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

Author

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  • Zhang, J.
  • Tong, L.
  • Lamberson, P.J.
  • Durazo-Arvizu, R.A.
  • Luke, A.
  • Shoham, D.A.

Abstract

The prevalence of adolescent overweight and obesity (hereafter, simply “overweight”) in the US has increased over the past several decades. Individually-targeted prevention and treatment strategies targeting individuals have been disappointing, leading some to propose leveraging social networks to improve interventions. We hypothesized that social network dynamics (social marginalization; homophily on body mass index, BMI) and the strength of peer influence would increase or decrease the proportion of network member (agents) becoming overweight over a simulated year, and that peer influence would operate differently in social networks with greater overweight. We built an agent-based model (ABM) using results from R-SIENA. ABMs allow for the exploration of potential interventions using simulated agents. Initial model specifications were drawn from Wave 1 of the National Longitudinal Study of Adolescent Health (Add Health). We focused on a single saturation school with complete network and BMI data over two waves (n = 624). The model was validated against empirical observations at Wave 2. We focused on overall overweight prevalence after a simulated year. Five experiments were conducted: (1) changing attractiveness of high-BMI agents; (2) changing homophily on BMI; (3) changing the strength of peer influence; (4) shifting the overall BMI distribution; and (5) targeting dietary interventions to highly connected individuals. Increasing peer influence showed a dramatic decrease in the prevalence of overweight; making peer influence negative (i.e., doing the opposite of friends) increased overweight. However, the effect of peer influence varied based on the underlying distribution of BMI; when BMI was increased overall, stronger peer influence increased proportion of overweight. Other interventions, including targeted dieting, had little impact. Peer influence may be a viable target in overweight interventions, but the distribution of body size in the population needs to be taken into account. In low-obesity populations, strengthening peer influence may be a useful strategy.

Suggested Citation

  • Zhang, J. & Tong, L. & Lamberson, P.J. & Durazo-Arvizu, R.A. & Luke, A. & Shoham, D.A., 2015. "Leveraging social influence to address overweight and obesity using agent-based models: The role of adolescent social networks," Social Science & Medicine, Elsevier, vol. 125(C), pages 203-213.
    • Handle: RePEc:eee:socmed:v:125:y:2015:i:c:p:203-213
    DOI: 10.1016/j.socscimed.2014.05.049
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    6. Tarek Abdelzaher & Jiawei Han & Yifan Hao & Andong Jing & Dongxin Liu & Shengzhong Liu & Hoang Hai Nguyen & David M. Nicol & Huajie Shao & Tianshi Wang & Shuochao Yao & Yu Zhang & Omar Malik & Stephen, 2020. "Multiscale online media simulation with SocialCube," Computational and Mathematical Organization Theory, Springer, vol. 26(2), pages 145-174, June.
    7. Lim, Jaeun & Cornwell, Benjamin, 2023. "Social network-structural position and obesity: Evidence from a national study," Social Science & Medicine, Elsevier, vol. 329(C).
    8. Aronson, Brian, 2016. "Peer influence as a potential magnifier of ADHD diagnosis," Social Science & Medicine, Elsevier, vol. 168(C), pages 111-119.

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