Table 3.
Ordinal logistic regression results for work-related illicit drug use
| Predictors | Frequency of illicit drug use before work | Frequency of illicit drug use during the workday | Frequency of illicit drug impairment during the workday | Frequency of illicit drug use after work |
| Gender, male | 0.71* | 0.58 | 1.03** | 0.16 |
| Race, minority | 0.08 | 0.05 | 0.07 | −0.06 |
| Age | −0.04* | −0.04* | −0.05** | −0.03** |
| Education | −0.03 | −0.07 | −0.09 | −0.12* |
| Total family income | −0.10 | −0.03 | −0.01 | −0.04 |
| Work hours per week | −0.01 | −0.01 | −0.02 | 0.00 |
| Weekend work | 0.64 | −0.01 | 0.29 | 0.10 |
| Seasonal work | −0.08 | 0.28 | 0.19 | −0.16 |
| Deviance proneness | 1.11*** | 1.14*** | 1.03*** | 1.29*** |
| Workplace descriptive norms | 0.29* | 0.27* | 0.23* | 0.00 |
| Workplace injunctive norms | 1.07*** | 1.18*** | 1.28*** | 1.23*** |
| Model χ2 (11 df) | 160.56*** | 149.05*** | 192.15*** | 196.62*** |
Notes: n = 2,430. All coefficients are unstandardized. The coefficients for income have been rescaled to represent increments of $10,000.
p ≤ .05;
p ≤ .01;
p ≤ .001.