Influence of Risk and Protective Factors on Substance Use Outcomes Across Developmental Periods: A Comparison of Youth and Young Adults

REFERENCES

• Ahlin, E., & Augustino, B. (2009, November). Assessing the value-added by intervention programs on young adult behavior. Paper presented at the annual meeting of the American Society of Criminology, Royal York, Toronto. Retrieved from http://www.allacademic.com/meta/p32369_index.html
   Google Scholar
• American Association for Public Opinion Research (AAPOR). (2006). Standard definitions: Final dispositions of case codes and outcome rates for surveys (4th ed.). Lenexa, KS: AAPOR.
   Google Scholar
• Andrews, J. A., Hops, H., Ary, D., Tildesley, E., & Harris, J. (1993). Parental influence on early adolescent substance use: Specific and nonspecific effects. Journal of Early Adolescence, 13, 285–310.
   Google Scholar
• Bachman, J. G., O'Malley, P. M., Schulenberg, J. E., Johnston, L. D., Bryant, A. L., & Merline, A. C. (2002). The decline of substance use in young adulthood: Changes in social activities, roles, and beliefs. Mahwah, NJ: Lawrence Erlbaum.
   Google Scholar
• Bailey, S. L., & Hubbard, R. L. (1990). Developmental variation in the context of marijuana initiation among adolescents. Journal of Health and Social Behavior, 31, 58–70.
   PubMed Web of Science ®Google Scholar
• Breyer, J., & Winters, K. C. (2005). Adolescent brain development: Implications for drug use prevention. Retrieved September 9, 2010, from http://www.mentorfoundation. org/pdfs/prevention_perspectives/19.pdf.
   Google Scholar
• Bronfenbrenner, U., & Morris, P. A. (1998). The ecology of developmental processes. In W. Damon & R. M. Lerner (Eds.), Handbook of child psychology: Theoretical models of human development (5th ed., pp. 993–1028). New York, NY: John Wiley.
   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.
   PubMed Web of Science ®Google Scholar
• Cleveland, M. J., Feinberg, M. E., Bontemp, D. E., & Greenberg, M. T. (2008). The role of risk and protective factors in substance use across adolescence. Journal of Adolescent Health, 43, 157–164.
   PubMed Web of Science ®Google Scholar
• Collins, D., Johnson, K., & Becker, B. J. (2007). A meta-analysis of direct and mediating effects of community coalitions that implemented science-based substance abuse prevention interventions. Substance Use & Misuse, 42(6), 985–1008.
   PubMed Web of Science ®Google Scholar
• Collins, D., Pan, Z., Johnson, K., Courser, M., & Shamblen, S. (2008). Individual and contextual predictors of inhalant use among 8th graders: A multilevel analysis. Journal of Drug Education, 38(3), 193–210.
   PubMed Web of Science ®Google Scholar
• Corrigan, M. J., Loneck, B., Videka, L., & Brown, M. C. (2007). Moving the risk and protective factor framework toward individualized assessment in adolescent substance abuse prevention. Journal of Child & Adolescent Substance Abuse, 16(3), 17–34.
   Web of Science ®Google Scholar
• Derzon, J. H. (2007). Using correlational evidence to select youth for prevention programming. Journal of Primary Prevention, 28, 421–447.
   PubMedGoogle Scholar
• Dick, D. M., Pagan, J. L., Viken, R., Purcell, S., Kaprio, J., Pulkkinen, L., (2007). Changing environmental influences on substance use across development. Twin Research and Human Genetics, 10, 315–326.
   PubMed Web of Science ®Google Scholar
• Dillon, L., Chivite-Matthew, N., Grewal, I., Brown, R., Webster, S., & Weddell, E. (2007). Risk, protective factors, and resilience to drug use: Identifying resilient young people and learning from their experiences. Retrieved July 1, 2010, from http://webarchive.nationalarchives.gov.uk/20110218135832/rds. homeoffice.gov.uk/rds/pdfs07/rdsolr0407.pdf
   Google Scholar
• Duistman, D. M., & Colbry, S. L. (1995). Perceived risk and use as predictors of substance use among college students. Health Values: The Journal of Health Behavior, Education & Promotion, 19(2), 44–52.
