Tobacco Use by Middle and High School Chinese Adolescents and their Friends
Understanding the similarity of the tobacco use of youth and their friends and unraveling the extent to which this similarity results from selection or socialization is central to peer influence models of tobacco use. The similarity between the tobacco use of Chinese adolescents and their friends were explored in middle (880, 13.3 years, 399 girls) and high school (849, 16.6 years, 454 girls) cohorts assessed yearly at three times. Boys were more similar to their friends in tobacco use than were girls. Growth curve models revealed escalation of use during middle school and stable use during high school for boys, whereas models for girls could not be computed. Evidence of selection effects emerged from cross-lagged panel analyses revealing pathways from boys’ tobacco use to subsequent changes in their friends’ use; assessment of selection and influence processes could not be assessed for girls. The results from this study suggest that peer influence processes may differ for Chinese boys and girls and that further quantitative and qualitative research is necessary to understand these processes.
KeywordsTobacco Friendship: China Peer influence
- Bellendiuk, K. A., Molina, B. S. G., and Donovan, J. E. (2010). Concordance of adolescent reports of friend alcohol use, smoking, and deviant behavior as predicted by quality of relationships and demographic variables. Journal of Studies on Alcohol and Drugs, 71, 253–257. doi:10.15288/jsad.2010.71.253 CrossRefGoogle Scholar
- Berndt, T. J., and McCandless, M. A. (2009). Methods for investigating children’s relationships with friends. In K. H. Rubin, W. M. Bukowski and B. Laursen (Eds.), Handbook of peer interactions, relationships, and groups (pp. 63–81). New York: Guilford Press.Google Scholar
- Brendgen, M., Vitaro, F., Turgeon, L., Poulin, F., and Wanner, B. (2004). Is there a dark side of positive illusions? Overestimation of social competence and subsequent adjustment in aggressive and nonaggressive children. Journal of Abnormal Child Psychology, 32, 305–320. doi:10.1023/b:jacp.0000026144.08470.cd CrossRefPubMedGoogle Scholar
- Cohen, J., and Cohen, P. (1983). Applied multiple regression/correlation analysis for the behavioral sciences. Hillsdale, NJ: Erlbaum.Google Scholar
- Dishion, T. J., Piehler, T. F., and Myers, M. W. (2008). Dynamics and ecology of adolescent peer influence. In M. J. Prinstein and K. A. Dodge (Eds.) (2008). Understanding peer influence in children and adolescents (pp. 72–93). New York: Guilford Press.Google Scholar
- Johnston, L. D., O’Malley, P. M., Miech, R. A., Bachman, J. G., and Schulenberg, J.E. (2016). Monitoring the Future national survey results on drug use, 1975-2015: Overview, key findings on adolescent drug use. Ann Arbor, MI: Institute for Social Research, The University of Michigan.Google Scholar
- Mercken, L., Snijders, T. A. B., Steglich, C., Vartiainen, E., and deVries, H. (2009b). Dynamics of adolescent friendship networks and smoking behavior: Social network analyses in six European countries. Social Science and Medicine, 69, 1506–1514. doi:10.1016/j.socscimed.2009.08.003 CrossRefPubMedGoogle Scholar
- Miech, R. A., Johnston, L. D., O’Malley, P. M., Bachman, J. G., and Schulenberg, J. E. (2015). New trends in teen smoking, e-cigarettes in 2015. Ann Arbor, MI: University of Michigan News Service. http://www.monitoringthefuture.org. Accessed 20 May 2016.
- Nelson, S. E., Van Ryzin, M. J., and Dishion, T. J. (2015). Alcohol, marijuana, and tobacco use trajectories from age 12 to 24 years: Demographic correlates and young adult substance use problems. Development and Psychopathology, 27, 253–277. doi:10.1017/S0945/9414000650 CrossRefPubMedGoogle Scholar
- Ott, B., and Srinivsan, R. (2012). Three in 10 Chinese adults smoke. http://www.gallup.com/poll/152546/three-chinese-adults-smoke.aspx. Accessed 12 Oct 2014.
- Prinstein, M. J., and Dodge, K. A. (Eds.). (2008). Understanding peer influence in children and adolescents. New York: Guilford Press.Google Scholar
- Prinstein, M. J., and Wang, S. S. (2005). False consensus and adolescent peer contagion: Examining discrepancies between perceptions and actual reported levels of friends’ deviant and health risk behaviors. Journal of Abnormal Child Psychology, 33, 293–306. doi:10.1007/s10802-005-3566-4 CrossRefPubMedGoogle Scholar
- Qui, Y., Pomerantz, E. M., Wang, M., Cheung, C., and Cimpian, A. (2016). Conceptions of adolescence: Implications for differences in engagement in school over early adolescence in the United States and China. Journal of Youth and Adolescence, 45, 1512–1526. doi:10.1007/s10964-016-0492-4 CrossRefGoogle Scholar
- Snijders, T. A. B., Steglich, C. E. G., and Schweinberger, M. (2007). Modeling the co-evolution of networks and behavior. In K. van Montfort, H. Oud and A. Satorra (Eds.), Longitudinal models in the behavioral and related sciences (pp. 215-247). Mahwah, NJ: Lawrence Erlbaum.Google Scholar
- Stevenson, H. W., and Zusho, A. (2002). Adolescence in China and Japan: Adapting to a changing environment. In B. B. Brown, R. W. Larson and T.S. Saraswathi (Eds.). The world’s youth: Adolescence in eight regions of the world (pp. 141–170). Cambridge, UK: Cambridge University Press.Google Scholar
- West, P., and Michell, L. (1999). Smoking and peer influence. In P. West and L. Michell (Eds.), Handbook of pediatric and adolescent health psychology (pp. 179–202). Boston, MA: Allyn and Bacon.Google Scholar