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. 2009 Dec;99(12):2217–2223. doi: 10.2105/AJPH.2009.161638

TABLE 2.

Effects of Potential Exposure to 2 Types of Ads on Odds of Quitting Smoking: UMass Tobacco Study, 2001–2004

Main Predictors OR (95% CI)
Highly emotional or personal testimonial ad GRPsa 1.14** (1.02, 1.29)
Comparison ad GRPsa 0.93 (0.61, 1.40)
Age,b y 1.00 (0.98, 1.01)
Interview gap, mo 1.00 (0.92, 1.08)
SES
    Low (Ref) 1.00
    Mid 1.70** (1.02, 2.83)
    High 1.70* (0.95, 3.03)
    Undetermined 2.11** (1.07, 4.14)
Race/ethnicity
    White (Ref) 1.00
    Minority 0.55* (0.29, 1.04)
Gender
    Women (Ref) 1.00
    Men 1.09 (0.75, 1.59)
Addiction level
    Heavyc 0.42*** (0.29, 0.60)
    Lightd (Ref) 1.00
TV-watching frequency, d/wk
    0–3 (Ref) 1.00
    4–6 1.09 (0.70, 1.71)
    7 1.00 (0.63, 1.58)
Media market
    Boston, MA (Ref) 1.00
    Albany–Schenectady–Troy, NY 0.43 (0.01, 15.22)
    Providence–New Bedford, MA 0.85 (0.34, 2.13)

Note. CI = confidence interval; GRPs = gross ratings points; OR = odds ratio; SES = socioeconomic status.

a

Summed GRPs, divided by 1000, of state-sponsored and American Legacy Foundation–sponsored ads aired in the 24 months before the baseline interview.

b

The continuous age variable (each smoker's baseline age in years (range = 18–83 y) was included as a covariate in each analysis. The odds ratio of 1.00 was rounded up from 0.997.

c

Smoked within 30 minutes of waking or smoked more than 20 cigarettes per day.

d

Did not smoke within 30 minutes of waking and smoked fewer than 20 cigarettes per day.

*P < .10; *P < .05; ***P < .001.