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Journal of Child and Family Studies

, Volume 28, Issue 2, pp 447–456 | Cite as

Family and Peer Influences on Substance Attitudes and Use among Juvenile Justice-Involved Youth

  • Tamika C. B. ZapolskiEmail author
  • Richelle L. Clifton
  • Devin E. Banks
  • Alexandra Hershberger
  • Matthew Aalsma
Original Paper
  • 143 Downloads

Abstract

Juvenile justice-involved youth experience high rates of substance use, which is concerning given associated negative consequences, including health and functional deficits. Family and peer factors are associated with a high risk of substance use among justice-involved youth. It is hypothesized that this risk process operates through pro-drug attitudes. However, limited research has been conducted on the mechanisms through which family and peer factors increase risk for substance use among juvenile justice involved youth. The current study examined both the direct and indirect effects of family and peer substance use on youth’s substance use (alcohol and illicit drug use). We also examined whether this relationship differs by race. Two hundred twenty six detained youth (81.9% male; 74.3% Black) were recruited from an urban county in the Midwest and completed a clinical interview and substance use assessment battery. A direct effect of family/peer risk on illicit drug use was found for all youth, though the effect was stronger among White youth. Results also supported the indirect effect pathway from family/peer risk to both illicit drug use and alcohol use through pro-drug attitudes. This pathway did not vary by race. These findings suggest that interventions should focus on targeting both family/peer risk and pro-drug attitudes to reduce substance use. Given the racial difference in the direct effect of family/peer risk on illicit drug use, there may be other factors that influence risk more strongly for White youth, which warrants further investigation.

Keywords

Family Peer Substance use Attitudes Juvenile justice 

Notes

Author Contributions

T.C.B.Z.: designed and executed the study, assisted in the data analytic plan, and wrote the paper. R.L.C.: collaborated with the design and writing of the paper. D.E.B.: assisted with data collection, analyzed the data and writing of the paper. A.H.: assisted with data collection, collaborated in the design and writing of the paper. M.A.: designed the original data collection, collaborated in the writing and editing of the final manuscript.

Funding

Work was supported by NIH award KL2TR001106, K01DA043654, R25DA035163, P30DA027827, F31AA024682, and F31DA044728.

Compliance with Ethical Standards

Conflict of Interest

The authors declare that they have no conflict of interest.

Ethical Approval

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. Indiana University—Purdue University, Indianapolis provided IRB approval for this study.

Informed Consent

Assent for clinical assessments was obtained from all individual participants included in the study. Participants were wards of the local justice system at the time of the assessment and that justice system provided consent for the clinical assessment from which data was drawn for the current study.

