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

Table 3.

Hierarchical Multiple Linear Regression Examining the Predicting Factors of the Engagement in Drink Driving during COVID Restrictions: Survey 2 (n = 299).

Variables M(SD) β p B sr2
Step 1
Age 34.07(14.37) −0.080 0.166 −0.003 0.006
Step 2
Drink driving (P)a 1.34(0.73) 0.399 0.000*** 0.334 0.071
Drive after 1–2 drinks (P)a 1.89(1.13) −0.005 0.917 −0.003 0.000
Drink driving frequency (P):a
Pubs/clubs 1.11(0.40) 0.053 0.291 0.083 0.002
Restaurants 1.11(0.42) 0.052 0.288 0.075 0.002
Friend’s/Family’s place 1.32(0.75) 0.990 0.284 0.001 0.000
Home 1.17(0.61) 0.390 0.000*** 0.390 0.080
Knowledge of RBT suspensionb 1.35(0.48) 0.019 0.630 0.025 0.000
Certainty - general (D)a 2.62(1.19) 0.004 0.947 0.002 0.000
Certainty - personal (D)a 2.81(1.41) −0.021 0.708 −0.009 0.000
Others likely to increase drink driving (D)a 4.38(1.20) 0.008 0.835 0.004 0.000
Increase in drink driving (D)c 1.94(0.44) 0.264 0.000*** 0.370 0.052
Drinking frequency (P)a 4.26(1.28) 0.049 0.427 0.023 0.001
Drinking frequency (D)d 3.35(1.48) −0.056 0.369 −0.023 0.001

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.

c

Decreased = 1. Stayed the same = 2. Increased = 3.

d

Measured on a 5-point scale.