Effects of a preventive intervention on adolescent substance use initiation, expectancies, and refusal intentions

Prevention Science

Volumn 4, Issue 2, 2003, Pages 109-122

  Trudeau, Linda ^a   Spoth, Richard ^a   Lillehoj, Catherine ^a   Redmond, Cleve ^a   Wickrama, K A S ^a  

^a IOWA STATE UNIVERSITY   (United States)

Author keywords

Adolescent substance use initiation; Expectancies; Preventive intervention; Refusal intentions

Indexed keywords

ADOLESCENT; ALCOHOL ABUSE; ARTICLE; BEHAVIOR; CANNABIS ADDICTION; EXPECTANCY; FEMALE; HUMAN; INFORMATION PROCESSING; MALE; SCHOOL; SEX DIFFERENCE; STUDENT; SUBSTANCE ABUSE; TOBACCO DEPENDENCE; CANNABIS SMOKING; CHILD; CHILD BEHAVIOR; CHILD PSYCHOLOGY; DRINKING BEHAVIOR; HEALTH PROMOTION; METHODOLOGY; MULTIVARIATE ANALYSIS; OUTCOME ASSESSMENT; PEER GROUP; PSYCHOLOGICAL ASPECT; QUESTIONNAIRE; RISK FACTOR; RURAL POPULATION; SCHOOL HEALTH SERVICE; SMOKING; STANDARD; STATISTICS; TIME; TREATMENT OUTCOME; UNITED STATES;

ADOLESCENT; ADOLESCENT BEHAVIOR; ADOLESCENT PSYCHOLOGY; ALCOHOL DRINKING; CHILD; FEMALE; HEALTH PROMOTION; HUMANS; MALE; MARIJUANA SMOKING; MIDWESTERN UNITED STATES; MULTIVARIATE ANALYSIS; OUTCOME ASSESSMENT (HEALTH CARE); PEER GROUP; QUESTIONNAIRES; RISK FACTORS; RURAL POPULATION; SCHOOL HEALTH SERVICES; SMOKING; TIME FACTORS; TREATMENT OUTCOME;

EID: 0041519391     PISSN: 13894986     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1022926332514     Document Type: Article

References (56)

