Logistic regression models predicting lifetime nonmedical use of stimulants and analgesics among adolescents who reported lifetime use of alcohol or marijuana.
| Stimulants | Analgesics | |||||||
|---|---|---|---|---|---|---|---|---|
| Unadjusted Estimatesa |
Adjusted Estimatesb | Unadjusted Estimatesa |
Adjusted Estimatesb | |||||
| B (S.E.) |
Odds ratio (95% CI) |
B (S.E.) |
Odds ratio (95% CI) |
B (S.E.) |
Odds ratio (95% CI) |
B (S.E.) |
Odds ratio (95% CI) |
|
|
Future Planning |
0.12 (0.54) |
1.13 (0.39, 3.26) |
−0.37 (0.62) |
0.69 (0.20, 2.34) |
0.30 (0.52) |
1.35 (0.49, 3.74) |
−0.11 (0.59) |
0.90 (0.28, 2.83) |
|
Perceived Risk to Future Goals |
−0.80 (0.30) |
0.45 (0.25, 0.80) |
−0.90 (0.33) |
0.41 (0.21, 0.78) |
−0.82 (0.27) |
0.44 (0.26, 0.74) |
−1.01 (0.31) |
0.37 (0.20, 0.67) |
|
Positive Future Expectations |
−1.41 (0.57) |
0.24 (0.08, 0.75) |
−1.19 (0.66) |
0.31 (0.08, 1.12) |
0.07 (0.57) |
1.07 (0.35, 3.25) |
0.51 (0.65) |
1.66 (0.47, 5.94) |
| Gender | -- | -- |
1.88 (0.71) |
6.54 (1.64, 26.07) |
-- | -- |
1.72 (0.63) |
5.61 (1.63, 19.26) |
| Ethnicity | -- | -- | −0.17 (0.74) |
0.84 (0.20, 3.62) |
-- | -- | 0.30 (0.57) |
1.35 (0.44, 4.15) |
| Grade | ||||||||
| 10th | -- | -- | 0.12 (1.09) |
1.13 (0.13, 9.52) |
-- | -- | −0.16 (0.84) |
0.86 (0.17, 4.45) |
| 11th | -- | -- | 1.54 (0.93) |
4.66 (0.76, 28.65) |
-- | -- | −0.39 (0.81) |
0.68 (0.14, 3.33) |
| 12th | -- | -- | 1.38 (0.98) |
3.96 (0.58, 27.03) |
-- | -- | 0.12 (0.81) |
1.13 (0.23, 5.58) |
|
Parent education |
-- | -- | −0.24 (0.61) |
0.78 (0.24, 2.58) |
-- | -- |
−1.67 (0.53) |
0.19 (0.07, 0.54) |
a
N = 141. Results significant at the 0.05 significance level are indicated in bold.
b
N = 141. Adjusted for participants’ gender, ethnicity, grade level, and parents’ highest level of education. Results significant at the 0.05 significance level are indicated in bold. Reference groups are ‘Male’ for gender variable, ‘White’ for the ethnicity variable, ‘9th’ for the grade variable, and ‘4 year college or less’ for parent education variable.