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Table 1 Age at onset distributions identified by Gaussian mixture analysis in bipolar disorder type 1 and type 2 and in the whole sample

From: Clinical correlates of age at onset distribution in bipolar disorder: a comparison between diagnostic subgroups

Mixture model

BIC

Model components

Mean

SD

Proportion (%)

Bipolar disorder type 1 sample (n = 224)

 M1

−1637.7

1st component

26.7

9.1

100.0

 M2

−1599.4

1st component

22.6

4.8

66.9

 

2nd component

35.1

10.1

33.1

 M3

−1611.0

1st component

18.7

3.0

27.1

 

2nd component

25.6

4.4

45.7

 

3rd component

36.6

10.1

27.2

 M4

−1624.0

1st component

17.9

2.6

23.1

 

2nd component

23.8

3.1

28.2

 

3rd component

28.8

5.9

33.4

 

4th component

40.9

9.9

15.3 

Bipolar disorder type 2 sample (n = 279)

 M1

−2218.4

1st component

30.6

12.6

100.0

 M2

−2158.4

1st component

20.9

4.1

44.0

 

2nd component

38.2

11.8

56.0

 M3

−2163.2

1st component

19.3

3.3

33.1

 

2nd component

28.4

6.1

33.7

 

3rd component

44.0

11.0

33.2

 M4

−2177.7

1st component

17.6

2.5

22.8

 

2nd component

23.0

2.8

24.7

 

3rd component

32.2

4.4

22.7

 

4th component

45.6

10.3

29.8

Total bipolar disorder sample (n = 515)

 M1

−3986.7

1st component

29.0

11.5

100.0

 M2

−3854.9

1st component

21.9

4.6

55.0

 

2nd component

37.6

11.5

45.0

 M3

−3856.0

1st component

19.2

3.2

28.9

 

2nd component

26.5

5.6

40.6

 

3rd component

41.5

11.2

30.6

 M4

−3868.3

1st component

17.8

2.6

22.8

 

2nd component

23.3

3.1

28.0

 

3rd component

31.1

5.1

24.0

 

4th component

43.4

10.9

25.2

  1. Best fitting mixture models are typed in italics
  2. M model, BIC Bayesian information criteria, SD standard deviation