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Historical variation in drug use trajectories across the transition to adulthood: The trend toward lower intercepts and steeper, ascending slopes

Published online by Cambridge University Press:  30 April 2013

Justin Jager*
Affiliation:
Eunice Kennedy Shriver National Institute for Child Health and Human Development
John E. Schulenberg
Affiliation:
University of Michigan
Patrick M. O'Malley
Affiliation:
University of Michigan
Jerald G. Bachman
Affiliation:
University of Michigan
*
Address correspondence and reprint requests to: Justin Jager, Child and Family Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Suite 8030, 6705 Rockledge Drive, Bethesda, MD 20892; E-mail: jagerjo@mail.nih.gov.

Abstract

This study examines historical variation in individual trajectories of heavy drinking and marijuana use from age 18 to 22. Unlike most studies that have examined cohort differences in drug use, it focuses on differences in both level of use and rates of change (growth). Nearly 39,000 youths from the high school classes of 1976–2004 were surveyed at biennial intervals between the ages of 18 and 22 as part of the national Monitoring the Future study. Between 1976 and 2004, adolescent heavy drinking decreased substantially. However, because the age 18–22 heavy drinking growth rate increased threefold for males and sixfold for females during this period, heavy drinking among 21- to 22-year-olds remained largely stable. The growth rate for marijuana use was more stable across cohorts, and historical declines in use were sizable across the entire 18–22 age band. Generally, historical variation in use was unrelated to college status and living arrangements as well as to historical changes in the distribution of young adult social roles. Findings suggest that historical fluctuations in use were less the result of proximal young adult factors and more the result of historical variation in distal adolescent factors, the effect of which diminished with age, especially for heavy drinking.

