Volume 29, Number 9—September 2023
Research
Compliance Trajectory and Patterns of COVID-19 Preventive Measures, Japan, 2020–2022
Taro Kusama, Kenji Takeuchi
, Yudai Tamada, Sakura Kiuchi, Ken Osaka, and Takahiro Tabuchi
, Yudai Tamada, Sakura Kiuchi, Ken Osaka, and Takahiro Tabuchi
Table 2
Sociodemographic characteristics of participants in each survey in study of compliance trajectory and patterns of COVID-19 preventive measures, Japan, 2020–2022*
| Characteristics |
Surveys |
||||
| All responses |
JACSIS2020 |
JASTIS2021 |
JACSIS2021 |
JASTIS2022 |
|
| No. responses |
103,312 |
24,651 |
22,350 |
27,348 |
28,963 |
| Sex | |||||
| M | 51,540 (49.9) | 12,422 (50.4) | 11,467 (51.3) | 13,473 (49.3) | 14,179 (49.0) |
| F |
51,772 (50.1) |
12,229 (49.6) |
10,882 (48.7) |
13,875 (50.7) |
14,784 (51.0) |
| Age, y | |||||
| 20–29 | 15,650 (15.1) | 3,323 (13.5) | 2,816 (12.6) | 3,544 (13.0) | 5,967 (20.6) |
| 30–39 | 15,158 (14.7) | 3,794 (15.4) | 3,208 (14.4) | 4,165 (15.2) | 3,990 (13.8) |
| 40–49 | 20,151 (19.5) | 4,954 (20.1) | 4,467 (20.0) | 5,446 (19.9) | 5,284 (18.2) |
| 50–59 | 17,928 (17.3) | 4,283 (17.4) | 4,245 (19.0) | 4,794 ()17.5 | 4,606 (15.9) |
| 60–69 | 18,033 (17.5) | 4,290 (17.4) | 4,185 (18.7) | 4,844 (17.7) | 4,715 (16.3) |
| 70–79 |
16,392 (15.9) |
4,007 (16.2) |
3,429 (15.3) |
4,555 (16.7) |
4,401 (15.2) |
| Education | |||||
| Junior high school, high school | 50,397 (48.8) | 11,639 (47.2) | 11,026 (49.4) | 13,602 (49.7) | 14,130 (48.8) |
| Vocational school, junior college | 20,820 (20.2) | 4,962 (20.1) | 4,365 (19.5) | 5,576 (20.4) | 5,917 (20.4) |
| University, graduate school | 31,341 (30.3) | 7,908 (32.1) | 6,887 (30.8) | 7,930 (29.0) | 8,617 (29.8) |
| Other |
754 (0.7) |
142 (0.6) |
72 (0.3) |
240 (0.9) |
299 (1.0) |
| Equivalent income, million JPY | |||||
| <2.00 | 18,261 (17.7) | 4,388 (17.8) | 3,994 (17.9) | 4,743 (17.3) | 5,136 (17.7) |
| 2.00–3.99 | 37,976 (36.8) | 9,235 (37.5) | 8,422 (37.7) | 9,953 (36.4) | 10,366 (35.8) |
| 4.00–5.99 | 14,305 (13.8) | 3,183 (12.9) | 3,103 (13.9) | 3,894 (14.2) | 4,125 (14.2) |
| >6.00 | 9,741 (9.4) | 2,673 (10.8) | 2,036 (9.1) | 2,428 (8.9) | 2,604 (9.0) |
| Not answered |
23,029 (22.3) |
5,172 (21.0) |
4,795 (21.5) |
6,330 (23.2) |
6,732 (23.3) |
| Population density of residential prefecture | |||||
| High, top 20% | 30,580 (29.6) | 7,413 (30.1) | 6,422 (28.7) | 8,296 (30.3) | 8,448 (29.2) |
| Low, <80% | 72,732 (70.4) | 17,238 (69.9) | 15,928 (71.3) | 19,052 (69.7) | 20,515 (70.8) |
*Values are no. (%) of responses to questionnaires. JACSIS, Japan COVID-19 and Society Internet Survey (2020, 2021); JASTIS, Japan Society and New Tobacco Internet Survey (2021, 2022); JPY, Japanese yen.
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Page updated: August 20, 2023
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