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Effects of a Social-Network Method for Group Assignment Strategies on Peer-Led Tobacco Prevention Programs in Schools

Author

Listed:
  • Valente, T.W.
  • Hoffman, B.R.
  • Ritt-Olson, A.
  • Lichtman, K.
  • Johnson, C.A.

Abstract

Objectives. Our study tested the effectiveness of network methods for identifying opinion leaders and for constructing groups. Methods. Three conditions-random, teacher, and network-were randomly assigned to 84 6th-grade classrooms within 16 schools. Pre- and postcurriculum data on mediators of tobacco use were collected from 1961 students. Peer leaders in the network condition were identified by student nominations, and those leaders were matched with the students who nominated them. Results. Students in the network condition relative to the random condition liked the prevention program more and had improved attitudes (β=-0.06; P

Suggested Citation

  • Valente, T.W. & Hoffman, B.R. & Ritt-Olson, A. & Lichtman, K. & Johnson, C.A., 2003. "Effects of a Social-Network Method for Group Assignment Strategies on Peer-Led Tobacco Prevention Programs in Schools," American Journal of Public Health, American Public Health Association, vol. 93(11), pages 1837-1843.
    • Handle: RePEc:aph:ajpbhl:2003:93:11:1837-1843_6
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    Cited by:

    1. Raghuram Iyengar & Christophe Van den Bulte & Thomas W. Valente, 2011. "Opinion Leadership and Social Contagion in New Product Diffusion," Marketing Science, INFORMS, vol. 30(2), pages 195-212, 03-04.
    2. Chaohua Xiong & Kongzheng Liang & HanBin Luo & Ivan W. H. Fung, 2018. "Identification of Safety-Related Opinion Leaders among Construction Workers: Evidence from Scaffolders of Metro Construction in Wuhan, China," IJERPH, MDPI, vol. 15(10), pages 1-17, October.
    3. Galeotti, Andrea & Goyal, Sanjeev, 2007. "A Theory of Strategic Diffusion," Economics Discussion Papers 2983, University of Essex, Department of Economics.
    4. Galeotti, Andrea & Goyal, Sanjeev, 2007. "The Law of the Few," Economics Discussion Papers 2981, University of Essex, Department of Economics.
    5. Pilar Marqués-Sánchez & Enedina Quiroga Sánchez & Cristina Liébana-Presa & Elena Fernández-Martínez & Isaías García-Rodríguez & José Alberto Benítez-Andrades, 2020. "The consumption of alcohol by adolescent schoolchildren: Differences in the triadic relationship pattern between rural and urban environments," PLOS ONE, Public Library of Science, vol. 15(11), pages 1-12, November.
    6. Nair, Harikesh S. & Manchanda, Puneet & Bhatia, Tulikaa, 2006. "Asymmetric Peer Effects in Physician Prescription Behavior: The Role of Opinion Leaders," Research Papers 1970, Stanford University, Graduate School of Business.
    7. Andrea Galeotti & Sanjeev Goyal, 2009. "Influencing the influencers: a theory of strategic diffusion," RAND Journal of Economics, RAND Corporation, vol. 40(3), pages 509-532, September.
    8. Yingda Lu & Kinshuk Jerath & Param Vir Singh, 2013. "The Emergence of Opinion Leaders in a Networked Online Community: A Dyadic Model with Time Dynamics and a Heuristic for Fast Estimation," Management Science, INFORMS, vol. 59(8), pages 1783-1799, August.
    9. Goyal, Sanjeev & Galeotti, Andrea, 2007. "A Theory of Strategic Diffusion," Coalition Theory Network Working Papers 9096, Fondazione Eni Enrico Mattei (FEEM).
    10. Shelton, Rachel C. & Lee, Matthew & Brotzman, Laura E. & Crookes, Danielle M. & Jandorf, Lina & Erwin, Deborah & Gage-Bouchard, Elizabeth A., 2019. "Use of social network analysis in the development, dissemination, implementation, and sustainability of health behavior interventions for adults: A systematic review," Social Science & Medicine, Elsevier, vol. 220(C), pages 81-101.
    11. Nicholas A. Christakis & James H. Fowler, 2011. "Commentary--Contagion in Prescribing Behavior Among Networks of Doctors," Marketing Science, INFORMS, vol. 30(2), pages 213-216, 03-04.
    12. Vishal Narayan & Vithala R. Rao & Carolyne Saunders, 2011. "How Peer Influence Affects Attribute Preferences: A Bayesian Updating Mechanism," Marketing Science, INFORMS, vol. 30(2), pages 368-384, 03-04.
    13. Christophe Van den Bulte & Yogesh V. Joshi, 2007. "New Product Diffusion with Influentials and Imitators," Marketing Science, INFORMS, vol. 26(3), pages 400-421, 05-06.
    14. Mercken, Liesbeth & Snijders, Tom A.B. & Steglich, Christian & de Vries, Hein, 2009. "Dynamics of adolescent friendship networks and smoking behavior: Social network analyses in six European countries," Social Science & Medicine, Elsevier, vol. 69(10), pages 1506-1514, November.
    15. Mertens, Frédéric & Saint-Charles, Johanne & Mergler, Donna, 2012. "Social communication network analysis of the role of participatory research in the adoption of new fish consumption behaviors," Social Science & Medicine, Elsevier, vol. 75(4), pages 643-650.
    16. Triyana, Margaret & White, Justin S., 2022. "Non-monetary incentives for tobacco prevention among youth in Indonesia," Journal of Health Economics, Elsevier, vol. 83(C).
    17. Enedina Quiroga & Arrate Pinto-Carral & Isaías García & Antonio J. Molina & Tania Fernández-Villa & Vicente Martín, 2018. "The Influence of Adolescents’ Social Networks on Alcohol Consumption: A Descriptive Study of Spanish Adolescents Using Social Network Analysis," IJERPH, MDPI, vol. 15(9), pages 1-12, August.
    18. Bhatia, Tulikaa & Wang, Lei, 2011. "Identifying physician peer-to-peer effects using patient movement data," International Journal of Research in Marketing, Elsevier, vol. 28(1), pages 51-61.

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