Table 1 Background characteristics (N = 1283).

From: Predicting factors associated with anxiety by patients undergoing treatment for infectious diseases using a random-forest machine learning approach

Characteristics

Total

Anxiety (N = 241)

Non-anxiety (N = 1042)

P value

Age

39 (31,49)

36 (30,48)

40 (31,49)

0.045

Diagnosis Time

13 (10,16)

13 (10,16)

13 (10,15)

0.976

Entrapment

17 (16,26)

32 (22,47.5)

17 (16,23)

0.000

Defeat

28 (30,55)

38 (32,48)

28 (23,30)

0.000

Stigma

47 (30,55)

55 (48,67)

43 (27,53)

0.000

Coping styles

36 (31,41)

32 (30,37)

36 (31,42)

0.000

Social support

61 (48,72)

53 (48,62.5)

63 (48,72)

0.000

Gender

0.119

 Male

765 (59.6)

632 (60.7)

133 (55.2)

 

 Female

518 (40.4)

410 (39.3)

108 (44.8)

 

Educational level

0.203

 High school and below

906 (70.6)

161 (66.80)

745 (71.50)

 

 Undergraduate

320 (24.9)

71 (29.50)

249 (23.90)

 

 Master

41 (3.2)

5 (2.10)

36 (3.50)

 

 Doctor

16 (1.2)

4 (1.70)

12 (1.20)

 

Marital status

0.498

 Unmarried

285 (22.2)

59 (24.50)

226 (21.70)

 

 Married

948 (73.9)

175 (72.60)

773 (74.20)

 

 Divorced

44 (3.4)

7 (2.90)

37 (3.60)

 

 Widowed

6 (0.5)

0

6 (0.60)

 

COVID-19 Vaccination

0.054

 Unvaccinated

79 (6.2)

10 (4.10)

69 (6.60)

 

 One shot

41 (3.2)

10 (4.10)

31 (3.00)

 

 Two shots

355 (27.7)

54 (22.40)

301 (28.90)

 

 Three shots

808 (63.0)

167 (69.30)

641 (61.50)

 

Psychological counseling experience in the past week

0.007

 Yes

105 (8.2)

30 (12.40)

75 (7.20)

 

 No

1178 (91.8)

211 (87.60)

967 (92.80)