Skip to main content
Log in

Neighborhood Environment and Marijuana Use in Urban Young Adults

  • Published:
Prevention Science Aims and scope Submit manuscript

Abstract

Risk factors for marijuana use in older adolescents and young adults have focused primarily on family environment and peer affiliation. A growing body of work has examined the relationship between environmental context and young adult substance use. This study builds on previous research linking neighborhood environment to young adult marijuana use by exploring two distinct features of neighborhoods, namely the physical (e.g., broken windows) and social environment (e.g., adults watching youth). Data were obtained from a longitudinal sample of 398 predominately African American young adults living in an urban environment. The data also included observational measures of physical and social order and disorder collected on the young adult’s residential block. Exploratory structural equation modeling (ESEM) was utilized to test hypothesized relationships between these two features of the neighborhood environment and past year young adult marijuana use. A two-factor model of neighborhood environment with good fit indices was selected (CFI = 0.97, RMSEA = 0.037). There was a positive and significant direct effect from neighborhood physical disorder to marijuana use (0.219, p < 0.05) controlling for gender, race, and free and reduced price meal (FARPM) status. The direct effect from neighborhood social environment to marijuana use was not significant. These results converge with previous research linking vacant housing with young adult marijuana use but do not provide empirical support for the neighborhood social environment as a determinant of drug taking. Better explication of the social environment is needed to understand its relationship to drug use.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1

Similar content being viewed by others

References

  • Asparouhov, T., & Muthen, B. (2009). Exploratory structural equation modeling. Structural Equation Modeling A Multidisciplinary Journal, 16, 397–438.

    Article  Google Scholar 

  • Azur, M. J., Stuart, E. A., Frangakis, C., & Leaf, P. J. (2011). Multiple imputation by chained equations: what is it and how does it work? International Journal of Methods in Psychiatric Research, 20, 40–49.

    Article  PubMed Central  PubMed  Google Scholar 

  • Beauducel, A., & Herzberg, P. Y. (2006). On the performance of maximum likelihood versus means and variance adjusted weighted least squares estimation in CFA. Structural Equation Modeling, 13, 186–203.

    Article  Google Scholar 

  • Bolland, J. M., Bryant, C. M., Lian, B. E., McCallum, D. M., Vazsonyi, A. T., & Barth, J. M. (2007). Development and risk behavior among African American, Caucasian, and mixed-race adolescents living in high poverty inner-city neighborhoods. American Journal of Community Psychology, 40, 230–249.

    Article  PubMed  Google Scholar 

  • Browne, M. W. (2001). An overview of analytic rotation in exploratory factor analysis. Multivariate Behavioral Research, 36, 111–150.

    Article  Google Scholar 

  • Burlew, A. K., Johnson, C. S., Flowers, A. M., Peteet, B. J., Griffith-Henry, K. D., & Buchanan, N. D. (2009). Neighborhood risk, parental supervision and the onset of substance use among African American adolescents. Journal of Child and Family Studies, 18, 680–689.

    Article  Google Scholar 

  • Buu, A., DiPiazza, C., Wang, J., Puttler, L. I., Fitzgerald, H. E., & Zucker, R. A. (2009). Parent, family, and neighborhood effects on the development of child substance use and other psychopathology from preschool to the start of adulthood. Journal of Studies on Alcohol & Drugs, 70, 489–498.

    Article  Google Scholar 

  • Cerdá, M., Tracy, M., Messner, S. F., Vlahov, D., Tardiff, K., & Galea, S. (2009). Misdemeanor policing, physical disorder, and gun-related homicide: a spatial analytic test of “broken-windows” theory. Epidemiology, 20, 533–541.

    Article  PubMed  Google Scholar 

  • Cohen, D. A., Mason, K., Bedimo, A., Scribner, R., Basolo, V., & Farley, T. A. (2003). Neighborhood physical conditions and health. American Journal of Public Health, 93, 467–471.

