Table 2.
Linear (continuous outcomes) and logistic regressions (binary outcomes) when both PDMs and SDMs are simultaneously entered to predict markers of tobacco dependence
| Dependent variable | Analysis | Predictor | B | SE | B | t |
|---|---|---|---|---|---|---|
| FTND | Linear | PDM | .21 | .01 | .66 | 25.21** |
| SDM | −.04 | .01 | −.10 | −3.74** | ||
| Cigarettes per day | Linear | PDM | 3.97 | .26 | .46 | 15.46** |
| SDM | −1.02 | .28 | −.11 | −3.58** | ||
| Breath carbon monoxide | Linear | PDM | 3.41 | .31 | .35 | 11.07** |
| SDM | −1.76 | .34 | −.16 | −5.19** | ||
| Quit day increase in craving | Linear | PDM | .32 | .11 | .10 | 2.88** |
| SDM | .92 | .12 | .26 | 7.45** | ||
| Age of smoking initiation | Linear | PDM | −.28 | .11 | −.08 | −2.53* |
| SDM | −.04 | .12 | −.01 | −.29 | ||
| Age began smoking daily | Linear | PDM | −.43 | .11 | −.12 | −3.83** |
| SDM | .10 | .12 | .03 | .85 | ||
| B | SE | B | OR | |||
| Relapse at 1 week (no = 0) | Logistic | PDM | .20 | .07 | 9.54 | 1.23** |
| SDM | .02 | .07 | .06 | .80 | ||
| Relapse at 6 months (no =0) | Logistic | PDM | .25 | .08 | 10.31 | 1.28** |
| SDM | −.07 | .09 | .63 | .94 | ||
*
p ≤ .05
**
p < .01
Note: Concentration of carbon monoxide in a breath sample is a sensitive biochemical indicator of the heaviness of recent smoking. Higher absolute values of B and β indicate stronger relations between the predictor and the dependent measure. Odds ratio (OR) estimates higher than 1.0 indicate the predictor is associated with an increased odds of relapse. SE = standard error.