| Literature DB >> 35095091 |
Yoshihiko Hosokawa1, Sumiyo Okawa2, Ai Hori3, Naho Morisaki4, Yoko Takahashi4,5, Takeo Fujiwara6, Shoji F Nakayama7, Hiromi Hamada1, Toyomi Satoh1, Takahiro Tabuchi8.
Abstract
BACKGROUND: Reluctance of people to receive recommended vaccines is a growing concern, as distribution of vaccines is considered critical to ending the COVID-19 pandemic. There is little information regarding pregnant women's views toward coronavirus vaccination in Japan. Therefore, we investigated the vaccination rate and reasons for vaccination and vaccine hesitancy among pregnant women in Japan.Entities:
Keywords: COVID-19; pregnancy; vaccine; vaccine hesitancy
Mesh:
Substances:
Year: 2022 PMID: 35095091 PMCID: PMC8918615 DOI: 10.2188/jea.JE20210458
Source DB: PubMed Journal: J Epidemiol ISSN: 0917-5040 Impact factor: 3.211
Demographic and medical characteristics of pregnant women included in the analysis
| All pregnant | COVID-19 vaccine intention | ||||
|
| |||||
| Already | Want to be | Want to | Do not want | ||
| Response period (2021), | |||||
| 7/28–8/20 | 184 (11.4) | 17 (7.8) | 66 (11.4) | 78 (11.3) | 23 (16.9) |
| 8/21–8/24 | 987 (60.9) | 129 (59.4) | 355 (61.3) | 420 (61.0) | 83 (61.0) |
| 8/25–8/31 | 450 (27.8) | 71 (32.7) | 158 (27.3) | 191 (27.7) | 30 (22.1) |
| Maternal age at response, | |||||
| <25 years | 72 (4.4) | 4 (1.8) | 23 (4.0) | 39 (5.7) | 6 (4.4) |
| 25–29 years | 505 (31.2) | 61 (28.1) | 166 (28.7) | 230 (33.4) | 48 (35.3) |
| 30–34 years | 629 (38.8) | 94 (43.3) | 239 (41.3) | 240 (34.8) | 56 (41.2) |
| 35–39 years | 340 (21.0) | 54 (24.9) | 122 (21.1) | 143 (20.8) | 21 (15.4) |
| ≥40 years | 75 (4.6) | 4 (1.8) | 29 (5.0) | 37 (5.4) | 5 (3.7) |
| Nulliparity, | 868 (53.5) | 131 (60.4) | 274 (47.3) | 385 (55.9) | 78 (57.4) |
| Pre-pregnancy BMI, kg/m2, | |||||
| <18.5 | 326 (20.1) | 39 (18.0) | 111 (19.2) | 145 (21.0) | 31 (22.8) |
| 18.5–24.9 | 1,165 (71.9) | 162 (74.7) | 429 (74.1) | 479 (69.5) | 95 (69.9) |
| 25–29.9 | 102 (6.3) | 11 (5.1) | 31 (5.4) | 53 (7.7) | 7 (5.1) |
| ≥30 | 28 (1.7) | 5 (2.3) | 8 (1.4) | 12 (1.7) | 3 (2.2) |
| In vitro fertilization, | 195 (12.0) | 27 (12.4) | 64 (1.4) | 85 (12.3) | 19 (14.0) |
| Smoking, | |||||
| Never | 1,208 (74.5) | 158 (72.8) | 437 (75.5) | 515 (74.7) | 98 (72.1) |
| Former | 380 (23.4) | 54 (24.9) | 132 (22.8) | 162 (23.5) | 32 (23.5) |
| Current | 33 (2.0) | 5 (2.3) | 10 (1.7) | 12 (1.7) | 6 (4.4) |
| Alcohol drinking, | |||||
| Never | 365 (22.5) | 45 (20.7) | 117 (20.2) | 166 (24.1) | 37 (27.2) |
| Former | 1,194 (73.7) | 159 (73.3) | 438 (75.6) | 503 (73.0) | 94 (69.1) |
| Current | 62 (3.8) | 13 (6.0) | 24 (4.1) | 20 (2.9) | 5 (3.7) |
| Gestational age, | |||||
| <28 weeks | 356 (22.0) | 65 (30.0) | 119 (20.6) | 130 (18.9) | 42 (30.9) |
| 28–31 weeks | 285 (17.6) | 43 (19.8) | 97 (16.8) | 118 (17.1) | 27 (19.9) |
| 32–36 weeks | 468 (28.9) | 63 (29.0) | 156 (26.9) | 211 (30.6) | 38 (27.9) |