    Article  PubMed Central  PubMed  Google Scholar 

  • Crum, R. M., Lillie-Blanton, M., & Anthony, J. C. (1996). Neighborhood environment and opportunity to use cocaine and other drugs in late childhood and early adolescence. Drug and Alcohol Dependence, 43, 155–161.

    Article  CAS  PubMed  Google Scholar 

  • Eaton, D. K., Kann, L., Kinchen, S., Shanklin, S., Flint, K. H., Hawkins, J., et al. (2012). Youth risk behavior surveillance—United States, 2011. Morbidity and Mortality Weekly Report Surveillance Summary, 61, 1–162.

    Google Scholar 

  • Fergusson, D. M., Horwood, L. J., & Swain-Campbell, N. (2002). Cannabis use and psychosocial adjustment in adolescence and young adulthood. Addiction Abingdon England, 97, 1123–1135.

    Article  Google Scholar 

  • Fischer, C. S., Stockmayer, G., Stiles, J., & Hout, M. (2004). Distinguishing the geographic levels and social dimensions of U.S. metropolitan segregation, 1960–2000. Demography, 41, 37–59.

    Article  PubMed  Google Scholar 

  • Foster, H., & Brooks-Gunn, J. (2013). Neighborhood influences on antisocial behavior during childhood and adolescence. In C. L. Gibson & M. D. Krohn (Eds.), Handbook of life-course criminology (pp. 69–90). New York: Springer.

    Chapter  Google Scholar 

  • Furr-Holden, C. D. M., Ialongo, N. S., Anthony, J. C., Petras, H., & Kellam, S. G. (2004). Developmentally inspired drug prevention: middle school outcomes in a school-based randomized prevention trial. Drug and Alcohol Dependence, 73, 149–158.

    Article  PubMed  Google Scholar 

  • Furr-Holden, C. D. M., Smart, M. J., Pokorni, J. L., Ialongo, N. S., Leaf, P. J., Holder, H. D., & Anthony, J. C. (2008). The NIfETy method for environmental assessment of neighborhood-level indicators of violence, alcohol, and other drug exposure. Prevention Science, 9, 245–255.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  • Furr-Holden, C. D. M., Campbell, K., Milam, A. J., Smart, M. J., Ialongo, N. S., & Leaf, P. J. (2010). Metric properties of the Neighborhood Inventory for Environmental Typology (NIfETy): an environmental assessment tool for measuring indicators of violence, alcohol, tobacco, and other drug exposures. Evaluation Review, 34, 159–184.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  • Furr-Holden, C. D. M., Lee, M. H., Milam, A. J., Johnson, R. M., Lee, K.-S., & Ialongo, N. S. (2011). The growth of neighborhood disorder and marijuana use among urban adolescents: a case for policy and environmental interventions. Journal of Studies on Alcohol and Drugs, 72, 371–379.

    Article  PubMed Central  PubMed  Google Scholar 

  • Gary, T. L., Stark, S. A., & LaVeist, T. A. (2007). Neighborhood characteristics and mental health among African Americans and whites living in a racially integrated urban community. Health & Place, 13, 569–575.

    Article  Google Scholar 

  • Glaeser, E. L., & Vigdor, J. L. (2001). Racial segregation in the 2000 Census: promising news. Brookings Institution Survey Series. Washington: Brookings Institution. Retrieved from: http://www.brookings.edu/~/media/Files/rc/reports/2001/04demographics_edward%20l%20%20glaeser%20and%20jacob%20l%20%20vigdor/glaeser.pdf.

  • Graham, J. W. (2009). Missing data analysis: making it work in the real world. Annual Review of Psychology, 60, 549–576.

    Article  PubMed  Google Scholar 

  • Jeffery, C. R. (1971). Crime prevention through environmental design. California: Sage.

    Google Scholar 

  • Jeffery, C. R. (1990). Criminology: an interdisciplinary approach. New Jersey: Prentice-Hall.

