The Impact of the Tips from Former Smokers® Campaign on Reducing Cigarette Smoking Relapse
Table 1
Spring 2014 unweighted and weighteda characteristics of participants in the analytic sampleb.
Characteristic
c
Unweighted statistics (%)/mean (SD)
Weighted statistics % (95% CI)/mean (SE)
Past-quarter cumulative TV GRPs
1,409
756.32 (346.25)
771.98 (14.73)
Sex
1,409
Female
784 (55.6%)
46.5% (42.5%-50.5%)
Male
625 (44.4%)
53.5% (49.5%-57.5%)
Age
1,409
50.77 (15.32)
43.76 (0.61)
Race/ethnicity
1,409
Non-Hispanic white
1,134 (80.5%)
64.4% (60.0%-68.7%)
Non-Hispanic black
107 (7.6%)
14.5% (11.1%-17.8%)
Hispanic
95 (6.7%)
15.2% (11.4%-18.9%)
Non-Hispanic other race/multiracial
73 (5.2%)
6.0% (3.8%-8.2%)
Education
1,407
Less than high school
91 (6.5%)
13.0% (9.8%-16.3%)
High school graduate or GED
347 (24.7%)
42.5% (38.3%-46.7%)
Some college (an associate degree or no degree)
636 (45.2%)
31.1% (27.8%-34.4%)
Bachelor’s degree or higher
333 (23.7%)
13.4% (11.1%-15.7%)
Other characteristics
Most or all family or friends smoke
1,409
683 (48.5%)
54.0% (50.0%-58.1%)
Household income ($)
1,365
53,700 (37,900)
54,100 (0.16)
≥1 smokers in household
1,402
444 (31.7%)
33.4% 29.7%-37.1%)
≥1 child in household
1,409
382 (27.1%)
38.5% (34.4%-42.7%)
≥1 physical health conditions
1,408
1,056 (75.0%)
64.5% (60.4%-68.6%)
≥1 mental health conditions
1,401
423 (30.2%)
27.9% (24.3%-31.5%)
Abbreviations: TV: television; GRPs: gross rating points; SD: standard deviation; CI: confidence interval; SE: standard error; GED: general education degree. aWeighted to reflect age, sex, race/ethnicity, and education benchmark distributions among adult cigarette smokers from the National Health Interview Survey. bTo be included in the analytic sample, participants had to report smoking “every day” or “some days” (current smoking) in the initial survey wave, subsequently report smoking “not at all” for at least one wave thereafter. cThe sample size represents the number of unique participants with nonmissing values at the initial survey wave.
