Table 5.

Logistic regression analysis predictors of quitting smoking (quit ratio) in lifetime smokers ages 25 to 44 years (n = 9,216)

Model*OR (95% CI)P
Quit smoking
Race/ethnicity
    Caucasian1.0 (Reference)
    African American0.66 (0.56-0.78)<0.001
    Latino0.84 (0.63-1.12)0.24
    Asian American0.85 (0.55-1.30)0.45
Gender
    Female1.0 (Reference)
    Male1.13 (1.03-1.25)0.01
Marital status
    Not married1.0 (Reference)
    Married1.87 (1.69-2.08)<0.001
Employment status
    Full-time1.0
    Part-time/homemaker/student1.31 (1.16-1.48)<0.001
    Out of work/disabled/retired0.67 (0.53-0.85)0.001
Time to first cigarette when smoking the most
    >30 min after waking1.0 (Reference)
    ≤30 min after waking0.55 (0.50-0.61)<0.001
Cigarettes per day when smoking the most0.81 (0.76-0.86)<0.001
Age1.06 (1.05-1.07)<0.001
Age of smoking initiation0.96 (0.95-0.97)<0.001
Education1.41 (1.34-1.49)<0.001
  • * 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.