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Childhood Factors that Precede Drug Injection: Is there a Link?

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Abstract

Examination of childhood risk factors for injection drug use may provide clues as to why people progress to injection drug use and it can promote identification of at-risk youth. We surveyed current injection drug users (IDUs) and individuals who never injected drugs (non-IDUs), recruited through street outreach and snowball sampling in Denver, CO. Between March 2000 and October 2003, 601 subjects (339 IDUs and 262 non-IDUs) participated in structured interviews. We examined self-reported factors in childhood that may have been influential in whether one progressed to drug injection later in life. These indicators included age at drug and alcohol initiation, childhood risk behavior, parental monitoring, family stability, and other family problems. Differences between IDUs and non-IDUs were assessed using unadjusted tests and logistic regression. Results of the data analysis indicated that IDUs were significantly younger when they first used both alcohol and marijuana, they reported higher childhood risk behavior scores, and they had less parental monitoring and less family stability as children than non-IDUs. This research may assist clinicians in defining factors that put youth at risk for problems associated with injection drug use.

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References

  • Anthony, J. C., & Petronis, K. R. (1995). Early-onset drug use and risk of later drug problems. Drug & Alcohol Dependence, 40, 9–15.

    Article  Google Scholar 

  • Booth, R. E. (1995). The use of indicator and observational data for estimating hidden populations: Drug users in Denver, 1991–94. Rockville, MD: US Department of Health and Human Services.

    Google Scholar 

  • Booth, R. E., & Koester, S. K. (1996). Issues and approaches to evaluating HIV outreach interventions. Journal of Drug Issues, 26, 525–539.

    Google Scholar 

  • Chassin, L., Pitts, S. C., DeLucia, C., & Todd, M. (1999). A longitudinal study of children alcoholics: Predicting young adult substance use disorders, anxiety, and depression. Journal of Abnormal Psychology, 108, 106–119.

    Article  PubMed  Google Scholar 

  • Chassin, L., Rogosch, F., & Barrera, M. (1991). Substance use and symptomatology among adolescent children of alcoholics. Journal of Abnormal Psychology, 100, 449–463.

    Article  PubMed  Google Scholar 

  • Chilcoat, H. D., & Anthony, J. C. (1996). Impact of parent monitoring on initiation of drug use through late childhood. Journal of the American Academy of Child and Adolescent Psychiatry, 35, 91–100.

    Article  PubMed  Google Scholar 

  • Clark, D. B., Cornelius, J. R., Kirisci, L., & Tarter, R. E. (2005). Childhood risk categories for adolescent substance involvement: A general liability typology. Drug and Alcohol Dependence, 77, 13–21.

    Article  PubMed  Google Scholar 

  • Colorado Department of Public Health and Environment, S. H. S. (2005). HIV /AIDS in Colorado: Integrated Epidemiological Profile of HIV and AIDS Prevention and Care Planning Reported though June 2003 2004. Denver, CO: Author.

  • Des Jarlais, D. C., Paone, D., Milliken, J., Turner, C. F., Miller, H., Gribble, J., et al. (1999). Audio-computer interviewing to measure risk behaviour for HIV among injecting drug users: A quasi-randomised trial. The Lancet, 353(9165), 1657–1661.

    Article  Google Scholar 

  • Dinwiddie, S. H., Reich, T., & Cloninger, C. R. (1992). Patterns of lifetime drug use among intravenous drug users. Journal of Substance Abuse, 4, 1–11.

    Article  PubMed  Google Scholar 

  • Duncan, S. C., Duncan, T. E., Biglan, A., & Ary, D. (1998). Contributions of the social context to the development of adolescent substance use: A multivariate latent growth modeling approach. Drug and Alcohol Dependence, 50, 57–71.

    Article  PubMed  Google Scholar 

  • Garfein, R., Monterroso E. R., Tong T. C., Vlahov D., Des Jarlais D. C., Selwyn P., et al. (2004). Comparison of HIV infection risk behvarios among injectrion drug users from East and West coast US cities. Journal of Urban Health, 81, 260–267.

    PubMed  Google Scholar 

  • Greydanus, D. E., & Patel, D. R. (2005). The adolescent and substance abuse: Current concepts. Current Problems in Pediatric and Adolescent Health Care, 35, 78–98.

    Article  PubMed  Google Scholar 

  • 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, 64–105.

    Article  PubMed  Google Scholar 

  • Heckathorn, D. (1997). Respondent-driven samping: A new approach to the study of hidden populations. Social Problems, 44, 174–199.

