| Literature DB >> 35439106 |
Li Ping Wong1,2, Haridah Alias1, Megat Mohamad Amirul Amzar Megat Hashim3, Hai Yen Lee4, Sazaly AbuBakar4,5, Ivy Chung6, Zhijan Hu2, Yulan Lin2.
Abstract
This study aims to assess COVID-19 vaccine acceptance among Muslims in Malaysia. A cross-sectional internet-based survey was to determine acceptance of COVID-19 vaccine. Other influential factors, namely socio-demographics, COVID-19 experience, self-perceived level of religiosity, support in immunization, COVID-19 immunization attitudes, and health fatalistic beliefs (measured using the Helpless Inevitability Subscale of the Religious Health Fatalism Questionnaire, RHFQ-HI) were investigated. The majority reported a definite intent to receive the COVID-19 vaccine (57.3%; 95% CI 55.0-59.6) followed by a probable intent (42.7%; 95% CI 40.4-45.0%). COVID-19 immunization attitudes measured by attitudinal barriers to vaccination scores were found to be the strongest influence of COVID-19 vaccination intent, whereby participants who have lower attitudinal barrier scores reported higher COVID-19 vaccination intent (OR = 6.75 ; 95% 5.20-8.75). Although religious health fatalism was not significantly associated with vaccination intent, a significantly higher proportion of participants with score 4-9 (61.9%) in the RHFQ-HI reported intent to receive COVID-19 vaccine than those with a score of 10-20 (53.5%), p < .001. Intervention for people with skeptical attitudes toward COVID-19 vaccination is warranted.Entities:
Keywords: COVID-19; Muslim; vaccine; vaccine acceptance; vaccine hesitancy
Mesh:
Substances:
Year: 2022 PMID: 35439106 PMCID: PMC9196781 DOI: 10.1080/21645515.2022.2045855
Source DB: PubMed Journal: Hum Vaccin Immunother ISSN: 2164-5515 Impact factor: 4.526
Comparison of demographic characteristics of the study population and the general adults population in Malaysia, 2019
| Characteristics | n | % Study population, n=1856 | % Total population, |
|---|---|---|---|
| Age group (years) | |||
| 18-29 | 431 | 23.2 | 38.0 |
| 30-39 | 636 | 34.3 | 22.0 |
| 40-49 | 343 | 18.5 | 15.3 |
| ≥50 | 446 | 24.0 | 24.7 |
| Gender | |||
| Male | 704 | 37.9 | 51.6 |
| Female | 1152 | 62.1 | 41.4 |
| Average monthly household income (MYR) (Income category grop) †¶ | |||
| Below MYR4850 (B40) | 928 | 50.1 | 16.0 |
| MYR4850– 10,959 (M40) | 580 | 31.3 | 37.2 |
| MYR 19,060 and above (T20) | 347 | 18.7 | 46.8 |
| Region‡ | |||
| Northern | 504 | 27.2 | 20.9 |
| Central | 192 | 10.3 | 29.7 |
| East coast | 207 | 11.2 | 13.8 |
| Southern | 799 | 43.0 | 14.5 |
| Borneo | 154 | 8.3 | 21.1 |
a*Total number of adults 18 to 79 years of age as of December 31, 2019 [23].
†Three category of income groups: Top 20% (T20), Middle 40% (M40), and Bottom 40% (B40) in Malaysia [23].
1 MYR = .2 USD.
‡Northern region (Perlis, Kedah, Perak,Penang); Central (Wilayah Persekutuan Kuala Lumpur, Selangor, Negeri Sembilan, Putrajaya); East coast (Terengganu, Kelantan, Pahang); Southern (Melaka, Johor); Borneo (Sabah, Sarawak, Labuan.