   Google Scholar
• Durant, R. H., McCoy, T. P., Champion, H., Parries, M. T., Mitra, A., Martin, B. A., (2008). Party behaviors and characteristics and serial drunkenness among college students. Journal of Studies on Alcohol and Drugs, 69, 91–99.
   PubMed Web of Science ®Google Scholar
• Ellickson, P. L., Tucker, J. S., Klein, D. J., & Saner, H. (2004). Antecedents and outcomes of marijuana use initiation during adolescence. Preventive Medicine, 39, 976–984.
   PubMed Web of Science ®Google Scholar
• Fergusson, D. M., Horwood, L. J., & Lynskey, M. (1994). The childhoods of multiple problem adolescents: A 15-year longitudinal study. Journal of Child Psychology & Psychiatry, 35, 1123–1140.
   PubMed Web of Science ®Google Scholar
• Fleming, C. B., Catalano, R. F., Haggerty, K. P., & Abbott, R. D. (2010). Relationships between level and change in family, school, and peer factors during two periods of adolescence and problem behavior at age 19. Journal of Youth and Adolescence, 39, 670–682.
   PubMed Web of Science ®Google Scholar
• Fowler, F. J., & Mangione, T. J. (1990). Standardized survey interviewing: Minimizing interviewer-related error. Newbury Park, CA: Sage.
   Google Scholar
• Furman, W., & Buhrmester, D. (1992). Age and sex differences in perceptions of networks of personal relationships. Child Development, 63, 103–115.
   PubMed Web of Science ®Google Scholar
• Gfroerer, J. C., Wu, L., & Penne, M. A. (2002). Initiation of marijuana use: Trends, patterns, and implications (DHHS Publication No. SMA 02-3711). Rockville, MD: Office of Applied Studies, Substance Abuse and Mental Health Services Administration.
   Google Scholar
• Giedd, J. N., Blumenthal, J., Jeffries, N. O., Castellanos, F. X., Liu, H., Zijdenbos, A., (1999). Brain development during childhood and adolescence: A longitudinal MRI study. Nature Neuroscience, 2(10), 861–863.
   PubMed Web of Science ®Google Scholar
• Harford, T. C., Wechsler, H., & Muthen, B. O. (2002). The impact of current residence and high school drinking on alcohol problems among college students. Journal of Studies on Alcohol, 63, 271–279.
   PubMed Web of Science ®Google Scholar
• Harris, K. M., & Udry, J. R. (2009). National longitudinal study of adolescent health (Add Health), 1994–2002. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor].
   Google Scholar
• Hawkins, J. D., Catalano, R. E., & 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), 64–105.
   PubMed Web of Science ®Google Scholar
• Henry, K. L., Slater, M. D., & Oetting, E. R. (2005). Alcohol use in early adolescence: The effect of changes in risk taking, perceived harm, and friends’ alcohol use. Journal of Studies on Alcohol, 66, 275–283.
   PubMed Web of Science ®Google Scholar
• Johnston, L. D., O'Malley, P. M., Bachman, J. G., & Schulenberg, J. E. (2009). Monitoring the future national survey results on drug use, 1975–2009: Volume II –College students and adults ages 19–50 (NIH Publication No. 09-7403). Bethesda, MD: National Institute on Drug Abuse.
   Google Scholar
• McNeal, D. (1996). Epidemiological research methods. West Sussex: John Wiley.
   Google Scholar
• Murphy, J. G., Correia, C. J., & Barnett, N. P. (2007). Behavioral economic approaches to reduce college student drinking. Addictive Behaviors, 32, 2573–2585.
