Swipe om te navigeren naar een ander artikel
Substance use behaviors do not occur in isolation of one another and are not static over time. As adolescents age into early adulthood, there may be dynamic changes in their substance use behaviors, and these changes may be influenced by family and school factors. The current study uses Latent Transition Analysis to examine these changes by measuring transitions among different substance use profiles based on past 30-day alcohol, tobacco and marijuana use, and by estimating associations with demographic, family and school factors. Data were from youth (n = 850; 80 % African American, 17 % white, 3 % mixed race, 50 % female and 50 % male) in grade 10 (Time 1), with 24- (Time 2) and 48-month (Time 3) follow-ups. Substance use profiles included Non-users (54 %), Alcohol and Marijuana Users (20 %), and Alcohol, Tobacco and Marijuana Users (26 %). There were considerable transitions among profiles from Time 1 to Time 2, and fewer transitions from Time 2 to Time 3. At Time 1, African American race and positive school attitudes were negatively associated with being an Alcohol and Marijuana User, and being an Alcohol, Tobacco and Marijuana User. Family conflict, parental school involvement, female gender and African American race were associated with transitions among substance use profiles. Implications are discussed for a better understanding of transitions in substance use profiles, and for promoting maintenance of non-use and transitions from substance using profiles to non-use.
Log in om toegang te krijgen
Met onderstaand(e) abonnement(en) heeft u direct toegang:
Arnett, J. J. (2004). Emerging adulthood: The winding road from the late teens through the twenties. American Psychologist, 121, 1–2. doi: 10.1093/acprof:oso/9780195309379.003.0001.
Bandura, A. (1991). Social cognive theory of self-regulation. Organizational Behavior and Human Decision Processes, 50, 248–287. CrossRef
Bond, L., Butler, H., Thomas, L., Carlin, J., Glover, S., Bowes, G., & Patton, G. (2007). Social and school connectedness in early secondary school as predictors of late teenage substance use, mental health, and academic outcomes. The Journal of adolescent health : Official publication of the Society for Adolescent Medicine, 40(4), 357.e9–357.e18. doi: 10.1016/j.jadohealth.2006.10.013. CrossRef
Bronfenbrenner, U. (1979). The ecology of human development: Experiments by nature and design. Cambridge: Harvard University Press.
Bryant, A. L., Schulenberg, J. E., O’Malley, P. M., Bachman, J. G., & Johnston, L. D. (2003). How academic achievement, attitudes, and behaviors relate to the course of substance use during adolescence: A 6-year, multiwave national longitudinal study. Journal of Research on Adolescence, 13(3), 361–397. doi: 10.1111/1532-7795.1303005. CrossRef
Cleveland, M. J., Collins, L. M., Lanza, S. T., Greenberg, M. T., & Feinberg, M. E. (2010). Does individual risk moderate the effect of contextual-level protective factors? A latent class analysis of substance use. Journal of prevention & intervention in the community, 38(3), 213–228. doi: 10.1080/10852352.2010.486299. CrossRef
Collins, L. M., & Lanza, S. T. (2013). Latent class and latent transition analysis: With applications in the social, behavioral, and health sciences (p. 320). Hoboken: Wiley.
Cordova, D., Heinze, J., Mistry, R., Hsieh, H.-F., Stoddard, S., Salas-Wright, C. P., & Zimmerman, M. A. (2014). Family functioning and parent support trajectories and substance use and misuse among minority urban adolescents: A latent class growth analysis. Substance Use and Misuse, 49(14), 1908–1919. doi: 10.3109/10826084.2014.935792. PubMedCentralCrossRefPubMed
Cordova, D., Parra-Cardona, R., Blow, A., Johnson, D., Prado, G., & Fitzgerald, H. E. (2013). The role of intrapersonal factors on alcohol and drug use among latinos with physical disabilities. Journal of social work practice in the addictions, 13(3), 244–268. doi: 10.1080/1533256X.2013.812007. PubMedCentralCrossRefPubMed
Durkin, K. F., Wolfe, T. W., & Clark, G. (1999). Social bond theory and binge drinking among college students: A multivariate analysis. College Student Journal, 33, 450–461.
Dziak, J., & Coffman, D. (2012). Sensitivity and specificity of information criteria. The Methodology Center…. .Accessed May 11, 2015, from http://methodology.psu.edu/media/techreports/12-119.pdf.
Gottfredson, M. R., & Hirschi, T. (1990). A general theory of crime (p. 297). Redwood: Stanford University Press. Accessed May 1, 2015, from https://books.google.com/books?id=loNPs7n94p0C&pgis=1.
Hirschi, T. (1969). Causes of delinquency (p. 309). California: University of California Press. Accessed May 1, 2015, from http://books.google.com/books/about/Causes_of_Delinquency.html?id=53MNtMqy0fIC&pgis=1.
Hirschi, T. (2004). Self-control and crime. In R. F. Baumeister & K. D. Vohs (Eds.), Handbook of self-regulation: Research, theory, and applications (pp. 535–552). New York, NY: Guilford Press.
Hix-Small, H., Duncan, T. E., Duncan, S. C., & Okut, H. (2004). A multivariate associative finite growth mixture modeling approach examining adolescent alcohol and marijuana use. Journal of Psychopathology and Behavioral Assessment, 26(4), 255–270. doi: 10.1023/B:JOBA.0000045341.56296.fa. CrossRef
Howell, R. J., Bolland, J., & Lian, B. (2012). Soft drug sequencing among a sample of alabama youth : A longitudinal analysis. International Journal of Behavioral Science, 7(1), 47–58.