Type
Regular Articles
Copyright
Copyright © Cambridge University Press 2013

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References

Alexander, K. L., Holupka, S., & Pallas, A. M. (1987). Social background and academic determinants of two-year versus four-year college attendance: Evidence from two cohorts a decade apart. American Journal of Education, 96, 5680.Google Scholar
Arbuckle, J. (1996). Full information estimation in the presence of incomplete data. In Marcoulides, G. & Schumacker, R. (Eds.), Advanced structural equation modeling: Issues and techniques (pp. 243277). Mahway, NJ: Erlbaum.Google Scholar
Arnett, J. (2000). Emerging adulthood: A theory of development from the late teens through the twenties. American Psychologist, 55, 469480.Google Scholar
Arnett, J. (2006). The psychology of emerging adulthood: What is known, and what remains to be known? In Arnett, J. & Tanner, J. (Eds.), Emerging adults in America: Coming of age in the 21st century. Washington, DC: American Psychological Association.Google Scholar
Arnett, J., & Taber, S. (1994). Adolescence terminable and interminable: When does adolescence end? Journal of Youth and Adolescence, 23, 517537.Google Scholar
Bachman, J. G., Johnston, L. D., & O'Malley, P. M. (1990). Explaining the recent decline in cocaine use among young adults: Further evidence that perceived risks and disapproval lead to reduced drug use. Journal of Health and Social Behavior, 31, 173184.Google Scholar
Bachman, J. G., Johnston, L. D., & O'Malley, P. M. (1999). Explaining recent increases in students' marijuana use: Impacts of perceived risks and disapproval, 1976 through 1996. American Journal of Public Health, 88, 887892.CrossRefGoogle Scholar
Bachman, J. G., Johnston, L. D., O'Malley, P. M., & Schulenberg, J. E. (2006). The Monitoring the Future Project after thirty-two years: Design and procedures (Monitoring the Future Occasional Paper No. 64). Ann Arbor, MI: Institute for Social Research.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 drug use in young adulthood. Mahwah, NJ: Erlbaum.Google Scholar
Bachman, J. G., O'Malley, P. M., Schulenberg, J. E., Johnston, L. D., Bryant, A. L., Merline, A. C., et al. (2001). Analyses showing how religiosity, social activities, and drug-related beliefs mediate relationship between post-high-school experiences and drug use (Monitoring the Future Occasional Paper No. 50). Ann Arbor, MI: Institute of Social Research.Google Scholar
Bachman, J. G., O'Malley, P. M., Schulenberg, J. E., Johnston, L. D., Freedman-Doan, P. F., & Messersmith, E. E. (2008). The education–drug use connection: How successes and failures in school relate to adolescent smoking, drinking, drug use, and delinquency. New York: Erlbaum.Google Scholar
Bachman, J., Wadsworth, K., O'Malley, P., & Johnston, L. (1997). Smoking, drinking, and drug use in young adulthood: The impacts of new freedoms and new responsibilities. Hillsdale, NJ: Erlbaum.Google Scholar
Bailey, T., Leinbach, T., Scott, M., Alfonso, M., Kienzl, G., & Kennedy, B. (2003). The characteristics of occupational sub-baccalaureate students entering the new millennium. Washington, DC: US Department of Education.Google Scholar
Belsky, J. (1980). Child maltreatment: An ecological integration. American Psychologist, 35, 320335.Google Scholar
Belsky, J. (1993). Etiology of child maltreatment: A developmental–ecological analysis. Psychological Bulletin, 114, 413434.Google Scholar
Bertalanffy, L. V. (1968). General systems theory: Foundations, development, applications. New York: Braziller.Google Scholar
Bondy, S. J. (1996). Overview of studies on drinking patterns and consequences. Addiction 91, 16631674.Google Scholar
Bronfenbrenner, U. (1977). Toward an experimental ecology of human development. American Psychologist, 32, 515531.Google Scholar
Bronfenbrenner, U. (1994). Ecological models of human development. In international encyclopedia of education (Vol. 3, 2nd ed.). Oxford: Elsevier.Google Scholar
Bynner, J. (2005). Rethinking the youth phase of the life-course: The case for emerging adulthood? Journal of Youth Studies, 8, 367384.Google Scholar
Carter, A. C., Brandon, K. O., & Goldman, M. S. (2010). The college and non-college experience: A review of the factors that influence drinking behavior in young adulthood. Journal of Studies on Alcohol and Drugs, 71, 742750.Google Scholar
Chassin, L., Hussong, A., & Beltran, I. (2009). Adolescent drug use. In Lerner, R. & Steinberg, L. (Eds.), Handbook of adolescent psychology (3rd ed.). Hoboken, NJ: Wiley.Google Scholar
Chen, K., & Kandel, D. (1995). The natural history of drug use from adolescence to the mid-thirties in a general population sample. American Journal of Public Health, 85, 4147.Google Scholar
Cicchetti, D., & Lynch, M. (1993). Toward and ecological/transactional model of community violence and child maltreatment: Consequences for children's development. Psychiatry, 56, 96118.Google Scholar
Cicchetti, D., & Rogosch, F. A. (2002). A developmental psychopathology perspective on adolescence. Journal of Consulting and Clinical Psychology, 70, 620.Google Scholar
Clark, W. (2007). Delayed transitions of young adults. Canadian Social Trends, September, 1321.Google Scholar
