limitations. First, we used a convenience sample and participants were recruited through social media. Thus, our sample could not be representative of the general population of Greece and we cannot generalize our findings. Studies using nationally representative samples could add more information in this research topic. Also, we used a self-reported questionnaire to collect data that can be influenced by social desirability. Moreover, we investigated only a few socio-demographic characteristics and COVID-19-related characteristics as potential predictors of fear of attitudes toward COVID-19 pandemic. Therefore, future studies should expand research investigating other potential predictors, e.g., psychological variables, personality characteristics, social media variables, information sources, etc. Finally, cross-sectional studies like our study could never establish a causal relation between independent variables and attitudes toward COVID-19 pandemic.

Conclusions

Understanding predictors of attitudes toward COVID-19 pandemic among fully vaccinated individuals is crucial for developing appropriate public health campaigns in the future. Fully vaccinated people may be feel safe against COVID-19 adopting then less positive attitudes, e.g., less wearing of face masks and non-adaptation of physical distancing. In addition, COVID-19-related deaths among fully vaccinated individuals are occurred since no vaccine could have perfect effectiveness. This fact could threaten public trust in COVID-19 vaccination, leading to disappointment and negative attitudes. Therefore, policy makers should always keep in mind fully vaccinated people in order to maintain or even improve positive attitudes toward COVID-19 pandemic in this group. Vaccination against COVID-19 is a tremendous weapon to control the pandemic but it is not the only one. Vaccination should be accompanied by positive attitudes toward COVID-19 pandemic in order to decrease transmission mode of the virus and frequency of negative outcomes of COVID-19, e.g., hospitalization and COVID-19-related deaths.

References

  1. Worldometer. Published 2022. Accessed July 13, 2022. https://www.worldometers.info/coronavirus/?fbclid=
    IwAR3T5FX-sv_X1GABioSDrcHEHSxg694_LZmDFQ3lFJjsBQQmiTemxcAow5k#countries
  2. Chung HY, Jian MJ, Chang CK, et al. Emergency SARS-CoV-2 Variants of Concern: Novel Multiplex Real-Time RT-PCR Assay for Rapid Detection and Surveillance. Microbiol Spectr. 2022;10(1):e0251321. doi:10.1128/spectrum.02513-21
  3. Haque A, Pant AB. Mitigating Covid-19 in the face of emerging virus variants, breakthrough infections and vaccine hesitancy. J Autoimmun. 2022;127:102792. doi:10.1016/j.jaut.2021.102792
  4. Wu Z, McGoogan JM. Characteristics of and Important Lessons From the Coronavirus Disease 2019 (COVID-19) Outbreak in China: Summary of a Report of 72 314 Cases From the Chinese Center for Disease Control and Prevention. JAMA. 2020;323(13):1239. doi:10.1001/jama.2020.2648
  5. McEachan R, Taylor N, Harrison R, Lawton R, Gardner P, Conner M. Meta-Analysis of the Reasoned Action Approach (RAA) to Understanding Health Behaviors. Ann Behav Med. 2016;50(4):592-612. doi:10.1007/s12160-016-9798-4
  6. Saadatjoo S, Miri M, Hassanipour S, Ameri H, Arab-Zozani M. Knowledge, attitudes, and practices of the general population about Coronavirus disease 2019 (COVID-19): a systematic review and meta-analysis with policy recommendations. Public Health. 2021;194:185-195. doi:10.1016/j.puhe.2021.03.005
  7. Moran C, Campbell DJT, Campbell TS, et al. Predictors of attitudes and adherence to COVID-19 public health guidelines in Western countries: a rapid review of the emerging literature. Journal of Public Health. 2021;43(4):739-753. doi:10.1093/pubmed/fdab070
  8. Galanis P, Vraka I, Siskou O, Konstantakopoulou O, Katsiroumpa A, Kaitelidou D. Predictors of COVID-19 vaccination uptake and reasons for decline of vaccination: a systematic review. medrxiv. Published online July 31, 2021. doi:10.1101/2021.07.28.21261261
  9. Wikipedia. Published 2022. Accessed July 13, 2022. https://en.wikipedia.org/wiki/COVID-19_pandemic_in_Greece
  10. Fan YJ, Chan KH, Hung IFN. Safety and Efficacy of COVID-19 Vaccines: A Systematic Review and Meta-Analysis of Different Vaccines at Phase 3. Vaccines (Basel). 2021;9(9):989. doi:10.3390/vaccines9090989
  11. Pormohammad A, Zarei M, Ghorbani S, et al. Efficacy and Safety of COVID-19 Vaccines: A Systematic Review and Meta-Analysis of Randomized Clinical Trials. Vaccines (Basel). 2021;9(5):467. doi:10.3390/vaccines9050467
  12. Covidvax.live. Published 2022. Accessed July 13, 2022. https://covidvax.live/location/grc
  13. Galanis P, Vraka I, Siskou O, et al. Development and validation of a questionnaire to measure attitudes toward COVID-19 vaccination and pandemic. Int J Caring Sci. 2022;15(1):1-10.
