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Table 1 Participant demographics

From: Supra-second interval timing in bipolar disorder: examining the role of disorder sub-type, mood, and medication status

Baseline characteristic

Controls

(n = 6)

Bipolar type I

(n = 16)

Bipolar type II

(n = 8)

p-value

Age

   

0.948

 Mean (SD)

37.2 (10.3)

37.2 (13.5)

35.5 (12.1)

 

Sex

   

0.212

 Female

3 (50%)

13 (81.25%)

7 (87.50%)

 

 Male

3 (50%)

3 (18.75%)

1 (12.50%)

 

Race

   

0.471

 White

4 (66.67%)

12 (75%)

6 (75%)

 

 Black/African American

0 (0%)

3 (18.75%)

0 (0%)

 

 Asian

1 (16.67%)

0 (0%)

1 (12.50%)

 

 Other

1 (16.67%)

1 (6.25%)

1 (12.50%)

 

Education

   

0.138

 No high school

0 (0%)

2 (12.50%)

0 (0%)

 

 High school

0 (0%)

5 (31.25%)

3 (37.50%)

 

 Associate’s/bachelor’s

3 (50%)

7 (43.75%)

5 (62.50%)

 

 Post-graduate

3 (50%)

2 (12.50%)

0 (0%)

 

Handedness

   

0.126

 Right

5 (83.33%)

16 (100%)

8 (100%)

 

 Left

1 (16.67%)

0 (0%)

0 (0%)

 
  1. A one-way ANOVA was used to assess differences in continuous variables, while a Chi-square analysis was used to assess differences between categorical variables