Table 3.
1.AUDIT19 | 2.SMFQ14 | 3.Peers18 | 4.Peers13§ | 5.SDQ | 6.Alcohol13 | 7.Knowledge | 8.Disclose | 9.Solicit | 10.Control | |
---|---|---|---|---|---|---|---|---|---|---|
1 | 1.00 | |||||||||
2 | 0.11** | 1.00 | ||||||||
3 | 0.39** | 0.12** | 1.00 | |||||||
4 | 0.17* | 0.16** | 0.21** | 1.00 | ||||||
5 | -0.02ns | 0.11** | -0.04ns | 0.07* | 1.00 | |||||
6 | 0.18** | 0.17** | 0.13** | 0.32** | -0.01ns | 1 | ||||
7 | -0.27** | -0.29** | -0.25** | -0.26** | -0.01ns | -0.24** | 1.00 | |||
8 | -0.29** | -0.29** | -0.28** | -0.24** | -0.03ns | -0.25** | 0.71** | 1.00 | ||
9 | -0.04ns | -0.10* | -0.09* | -0.13** | 0.01ns | -0.13** | 0.42** | 0.41** | 1.00 | |
10 | -0.17** | -0.03ns | -0.19** | -0.20** | 0.02ns | -0.19** | 0.48** | 0.38** | 0.44** | 1.00 |
Mea | 9.2 | 4.9 | 2.2 | 0.8 | 2.2 | -0.003 | 28.1 | 13.5 | 13.7 | 14.2 |
SD | 5.4 | 4.5 | 1.5 | 1.1 | 0.8 | 1.1 | 5.8 | 3.4 | 2.8 | 3.6 |
Note:
ns = not significant, *p < .05, **p<.001
main variables in our model
confounder variables used to adjust our model
scales of the monitoring questionnaire
Following the approach followed by Saraceno and colleagues (2010), harmful drinking at age 13 was constructed using a Principal Component Analysis (PCA) approach. PCA extrapolates components with mean of 0 and standard deviation of 1
AUDIT: Alcohol Use Disorder Identification Test
SMFQ: Short Mood and Feeling Questionnaire
SDQ: Strengths and Difficulties Questionnaire – conduct problem subscale