Abstract
Adolescents with depression disorders have higher rates of substance use. In order to advance contextually relevant mental health interventions, basic research is needed to test social ecological mechanisms hypothesized to influence adolescent depression and substance use. Accordingly, we conducted growth curve modeling with a sample of 248 urban adolescents to determine if depression’s effect on substance use was dependent upon peer network health (sum of peer risk and protective behaviors) and activity space risk (likelihood of high-risk behaviors at routine locations). Results showed that peer network health moderated the effects of depression on substance use, but this effect was not altered by activity space risk. These findings suggest the importance of peer network health relative to depression and substance use, particularly for young adolescents.
Similar content being viewed by others
References
Ali, M. M., Amialchuk, A., & Dwyer, D. S. (2011). The social contagion effect of marijuana use among adolescents. PLoS One, 6(1), e16183.
Arthur, M. W., Hawkins, J. D., Pollard, J. A., Catalano, R. F., & Baglioni, A. J. J. (2002). Measuring risk and protective factors for use, delinquency, and other adolescent problem behaviors: The communities that care youth survey. Evaluation Review, 26, 575–601. https://doi.org/10.1177/0193841X0202600601.
Bauman, K. E., & Ennett, S. T. (1996). On the importance of peer influence for adolescent drug use: Commonly neglected considerations. Addiction, 91(2), 185–198.
Bolger, K. E., Patterson, C. J., & Kupersmidt, J. B. (1998). Peer relationships and self-esteem among children who have been maltreated. Child Development, 69(4), 1171–1197.
Brendgen, M., Vitaro, F., & M. Bukowski, W. (2000). Deviant friends and early adolescents' emotional and behavioral adjustment. Journal of Research on Adolescence, 10(2), 173–189.
Browning, C. R., & Soller, B. (2014). Moving beyond neighborhood: Activity spaces and ecological networks as contexts for youth development. Cityscape, 16(1), 165 PMCID: PMC4121985.
Center for Behavioral Health Statistics and Quality. (2016). 2015 National Survey on Drug Use and Health: Detailed Tables. Substance Abuse and Mental Health Services Administration, Rockville.
Deutsch, A. R., Chernyavskiy, P., Steinley, D., & Slutske, W. S. (2015). Measuring peer socialization for adolescent substance use: A comparison of perceived and actual friends’ substance use effects. Journal of Studies on Alcohol and Drugs, 76(2), 267–277.
Easy Analytic Software Inc (2016) EASI Demographic. http://www.easidemographics.com/
Fredricks, J. A., & Eccles, J. S. (2008). Participation in extracurricular activities in the middle school years: Are there developmental benefits for African American and European American youth? Journal of Youth and Adolescence, 37(9), 1029–1043.
Golledge, R., & Stimson, R. (1997). Spatial behavior: A geographic behavior. New York: Guilford Press.
Goodchild, M. F., & Janelle, D. G. (1984). The city around the clock: Space—time patterns of urban ecological structure. Environment and Planning A, 16(6), 807–820.
Gutman, L. M., & Sameroff, A. J. (2004). Continuities in depression from adolescence to young adulthood: Contrasting ecological influences. Development and Psychopathology, 16(04), 967–984.
Huang, G. C., Unger, J. B., Soto, D., Fujimoto, K., Pentz, M. A., Jordan-Marsh, M., & Valente, T. W. (2014). Peer influences: The impact of online and offline friendship networks on adolescent smoking and alcohol use. Journal of Adolescent Health, 54(5), 508–514.
Kessler, R. C., Amminger, G. P., Aguilar-Gaxiola, S., Alonso, J., Lee, S., & Ustun, T. B. (2007). Age of onset of mental disorders: A review of recent literature. Current Opinion in Psychiatry, 20(4), 359.
Knecht, A. B., Burk, W. J., Weesie, J., & Steglich, C. (2011). Friendship and alcohol use in early adolescence: A multilevel social network approach. Journal of Research on Adolescence, 21(2), 475–487.
