Table 4.
Trends in co-use, drinking, and harms by age
| AGE 18-29 (n = 679) | AGE 30-49 (n = 1,377) | AGE 50+ n = 3,291 | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2014 | 2015 | 2016 | Trend P* | 2014 | 2015 | 2016 | Trend P | 2014 | 2015 | 2016 | Trend P | |
| Any cannabis use, past 12 months (%) | 39.7 | 38.5 | 49.4 | 0.061 | 28.3 | 26.7 | 31.0 | ns | 15.1 | 20.9 | 23.6 | 0.001 |
| Non-cannabis user/non-drinker (%) | 22.9 | 23.1 | 17.5 | (ref) | 25.0 | 21.8 | 24.7 | (ref) | 32.2 | 28.5 | 29.4 | (ref) |
| Non-cannabis user/drinker (%) | 37.9 | 38.4 | 33.1 | ns | 46.7 | 51.7 | 44.7 | ns | 52.3 | 50.7 | 47.1 | ns |
| Cannabis user/non-drinker (%) | 4.0 | 3.1 | 4.6 | ns | 3.5 | 4.7 | 4.8 | ns | 3.8 | 3.9 | 6.2 | 0.056 |
| Concurrent cannabis/alcohol user (%) | 13.9 | 14.3 | 18.7 | ns | 10.3 | 8.0 | 10.5 | ns | 5.3 | 7.8 | 6.6 | ns |
| Simultaneous cannabis/alcohol user (%) | 21.4 | 21.2 | 26.1 | ns | 14.5 | 13.8 | 15.2 | ns | 6.1 | 9.0 | 10.7 | 0.006 |
| Current drinker (%) | 73.7 | 73.8 | 77.8 | ns | 71.5 | 73.7 | 70.6 | ns | 64.1 | 67.7 | 64.5 | ns |
| Average # drinking days, past 30 days | 7.9 (0.6) | 8.0 (0.9) | 6.3 (0.8) | 0.038 | 8.2 (0.8) | 8.4 (0.8) | 8.5 (0.7) | ns | 9.6 (0.5) | 9.6 (0.5) | 10.1 (0.6) | ns |
| Average # drinks/drinking day, past 30 days | 2.6 (0.2) | 2.3 (0.1) | 2.3 (0.2) | ns | 2.3 (0.2) | 2.4 (0.2) | 2.1 (0.2) | ns | 1.7 (0.1) | 1.8 (0.2) | 1.8 (0.1) | ns |
| Average volume, past 30 days | 24.1 (4.7) | 18.7 (2.9) | 14.1 (1.6) | 0.006 | 23.2 (4.5) | 25.2 (6.4) | 23.0 (3.5) | ns | 19.1 (2.2) | 19.4 (1.8) | 21.2 (2.2) | ns |
| Frequency 5+, past 30 days | 1.2 (0.2) | 1.0 (0.2) | 0.9 (0.2) | ns | 1.3 (0.4) | 0.9 (0.2) | 0.9 (0.2) | ns | 0.3 (0.1) | 0.6 (0.2) | 0.6 (0.2) | ns |
| Alcohol-related harms at home, past 12 months (%) | 3.5 | 3.3 | 3.1 | ns | 3.0 | 3.1 | 2.7 | ns | 1.9 | 2.4 | 2.3 | 0.018 |
| Health harms (%) | 1.2 | 1.0 | 0.9 | ns | 0.9 | 1.1 | 0.8 | ns | 0.3 | 0.6 | 0.6 | 0.002 |
| Work harms (%) | 7.2 | 7.3 | 6.6 | ns | 5.1 | 7.2 | 4.1 | ns | 1.7 | 2.8 | 2.1 | ns |
| Financial harms (%) | 6.1 | 5.2 | 6.7 | ns | 4.2 | 4.8 | 4.9 | ns | 1.8 | 3.4 | 1.6 | ns |
| Morning drink (%) | 3.0 | 1.8 | 1.9 | ns | 1.7 | 2.6 | 2.0 | ns | 2.1 | 0.4 | 0.7 | ns |
| Guilt/remorse (%) | 12.1 | 17.5 | 16.7 | ns | 9.4 | 12.7 | 8.8 | ns | 3.6 | 4.6 | 3.8 | ns |
| Blackout (%) | 20.9 | 18.2 | 19.9 | ns | 8.1 | 7.3 | 6.8 | ns | 1.3 | 2.3 | 3.9 | 0.004 |
| Injury (%) | 2.8 | 3.2 | 1.5 | 0.055 | 2.3 | 2.1 | 0.4 | 0.065 | 0.2 | 0.1 | 0.0003 | ns |
| Cut down (%) | 3.7 | 3.2 | 1.8 | ns | 4.1 | 3.7 | 3.1 | ns | 1.1 | 3.6 | 2.0 | ns |
| Alcohol-related harms at home, past 12 months (%) | 3.2 | 4.4 | 0.9 | 0.053 | 3.5 | 4.4 | 1.2 | 0.010 | 0.6 | 0.9 | 0.9 | ns |
| Health harms (%) | 4.7 | 11.1 | 6.2 | ns | 4.4 | 7.1 | 5.3 | ns | 2.3 | 2.0 | 4.2 | ns |
| Work harms (%) | 2.0 | 3.5 | 1.3 | ns | 0.9 | 2.0 | 0.6 | ns | 0.2 | 0.2 | 0.1 | ns |
| Financial harms (%) | 2.2 | 5.3 | 1.7 | ns | 2.2 | 1.7 | 0.5 | 0.024 | 0.8 | 0.5 | 0.6 | ns |
*
From multivariable regression models adjusting for gender, race/ethnicity, education, employment, marital status, and cannabis use