Social influence of e-cigarette smoking prevalence on smoking behaviours among high-school teenagers: Microsimulation experiments

• Published in: PloS one 2019-08, Vol.14 (8), p.e0221557-e0221557
• Main Authors: Chao, Dingding, Hashimoto, Hideki, Kondo, Naoki
• Format: Article
• Language: English
• Subjects: Adolescent; Adolescents; Analysis; Attitudes; Behavior; Biology and Life Sciences; Cigarette smoking; Cigarette Smoking - epidemiology; Cigarettes; Computer and Information Sciences; Computer simulation; Decision making; Electronic cigarettes; Electronic Nicotine Delivery Systems; Epidemiology; Female; Gene expression; Humans; Influence; Male; Medicine and Health Sciences; Models, Theoretical; Nicotine; Peers; People and Places; Physical Sciences; Population; Prevalence; Prevalence studies (Epidemiology); Public health; Research and Analysis Methods; Schools; Secondary school students; Secondary schools; Smoke; Smokers; Smoking; Smoking cessation; Social aspects; Social Change; Social networks; Social Sciences; Society; Students; Studies; Teenagers; Tobacco; Trends; Young adults; Youth; Youth smoking
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0221557

The prevalence of electronic cigarette (e-cigarette) use has rapidly increased among young people, while conventional cigarette use has decreased in this age group. However, some evidence suggests that e-cigarette use is likely to induce conventional cigarette smoking. The present study explored the social influence of the prevalence of e-cigarette use in the peer network and in the general population as a potential mechanism by which e-cigarette use affects adolescents' overall smoking behaviours. For this purpose, we developed an agent-based model in which young agents repeatedly choose to smoke conventional cigarettes and/or e-cigarettes, or to remain non-smokers. The choice is based on the agent's evaluation of the utility derived from smoking and attitude towards smoking ('openness'), which is influenced by smoking prevalence in the agent's peer network and in the broader society. We also assumed a 'crossover' effect between the different types of smoking. The model was calibrated with United States National Youth Tobacco Survey data to reflect real-world numbers. We further simulated the prevalence of different types of smoking under counterfactual scenarios with different levels of openness and crossover effects. The models developed successfully reproduced actual prevalence trends in different types of smoking from 2011 to 2014. Openness to smoking is associated with a dramatic increase in e-cigarette smoking and especially in dual smoking, which cancels out the decline in sole conventional smoking. Larger crossover effects are associated with a higher prevalence of conventional smoking. The simulation results indicate that the social influence of the prevalence of e-cigarette use may influence young people to initiate or continue conventional cigarette smoking. Assessing the impact of e-cigarettes in the general population as a 'healthier' alternative to conventional smoking may require carefully monitoring trends in young people's smoking behaviours.