Skip to main content

Table 2 Distribution of answers in hot and other regions stratified by respondents’ gender.

From: Impact of the COVID-19 outbreak on the profession and psychological wellbeing of radiologists: a nationwide online survey

Question # % of replies
(hot regions)
% of replies
(other regions)
log OR (CI95%) z (p value)
9 Male: 314/452 (69.5%)
Female: 379/460 (82.4%)
Male: 399/598 (66.7%)
Female: 454/566 (80.2%)
Male: 0.1265 (− 0.1860 ÷ 0.4389)
Female: 0.1435 (− 0.1243 ÷ 0.4112)
Male: 0.7934 (0.4275)
Female: 1.0503 (0.2936)
10 Male: 270/452 (59.7%)
Female: 329/460 (71.5%)
Male: 321/598 (53.7%)
Female: 421/566 (74.4%)
Male: 0.2470 (− 0.0293 ÷ 0.5233)
Female: − 0.1450 (− 0.3929 ÷ 0.1029)
Male: 1.7521 (0.0798)
Female: − 1.1467 (0.2515)
20 Male: 116/429 (27.0%)
Female: 135/436 (31.0%)
Male: 149/569 (26.2%)
Female: 195/538 (36.2%)
Male: 0.0437 (− 0.2506 ÷ 0.3380)
Female: − 0.2371 (− 0.4937 ÷ 0.0195)
Male: 0.2910 (0.7710)
Female: − 1.8113 (0.0701)
22 Male: 102/429 (23.8%)
Female: 148/436 (33.9%)
Male: 98/569 (17.2%)
Female: 175/538 (32.5%)
Male: 0.4049 (0.1071 ÷ 0.7027)
Female: 0.0639 (− 0.2188 ÷ 0.3465)
Male: 2.6646 (0.0077)*
Female: 0.4429 (0.6578)
23 Male: 200/429 (46.6%)
Female: 294/436 (67.4%)
Male: 270/569 (47.5%)
Female: 348/538 (64.7%)
Male: − 0.0334 (− 0.3093 ÷ 0.2425)
Female: 0.1226 (− 0.1190 ÷ 0.3641)
Male: − 0.2372 (0.8125)
Female: 0.9947 (0.3199)
31 Male: 11/406 (2.7%)
Female: 19/421 (4.5%)
Male: 11/549 (2.0%)
Female: 13/521 (2.5%)
Male: 0.3090 (− 0.4465 ÷ 1.0644)
Female: 0.6135 (− 0.1985 ÷ 1.4256)
Male: 0.8016 (0.4228)
Female: 1.4808 (0.1387)
32 Male: 59/406 (14.5%)
Female: 52/421 (12.4%)
Male: 61/549 (11.1%)
Female: 55/521 (10.6%)
Male: 0.3077 (− 0.0929 ÷ 0.7082)
Female: 0.1773 (− 0.2086 ÷ 0.5632)
Male: 1.5053 (0.1322)
Female: 0.9004 (0.3679)
33 Male: 80/406 (19.7%)
Female: 125/421 (29.7%)
Male: 109/549 (19.9%)
Female: 153/521 (29.4%)
Male: − 0.0094 (− 0.3312 ÷ 0.3123)
Female: 0.0156 (− 0.2664 ÷ 0.2976)
Male: − 0.0575 (0.9541)
Female: 0.1084 (0.9137)
34 Male: 74/406 (18.2%)
Female: 108/421 (25.7%)
Male: 96/549 (17.5%)
Female: 116/521 (22.3%)
Male: 0.0505 (− 0.2832 ÷ 0.3841)
Female: 0.1862 (− 0.1156 ÷ 0.4881)
Male: 0.2965 (0.7668)
Female: 1.2093 (0.2265)
35 Male: 102/406 (25.1%)
Female: 163/421 (38.7%)
Male: 120/549 (21.9%)
Female: 173/521 (33.2%)
Male: 0.1819 (− 0.1160 ÷ 0.4798)
Female: 0.2397 (− 0.0327 ÷ 0.5121)
Male: 1.1968 (0.2314)
Female: 1.7246 (0.0846)
36 Male: 209/406 (51.5%)
Female: 209/421 (49.6%)
Male: 285/549 (51.9%)
Female: 260/521 (49.9%)
Male: − 0.0174 (− 0.2901 ÷ 0.2553)
Female: − 0.0104 (− 0.2503 ÷ 0.2294)
Male: − 0.1251 (0.9004)
Female: − 0.0851 (0.9322)
37 Male: 116/406 (28.6%)
Female: 156/421 (37.1%)
Male: 150/549 (27.3%)
Female: 229/521 (44.0%)
Male: 0.0620 (− 0.2303 ÷ 0.3544)
Female: − 0.2868 (− 0.5421 ÷ − 0.0316)
Male: 0.4159 (0.6775)
Female: − 2.2023 (0.0276)*
38 Male: 137/406 (33.7%)
Female: 215/421 (51.1%)
Male: 160/549 (29.1%)
Female: 246/521 (47.2%)
Male: 0.2137 (− 0.0671 ÷ 0.4945)
Female: 0.1542 (− 0.0977 ÷ 0.4061)
Male: 1.4916 (0.1358)
Female: 1.1997 (0.2303)
39 Male: 103/406 (25.4%)
Female: 157/421 (37.3%)
Male: 156/549 (28.4%)
Female: 198/521 (38.0%)
Male: − 0.1551 (− 0.4534 ÷ 0.1433)
Female: − 0.0303 (− 0.2866 ÷ 0.2260)
Male: − 1.0187 (0.3083)
Female: − 0.2318 (0.8167)
40 Male: 41/406 (10.1%)
Female: 87/421 (20.7%)
Male: 55/549 (10.0%)
Female: 112/521 (21.5%)
Male: 0.0089 (− 0.3910 ÷ 0.4087)
Female: − 0.0500 (− 0.3983 ÷ 0.2983)
Male: 0.0435 (0.9653)
Female: − 0.2815 (0.7783)
41 Male: 14/406 (3.4%)
Female: 28/421 (6.7%)
Male: 17/549 (3.1%)
Female: 41/521 (7.9%)
Male: 0.1112 (− 0.5454 ÷ 0.7679)
Female: − 0.1814 (− 0.7601 ÷ 0.3973)
Male: 0.3320 (0.7399)
Female: − 0.6143 (0.5390)
42 Male: 88/406 (21.7%)
Female: 181/421 (43.0%)
Male: 142/549 (25.9%)
Female: 250/521 (48.0%)
Male: − 0.2317 (− 0.5366 ÷ 0.0732)
Female: − 0.2015 (− 0.4585 ÷ 0.0555)
Male: − 1.4896 (0.1363)
Female: − 1.5368 (0.1243)
  1. *p < 0.05