| ≥37 weeks | 512 (31.6) | 46 (21.2) | 207 (35.8) | 230 (33.4) | 29 (21.3) |
| Educational attainment ≥13 years, | 1,369 (84.5) | 200 (92.2) | 498 (86.0) | 558 (81.0) | 113 (83.1) |
| Married, | 1,590 (98.1) | 214 (98.6) | 574 (99.1) | 670 (97.2) | 132 (97.1) |
| Current or previous COVID-19, | 14 (0.9) | 2 (0.9) | 5 (0.9) | 5 (0.7) | 2 (1.5) |
| Maternal complications, | |||||
| Chronic hypertension | 45 (2.8) | 8 (3.7) | 14 (2.4) | 20 (2.9) | 3 (2.2) |
| Diabetes | 59 (3.6) | 8 (3.7) | 16 (2.8) | 28 (4.1) | 7 (5.1) |
| Asthma | 183 (11.3) | 21 (9.7) | 65 (11.2) | 77 (11.2) | 20 (14.7) |
| Thyroid disease | 92 (5.7) | 18 (8.3) | 25 (4.3) | 39 (5.7) | 10 (7.4) |
| Depression | 113 (7.0) | 22 (10.1) | 39 (6.7) | 45 (6.5) | 7 (5.1) |
| Chronic kidney disease | 9 (0.6) | 2 (0.9) | 1 (0.2) | 4 (0.6) | 2 (1.5) |
| Autoimmune disease | 19 (1.2) | 2 (0.9) | 4 (0.7) | 8 (1.2) | 5 (3.7) |
| Homeowner, | 646 (39.9) | 70 (32.3) | 250 (43.2) | 270 (39.2) | 56 (41.2) |
| Household income per year, | |||||
| <5 million JPY | 358 (22.1) | 40 (18.4) | 115 (19.9) | 167 (24.2) | 36 (26.5) |
| 5 to <8 million JPY | 491 (30.3) | 43 (19.8) | 183 (31.6) | 226 (32.8) | 39 (28.7) |
| ≥8 million JPY | 666 (41.1) | 121 (55.8) | 243 (42.0) | 252 (36.6) | 50 (36.8) |
| Declined to answer or do not know | 106 (6.5) | 13 (6.0) | 38 (6.6) | 44 (6.4) | 11 (8.1) |
| Occupational status, | |||||
| Working | 578 (35.7) | 82 (37.8) | 245 (42.3) | 259 (37.6) | 40 (29.4) |
| Not working with maternity leave | 417 (25.7) | 91 (41.9) | 123 (21.2) | 163 (23.7) | 40 (29.4) |
| Not working without maternity leave | 626 (38.6) | 44 (20.3) | 211 (36.4) | 267 (38.8) | 56 (41.2) |
| Work type, | |||||
| Desk work | 711 (43.9) | 115 (53.0) | 264 (45.6) | 284 (41.2) | 48 (35.3) |
| Interpersonal | 676 (41.7) | 117 (53.9) | 215 (37.1) | 295 (42.8) | 49 (36.0) |
| Physical work | 340 (21.0) | 52 (24.0) | 110 (19.0) | 153 (22.2) | 25 (18.4) |
| Fear of COVID-19 scale, mean (SD) | 20.0 (5.2) | 19.8 (4.8) | 20.2 (5.0) | 20.3 (5.1) | 18.3 (6.3) |
| Mistrust in the government, | 1,355 (83.6) | 170 (78.3) | 470 (81.2) | 591 (85.8) | 124 (91.2) |
| Local state of emergency, | |||||
| None | 264 (16.3) | 22 (10.1) | 87 (15.0) | 132 (19.2) | 23 (16.9) |
| Semi-emergency | 417 (25.7) | 60 (27.6) | 157 (27.1) | 164 (23.8) | 36 (26.5) |
| Emergency | 940 (58.0) | 135 (62.2) | 335 (57.9) | 393 (57.0) | 77 (56.6) |
| Total days of emergency declared until response date, median (range) | 5 (0–100) | 8 (0–94) | 5 (0–90) | 4 (0–100) | 4 (0–94) |
|
| |||||
| COVID-19 vaccine intention, | |||||
| Already vaccinated | 217 (13.4) | ||||
| Want to be vaccinated | 579 (35.7) | ||||
| Want to “wait and see” before getting vaccinated | 689 (42.5) | ||||
| Do not want to be vaccinated | 136 (8.4) | ||||
BMI, body mass index; COVID-19, coronavirus disease 2019; JPY, Japanese yen; SD, standard deviation.
