| Literature DB >> 35648441 |
Li Ping Wong1,2, Haridah Alias1, Yan-Li Siaw3, Mustakiza Muslimin4, Lee Lee Lai5, Yulan Lin2, Zhijian Hu2.
Abstract
This study aims to provide evidence of hesitancy in receiving the COVID-19 booster vaccine and associated factors in the vaccinated population that have completed a primary vaccination series. An anonymous web-based survey was disseminated to Malaysian adults aged ≥18 years via social media platforms. A total of 1010 responses were collected, of which 43.0% (95%CI 39.9-46.0) declared a definite willingness to receive a COVID-19 vaccine booster, 38.2% (95%CI 35.2-44.3) reported being somewhat willing and only 5.7% (95%CI 4.5-7.4) reported being definitely unwilling. Demographically younger participants, those of higher income, Chinese ethnicity and those from the central region reported significantly higher odds of a definite willingness to receive the COVID-19 vaccine booster compared to the reference group (somewhat willing/undecided/somewhat unwilling/definitely unwilling). Having no side effects with past COVID-19 vaccination was associated with a significantly higher odds of definite willingness (OR = 2.82, 95% CI 1.33-5.99). A lower (range 6-22) pandemic fatigue score (OR = 2.34, 95% CI 1.75-3.22) and higher (range 24-30) preventive practices score (OR = 2.45, 95% CI 1.80-3.34) were also associated with higher odds of definite willingness. Regarding attitudes toward COVID-19 booster vaccine, having fewer concerns about the side effects of booster vaccination and the uncertain long-term safety of multiple COVID-19 vaccinations were found to create greater odds of a definite willingness to receive the COVID-19 vaccine booster. Findings from this study provided insights into demographic characteristics and important behavioral and attitudinal factors associated with COVID-19 vaccine booster hesitancy.Entities:
Keywords: COVID-19 vaccine booster acceptance; Malaysia; pandemic fatigue; side effects; vaccine hesitancy
Mesh:
Substances:
Year: 2022 PMID: 35648441 PMCID: PMC9481074 DOI: 10.1080/21645515.2022.2078634
Source DB: PubMed Journal: Hum Vaccin Immunother ISSN: 2164-5515 Impact factor: 4.526
Factors associated with the willingness to receive COVID-19 vaccine booster dose (N = 1010).
| Univariable analysis | Multivariable analysis | ||||
|---|---|---|---|---|---|
| Willingness to receive COVID-19 vaccine booster dose | Willingness to receive COVID-19 vaccine booster dose | ||||
| Factors | N (%) | Definitely willing | Somewhat willing/Undecided/Somewhat unwilling/Definitely unwilling | Definitely willing | |
| Age group (years) | |||||
| 18-24 | 322 (31.9) | 152 (47.2) | 170 (52.8) | .007 | 2.55 (1.13–5.75)* |
| 25-34 | 324 (32.1) | 147 (45.4) | 177 (54.6) | 1.13 (0.54–2.37) | |
| 35-44 | 214 (21.2) | 70 (32.7) | 144 (67.3) | 0.50 (0.24–1.03) | |
| 45-54 | 90 (8.9) | 35 (38.9) | 55 (61.1) | 0.58 (0.26–1.29) | |
| 55-78 | 60 (5.9) | 30 (50.0) | 30 (50.0) | Reference | |
| Gender | |||||
| Male | 367 (36.3) | 152 (41.4) | 215 (58.6) | .468 | |
| Female | 643 (63.7) | 282 (43.9) | 361 (56.1) | ||
| Ethnicity | |||||
| Malay | 444 (44.0) | 190 (42.8) | 254 (57.2) | .001 | 2.85 (1.42–5.72)** |
| Chinese | 223 (22.1) | 116 (52.0) | 107 (48.0) | 3.42 (1.67–7.00)** | |
| Indian | 260 (25.7) | 106 (40.8) | 154 (59.2) | 2.53 (1.24–5.17)* | |
| Bumiputera Sabah/Sarawak | 21 (2.1) | 7 (33.3) | 14 (66.7) | 2.35 (0.57–9.61) | |
| Others | 62 (6.1) | 15 (24.2) | 47 (75.8) | Reference | |
| Religion | |||||
| Muslim | 461 (45.6) | 198 (43.0) | 263 (57.0) | .430 | |
| Buddhist | 155 (15.3) | 74 (47.7) | 81 (52.3) | ||
