Finally, Table 7 presents pooled analyses of associations between drug use and six core demographic variables, with covariate adjustments via multiple logistic regression terms for each country (results from this pooled analysis are consistent with associations observed in country-level analyses; details of country-specific data are available upon request). Some demographic variables were consistently related to drug use of all kinds (Table 7). In particular, males were more likely than females to have used all drug types and younger adults were more likely than older adults to have used all drug types. As noted above, these two associations were consistent across drug types and countries. Income was positively related to lifetime use of both legal and illegal drugs. Marital status was also related to tobacco, cannabis, and cocaine use, but not alcohol use, (with the never married and previously married having higher odds of lifetime use than the currently married). Although education was related to drug use, the relationship was not consistent across drug types. Education was positively related to lifetime alcohol use, but negatively related to lifetime tobacco use, while education was unrelated to lifetime illegal drug use.
