Table 5 Logistic regression analysis of risk indicators for current alcohol and illicit drug use comorbidity among young people from the Kenyan coast

Sex

 Female

Ref

Ref

Ref

Ref

Ref

Ref

 Male

7.21*** (3.37, 15.43)

9.40*** (4.25, 20.80)

3.40** (1.05, 11.04)

4.29** (1.30, 14.21)

9.67*** (3.39, 27.60)

14.12*** (4.58, 43.53)

Education

Overall p = 0.14

 Secondary

Ref

Ref

–

–

–

–

 Tertiary

1.72* (0.89, 3.33)

1.62 (0.79, 3.31)

–

–

–

–

 Primary

1.43 (0.75, 2.72)

2.66*** (1.31, 5.43)

–

–

–

–

 None^a

1.00

1.00

–

–

–

–

Asset index

1.33*** (1.13, 1.57)

1.46*** (1.21, 1.77)

–

–

1.47*** (1.19, 1.80)

1.80*** (1.39, 2.33)

Negative life events

Overall p = 0.01

Overall p = 0.01

Overall p = 0.03

 None^a

Ref

Ref

1.00

1.00

Ref

Ref

 1–5 events

5.13* (0.69, 38.17)

5.98 (0.78, 45.60)

Ref

Ref

5.68* (0.75, 42.82)

6.52 (0.81, 52.09)

 6+ events

9.70** (1.30, 72.48)

17.33*** (2.23, 134.67)

5.51** (1.51, 20.10)

6.44*** (1.74, 23.83)

10.24** (1.32, 79.32)

17.40*** (2.04, 148.07)

Parent living status

Overall p = 0.10

Overall p = 0.01

 Both alive

2.41* (0.92, 6.28)

3.72** (1.34, 10.30)

–

–

Ref

Ref

 One alive

2.43* (0.89, 6.65)

3.35** (1.16, 9.70)

–

–

2.32** (1.19, 4.52)

2.94*** (1.34, 6.41)

 Both dead^a

Ref

Ref

–

–

1.00

1.00

n of the final model

800

377

393

Variance explained (R²)

19.1%

12.4%

24.6%