   PubMed Web of Science ®Google Scholar
• Poelen, E. A. P., Derks, E. M., Engels, R. C. M. E., van Leeuwe, J. F. J., Scholte, R. H. J., Willemsen, G., (2008). The relative contribution of genes and environment to alcohol use in early adolescents: Are similar factors related to initiation of alcohol use and frequency of drinking? Alcoholism: Clinical and Experimental Research, 32, 975–982.
   PubMed Web of Science ®Google Scholar
• Presley, C. A., Meilman, P. W., & Leichtliter, J. S. (2002). College factors that influence drinking. Journal of Studies on Alcohol, 14, 82–90.
   Google Scholar
• Raundenbush, S. W., & Bryk, A. S. (2002). Hierarchical linear models: Applications and data analysis methods (2nd ed.). Newbury Park, CA: Sage.
   Google Scholar
• Scheier, L. M., Newcomb, M. D., & Skager, R. (1994). Risk, protection, and vulnerability to adolescent drug use: Latent-variable models of three age groups. Journal of Drug Education, 24, 49–82.
   PubMed Web of Science ®Google Scholar
• Schulenberg, J. E. (2006). Understanding the multiple contexts of adolescent risky behavior and positive development: Advances and future directions. Applied Developmental Science, 10, 107–113.
   Google Scholar
• Sessa, F. M. (2005). The influence of perceived parenting on substance use during the transition to college: A comparison of male residential and commuter students. Journal of College Student Development, 46, 62–74.
   Web of Science ®Google Scholar
• Slater, M. D. (2003). Sensation-seeking as a moderator of the effects of peer influences, consistency with personal aspirations, and perceived harm on marijuana and cigarette use among younger adolescents. Substance Use & Misuse, 38, 865–880.
   PubMed Web of Science ®Google Scholar
• Steinman, K. J. (2003). College students’ early cessation from episodic heavy drinking: Prevalence and correlates. Journal of American College Health, 51, 197–204.
   PubMed Web of Science ®Google Scholar
• Substance Abuse and Mental Health Services Administration (SAMHSA). (2009). Results from the 2008 National Survey on Drug Use and Health: National Findings (NSDUH Series H-36, HHS Publication No. SMA 09-4434). Rockville, MD: Author.
   Google Scholar
• Tang, Z., & Orwin, R. G. (2009). Marijuana initiation among American youth and its risks as dynamic processes: Prospective findings from a national longitudinal study. Substance Use & Misuse, 44, 195–211.
   PubMed Web of Science ®Google Scholar
• Thornberry, T. P., Lizotte, A. J., Krohn, M. D., Farnworth, M., & Jang, S. J. (1994). Delinquent peers, beliefs, and delinquent behavior: A longitudinal test of interactional theory. Criminology, 32, 47–83.
   Web of Science ®Google Scholar
• Toumbourou, J. W., Stockwell, T., Neighbors, C., Marlatt, G. A., Sturge, J., & Rehm, J. (2007). Interventions to reduce harm associated with adolescent substance use. Lancet, 369, 1391–1401.
   PubMed Web of Science ®Google Scholar
• Wechsler, H., & Austin, S. B. (1998). Binge drinking: The five/four measures. Journal of Studies on Alcohol, 59(1), 122–124.
   PubMed Web of Science ®Google Scholar
• Wechsler, H., & Nelson, T. F. (2008). What we have learned from the Harvard School of Public Health College Alcohol Study: Focusing attention on college student alcohol consumption and the environmental conditions that promote it. Journal of Studies on Alcohol and Drugs, 69, 481–490.
   PubMed Web of Science ®Google Scholar
• Weitzman, E. R., Nelson, T. F., & Wechsler, H. (2003). Taking up binge drinking in college: The influences of person, social group, and environment. Journal of Adolescent Health, 32, 26–35.
   PubMed Web of Science ®Google Scholar
• Wolfe, R., & Hanley, J. (2002). If we're so different, why do we keep overlapping? When 1 plus 1 doesn't make 2. Canadian Medical Association Journal, 166(1), 65–66.
   Google Scholar