330104
Using a Social Prioritization Index to Predict Young Adult Smoking
Methods: Cross-sectional survey data was collected from 2012 through 2014 from young adults attending bars in 7 cities (N = 5,503). The SPI is a 12-item index which includes personality descriptors (“Up for anything/picks and chooses what to do” and “Plan it out/wing it”) and measures of how frequently respondents attend bars, and how late they stay out.
Results: In a series of regressions we found (1) bivariate analyses showed that the SPI was correlated with smoking status (2) the SPI was a significant predictor of smoking independent of demographic correlates and (3) the SPI predicted smoking independent of attitudinal variables known to predict smoking. The SPI was related to being a smoker (OR = 1.10, 95%CI = 1.06, 1.15, p <.0001) compared to non-smoker, and to non-daily (OR = 1.15, 95%CI = 1.07, 1.23, p <.0001) and daily-smoking (OR = 1.09, 95%CI = 1.04, 1.14, p <.001) compared to non-smoking.
Conclusions: The SPI is independently associated with tobacco use, controlling for demographic and attitudinal factors that predict smoking. The scale is easy to complete and may allow public health programs to more efficiently identify those at high-risk for smoking.
Learning Areas:
EpidemiologyImplementation of health education strategies, interventions and programs
Planning of health education strategies, interventions, and programs
Public health or related research
Social and behavioral sciences
Learning Objectives:
Evaluate how a new measure, the Social Prioritization Index (SPI), can be used to identify young adult smokers in addition to demographic or attitudinal factors.
Discuss how the SPI may facilitate more effective tailoring of prevention and cessation efforts for young adults.
Keyword(s): Tobacco Use, Epidemiology
Qualified on the content I am responsible for because: I received my Ph.D. in 2012 in Health Behavior Research from USC. I have been working in drug prevention and cessation for approximately 10 years. I am currently working on a large anti-tobacco study at UCSF as the statistician.
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.