Advertisement

Accessible Substance Abuse Prevention for All Children

  • Jo Ann Ford
  • Judson Workman
  • Navid Masoudi
  • Mary Huber
  • Theresa Mayer
  • Karel Pancocha
Chapter

Abstract

Even though moderate declines in the use of alcohol, tobacco, and other drugs (ATOD) among adolescents have been seen over the years, the battle to prevent youth from using ATOD is still a focus for educators and researchers. The primary means of preventing ATOD is still through educational settings and school-based programs. However, the effectiveness of prevention efforts is substantially enhanced when the entire community is involved. Children with disabilities or children who have nontraditional learning styles are still not receiving prevention geared specifically toward their personal needs. This is despite research indicating that the presence of a physical, mental, or psychological disability places an individual at increased risk for substance abuse problems. This chapter outlines risk factors experienced by children with disabilities, community and psychosocial approaches to effective school-based intervention programs, and concludes with a discussion of the Prevention through Alternative Learning Styles (PALS) program that has shown much success since it was developed in 1992.

Keywords

Prevention Effort Substance Abuse Problem Prevention Message Teachable Moment Prevention Education 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Abbreviations

AOD

Alcohol and other drugs

ATOD

Alcohol, tobacco, and other drugs

NELS

National Education Longitudinal Study

NIDA

National Institute on Drug Abuse

PALS

Prevention through Alternative Learning Styles

VARK

Visual, auditory, reading, and kinesthetic (model; Fleming 2001)