    Google Scholar 

  • Jeffery, C. R., & Zahm, D. L. (1993). Crime prevention through environmental design, opportunity theory, and rational choice models. In R. V. Clark & M. Felson (Eds.), Routine activity and rational choice. Advances in criminological theory, vol. 5. New Jersey: Transaction Publishers.

    Google Scholar 

  • Lambert, S. F., Brown, T., Phillips, C. M., & Ialongo, N. S. (2004). The relationship between perceptions of neighborhood characteristics and substance use among urban African American adolescents. American Journal of Community Psychology, 34, 205–218.

    Article  PubMed  Google Scholar 

  • Lessem, J. M., Hopfer, C. J., Haberstick, B. C., Timberlake, D., Ehringer, M. A., Smolen, A., & Hewitt, J. K. (2006). Relationship between adolescent marijuana use and young adult illicit drug use. Behavior Genetics, 36, 498–506.

    Article  PubMed  Google Scholar 

  • Leventhal, T., & Brooks-Gunn, J. (2000). The neighborhoods they live in: the effects of neighborhood residence on child and adolescent outcomes. Psychological Bulletin, 126, 309–337.

    Article  CAS  PubMed  Google Scholar 

  • Little, R. J., & Rubin, D. B. (1987). Statistical analysis with missing data. New York: J. Wiley & Sons.

    Google Scholar 

  • Mair, J. S., & Mair, M. (2003). Violence prevention and control through environmental modifications. Annual Review of Public Health, 24, 209–225.

    Article  PubMed  Google Scholar 

  • Marsh, H. W., Muthén, B., Asparouhov, T., Lüdtke, O., Robitzsch, A., Morin, A. J. S., & Trautwein, U. (2009). Exploratory structural equation modeling, integrating CFA and EFA: application to students’ evaluations of university teaching. Structural Equation Modeling A Multidisciplinary Journal, 16, 439–476.

    Article  Google Scholar 

  • Mauricio, A. M., Little, M., Chassin, L., Knight, G. P., Piquero, A. R., Losoya, S. H., & Vargas-Chanes, D. (2009). Juvenile offenders’ alcohol and marijuana trajectories: risk and protective factor effects in the context of time in a supervised facility. Journal of Youth and Adolescence, 38, 440–453.

    Article  PubMed Central  PubMed  Google Scholar 

  • McAdams, T., Rowe, R., Rijsdijk, F., Maughan, B., & Eley, T. C. (2012). The covariation of antisocial behavior and substance use in adolescence: a behavioral genetic perspective. Journal of Research on Adolescence, 22, 100–112.

    Article  Google Scholar 

  • Muthén, L. K., Muthén, B. O. (1998–2010). Mplus user’s guide (6th ed.). Los Angeles, CA: Author.

  • Perkins, D. D., Meeks, J. W., & Taylor, R. B. (1992). The physical environment of street blocks and resident perceptions of crime and disorder: implications for theory and measurement. Journal of Environmental Psychology, 12, 21–34.

    Article  Google Scholar 

  • Perkins, D. D., Brown, B. B., & Taylor, R. B. (1996). The ecology of empowerment: predicting participation in community organizations. Journal of Social Issues, 52, 85–110.

    Article  Google Scholar 

  • Reboussin, B. A., Hubbard, S., & Ialongo, N. S. (2007). Marijuana use patterns among African-American middle-school students: a longitudinal latent class regression analysis. Drug and Alcohol Dependence, 90, 12–24.

    Article  PubMed Central  PubMed  Google Scholar 

  • Roosa, M. W., Jones, S., Tein, J.-Y., & Cree, W. (2003). Prevention science and neighborhood influences on low-income children’s development: theoretical and methodological issues. American Journal of Community Psychology, 31, 55–72.

    Article  PubMed  Google Scholar 

  • Rubin, D. B. (1987). Multiple imputation for nonresponse in surveys. New York: John Wiley & Sons.

    Book  Google Scholar 

  • Sampson, R. J., Raudenbush, S. W., & Earls, F. (1997). Neighborhoods and violent crime: a multilevel study of collective efficacy. Science, 277, 918–924.