Korpela, K. (2012). Place attachment. In S. Clayton (Ed.), The Oxford handbook of environmental and conservation psychology. Oxford: Oxford University Press.
Kwan, M. P. (2013). Beyond space (as we knew it): Toward temporally integrated geographies of segregation, health, and accessibility: Space–time integration in geography and GIScience. Annals of the Association of American Geographers, 103(5), 1078–1086.
Lansford, J. E., Capanna, C., Dodge, K. A., Caprara, G. V., Bates, J. E., Pettit, G. S., & Pastorelli, C. (2007). Peer social preference and depressive symptoms of children in Italy and the United States. International Journal of Behavioral Development, 31(3), 274–283.
Light, J. M., Greenan, C. C., Rusby, J. C., Nies, K. M., & Snijders, T. A. (2013). Onset to first alcohol use in early adolescence: A network diffusion model. Journal of Research on Adolescence, 23(3), 487–499.
Mason, M. J. (2009). Social network characteristics of urban adolescents in brief substance abuse treatment. Journal of Child and Adolescent Substance Abuse, 18(1), 72–84. https://doi.org/10.1080/15470650802544123.
Mason, M. J. (2010). Attributing activity space as risky and safe: The social dimension to the meaning of place for urban adolescents. Health & Place, 16(5), 926–933 PMCID: PMC2918715.
Mason, M. (2014). Peer Networks. In Z. Sloboda & H. Petras (Eds.), Defining prevention science (pp. 171–193). New York: Springer Press.
Mason, M., Cheung, I., & Walker, L. (2004). Substance use, social networks, and the geography of urban adolescents. Substance Use & Misuse, 39(10–12), 1751–1777.
Mason, W. A., Hitchings, J. E., & Spoth, R. L. (2008). The interaction of conduct problems and depressed mood in relation to adolescent substance involvement and peer substance use. Drug and Alcohol Dependence, 96(3), 233–248.
Mason, M. J., Mennis, J., & Schmidt, C. D. (2011). A social operational model of urban adolescents’ tobacco and substance use: A mediational analysis. Journal of Adolescence, 34(5), 1055–1063.
Mason, M. J., Mennis, J., Way, T., & Zaharakis, N. (2015). The dynamic role of urban neighborhood effects in a text-messaging adolescent smoking intervention. Nicotine & Tobacco Research, 18(5), 1039–1045.
Mason, M. J., Aplasca, A., Morales-Theodore, R., Zaharakis, N., & Linker, J. (2016a). Psychiatric comorbidity and complications. Child and Adolescent Psychiatric Clinics of North America, 25(3), 521–532.
Mason, M. J., Sabo, R., & Zaharakis, N. M. (2016b). Peer network counseling as brief treatment for urban adolescent heavy cannabis users. Journal of Studies on Alcohol and Drugs, 78(1), 152–157.
Mennis, J., & Mason, M. (2011). People, places, and adolescent substance use: Integrating activity space and social network data for analyzing health behavior. The Annals of the Association of American Geographers., 101(2), 272–291. https://doi.org/10.1080/00045608.2010.53471.
Mennis, J., Mason, M., Light, J., Rusby, J., Westling, E., Way, T., Zaharakis, N., & Flay, B. (2016a). Does substance use moderate the association of neighborhood disadvantage with perceived stress and safety in the activity spaces of urban youth? Drug and Alcohol Dependence, 165, 288–292.
Mennis, J., Stahler, G., & Mason, M. (2016b). Risky substance use environments and addiction: A new frontier for environmental justice research. Journal of Environmental Research and Public Health, 13, 607. https://doi.org/10.3390/ijerph13060607.
Miller, H. J. (1991). Modelling accessibility using space-time prism concepts within geographical information systems. International Journal of Geographical Information System, 5(3), 287–301. https://doi.org/10.1080/02693799108927856.
Moberg, D. P., & Hahn, L. (1991). The adolescent drug involvement scale. Journal of Child & Adolescent Substance Abuse, 2(1), 75–88.
