Table 1 Sociodemographic characteristics, clinical symptoms, and LASSO variables for schizophrenia, bipolar disorder, and community samples.

From: Using machine learning to understand social isolation and loneliness in schizophrenia, bipolar disorder, and the community

 

Schizophrenia (n = 73)

Bipolar disorder (n = 48)

Community (n = 151)

F or χ2

p

Age

47.4 (11.3)

45.4 (10.8)

46.2 (10.3)

0.52

0.598

Education

12.9 (1.7)

14.5 (1.9)

14.8 (2.1)

24.09

<0.001

Race (%)

   

6.42

0.78

 Asian

5.5

2.0

8.0

  

 Black

32.0

23.0

25.8

  

 Other

5.5

10.5

8.6

  

 Pacific Islander

0

2.0

1.0

  

 Native American

0

0

1.0

  

 White

57.0

62.5

55.6

  

Sex (%)

   

0.32

0.848

 Male

65.3

60.5

64.2

  

 Female

34.7

39.5

35.8

  

Positive symptoms

2.4 (1.2)

1.2 (0.4)

1.1 (0.2)

97.51

<0.001

Expressive symptoms

1.0 (0.9)

0.5 (0.7)

0.3 (0.6)

25.89

<0.001

Motivation symptoms

1.7 (0.9)

1.3 (0.8)

1.1 (0.9)

10.90

<0.001

Maina symptoms

5.9 (5.5)

3.7 (4.8)

1.6 (2.2)

31.78

<0.001

Social Isolationa

0.3 (0.7)

0.2 (0.7)

0.3 (0.9)

1.59

0.213

Lonelinessa

44.4 (9.6)

49.1 (10.8)

47.0 (11.7)

2.71

0.067

Depressiona

7.3 (5.4)

8.2 (6.2)

4.1 (4.7)

16.52

<0.001

Social Cognitiona

−0.9 (1.4)

0.2 (1.0)

0.4 (1.1)

28.01

<0.001

Nonsocial Cognitiona

37.1 (14.4)

42.3 (11.5)

47.0 (11.5)

15.57

<0.001

Social Avoidancea

10.5 (13.8)

12.3 (19.9)

0.02 (22.5)

10.48

<0.001

Social Anhedoniaa

6.1 (3.4)

6.8 (4.5)

7.1 (5.1)

1.10

0.344

  1. LASSO Least Absolute Shrinkage and Selection Operator.
  2. aVariables used in the LASSO regression analyses.