Factors Associated with COVID-19 Vaccine Hesitancy
Abstract
:1. Introduction
2. Methods
2.1. Study Design
2.2. Outcome
2.3. Independent Variables
2.4. Statistical Analysis
3. Results
3.1. Determinants of Vaccine Hesitancy: Contextual Influences
3.2. Determinants of Vaccine Hesitancy: Individual and Group Influences
3.3. Determinants of Vaccine Hesitancy: COVID-19 Influences
3.4. Determinants of Vaccine Hesitancy: COVID-19 Vaccine Influences
4. Discussion
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Determinants of Vaccine Hesitancy | Variables |
---|---|
Contextual influences | Gender |
Age | |
Education | |
Monthly household income | |
Partial or total income loss during the pandemic | |
Occupation | |
Individual and group influences | Intention to take the flu vaccine |
Perception of the health status | |
Number of comorbidities | |
Self-reported diabetes | |
Self-reported respiratory disease | |
Self-reported autoimmune disease | |
Having school-age children | |
COVID-19 disease-specific | Confidence in the capacity of health services to respond to the pandemic |
View on the information provided by health authorities | |
Perception of the adequacy of measures implemented by the government | |
Self-perceived risk to get COVID-19 infection | |
Self-perceived risk to develop severe disease following COVID-19 infection | |
Frequency of agitation, sadness, or anxiety due to the physical distancing measures | |
COVID-19 vaccine-specific | Confidence in the efficacy and safety of COVID-19 vaccines being developed |
Period of the questionnaire |
Yes (n = 686) | Wait (n = 1079) | No (n = 178) | |
---|---|---|---|
Contextual influences | |||
Gender (n = 1935) | |||
Male | 220 (32.3%) | 274 (25.5%) | 65 (36.5%) |
Female | 462 (67.7%) | 801 (74.5%) | 113 (63.5%) |
Age (in years) (n = 1943) | |||
Mean (SD) | 47.7 (13.0) | 45.4 (12.1) | 44.9 (10.2) |
Education (n = 1939) | |||
No education/Basic education | 24 (3.50%) | 28 (2.60%) | 10 (5.62%) |
Secondary | 129 (18.8%) | 224 (20.8%) | 47 (26.4%) |
University | 533 (77.7%) | 823 (76.6%) | 121 (68.0%) |
Monthly household income (n = 1766) | |||
<650 € | 30 (4.73%) | 58 (5.88%) | 11 (7.59%) |
651–1000 € | 69 (10.9%) | 134 (13.6%) | 15 (10.3%) |
1001–1500 € | 136 (21.5%) | 225 (22.8%) | 37 (25.5%) |
1501–2000 € | 107 (16.9%) | 175 (17.7%) | 27 (18.6%) |
2001–2500 € | 85 (13.4%) | 163 (16.5%) | 25 (17.2%) |
>2501 € | 207 (32.6%) | 232 (23.5%) | 30 (20.7%) |
Lost of income due to the pandemic (n = 1913) | |||
No | 491 (72.4%) | 708 (66.7%) | 98 (56.3%) |
Partial/Total | 187 (27.6%) | 353 (33.3%) | 76 (43.7%) |
Occupation (n = 1943) | |||
Worker | 519 (75.7%) | 865 (80.2%) | 145 (81.5%) |
Student | 40 (5.83%) | 51 (4.73%) | 8 (4.49%) |
Retired | 27 (3.94%) | 48 (4.45%) | 8 (4.49%) |
Unemployed | 73 (10.6%) | 63 (5.84%) | 3 (1.69%) |
Other | 27 (3.94%) | 52 (4.82%) | 14 (7.87%) |
Individual and group influences | |||
Intention of taking the flu vaccine this year (n = 1924) | |||
Yes, I take the flu vaccine every year | 272 (40.1%) | 255 (23.9%) | 9 (5.06%) |
Yes, I will take the flu vaccine this year | 136 (20.0%) | 201 (18.8%) | 5 (2.81%) |
No | 271 (39.9%) | 611 (57.3%) | 164 (92.1%) |
Perception of the health status (n = 1941) | |||
Very good/Good | 393 (57.3%) | 642 (59.6%) | 127 (71.8%) |
Reasonable | 263 (38.3%) | 408 (37.8%) | 48 (27.1%) |
Bad/Very bad | 30 (4.37%) | 28 (2.60%) | 2 (1.13%) |
Respiratory disease (n = 1893) | |||
No | 571 (85.1%) | 872 (83.0%) | 145 (84.8%) |
Yes | 100 (14.9%) | 179 (17.0%) | 26 (15.2%) |
Autoimmune disease (n = 1893) | |||
No | 593 (88.4%) | 945 (89.9%) | 164 (95.9%) |