Demographic characteristics of participants and factors associated with COVID −19 vaccination intent (N = 1856)
| | | Univariable analysis | Multivariable analysis | ||
|---|---|---|---|---|---|
| | | COVID-19 vaccination intent | Definitely yes vs. | ||
| N(%) | Definitely yes | Probably yes/Probably not/Definitely not | p-value | OR (95%CI) | |
| Age group (years) | |||||
| 18-30 | 507 (27.3) | 301 (59.4) | 206 (40.6) | 1.50 (1.03–2.20)* | |
| 31-40 | 603 (32.5) | 374 (62.0) | 229 (38.0) | 0.002 | 1.11 (.82–1.51) |
| 41-50 | 342 (18.4) | 181 (52.9) | 161 (47.1) | 0.97 (.70–1.35) | |
| >50 | 404 (21.8) | 208 (51.5) | 196 (48.5) | Ref | |
| Gender | |||||
| Male | 704 (37.9) | 401 (57.0) | 303 (43.0) | 0.809 | |
| Female | 1152 (62.1) | 663 (57.6) | 489 (42.4) | ||
| Marital status | |||||
| Never married | 494 (26.6) | 269 (54.5) | 225 (45.5) | ||
| Ever married | 1362 (73.4) | 795 (58.4) | 567 (41.6) | 0.137 | |
| Occupation type | |||||
| Professional and managerial | 1042 (56.1) | 646 (62.0) | 396 (38.0) | 1.10 (.80–1.51) | |
| Skilled worker/Unskilled worker | 282 (15.2) | 156 (55.3) | 126 (44.7) | 1.04 (.71–1.52) | |
| Student | 217 (11.7) | 105 (48.4) | 112 (51.6) | p < .001 | 0.76 (.47–1.23) |
| Retired/Housewife/Unemployed | 315 (17.0) | 157 (49.8) | 158 (50.2) | Ref | |
| Average monthly household income (MYR) | |||||
| 2000 and below | 311 (16.8) | 138 (44.4) | 173 (55.6) | Ref | |
| 2001–4000 | 402 (21.7) | 228 (56.7) | 174 (43.3) | p < .001 | 1.40 (.97–2.01) |
| 4001–8000 | 608 (32.8) | 374 (61.5) | 234 (38.5) | 1.90 (1.33–2.72)*** | |
| 8001 and above | 535 (28.8) | 324 (60.6) | 211 (39.4) | 1.68 (1.14–2.45)** | |
| Region‡ | |||||
| Northern | 504 (27.2) | 305 (60.5) | 199 (39.5) | ||
| Central | 192 (10.3) | 117 (60.9) | 75 (39.1) | ||
| East coast | 207 (11.2) | 110 (53.1) | 97 (46.9) | 0.180 | |
| Southern | 799 (43.0) | 451 (56.4) | 348 (43.6) | ||
| Borneo | 154 (8.3) | 81 (52.6) | 73 (47.4) | ||
| Not religious/Slightly/Moderately religious | 627 (33.8) | 347 (55.3) | 280 (44.7) | 0.234 | |
| Very religious | 1229 (66.2) | 717 (58.3) | 512 (41.7) | ||
| Vaccine-hesitant/anti-vaxxer | 222 (12.0) | 59 (26.6) | 163 (73.4) | p < .001 | Ref |
| Pro vaccine | 1534 (88.0) | 1005 (61.5) | 629 (38.5) | 2.76 (1.97–3.87)*** | |
| Yes | 629 (33.9) | 361 (57.4) | 268 (42.6) | 1.000 | |
| No | 1227 (66.1) | 703 (57.3) | 524 (42.7) | ||
| Total attitudinal barriers score | |||||
| Score 4-8 | 618 (33.3) | 529 (85.6) | 89 (14.4) | p < .001 | 6.75 (5.20–8.75)*** |
| Score 9-16 | 1238 (66.7) | 535 (43.2) | 703 (56.8) | Ref | |
| Total RHFQ-HI score | |||||
| Score 4-9 | 852 (45.9) | 527 (61.9) | 325 (38.1) | p < .001 | 0.94 (.76–1.16) |
| Score 10-20 | 1004 (54.1) | 537 (53.5) | 467 (46.5) | Ref | |
Notes: *p < .05**p < .01, ***p < .001.
Notes: Hosmer–Lemeshow test, chi-square: 4.885, p-value: .770; Nagelkerke R2 : .261.
Notes: ‡Northern region (Perlis, Kedah, Perak, Penang); Central (Wilayah Persekutuan Kuala Lumpur, Selangor, Negeri Sembilan, Putrajaya); East coast (Terengganu, Kelantan, Pahang); Southern (Melaka, Johor); Borneo (Sabah, Sarawak, Labuan.
Figure 1.Attitudinal barriers to COVID-19 vaccination (N = 1856).
Figure 2.Proportion strongly agree/agree Religious Health Fatalism Questionnaire (RHFQ-HI) items (N = 1856).