| Literature DB >> 35016189 |
Dennis Koroma1, Maria I Pestalozzi1, Hansjörg Znoj1.
Abstract
INTRODUCTION: As Switzerland faced the "second wave" of COVID-19 incidences, a discussion of a potential vaccine against the virus emerged. While some individuals accept vaccines, others challenge or refuse to be vaccinated, a phenomena called vaccine hesitancy. Here, trust plays a vital role in vaccination intention. Embitterment not only goes along with the sense of being treated unjust but also innates a distrust in others. Thus, embitterment may influence individuals' vaccination intention against COVID-19. In the present study, we investigate how feelings of being socially excluded and the perceived negative impact of the pandemic are associated with embitterment and in turn, how embitterment is related to individuals' vaccination intention and the tendency to hold COVID-19-related conspiracy beliefs (CCBs). This is in regard of the perceived communication style by the government.Entities:
Keywords: Conspiracy theories; Coping; Embitterment; Social exclusion; Vaccination
Mesh:
Substances:
Year: 2022 PMID: 35016189 PMCID: PMC8805074 DOI: 10.1159/000521016
Source DB: PubMed Journal: Psychopathology ISSN: 0254-4962 Impact factor: 3.849
Fig. 1Structural representation of the hypothesized serial mediation model with 3 mediators (M1–3), the hypothetical paths (H1–H7), and corresponding indirect pathways (ax−dxx). The model has a proposed antecedent, X (perceived effects of COVID-19); 3 sequential mediators, M1 (perceived social exclusion due to COVID-19), M2 (embitterment), and M3 (tendency to hold COVID-19-related conspiracy beliefs); and 1 outcome variable, Y (vaccination intention). The arrows indicate the linear regression effect from one variable to the other.
Sample characteristics in number and relative distribution, group differences in embitterment, and vaccination intention
| Characteristic | Scores on embitterment | Scores on vaccination intention | |||
|---|---|---|---|---|---|
| χ2 diff | χ2 diff | ||||
| Gender | 1.31 | 0.10 | 0.10 | ||
| Female | 195 (70.1) | 2.31 (0.77) | 33.77 (34.9) | ||
| Male | 81 (29.1) | 2.37 (0.73) | 33.44 (38.4) | ||
| Nonbinary | 2 (0.7) | 3.14 (0.12) | 45.00 (63.6) | ||
| Level of education |
|
| |||
| Mandatory degree | 11 (4) | 2.57 (0.79) | 31.18 (32.76) | ||
| Vocational training | 75 (27) | 2.65 (0.78) | 19.17 (31.25) | ||
| Baccalaureate | 27 (9.7) | 2.14 (0.76) | 36.89 (37.67) | ||
| Higher vocational education | 38 (13.7) | 2.32 (0.70) | 30.92 (34.50) | ||
| Academic degree | 127 (45.7) | 2.18 (0.70) | 42.12 (36.47) | ||
| Civil status | 0.81† |
| |||
| Single | 110 (39.6) | 2.40 (0.82) | 35.82 (35.56) | ||
| In a relationship | 46 (16.5) | 2.19 (0.68) | 28.04 (35.26) | ||
| Married | 83 (29.9) | 2.31 (0.75) | 39.52 (37.42) | ||
| Divorced | 33 (11.9) | 2.42 (0.70) | 16.09 (28.61) | ||
| Widowed | 6 (2.2) | 2.30 (0.40) | 43.33 (36.47) | ||
| Employment status | 1.84 |
| |||
| In training | 27 (9.7) | 2.35 (0.86) | 50.15 (32.72) | ||
| Employed | 171 (61.7) | 2.29 (0.74) | 36.95 (36.49) | ||
| Self-employed | 36 (13.0) | 2.33 (0.76) | 19.64 (32.62) | ||
| Unemployed, looking for work | 15 (5.4) | 2.41 (0.86) | 25.13 (33.11) | ||
| Unemployed, on sick leave | 10 (3.6) | 2.83 (0.65) | 23.20 (32.36) | ||
| Unemployed, supported by social services | 4 (1.4) | 3.13 (0.57) | 0.00 (0.00) | ||
| Retired | 14 (5.1) | 2.08 (0.68) | 27.71 (37.32) | ||
| Social status (net income |
| 1.05 | |||
| Up to CHF 30,000 | 80 (31.3) | 2.53 (0.83) | 32.06 (37.22) | ||
| CHF 30–60,000 | 72 (28.1) | 2.35 (0.77) | 38.46 (34.90) | ||
| CHF 60–120,000 | 85 (33.2) | 2.13 (0.65) | 31.64 (34.62) | ||
| CHF 120–240,000 | 17 (6.6) | 2.17 (0.59) | 41.00 (39.11) | ||
| Over CHF 250,000 | 2 (0.8) | 1.53 (0.04) | 0 (0.00) | ||
| Country |
| 1.03 | |||
| Switzerland | 208 (75.6) | 2.30 (0.73) | 36.11 (36.04) | ||
| Germany | 45 (16.4) | 2.56 (0.81) | 31.62 (37.81) | ||
| Austria | 7 (2.5) | 3.00 (0.59) | 17.14 (36.99) | ||
| France | 3 (1.1) | 2.26 (0.78) | 6.00 (2.00) | ||
| USA | 4 (1.5) | 2.00 (0.77) | 20.75 (19.17) | ||
| Sweden | 5 (1.8) | 1.92 (0.87) | 15.40 (21.07) | ||
| Others | 4 (1.5) | 1.93 (1.13) | 29.75 (47.24) | ||
| Satisfaction with government's communication |
|
| |||
| Unsatisfied | 125 (45) | 2.51 (0.80) | 16.62 (29.08) | ||
| Neutral | 31 (11) | 2.18 (0.62) | 34.71 (35.99) | ||
| Satisfied | 123 (44) | 2.19 (0.70) | 50.80 (34.31) | ||
χ2 tests were calculated using Fisher's exact test and are marked bold when significant.
p ≥ 0.05
p < 0.05
p < 0.01
p < 0.001, two-tailed.
Higher school certificate.
Including people with disability pension.
1 CHF, equals 0.90 EUR.
Others include Spain (n = 1), Portugal (n = 1), UK (n = 1), and Belgium (n = 1).
Fig. 2Frequency distribution of the dependent variable vaccination intention. On the x-axis are the stated probabilities (in %) for each individual to be vaccinated with a freely available vaccine against COVID-19 in March 2021. On the y-axis is the number of individuals stating the probability.
Fig. 3Results of the moderated serial mediation model. Standardized effect sizes (betas) are marked in bold. Below, moderator levels of satisfaction in government's communication of the measures are: unsatisfied/average/satisfied. †p > 0.05, *p ≤ 0.05, **p < 0.01, ***p < 0.001. Bootstrap: 1,000 samples.