Figure 1. The reasons for COVID-19 vaccine hesitancy reported by pregnant women
There were 689 participants who responded to the survey with the statement “I want to ‘wait and see’ before getting the vaccine.” The reasons participants gave for their vaccine hesitancy are listed in order of frequency. Participants could choose more than one reason; therefore, the total number of responses exceeded 100%.
Factors associated with vaccine hesitancy among all pregnant women in this study
| Acceptance | Hesitant | aPR | 95% CI | ||||
| Response period (2021) |
| % |
| % | |||
| 7/28–8/20 | 83 | 45.1% | 101 | 54.9% | 0.417 | 1.00 | |
| 8/21–8/24 | 484 | 49.0% | 503 | 51.0% | 0.99 | (0.79–1.25) | |
| 8/25–8/31 | 229 | 50.9% | 221 | 49.1% | 0.96 | (0.74–1.23) | |
| Gestational age | |||||||
| <28 weeks | 184 | 51.7% | 172 | 48.3% | 0.579 | 1.00 | |
| 28–31 weeks | 140 | 49.1% | 145 | 50.9% | 0.97 | (0.81–1.17) | |
| 32–36 weeks | 219 | 46.8% | 249 | 53.2% | 0.91 | (0.73–1.15) | |
| ≥37 weeks | 253 | 49.4% | 259 | 50.6% | 0.89 | (0.70–1.13) | |
| Maternal age | |||||||
| <25 years | 27 | 37.5% | 45 | 62.5% | 0.012 | 1.20 | (0.86–1.67) |
| 25–29 years | 227 | 45.0% | 278 | 55.0% | 1.15 | (0.98–1.36) | |
| 30–34 years | 333 | 52.9% | 296 | 47.1% | 1.00 | ||
| 35–39 years | 176 | 51.8% | 164 | 48.2% | 1.01 | (0.83–1.23) | |
| ≥40 years | 33 | 44.0% | 42 | 56.0% | 1.13 | (0.81–1.57) | |
| Pre-pregnancy BMI, kg/m2 | |||||||
| <18.5 | 150 | 46.0% | 176 | 54.0% | 0.163 | 1.05 | (0.89–1.25) |
| 18.5–24.9 | 591 | 50.7% | 574 | 49.3% | 1.00 | ||
| 25–29.9 | 42 | 41.2% | 60 | 58.8% | 1.16 | (0.88–1.51) | |
| ≥30 | 13 | 46.4% | 15 | 53.6% | 1.08 | (0.64–1.81) | |
| Parity | |||||||
| Nulliparous | 405 | 46.7% | 463 | 53.3% | 0.034 | 1.12 | (0.90–1.40) |
| Multiparous | 391 | 51.9% | 362 | 48.1% | 1.00 | ||
| Use of in vitro fertilization | |||||||
| Yes | 91 | 46.7% | 53.3 | 53.3% | 0.468 | 1.12 | (0.90–1.40) |
| No | 91 | 49.4% | 721 | 50.6% | 1.00 | ||
| Marital status | |||||||
| Married | 788 | 49.6% | 802 | 50.4% | 0.009 | 0.76 | (0.49–1.17) |
| Other | 8 | 25.8% | 23 | 74.2% | 1.00 | ||
| Alcohol consumption status | |||||||
| Never | 162 | 44.4% | 203 | 55.6% | 0.041 | 1.00 | |
| Former | 597 | 50.0% | 597 | 50.0% | 0.76 | (0.51–1.13) | |
