Table 4 Predictors of alexithymia

Model 1

 Intercept ^a

55.58

3.72

14.94

48.25

62.91

 < 0.001

 Age

 − 0.09

0.13

 − 0.71

 − 0.35

0.16

0.477

SSS category: no to minimal ^a

 SSS: low

0.90

2.10

0.43

 − 3.24

5.04

0.669

 SSS: medium

5.46

2.20

2.48

1.12

9.79

0.014

 SSS: high

5.61

2.28

2.46

1.12

10.11

0.015

 SSS: very high

9.85

2.17

4.54

5.57

14.13

 < 0.001

BRCS category: low ^a

 BRCS: medium

 − 3.83

1.32

 − 2.89

 − 6.44

 − 1.22

0.004

TMD category: no risk ^a

 TMD risk

0.38

1.90

0.20

 − 3.36

4.13

0.841

OBC grades: low risk ^a

 OBC: high risk

0.37

1.33

0.28

 − 2.26

3.01

0.780

Gender

 Female ^a

 Male

 − 3.93

5.15

 − 0.76

 − 14.07

6.22

0.446

Age × gender: interaction

 Age × gender

0.140

0.19

0.72

 − 0.24

0.52

0.470

Model 2

 Constant

51.81

3.09

16.74

45.71

57.89

0

 SSS score

0.58

0.09

6.59

0.40

0.75

 < 0.001

 Age

0.08

0.10

0.75

 − 0.12

0.27

0.455

 Female gender

 − 0.86

1.19

 − 0.73

 − 3.19

1.47

0.468

Income = unemployed ^a

 Income ≤ 1,500,000 L.L

 − 1.97

1.93

 − 1.02

 − 5.76

1.83

0.309

 Income = 1,500,000–3,000,000 L.L

 − 4.25

1.65

 − 2.57

 − 7.49

 − 0.99

0.011

 Income = 3,000,000–4,500,000 L.L

 − 5.23

2.08

 − 2.51

 − 9.33

 − 1.13

0.013

 Income = 4,500,000–10,000,000 L.L

 − 6.16

1.95

 − 3.16

 − 9.99

 − 2.32

0.002

 Income ≥ 10,000,000 L.L

 − 1.40

2.00

 − 0.70

 − 5.34

2.54

0.485