TABLE 1.
Demographics of participants (N = 1,023)
| Variables | n | (%) |
|---|---|---|
| Professional demographics | ||
| Type of university | ||
| National university | 210 | (20.5) |
| Prefectural/municipal university | 261 | (25.5) |
| Private university | 552 | (54.0) |
| Current position | ||
| Professor | 353 | (34.5) |
| Associate professor/lecturer | 442 | (43.2) |
| Assistant professor/teaching associate | 228 | (22.3) |
| Academic degree | ||
| Doctoral | 575 | (56.2) |
| Masters | 428 | (41.8) |
| Other | 15 | (1.5) |
| Prefer not to say/missing | 5 | (0.5) |
| Acquisition of KAKENHI a as a PI | ||
| Yes | 529 | (51.7) |
| No | 476 | (46.5) |
| Prefer not to say/missing | 18 | (1.8) |
| Personal demographics | ||
| Gender | ||
| Female | 919 | (89.8) |
| Male | 89 | (8.7) |
| Prefer not to say/missing | 15 | (1.5) |
| Age | ||
| −25 | 0 | (0.0) |
| 26–35 | 63 | (6.2) |
| 36–45 | 269 | (26.3) |
| 46–55 | 379 | (37.0) |
| 56–65 | 274 | (26.8) |
| 66– | 34 | (3.3) |
| Prefer not to say/missing | 4 | (0.4) |
| Presence of cohabitant | ||
| Yes | 610 | (59.6) |
| No | 363 | (35.5) |
| Prefer not to say/missing | 50 | (4.9) |
| Involvement in childcare | ||
| Yes | 363 | (35.5) |
| No | 623 | (60.9) |
| Prefer not to say/missing | 37 | (3.6) |
| Involvement in care‐giving for older adults/others | ||
| Yes | 164 | (16.0) |
| No | 818 | (80.0) |
| Prefer not to say/missing | 41 | (4.0) |
| Place of residence | ||
| Special alert prefectures b | 644 | (63.0) |
| Other prefectures | 371 | (36.3) |
| Prefer not to say/missing | 8 | (0.8) |
Abbreviation: PI, principal investigator.
a
KAKENHI (Grant‐in‐Aid for Scientific Research) is the major public competitive grant program for scientific research in Japan.
b
The Japanese government designated 13 prefectures (Hokkaido, Ibaraki, Tokyo, Kanagawa, Saitama, Chiba, Ishikawa, Gifu, Osaka, Aichi, Kyoto, Hyogo, and Fukuoka) as “special alert prefectures”