  14. Nivette A, Ribeaud D, Murray A, et al. Non-compliance with COVID-19-related public health measures among young adults in Switzerland: Insights from a longitudinal cohort study. Social Science & Medicine. 2021;268:113370. doi:10.1016/j.socscimed.2020.113370
  15. Seale H, Heywood AE, Leask J, et al. COVID-19 is rapidly changing: Examining public perceptions and behaviors in response to this evolving pandemic. PLoS ONE. 2020;15(6):e0235112. doi:10.1371/journal.pone.0235112
  16. Yousuf H, Corbin J, Sweep G, et al. Association of a Public Health Campaign About Coronavirus Disease 2019 Promoted by News Media and a Social Influencer With Self-reported Personal Hygiene and Physical Distancing in the Netherlands. JAMA Netw Open. 2020;3(7):e2014323. doi:10.1001/jamanetworkopen.2020.14323
  17. Paramita W, Rostiani R, Winahjoe S, Wibowo A, Virgosita R, Audita H. Explaining the Voluntary Compliance to COVID-19 Measures: An Extrapolation on the Gender Perspective. Glob J Flex Syst Manag. 2021;22(S1):1-18. doi:10.1007/s40171-021-00261-1
  18. Suen LKP, So ZYY, Yeung SKW, Lo KYK, Lam SC. Epidemiological investigation on hand hygiene knowledge and behaviour: a cross-sectional study on gender disparity. BMC Public Health. 2019;19(1):401. doi:10.1186/s12889-019-6705-5
  19. Johnson HD, Sholcosky D, Gabello K, Ragni R, Ogonosky N. Sex Differences in Public Restroom Handwashing Behavior Associated with Visual Behavior Prompts. Percept Mot Skills. 2003;97(3):805-810. doi:10.2466/pms.2003.97.3.805
  20. Nguyen NT, Chinn J, De Ferrante M, Kirby KA, Hohmann SF, Amin A. Male gender is a predictor of higher mortality in hospitalized adults with COVID-19. PLoS One. 2021;16(7):e0254066. doi:10.1371/journal.pone.0254066
  21. Nielsen J, Nørgaard SK, Lanzieri G, Vestergaard LS, Moelbak K. Sex-differences in COVID-19 associated excess mortality is not exceptional for the COVID-19 pandemic. Sci Rep. 2021;11(1):20815. doi:10.1038/s41598-021-00213-w
  22. Olum R, Chekwech G, Wekha G, Nassozi DR, Bongomin F. Coronavirus Disease-2019: Knowledge, Attitude, and Practices of Health Care Workers at Makerere University Teaching Hospitals, Uganda. Front Public Health. 2020;8:181. doi:10.3389/fpubh.2020.00181
  23. Almutairi AF, BaniMustafa A, Alessa YM, Almutairi SB, Almaleh Y. Public Trust and Compliance with the Precautionary Measures Against COVID-19 Employed by Authorities in Saudi Arabia. Risk Manag Healthc Policy. 2020;13:753-760. doi:10.2147/RMHP.S257287
  24. Balkhy HH, Abolfotouh MA, Al-Hathlool RH, Al-Jumah MA. Awareness, attitudes, and practices related to the swine influenza pandemic among the Saudi public. BMC Infect Dis. 2010;10(1):42. doi:10.1186/1471-2334-10-42
  25. Leung GM, Lam TH, Ho LM, et al. The impact of community psychological responses on outbreak control for severe acute respiratory syndrome in Hong Kong. J Epidemiol Community Health. 2003;57(11):857-863. doi:10.1136/jech.57.11.857
  26. Silesh M, Demisse TL, Taye BT, et al. Compliance with COVID-19 Preventive Measures and Associated Factors Among Women Attending Antenatal Care at Public Health Facilities of Debre Berhan Town, Ethiopia. RMHP. 2021;14:4561-4569. doi:10.2147/RMHP.S330932
  27. Wong ELY, Ho KF, Dong D, et al. Compliance with Standard Precautions and Its Relationship with Views on Infection Control and Prevention Policy among Healthcare Workers during COVID-19 Pandemic. Int J Environ Res Public Health. 2021;18(7):3420. doi:10.3390/ijerph18073420
  28. Kumbeni MT, Apanga PA, Yeboah EO, Lettor IBK. Knowledge and preventive practices towards COVID-19 among pregnant women seeking antenatal services in Northern Ghana. PLoS ONE. 2021;16(6):e0253446. doi:10.1371/journal.pone.0253446
