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 | ||||
Caucasian | 1.0 (Reference) | |||
African American | 0.66 (0.56-0.78) | <0.001 | ||
Latino | 0.84 (0.63-1.12) | 0.24 | ||
Asian American | 0.85 (0.55-1.30) | 0.45 | ||
Gender | ||||
Female | 1.0 (Reference) | |||
Male | 1.13 (1.03-1.25) | 0.01 | ||
Marital status | ||||
Not married | 1.0 (Reference) | |||
Married | 1.87 (1.69-2.08) | <0.001 | ||
Employment status | ||||
Full-time | 1.0 | |||
Part-time/homemaker/student | 1.31 (1.16-1.48) | <0.001 | ||
Out of work/disabled/retired | 0.67 (0.53-0.85) | 0.001 | ||
Time to first cigarette when smoking the most | ||||
>30 min after waking | 1.0 (Reference) | |||
≤30 min after waking | 0.55 (0.50-0.61) | <0.001 | ||
Cigarettes per day when smoking the most† | 0.81 (0.76-0.86) | <0.001 | ||
Age | 1.06 (1.05-1.07) | <0.001 | ||
Age of smoking initiation | 0.96 (0.95-0.97) | <0.001 | ||
Education‡ | 1.41 (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.