Table 2 Sociodemographic, anthropometric and metabolic characteristics of participants with migraine.

From: Classifying migraine subtypes and their characteristics by latent class analysis using data of a nation-wide population-based study

 

Total (n = 125)

Class 1 (n = 65)

Class 2 (n = 42)

Class 3 (n = 18)

P-value

Age, years

45.8 ± 15.0

45.8 ± 15.9

45.3 ± 13.6

46.8 ± 15.8

0.934

Sex

0.137

 Male

50 (40.0%)

23 (35.9%)

16 (38.1%)

11 (61.1%)

 

 Female

75 (60.0%)

42 (64.6%)

26 (61.9%)

7 (38.9%)

 

Education

0.223

 Middle school or lower

16 (12.8%)

11 (16.9%)

5 (11.9%)

0 (0.0%)

 

 High school

52 (41.6%)

23 (35.4%)

18 (42.9%)

11 (61.1%)

 

 College or higher

57 (45.6%)

31 (47.7%)

19 (45.2%)

7 (38.9%)

 

BMI, kg/m2

22.60 (21.22, 23.64)

22.63 (21.02, 24.08)

22.12 (21.28, 22.95)

22.76 (22.55, 24.99)

0.276

Hypertension

27 (21.6%)

14 (21.5%)

10 (23.8%)

3 (16.7%)

0.827

Diabetes

13 (10.4%)

7 (10.8%)

6 (14.3%)

0 (0.0%)

0.314

Dyslipidemia

11 (8.8%)

3 (4.6%)

7 (16.7%)

1 (5.6%)

0.081

  1. Data are presented as the mean ± standard deviation, median (interquartile range), or n (%).
  2. BMI body mass index.
  3. Statistical method for comparison of the three groups: one-way analysis of variance for normally distributed variables; Kruskal–Wallis test for non-normally distributed variables; Chi-square or Fisher’s exact test for categorical variables.
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