Hyatt, S. L., & Collins, L. M. (2000). Using latent transition analysis to examine the relationship between perceived parental permissiveness and the onset of substance use. In J. S. Rose, L. Chassin, C. C. Presson, & S. J. Sherman (Eds.), Multivariate applications in substance use research (pp. 259–288). Mahwah, NJ: Lawrence Erlbaum Associates.
Johnston, L. D., O’Malley, P. M., & Bachman, J. G. (2003). Monitoring the future national survey results on adolescent drug use: Overview of key findings, 2002 (p. 56). Bethesda, MD: National Institute on Drug Abuse.
Johnston, L. D., O’Malley, P. M., Bachman, J. G., & Schulenberg, J. E. (2013). Monitoring the future: National survey results on drug use 1975– 2012.
Kakade, M., Duarte, C. S., Liu, X., Fuller, C. J., Drucker, E., Hoven, C. W., et al. (2012). Adolescent substance use and other illegal behaviors and racial disparities in criminal justice system involvement: Findings from a US National Survey. American Journal of Public Health. doi: 10.2105/AJPH.2012.300699. PubMedCentralPubMed
Kandel, D. B. (2002). Stages and pathways of drug involvement: Examining the gateway. In D. B. Kandel (Ed.). Cambridge: Cambridge University Press.
Midgley, C., Maehr, M. L., & Urdan, T. (1993). Manuals for the patterns of adaptive learning survey (PALS). Ann Arbor: The University of Ann Arbor.
Mitchell, C. M., & Plunkett, M. (2000). The latent structure of substance use among American Indian adolescents: An example using categorical variables. American journal of community psychology, 28(1), 105–25. Accessed May 1, 2015, from http://www.ncbi.nlm.nih.gov/pubmed/10824276.
Moffitt, T. E. (1993). Adolescence-limited and life-course-persistent antisocial behavior: A developmental taxonomy. Psychological Review, 100(4), 674–701. Accessed May 5, 2015, from http://dl2af5jf3e.search.serialssolutions.com/?sid=APA&url_ver=Z39.88-2004&rft.atitle=Adolescence-limitedandlife-course-persistentantisocialbehavior:Adevelopmentaltaxonomy.&rft.aufirst=TerrieE.&rft.aulast=Moffitt&rft.date=1993-10&rft.epage=701&rft.
Moos, R. H., & Moos, D. S. (1981). Family environment scale manual. Palo Alto, CA: Consulting Psychologists.
Muthén, B. (2004). Latent variable analysis: Growth mixture modeling and related techniques for longitudinal data. In D. Kaplan (Ed.), Handbook of quantitative methodology for the social sciences (pp. 345–368). Newbury Park, CA: Sage.
Nakao, K., & Treas, J. (1990). Computing 1989 occupational prestige scores. Chicago, IL: National Opinion Research Center.
PROC LCA & PROC LTA (Version 1.3.0) [Software]. (2013). University Park: The Methodology Center, Penn State.
Roeser, R. W., Lord, S. E., & Eccles, J. S. (1994). A portrait of academic alienation in adolescence: Motivation, mental health, and family experience. San Diego, CA. http://rcgd.isr.umich.edu/garp/presentations/eccles94l.pdf.
Schafer, J. L. (2010). Analysis of incomplete multivariate data (Google eBook) (p. 448). Boca Raton: CRC Press. Accessed May 23, 2014, from http://books.google.com/books/about/Analysis_of_Incomplete_Multivariate_Data.html?id=3TFWRjn1f-oC&pgis=1.
Schulenberg, J., Patrick, M. E., Maslowsky, J., & Maggs, J. L. (2014). The epidemiology and etiology of adolescent substance use in developmental perspective. In M. Lewis & K. D. Rudolph (Eds.), Handbook of developmental psychopathology (pp. 601–620). New York: Springer. CrossRef
Spoth, R., Reyes, M. L., Redmond, C., & Shin, C. (1999). Assessing a public health approach to delay onset and progression of adolescent substance use: Latent transition and log-linear analyses of longitudinal family preventive intervention outcomes. Journal of Consulting and Clinical Psychology, 67(5), 619–630. CrossRefPubMed
Steinman, K. J., & Schulenberg, J. (2003). A pattern-centered approach to evaluating substance use prevention programs. New Directions for Child and Adolescent Development, 2003(101), 87–98. CrossRef
Szapocznik, J., & Coatsworth, J. D. (1999). An ecodevelopmental framework for organizing the influences on drug abuse: A developmental model of risk and protection. In Drug abuse: Origins & interventions (pp. 331–366). doi: 10.1037/10341-014
The National Center on Addiction and Substance Abuse. (2012). Chapter 2: Prevelance and consequences. In Addiction medicine: Closing the gap between science and practice (pp. 39–61). New York, NY: The National Center on Addiction and Substance Abuse.
U.S. DHHS. (2012). Preventing tobacco use among youth and young adults: A report of the surgeon general. Atlanta, GA. http://www.surgeongeneral.gov/library/reports/preventing-youth-tobacco-use/full-report.pdf.
Zimmerman, M. A., Caldwell, C. H., & Bernat, D. H. (2002). Discrepancy between self-report and school-record grade point average: Correlates with psychosocial outcomes among African American adolescents. Journal of Applied Social Psychology, 32(1), 86–109. doi: 10.1111/j.1559-1816.2002.tb01421.x. CrossRef
- Transitions in Current Substance Use from Adolescence to Early-Adulthood
Justin E. Heinze
Jason E. Goldstick
Sophie M. Ayer
Marc A. Zimmerman
- Springer US