Oetting, E. R., Donnermeyer, J. F., & Deffenbacher, J. L. (1998). Primary socialization theory. The influence of the community on drug use and deviance. Ill. Substance Use & Misuse, 33(8), 1629–1665.
Pesola, F., Shelton, K. H., Heron, J., Munafò, M., Maughan, B., Hickman, M., & van den Bree, M. B. (2015). The mediating role of deviant peers on the link between depressed mood and harmful drinking. Journal of Adolescent Health, 56(2), 153–159.
Petraitis, J., Flay, B. R., & Miller, T. Q. (1995). Reviewing theories of adolescent substance use: Organizing pieces in the puzzle. Psychological Bulletin, 117(1), 67.
Reynolds, C. R., & Kamphaus, R. W. (2006). BASC-2: Behavior assessment system for children (Second ed.). Upper Saddle River: Pearson Education, Inc..
Rudolph, K. D., Flynn, M., & Abaied, J. L. (2008). A developmental perspective on interpersonal theories of youth depression. Handbook of depression in children and adolescents, 79–102.
Scott, S. M., Wallander, J. L., & Cameron, L. (2015). Protective mechanisms for depression among racial/ethnic minority youth: Empirical findings, issues, and recommendations. Clinical Child and Family Psychology Review, 18(4), 346–369.
Seidman, E., Chesir-Teran, D., Friedman, J. L., Yoshikawa, H., Allen, L., Roberts, A., & Aber, J. L. (1999). The risk and protective functions of perceived family and peer microsystems among urban adolescents in poverty. American Journal of Community Psychology, 27(2), 211–237.
Siennick, S. E., Widdowson, A. O., Woessner, M., & Feinberg, M. E. (2015). Internalizing symptoms, peer substance use, and substance use initiation. Journal of Research on Adolescence.
Sieving, R. E., Perry, C. L., & Williams, C. L. (2000). Do friendships change behaviors, or do behaviors change friendships? Examining paths of influence in young adolescents' alcohol use. Journal of Adolescent Health, 26(1), 27–35.
Smaldone, D., Harris, C., & Sanyal, N. (2008). The role of time in developing place meanings. Journal of Leisure Research, 40(4), 479–504.
Tomlinson, K. L., & Brown, S. A. (2012). Self-medication or social learning? A comparison of models to predict early adolescent drinking. Addictive Behaviors, 37(2), 179–186.
Valente, T. W., Unger, J. B., & Johnson, C. A. (2005). Do popular students smoke? The association between popularity and smoking among middle school students. Journal of Adolescent Health, 37(4), 323–329.
Valente, T. W., Fujimoto, K., Soto, D., Ritt-Olson, A., & Unger, J. B. (2013). A comparison of peer influence measures as predictors of smoking among predominately Hispanic/Latino high school adolescents. Journal of Adolescent Health, 52(3), 358–364.
Wong, D. W., & Shaw, S. L. (2011). Measuring segregation: An activity space approach. Journal of Geographical Systems, 13(2), 127–145.
Zenk, S. N., Schulz, A. J., Matthews, S. A., Odoms-Young, A., Wilbur, J., Wegrzyn, L., et al. (2011). Activity space environment and dietary and physical activity behaviors: a pilot study. Health & Place, 17(5), 1150–1161.
Funding
This research was supported by a Grant No. 1R01 DA031724-01A1, from the National Institute on Drug Abuse to the first author. The findings and conclusions are those of the authors and do not necessarily represent the views of the National Institute on Drug Abuse, or National Institute of Health.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of Interest
The authors declare that they have no conflict of interest.
Statement of Human Rights
We followed all ethical guidelines in conducting this research as laid down in the 1964 Declaration of Helsinki and its later amendments or comparable ethical standards.
Informed Consent
Informed consent was obtained from all individual participants included in the study.
Additional information
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Mason, M., Mennis, J., Russell, M. et al. Adolescent Depression and Substance Use: the Protective Role of Prosocial Peer Behavior. J Abnorm Child Psychol 47, 1065–1074 (2019). https://doi.org/10.1007/s10802-018-0501-z
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10802-018-0501-z