Table 5.
Example tweets | ||||
---|---|---|---|---|
| ||||
Themes | Number of tweets | Percent among 333 tweets coded for extreme effects a | Percent among the 3,540 tweets coded as related to dabbing marijuana | Example tweets |
Physiological effects | 124 | 37% | 3.5% | |
| ||||
- Passed out or loss of consciousness | 46 | 14% | 1.3% |
|
- Respiratory effects | 30 | 9% | 0.8% |
|
- Loss of body control/inability to move | 12 | 4% | 0.3% |
|
- Nauseous/Vomiting | 10 | 3% | 0.3% |
|
- Perspiring | 6 | 2% | 0.2% |
|
- Crying/tearing up | 5 | 2% | 0.1% |
|
| ||||
Cognitive/Psychological effects | 55 | 17% | 1.6% | |
| ||||
- Confusion or distorted reality | 37 | 11% | 1.0% |
|
- Memory loss/forgetfulness | 5 | 2% | 0.1% |
|
| ||||
General (non-specific) effects | 154 | 46% | 4.4% |
|
Humorous images/videos were excluded from this sub-analysis.