Logistic regression analysis (see Table 2) shows that the odds of consuming more alcohol decreased during the lockdown with 1.9% on average per age year of the respondent (OR = 0.981; p < 0.001). Also, a higher number of children at home increased the odds of consuming more alcohol during lockdown measures (p < 0.001): per extra child in the family, the odds increased with 22% (OR = 1.220; 95% CI: 1.146–1.298). A 3rd variable of influence was whether a respondent now works more from home compared to before the lockdown (p = 0.037). Technical unemployed respondents are 36% more likely to drink more (OR = 1.357; p = 0.013) compared to respondents at home due to tele-working. Also, the professional occupation of the respondent played a role in drinking more during the lockdown (p < 0.001), with non-healthcare workers being 40% more likely to drink compared to healthcare workers during the lockdown (OR = 1.404; p < 0.001). Students, however, were on average 46% less likely to drink more compared to healthcare workers (OR = 0.537; p < 0.001). Gender, living in a city, family situation, and educational background were variables without significant effect on the change in alcohol use.