Table 2 Multivariate analyses of perceived toxicity and perceived health risks of two combustible potentially reduced exposure products (n = 177 smokers).
Predictor variable | Perceived toxicity of Advance and Eclipse | Perceived health risk of Advance and Eclipse | ||||||||
---|---|---|---|---|---|---|---|---|---|---|
Linear regression | Logistic regression | Linear regression | Logistic regression | |||||||
Amount of toxins (0–10) | Switching would reduce exposure to toxin | All or most of toxins have been reduced | Amount of health risk (0–10) | Switching would reduce chance of cancer | ||||||
Coefficient | p Value | OR | p Value | OR | p Value | Coefficient | p Value | OR | p Value | |
Health information box | 0.128 | NS | 1.042 | NS | 0.688 | 0.054 | 0.444 | 0.006 | 0.756 | 0.039 |
Advertisement order | 0.053 | NS | 1.421 | 0.032 | 0.736 | NS | −0.058 | NS | 1.030 | NS |
Brand | −0.608 | <0 | 1.029 | NS | 1.215 | NS | −0.308 | 0.055 | 1.207 | NS |
Gender | −0.088 | NS | 1.255 | NS | 1.688 | 0.080 | −0.241 | NS | 1.755 | 0.065 |
Race/ethnicity | 0.044 | NS | 0.819 | NS | 1.739 | 0.075 | 0.034 | NS | 1.013 | NS |
Education (1–4)* | −0.136 | NS | 0.996 | NS | 0.645 | 0.015 | −0.083 | NS | 0.858 | NS |
Age* | 0.017 | NS | 0.996 | NS | 0.966 | <0 | 0.014 | NS | 0.983 | 0.055 |
NS, not significant.
*Education and age were modelled as continuous variables. Coding for dichotomous variables was as follows: health information box (0, no; 1, yes); advertisement order (0, first; 1, second); brand (0, Advance; 1, Eclipse); gender (0, female; 1, male); race/ethnicity (0, white; 1, minority).