Materials and methods
95
Study design 96
We conducted a cross-sectional study about COVID-19 among the working-age 97
population in Japan on December 22–26, 2020. The present article is part of a series of 98
studies conducted under the CORoNaWork (Collaborative Online Research on the 99
Novel-coronavirus and Work) Project. 20 This study was conducted during the third 100
wave of the COVID-19 pandemic in Japan, when the number of infected people and 101
deaths peaked. 21 Although COVID-19 vaccination began in December 2020 in the 102
United Kingdom (UK) and the United States (US), Japan had not yet begun to 103
administer COVID-19 vaccines during the survey period.22 Pfizer requested a fast-track 104
approval of its COVID-19 vaccine from the government of Japan on December 18, 105
2020 and became the first company to receive this approval on February 14, 2021.3 106
107
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5
Criteria for eligibility for the present study were being aged 20–65 years and currently 108
working. Healthcare workers and caregivers were not invited to participate. We 109
recruited study participants from the panelists of Cross Marketing Inc. (Tokyo, Japan), 110
an Internet research company. These panelists regularly respond to self-administered 111
Internet surveys distributed by the company, receiving tokens that can be redeemed for 112
products and services as compensation. 113
114
For this survey, we used quota sampling by gender, residence (five districts), and 115
occupation (office worker or other). Information on these characteristics was retrieved 116
from the panelists’ Cross Marketing Inc. registration information. Cross Marketing Inc. 117
sent an invitation email to panelists who met the eligibility criteria, and those who were 118
interested in the study proceeded to the survey via a hyperlink. The participants 119
provided informed consent prior to beginning the online questionnaire. We set a quota 120
of 1,650 participants for each of the 20 strata and ceased recruitment when the target 121
number was reached. In total, 33,087 participants from all over Japan completed the 122
questionnaire. After excluding invalid responses, a total of 27,036 participants 123
remained. All participants received standard incentives through Cross Marketing Inc. 124
(i.e., a few dollars’ worth of tokens). The study was conducted according to the 125
guidelines of the Declaration of Helsinki, and it was approved by the Ethics Committee 126
of the University of Occupational and Environmental Health, Japan (Approval number: 127
R2-079). 128
129
Measures 130
The survey questions included items on demographic and health characteristics, 131
influenza vaccination status during the current season, fear of COVID-19 transmission, 132
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6
and willingness to get the COVID-19 vaccine. The demographic and health 133
characteristics were gender, age, education, marital status, annual household income (1 134
USD was equal to 106.78 JPY, using 2020 conversion rates), 23 underlying disease, and 135
smoking status. In line with a previous study, 18 we developed the following item to 136
assess willingness to get the COVID-19 vaccine: “If a COVID-19 vaccine becomes 137
available, I will get it.” The possible answers to this question were yes and no. Fear of 138
COVID-19 transmission was assessed by asking “Do you fear COVID-19 139
transmission?”, with yes and no as the possible responses. 140
141
Data analysis 142
We calculated frequencies and proportions for all variables. Descriptive statistics were 143
also calculated by gender to reveal more detailed background factors. Logistic 144
regression analysis was performed to calculate adjusted odds ratios (aORs) and 95% 145
confidence intervals (CIs) for all variables to evaluate associations with willingness to 146
get the COVID-19 vaccine. Because we hypothesized that gender was an important 147
determinant in the current study, the analysis was stratified by gender. We adjusted for 148
age; no adjustments were made for the other covariates because the purpose of this 149
study was to detect target populations for future intervention programs. All P-values 150
were two-sided, and statistical significance was set at P < .05. We used Stata/SE 16.1 151
(StataCorp, College Station, TX, USA) for all analyses. 152
153
Discussion
194
This study provides evidence on gender differences in the determinants of willingness 195
to get the COVID-19 vaccine. In the present study, the percentage of people who were 196
willing to get the COVID-19 vaccine was lower among women than among men 197
(33.0% vs. 41.8%). This trend was similar to the findings of previous studies in 198
