Table 2 Demographic and clinical characteristics of clinical sub-cohorts.

From: Taking a look at your speech: identifying diagnostic status and negative symptoms of psychosis using convolutional neural networks

a

Demographics of SSD patients with sub-median average negative PANSS scores against SSD patients with above-median average negative PANSS scores.

Category

 

Sub-median average negative PANSS score (n = 97)

Above-median average negative PANSS score (n = 82)

Statistics

Age

 Years

M

(SD)

27.4 (7.04)

28.27 (11.51)

F = 0.379, p = 0.539

Sex

 Male

n (%)

70 (72.16)

66 (80.49)

X2 = 1.2613, p = 0.2614

Clinical scores

 N1

M

(SD)

1.39 (0.67)

4.23 (1.28)

F = 361, p < 0.001a

 N1, N4, N6

M

(SD)

4.26 (1.56)

12.11 (3.45)

F = 404.6, p < 0.001a

b

Demographics of SSD patients with a N1 score ≤3 against SSD patients with a N1 score >3

Category

 

Mildly ill patients (PANSS N1 score ≤ 3, n = 119)

Severely ill patients (PANSS N1 score > 3, n = 60)

Statistic

Age

 Years

M

(SD)

26.98 (7.18)

29.38 (12.44)

F = 2.632, p = 0.107

Sex

 Male

n (%)

88 (73.95)

48 (80)

X² = 0.50288, p = 0.4782

Clinical scores

 N1

M

(SD)

1.62 (0.81)

4.82 (0.91)

F = 567.6, p < 0.001a

 N1, N4, N6

M

(SD)

5.18 (2.46)

13.15 (3.43)

F = 318.2, p < 0.001a

  1. M mean, SD standard deviation, PANSS positive and negative syndrome scale, NOS not otherwise specified, FEP first episode psychosis, CHR clinical high risk.
  2. aIndicates p value < 0.001.
Back to article page