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. Author manuscript; available in PMC: 2009 Jul 1.
Published in final edited form as: Cancer Epidemiol Biomarkers Prev. 2008 Jun 26;17(7):1640–1647. doi: 10.1158/1055-9965.EPI-07-2726

Table 5.

Logistic Regression Analysis Predictors of Quitting Smoking (Quit Ratio) in Lifetime Smokers Aged 25-44 (N = 9216)

Model††† OR 95% CI P value

Quit Smoking
Race/Ethnicity
 Caucasian 1.0 Reference
 African American 0.66 0.56, 0.78 <.001
 Latino 0.84 0.63, 1.12 .24
 Asian American 0.85 0.55, 1.30 .45
Gender
 Female 1.0 Reference
 Male 1.13 1.03, 1.25 .01
Marital status
 Not married 1.0 Reference
 Married 1.87 1.69, 2.08 <.001
Employment status
 Full-time 1.0
 Part-time/homemaker/student 1.31 1.16, 1.48 <.001
 Out of work/disabled/retired 0.67 0.53, 0.85 .001
Time to first cigarette when smoking the most
 > 30 minutes after waking 1.0 Reference
 ≤30 minutes after waking 0.55 0.50, 0.61 <.001
Cigarettes per day, when smoking the most‡‡‡ 0.81 0.76, 0.86 <.001
Age 1.06 1.05, 1.07 <.001
Age of smoking initiation 0.96 0.95, 0.97 <.001
Education§§§ 1.41 1.34, 1.49 <.001

OR, odds ratio; CI, confidence interval

†††

Logistic regression models controlled for site. All possible interactions for the variables selected for the multivariate model were tested, but were not statistically significant at the 0.05 level. A forced-entry simultaneous model of the significant covariates with race/ethnicity showed similar results.

‡‡‡

Cigarettes per day treated as an ordinal variable.

§§§

Education treated as an ordinal variable.