    Article  CAS  PubMed  Google Scholar 

  • Snedker, K. A., Herting, J. R., & Walton, E. (2013). Neighborhood resources and adolescent health and risk behaviors. In N. Hoque, M. A. McGehee, & B. S. Bradshaw (Eds.), Applied demography and public health (pp. 215–229). Netherlands: Springer.

    Chapter  Google Scholar 

  • StataCorp. (2009). Stata statistical software: Release 11. College Station: StataCorp LP.

    Google Scholar 

  • Substance Abuse and Mental Health Services Administration. (2010). Results from the 2009 national survey on drug use and health: volume I. Summary of national findings (HHS Publication No. SMA 10–4856). Rockville: Office of Applied Studies.

    Google Scholar 

  • Tarter, R. E., Kirisci, L., Ridenour, T., & Vanyukov, M. (2008). Prediction of cannabis use disorder between childhood and young adulthood using the Child Behavior Checklist. Journal of Psychopathology and Behavioral Assessment, 30, 272–278.

    Article  Google Scholar 

  • Tarter, R. E., Kirisci, L., Gavaler, J. S., Reynolds, M., Kirillova, G., Clark, D. B., Wu, J., et al. (2009). Prospective study of the association between abandoned dwellings and testosterone level on the development of behaviors leading to cannabis use disorder in boys. Biological Psychiatry, 65, 116–121.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  • Taylor, R. B., Gottfredson, S. D., & Brower, S. (1984). Block crime and fear: defensible space, local social ties, and territorial functioning. Journal of Research in Crime and Delinquency, 21, 303–331.

    Article  Google Scholar 

  • Theall, K. P., Sterk, C. E., & Elifson, K. W. (2009). Perceived neighborhood fear and drug use among young adults. American Journal of Health Behavior, 33, 353–365.

    Article  PubMed Central  PubMed  Google Scholar 

  • Tucker, J. S., Pollard, M. S., de la Haye, K., Kennedy, D. P., & Green, H. D., Jr. (2013). Neighborhood characteristics and the initiation of marijuana use and binge drinking. Drug and Alcohol Dependence, 128, 83–89.

    Article  PubMed Central  PubMed  Google Scholar 

  • Wasserman, I. M., & Stack, S. (2008). Lethal locations: an application of opportunity theory to motel suicide, a research note. Death Studies, 32, 757–767.

    Article  PubMed  Google Scholar 

  • Windle, M., & Wiesner, M. (2004). Trajectories of marijuana use from adolescence to young adulthood: predictors and outcomes. Development and Psychopathology, 16, 1007–1027.

    Article  PubMed  Google Scholar 

  • Winstanley, E. L., Steinwachs, D. M., Ensminger, M. E., Latkin, C. A., Stitzer, M. L., & Olsen, Y. (2008). The association of self-reported neighborhood disorganization and social capital with adolescent alcohol and drug use, dependence, and access to treatment. Drug and Alcohol Dependence, 92, 173–182.

    Article  PubMed Central  PubMed  Google Scholar 

  • Yu, C. Y. (2002). Evaluating cutoff criteria of model fit indices for latent variable models with binary and continuous outcomes (doctoral dissertation).

Download references

Grant Support

This work was supported by the National Institute on Alcoholism and Alcohol Abuse (NIAAA) R01AA015196; the National Institute on Drug Abuse (NIDA) R37-DA0011796, NIDA Grant DA032550; grant NIDA KOI-DA31738 and the Centers for Disease Control and Prevention (CDC) 1U01CE001954-01A1.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to C. Debra M. Furr-Holden.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Furr-Holden, C.D.M., Lee, M.H., Johnson, R. et al. Neighborhood Environment and Marijuana Use in Urban Young Adults. Prev Sci 16, 268–278 (2015). https://doi.org/10.1007/s11121-014-0497-8

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11121-014-0497-8

Keywords

Navigation