| Hindu | 231 (22.9) | 97 (42.0) | 134 (58.0) | ||
| Christian | 103 (10.2) | 45 (43.7) | 58 (56.3) | ||
| Others | 60 (5.9) | 20 (33.3) | 40 (66.7) | ||
| Marital status | |||||
| Never married | 588 (58.2) | 271 (46.1) | 317 (53.9) | .020 | 1.15 (0.75–1.78) |
| Ever married | 422 (41.8) | 163 (38.6) | 259 (61.4) | Reference | |
| Occupation category | |||||
| Professional and managerial | 383 (37.9) | 154 (40.2) | 229 (59.8) | .490 | |
| General worker | 138 (13.7) | 56 (40.6) | 82 (59.4) | ||
| Self-employed | 60 (5.9) | 26 (43.3) | 34 (56.7) | ||
| Student | 315 (31.2) | 147 (46.7) | 168 (53.3) | ||
| Housewife/Retired/Unemployed | 114 (11.3) | 51 (44.7) | 63 (55.3) | ||
| Average monthly household income (MYR) † | |||||
| 1000 and below | 223 (22.1) | 71 (31.8) | 152 (68.2) | Reference | |
| 1001–5000 | 407 (40.3) | 181 (44.5) | 226 (55.5) | 3.14 (1.97–5.01)*** | |
| 5001–10,000 | 292 (28.9) | 133 (45.5) | 159 (54.5) | 4.14 (2.47–6.93)*** | |
| More than 10000 | 88 (8.7) | 49 (55.7) | 39 (44.3) | 6.34 (3.24–12.40)*** | |
| Living area | |||||
| Urban/Suburban | 941 (93.2) | 408 (43.4) | 533 (56.6) | .380 | |
| Rural | 69 (6.8) | 26 (37.7) | 43 (62.3) | ||
| Region | |||||
| Northern | 89 (8.8) | 27 (30.3) | 62 (69.7) | .030 | Reference |
| Central | 702 (69.5) | 322 (45.9) | 380 (54.1) | 1.98 (1.14–3.46)* | |
| Southern | 97 (9.6) | 39 (40.2) | 58 (59.8) | 1.55 (0.77–3.10) | |
| East coast | 88 (8.7) | 31 (35.2) | 57 (64.8) | 0.77 (0.37–1.61) | |
| Borneo | 34 (3.4) | 15 (44.1) | 19 (55.9) | 2.15 (0.70–6.58) | |
| Ever diagnosed with chronic diseases | |||||
| Yes | 93 (9.2) | 38 (40.9) | 55 (59.1) | .742 | |
| No | 917 (90.8) | 396 (43.2) | 521 (56.8) | ||
| Ever infected with COVID-19 | |||||
| Yes | 145 (14.4) | 73 (50.3) | 72 (49.7) | .057 | |
| No | 865 (85.6) | 361 (41.7) | 504 (58.3) | ||
| Severity of side effects after vaccination | |||||
| None (0) | 49 (4.9) | 35 (71.4) | 14 (28.6) | 2.82 (1.33–5.99)** | |
| Mild to moderate (1–5) | 491 (48.6) | 220 (44.8) | 271 (55.2) | 1.23 (0.90–1.67) | |
| Moderate to severe (6–10) | 470 (46.5) | 179 (38.1) | 291 (61.9) | Reference | |
| Pandemic fatigue score | |||||
| 6-22 | 519 (51.4) | 289 (55.7) | 230 (44.3) | 2.34 (1.75–3.22)*** | |
| 23-42 | 491 (48.6) | 145 (29.5) | 346 (70.5) | Reference | |
| Preventive practices score | |||||
| 0-23 | 552 (54.7) | 186 (33.7) | 366 (66.3) | Reference | |
| 24-30 | 458 (45.3) | 248 (54.1) | 210 (45.9) | 2.45 (1.80–3.34)*** | |
| I fear side effects following a booster vaccination | |||||
| Strongly agree/Agree | 359 (35.5) | 87 (24.2) | 272 (75.8) | Reference | |
| Disagree/Strongly disagree | 651 (64.5) | 347 (53.3) | 304 (46.7) | 1.87 (1.12–3.14)* | |
| I fear of severe side effects that need medical attention following a booster vaccination | |||||
| Strongly agree/Agree | 336 (33.3) | 77 (22.9) | 259 (77.1) | Reference | |
| Disagree/Strongly disagree | 674 (66.7) | 357 (53.0) | 317 (47.0) | 1.87 (1.09–3.21)* | |
| I fear unknown long-term side effects over multiple COVID-19 vaccinations | |||||
| Strongly agree/Agree | 511 (50.6) | 166 (32.5) | 345(67.5) | Reference | |
| Disagree/Strongly disagree | 499 (49.4) | 268 (53.7) | 231 (46.3) | 1.41 (0.96–2.05) | |
Hosmer–Lemeshow test, chi-square: 13.389, p-value: .099; Nagelkerke R2 : 0.331.
*p < .05**p < .01, ***p < .001.
†1 MYR= 0.2 USD
Figure 1.Proportion of level of agreement for pandemic fatigue items.
Figure 2.Proportion of ‘most of the time’ response for practices of recommended measures against COVID-19 infection.
Figure 3.Willingness to receive COVID-19 vaccine booster dose.