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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