Table 3 Participant characteristics
Age | Education level | Profession | Use of substances | PrEP status | |
|---|---|---|---|---|---|
E1 | 30 | Bac* + 5 | Socio-cultural animator | 0 | Daily |
E2 | 49 | CAP** | Unemployed | THC | Daily |
E3 | 30 | Bac + 5 | Physiotherapist | Tobacco MDMA | Daily |
E4 | 45 | Bac + 2 | Self-employed | 0 | Daily |
E5 | 28 | Bac + 9 | Medical doctor | Tobacco Alcohol | event driven |
E6 | 46 | Bac + 5 | Teacher | Alcohol | event driven |
E7 | 38 | Bac + 4 | Company director | Tobacco | Daily |
E8 | 52 | Bac + 9 | Unemployed | 0 | Daily |
E9 | 41 | Bac | Computer programmer | Alcohol | Daily |
E10 | 31 | Bac + 9 | Veterinary surgeon | Alcohol E cigarette | Daily |
E11 | 28 | Bac + 2 | Building draftsperson | Alcohol | event driven |
E12 | 49 | Bac + 5 | Project manager | Alcohol | event driven |