developed countries.14, 19, 24, 25 Notably, we found a gender gap in the associations of age 199
and education level with willingness to get the COVID-19 vaccine: men who were older 200
or had a higher level of education were more willing to get the vaccine, whereas women 201
aged 30–49 years and those with a higher level of education were less willing to get the 202
vaccine. Other factors showed similar trends for men and women: for both men and 203
women, a higher likelihood of being willing to get the COVID-19 vaccine was observed 204
in married participants, those with a higher annual household income, those who had an 205
underlying disease, those who currently smoked, those who had been vaccinated against 206
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9
influenza during the current season, and those with a fear of COVID-19 transmission. 207
These findings give important insight into identifying target groups for improving 208
COVID-19 vaccination intentions, especially among women. 209
210
The most notable finding of the present study was a gender gap in the associations of 211
age and education with willingness to get the COVID-19 vaccine. As mentioned above, 212
men who were older or had a higher level of education were more willing to get the 213
vaccine, whereas women aged 30–49 years and those with a higher level of education 214
were less willing to get the vaccine. For men, this finding is consistent with previous 215
studies; older age and higher level of education are known facilitators for health 216
protection, which should correlate with COVID-19 vaccination intentions. 24, 26, 27 217
Conversely, the current results for women vary from the findings presented in these 218
studies. This difference may be explained by a higher level of concern about adverse 219
effects of the vaccine among women aged 30–49 years and among those with a 220
relatively high level of education in Japan during the current study period. We 221
considered that recent reporting on adverse effects following receipt of the human 222
papillomavirus vaccine in major Japanese newspapers may have had a negative impact 223
on the vaccination intentions of these groups. 28 These findings may imply the need for 224
intervention in this population regarding COVID-19 vaccination. 225
226
The current study found that influenza vaccination status and fear of COVID-19 227
transmission were strongly associated with willingness to get the COVID-19 vaccine 228
among both men and women. These results are in line with previous studies.16, 17, 29, 30 In 229
the case of the 2009 influenza pandemic, perceived risk of infection translated into 230
preventive behaviors, including vaccination. 31 Similarly, the experience of receiving a 231
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10
vaccine have been shown to increase an individual’s confidence in the efficacy and 232
safety of other vaccines. 29, 30 Nevertheless, working-age people have fewer 233
opportunities to receive the influenza vaccine compared with older adults because of the 234
former group’s busy work schedules.32 These findings suggest that providing education 235
about COVID-19 and influenza vaccination in the workplace may be an effective 236
strategy to increase COVID-19 vaccine uptake. 237
238
In the current study, a higher likelihood of being willing to get the COVID-19 vaccine 239
was observed among those who were married, those with a higher annual household 240
income, those with an underlying disease, and those who currently smoked. Vulnerable 241
populations, such as people with low socioeconomic status, are often found to have 242
relatively poor health and to need support regarding their willingness to be vaccinated.16 243
In addition, a previous study on influenza vaccination suggests that single people are 244
less willing to be vaccinated compared with their married counterparts because single 245
people are not at risk of transmission from coresident family members. 11 Our finding 246
regarding the presence of underlying disease may be related to the fear of COVID-19 247
transmission because underlying disease a known risk factor for clinical severity of 248
COVID-19 infection.24 Only our finding on tobacco use was inconsistent with previous 249
studies, which have found that smokers often tend to refuse vaccines regardless of the 250
risk of clinical worsening associated with smoking. 10, 11, 33 Further studies should focus 251
on confirming the relationship between smoking and COVID-19 vaccination intention. 252
253
Overall, we found that 37.5% of the working-age population in Japan was willing to get 254
the COVID-19 vaccine. This percentage is not high enough to achieve herd immunity 255
through the vaccination program. 5 This acceptance rate is lower than that in other 256
