| Literature DB >> 35148322 |
Yasmin Maor1,2, Shaked Caspi3.
Abstract
BACKGROUND: Vaccine hesitancy is increasing. We assessed attitudes toward influenza and COVID-19 vaccines and the relation between hesitancy to influenza vaccine and hesitancy towards COVID-19 vaccines.Entities:
Mesh:
Substances:
Year: 2022 PMID: 35148322 PMCID: PMC8836312 DOI: 10.1371/journal.pone.0255495
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Characteristics of people responding to the questionnaire.
| All responders N = 2,024 | Responders < 65 years N = 1,313 (64.9%) | Responders ≥ 65 years N = 711 (35.1%) | |
|---|---|---|---|
|
| 49.12 (19.49) | 37.5 (13.82) | 70.54 (4.57) |
|
| 99 (4.9) | 99 (7.5) | - |
|
| 56 (2.8) | 56 (4.3) | - |
|
| 311 (15.4) | 311 (23.7) | - |
|
| 322 (15.9) | 322 (24.5) | - |
|
| 245 (12.1) | 245 (18.7) | - |
|
| 280 (13.8) | 280 (21.3) | - |
|
| 592 (29.2) | - | 592 (83.3) |
|
| 119 (5.9) | - | 119 (16.7) |
|
| 1,053 (52.0) | 675 (51.4) | 378 (53.2) |
|
| 1,169 (57.8) | 694 (52.9) | 475 (66.8) |
|
| 145 (7.2) | 138 (10.5) | 7 (1.0) |
|
| 1,104 (54.5) | 575 (43.8) | 529 (74.4) |
|
| 1,017 (50.2) | 616 (46.9) | 401 (56.4) |
|
| 887 (43.8) | 540 (41.1) | 347 (48.8) |
|
| 1,048 (51.8%) | 864 (65.8) | 184 (25.9) |
|
| 750 (37.0) | 294 (22.4) | 456 (64.0) |
|
| 234 (11.6) | 69 (5.3) | 165 (23.2) |
|
| 420 (20.8) | 121 (9.2) | 299 (42.1) |
|
| 304 (15.0%) | 152 (11.6) | 152 (21.4) |
|
| 121 (6.0) | 20 (1.5) | 101 (14.2) |
|
| 68 (3.4) | 41 (3.1) | 27 (3.8) |
|
| 46 (2.3) | 9 (0.7) | 37 (5.2) |
|
| 32 (1.6) | 27 (2.1) | 5 (0.7) |
|
| 387 (19.1) | 329 (25.1) | 58 (8.2) |
|
| 881 (43.5) | 648 (49.4) | 233 (32.8) |
Attitudes towards influenza, and COVID-19 vaccines.
| All responders N = 2,024 | Responders < 65 years N = 1,313 (64.9%) | Responders ≥ 65 years N = 711 (35.1%) | |
|---|---|---|---|
|
| 1334 (65.9) | 752 (57.3) | 582 (81.8) |
|
| 920 (45.5) | 411 (31.3) | 509 (71.6) |
|
| 1104 (54.5) | 902 (68.7) | 202 (28.4) |
|
| |||
|
| 299 (27.1) | 240 (26.6) | 59 (29.2) |
|
| 323 (29.3) | 256 (28.4) | 67 (33.2) |
|
| 126 (11.4) | 107 (11.9) | 19 (9.4) |
|
| 136 (12.3) | 114 (12.6) | 22 (10.9) |
|
| 512 (25.3) | 374 (28.5) | 138 (19.4%) |
|
| 206 (10.2) | 108 (8.2) | 98 (13.8) |
|
| |||
|
| 1122 (55.4) | 626 (47.7) | 496 (69.8) |
|
| 1050 (51.9) | 504 (38.4) | 546 (76.8) |
|
| |||
|
| 1548 (76.4) | 949 (72.3) | 597 (84.0) |
|
| 543 (26.8) | 347 (26.4) | 196 (27.6) |
Fig 1Relation between age and willingness to receive influenza vaccine this coming fall (2020–2021) and COVID-19 vaccine when available.
