Table 2 Results from ordinal logistic regression predicting substance use in adolescents given demographic and socio-economic characteristics
From: Family management risk and protective factors for adolescent substance use in South Africa
Variable | Â | Substance | Odds (95% CI) | Model Fit | p-value |
|---|---|---|---|---|---|
Gender |  | Cannabis | 5.035 (1.012–25.05) | χ2(1) = 3.9 | 0.048 |
Age |  | Cannabis | 0.738 (0.536–1.016) | χ2(1) = 3.968 | 0.046 |
Ethnicity | Â | Â | Â | Â | Â |
|  | Coloured versus white | Alcohol | 15.637 (2.880–84.9) | χ2(1) = 10.149 | 0.001 |
|  | Coloured versus black | Alcohol | 13.578 (2.763–66.735) | χ2(1) = 10.310 | 0.001 |
Parental Employment | Maternal | Â | Â | Â | Â |
|  | Unemployed versus self employed | Cannabis | 15.449 (1.398–170.8) | χ2(1) = 4.987 | 0.026 |
|  | Full time employed versus self employed | Cannabis | 12.764 (1.331–122.4) | χ2(1) = 4.876 | 0.027 |
|  | Part time employed versus self employed | Illicit | 28.888 (1.251–66.18) | χ2(1) = 4.409 | 0.036 |