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Table 1 Sociodemographic and clinical variables associated with positive and negative attitudes towards transplantation

From: The company we keep. Using hemodialysis social network data to classify patients’ kidney transplant attitudes with machine learning algorithms

Demographics N(%)

Positive attitude N = 66 (60%)

Negative attitude N = 44 (40%)

Total N = 110 (100%)

p value

Sex

   

0.64

 Female

30 (45.5%)

18 (40.9%)

48 (43.6%)

 

 Male

36 (54.5%)

26 (59.1%)

62 (56.4%)

 

Age

   

0.04

  < 50

16 (24.2%)

6 (13.6%)

22 (20.0%)

 

 50–59

17 (25.8%)

9 (20.5%)

26 (23.6%)

 

 60–69

25 (37.9%)

14 (31.8%)

39 (35.5%)

 

  > 69

8 (12.1%)

15 (34.1%)

23 (20.9%)

 

Race

   

0.05

 Black

53 (80.3%)

28 (63.6%)

81 (73.6%)

 

 Other

13 (19.7%)

16 (36.4%)

29 (26.4%)

 

Facility

   

0.01

 1 (Urban)

48 (72.7%)

22 (50.0%)

70 (63.4%)

 

 2 (Suburban)

18 (27.3%)

22 (50.0%)

40 (36.6%)

 

Married/ Cohabit

24 (36.4%)

12 (27.3%)

36 (32.3%)

0.36

Religion

   

0.78

 Protestant

38 (57.6%)

23 (52.3%)

61 (55.5%)

 

 Catholic

11 (16.7%)

7 (15.9%)

18 (16.4%)

 

 Jewish

1 (1.5%)

2 (4.5%)

3 (2.7%)

 

 Muslim

4 (6.1%)

1 (2.3%)

5 (4.5%)

 

 Other

6 (9.1%)

6 (13.6%)

12 (10.9%)

 

 None

6 (9.1%)

5 (11.4%)

11 (10.0%)

 

Health

   

0.81

 Excellent

1 (1.5%)

0 (0%)

1 (0.9%)

 

 Very good

9 (13.6%)

6 (13.6%)

15 (13.6%)

 

 Good

23 (34.8%)

12 (27.3%)

35 (31.8%)

 

 Fair

26 (39.4%)

20 (45.5%)

46 (41.8%)

 

 Poor

7 (10.6%)

6 (13.6%)

13 (11.8%)

 

Education

   

0.71

 Less than high School

6 (9.2%)

7 (15.9%)

13 (11.9%)

 

 High School graduate

24 (36.9%)

15 (34.1%)

39 (35.8%)

 

 College with no degree

10 (15.4%)

6 (13.6%)

16 (14.7%)

 

 Associate degree

11 (16.9%)

6 (13.6%)

17 (15.6%)

 

 Bachelor’s degree

12 (18.5%)

6 (13.6%)

18 (16.5%)

 

 Master's degree

1 (1.5%)

3 (6.8%)

4 (3.7%)

 

 Ph.D. degree

1 (1.5%)

1 (2.3%)

2 (1.8%)

 

Employment

   

0.13

 Employed Full-time

3 (4.5%)

1 (2.3%)

4 (3.6%)

 

 Employed Part-time

2 (3.0%)

2 (4.5%)

4 (3.6%)

 

 Unemployed looking for work

3 (4.5%)

0 (0%)

3 (2.7%)

 

 Unemployed and not looking for work

4 (6.1%)

0 (0%)

4 (3.6%)

 

 Retired

22 (33.3%)

25 (56.8%)

47 (42.7%)

 

 Homemaker

1 (1.5%)

0 (0%)

1 (0.9%)

 

 Disabled

31 (47.0%)

16 (36.4%)

47 (42.7%)

 

Income k = $1000

   

0.05

 0-19 k

25 (37.9%)

9 (20.5%)

34 (30.9%)

 

 20-39 k

12 (18.2%)

8 (18.2%)

20 (18.2%)

 

 40-59 k

4 (6.1%)

4 (9.1%)

8 (7.3%)

 

 60-79 k

5 (7.6%)

3 (6.8%)

8 (7.3%)

 

 80-99 k

4 (6.1%)

0 (0.0%)

4 (3.6%)

 

 100 k or more

5 (7.6%)

3 (6.5%)

8 (7.3%)

 

 Don’t know

2 (3.0%)

9 (20.5%)

11 (10.0%)

 

 Nonresponse

9 (13.6%)

8 (18.2%)

17 (15.5%)

 

Dialysis vintage

   

0.22

  < 6 months

3 (4.5%)

0 (0.0%)

3 (2.7%)

 

 6 months—1 year

9 (13.6%)

3 (6.8%)

12 (10.9)

 

 1-5 years

29 (43.9%)

26 (59.1%)

55 (50.0%)

 

  > 5 Years

25 (37.9%)

15 (34.1%)

40 (36.4%)

 

Accept kidney from Someone who has died

   

 < 0.001

 Yes

64 (97.0%)

25 (58.1%)

89 (81.7%)

 

 No

2 (3.0%)

17 (39.5%)

19 (17.4%)

 

 Don’t know

0 (0%)

1 (2.3%)

1 (0.9%)

 

Accept kidney from Living donor

   

 < 0.001

 Yes

64 (97.0%)

29 (67.4%)

93 (85.3%)

 

 No

2 (3.0%)

13 (30.2%)

15 (13.8%)

 

 Don’t know

0 (0%)

1 (2.3%)

1 (0.9%)

 

Would You Like More Transplant Information

   

0.01

 Yes

36 (54.5%)

13 (29.5%)

49(44.5%)

 

 No

30 (45.5%)

31 (70.5%)

61(55.5%)

 
  1. Table 1 shows the demographic and clinical data differences between participants who had a positive attitude towards kidney transplantation and those who had a negative attitude. One participant chose not to provide highest level of education