Multinomial logistic regression model of predictors for three-category SRAT in 121 Aboriginal smokers in regional NSW, in 2014
| Independent variable | N | Logit 1 adjusted OR (95% CI) category 1 vs category 3 SRAT | Logit 2 adjusted OR (95% CI) category 2 vs category 3 SRAT |
|---|---|---|---|
| Age (nominal) | 121 | 1.04 (0.97 to 1.12) | 1.0 (0.94 to 1.07) |
| Gender | |||
| Male | 58 | 3.51 (1.09 to 11.34)* | 1.69 (0.66 to 4.31) |
| Female | 63 | – | – |
| Age of uptake of regular smoking | |||
| <16 years | 53 | 4.64 (1.42 to 15.15)* | 2.99 (1.13 to 7.91)* |
| 16 years or over | 68 | – | – |
| Influence ‘to be cool’ | |||
| Yes | 38 | 0.16 (0.3 to 0.91)* | 2.17 (0.74 to 6.41) |
| No | 83 | – | – |
| Influence ‘with alcohol’ | |||
| Yes | 49 | 2.88 (0.82 to 10.18) | 3.66 (1.32 to 10.2)* |
| No | 72 | – | – |
| Influence ‘with cannabis’ | |||
| Yes | 25 | 0.33 (0.05 to 2.11) | 1.52 (0.48 to 4.84) |
| No | 96 | – | – |
| SUTS | |||
| Low-moderate | 73 | 0.28 (0.09 to 0.91)* | 0.58 (0.22 to 1.53) |
| Strong | 48 | – | – |
*p<0.05; **p<0.01; ***p<0.001.
NSW, New South Wales; SRAT, Smoking Risk Assessment Target; SUTS, Strength of Urges to Smoke.