| Literature DB >> 35352982 |
Linda Yin-King Lee1, Kit-Ying Chu, Max Hin-Wa Chan1, Chloe Tsz-Ching Wong1, Heidi Po-Ying Leung1, Issac Chun-Wing Chan1, Crystal Kit-Ying Ng1, Rachel Yuen-Shan Wong1, Angel Lok-Ching Pun1, Yaki Hoi-Ying Ng1, Joe Ka-Chun Ng1.
Abstract
INTRODUCTION: Vaccination is vital for controlling the COVID-19 pandemic. Individuals' vaccination intention is a good predictor of vaccine uptake and is influenced by individuals' health belief toward vaccination. Regions with different levels of pandemic severity may present varying effects. This study aimed to determine the influence of health belief on COVID-19 vaccination intention in a region with a low level of COVID-19 infection.Entities:
Keywords: COVID-19; Hong Kong; health belief; health belief model; intention; vaccine
Mesh:
Substances:
Year: 2022 PMID: 35352982 PMCID: PMC8968439 DOI: 10.1177/00469580221082787
Source DB: PubMed Journal: Inquiry ISSN: 0046-9580 Impact factor: 1.730
Distribution of age and gender in the adult population and study sample.
| Age | Gender | Hong Kong population (n = 6 165 223) | Sample (n = 800) | ||
|---|---|---|---|---|---|
| Frequency | Percentage (%) | Frequency | Percentage (%) | ||
| 20–29 | Male | 448 018 | 7.3 | 58 | 7.3 |
| Female | 507 292 | 8.2 | 66 | 8.2 | |
| 30–39 | Male | 460 970 | 7.5 | 60 | 7.5 |
| Female | 687 555 | 11.2 | 90 | 11.2 | |
| 40–49 | Male | 474 874 | 7.7 | 62 | 7.8 |
| Female | 661 968 | 10.7 | 86 | 10.7 | |
| 50–59 | Male | 599 552 | 9.7 | 78 | 9.8 |
| Female | 666 562 | 10.8 | 86 | 10.7 | |
| 60–69 | Male | 440 629 | 7.1 | 57 | 7.1 |
| Female | 450 353 | 7.3 | 58 | 7.3 | |
| 70–79 | Male | 213 407 | 3.5 | 28 | 3.5 |
| Female | 213 794 | 3.5 | 28 | 3.5 | |
| 80+ | Male | 133 116 | 2.2 | 18 | 2.3 |
| Female | 207 133 | 3.3 | 25 | 3.1 | |
| Total | Male | 2 770 566 | 44.9 | 361 | 45.1 |
| Female | 3 394 657 | 55.1 | 439 | 54.9 | |
| Both genders | 6 165 223 | 100.0 | 800 | 100.0 | |
Sociodemographic and health characteristics (n = 800).