1. Ajzen, I. (1985). From decisions to actions: A theory of planned behavior. In J. Kuhl & J. Bechmann (Eds.), Action-control: From cognition to behavior (pp. 11-39). New York: Springer.
2. Ajzen, I., & Fishbein, M. (1980). Understanding attitudes and predicting social behavior. Englewood Cliffs, NJ: Prentice-Hall.
3. Bandura, A. (1977). Social learning theory. Englewood Cliffs, NJ: Prentice-Hall.
4. Bandura, A. (1997). Self-efficacy: The exercise of control. New York: Freeman.
5. Botvin, G. J. (1996). Life skills training: promoting health and personal development. Princeton, NJ: Princeton Health Press.
6. Botvin, G. J. (2000). Life skills training. Princeton, NJ: Princeton Health Press.
7. Botvin, G. J., Baker, E., Dusenbury, L., Tortu, S., & Botvin, E. (1990). Preventing adolescent drug abuse through a multimodal cognitive-behavioral approach: Results of a 3-year study. Journal of Consulting and Clinical Psychology, 58(4), 437-446.
8. Botvin, G. J., Baker, E., Renick, N. L., Filazzola, A. D., & Botvin, E. M. (1994). A cognitive-behavioral approach to substance abuse prevention. Addictive Behaviors, 9, 137-147.
9. Botvin, G. J., Griffin, K. W., Diaz, T., Scheier, L., Williams, C., & Epstein, J. A. (2000). Preventing illicit drug use in adolescents: Long-term follow-up data from a randomized control trial of a school population. Addictive Behaviors, 5, 769-774.
10. Curran, P. (2000). A latent curve framework for the study of developmental trajectories in adolescent substance use. In J. Rose, L. Chassin, C. Presson, & S. Sherman (Eds.), Multivariate applications in substance use research: New methods for new questions (pp. 1-42). Mahwah, NJ: Erlbaum.
11. Curran, P., & Muthén, B. (1999). The application of latent curve analysis to test developmental theories in intervention research. American Journal of Community Psychology, 27, 567-595.
12. Dunn, M., & Goldman, M. (1998). Age and drinking-related differences in the memory organization of alcohol expectancies in 3rd, 6th, 9th, and 12th grade children. Journal of Consulting and Clinical Psychology, 66, 579-585.
13. Epstein, J. A., Botvin, G. J., & Diaz, T. (1999). Social influence and psychological determinants of smoking among inner-city adolescents. Journal of Child and Adolescent Substance Abuse, 8, 1-19.
14. Epstein, J. A., Griffin, K. W., & Botvin, G. J. (2000). Role of general and specific competence skills in protecting inner-city adolescents from alcohol use. Journal of Studies on Alcohol, 61, 379-386.
15. Gambrill, E. D., & Richey, C. A. (1975). As assertion inventory for use in assessment and research. Behavior Therapy, 6, 550-561.
16. Gibbons, F. X., & Gerrard, M. (1997). Health images and their effects on health behavior. In B. Buunk & F. X. Gibbons (Eds.), Health, coping and well-being: Perspectives from social comparison theory (pp. 63-94). Mahwah, NJ: Erlbaum.
17. Gottman, J. M. (Ed.). (1995). The analysis of change. Mahwah, NJ: Erlbaum.
18. Grant, B. F., & Dawson, D. A. (1997). Age at onset of alcohol use and its association with DSM-IV alcohol abuse and dependence: Results from the national longitudinal alcohol epidemiologic survey. Journal of Substance Abuse, 9, 103-110.
19. Han, C., McGue, M. K., & Iacono, W. G. (1999). Lifetime tobacco, alcohol and other substance use in adolescent Minnesota twins: Univariate and multivariate behavioral genetic analyses. Addiction, 94, 981-993.
20. 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, 64-115.
21. Jessor, R., & Jessor, S. L. (1977). Problem behavior and psychosocial development: A longitudinal study of youth. New York: Academic Press.
22. Johnson, L. D., O'Malley, P. M., & Bachman, J. G. (1995). National survey results on drug use from the Monitoring the Future study, 1975-1884 (NIH Publication No. 95-4026). Rockville, MD: National Institute on Drug Abuse.
23. Johnson, L. D., O'Malley, P. M., & Bachman, J. G. (2002). The Monitoring the Future national survey results on drug use: Overview of key findings, 2001 (NIH Publication No. 02-5105). Rockville, MD: National Institute on Drug Abuse.
24. Jöreskog, K. G., & Sörbom, D. (1999). LISREL 8.30 [Computer software]. Lincolnwood, IL: Scientific Software International.
25. Kandel, D. B., Yamaguchi, K., & Chen, K. (1992). Stages of progression in drug involvement from adolescence to adulthood: Further evidence for the gateway theory. Journal of Studies on Alcohol, 53, 447-457.
26. Kann, L., Kinchen, S., Williams, B., Ross, J., Lowry, R., Hill, C., Grunbaum, J., Blumson, P., Sollinc, J., & Kolbe, L. (1998, August). Youth risk behavior surveillance - United States, 1997 (Report No. SS-3). Washington, DC: U.S. Government Printing Office.
27. Lang, A., & Stritzke, W. (1993). Young children's knowledge, attitudes, and expectations about alcohol. In M. Galanter (Ed.), Recent developments on alcoholism (Vol. 11, pp. 73-85). New York: Plenum.
28. Langer, L. M. (1996). Modeling adolescent health behavior: The Preadult Health Decision-Making Model. In C. B. McCoy, L. R. Metsch, & J. A. Inciardi (Eds.), Intervening with drug-involved youth (pp. 45-78). Thousand Oaks, CA: Sage.
29. Littell, R. C., Milliken, G. A., Stroup, W. W., & Wolfinger, R. D. (1996). SAS© system for mixed models. Cary, NC: SAS Institute.
