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Table 1 Characteristics of student participants and their interest in pursuing medical study prior and post the COVID-19 outbreak

From: COVID-19 outbreak improves attractiveness of medical careers in Chinese senior high school students

Characteristics Total (%)a Before COVID-19 After COVID-19 Differencee χ2 P value f
Nob Percentagec IQRd Nob Percentagec IQRd
All subjects 21,085 3682 17.5 (13.9, 20.9) 6249 29.6 (23.6, 35.6) 12.1 2175.5 < 0.001
Sex
 Male 9933 (47.1) 1583 15.9 (11.4, 19.7) 2658 26.8 (20.6, 31.2) 10.9 907.8 < 0.001
 Female 11,152 (52.9) 2099 18.8 (15.7, 22.3) 3591 32.2 (27.5, 38.4) 13.4 1267.7 < 0.001
Father’s education
 Below primary school 1727 (8.2) 276 16.0 (10.7, 21.3) 538 31.2 (18.3, 43.8) 15.2 235.1 < 0.001
 Junior school 5831 (27.7) 962 16.5 (12.0, 20.4) 1767 30.3 (24.6, 35.8) 13.8 696.1 < 0.001
 High school 5934 (28.1) 1060 17.9 (13.2, 20.7) 1774 29.9 (24.2, 35.0) 12.0 609.8 < 0.001
 Diploma 2972 (14.1) 534 18.0 (12.8, 22.3) 900 30.3 (23.6, 38.0) 12.3 318.9 < 0.001
 University or above 4621 (21.9) 850 18.4 (13.4, 25.6) 1270 27.5 (23.0, 34.4) 9.1 320.7 < 0.001
Mother’s education
 Below primary school 2868 (13.6) 446 15.6 (12.3, 23.6) 886 30.9 (24.8, 39.2) 15.3 400.0 < 0.001
 Junior school 6234 (29.6) 1061 17.0 (12.7, 19.7) 1886 30.3 (23.2, 34.6) 13.3 706.8 < 0.001
 High school 4933 (23.4) 853 17.3 (10.6, 22.0) 1443 29.3 (21.2, 36.3) 12.0 504.5 < 0.001
 Diploma 3339 (15.8) 641 19.2 (11.2, 22.5) 1007 30.2 (21.7, 35.3) 11.0 299.0 < 0.001
 University and above 3711 (17.6) 681 18.4 (16.6, 28.2) 1027 27.7 (23.8, 39.5) 9.3 269.6 < 0.001
Region
 Hubei 809 (3.8) 100 12.4   167 20.6   8.2 50.4 < 0.001
 Non-Hubei 20,276 (96.2) 3582 17.7 (14.4, 21.1) 6082 30.0 (24.0, 35.7) 12.3 2125.9 < 0.001
Academic year
 Year 1 7032 (33.4) 1193 17.0 (13.5, 19.7) 2155 30.6 (24.2, 34.8) 13.6 845.9 < 0.001
 Year 2 6698 (31.8) 1019 15.2 (10.6, 18.8) 1789 26.7 (19.8, 35.3) 11.5 651.5 < 0.001
 Graduate year 6984 (33.1) 1373 19.7 (12.9, 20.6) 2158 30.9 (22.9, 35.3) 11.2 639.9 < 0.001
 Resit of graduate year 371 (1.8) 97 26.1 (0, 30.8) 147 39.6 (9.1, 100.0) 13.5 40.3 < 0.001
Academic performance
 Top tier 14,698 (69.7) 2695 18.3 (14.3, 21.7) 4352 29.6 (24.0, 34.8) 11.3 1390.2 < 0.001
 Second tier 4679 (22.2) 733 15.7 (10.8, 20.0) 1402 30.0 (21.9, 36.6) 14.3 576.0 < 0.001
 Third tier 687 (3.3) 117 17.0 (0, 20.0) 239 34.8 (25.0, 46.6) 17.8 112.8 < 0.001
 Others 1021 (4.8) 137 13.4 (0.0, 21.1) 256 25.1 (6.3, 37.5) 11.7 97.7 < 0.001
Any acquaintance with COVID-19
 Yes 328 (1.6) 49 14.9 (0, 33.3) 82 25.0 (0, 50.0) 10.1 26.6 0.0013
 No 20,757 (98.4) 3633 17.5 (14.0, 20.9) 6167 29.7 (23.5, 35.8) 12.2 2149.0 < 0.001
IDSHL score
  ≤ 73 10,759 (51.0) 1500 13.9 (10.5, 16.5) 2761 25.6 (19.8, 31.0) 11.7 1056.6 < 0.001
 >73 10,326 (49.0) 2182 21.2 (16.8, 25.5) 3488 33.8 (27.7, 39.1) 12.6 1119.1 < 0.001
  1. aTotal number of students in all or subgroups and percentage of the subgroup
  2. bNumber of students who selected medicine
  3. cPercentage referring to the percentage of students who selected medicine in the subgroup, each value represents the percentage
  4. dIQR: Interquartile range, represented by the Q1 and Q3 value from the 36 schools with more than 100 participants
  5. eDifference calculated as the subtraction the percentage of students selecting medicine during COVID-19 from the percentage before the outbreak
  6. fχ2 and P values for McNemar tests in each subgroup