OBJECTIVE: To assess the association between exposure to movie smoking and established adolescent smoking. DESIGN: Longitudinal survey of a representative US adolescent sample. SETTING: Adolescents were surveyed by telephone in their homes. PARTICIPANTS: Sixty-five hundred twenty-two US adolescents aged 10 to 14 years at baseline, resurveyed at 8 months (8M) (n = 5503), 16 months (16M) (n = 5019), and 24 months (24M) (n = 4575). Main Exposure Exposure to smoking in 532 box-office hits released in the 5 years prior to the baseline survey. Outcome Measure Established smoking (having smoked more than 100 cigarettes during lifetime). RESULTS: Of 108 incident established smokers with data at the 24M survey, 85% were current (30-day smokers) and 83% endorsed at least 1 addiction symptom. Established smoking incidence was 7.4, 15.8, and 19.7 per 1000 person-years of observation for the baseline-to-8M, 8M-to-16M, and 16M-to-24M observation periods, respectively. In a multivariate survival model, risk of established smoking was predicted by baseline exposure to smoking in movies with an adjusted overall hazard ratio of 2.04 (95% confidence interval, 1.01-4.12) for teens in the 95th percentile of movie-smoking exposure compared with the 5th percentile. This effect was independent of age; parent, sibling, or friend smoking; and sensation seeking. Teens low on sensation seeking were more responsive to the movie-smoking effect (hazard ratio, 12.7; 95% confidence interval, 2.0-80.6) compared with teens who were high on sensation seeking (hazard ratio, 1.01; 95% confidence interval, 0.4-2.6). CONCLUSION: In this national US adolescent sample, exposure to smoking in movies predicted risk of becoming an established smoker, an outcome linked with adult dependent smoking and its associated morbidity and mortality.
OBJECTIVE: To assess the association between exposure to movie smoking and established adolescent smoking. DESIGN: Longitudinal survey of a representative US adolescent sample. SETTING: Adolescents were surveyed by telephone in their homes. PARTICIPANTS: Sixty-five hundred twenty-two US adolescents aged 10 to 14 years at baseline, resurveyed at 8 months (8M) (n = 5503), 16 months (16M) (n = 5019), and 24 months (24M) (n = 4575). Main Exposure Exposure to smoking in 532 box-office hits released in the 5 years prior to the baseline survey. Outcome Measure Established smoking (having smoked more than 100 cigarettes during lifetime). RESULTS: Of 108 incident established smokers with data at the 24M survey, 85% were current (30-day smokers) and 83% endorsed at least 1 addiction symptom. Established smoking incidence was 7.4, 15.8, and 19.7 per 1000 person-years of observation for the baseline-to-8M, 8M-to-16M, and 16M-to-24M observation periods, respectively. In a multivariate survival model, risk of established smoking was predicted by baseline exposure to smoking in movies with an adjusted overall hazard ratio of 2.04 (95% confidence interval, 1.01-4.12) for teens in the 95th percentile of movie-smoking exposure compared with the 5th percentile. This effect was independent of age; parent, sibling, or friend smoking; and sensation seeking. Teens low on sensation seeking were more responsive to the movie-smoking effect (hazard ratio, 12.7; 95% confidence interval, 2.0-80.6) compared with teens who were high on sensation seeking (hazard ratio, 1.01; 95% confidence interval, 0.4-2.6). CONCLUSION: In this national US adolescent sample, exposure to smoking in movies predicted risk of becoming an established smoker, an outcome linked with adult dependent smoking and its associated morbidity and mortality.
Authors: Monica Skatrud-Mickelson; Anna M Adachi-Mejia; Todd A MacKenzie; Lisa A Sutherland Journal: J Public Health (Oxf) Date: 2011-11-10 Impact factor: 2.341
Authors: Brian A Primack; Meghan R Longacre; Michael L Beach; Anna M Adachi-Mejia; Linda J Titus; Madeline A Dalton Journal: J Natl Cancer Inst Date: 2012-03-14 Impact factor: 13.506
Authors: Jennifer C Duke; Jane Appleyard Allen; Linda L Pederson; Paul D Mowery; Haijun Xiao; James D Sargent Journal: Am J Health Promot Date: 2009 Jan-Feb
Authors: Anna V Wilkinson; Margaret R Spitz; Alexander V Prokhorov; Melissa L Bondy; Sanjay Shete; James D Sargent Journal: Cancer Epidemiol Biomarkers Prev Date: 2009-12 Impact factor: 4.254
Authors: James F Thrasher; James D Sargent; Liling Huang; Edna Arillo-Santillán; Ana Dorantes-Alonso; Rosaura Pérez-Hernández Journal: Cancer Epidemiol Biomarkers Prev Date: 2009-12 Impact factor: 4.254