Table 2.
Country-level linear regression analyses of the predictors of duration of injecting among PWID and the age profile of PWID (logit transformed)
|
Duration of injecting |
Percentage of PWID who are young |
|||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Univariable analysis (n=68) |
Multivariable analysis (n=53) |
Univariable analysis (n=60) |
Multivariable analysis (n=NA) |
|||||||
| n | Coefficient (95% CI) | p value | Coefficient (95% CI) | p value | n | Coefficient (95% CI) | p value | Coefficient (95% CI) | p value | |
| Urban population growth | 66 | −1·25 (−1·86 to −0·63) | 0·0001 | −1·06 (−2·05 to −0·07) | 0·036 | 60 | −0·04 (−0·15 to 0·07) | 0·486 | .. | .. |
| Youth unemployment | 66 | 0·06 (−0·02 to 0·14) | 0·165 | .. | .. | 59 | 0·00 (−0·01 to 0·02) | 0·957 | .. | .. |
| GDP (per US$1000 increase) | 65 | 0·12 (0·07 to 0·17) | <0·0001 | 0·11 (0·04 to 0·18) | 0·002 | 59 | −0·01 (−0·02 to 0·01) | 0·329 | .. | .. |
| Gini coefficient (per score increase) | 65 | −0·11 (−0·28 to 0·06) | 0·206 | .. | .. | 59 | 0·00 (−0·03 to 0·04) | 0·881 | .. | .. |
| Opioid substitution therapy coverage (per % increase in coverage) | 55 | 0·06 (0·03 to 0·09) | 0·001 | 0·02 (−0·02 to 0·05) | 0·320 | 51 | −0·01 (−0·01 to 0·00) | 0·121 | .. | .. |
| Percentage of PWID who are women | 63 | 0·14 (0·05 to 0·24) | 0·004 | −0·01 (−0·13 to 0·12) | 0·914 | 53 | 0·00 (−0·02 to 0·02) | 0·843 | .. | .. |
| Proportion of the general population aged 15–24 years | 64 | −0·59 (−0·86 to −0·31) | <0·0001 | 0·02 (−0·40 to 0·55) | 0·928 | 57 | −0·01 (−0·06 to 0·06) | 0·704 | .. | .. |
n refers to number of countries. The percentage of PWID who are young variable was logit transformed. GDP=gross domestic product. NA=not applicable. PWID=people who inject drugs.