Table 3.
Multivariate logistic regression models comparing independent associates of moderate to heavy smoking with light daily smoking and with intermittent smoking status
| Moderate to heavy daily versus light daily smokers (n = 1,661) |
Moderate to heavy daily versus intermittent smokers (n = 1,458) |
|
| Respondent characteristic | Odds ratio (95% CI) | Odds ratio (95% CI) |
| Survey year | ||
| 2003 | 1.00 | 1.00 |
| 2005 | 1.02 (0.76–1.37) | .80 (0.55–1.17) |
| Gender | ||
| Male | 1.00 | 1.00 |
| Female | 1.81 (1.30–2.52) | 1.47 (1.08–2.01) |
| Age (years) | ||
| 18–34 | 1.00 | 1.00 |
| 35–49 | .66 (0.44–1.00) | .49 (0.32–0.73) |
| 50–64 | .53 (0.33–0.84) | .46 (0.28–0.76) |
| 65+ | .87 (0.49–1.53) | 1.29 (0.68–2.41) |
| Race/ethnicity | ||
| Non-Hispanic White | 1.00 | 1.00 |
| Non-Hispanic Black | 2.60 (1.59–4.25) | 3.37 (1.79–6.37) |
| Hispanic | 6.63 (3.80–11.56) | 11.59 (6.67–20.13) |
| Non-Hispanic other | 2.68 (1.35–5.33) | 1.72 (0.85–3.48) |
| Education | ||
| Less than high school | 1.00 | 1.00 |
| High school graduate | 1.53 (0.96–2.42) | 1.59 (0.86–2.92) |
| Some college | 1.78 (1.05–3.02) | 2.59 (1.48–4.54) |
| College graduate | 2.25 (1.27–3.98) | 3.91 (2.13–7.18) |
| Income | ||
| <US$25,000 | 1.00 | 1.00 |
| $25,000 to <$50,000 | 0.86 (0.57–1.30) | 1.14(0.70–1.83) |
| $50,000 to <$75,000 | 0.95 (0.56–1.59) | 1.42 (0.87–2.33) |
| $75,000 and greater | 1.53 (0.92–2.54) | 2.16 (1.30–3.59) |
| Insurance status | ||
| No health insurance | 1.00 | 1.00 |
| Has health insurance | 1.10 (0.78–1.56) | .94 (0.62–1.43) |
| Trust cancer information from doctor | ||
| Not a lota | 1.00 | 1.00 |
| A lot | .85 (0.61–1.17) | 1.48 (1.03–2.08) |
| Mean hours of television viewing on a typical weekdayb | .92 (0.87–0.97) | |
| Health/cancer information seeking on Internet | ||
| No | 1.00 | |
| Yes | 1.01 (0.67–1.52) | |
| Intention to quitb | ||
| No | 1.00 | |
| Yes | 1.51 (1.05–2.18) | |
The following responses were included in the “not a lot” category to reflect level of trust rating: “some,” “a little,” and “not at all.”
These items were not included in this model because they were not significantly associated with smoking status at the bivariate level.