| Current | 37 | 59.7% | 25 | 40.3% | 0.87 | (0.33–2.28) | |
| Active smoking status | |||||||
| Never | 595 | 49.3% | 613 | 50.7% | 0.909 | 1.00 | |
| Former | 186 | 48.9% | 194 | 51.1% | 0.99 | (0.83–1.17) | |
| Current | 15 | 45.5% | 18 | 54.5% | 1.01 | (0.63–1.64) | |
| Daily passive smoking | |||||||
| Yes | 79 | 46.5% | 91 | 53.5% | 0.468 | 1.07 | (0.85–1.34) |
| No | 717 | 49.4% | 734 | 50.6% | 1.00 | ||
| Maternal medical complicationsa | |||||||
| Yes | 155 | 45.6% | 185 | 54.4% | 0.144 | 1.06 | (0.90–1.25) |
| No | 641 | 50.0% | 640 | 50.0% | 1.00 | ||
| Educational attainment | |||||||
| ≥13 years | 698 | 51.0% | 671 | 49.0% | <0.001 | 0.87 | (0.72–1.05) |
| <13 years | 98 | 38.9% | 154 | 61.1% | 1.00 | ||
| Household income per year | |||||||
| <5 million JPY | 226 | 46.0% | 265 | 54.0% | 0.002 | 1.00 | (0.83–1.20) |
| 5 to <8 million JPY | 155 | 43.3% | 203 | 56.7% | 1.00 | ||
| ≥8 million JPY | 364 | 54.7% | 302 | 45.3% | 0.89 | (0.75–1.05) | |
| Declined to answer or do not know | 51 | 48.1% | 55 | 51.9% | 1.00 | (0.74–1.34) | |
| Occupational status | |||||||
| Working | 327 | 52.2% | 299 | 47.8% | 0.011 | 0.87 | (0.74–1.04) |
| Not working with maternal leave | 214 | 51.3% | 203 | 48.7% | 0.93 | (0.76–1.13) | |
| Not working without maternal leave | 255 | 44.1% | 323 | 55.9% | 1.00 | ||
| Local state of emergency | |||||||
| None | 109 | 41.3% | 155 | 58.7% | 0.017 | 1.00 | |
| Semi-emergency | 217 | 52.0% | 200 | 48.0% | 0.83 | (0.67–1.04) | |
| Emergency | 470 | 50.0% | 470 | 50.0% | 0.90 | (0.74–1.09) | |
| Trust in the government | |||||||
| Yes | 156 | 58.6% | 110 | 41.4% | 0.001 | 1.00 | |
| No | 640 | 47.2% | 715 | 52.8% | 1.26 | (1.03–1.54) | |
| Current or previous COVID-19 | |||||||
| Yes | 7 | 50.0% | 7 | 50.0% | 0.946 | 1.04 | (0.48–2.22) |
| No | 789 | 49.1% | 818 | 50.9% | 1.00 | ||
| Fear of COVID-19 scale (continuous) | 0.99 | (0.98–1.01) | |||||
aPR, adjusted prevalence ratio; BMI, body mass index; CI, confidence interval; COVID-19, coronavirus disease 2019.
aMaternal complications included chronic hypertension, diabetes mellitus, asthma, thyroid disorders, chronic kidney disease, and autoimmune diseases.
Adjusted for all variables in the table.