Table 4.
Logistic regression analyses of associations between ordinal levels of alcohol consumptiona and negative school-related outcomes.
| Low GPAb | High number of days missed from schoolb | High number of hours missed from schoolb | ||||
|---|---|---|---|---|---|---|
| OR | 95% CI | OR | 95% CI | OR | 95% CI | |
| CRUDE MODEL | ||||||
| Never consumed alcohol | (Base) | (Base) | (Base) | |||
| Non-consumption | 1.42** | 1.14, 1.76 | 1.61** | 1.19, 2.19 | 1.74** | 1.25, 2.42 |
| 0.1–19.9th percentile | 1.21 | 0.96, 1.52 | 1.59** | 1.14, 2.21 | 1.88*** | 1.32, 2.67 |
| 20–49.9th percentile | 1.99*** | 1.59, 2.48 | 1.97*** | 1.49, 2.62 | 2.64*** | 1.97, 3.55 |
| 50–79.9th percentile | 3.24*** | 2.50, 4.21 | 2.77*** | 2.12, 3.64 | 4.03*** | 3.04, 5.34 |
| 80–89.9th percentile | 3.28*** | 2.15, 5.01 | 3.77*** | 2.70, 5.27 | 5.09*** | 3.61, 7.18 |
| 90–100th percentile | 2.97*** | 2.01, 4.40 | 3.05*** | 2.17, 4.29 | 6.05*** | 4.37, 8.40 |
| FULLY ADJUSTEDc | ||||||
| Never consumed alcohol | (Base) | (Base) | (Base) | |||
| Non-consumption | 1.35** | 1.08, 1.69 | 1.36 | 0.99, 1.88 | 1.49* | 1.06, 2.10 |
| 0.1–19.9th percentile | 1.34* | 1.05, 1.72 | 1.30 | 0.91, 1.84 | 1.60* | 1.12, 2.30 |
| 20–49.9th percentile | 2.01*** | 1.58, 2.56 | 1.50** | 1.11, 2.03 | 1.98*** | 1.45, 2.72 |
| 50–79.9th percentile | 3.14*** | 2.37, 4.17 | 1.83*** | 1.36, 2.46 | 2.83*** | 2.09, 3.83 |
| 80–89.9th percentile | 2.82*** | 1.82, 4.38 | 2.50*** | 1.74, 3.59 | 3.50*** | 2.43, 5.04 |
| 90–100th percentile | 2.62*** | 1.75, 3.94 | 2.06*** | 1.42, 2.98 | 4.01*** | 2.81, 5.71 |
N = 7,874 (girls n = 4,121, boys, n = 3,753).
Presented alcohol level consumption percentiles are calculated among those adolescents who report to have an actual alcohol consumption.
p-value for trend in the association between alcohol variable and school-related variable: all p < 0.001.
Adjusted for the confounding of age, gender, SES and mental health problems.
Bold fonts denotes statistically significant associations:
p < 0.001,
p < 0.01,
p < 0.05.