Factors independently associated with plan to receive influenza vaccine this coming winter (2020–2021).
| N (%) | Univariate analysis, P value | Odds ratio | P value | 95% Confidence interval | |
|---|---|---|---|---|---|
|
| 547 (76.7) | <0.0001 | 2.591 | <0.001 | 1.958–3.429 |
|
| 532 (50.5) | 0.182 | |||
|
| 661 (56.5) | <0.0001 | |||
|
| 468 (44.7) | <0.0001 | |||
|
| 619 (54.1) | 0.017 | |||
|
| 654 (59.2) | <0.0001 | |||
|
| 178 (76.1) | <0.0001 | |||
|
| 311 (74.0) | <0.0001 | |||
|
| 202 (66.2) | <0.0001 | 1.441 | 0.046 | 1.007–2.062 |
|
| 92 (76.0) | <0.0001 | |||
|
| 38 (55.9) | 0.502 | |||
|
| 39 (84.8) | <0.0001 | 2.806 | 0.048 | 1.011–7.783 |
|
| 267 (43.2) | <0.0001 | |||
|
| 21 (65.6) | 0.121 | |||
|
| 826 (89.7) | <0.0001 | 26.113 | <0.0001 | 20.059–33.995 |
|
| 81 (39.3) | <0.0001 | 0.595 | 0.010 | 0.401–0.882 |
|
| 246 (48.0) | 0.041 | |||
|
| 0.208 | <0.001 |
*N (%) of responders who plan to receive influenza vaccine this coming winter (2020–2021).
Nagelkerke R square– 0.573. Constant (B0)—the intercept of the regression line with the y -axis. Candidate variables: work status, was isolated due to exposure to a COVID-19 case, was diagnosed with COVID-19, financial status was compromised due to the COVID-19 pandemic, received the influenza vaccine last winter (2019–2020), refused to receive at least one vaccine over the course of one’s lifetime, diabetes, obesity, hypertension, heart disease, lung disease, malignancy, female sex, family status, age ≥65, secular. To enter the multivariable analyses p was set at <0.1.
Factors independently associated with plans to receive COVID-19 vaccine when available.
| Univariate analysis, P value | Odds ratio | P value | 95% Confidence interval | ||
|---|---|---|---|---|---|
|
| 599 (84.0) | <0.0001 | |||
|
| 763 (72.4) | <0.0001 | 0.629 | <0.001 | 0.500–0.791 |
|
| 920 (78.6) | 0.140 | |||
|
| 771 (73.6) | <0.0001 | |||
|
| 893 (78.0) | 0.054 | |||
|
| 887 (80.3) | <0.0001 | 1.294 | 0.028 | 1.029–1.627 |
|
| 206 (88.0) | <0.0001 | |||
|
| 364 (86.7) | <0.0001 | |||
|
| 247 (81.0) | 0.042 | |||
|
| 105 (86.8) | 0.007 | |||
|
| 49 (72.1) | 0.391 | |||
|
| 41 (89.1) | 0.047 | |||
|
| 277 (71.6) | 0.013 | |||
|
| 23 (71.9) | 0.544 | |||
|
| 825 (89.6) | <0.0001 | |||
|
| 121 (58.7) | <0.0001 | 0.444 | <0.001 | 0.318–0.621 |
|
| 974 (92.7) | <0.0001 | 8.401 | <0.001 | 6.422–10.990 |
|
| 1.786 | <0.0001 |
*N (%) of responders who plan to receive COVID-19 vaccine when available.
Nagelkerke R square– 0.261. Constant (B0)—the intercept of the regression line with the y-axis. Candidate variables: was isolated due to exposure to a COVID-19 case, was diagnosed with COVID-19, financial status was compromised due to the COVID-19 pandemic, plans to receive influenza vaccine this winter (2020–2021), refused to receive at least one vaccine in the past, diabetes, obesity, hypertension, heart disease, lung disease, malignancy, female sex, family status, work status, age ≥65, secular. To enter the multivariable analyses p was set at <0.1.