Phantom smoking among young adult bar patrons

Tob Control. 2017 Mar;26(2):153-157. doi: 10.1136/tobaccocontrol-2015-052821. Epub 2016 Apr 5.

Abstract

Objective: To explore the prevalence and sociodemographic makeup of smokers who do not self-identify as smokers (ie, phantom smokers) compared with self-identifying smokers in a sample of bar-going young adults aged 18-30 years to more accurately assess young adult prevalence of smoking and inform cessation message targeting.

Methods: Cross-sectional surveys of smokers (n=3089) were conducted in randomly selected bars/nightclubs in seven US cities. Logistic regression models assessed associations between phantom smoking (past 30-day smoking and denial of being a smoker), tobacco and alcohol use behaviours (eg, social smoking, nicotine dependence, smoking while drinking, past 30-day alcohol use) and demographics.

Results: Compared with smokers, phantom smokers were more likely to be college graduates (OR=1.43, 95% CI 1.03 to 1.98) and to identify themselves as social smokers (OR=1.60, 95% CI 1.27 to 2.12). Phantom smokers had lower odds of smoking while drinking (OR=0.28, 95% CI 0.25 to 0.32), being nicotine dependent (OR=0.36, 95% CI 0.22 to 0.76) and having quit for at least 1 day in the last year (OR=0.46, 95% CI 0.36 to 0.69) compared with smokers.

Conclusions: This research extends phantom smoking literature on college students to provide a broader picture of phantom smoking among young adults in high-risk contexts and of varying levels of educational attainment. Phantom smokers may be particularly sensitive to social pressures against smoking, suggesting the importance of identifying smoking as a behaviour (rather than identity) in cessation messaging to ensure that phantom smokers are reached.

Keywords: Denormalization; Priority/special populations; Surveillance and monitoring.

Publication types

  • Research Support, N.I.H., Extramural

MeSH terms

  • Adolescent
  • Adult
  • Alcohol Drinking / epidemiology*
  • Cross-Sectional Studies
  • Female
  • Humans
  • Logistic Models
  • Male
  • Prevalence
  • Restaurants
  • Smokers / statistics & numerical data*
  • Smoking / epidemiology*
  • Smoking Cessation*
  • Surveys and Questionnaires
  • Tobacco Use Disorder / epidemiology
  • United States / epidemiology
  • Young Adult