    Article  Google Scholar 

  • Heimer, R., Clair, S., Grau, L., Bluthenthal, R., Marshall, P., & Singer, M. (2002). Hepatitis-associated knowledge is low and risks are high among HIV-aware injection drug users in three US cities. Addiction, 97, 1277–1287.

    Article  PubMed  Google Scholar 

  • Johnson, J. L., & Leff, M. (1999). Children of substance abusers: Overview of research findings. Pediatrics, 103, 1085–1099.

    PubMed  Google Scholar 

  • Kandel, D. B., & Logan, J. A. (1984). Patterns of drug use from adolescence to young adulthood: Periods of risk for intiation, continued use and discontinuation. American Journal of Public Health, 74, 660–666.

    PubMed  Google Scholar 

  • Kandel, D., & Yamaguchi, K. (1993). From beer to crack: Developmental patterns of drug involvement. American Journal of Public Health, 83, 851–855.

    PubMed  Google Scholar 

  • Kandel, D. B. (1982). Epidemiological and psychosocial perspectives on adolescent drug use. Journal of the American Academy of Child Psychiatry, 21, 328–347.

    Article  PubMed  Google Scholar 

  • Kandel, D. B., & Andrews, K. (1987). Process of adolescent socialization by parents and peers. International Journal of the Addictions, 22, 319–342.

    PubMed  Google Scholar 

  • Knight, D. K., Broome, K. M., Cross, D. R., & Simpson, D. D. (1998). Antisocial tendency among drug-addicted adults: Potential long-term effects of parental absence, support, and conflict during childhood. American Journal of Drug and Alcohol Abuse, 24.

  • Knight, D. K., Cross, D. R., Giles-Sims, J., & Simpson, D. D. (1995). Psychosocial functioning among adult drug users: The role of parental absence, support, and conflict. The International Journal of the Addictions, 30, 1271–1288.

    PubMed  Google Scholar 

  • Kosterman, R., Hawkins, J. D., Guo, J., Catalano, R. F., & Abbott, R. D. (2000). The dynamics of alcohol and marijuana initiation: Patterns and predictors of first use in adolescence. American Journal of Public Health, 90, 360–66.

    PubMed  Google Scholar 

  • Kumpfer, K. L., & Turner, C. W. (1991). The social ecology model of adolescent substance abuse: Implications for prevention. International Journal of the Addictions, 25, 435–463.

    Google Scholar 

  • Latkin, C. A., Vlahov, D., & Anthony, J. C. (1993). Socially desirable responding and self-reported HIV infection risk behaviors among intravenous drug users. Addiction, 88, 517–526.

    Article  PubMed  Google Scholar 

  • Lessler, J. T., Caspar, R. A., Penne, M. A., & Barker, P. R. (2000). Developing computer assisted interviewing (CAI) for the National Household Survey on Drug Abuse. Journal of Drug Issues, 30, 9–34.

    Google Scholar 

  • Macoby, E. E. (1992). The role of parents in the socialization of children: An historical overview. Developmental Psychology, 28, 1006–1017.

    Article  Google Scholar 

  • Magnani, R., Sabin, K., Saidel, T., & Heckathorn, D. (2005). Review of sampling hard-to-reach and hidden populations for HIV surveillance. AIDS, 19(Supplement 2), S67-S72.

    Article  PubMed  Google Scholar 

  • Mayfield, D., McLeod, G., & Hall, P. (1974). The CAGE questionnaire: Validation of a new alcoholism instrument. American Journal of Psychiatry, 131, 1121–1123.

    PubMed  Google Scholar 

  • McDermott, D. (1984). The relationship of parental drug use and parents’ attitude concerning adolescent drug use to adolescent drug use. Adolescence, 19, 89–97.

    PubMed  Google Scholar 

  • National Institute on Drug Abuse. (2005a). NIDA InfoFacts: Costs to society. Rockville, MD: US Department of Health and Human Services.

    Google Scholar 

  • National Institute on Drug Abuse. (2005b). NIDA InfoFacts: High school and youth trends. Rockville, MD: US Department of Health and Human Services.

    Google Scholar 

  • Needle, R., Fisher, D. G., Weatherby, N., Chitwood, D., Brown, B., Cesari, H., et al. (1995). Reliability of self-reported HIV risk behaviors of drug users. Psychology of Addictive Behaviors, 9, 242–250.

    Article  Google Scholar 

  • Nurco, D. N., Kinlock, T. W., O’Gracy, K. E., & Hanlon, T. E. (1998). Differential contributions of family and peer factors to the etiology of narcotic addiction. Drug and Alcohol Dependence, 51, 229–237.

    Article  PubMed  Google Scholar 

  • Olson, D. H. (1986). Circumplex Model VII: Validation studies and FACES III. Journal of Family Process, 25, 337–51.