References

  1. Aarons, G. A., Brown, S. A., Coe, M. T., Myers, M. G., Garland, A. F., Ezzet-Lofstram, R., & Hough, R. L. (1999). Adolescent alcohol and drug abuse and health. Journal of Adolescent Health, 24(6), 412–421.Google Scholar
  2. Achenbach, T. M., & Rescorla, L. A. (2001). Manual for the ASEBA school-age forms & profiles. Burlington, VT: University of Vermont, Research Center for Children, Youth, & Families (USA).Google Scholar
  3. Akers, R. L. (1977). Deviant behavior: A social learning approach. 2nd edn. Belmont, CA: Wadsworth.Google Scholar
  4. Allen, M., Donohue, W. A., Griffin, A., Ryan, D., & Turner, M. M. M. (2003). Comparing the influence of parents and peers on the choice to use drugs: A meta-analytic summary of the literature. Criminal Justice and Behavior, 30(2), 163–186.Google Scholar
  5. Ashby Wills, T., & Yaeger, A. M. (2003). Family factors and adolescent substance use: Models and mechanisms. Current Directions in Psychological Science, 12(6), 222–226.Google Scholar
  6. Bahr, S. J., Hoffmann, J. P., & Yang, X. (2005). Parental and peer influences on the risk of adolescent drug use. Journal of Primary Prevention, 26(6), 529–551.Google Scholar
  7. Bandura, A. (1986). Social foundations of thought and action: A social cognitive theory. Englewood Cliffs, NJ: Prentice-Hall.Google Scholar
  8. Barkin, S. L., Smith, K. S., & DuRant, R. H. (2002). Social skills and attitudes associated with substance use behaviors among young adolescents. Journal of Adolescent Health, 30(6), 448–454.Google Scholar
  9. Blanton, H., Gibbons, F. X., Gerrard, M., Conger, K. J., & Smith, G. E. (1997). Role of family and peers in the development of prototypes associated with substance use. Journal of Family Psychology, 11(3), 271–288.Google Scholar
  10. Chassin, L. (2008). Juvenile justice and substance use. The Future of Children, 18(2), 165–183.Google Scholar
  11. Chassin, L., Knight, G., Vargas-Chanes, D., Losoya, S. H., & Naranjo, D. (2009). Substance use treatment outcomes in a sample of male serious juvenile offenders. Journal of Substance Abuse Treatment, 36(2), 183–194.Google Scholar
  12. Chung, H. L., & Steinberg, L. (2006). Relations between neighborhood factors, parenting behaviors, peer deviance, and delinquency among serious juvenile offenders. Developmental Psychology, 42(2), 319–331.  https://doi.org/10.1037/0012-1649.42.2.319.Google Scholar
  13. Cleveland, M. J., Gibbons, F. X., Gerrard, M., Pomery, E. A., & Brody, G. H. (2005). The impact of parenting on risk cognitions and risk behavior: A study of mediation and moderation in a panel of African American adolescents. Child Development, 76(4), 900–916.Google Scholar
  14. Conn, B. M., & Marks, A. K. (2014). Ethnic/racial differences in peer and parent influence on adolescent prescription drug misuse. Journal of Developmental & Behavioral Pediatrics, 35(4), 257–265.Google Scholar
  15. Cooper, K., May, D., Soderstrom, I., & Jarjoura, G. R. (2009). Examining theoretical predictors of substance use among a sample of incarcerated youth. Journal of Offender Rehabilitation, 48(8), 669–695.  https://doi.org/10.1080/10509670903287675.Google Scholar
  16. Curtis, N. M., Ronan, K. R., & Borduin, C. M. (2004). Multisystemic treatment: A meta-analysis of outcome studies. Journal of family Psychology, 18(3), 411–419.Google Scholar
  17. Deutsch, A. R., Crockett, L. J., Wolff, J. M., & Russell, S. T. (2012). Parent and peer pathways to adolescent delinquency: Variations by ethnicity and neighborhood context. Journal of Youth and adolescence, 41(8), 1078–1094.Google Scholar
  18. Dishion, T. J., & Skaggs, N. M. (2000). An ecological analysis of monthly” bursts” in early adolescent substance use. Applied Developmental Science, 4(2), 89–97.Google Scholar
  19. Ewing, B. A., Osilla, K. C., Pedersen, E. R., Hunter, S. B., Miles, J. N., & D’Amico, E. J. (2015). Longitudinal family effects on substance use among an at-risk adolescent sample. Addictive Behaviors, 41, 185–191.  https://doi.org/10.1016/j.addbeh.2014.10.017.Google Scholar
  20. Fagan, A. A., Van Horn, M. L., Hawkins, J. D., & Jaki, T. (2013). Differential effects of parental controls on adolescent substance use: For whom is the family most important? Journal of Quantitative Criminology, 29(3), 347–368.Google Scholar
  21. Feldstein Ewing, S. W., Filbey, F. M., Loughran, T. A., Chassin, L., & Piquero, A. R. (2015). Which matters most? Demographic, neuropsychological, personality, and situational factors in long-term marijuana and alcohol trajectories for justice-involved male youth. Psychology of Addictive Behaviors, 29(3), 603–612.  https://doi.org/10.1037/adb0000076.Google Scholar
