Tuesday, 19 November 2002 - 4:00 PM
Hilton San Francisco Union Square 3 & 4 (90)

This presentation is part of EVAL-97. Return on Investment: Analyzing the Impact of Your Tobacco Control Efforts

Impact of Tobacco Control Program Expenditures on Tobacco Use

Maya Vijayaraghavan, PhD, Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Office on Smoking and Health (K50), mgv3@cdc.gov, Jeffrey Fellows, jfellows@cdc.gov, Michael Schooley, mschooley@cdc.gov, Eric Wiesen, ewiesen@cdc.gov, Heather A. Ryan, MPH, hryan@cdc.gov.

Learning Objectives: 1. Understand the methods used in demand analysis. 2. State the impact of Tobacco Control Program expenditures on tobacco use and smoking behavior. 3. Describe implications for policy.

Abstract: This presentation will review the results of research conducted by the Centers for Disease Control and Prevention on the impact of TCP (tobacco control program) expenditures on tobacco use and smoking behaviors, and discuss implications for policy. Multiple regression models are used to analyze the impact of TCP expenditures on the prevalence and consumption of tobacco products, independent of other factors (the price of the product, the consumer’s income level and social, cultural and demographic factors) that influence demand. The evidence consistently shows that tobacco control programs decrease aggregate tobacco use. The study supports the notion that previous years’ programmatic efforts are the driving force behind current decreases in tobacco use. Findings also indicate that increases in expenditures by tobacco control programs are associated with declines in both prevalence and consumption of tobacco products at the individual level. These results provide important evidence that state TCP expenditures work, and have an effect on reducing tobacco use, independent of other factors. The evidence also supports the notion that there is a lag effect in the impact of TCP expenditures, and that the impact differs by age, sex and ethnicity. These findings may be helpful in tailoring programs to work more effectively in reducing disparities.
NCTH2002_6304.ppt (151.0 kb)

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