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Table 4 Results from bivariate and multivariate analyses using logistic regression modeling to adjust for possible confounders

From: Measuring substance use in the club setting: a feasibility study using biochemical markers

Predictor variables

Bivariate analyses

Multivariate analyses

 

χ 2 (d.f.)

O.R.

95% C.I.

χ 2 (d.f.) a

O.R.

95% C.I.

D.V.: Illicit drug use (yes vs. no) b

      

BAC level (≥ 0.1% vs. < 0.1%)

7.66(1)**

2.65

1.30-5.40

5.63(1)*

2.53

1.18-5.43

Risky alcohol consumption (yes vs. no)

2.47(1)

2.14

0.81-5.63

1.84(1)

2.17

0.71-6.61

Gender (males vs. females)

2.40(1)

1.79

0.85-3.78

1.35(1)

1.59

0.72-3.45

Clubbing (≥ 1 times/week vs. < 1-2 times/month)

1.22(1)

1.46

0.75-2.85

0.21(1)

1.18

0.57-2.46

Time (2 a.m. or later vs. before 2 a.m.)

2.76(1)

1.79

0.89-3.58

2.88(1)

1.89

0.91-3.94

Age (≥ 25 years vs. < 25 years)

0.02(1)

0.95

0.49-1.83

0.34(1)

0.81

0.40-1.36

Relationship status (no relationship vs. relationship)

0.71(1)

0.75

0.39-1.46

2.32(1)

0.58

0.28-1.17

D.V.: BAC level (≥ 0.1% vs. < 0.1%)

      

Illicit drug use (yes vs. no)

7.66(1)**

2.65

1.30-5.40

5.79(1)*

2.55

1.19-5.45

Risky alcohol consumption (yes vs. no)

13.51(1)***

2.57

1.54-4.30

8.50(1)**

2.28

1.31-3.96

Gender (males vs. females)

10.58(1)**

2.00

1.31-3.05

7.49(1)**

1.88

1.19-2.94

Clubbing (≥ 1 times/week vs. < 1-2 times/month)

11.83(1)**

2.11

1.38-3.25

4.05(1)*

1.62

1.01-2.60

Time (2 a.m. or later vs. before 2 a.m.)

0.96(1)

1.22

0.82-1.82

0.28(1)

1.12

0.73-1.72

Age (≥ 25 years vs. < 25 years)

0.54(1)

1.05

0.71-1.56

0.89(1)

1.24

0.80-1.92

Relationship status (no relationship vs. relationship)

3.06(1)

1.43

0.96-2.14

0.67(1)

1.20

0.77-1.87

  1. aWald χ2 statistics based on logistic regression modeling
  2. bDV is the dependent variable
  3. *p < 0.05
  4. **p < 0.01
  5. ***p < 0.001