  29. Zhou F, Yu T, Du R, et al. Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study. The Lancet. 2020;395(10229):1054-1062. doi:10.1016/S0140-6736(20)30566-3
  30. Yang J, Zheng Y, Gou X, et al. Prevalence of comorbidities and its effects in patients infected with SARS-CoV-2: a systematic review and meta-analysis. International Journal of Infectious Diseases. 2020;94:91-95. doi:10.1016/j.ijid.2020.03.017
  31. Martin CA, Patel P, Goss C, et al. Demographic and occupational determinants of anti-SARS-CoV-2 IgG seropositivity in hospital staff. Journal of Public Health. 2022;44(2):234-245. doi:10.1093/pubmed/fdaa199
  32. Pacella-LaBarbara ML, Park YL, Patterson PD, et al. COVID-19 Vaccine Uptake and Intent Among Emergency Healthcare Workers: A Cross-Sectional Survey. Journal of Occupational & Environmental Medicine. 2021;63(10):852-856. doi:10.1097/JOM.0000000000002298
  33. Galanis P, Vraka I, Siskou O, Konstantakopoulou O, Katsiroumpa A, Kaitelidou D. Uptake of COVID-19 Vaccines among Pregnant Women: A Systematic Review and Meta-Analysis. Vaccines. 2022;10(5):766. doi:10.3390/vaccines10050766
  34. Miao Y, Li Y, Zhang W, et al. The Psychological Experience of COVID-19 Vaccination and Its Impact on the Willingness to Receive Booster Vaccines among the Chinese Population: Evidence from a National Cross-Sectional Study. Int J Environ Res Public Health. 2022;19(9):5464. doi:10.3390/ijerph19095464
  35. Rzymski P, Poniedziałek B, Fal A. Willingness to Receive the Booster COVID-19 Vaccine Dose in Poland. Vaccines (Basel). 2021;9(11):1286. doi:10.3390/vaccines9111286
  36. Galanis P, Vraka I, Katsiroumpa A, et al. Predictors of Willingness of the General Public to Receive a Second COVID-19 Booster Dose or a New COVID-19 Vaccine: A Cross-Sectional Study in Greece. Vaccines. 2022;10(7):1061. doi:10.3390/vaccines10071061
  37. García-Reyna B, Castillo-García GD, Barbosa-Camacho FJ, et al. Fear of COVID-19 Scale for Hospital Staff in Regional Hospitals in Mexico: a Brief Report. Int J Ment Health Addict. 2022;20(2):895-906. doi:10.1007/s11469-020-00413-x
  38. Galanis P, Petrogianni E, Vraka I, et al. Fear of COVID-19 among Nurses in Mobile COVID-19 Testing Units in Greece. Int J Caring Sci. 2021;14(2):802-810.
  39. Patelarou E, Galanis P, Mechili EA, et al. Assessment of COVID-19 Fear in Five European Countries before Mass Vaccination and Key Predictors among Nurses and Nursing Students. Vaccines. 2022;10(1):98. doi:10.3390/vaccines10010098
  40. Sakib N, Akter T, Zohra F, Bhuiyan AKMI, Mamun MA, Griffiths MD. Fear of COVID-19 and Depression: A Comparative Study Among the General Population and Healthcare Professionals During COVID-19 Pandemic Crisis in Bangladesh. Int J Ment Health Addiction. Published online February 19, 2021. doi:10.1007/s11469-020-00477-9
  41. Luo F, Ghanei Gheshlagh R, Dalvand S, Saedmoucheshi S, Li Q. Systematic Review and Meta-Analysis of Fear of COVID-19. Front Psychol. 2021;12:661078. doi:10.3389/fpsyg.2021.661078
  42. Rossi R, Socci V, Talevi D, et al. COVID-19 Pandemic and Lockdown Measures Impact on Mental Health Among the General Population in Italy. Front Psychiatry. 2020;11:790. doi:10.3389/fpsyt.2020.00790
  43. Tzur Bitan D, Grossman-Giron A, Bloch Y, Mayer Y, Shiffman N, Mendlovic S. Fear of COVID-19 scale: Psychometric characteristics, reliability and validity in the Israeli population. Psychiatry Research. 2020;289:113100. doi:10.1016/j.psychres.2020.113100
  44. Casagrande M, Favieri F, Tambelli R, Forte G. The enemy who sealed the world: effects quarantine due to the COVID-19 on sleep quality, anxiety, and psychological distress in the Italian population. Sleep Med. 2020;75:12-20. doi:10.1016/j.sleep.2020.05.011