| Sociodemographic and health characteristic | Frequency (Percentage, %) | ||||
|---|---|---|---|---|---|
| All subjects (n = 800) | Subjects intend to receive a COVID-19 vaccine | ||||
| Yes (n = 231) | No (n = 569) | ||||
| 55.239 | <.001*** | ||||
| 20–29 | 125 (15.6) | 19 (8.2) | 106 (18.6) | ||
| 30–39 | 150 (18.58) | 24 (10.4) | 126 (22.1) | ||
| 40–49 | 148 (18.5) | 38 (16.35) | 110 (19.3) | ||
| 50–59 | 162 (20.3) | 59 (25.5) | 103 (18.1) | ||
| 60–69 | 115 (14.4) | 44 (19.0) | 71 (12.5) | ||
| 70–79 | 56 (7.0) | 21 (9.1) | 35 (6.5) | ||
| 80+ | 44 (5.5) | 26 (11.3) | 18 (3.2) | ||
| .007 | .931 | ||||
| Male | 360 (45.0) | 105 (45.5) | 255 (44.8) | ||
| Female | 440 (55.0) | 126 (54.5) | 314 (55.2) | ||
| 56.030 | <.001*** | ||||
| Below primary | 31 (3.9) | 11 (4.4) | 20 (3.5) | ||
| Primary | 119 (14.9) | 60 (26.0) | 59 (10.4) | ||
| Secondary | 287 (35.9) | 98 (42.4) | 189 (33.2) | ||
| Tertiary and above | 363 (45.4) | 62 (26.8) | 301 (52.9) | ||
| 12.307 | <.01** | ||||
| Single | 250 (31.3) | 61 (26.4) | 189 (33.2) | ||
| Married | 503 (62.9) | 151 (65.4) | 352 (61.9) | ||
| Divorced | 27 (3.4) | 7 (3.0) | 20 (3.5) | ||
| Widowed | 20 (2.5) | 12 (5.2) | 8 (1.4) | ||
| 2.244 | .326 | ||||
| Live alone | 55 (6.9) | 19 (8.2) | 36 (6.3) | ||
| Live with family members | 719 (86.5) | 201 (87) | 515 (90.5) | ||
| Live with others | 29 (3.6) | 11 (4.7) | 18 (3.2) | ||
| .202 | .653 | ||||
| No | 594 (74.3) | 169 (73.2) | 425 (74.7) | ||
| Yes | 206 (25.8) | 62 (26.8) | 144 (25.3) | ||
| 35.670 | <.001*** | ||||
| No | 499 (62.4) | 107 (46.3) | 392 (68.9) | ||
| Yes | 301 (37.6) | 124 (53.7) | 177 (31.1) | ||
aHigh risk group: adults >60 years old, adults with chronic disease, residents of elderly residential care home or residential care home for persons with disabilities, healthcare workers, or staff of residential care homes.
**P = .01, ***P = .001.
Health belief and intention to receive a COVID-19 vaccine (n = 800).
| Health belief | Mean (SD) | ||||
|---|---|---|---|---|---|
| All subjects (n = 800) | Subjects intend to receive a COVID-19 vaccine | ||||
| Yes (n = 231) | No (n = 569) | ||||
| Perceived susceptibility to COVID-19 | 11.8 (2.4) | 12.6 (3.1) | 10.5 (2.6) | −9.278 | <.001*** |
| Perceived severity of COVID-19 | 15.3 (2.2) | 15.6 (2.1) | 15.1 (2.4) | −2.815 | <.01** |
| Perceived benefits of COVID-19 vaccination | 12.4 (2.3) | 14.0 (2.3) | 11.0 (2.4) | −15.837 | <.001*** |
| Perceived barriers to COVID-19 vaccination | 18.8 (2.5) | 17.3 (2.9) | 20.6 (3.1) | 14.013 | <.001*** |
| Cues to action toward COVID-19 vaccination | 17.8 (2.8) | 19.0 (3.2) | 16.2 (2.5) | −11.757 | <.001*** |
**P = .05, ***P = .001.
Logistic regression analysis for predictors of intention to receive a COVID-19 vaccine (n = 800).
| Health belief | Regression coefficient | Standard error | Wald | Odds ratio | 95% Confidence interval | |
|---|---|---|---|---|---|---|
| Perceived susceptibility to COVID-19 | .122 | .046 | 6.932 | 1.130 | <.01** | 1.032–1.237 |
| Perceived severity of COVID-19 | .085 | .051 | 2.754 | 1.089 | .097 | .985–1.203 |
| Perceived benefits of COVID-19 vaccination | .479 | .057 | 69.896 | 1.615 | <.001*** | 1.443–1.807 |
| Perceived barriers to COVID-19 vaccination | −.362 | .042 | 74.513 | .696 | <.001*** | .641–.756 |
| Cues to action toward COVID-19 vaccination | .192 | .046 | 17.695 | 1.212 | <.001*** | 1.108–1.326 |
**P = .01, ***P = .001.