    Article  Google Scholar 

  • Patterson, G. R., DeBaryshe, B. D., & Ramsey, E. (1989). A developmental perspective on antisocial behavior. American Psychologist, 44, 329–335.

    Article  PubMed  Google Scholar 

  • Rosenblum, A., Magura, S., Fong, C., Cleland, C., Norwood, C., Casella, D., et al. (2005). Substance use among young adolescents in HIV-affected families: Resiliency, peer deviance, and family functioning. Substance Use and Misuse, 40, 581–603.

    Article  PubMed  Google Scholar 

  • Rounsaville, B. J., Kosten, T. R., Weissman, M. M., Prusoff, B., Pauls, D., Anton, S. F., et al. (1991). Psychiatric disorders in relatives of probands with opiate addiction. Archives of General Psychiatry, 48, 33–42.

    PubMed  Google Scholar 

  • Shillington, A. M., Cottler, L. B., Mager, D. E., & Compton, W. M. III. (1995). Self-report stability for substance use over 10 years: Data from the St. Louis Epidemiologic Catchment Study. Drug and Alcohol Dependence, 40, 103–109.

    Article  PubMed  Google Scholar 

  • Steinberg, L., Fletcher, A., & Darling, N. (1994). Parental monitoring and peer influences on adolescent substance use. Pediatrics, 93(6 suppl 2), 1060–1064.

    PubMed  Google Scholar 

  • Suh, T., Mandell, W., Latkin, C., & Kim, J. (1997). Social network characteristics and injecting HIV-risk behaviors among street injection drug users. Drug and Alcohol Dependence, 47, 137–143.

    Article  PubMed  Google Scholar 

  • Thompson, S. K., & Collins, L. M. (2002). Adaptive sampling in research on risk-related behaviors. Drug and Alcohol Dependence, 68(Suppl), S57–S67.

    PubMed  Google Scholar 

  • Turner, C. F., Ku, L., Rogers, S. M., Lindberg, L. D., Pleck, J. H., & Sonenstein, F. L. (1998). Adolescent sexual behavior, drug use, and violence: Increased reporting with computer survey technology. Science, 280, 867–873.

    Article  PubMed  Google Scholar 

  • Watters, J. K., & Biernacki, P. (1989). Targeted sampling: Options for the study of hidden populations. Social Problems, 36, 416–430.

    Article  Google Scholar 

  • Weatherby, N. L., Needle, R., Cesari, H., Booth, R., McCoy, C. B., Watters, J. K., et al. (1994). Validity of self-reported drug use among injection drug users and crack cocaine users recruited through street outreach. Evaluation and Program Planning, 17, 347–355.

    Article  Google Scholar 

  • Weinberg, N. Z., Rahdert, E., Colliver, J. D., & Glantz, M. D. (1998). Adolescent substance abuse: A review of the past 10 years. Journal of the American Academy of Child and Adolescent Psychiatry, 37, 252–261.

    Article  PubMed  Google Scholar 

  • Weissman, M. M., McAvay, G., Goldstein, R. B., Nunes, E. V., Verdeli, H., & Wickramaratne, P. J. (1999). Risk/protective factors among addicted mothers’ offspring: A replication study. American Journal of Drug and Alcohol Abuse, 25, 661–679.

    Article  PubMed  Google Scholar 

  • Whitbeck, L. B. (1999). Primary socialization theory: It all begins with the family. Substance Use & Misuse, 34, 1025–1032.

    Article  Google Scholar 

  • Wiebel, W. W. (1993). The Indigenous Leader Outreach Model: Intervention Manual. Rockville, MD: National Institute on Drug Abuse.

    Google Scholar 

  • Williams, M. L., Freeman, R. C., Bowen, A. M., & Saunders, L. (1998). The acceptability of a computer HIV/AIDS risk assessment to not-in-treatment drug users. AIDS Care, 10, 701–711.

    Article  PubMed  Google Scholar 

  • Wills, T. A., Vaccaro, D., & McNamara, G. (1992). The role of life events, family support, and competence in adolescent substance use: A test of vulnerability and protective factors. American Journal of Community Psychology, 20, 349–374.

    Article  PubMed  Google Scholar 

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Acknowledgement

Support for this research was provided by the National Institute on Drug Abuse DA12813.

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Correspondence to Karen F. Corsi.

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Corsi, K.F., Winch, P.J., Kwiatkowski, C.F. et al. Childhood Factors that Precede Drug Injection: Is there a Link?. J Child Fam Stud 16, 808–818 (2007). https://doi.org/10.1007/s10826-006-9127-9

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