Table 2.
Multivariable analysis of factors associated with methamphetamine use among people who inject drugs in Iran (2019–2020)
| Variables | Adjusted odds ratio (95% CI) | P-value |
|---|---|---|
| History of homelessness (L12Ma) | ||
| Yes | 1.57 (1.77, 2.10) | 0.001 |
| No | Ref | |
| Age at first drug use (any type) | ||
| < 18 years old | 1.40 (1.05, 1.87) | 0.020 |
| ≥ 18 years old | Ref | |
| Duration of injectionab | ||
| ≥ 10 years | 1.47 (1.11, 1.95) | < 0.001 |
| < 10 years | Ref | |
| Non-injection illicit opioids use (L3Mc) | ||
| Yes | 7.18 (4.93, 10.47) | < 0.001 |
| No | Ref | |
| Injecting illicit opioids use (L3Mc) | ||
| Yes | 2.98 (2.03, 4.36) | < 0.001 |
| No | Ref | |
| Multiple sex partners (L12Ma) | ||
| Yes | 1.60 (1.50, 2.73) | < 0.001 |
| No | Ref | |
| Region | ||
| Central | 1.15 (0.70, 1.89) | 0.585 |
| North | 5.42 (2.92, 10.03) | < 0.001 |
| South | 2.95 (2.04, 4.27) | < 0.001 |
| East | 24.43 (15.62, 38.22) | < 0.001 |
| West | Ref | |
aLast 12 months
bWhile this variable showed collinearity with age, we retained duration of injection because it represents a more direct measure of cumulative exposure to injection-related risks and environmental vulnerabilities that can influence methamphetamine use patterns. Unlike chronological age, injection career length better captures the accumulated effects of high-risk injection environments, unsafe practices, and structural vulnerabilities that are known to shape
cLast three months