References

  1. Agostini, J. V., Tinetti, M. E., Ling, H., Peduzzi, P., Foody, J. M., & Concato, J. (2007). Association between antihypertensive medication use and non-cardiovascular outcomes in older Men. Journal of General Internal Medicine: Official Journal of the Society for Research and Education in Primary Care Internal Medicine, 22(12), 1661–1667.Google Scholar
  2. Arthur, M. W., & Blitz, C. (2000). Bridging the gap between science and practice in drug abuse prevention through needs assessment and strategic community planning. Journal of Community Psychology, 28, 241–255.CrossRefGoogle Scholar
  3. Asch, A., Blustein, J., & Wasserman, D. T. (2008). Criticizing and reforming segregated facilities for persons with disabilities. Bioethical Inquiry, 5, 157–167.CrossRefGoogle Scholar
  4. Backer, T. E. (2001). Finding the balance: Program fidelity and adaptation in substance abuse prevention: A state-of-the art review. Rockville: Center for Substance Abuse Prevention.Google Scholar
  5. Bohrer, K. (1995). Diverse learning styles: A classroom’s greatest asset. Middle School Journal, 27, 50–53.Google Scholar
  6. Botvin, G. J., Griffin, K. W., Paul, E., & Macaulay, A. P. (2003). Preventing tobacco and alcohol use among elementary school students through life skills training. Journal of Child and Adolescent Substance Abuse, 12(4), 1–17.CrossRefGoogle Scholar
  7. Boulet, S. L., Boyle, C. A., & Schieve, L. A. (2009). Health care use and health and functional impact of developmental disabilities among U.S. children, 1997–2005. Archives of Pediatrics & Adolescent Medicine, 163(1), 19–26.CrossRefGoogle Scholar
  8. Brounstein, P. J., Gardner, S. E., & Backer, T. E. (2006). Research to practice: Efforts to bring effective prevention to every community. Journal of Prim Prevent, 27(1), 91–109.CrossRefGoogle Scholar
  9. Castro, F. G., Barrera, M., Jr., & Martinez, C. R., Jr. (2004). The cultural adaptation of prevention interventions: Resolving tensions between fidelity and fit. Prevention Science: The Official Journal of the Society for Prevention Research, 5, 41–45.CrossRefGoogle Scholar
  10. Chassin, L., Presson, C. C., Sherman, S. J., Corty, E., & Olshavsky, R. W. (1981). Self-images and cigarette smoking in adolescence. Personality and Social Psychology Bulletin, 7, 670–676.CrossRefGoogle Scholar
  11. Clinton-Sherrod, M., Sobeck, J., Abbey, A., Agius, E., & Terry, K. (2005). The role of psychosocial factors in the transition to substance use: Are they protective among urban minority adolescents? The Journal of Primary Prevention, 26(6), 511–528.PubMedCrossRefGoogle Scholar
  12. Comer, J. P. (2004). Leaving no child behind. New Haven: Yale University Press.Google Scholar
  13. Compton, W. M., Thomas, Y. F., Stinson, F. S., & Grant, B. F. (2007). Prevalence, Correlates, Disability and Comorbidity of DSM-IV drug abuse and dependence in the United States: Results from the National Epidemiologic Survey on alcohol and related conditions. Archives of General Psychiatry, 64, 566–576.PubMedCrossRefGoogle Scholar
  14. Darrow, A. (2007). Adaptations in the classroom: Accommodations and modifications: Part I. General Music Today, 20, 32–34.CrossRefGoogle Scholar
  15. Ebeling, D. G., Deschene, C., & Sprague, J. (1994). Adapting curriculum and instruction in inclusive classrooms. Bloomington: The Center for School and Community Integration Institute for the Study of Developmental Disabilities.Google Scholar
  16. Eisen, M., Zellman, G. L., & Murray, D. M. (2003). Evaluating the Lions-Quest “Skills for Adolescence” drug education program: Second-year behavior outcomes. Addictive Behaviors, 28(3), 883–898.PubMedCrossRefGoogle Scholar
  17. Ellickson, P. L., Collins, R. L., Hambarsoomians, K., & McCaffrey, D. F. (2005) Does alcohol advertising promote adolescent drinking? Results from a longitudinal assessment. Addiction, 100, 235–246.PubMedCrossRefGoogle Scholar
  18. Fergus, S., & Zimmerman, M. A. (2005). Adolescent resilience: A framework for understanding healthy development in the face of risk. Annual Review of Publication Health, 26, 399–419.CrossRefGoogle Scholar
  19. Flay, B. R. (2002). Positive youth development requires comprehensive health promotion programs. American Journal of Health Behavior, 26(6), 407–424.PubMedCrossRefGoogle Scholar
  20. Fleming, N. D. (2001). Teaching and learning styles: VARK strategies. Christchurch: N.D. Fleming.Google Scholar
  21. Forman, R. F., Woody, G. E., McLellan, T., & Lynch, K. G. (2006). The availability of web sites offering to sell opioid medications without prescriptions. The American Journal of Psychiatry, 163(7), 1233–1238.PubMedCrossRefGoogle Scholar