  22. Gomez, R., Vance, A., & Gomez, R. M. (2014). Analysis of the convergent and discriminant validity of the CBCL, TRF, and YSR in a clinic-referred sample. Journal of Abnormal Child Psychology, 42(8), 1413–1425.Google Scholar
  23. Gordon, D. A., Graves, K., & Arbuthnot, J. (1995). The effect of functional family therapy for delinquents on adult criminal behavior. Criminal Justice and Behavior, 22(1), 60–73.Google Scholar
  24. Greenwood, P. (2008). Prevention and intervention programs for juvenile offenders. The Future of Children, 18(2), 185–210. http://www.jstor.org/stable/20179984.Google Scholar
  25. Hawkins, J. D., Catalano, R. F., & Miller, J. Y. (1992). Risk and protective factors for alcohol and other drug problems in adolescence and early adulthood: Implications for substance abuse prevention. Psychological Bulletin, 112(1), 64.Google Scholar
  26. Hayes, A. F. (2013). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach. New York, NY: The Guilford Press.Google Scholar
  27. Hemovich, V., Lac, A., & Crano, W. D. (2011). Understanding early-onset drug and alcohol outcomes among youth: The role of family structure, social factors, and interpersonal perceptions of use. Psychology, Health & Medicine, 16(3), 249–267.Google Scholar
  28. Henderson, C. E., Young, D. W., Jainchill, N., Hawke, J., Farkas, S., & Davis, R. M. (2007). Program use of effective drug abuse treatment practices for juvenile offenders. Journal of Substance Abuse Treatment, 32(3), 279–290.Google Scholar
  29. Henggeler, S. W., Clingempeel, W. G., Brondino, M. J., & Pickrel, S. G. (2002). Four-year follow-up of multisystemic therapy with substance-abusing and substance-dependent juvenile offenders. Journal of the American Academy of Child & Adolescent Psychiatry, 41(7), 868–874.Google Scholar
  30. Henggeler, S. W., Halliday-Boykins, C. A., Cunningham, P. B., Randall, J., Shapiro, S. B., & Chapman, J. E. (2006). Juvenile drug court: Enhancing outcomes by integrating evidence-based treatments. Journal of Consulting and Clinical Psychology, 74(1), 42.Google Scholar
  31. Henggeler, S. W., Letourneau, E. J., Chapman, J. E., Borduin, C. M., Schewe, P. A., & McCart, M. R. (2009). Mediators of change for Multisystemic Therapy with juvenile sexual offenders. Journal of Consulting and Clinical Psychology, 77(3), 451–462.  https://doi.org/10.1037/a0013971.Google Scholar
  32. Henggeler, S. W., Melton, G. B., & Smith, L. A. (1992). Family preservation using multisystemic therapy: An effective alternative to incarcerating serious juvenile offenders. Journal of Consulting and Clinical Psychology, 60(6), 953–961.  https://doi.org/10.1037/0022-006X.60.6.953.Google Scholar
  33. Henggeler, S. W., Pickrel, S. G., & Brondino, M. J. (1999). Multisystemic treatment of substance-abusing and-dependent delinquents: Outcomes, treatment fidelity, and transportability. Mental Health Services Research, 1(3), 171–184.Google Scholar
  34. Henry, K. L., Oetting, E. R., & Slater, M. D. (2009). The role of attachment to family, school, and peers in adolescents’ use of alcohol: A longitudinal study of within-person and between-persons effects. Journal of counseling Psychology, 56(4), 564.Google Scholar
  35. Hine, D. W., McKenzie-Richer, A., Lewko, J., Tilleczek, K., & Perreault, L. (2002). A comparison of the mediational properties of four adolescent smoking expectancy measures. Psychology of Addictive Behaviors, 16(3), 187–195.  https://doi.org/10.1037//0893-164X.16.3.187.Google Scholar
  36. Hockenberry, S., & Puzzanchera, C. (2015). Juvenile Court Statistics 2013. Pittsburgh, PA: National Center for Juvenile Justice.Google Scholar
  37. Ivanova, M. Y., Achenbach, T. M., Rescorla, L. A., Dumenci, L., Almqvist, F., Bilenberg, N., Bird, H., Broberg, A. G., Dobrean, A., Dopfner, M., & Erol, N. (2007). The generalizability of the Youth Self-Report syndrome structure in 23 societies. Journal of consulting and Clinical Psychology, 75(5), 729.Google Scholar
  38. Johnston, L. D., O’Malley, P. M., Bachman, J. G., Schulenberg, J. E., & Miech, R. A. (2016). Monitoring the future national survey results on drug use, 1975–2015: Volume II, college students and adults ages 19–55. ​Ann Arbor, MI: Institute for Social Research, The University of Michigan.Google Scholar
