Table 1.
Sociodemographic characteristics of study sample
| All users | Users who stopped | Users who stopped without prior medical input | |||
|---|---|---|---|---|---|
| N | 180 | 60 | 34 | ||
| Age: | |||||
| 18−34 | 27.5% | 41.0% | * | 41.5% | |
| 35−54 | 53.4% | 45.2% | 53.6% | ||
| 55+ | 19.1% | 13.7% | 4.9% | *** | |
| Education | |||||
| 12 years or less | 55.7% | 54.2% | 54.5% | ||
| More than 12 years | 44.3% | 45.8% | 45.5% | ||
| Sex: | |||||
| Female | 70.8% | 77.6% | 84.3% | * | |
| Male | 29.2% | 22.4% | 15.7% | ||
| Marital status | |||||
| Married | 38.3% | 34.2% | 24.9% | ** | |
| Not married | 61.7% | 65.8% | 75.1% | ||
| English language proficiency | |||||
| Poor/fair | 39.6% | 44.4% | 35.7% | ||
| Good/excellent | 60.4% | 55.6% | 64.3% | ||
| Health insurance: | |||||
| Private | 37.3% | 45.6% | 42.9% | ||
| Public | 51.5% | 40.7% | * | 37.6% | |
| None | 11.2% | 13.6% | 19.5% |
Note:
***
denotes a difference significant at p<.01
**
denotes p<.05
*
denotes p<.10.
The 34 users who stopped without medical input are a subset of the 60 who stopped.