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11
countries, such as China (91.3%), France (58.9%), the US (56.9%), and Russia 257
(54.9%).6 Furthermore, the acceptance rate is lower than the rate reported in a previous 258
study in Japan (65.7%) that was conducted in September 2020. 19 One possible reason 259
for the low vaccination intention in the current study may be tied to the research 260
period.15 Our study was conducted in December 2020, right after the start of the 261
COVID-19 vaccination program in the UK and the US, and the media coverage of 262
adverse effects was exaggerated.34, 35 Another reason is that people of working age have 263
been found to be less willing to get the COVID-19 vaccine compared with older 264
adults,19 which would affect the present results. These findings have important 265
implications for vaccination intentions, although vaccination acceptance may change 266
after the vaccine is available for administration among the working-age population. 267
268
The main strengths of this study are the large sample size and the use of a sample from 269
throughout Japan. A limitation of this study is that we recruited study participants from 270
an Internet research company’s list of panelists. A previous study on the anti-vaccine 271
movement reported that anti-vaccine messages were more prevalent on the Internet than 272
in other sources. 36 Therefore, the participants in the current study may have been 273
particularly likely to access anti-vaccine websites, and this should be taken into account 274
when interpreting the results of our study. Additionally, we conducted the current study 275
before the administration of the COVID-19 vaccination program in Japan; therefore, we 276
could not provide participants with detailed information, such as the vaccination 277
schedule, which may have affected their willingness to get the vaccine. 278
279
In conclusion, the current study revealed a gender gap in the associations of age and 280
education level with willingness to get the COVID-19 vaccine. In particular, women 281
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12
aged 30–49 years and those with a higher level of education were less willing to get the 282
vaccine. These findings may imply the need for intervention for this population 283
regarding COVID-19 vaccination. Providing education about COVID-19 and influenza 284
vaccination in the workplace may be an effective strategy to increase COVID-19 285
vaccine uptake. 286
287
Acknowledgments 288
We thank the current members of the CORoNaWork Project (listed in alphabetical 289
order): Professor Yoshihisa Fujino (present chairperson of the study group), Dr. Hajime 290
Ando, Professor Hisashi Eguchi, Dr. Kazunori Ikegami, Dr. Tomohiro Ishimaru, Dr. 291
Arisa Harada, Dr. Ayako Hino, Dr. Kyoko Kitagawa, Dr. Kosuke Mafune, Professor 292
Shinya Matsuda, Dr. Ryutaro Matsugaki, Professor Koji Mori, Dr. Keiji Muramatsu, 293
Dr. Masako Nagata, Dr. Tomohisa Nagata, Ms. Ning Liu, Professor Akira Ogami, Dr. 294
Rie Tanaka, Dr. Seiishiro Tateishi, Dr. Kei Tokutsu and Professor Mayumi Tsuji. All 295
members are affiliated with the University of Occupational and Environmental Health, 296
Japan. 297
298
Funding details 299
This study was supported and partly funded by the University of Occupational and 300
Environmental Health, Japan; General Incorporated Foundation (Anshin Zaidan); The 301
Development of Educational Materials on Mental Health Measures for Managers at 302
Small-sized Enterprises; Health, Labour and Welfare Sciences Research Grants: 303
Comprehensive Research for Women’s Healthcare (H30-josei-ippan-002) and Research 304
for the Establishment of an Occupational Health System in Times of Disaster (H30-305
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is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review)
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13
roudou-ippan-007); scholarship donations from Chugai Pharmaceutical Co., Ltd.; the 306
Collabo-Health Study Group; and Hitachi Systems, Ltd. 307
308
Disclosure statement 309
The authors declare no conflict of interest. 310
311
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433
434
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16
Table 1. Characteristics of the study population. 435
n (%)
Gender
Men 13,814 (51.1)
Women 13,222 (48.9)
Age (years)
20–29 1,905 (7.0)
30–39 4,858 (18.0)
40–49 8,011 (29.6)
50–59 9,012 (33.3)
60–65 3,250 (12.0)
Education level
Junior high or high school 7,321 (27.1)
Vocational school or college 6,544 (24.2)
University or graduate school 13,171 (48.7)
Marital status
Single 9,164 (33.9)
Divorced or widowed 2,843 (10.5)
Married 15,029 (55.6)
Annual household income (JPY)
