188075 Using Substantive Predictors to Target Segmented Adolescents in At-Risk of Smoking

Wednesday, October 29, 2008

Moonki Hong , Department of Communication, Florida State University, Tallahassee, FL
Health and communication researchers have studied tobacco-related risks and behaviors, and associated variables. Some of their studies have produced consistent findings, while others have produced inconsistent and complex findings, especially after 1998 Master Settlement Agreement (MSA). To address these problems, this study used a common set of comparable samples, a common set of variables, and a common set of measurement techniques that are found in the 1999, 2000, 2002, and 2004 National Youth Tobacco Surveys.

This study found that youth susceptibility to smoking has not declined since the MSA. By comparison, this study reported that lifetime smoking and current smoking have declined, though the longitudinal effect size measures (Person's Contingency Coefficient & Odds-Ratio) for these changes are minimal. The study pointed to the utility of measures documenting peer (best friends) smoking and receptivity to pro-tobacco promotions as predictors of adolescent susceptibility to smoking using the cross tabulation and logistic regression analysis techniques. Favorable attitude toward smoking/smokers was somewhat less consistent positive predictors of smoking susceptibility. The results further confirmed that age, peer smoking, and receptivity to pro-tobacco promotions are substantive, positive predictors of lifetime smoking and current smoking. A TwoStep cluster analysis produced two adolescent audience segments reflecting tobacco-related risks and one non-risk group. The first cluster represented household smoking and receptivity to pro-tobacco promotions risks and the second cluster represented peer smoking and favorable attitudes toward smoking/smokers risks.

This study also included some recommendations focusing on identifying the anti-tobacco campaign components that have been successful following the MSA.

Learning Objectives:
1. Identify and list five risk indicators of substantive predictors positively associated with youth susceptibility to smoking, lifetime smoking, and current smoking 2. Conduct chi-square test and logistic regression analysis to identify substantive predictors using Pearson's contingency coefficients and Odds Ratio. For utility of these substantive predictors, TwoStep cluster analysis was employed. 3. Develop and suggest an approach for more effective anti-tobacco campaign segmenting target audience.

Keywords: Smoking, Tobacco Control

Presenting author's disclosure statement:

Qualified on the content I am responsible for because: I designed, conducted, and annalyzed data. This is my secondary analysis of NYTS.
Any relevant financial relationships? No

I agree to comply with the American Public Health Association Conflict of Interest and Commercial Support Guidelines, and to disclose to the participants any off-label or experimental uses of a commercial product or service discussed in my presentation.