Cote, J. (2000). Arrested adulthood: The changing nature of maturity and identity. New York: New York University Press.Google Scholar
Cote, J., & Bynner, J. (2008). Changes in the transition to adulthood in the UK and Canada: The role of structure and agency in emerging adulthood. Journal of Youth Studies, 11, 251268.Google Scholar
Curtis, L. H., Hammill, B. G., Eisenstein, E. L., Kramer, J. M., & Anstrom, K. J. (2007). Using inverse probability-weighted estimators in comparative effectiveness analyses with observational databases. Medical Care, 45(10, Suppl. 2), S103S107.Google Scholar
Davies, T. G., & Casey, K. (1999). Transfer student experiences: Comparing their academic and social lives at the community college and university. College Student Journal, 33, 115.Google Scholar
Douglas, K. A., Collins, J. L., Warren, C. W., Kann, L., Gold, R., Clayton, S., et al. (1997). Results from the 1995 National College Health Risk Behavior Survey. College Health, 46, 5566.Google Scholar
Engs, R., Diebold, B., & Hanson, D. (1996). The drinking patterns and problems of a national sample of college students, 1994. Journal of Alcohol and Drug Education, 41, 1333.Google Scholar
Everett, S., Lowry, R., Cohen, L., & Dellinger, A. (1999). Unsafe motor vehicle practices among substance-using college students. Accident Analysis and Prevention, 31, 667673.Google Scholar
Goldscheider, F., & Goldscheider, C. (1999). The changing transition to adulthood: Leaving and returning home. Thousand Oaks, CA: Sage.Google Scholar
Grucza, R., Bucholz, K., Rice, J., & Bierut, L. (2008). Secular trends in the lifetime prevalence of alcohol dependence in the United States: A re-evaluation. Alcoholism: Clinical and Experimental Research, 32, 763770.Google Scholar
Hearn, J. C. (1992). Emerging variations in postsecondary attendance patterns: An investigation of part-time, delayed, and nondegree enrollment. Research in Higher Education, 33, 657687.Google Scholar
Hedlund, J. H., Ulmer, R. G., & Preusser, D. F. (2001). Determine why there are fewer young adult alcohol impaired drivers. Washington, DC: US Department of Transportation.Google Scholar
Hendry, L., & Kloep, M. (2007). Conceptualizing emerging adulthood: Inspecting the emperor's new clothes? Child Development Perspectives, 1, 7479.Google Scholar
Hill, M. S., & Yeung, W. J. (1999). How has the changing structure of opportunities affected transitions to adulthood. In Booth, A., Crouter, A., & Shanahan, M. (Eds.), Transitions to adulthood in the changing economy. Westport, CT: Praeger.Google Scholar
Hingson, R., Heeren, T., & Winter, M. (1994). Lower legal blood alcohol limits for young drivers. Public Health Reports, 109, 738744.Google Scholar
Hingson, R., Heeren, T., Winter, M., & Wechsler, H. (2005). Magnitude of alcohol-related mortality and morbidity among U.S. college students age 18–24: Changes from 1998 to 2001. Annual Review of Public Health, 26, 259279.Google Scholar
Hingson, R., Heeren, T., Zakocs, R., Kopstein, A., & Wechsler, H. (2002). Magnitude of alcohol-related mortality and morbidity among U.S. college students age 18–24. Journal of Studies on Alcohol, 63, 136144.Google Scholar
Hobbs, F., & Stoops, N. (2002). Demographic trends in the 20th century (US Census 2000 Special Reports, Series CENSR-4). Washington, DC: US Government Printing Office.Google Scholar
Horn, L. J., & Berktold, J. (1998). Profile of undergraduates in U.S. postsecondary education institutions: 1995–1996. Washington, DC: National Center for Education Statistics.Google Scholar
Jager, J. (2011). A developmental shift in Black–White differences in depressive affect across adolescence and early adulthood: The influence of early adult social roles and socioeconomic status. International Journal of Behavioral Development, 35, 457469.Google Scholar
Johnston, L. D., O'Malley, P. M., Bachman, J. G., & Schulenberg, J. E. (2010a). Monitoring the Future national survey results on drug use, 1975–2009: Vol. 1. Secondary school students (NIH Publication No. 10-7584). Bethesda, MD: National Institute on Drug Abuse.Google Scholar
Johnston, L. D., O'Malley, P. M., Bachman, J. G., & Schulenberg, J. E. (2010b). Monitoring the Future national survey results on drug use, 1975–2009: Vol. 2. College students and adults ages 19–50 (NIH Publication No. 10-7585). Bethesda, MD: National Institute on Drug Abuse.Google Scholar
Kane, T. J., & Rouse, C. E. (1999). The community college: Educating students at the margin between college and work. Journal of Economic Perspectives, 13, 6384.Google Scholar
Kerr, W., Greenfield, T., Bond, J., Ye, Y., & Rehm, J. (2009). Age–period–cohort modeling of alcohol volume and heavy drinking days in the US National Alcohol Surveys: Divergence in younger and older adult trends. Addiction, 104, 2737.Google Scholar
Keyes, K. M., Schulenberg, J. E., O'Malley, P. M., Johnston, L. D., Bachman, J. G., Li, G., et al. (in press). The social norms of birth cohorts and adolescent marijuana use in the United States, 1976–2007. Addiction.Google Scholar
Kline, R. B. (1998). Principles and practice of structural equation modeling. New York: Guilford Press.Google Scholar
McDonald, R., & Ringo Ho, M. (2002). Principles and practice in reporting structural equation analyses. Psychological Methods, 7, 6482.Google Scholar