  39. Kazdin, A. E. (2007). Mediators and mechanisms of change in psychotherapy research. Annual Review in Clinical Psychology, 3, 1–27.Google Scholar
  40. Kazdin, A. E., & Kendall, P. C. (1998). Current progress and future plans for developing effective treatments: Comments and perspectives. Journal of Clinical Child Psychology, 27(2), 217–226.Google Scholar
  41. Krischer, M. K., Sevecke, K., Lehmkuhl, G., & Pukrop, R. (2007). Dimensional assessment of personality pathology in female and male juvenile delinquents. Journal of Personality Disorders, 21(6), 675–689.Google Scholar
  42. Krohn, M. D., Lizotte, A. J., Thornberry, T. P., Smith, C., & McDowall, D. (1996). Reciprocal causal relationships among drug use, peers, and beliefs: A five-wave panel model. Journal of Drug Issues, 26(2), 405–428.Google Scholar
  43. Lewis, T. F., & Mobley, A. K. (2010). Substance abuse and dependency risk: The role of peer perceptions, marijuana involvement, and attitudes toward substance use among college students. Journal of Drug Education, 40(3), 299–314.Google Scholar
  44. Liddle, H. A., Dakof, G. A., Henderson, C., & Rowe, C. (2011). Implementation outcomes of multidimensional family therapy-detention to community: A reintegration program for drug-using juvenile detainees. International Journal of Offender Therapy and Comparative Criminology, 55(4), 587–604.Google Scholar
  45. Mason, M. J., Mennis, J., Linker, J., Bares, C., & Zaharakis, N. (2014). Peer attitudes effects on adolescent substance use: the moderating role of race and gender. Prevention Science, 15(1), 56–64.Google Scholar
  46. 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(3), 440–453.  https://doi.org/10.1007/s10964-008-9324-5.Google Scholar
  47. McClelland, G. M., Teplin, L. A., & Abram, K. M. (2004). Detection and prevalence of substance use among juvenile detainees. Juvenile Justice Bulletin. Washington, DC: U.S. Department of Justice, Office of Justice Programs, Office of Juvenile Justice and Delinquency Prevention. https://www.ncjrs.gov/pdffiles1/ojjdp/203934.pdf.Google Scholar
  48. Miller, F. G., & Lazowski, L. E. (2001). The adolescent SASSI-2 manual: Identifying substance use disorders. Springville, IN: The SASSI Institute.Google Scholar
  49. Miller, F. G., Renn, W. R., & Lazowski, L. E. (2001). The adolescent substance abuse subtle screening inventory–second edition (SASSI-A2): User’s guide.Google Scholar
  50. Miller, S. M., Siegel, J. T., Hohman, Z., & Crano, W. D. (2013). Factors mediating the association of the recency of parent’s marijuana use and their adolescent children’s subsequent initiation. Psychology of Addictive Behaviors, 27(3), 848–853.  https://doi.org/10.1037/a0032201.Google Scholar
  51. Moss, H. B., Chen, C. M., & Yi, H. Y. (2014). Early adolescent patterns of alcohol, cigarettes, and marijuana polysubstance use and young adult substance use outcomes in a nationally representative sample. Drug and Alcohol dependence, 136, 51–62.Google Scholar
  52. Mulder, E., Brand, E., Bullens, R., & Van Marle, H. (2011). Risk factors for overall recidivism and severity of recidivism in serious juvenile offenders. International Journal of Offender Therapy and Comparative Criminology, 55(1), 118–135.Google Scholar
  53. Nelson, B. A. (2016). Juvenile delinquency: Causes, control and consequence. New York, NY: Nova Science Publishers, Incorporated.Google Scholar
  54. Office of Applied Studies. (2003). Substance use, abuse, and dependence among youths who have been in jail or a detention center. Rockville, MD: Substance Abuse and Mental Health Services Administration. http://oas.samhsa.gov/2k4/DetainedYouth/detainedYouth.pdf.Google Scholar
  55. Ozechowski, T. J., & Liddle, H. A. (2000). Family-based therapy for adolescent drug abuse: Knowns and unknowns. Clinical Child and Family Psychology Review, 3(4), 269–298.Google Scholar
  56. Perera‐Diltz, D. M., & Perry, J. C. (2011). Screening for adolescent substance‐related disorders using the SASSI‐A2: Implicatins for nonreporting youth. Journal of Addictions & Offender Counseling, 31(2), 66–79.Google Scholar
  57. Petraitis, J., Flay, B. R., & Miller, T. Q. (1995). Reviewing theories of adolescent substance use: Organizing pieces in the puzzle. Psychological Bulletin, 117(1), 67–86.Google Scholar
  58. Prinstein, M. J., Boergers, J., & Spirito, A. (2001). Adolescents’ and their friends’ health-risk behavior: Factors that alter or add to peer influence. Journal of pediatric Psychology, 26(5), 287–298.Google Scholar
