Development and validation of a smoking media literacy scale for adolescents.
OBJECTIVE
To develop a smoking media literacy (SML) scale by using empiric survey data from a large sample of high school students and to assess reliability and criterion validity of the scale.


METHODS
On the basis of an established theoretical framework, 120 potential items were generated, and items were eliminated or altered on the basis of input from experts and students. Cross-sectional responses to scale items, demographics, smoking-related variables, and multiple covariates were obtained to refine the scale and determine its reliability and validity.


METHODS
One large Pittsburgh, Pa, high school.


METHODS
A total of 1211 high school students aged 14 to 18 years.


METHODS
Current smoking, susceptibility to smoking, attitudes toward smoking, and smoking norms.


RESULTS
Factor analysis demonstrated a strong 1-factor scale with 18 items (alpha = 0.87). After controlling for all covariate data, SML had a statistically significant and independent association with current smoking (P = .01), susceptibility (P<.001), and attitudes (P<.001), but not norms (P = .42). Controlling for all covariates, an increase of 1 point on the 10-point SML scale was associated with a 22% decrease in the odds of being a smoker and a 31% decrease in the odds of being susceptible to smoking.


CONCLUSIONS
Smoking media literacy can be measured with excellent reliability and concurrent criterion validity. Given the independent association between SML and smoking, media literacy may be a promising tool for future tobacco control interventions.
Primack
Brian A
BA
Center for Research on Health Care, Division of General Internal Medicine, Department of Medicine, University of Pittsburgh School of Medicine, 230 McKee Place, Ste. 600, Pittsburgh, PA 15213, USA. bprimack@pitt.edu
Gold
Melanie A
MA
Switzer
Galen E
GE
Hobbs
Renee
R
Land
Stephanie R
SR
Fine
Michael J
MJ
D000293:Adolescent; D000294:Adolescent Behavior; D001294:Attitude to Health; D015986:Confounding Factors, Epidemiologic; D003430:Cross-Sectional Studies; D003625:Data Collection; D004493:Education / Q000706:statistics & numerical data; D005260:Female; D006801:Humans; D008297:Male; D008402:Mass Media / Q000706:statistics & numerical data; D015999:Multivariate Analysis; D010414:Pennsylvania / Q000453:epidemiology; D011237:Predictive Value of Tests; D016730:Program Development; D015203:Reproducibility of Results; D012307:Risk Factors; D012907:Smoking / Q000453:epidemiology*; D013334:Students / Q000706:statistics & numerical data*