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Social causation and neighborhood selection underlie associations of neighborhood factors with illicit drug-using social networks and illicit drug use among adults relocated from public housing

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  • Linton, Sabriya L.
  • Haley, Danielle F.
  • Hunter-Jones, Josalin
  • Ross, Zev
  • Cooper, Hannah L.F.

Abstract

Theories of social causation and social influence, which posit that neighborhood and social network characteristics are distal causes of substance use, are frequently used to interpret associations among neighborhood characteristics, social network characteristics and substance use. These associations are also hypothesized to result from selection processes, in which substance use determines where people live and who they interact with. The potential for these competing selection mechanisms to co-occur has been underexplored among adults.

Suggested Citation

  • Linton, Sabriya L. & Haley, Danielle F. & Hunter-Jones, Josalin & Ross, Zev & Cooper, Hannah L.F., 2017. "Social causation and neighborhood selection underlie associations of neighborhood factors with illicit drug-using social networks and illicit drug use among adults relocated from public housing," Social Science & Medicine, Elsevier, vol. 185(C), pages 81-90.
    • Handle: RePEc:eee:socmed:v:185:y:2017:i:c:p:81-90
    DOI: 10.1016/j.socscimed.2017.04.055
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    References listed on IDEAS

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    Cited by:

    1. Duff, Cameron & Hill, Nicholas & Blunden, Hazel & valentine, kylie & Randall, Sean & Scutella, Rosanna & Johnson, Guy, 2021. "Leaving rehab: enhancing transitions into stable housing," SocArXiv vypsj, Center for Open Science.
    2. Wunsch, Guillaume & Mouchart, Michel & Russo, Federica, 2017. "Causal attribution in block-recursive social sytems. A structural modeling perspective," LIDAM Discussion Papers ISBA 2017029, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    3. Sean F Altekruse & Candace M Cosgrove & William C Altekruse & Richard A Jenkins & Carlos Blanco, 2020. "Socioeconomic risk factors for fatal opioid overdoses in the United States: Findings from the Mortality Disparities in American Communities Study (MDAC)," PLOS ONE, Public Library of Science, vol. 15(1), pages 1-16, January.
    4. Li, Yuchen & Miller, Harvey J. & Hyder, Ayaz & Jia, Peng, 2023. "Understanding the spatiotemporal evolution of opioid overdose events using a regionalized sequence alignment analysis," Social Science & Medicine, Elsevier, vol. 334(C).

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