Muthén, L., & Muthén, B. (1998–2009). Mplus user's guide (5th ed.). Los Angeles: Author.Google Scholar
Muthén, B., & Muthén, L. (2000). The development of heavy drinking and alcohol-related problems from age 18 to 37 in a U.S. national sample. Journal of Studies on Alcohol, 61, 290300.Google Scholar
National Survey on Drug Use and Health. (2005). Results from the 2004 National Survey on Drug Use and Health: National findings. Washington, DC: Office of Applied Studies.Google Scholar
O'Malley, P. M., Bachman, J. G., & Johnston, L. D. (1988). Period, age, and cohort effects on drug use among young Americans: A decade of change, 1976–86. American Journal of Public Health, 78, 13151321.Google Scholar
O'Malley, P. M., & Wagenaar, A. (1991). Effects of minimum drinking age laws on alcohol use, related behaviors and traffic crash involvement among American youth: 1976–1987. Journal of Studies on Alcohol, 52, 478491.Google Scholar
Powers, C., Rodgers, B., & Hope, S. (1999). Heavy alcohol consumption and marital status: Disentangling the relationship in a national study of young adults. Addiction, 94, 14771487.Google Scholar
Rehm, J., Ashley, M. J., Room, R., Single, E., Bondy, S., Ferrence, R., et al. (1996). Drinking patterns and their consequences: Report from an international meeting. Addiction, 91, 16151621.Google Scholar
Rehm, J., Rehn, N., Room, R., Monteiro, M., Gmel, G., Jernigan, D., et al. (2003). The global distribution of average alcohol consumption and patterns of drinking. European Addiction Research, 9, 147156.Google Scholar
Schulenberg, J. E., & Maggs, J. L. (2002). A developmental perspective on alcohol use and heavy drinking during adolescence and the transition to young adulthood. Journal on Studies of Alcohol, 14, 5470.Google Scholar
Schulenberg, J., O'Malley, P. M., Bachman, J. G., & Johnston, L. (2000). Spread your wings and fly: The course of well-being and drug use during the transition to young adulthood. In Crockett, L. & Silbereisen, R. (Eds.), Negotiating adolescence in times of social change. New York: Cambridge University Press.Google Scholar
Schulenberg, J., O'Malley, P. M., Bachman, J. G., & Johnston, L. (2006). Early adult transitions and their relation to well-being and drug use. In Settersten, R., Furstenberg, F., & Rumbaut, R. (Eds.), On the frontier of adulthood: Theory, research, and public policy. Chicago: University of Chicago Press.Google Scholar
Schulenberg, J., O'Malley, P. M., Bachman, J. G., Wadsworth, K. N., & Johnston, L. D. (1996). Getting drunk and growing up: Trajectories of frequent binge drinking during the transition to young adulthood. Journal of Studies on Alcohol, 57, 289304.Google Scholar
Schulenberg, J. E., & Zarrett, N. R. (2006). Mental health during emerging adulthood: Continuity and discontinuity in courses, causes, and functions. In Arnett, J. J. & Tanner, J. L. (Eds.), Emerging adults in America: Coming of age in the 21st century (pp. 135172). Washington DC: American Psychological Association.Google Scholar
Settersten, R. A., & Ray, B. (2010). What's going on with young people today? The long and twisting path to adulthood. The Future of Children: Transition to Adulthood, 20, 324.Google Scholar
Shanahan, M. J. (2000). Pathways to adulthood in changing societies: Variability and mechanisms in life course perspective. Annual Review of Sociology, 26, 667692.Google Scholar
Slutske, W. S. (2005). Alcohol use disorders among US college students and their non-college-attending peers. Archives of General Psychiatry, 62, 321327.Google Scholar
Sturm, R. (2002). The effects of obesity, smoking, and drinking on medical problems and costs. Health Affairs, 2, 245253.Google Scholar
Substance Abuse and Mental Health Services Administration. (2005). Results from the 2004 National Survey on Drug Use and Health: National findings (DHHS Publication No. SMA 05-4062, NSDUH Series H-28). Rockville, MD: Author.Google Scholar
Tashkin, D. P. (2005). Smoked marijuana as a cause of lung injury. Monaldi Archives for Chest Disease, 63, 93100.Google Scholar
US Department of Education. (1996). The condition of education 1996 (NCES 96-304). Washington, DC: US Government Printing Office.Google Scholar
Vaillant, G. E., & Hiller-Sturmhofel, S. H. (1996). The natural history of alcoholism. Alcohol Drinking Behavior, 20, 152161.Google ScholarPubMed
Vaillant, P. M., & Scanlan, P. (1996). Personality, living arrangements, and alcohol use by first year university students. Social Behavior and Personality, 24, 151156.Google Scholar
Wagenaar, A., & Toomey, T. (2002). Effects of minimum drinking age laws: Review and analyses of the literature from 1960 to 2000. Journal of Studies of Alcohol, 14(Suppl.), 206225.Google Scholar
White, H. R., Fleming, C. B., Kim, M. J., Catalano, R. F., & McMorris, B. J. (2008). Identifying two potential mechanisms for changes in alcohol use among college-attending and non-college-attending emerging adults. Developmental Psychology, 44, 16251639.Google Scholar
White, L. (1999). Sure, I'd like to get married someday. In Booth, A., Crouter, A., & Shanahan, M. (Eds.), Transitions to adulthood in the changing economy. Westport, CT: Praeger.Google Scholar