< 2,000,000 1,709 (6.3)
2,000,000–3,999,999 5,548 (20.5)
4,000,000–7,999,999 11,927 (44.1)
≥ 8,000,000 7,852 (29.1)
Underlying disease
No 17,526 (64.8)
Yes 9,510 (35.2)
Smoking status
Never smoked 14,587 (54.0)
Former smoker 5,445 (20.1)
Current smoker 7,004 (25.9)
Received the influenza vaccine during the current season
No 15,411 (57.0)
Yes 11,625 (43.0)
Fear of COVID-19 transmission
No 7,019 (26.0)
Yes 20,017 (74.0)
Willing to get the COVID-19 vaccine
No 16,889 (62.5)
Yes 10,147 (37.5)
JPY: Japanese yen; COVID-19: coronavirus disease 2019 436
437
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17
Table 2. Characteristics of the study population by willingness to get the COVID-19 438
vaccine and gender. 439
Men Women
Willing Unwilling Willing Unwilling
n = 5,780
(41.8%)
n = 8,034
(58.2%)
n = 4,367
(33.0%)
n = 8,855
(67.0%)
n (%) n (%) n (%) n (%)
Age (years)
20–29 66 (34.4) 126 (65.6) 604 (35.3) 1,109 (64.7)
30–39 424 (37.8) 698 (62.2) 1,192 (31.9) 2,544 (68.1)
40–49 1,487 (39.1) 2,316 (60.9) 1,282 (30.5) 2,926 (69.5)
50–59 2,540 (41.9) 3,527 (58.1) 1,034 (35.1) 1,911 (64.9)
60–65 1,263 (48.0) 1,367 (52.0) 255 (41.1) 365 (58.9)
Education level
Junior high or high school 1,562 (40.1) 2,335 (59.9) 1,212 (35.4) 2,212 (64.6)
Vocational school or college 818 (40.7) 1,194 (59.3) 1,523 (33.6) 3,009 (66.4)
University or graduate school 3,400 (43.0) 4,505 (57.0) 1,632 (31.0) 3,634 (69.0)
Marital status
Single 1,195 (35.3) 2,189 (64.7) 1,724 (29.8) 4,056 (70.2)
Divorced or widowed 391 (39.9) 590 (60.1) 663 (35.6) 1,199 (64.4)
Married 4,194 (44.4) 5,255 (55.6) 1,980 (35.5) 3,600 (64.5)
Annual household income (JPY)
< 2,000,000 219 (31.1) 486 (68.9) 289 (28.8) 715 (71.2)
2,000,000–3,999,999 897 (38.8) 1,414 (61.2) 1,056 (32.6) 2,181 (67.4)
4,000,000–7,999,999 2,585 (41.2) 3,694 (58.8) 1,866 (33.0) 3,782 (67.0)
≥ 8,000,000 2,079 (46.0) 2,440 (54.0) 1,156 (34.7) 2,177 (65.3)
Underlying disease
No 3,201 (38.0) 5,221 (62.0) 2,844 (31.2) 6,260 (68.8)
Yes 2,579 (47.8) 2,813 (52.2) 1,523 (37.0) 2,595 (63.0)
Smoking status
Never smoked 1,999 (38.4) 3,213 (61.6) 2,976 (31.7) 6,399 (68.3)
Former smoker 1,664 (44.4) 2,083 (55.6) 554 (32.6) 1,144 (67.4)
Current smoker 2,117 (43.6) 2,738 (56.4) 837 (38.9) 1,312 (61.1)
Received the influenza vaccine during the current season
No 2,570 (30.6) 5,825 (69.4) 1,656 (23.6) 5,360 (76.4)
Yes 3,210 (59.2) 2,209 (40.8) 2,711 (43.7) 3,495 (56.3)
Fear of COVID-19 transmission
No 986 (23.9) 3,146 (76.1) 542 (18.8) 2,345 (81.2)
Yes 4,794 (49.5) 4,888 (50.5) 3,825 (37.0) 6,510 (63.0)
COVID-19: coronavirus disease 2019; JPY: Japanese yen 440
441
. CC-BY-NC-ND 4.0 International licenseIt is made available under a
is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review)
The copyright holder for this preprint this version posted April 20, 2021. ; https://doi.org/10.1101/2021.04.13.21255442doi: medRxiv preprint
18
Table 3. Factors associated with willingness to get the COVID-19 vaccine by gender. 442
Men Women
aORa (95% CI) P-value aORa (95% CI) P-value
Age (years)
20–29 1.00 - - 1.00 - -
30–39 1.16 (0.84–1.60) .366 0.86 (0.76–0.97) .015
40–49 1.23 (0.90–1.66) .191 0.80 (0.71–0.91) < .001
50–59 1.38 (1.02–1.86) .039 0.99 (0.88–1.13) .918
60–65 1.76 (1.30–2.40) < .001 1.28 (1.06–1.55) .010
Education level
Junior high or high school 1.00 - - 1.00 - -
Vocational school or college 1.04 (0.93–1.16) .461 0.93 (0.84–1.02) .099
University or graduate school 1.13 (1.04–1.22) .003 0.83 (0.75–0.91) < .001
Marital status
Single 1.00 - - 1.00 - -
Divorced or widowed 1.13 (0.97–1.31) < .001 1.30 (1.16–1.46) < .001
Married 1.37 (1.26–1.49) < .001 1.30 (1.20–1.40) < .001
Annual household income (JPY)
< 2,000,000 1.00 - - 1.00 - -
2,000,000–3,999,999 1.45 (1.21–1.73) < .001 1.20 (1.03–1.41) .020
4,000,000–7,999,999 1.61 (1.36–1.90) < .001 1.23 (1.06–1.42) .007
≥ 8,000,000 1.91 (1.61–2.26) < .001 1.32 (1.13–1.53) < .001
Underlying disease
No 1.00 - - 1.00 - -
Yes 1.43 (1.34–1.54) < .001 1.29 (1.19–1.39) < .001
Smoking status
Never smoked 1.00 - - 1.00 - -
Former smoker 1.21 (1.11–1.33) < .001 1.04 (0.93–1.16) .521
Current smoker 1.20 (1.11–1.30) < .001 1.36 (1.24–1.51) < .001
Received the influenza vaccine during the current season
No 1.00 - - 1.00 - -
Yes 3.28 (3.05–3.52) < .001 2.53 (2.35–2.73) < .001
Fear of COVID-19 transmission
No 1.00 - - 1.00 - -
Yes 3.09 (2.85–3.35) < .001 2.54 (2.29–2.81) < .001
COVID-19: coronavirus disease 2019; aOR: adjusted odds ratio; CI: confidence 443
interval; JPY: Japanese yen 444
aAdjusted for age 445
446
. CC-BY-NC-ND 4.0 International licenseIt is made available under a
is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review)
The copyright holder for this preprint this version posted April 20, 2021. ; https://doi.org/10.1101/2021.04.13.21255442doi: medRxiv preprint