We obtained data from the 2003 Tobacco Use Supplement to the Current Population Survey, a large household tobacco survey of the US civilian noninstitutionalized population,12,13
weighted to reflect the US population (for more details on the survey, see http://riskfactor.cancer.gov/studies/tus-cps
). We excluded proxy data; the primary respondent response rate was 65%.
ITS smoked on some days when surveyed (current ITS) or in the year prior to quitting (abstinent ITS). Converted-ITS had previously smoked daily for at least 6 months; native-ITS had not. DS smoked daily when surveyed (current DS) or in the year prior to quitting (abstinent DS). Those who reported smoking a year ago but being abstinent for at least 90 days at survey were considered quitters. The smoking relapse curve begins to flatten after 90 days,14
and short-term success predicts long-term success.15
Smokers who had made a quit attempt in the past year stated whether they had used quitting aids. Measures of dependence (first cigarette smoked within 30 minutes on smoking days, cigarettes per day on smoking days, and years of smoking) were also assessed.16
We analyzed 29192 ever-smokers (27401 current and 1791 quitters), distributed among 2040 native-ITS, 1808 converted-ITS, and 25344 DS.
We compared personal characteristics, quit attempts, quit success, and use of quit aids among groups. We compared converted-ITS and native-ITS with DS and to each other. Current smokers reported on visits to a health professional (i.e., doctor, dentist, nurse, other) within the last year and receipt of advice to quit. We used multivariable logistic regression models (SUDAAN version 10, RTI International, Research Triangle Park, NC) to test whether demographic and dependence measures could explain group differences in quit attempts and success.