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Table 1 Demographics of Female and Male Respondents

From: Gender disparities among medical students choosing to pursue careers in medical research: a secondary cross-sectional cohort analysis

Demographic

Female, n (%)

Male, n (%)

P-valueb

Cramer’s Vc

Gender Distribution

2328 (56.3%)

1795 (43.4%)

  

Training program

  

< 0.001

0.11

 MD-RI

366 (15.7%)

284 (15.8%)

  

 MD/PhD

394 (16.9%)

459 (25.6%)

  

 MD Only

1568 (67.4%)

1052 (58.6%)

  

 TOTAL

2328 (100%)

1795 (100%)

  

Training stagea

  

0.20

N/A

 Medical School Year 1

657 (28.4%)

502 (28.2%)

  

 Medical School Year 2

576 (24.9%)

462 (26.0%)

  

 Medical School Year 3

392 (17.0%)

281 (15.8%)

  

 Medical School Year 4

407 (17.6%)

271 (15.2%)

  

 Graduate School Year

5 (0.2%)

5 (0.3%)

  

 Year Out for Research

61 (2.6%)

39 (2.2%)

  

 Graduate School Year 1

64 (2.8%)

69 (3.9%)

  

 Graduate School Year 2

49 (2.1%)

54 (3.0%)

  

 Graduate School Year 3

44 (1.9%)

40 (2.3%)

  

 Graduate School Year 4

46 (2.0%)

42 (2.4%)

  

 Graduate School Year 5 or more

11 (0.5%)

14 (0.8%)

  

 TOTAL

2312 (100%)

1779 (100%)

  

Race

  

0.002

0.07

 White

1587 (69.9%)

1263 (72.8%)

  

 Black or African American

114 (5.0%)

52 (3.0%)

  

 American Indian or Alaska Native

6 (0.3%)

4 (0.2%)

  

 Asian or Pacific Islander

259 (11.4%)

159 (9.2%)

  

 Multi-racial or Other

303 (13.4%)

258 (14.9%)

  

 TOTAL

2269 (100%)

1736 (100%)

  

Marital status

  

0.07

N/A

 Married/Partnered

569 (25.1%)

481 (27.6%)

  

 Not Married/Partnered

1698 (74.9%)

1261 (72.4%)

  

 TOTAL

2267 (100%)

1742 (100%)

  

Parental status

  

< 0.0001

0.07

 Has a child/children (of 4041)

97 (4.3%)

132 (7.6%)

  

 Does NOT have a child/children

2168 (95.7%)

1611 (92.4%)

  

 TOTAL

2265 (100%)

1743 (100%)

  

Primary source of medical school funding

  

< 0.0001

0.13

 MD-PhD or DO-PhD sponsored only

345 (15.1%)

403 (22.9%)

  

 Scholarships

210 (9.2%)

171 (9.7%)

  

 Grants

37 (1.6%)

36 (2.1%)

  

 Loans

1238 (54.3%)

874 (49.7%)

  

 National Service

19 (0.8%)

31 (1.8%)

  

 Personal Savings

27 (1.2%)

18 (1.0%)

  

 Family/Partner Support

398 (17.5%)

223 (12.7%)

  

 Work

2 (0.1%)

4 (0.2%)

  

 Other

3 (0.1%)

0 (0.0%)

  

 TOTAL

2279 (100%)

1760 (100%)

  
  1. a Excluding Other/NA
  2. b Male versus female responses were compared using chi-squared tests and Fisher’s exact tests where appropriate
  3. c Cramer’s V was used to measure effect size between male and female respondents
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