TABLE 2.
Multiple Ordinal Logistic Regression: e-Cigarette Use*
Predictor | OR | 95% CI | p |
---|---|---|---|
Age | 0.92 | [0.87, 0.97] | .001 |
Race/ethnicity | |||
White | 3.27 | [1.59, 6.70] | .001 |
Other | 1.00 | ||
Education | |||
College graduate | 0.90 | [0.41, 1.98] | .79 |
<College graduate | 1.00 | ||
Pregnant | |||
Yes | 0.49 | [0.25, 0.95] | .03 |
No | 1.00 | ||
Conventional cigarettes | |||
Current | 1.77 | [0.39, 8.00] | .46 |
Former | 1.28 | [0.24, 6.70] | .77 |
Never | 1.00 | ||
e-Cigarettes a hazard | |||
Serious | 0.49 | [0.16, 1.49] | .21 |
Moderate | 1.24 | [0.55, 2.82] | .61 |
Minor | 0.90 | [0.41, 1.96] | .78 |
Not at all | 1.00 |
Note. Only women with complete data on all variables in the model are included (n = 182). CI = confidence interval. OR = odds ratio.
The ordinal logistic regression estimated likelhood of being a more frequent e-cig use (i.e., current vs. former; former vs. never).