Yes | 78 (11.6%) | 106 (10.1%) | 7 (4.09%) |
Number of comorbidities (n = 1893) | |||
0 | 350 (52.2%) | 587 (55.9%) | 120 (70.2%) |
1 | 218 (32.5%) | 317 (30.2%) | 43 (25.1%) |
≥2 | 103 (15.4%) | 147 (14.0%) | 8 (4.68%) |
Have school-age children (n = 1937) | |||
No | 409 (59.7%) | 633 (58.8%) | 76 (43.2%) |
Yes | 276 (40.3%) | 443 (41.2%) | 100 (56.8%) |
COVID-19 influences | |||
Confidence in the capacity of health services to respond to the pandemic (n = 1926) | |||
Very confident | 64 (9.38%) | 70 (6.52%) | 17 (9.94%) |
Confident | 420 (61.6%) | 609 (56.8%) | 53 (31.0%) |
Not very confident | 174 (25.5%) | 347 (32.3%) | 46 (26.9%) |
Not confident | 24 (3.52%) | 47 (4.38%) | 55 (32.2%) |
View on the information provided by health authorities (n = 1401) | |||
Clear and understandable | 334 (61.9%) | 417 (53.4%) | 18 (22.5%) |
Unclear and confusing | 99 (18.3%) | 153 (19.6%) | 12 (15.0%) |
Inconsistent and contradictory | 107 (19.8%) | 211 (27.0%) | 50 (62.5%) |
Perception of the adequacy of measures implemented by the government (n = 1907) | |||
Very adequate | 39 (5.77%) | 30 (2.84%) | 2 (1.14%) |
Adequate | 386 (57.1%) | 540 (51.2%) | 25 (14.2%) |
Not very adequate | 228 (33.7%) | 433 (41.0%) | 67 (38.1%) |
Not adequate | 23 (3.40%) | 52 (4.93%) | 82 (46.6%) |
Self-perceived risk to get COVID-19 infection (n = 1942) | |||
High | 133 (19.4%) | 234 (21.7%) | 42 (23.6%) |
Moderate | 392 (57.2%) | 582 (53.9%) | 67 (37.6%) |
Low/No risk | 132 (19.3%) | 215 (19.9%) | 66 (37.1%) |
Not sure | 28 (4.09%) | 48 (4.45%) | 3 (1.69%) |
Self-perceived risk to develop severe disease following COVID-19 infection (n = 1940) | |||
High | 156 (22.8%) | 184 (17.1%) | 13 (7.30%) |
Moderate | 242 (35.3%) | 382 (35.5%) | 33 (18.5%) |
Low/No risk | 229 (33.4%) | 390 (36.2%) | 126 (70.8%) |
Not sure | 58 (8.47%) | 121 (11.2%) | 6 (3.37%) |
Frequency of agitation, sadness, or anxiety due to the physical distancing measures (n = 1936) | |||
Never | 121 (17.6%) | 214 (19.9%) | 39 (22.3%) |
Some days | 1094 (56.5%) | 409 (59.6%) | 612 (56.9%) |
Almost every day | 319 (16.5%) | 110 (16.0%) | 175 (16.3%) |
Every day | 149 (7.70%) | 46 (6.71%) | 74 (6.88%) |
COVID-19 vaccine-related influences | |||
Confidence in the COVID-19 vaccines that are being developed (n = 1911) | |||
Very confident | 191 (28.0%) | 26 (2.47%) | 0 (0.00%) |
Confident | 424 (62.1%) | 453 (43.0%) | 12 (6.86%) |
Not very confident | 61 (8.93%) | 493 (46.8%) | 31 (17.7%) |
Not confident | 7 (1.02%) | 81 (7.69%) | 132 (75.4%) |
Time (n = 1943) | |||
Before | 414 (60.3%) | 463 (42.9%) | 43 (24.2%) |
After | 272 (39.7%) | 616 (57.1%) | 135 (75.8%) |
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Soares, P.; Rocha, J.V.; Moniz, M.; Gama, A.; Laires, P.A.; Pedro, A.R.; Dias, S.; Leite, A.; Nunes, C. Factors Associated with COVID-19 Vaccine Hesitancy. Vaccines 2021, 9, 300. https://doi.org/10.3390/vaccines9030300
Soares P, Rocha JV, Moniz M, Gama A, Laires PA, Pedro AR, Dias S, Leite A, Nunes C. Factors Associated with COVID-19 Vaccine Hesitancy. Vaccines. 2021; 9(3):300. https://doi.org/10.3390/vaccines9030300
Chicago/Turabian StyleSoares, Patricia, João Victor Rocha, Marta Moniz, Ana Gama, Pedro Almeida Laires, Ana Rita Pedro, Sónia Dias, Andreia Leite, and Carla Nunes. 2021. "Factors Associated with COVID-19 Vaccine Hesitancy" Vaccines 9, no. 3: 300. https://doi.org/10.3390/vaccines9030300
APA StyleSoares, P., Rocha, J. V., Moniz, M., Gama, A., Laires, P. A., Pedro, A. R., Dias, S., Leite, A., & Nunes, C. (2021). Factors Associated with COVID-19 Vaccine Hesitancy. Vaccines, 9(3), 300. https://doi.org/10.3390/vaccines9030300