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. 2021 Mar 5;78:369–380. doi: 10.1016/j.trf.2021.02.020

Table 2.

Hierarchical Multiple Linear Regression Examining the Predicting Factors of an Increased Engagement in Drink Driving during COVID Restrictions: Survey 1 (n = 276).

Variables M(SD) β p B sr2
Step 1
Age 35.32(16.24) −0.162 0.007** −0.007 0.026
Step 2
Drink driving (P)a 1.32(0.71) 0.271 0.000*** 0.267 0.040
Drive after 1–2 drinks (P)a 1.79(1.02) 0.114 0.051 0.078 0.010
Certainty - general (P)a 3.51(1.29) 0.088 0.134 0.048 0.006
Certainty - personal (P)a 3.64(1.31) −0.035 0.553 −0.019 0.001
Drink driving frequency (P)a:
Pubs/clubs 1.14(0.50) 0.108 0.137 0.150 0.006
Restaurants 1.13(0.45) 0.033 0.639 0.051 0.001
Friend’s/Family’s place 1.26(0.65) 0.020 0.795 0.021 0.000
Home 1.15(0.49) 0.150 0.030* 0.214 0.012
Knowledge of RBT suspensionb 1.36(0.48) −0.014 0.781 −0.021 0.000
Others likely to increase drink driving (D)a 4.27(1.27) 0.081 0.139 0.045 0.006

Note. B = unstandardised B. BCa = bias corrected and accelerated bootstrap. CI = confidence interval. sr2 = semi partial correlation squared.

D = during COVID lockdown. P = prior to COVID lockdown (in the past 12 months).

*p < .05. **p < .01. ***p < .001.

a

Measured on a 6-point scale.

b

Yes = 1. No = 2.