Table 2:
Multivariate logistic regression models.
Estimate (SE)
Adjusted odds ratio (95% CI)
Pr (>
)
(A)
Cross-sectional dataset
(
)°
Dependent variable = current
smoking at baseline (
)
Intercept
.83 (.56)
.13
Self-efficacy
−1.75 (.68)
.17* (.05, .66)
.01
Narcotic pain medication use
.46 (.22)
2.50 (1.08, 5.81)
.033
Emotional responsiveness
−.62 (.24)
.29 (.11, .72)
.008
Age
−.56 (.23)
.57* (.36, .89)
.014
c
-statistic = .76
(B)
Prospective dataset
(
)
Outcome = current smoking at 36
weeks after baseline (
)
Intercept
−1.02 (.74)
.17
At least 12 years education
−.56 (.26)
.33 (.12, .90)
.03
Emotional responsiveness
−.57 (.24)
.32 (.13, .82)
.018
Categorical body mass index
.54 (.29)
1.72 (.98, 3.03)
.058
c
-statistic = .71
with missing educational attainment data; *odds of smoking for each 1 SD increase from median score.
with missing self-efficacy
or use of narcotic pain medication
data.