Social Network Influences on Adolescent E-cigarette Use

Abstract Background: Determine if individual adolescent vaping is associated with the vaping behavior of their school-based friendships; whether that association stems from peer influence or peer selection; and whether it varies by age. Methods: Two wave longitudinal survey of 1,208 students in one Midwestern US school district. Students were asked if they ever vaped and to name their seven closest friends within the school district. A roster of all eligible students was pre-loaded into the survey to facilitate network data collection. Terms for network exposure, the proportion of vaping friends; and selection, the number of new friends who vape, were created. Logistic regression and Stochastic Actor Oriented Models were used to test both influence and selection effects. Results: A cross-sectional logistic regression model indicated that friend vaping was associated with individual vaping (AOR = 4.96, p < 0.01); and lagged logistic models indicated that increased friend vaping was associated with individual vaping initiation (AOR = 1.72, p < 0.05). Selecting new friends who vape was also associated with becoming a vaper (AOR = 1.25, p < 0.01). Both influence and selection were present for those less than 14 years old. Conclusions: This is the first study to use social network analysis to show that adolescents who vape or initiate vaping are more likely to do so if their friends vape, and/or they make new friends who vape. Prevention and cessation programs should address the role of friend influence and selection on e-cigarette use; particularly at younger ages.

[1]  K. A. Cullen,et al.  Tobacco Product Use and Associated Factors Among Middle and High School Students — National Youth Tobacco Survey, United States, 2021 , 2022, Morbidity and mortality weekly report. Surveillance summaries.

[2]  Y. Liu,et al.  Exploring Patterns of the Use of Electronic Nicotine Delivery Systems among Adolescents in High-Risk Appalachian (U.S.A) Communities , 2021, Substance use & misuse.

[3]  S. Noar,et al.  Adolescents and Young Adults Who Vape or Are Susceptible to Vaping: Characteristics, Product Preferences, and Beliefs , 2021, Substance use & misuse.

[4]  Joy L. Hart,et al.  The Influence of Friends on Teen Vaping: A Mixed-Methods Approach , 2021, International journal of environmental research and public health.

[5]  Emily A. Waterman,et al.  Use of Social Network Analysis to Identify Popular Opinion Leaders for a Youth-Led Sexual Violence Prevention Initiative , 2021, Violence against women.

[6]  J. Hoffmann Social Learning, Social Bonds, Self-Control and Adolescent Nicotine Vaping , 2021, Substance use & misuse.

[7]  Eric C. Jones,et al.  Examining proximity exposure in a social network as a mechanism driving peer influence of adolescent smoking. , 2021, Addictive behaviors.

[8]  Dean G. Smith,et al.  E-Cigarettes: A Public Health Threat, Not a Population Health Intervention. , 2021, American journal of public health.

[9]  T. Valente,et al.  Implementation of a cluster randomized controlled trial: Identifying student peer leaders to lead E-cigarette interventions. , 2020, Addictive behaviors.

[10]  W. Crano,et al.  Above the influence of vaping: Peer leader influence and diffusion of a network-informed preventive intervention. , 2020, Addictive behaviors.

[11]  S. McCabe,et al.  Trends in E-Cigarette, Cigarette, Cigar, and Smokeless Tobacco Use Among US Adolescent Cohorts, 2014-2018. , 2019, American journal of public health.

[12]  K. A. Cullen,et al.  Tobacco Product Use and Associated Factors Among Middle and High School Students — 
United States, 2019 , 2019, Morbidity and mortality weekly report. Surveillance summaries.

[13]  Brian A. King,et al.  e-Cigarette Use Among Youth in the United States, 2019. , 2019, JAMA.

[14]  George G. Vega Yon,et al.  Smoking Diffusion through Networks of Diverse, Urban American Adolescents over the High School Period , 2019, Journal of health and social behavior.

[15]  D. Wayne Osgood,et al.  A Comparison of Peer Influence Estimates from SIENA Stochastic Actor–based Models and from Conventional Regression Approaches , 2019, Sociological Methods & Research.