  22. Gardner, H. (2006). Multiple intelligences: New horizons. New York: Basic Books.Google Scholar
  23. Gottfredson, D. C., & Wilson, D. B. (2003). Characteristics of effective school-based substance abuse prevention. Prevention Science: The Official Journal of the Society for Prevention Research, 4, 27–38.CrossRefGoogle Scholar
  24. Grant, B. F., Chou, S. P., Goldstein, R. B., Huang, B., Stinson, F. S., Saha, T. D., Smith, S. M., Dawson, D. A., Pulay, A. J., Pickering, R. P., & Ruan, W. J. (2008). Prevalence, Correlates, Disability and Comorbidity of DSM-IV borderline personality disorder: Results from the wave 2 national epidemiologic survey on alcohol and related conditions. The Journal of Clinical Psychiatry, 69(4), 533–545.PubMedCrossRefGoogle Scholar
  25. Hardin, D. E., & McNelis, S. J. (1996). The resource center: Hub of inclusive activities. Education Leadership, 53(5), 41–43.Google Scholar
  26. Hasin, D. S., Stinson, F. S., Ogburn, E., & Grant, B. F. (2007). Prevalence, Correlates, Disability and Comorbidity of DSM-IV alcohol abuse and dependence in the United States: Results from the national epidemiologic survey on alcohol and related conditions. Archives of General Psychiatry, 64(7), 830–842.PubMedCrossRefGoogle Scholar
  27. Hepner, R., Kirshbaum, H., & Landes, D. (1980). Counseling substance abusers with additional disabilities: The center for independent living. Alcohol Health Research World, 5(2), 11–15.Google Scholar
  28. Hollar, D., & Moore, D. (2004). Relationship of substance use by students with disabilities to long-term educational, employment, and social outcomes. Substance Use & Misuse, 39(6), 931–962.CrossRefGoogle Scholar
  29. Kessler, D. T., & Klein, M. A. (1995). Drug use patterns and risk factors of adolescents with physical disabilities. International Journal of the Addictions, 30(10), 1243–1270.PubMedGoogle Scholar
  30. Kuehn, B. M. (2007). Prescription drug abuse rises globally. Journal of the American Medical Association, 297(12), 1306.PubMedCrossRefGoogle Scholar
  31. Kozen, A.A., Murray, R.K., & Windell, I. (2006). Increasing all students’ chance to achieve: Using and adapting anticipation guides with middle school learners. Intervention in School and Clinic, 41, 195–200.Google Scholar
  32. Leeies, M., Pagura, J., Sareen, J., & Bolton, J. M. (2010). The use of alcohol and drugs to self-medicate symptoms of posttraumatic stress disorder. Depression and Anxiety, 27(8), 731–736.PubMedGoogle Scholar
  33. Longshore, D., Ghosh-Dastidar, B., & Ellickson, P. L. (2006). National youth anti-drug media campaign and school-based drug prevention: Evidence for a synergistic effect in ALERT Plus. Addictive Behaviors, 31(3), 496–508.PubMedCrossRefGoogle Scholar
  34. Losciuto, L., Rajala, A. K., Townsend, T. N., & Taylor, A. S. (1996). An outcome evaluation of across ages: An intergenerational mentoring approach to drug prevention. Journal of Adolescent Research, 11(1), 116–129.CrossRefGoogle Scholar
  35. Manchikanti, L. (2006). Prescription drug abuse: What is being done to address this new drug epidemic? Testimony before the subcommittee on Criminal Justice, Drug Policy and Human Resources. Pain Physician, 9, 287–321.PubMedGoogle Scholar
  36. Manchikanti, L. (2007). National drug control policy and prescription drug abuse: Facts and fallacies. Pain Physician, 10, 399–424.PubMedGoogle Scholar
  37. Martino, S. C., Collins, R. L., Ellickson, P. L., Schell, T. L., & McCaffrey, D. (2006). Socio-environmental influences on adolescents’ alcohol outcome expectancies: A prospective analysis. Addiction, 101(7), 971–983.PubMedCrossRefGoogle Scholar
  38. McCarthy, B. (1987). The 4MAT system: Teaching to learning styles with Right/left mode techniques. Barrington: EXCEL.Google Scholar
  39. McCarthy, M. (2007). Prescription drug abuse up sharply in the USA. Lancet, 369, 9572.Google Scholar
  40. McNamara, J. K., & Willoughby, T. (2010), A longitudinal study of risk-taking behavior in adolescents with learning disabilities. Learn disability Research and Practice, 25, 11–24.CrossRefGoogle Scholar
  41. Moore, D., & Li, L. (1998). Prevalence and risk factors of illicit drug use by people with disabilities. The American Journal on Addictions/American Academy of Psychiatrists in Alcoholism and Addictions, 7(2), 93–102.PubMedGoogle Scholar
  42. Moran, S., Kornhaber, M., & Gardner, H. (2006). Orchestrating multiple intelligences. Education Leadership, 64(1), 22–27.Google Scholar