  59. Randall, J., Henggeler, S. W., Cunningham, P. B., Rowland, M. D., & Swenson, C. C. (2001). Adapting multisystemic therapy to treat adolescent substance abuse more effectively. Cognitive and Behavioral Practice, 8(4), 359–366.Google Scholar
  60. Reed, M. D., & Rountree, P. W. (1997). Peer pressure and adolescent substance use. Journal of Quantitative Criminology, 13(2), 143–180.Google Scholar
  61. Rowe, C. L., Wang, W., Greenbaum, P., & Liddle, H. A. (2008). Predicting HIV/STD risk level and substance use disorders among incarcerated adolescents. Journal of Psychoactive Drugs, 40(4), 503–512.Google Scholar
  62. Stein, L. A. R., Lebeau-Craven, R., Martin, R., Colby, S. M., Barnett, N. P., Golembeske, Jr, C., & Penn, J. V. (2005). Use of the adolescent SASSI in a juvenile correctional setting. Assessment, 12(4), 384–394.Google Scholar
  63. Thompson, S. J., Pomeroy, E. C., & Gober, K. (2005). Family-based treatment models targeting substance use and high-risk behaviors among adolescents: A review. Journal of Evidence-Based Social Work, 2(1-2), 207–233.Google Scholar
  64. Thornberry, T. P. (1987). Toward an interactional theory of delinquency. Criminology, 25(4), 863–892.Google Scholar
  65. Thurber, S., & Hollingsworth, D. K. (1992). Validity of the Achenback and Edelbrock Youth Self-Report with hospitalized adolescents. Journal of Clinical Child and Adolescent Psychology, 21(3), 249–254.Google Scholar
  66. Tripodi, S. J., & Bender, K. (2011). Substance abuse treatment for juvenile offenders: A review of quasi-experimental and experimental research. Journal of Criminal Justice, 39(3), 246–252.Google Scholar
  67. van der Put, C. E., Creemers, H. E., & Hoeve, M. (2014). Differences between juvenile offenders with and without substance use problems in the prevalence and impact of risk and protective factors for criminal recidivism. Drug and Alcohol dependence, 134, 267–274.Google Scholar
  68. Vaughn, M. G., Wallace, Jr, J. M., Davis, L. E., Fernandes, G. T., & Howard, M. O. (2008). Variations in mental health problems, substance use, and delinquency between African American and Caucasian juvenile offenders: Implications for reentry services. International Journal of Offender Therapy and Comparative Criminology, 52(3), 311–329.Google Scholar
  69. Vincent, G. M., Grisso, T., Terry, A., & Banks, S. (2008). Sex and race differences in mental health symptoms in juvenile justice: The MAYSI-2 national meta-analysis. Journal of the American Academy of Child & Adolescent Psychiatry, 47(3), 282–290.Google Scholar
  70. Vreugdenhil, C., van den Brink, W., Ferdinand, R., Wouters, L., & Doreleijers, T. (2006). The ability of YSR scales to predict DSM/DISC–C psychiatric disorders among incarcerated male adolescents. European Child & Adolescent Psychiatry, 15(2), 88–96.Google Scholar
  71. Wallace, J. M., & Muroff, J. R. (2002). Preventing substance abuse among African American children and youth: Race differences in risk factor exposure and vulnerability. Journal of Primary Prevention, 22(3), 235–261.Google Scholar
  72. Watt, T. T. (2005). Race/ethnic differences in alcohol abuse among youth: An examination of risk-taking attitudes as a mediating factor. Journal of Ethnicity in Substance Abuse, 3(3), 33–47.Google Scholar
  73. Welty, L. J., Harrison, A. J., Abram, K. M., Olson, N. D., Aaby, D. A., McCoy, K. P., & Teplin, L. A. (2016). Health disparities in drug- and alcohol-use disorders: A 12-year longitudinal study of youths after detention. American Journal of Public Health, 106(5), 872–880.  https://doi.org/10.2105/AJPH.2015.303032.Google Scholar
  74. Wiesner, M., Kim, H. K., & Capaldi, D. M. (2005). Developmental trajectories of offending: Validation and prediction to young adult alcohol use, drug use, and depressive symptoms. Development and psychopathology, 17(1), 251–270.Google Scholar
  75. Wills, T. A., & Yaeger, A. M. (2003). Family factors and adolescent substance use: Models and mechanisms. Current Directions in Psychological Science, 12(6), 222–226.Google Scholar
  76. Young, D. W., Dembo, R., & Henderson, C. E. (2007). A National Survey of Substance Abuse Treatment for Juvenile Offenders. Journal of Substance Abuse Treatment, 32(3), 255–266.  https://doi.org/10.1016/j.jsat.2006.12.018.Google Scholar

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Authors and Affiliations

  1. 1.Department of PsychologyIndiana University Purdue University - IndianapolisIndianapolisUSA
  2. 2.Department of PediatricsIndiana UniversityIndianapolisUSA

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