  45. Aylie NS, Mekonen MA, Mekuria RM. The Psychological Impacts of COVID-19 Pandemic Among University Students in Bench-Sheko Zone, South-west Ethiopia: A Community-based Cross-sectional Study. Psychol Res Behav Manag. 2020;13:813-821. doi:10.2147/PRBM.S275593
  46. Kassir G, El Hayek S, Zalzale H, Orsolini L, Bizri M. Psychological distress experienced by self-quarantined undergraduate university students in Lebanon during the COVID-19 outbreak. Int J Psychiatry Clin Pract. 2021;25(2):172-179. doi:10.1080/13651501.2021.1900872
  47. Zhan Y, Liu Y, Liu H, et al. Factors associated with insomnia among Chinese front-line nurses fighting against COVID-19 in Wuhan: A cross-sectional survey. J Nurs Manag. 2020;28(7):1525-1535. doi:10.1111/jonm.13094
  48. Biswas M, Rahaman S, Biswas TK, Haque Z, Ibrahim B. Association of Sex, Age, and Comorbidities with Mortality in COVID-19 Patients: A Systematic Review and Meta-Analysis. Intervirology. Published online December 9, 2020:1-12. doi:10.1159/000512592
  49. Tiruneh SA, Tesema ZT, Azanaw MM, Angaw DA. The effect of age on the incidence of COVID-19 complications: a systematic review and meta-analysis. Syst Rev. 2021;10(1):80. doi:10.1186/s13643-021-01636-2
  50. Sotomayor-Beltran C, Matta-Solis H, Perez-Siguas R, Matta-Solis E, Matta-Zamudio L. Fear of COVID-19 among Peruvian People Living in Disadvantaged Communities: A Cross-Sectional Study. Clin Pract Epidemiol Ment Health. 2021;17:19-25. doi:10.2174/1745017902117010019
  51. Zamanian M, Ahmadi D, Sindarreh S, et al. Fear and rumor associated with COVID-19 among Iranian adults, 2020. J Educ Health Promot. 2020;9:355. doi:10.4103/jehp.jehp_589_20
  52. Chen B, Sun X, Xie F, et al. Fear in the Chinese Population: Influential Patterns in the Early Stage of the COVID-19 Pandemic. Front Psychol. 2021;12:567364. doi:10.3389/fpsyg.2021.567364
  53. Scoppetta O, Cassiani-Miranda CA, Arismendy-López YA, Tirado-Otálvaro AF. Psychometric Properties of an Instrument to Assess the Fear of COVID-19 in a Sample in Argentina: a Mixed Approach. Int J Ment Health Addict. Published online January 14, 2022:1-14. doi:10.1007/s11469-021-00742-5
  54. Sawicki AJ, Żemojtel-Piotrowska M, Balcerowska JM, et al. The fear of COVID-19 scale: Its structure and measurement invariance across 48 countries. Psychol Assess. 2022;34(3):294-310. doi:10.1037/pas0001102
  55. Oliver A. Equity of access to health care: outlining the foundations for action. Journal of Epidemiology & Community Health. 2004;58(8):655-658. doi:10.1136/jech.2003.017731
  56. Iversen MM, Norekvål TM, Oterhals K, et al. Psychometric Properties of the Norwegian Version of the Fear of COVID-19 Scale. Int J Ment Health Addiction. 2022;20(3):1446-1464. doi:10.1007/s11469-020-00454-2
  57. Egede LE, Ruggiero KJ, Frueh BC. Ensuring mental health access for vulnerable populations in COVID era. Journal of Psychiatric Research. 2020;129:147-148. doi:10.1016/j.jpsychires.2020.07.011
  58. Yang T, Shen X, Yang Y, et al. Timeliness of information disclosure during the low transmission period of COVID-19: resident-level observational study in China. BMC Public Health. 2022;22(1):415. doi:10.1186/s12889-022-12804-x
  59. Li X, Liu Q. Social Media Use, eHealth Literacy, Disease Knowledge, and Preventive Behaviors in the COVID-19 Pandemic: Cross-Sectional Study on Chinese Netizens. J Med Internet Res. 2020;22(10):e19684. doi:10.2196/19684
  60. Liu PL. COVID-19 information on social media and preventive behaviors: Managing the pandemic through personal responsibility. Soc Sci Med. 2021;277:113928. doi:10.1016/j.socscimed.2021.113928