  43. Nation, M., & Helflinger, C. A. (2006). Risk factors for serious alcohol and drug use: The role of psychosocial variables in predicting the frequency of substance use among adolescents. The American Journal of Drug and Alcohol Abuse, 32(3), 415–433.PubMedCrossRefGoogle Scholar
  44. National Institute of Drug Abuse. (NIDA) (2002). Risk and protective factors in drug abuse prevention. NIDA Notes, 16(6), 1–2.Google Scholar
  45. National Institute of Drug Abuse. (NIDA) (2008). Fewer young adults abuse cocaine and methamphetamine national survey finds. NIDA Notes, 22 (2), 5–6.Google Scholar
  46. Ostaszewski, K., & Zimmerman, M. (2006). The effects of cumulative risks and promotive factors on urban adolescent alcohol and other drug use: A longitudinal study of resiliency. American Journal of Community Psychology, 38(3), 237–249.PubMedCrossRefGoogle Scholar
  47. Pentz, M. A. (2003). Evidence-based prevention: Characteristics, impacts, and future directions. Journal of Psychoactive Drugs, SARC Supplement, 1, 143–152.CrossRefGoogle Scholar
  48. Proud, C. (2009). Opioid therapy for chronic pain: Risk management strategies, Journal of Nurse Practitioners, January, 47–52.Google Scholar
  49. Robinson, J., Sareen, J., Cox, B. J., & Bolton, J. (2009). Self-medication of anxiety disorders with alcohol and drugs: Results from a nationally representative sample. Journal of Anxiety Disorders, 23(1), 38–45.PubMedCrossRefGoogle Scholar
  50. Slater, M. D., Kelly, K. J., Edwards, R. W., Thurman, P. J., Plested, B. A., Keefe, T. J., & Henry, K. L. (2006). Combining in-school and community-based media efforts: reducing marijuana and alcohol uptake among younger adolescents. Health Education Research, 21(1), 157–167.PubMedCrossRefGoogle Scholar
  51. Small, S., & Memmo, M. (2004). Contemporary models of youth development and problem prevention: Toward an integration of terms, concepts, and models. Family Related, 53(1), 3–11.CrossRefGoogle Scholar
  52. Smith, G. T., Goldman, M. S., Greenbaum, P. E., & Christiansen, B. A. (1995). Expectancy for social facilitation from drinking: The divergent paths of high-expectancy and low-expectancy adolescents. Journal of Abnormal Psychology, 104(1), 32–40.PubMedCrossRefGoogle Scholar
  53. Tobler, N. S., Roona, M. R., Ochshorn, P., Marshall, D. G., Streke, A. V., & Stackpole, K. M. (2000). School-based adolescent drug prevention programs: 1990 meta-analysis. The Journal of Primary Prevention, 20, 275–336.CrossRefGoogle Scholar
  54. Todd, S. (2009). Learning to take the world seriously: An ethnographic study of the management of knowledge in a special school for intellectual disabilities. Journal of Intellectual Disabilities, 13, 221–239.PubMedCrossRefGoogle Scholar
  55. US Department of Commerce. (1995). Dropping out and disabilities. Bureau of the census population survey. Unpublished data.Google Scholar
  56. Wasan, A. D., Butler, S. F., Budman, S. H., Fernandez, K., Weiss, R., Greenfield, S., & Jamison, R. N. (2009). Does report of craving opioid medication predict aberrant drug behavior among chronic pain patients? The Clinical Journal of Pain, 25(3), 193–198.PubMedCrossRefGoogle Scholar
  57. Werch, C. E., Owen, D. M., Carlson, J. M., DiClemente, C. C., Edgemon, P., & Moore, M. (2003). One-year follow-up results of the STARS for families alcohol prevention program. Health Education Research, 18(1), 74–87.PubMedCrossRefGoogle Scholar
  58. Wolin, S. J., & Wolin, S. (1993). The resilient self: How survivors of troubled families rise above adversity. New York: Random House, Inc.Google Scholar
  59. Yen, C. F., Lin, J. D., Loh, C. H., Shi, L., & Hsu, S. W. (2009). Determinants of prescription drug use by adolescents with intellectual disabilities in Taiwan. Research in Developmental Disabilities, 30, 1354–1366.PubMedCrossRefGoogle Scholar
  60. Zollinger, T. W., Saywell, R. M., Muegge, C. M., Wooldridge, J. S., Cummings, S. F., & Caine, V. A. (2003). Impact of the life skills training curriculum on middle school students tobacco use in Marion County, Indiana, 1997–2000. Journal of School Health, 73, 338–346.PubMedCrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media New York 2012

Authors and Affiliations

  • Jo Ann Ford
    • 1
  • Judson Workman
    • 1
  • Navid Masoudi
    • 1
  • Mary Huber
    • 2
  • Theresa Mayer
    • 1
  • Karel Pancocha
    • 1
    • 3
  1. 1.Boonshoft School of MedicineWright State UniversityDaytonUSA
  2. 2.The National Center on Family HomelessnessNeedhamUSA
  3. 3.Masaryk UniversityCzech RepublicEurope

Personalised recommendations