[16]  Brian A. King,et al.  Vital Signs: Tobacco Product Use Among Middle and High School Students — United States, 2011–2018 , 2019, MMWR. Morbidity and mortality weekly report.

[17]  Kar-Hai Chu,et al.  JUUL: Spreading Online and Offline. , 2018, The Journal of adolescent health : official publication of the Society for Adolescent Medicine.

[18]  D. Eaton,et al.  Public Health Consequences of e-Cigarette Use , 2018, JAMA internal medicine.

[19]  H. I. Lanza,et al.  Electronic Nicotine Delivery Systems (E-cigarette/Vape) use and Co-Occurring Health-Risk Behaviors Among an Ethnically Diverse Sample of Young Adults , 2018, Substance use & misuse.

[20]  M. Windle,et al.  Social Influences on College Student Use of Tobacco Products, Alcohol, and Marijuana , 2017, Substance use & misuse.

[21]  F. J. McClernon,et al.  Use and Perceived Risk of Electronic Cigarettes Among North Carolina Middle and High School Students , 2017, North Carolina Medical Journal.

[22]  J. Pepper,et al.  Social Interactions as a Source of Information about E-Cigarettes: A Study of U.S. Adult Smokers , 2016, International journal of environmental research and public health.

[23]  J. Samet,et al.  Association of Electronic Cigarette Use With Initiation of Combustible Tobacco Product Smoking in Early Adolescence. , 2015, JAMA.

[24]  J. Samet,et al.  Flavorings in electronic cigarettes: an unrecognized respiratory health hazard? , 2014, JAMA.

[25]  David R. Schaefer,et al.  With a Little Help from My Friends? Asymmetrical Social Influence on Adolescent Smoking Initiation and Cessation , 2014, Journal of health and social behavior.

[26]  Daniella Meeker,et al.  Variations in network boundary and type: A study of adolescent peer influences , 2013, Soc. Networks.

[27]  Kayo Fujimoto,et al.  A comparison of peer influence measures as predictors of smoking among predominately hispanic/latino high school adolescents. , 2013, The Journal of adolescent health : official publication of the Society for Adolescent Medicine.

[28]  J. Tucker,et al.  Social distance and homophily in adolescent smoking initiation. , 2012, Drug and alcohol dependence.

[29]  David R. Schaefer,et al.  A dynamic model of US adolescents' smoking and friendship networks. , 2012, American journal of public health.

[30]  Stanley W. Borg Social Networks and Health: Models, Methods, and Applications , 2012 .

[31]  M. Schoeny,et al.  Accuracy and bias in adolescents' perceptions of friends' substance use. , 2011, Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors.

[32]  C. Steglich,et al.  DYNAMIC NETWORKS AND BEHAVIOR: SEPARATING SELECTION FROM INFLUENCE: separating selection from influence , 2010 .

[33]  Christian Steglich,et al.  Smoking-based selection and influence in gender-segregated friendship networks: a social network analysis of adolescent smoking. , 2010, Addiction.

[34]  Thomas W. Valente,et al.  Social Networks and Health , 2010 .

[35]  W. Holzemer,et al.  A systematic review of the effectiveness of peer-based interventions on health-related behaviors in adults. , 2010, American journal of public health.

[36]  Christian Steglich,et al.  Dynamics of adolescent friendship networks and smoking behavior: social network analyses in six European countries. , 2009, Social science & medicine.

[37]  Tom A. B. Snijders,et al.  Introduction to stochastic actor-based models for network dynamics , 2010, Soc. Networks.

[38]  Jeffrey A. Hall,et al.  Adolescent smoking networks: the effects of influence and selection on future smoking. , 2007, Addictive behaviors.

[39]  Gábor Csárdi,et al.  The igraph software package for complex network research , 2006 .

[40]  Tx Station Stata Statistical Software: Release 7. , 2001 .

[41]  K. Bauman,et al.  The contribution of influence and selection to adolescent peer group homogeneity: the case of adolescent cigarette smoking. , 1994, Journal of personality and social psychology.