30. MacKinnon, D. P., Johnson, C. A., Pentz, M. A., Dwyer, J. H., Hansen, W. B., Flay, B. R., & Wang, E. Y.-I. (1991). Mediating mechanisms in a school-based drug prevention program: First-year effects of the Midwestern Prevention Project. Health Psychology, 10, 164-172.
31. McArdle, J. J. (1989). Structural modeling experiments using multiple growth functions. In P. Ackerman, R. Kanfer, & R. Duceck (Eds.), Learning and individual differences: Abilities, motivation and methodology (pp. 71-117). Hillsdale, NJ: Erlbaum.
32. McArdle, J. J. (1991). Structural models of developmental theory in psychology. In P. VanGeert & L. P. Mos (Eds.). Annals of theoretical psychology (Vol. VII, pp. 139-160). New York: Plenum.
33. McNeal, R. B., & Hansen, W. B. (1999). Developmental patterns associated with the onset of drug use: Changes in postulated mediators during adolescence. Journal of Drug Issues, 29, 381-400.
34. Molgaard, V., Kumpfer, K., & Fleming, B. (1997). The Strengthening Families Program: For parents and youth 10-14. Ames, IA: Iowa State University Extension.
35. Murray, D., O'Connell, C., Schmid, L., & Perry, C. (1987). The validity of smoking self-reports by adolescents: A re-examination of the bogus pipeline procedures. Addictive Behaviors, 12, 7-15.
36. Muthén, B., & Satorra, A. (1995). Complex sample data in structural equation modeling. In P. V. Marsden (Ed.), Sociological methodology (pp. 267-316). Washington, DC: American Sociological Association.
37. Oetting, E., & Beauvais, F. (1990). Adolescent drug use: Findings of national and local surveys. Journal of Consulting and Clinical Psychology, 58, 385-394.
38. Petraitis, J., Flay, B., & Miller, T. (1995). Reviewing theories of adolescent substance use: Organizing pieces in the puzzle. Psychological Bulletin, 117, 67-86.
39. Riggs, P., & Whitmore, E. (1999). Substance use disorders and disruptive behavior disorders. In R. L. Hendren (Ed.), Review of psychiatry. Disruptive behavior disorders in children and adolescents (Vol. 18, pp. 133-164). Washington, DC: American Psychiatric Press.
40. Scheier, L. M., & Botvin, G. J. (1997). Expectancies as mediators of the effects of social influences and alcohol knowledge on adolescent alcohol use: A prospective analysis. Psychology of Addictive Behaviors, 11, 48-64.
41. Scheier, L. M., Botvin, G. J., Griffin, K. W., & Diaz, T. (1999). Latent growth models of drug refusal skills and adolescent alcohol use. Journal of Alcohol and Drug Education, 44, 21-48.
42. Schifter, D. E., & Ajzen, I. (1985). Intentions, perceived control, and weight loss: An application of the theory of planned behavior. Journal of Personality and Social Psychology, 49, 843-851.
43. Singer, J. D. (1998). Using SAS PROC MIXED to fit multilevel models, hierarchical models, and individual growth models. Journal of Educational and Behavioral Statistics, 24, 323-355.
44. Sobeck, J., Abbey, A., Agius, E., Clinton, M., & Harrison, K. (2000). Predicting early adolescent substance use: Do risk factors differ depending on age of onset? Journal of Substance Abuse, 11, 89-102.
45. Spoth, R. (1997). Challenges in defining and developing the field of rural mental disorder preventive intervention research. American Journal of Community Psychology, 25(4), 425-448.
46. Spoth, R., Redmond, C., & Lepper, H. (1999a). Alcohol initiation outcomes of universal family-focused preventive interventions: One- and two-year follow-ups of a controlled study. Journal of Studies on Alcohol (Suppl. 13), 103-111.
47. Spoth, R., Redmond, C., & Shin, C. (2001). Randomized trial of brief family interventions for general populations: Adolescent substance use outcomes four years following baseline. Journal of Consulting and Clinical Psychology, 69(4), 627-642.
48. Spoth, R., Redmond, C., Trudeau, L., & Shin, C. (2002). Longitudinal substance initiation outcomes for a universal preventive intervention combining family and school programs. Psychology of Addictive Behaviors, 16, 129-134.
49. Spoth, R., Reyes, M. L., Redmond, C., & Shin, C. (1999b). Assessing a public health approach to delay onset and progression of adolescent substance use: Latent transition and loglinear analyses of longitudinal family preventive intervention outcomes. Journal of Consulting and Clinical Psychology, 67(5), 619-630.
50. SPSS Incorporated. (1988). SPSS-X user's guide (3rd ed.). Chicago, IL: Author.
51. Trudeau, L., Lillehoj, C., Spoth, R., & Redmond, C. (2001). The role of assertiveness and decision-making in early adolescent substance initiation: Mediating processes. Manuscript under review.
52. U.S. Department of Health and Human Services. (2000). Healthy people 2010: Understanding and improving health (2nd ed.). Washington. DC: U.S. Government Printing Office.
53. U.S. Public Health Service. (1974). Teenager's self-test: Cigarette smoking (DHEW Publication No. CDC 74-8723). Washington, DC: Centers for Disease Control, U.S. Public Health Service.
54. Wagner, E. F. (1996). Substance use and violent behavior in adolescence. Aggression and Violent Behavior, 1, 365-387.
55. Wickrama, K. A. S., Conger, R. D., Lorenz, F. O., & Matthews, L. (1995). Role identity, role satisfaction, and perceived physical health. Social Psychology Quarterly, 58, 270-283.
56. Wickrama, K. A. S., Lorenz, R., & Conger, R. (1997). Parental support and adolescent physical health status: A latent growth-curve analysis. Journal of Health and Social Behavior, 38, 149-163.