Table 4.
Maximum alcohol consumed in month a | Number of alcohol‐related harms b | Drinking alone c | Drinking with others in person c | Drinking with others virtually c | Use of alcohol delivery services d | |
---|---|---|---|---|---|---|
Coeff. (95% CI) | IRR (95% CI) | Coeff. (95% CI) | Coeff. (95% CI) | Coeff. (95% CI) | OR (95% CI) | |
February 2020 | Ref | Ref | Ref | Ref | Ref | Ref |
May/June 2020 | −1.58 (−1.99, −1.16) | 0.65 (0.54, 0.79) | 2.15 (0.50, 3.81) | −13.80 (−17.56, −10.04) | 7.80 (5.57, 10.02) | 0.68 (0.43, 1.08) |
Analysed using linear mixed‐effects models, with results presented as a coefficient equating to the difference in the mean maximum alcohol consumed.
Analysed using negative binomial mixed‐effects models, with results presented as incidence rate ratios (IRRs).
Analysed using linear mixed‐effects models with results presented as coefficients equating to the difference in the mean proportion of consumption in each setting.
Analysed using logistic mixed‐effects models, and presented as odds ratios (ORs). Models are adjusted for covariates; full results are included in Supporting information, Table E4. Results are based on multiple imputation with estimates combined using Rubin's rules.