Table 2.
Relationships between types of alcohol products consumed, costs per unit of alcohol for each product type and percentage of children having experienced negative alcohol-related outcomes
| % consuming | Drink outside (streets, parks, shops) | Violence when drunk | Alcohol-related regretted sex | Tend to forget things after drinking | Price per unit of alcohol (£) | ||||||||||||
| Drink product | drink type | % | OR | 95% CIs | % | OR | 95% CIs | % | OR | 95% CIs | % | OR | 95% CIs | n | Mean | 95% CIs | Lowest |
| Alcopops | 50.72 | 40.15 | 1.02 | 0.92-1.14 | 30.40 | 0.90 | 0.80-1.00 | 14.58 | 1.15 | 0.99-1.34 | 49.90 | 1.21 | 1.09-1.34 | 24 | 0.70 | 0.61-0.78 | 0.33 |
| Beer cans or bottles | 56.35 | 44.53 | 1.57 | 1.41-1.75 | 37.74 | 1.97 | 1.75-2.22 | 15.61 | 1.45 | 1.23-1.70 | 47.91 | 1.03 | 0.93-1.14 | 26 | 0.37 | 0.34-0.41 | 0.28 |
| Wine | 26.62 | 34.10 | 0.72 | 0.63-0.81 | 31.17 | 0.98 | 0.86-1.11 | 16.01 | 1.28 | 1.08-1.52 | 48.22 | 1.04 | 0.92-1.16 | 25 | 0.37 | 0.34-0.40 | 0.23 |
| Spirits | 48.43 | 48.63 | 2.05 | 1.84-2.28 | 41.35 | 2.47 | 2.20-2.77 | 18.28 | 2.16 | 1.84-2.54 | 54.21 | 1.68 | 1.51-1.87 | 29 | 0.33 | 0.30-0.35 | 0.21 |
| Cider cans or bottles | 22.11 | 49.81 | 1.69 | 1.49-1.91 | 37.90 | 1.44 | 1.27-1.64 | 17.02 | 1.39 | 1.17-1.66 | 51.01 | 1.19 | 1.05-1.35 | 23 | 0.28 | 0.24-0.31 | 0.15 |
| Large value cider bottles | 12.71 | 71.56 | 4.62 | 3.91-5.47 | 50.48 | 2.53 | 2.16-2.96 | 24.02 | 2.27 | 1.87-2.75 | 60.79 | 1.85 | 1.58-2.16 | 22 | 0.17 | 0.16-0.19 | 0.11 |
| P (correlation)$ | <0.01 | <0.01 | <0.01 | <0.05 | <0.001# | ||||||||||||
$P relates to correlation between percentage experiencing each negative alcohol-related outcome by drink type and mean price per unit of alcohol by drink type. Correlations use Spearman's (one tailed) tests to examine the hypothesis that consumption of lower priced drinks are related to greater percentages of consumers experiencing harms. Odds ratios (OR) and 95% confidence intervals (95% CIs) measure the relative increase in odds of having experienced each negative alcohol-related outcome associated with being a consumer of each drink product. As individuals often were consumers of more that one drink product the same individual can appear in the analysis of more than one drink product type. #Differences between prices of each product utilises ANOVA.