Literature DB >> 34175574

Comparing targeting strategies for network-based adolescent drinking interventions: A simulation approach.

Cassie McMillan1, David R Schaefer2.   

Abstract

Public health researchers and social scientists highlight the promise of network-based strategies to inform and enhance interventions that curb risky adolescent health behaviors. However, we currently lack an understanding of how different variants of network-based interventions shape the distribution of targeted behaviors. The current project considers the effectiveness of five targeting strategies that are designed to have differential impacts on the health of program participants versus non-participants. Using simulations that are empirically-grounded in 28 observed school-based networks from the PROSPER study, we evaluate how these approaches shape long-term alcohol use for intervention participants and non-participants, separately, and consider whether contextual factors moderate their success. Findings suggest that enrolling well-connected adolescents results in the lowest drinking levels for non-participants, while strategies that target groups of friends excel at protecting participants from harmful influences. These trends become increasingly pronounced in contexts characterized by higher levels of peer influence.
Copyright © 2021 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Adolescents; Alcohol use; Empirically-grounded simulations; Health interventions; Social networks

Mesh:

Year:  2021        PMID: 34175574      PMCID: PMC8299477          DOI: 10.1016/j.socscimed.2021.114136

Source DB:  PubMed          Journal:  Soc Sci Med        ISSN: 0277-9536            Impact factor:   5.379


  36 in total

1.  Leveraging social influence to address overweight and obesity using agent-based models: the role of adolescent social networks.

Authors:  J Zhang; L Tong; P J Lamberson; R A Durazo-Arvizu; A Luke; D A Shoham
Journal:  Soc Sci Med       Date:  2014-06-02       Impact factor: 4.634

2.  Peer Influence, Friend Selection, and Gender: How Network Processes Shape Adolescent Smoking, Drinking, And Delinquency.

Authors:  Cassie McMillan; Diane Felmlee; D Wayne Osgood
Journal:  Soc Networks       Date:  2018-05-26

3.  Multiplex congruity: friendship networks and perceived popularity as correlates of adolescent alcohol use.

Authors:  Kayo Fujimoto; Thomas W Valente
Journal:  Soc Sci Med       Date:  2014-05-24       Impact factor: 4.634

Review 4.  Evidence-based interventions for preventing substance use disorders in adolescents.

Authors:  Kenneth W Griffin; Gilbert J Botvin
Journal:  Child Adolesc Psychiatr Clin N Am       Date:  2010-07

5.  Diffusion/Contagion Processes on Social Networks.

Authors:  Thomas W Valente; George G Vega Yon
Journal:  Health Educ Behav       Date:  2020-02-24

6.  Effect of social networks intervention in type 2 diabetes: a partial randomised study.

Authors:  Fadia T Shaya; Viktor V Chirikov; Deleonardo Howard; Clyde Foster; Julian Costas; Soren Snitker; Jeffrey Frimpter; Kathrin Kucharski
Journal:  J Epidemiol Community Health       Date:  2013-12-02       Impact factor: 3.710

Review 7.  Social Network Assessments and Interventions for Health Behavior Change: A Critical Review.

Authors:  Carl A Latkin; Amy R Knowlton
Journal:  Behav Med       Date:  2015       Impact factor: 3.104

8.  Social networks and smoking: exploring the effects of peer influence and smoker popularity through simulations.

Authors:  David R Schaefer; Jimi Adams; Steven A Haas
Journal:  Health Educ Behav       Date:  2013-10

9.  Comparing methods of targeting obesity interventions in populations: An agent-based simulation.

Authors:  Rahmatollah Beheshti; Mehdi Jalalpour; Thomas A Glass
Journal:  SSM Popul Health       Date:  2017-01-24

10.  Social network interventions for health behaviours and outcomes: A systematic review and meta-analysis.

Authors:  Ruth F Hunter; Kayla de la Haye; Jennifer M Murray; Jennifer Badham; Thomas W Valente; Mike Clarke; Frank Kee
Journal:  PLoS Med       Date:  2019-09-03       Impact factor: 11.069

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