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The developmental psychopathology of alcohol use and alcohol disorders: Research achievements and future directions

Published online by Cambridge University Press:  17 December 2013

Laurie Chassin ,
Kenneth J. Sher ,
Andrea Hussong  and
Patrick Curran
Laurie Chassin*
Affiliation:
Arizona State University
Kenneth J. Sher
Affiliation:
University of Missouri
Andrea Hussong
Affiliation:
University of North Carolina, Chapel Hill
Patrick Curran
Affiliation:
University of North Carolina, Chapel Hill
*
Address correspondence and reprint requests to: Laurie Chassin, Psychology Department, Box 871104, Arizona State University, Tempe, AZ 85287-1104; E-mail: laurie.chassin@asu.edu.
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Abstract

The last 25 years have seen significant advances in our conceptualization of alcohol use and alcohol use disorders within a developmental framework, along with advances in our empirical understanding that have been potentiated by advances in quantitative methods. These include advances in understanding the heterogeneity of trajectories of alcohol outcomes; new insights about early childhood antecedents, and adolescence and emerging adulthood as important developmental periods for alcohol outcomes; a more nuanced understanding of the influences of developmental transitions, and their timing and contexts; a greater appreciation for the importance of considering multiple levels of analysis (including an increasing number of genetically informative studies); a continuing focus on studying multiple pathways underlying alcohol outcomes; and an increasing focus on studying the effects of alcohol exposure on future development. The current paper reviews these advances and suggests directions for future study.

Type
Regular Articles
Information
Development and Psychopathology , Volume 25 , Issue 4pt2: Development and Psychopathology: A Vision Realized , November 2013 , pp. 1567 - 1584
Copyright
Copyright © Cambridge University Press 2013 

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References

Andersen, S., & Teicher, M. (2009). Desperately driven and no brakes: Developmental stress exposure and subsequent risk for substance abuse. Neuroscience & Biobehavioral Reviews, 33, 516–524.Google Scholar
Arbeau, K. J., Kuiken, D., & Wild, T. C. (2011). Drinking to enhance and to cope: A daily process study of motive specificity. Addictive Behaviors, 36, 1174–1183.Google Scholar
Armeli, S., Conner, T. S., Cullum, J., & Tennen, H. (2010). A longitudinal analysis of drinking motives moderating the negative affect-drinking association among college students. Psychology of Addictive Behaviors, 24, 38–47.Google Scholar
Armeli, S., Tennen, H., Affleck, G., & Kranzler, H. R. (2000). Does affect mediate the association between daily events and alcohol use? Journal of Studies on Alcohol, 61, 862–871.Google Scholar
Arnett, J. J. (2000). Emerging adulthood: A theory of development from the late teens through the twenties. American Psychologist, 55, 469–480.Google Scholar
Aro, H., & Taipale, V. (1987). The impact of timing of puberty on psychosomatic symptoms among fourteen- to sixteen-year-old Finnish girls. Child Development, 58, 261–268.CrossRefGoogle ScholarPubMed
Bachman, J. G., Wadsworth, K. N., O'Malley, P. M., Johnston, L. D., & Schulenberg, J. E. (1997). Smoking, drinking, and drug use in young adulthood: The impacts of new freedoms and new responsibilities. Mahwah, NJ: Erlbaum.Google Scholar
Baker, T. B., Piper, M. E., McCarthy, D. E., Majeskie, M. R., & Fiore, M. C. (2004). Addiction motivation reformulated: An affective processing model of negative reinforcement. Psychological Review, 111, 33–51.Google Scholar
Barnow, S., Schuckit, M., Lucht, M., John, U., & Freyberger, H. (2002). The importance of a positive family history of alcoholism, parental rejection and emotional warmth, behavioral problems and peer substance use for alcohol problems in teenagers: A path analysis. Journal of Studies on Alcohol, 63, 305–315.Google Scholar
Bauer, D. J. (2007). Observations on the use of growth mixture models in psychological research. Multivariate Behavioral Research, 42, 757–786.Google Scholar
Bauer, D. J., & Curran, P. J. (2003). Distributional assumptions of growth mixture models: Implications for overextraction of latent trajectory classes. Psychological Methods, 8, 338–363.Google Scholar
Bauer, D. J., & Curran, P. J. (2004). The integration of continuous and discrete latent variable models: Potential problems and promising opportunities. Psychological Methods, 9, 3–29.Google Scholar
Bava, S., & Tapert, S. F. (2010). Adolescent brain development and the risk for alcohol and other drug problems. Neuropsychology Review, 20, 398–413.Google Scholar
Bechara, A., Damasio, A. R., Damasio, H., & Anderson, S. W. (1994). Insensitivity to future consequences following damage to human prefrontal cortex. Cognition, 50, 7–15.Google Scholar
Birkley, E., & Smith, G. T. (2011). Recent advances in understanding the personality underpinnings of impulsive behavior and their role in risk for addictive behaviors. Current Drug Abuse Reviews, 4, 215–227.Google Scholar
Bolger, N., Davis, A., & Rafaeli, E. (2003). Diary methods: Capturing life as it is lived. Annual Review of Psychology, 54, 579–616.Google Scholar
Bratberg, G. H., Nilsen, T. I. L., Holmen, T. L., & Vatten, L. J. (2007). Perceived pubertal timing, pubertal status and the prevalence of alcohol drinking and cigarette smoking in early and late adolescence: A population based study of 8950 Norwegian boys and girls. Acta Paediatrica, 96, 292–295.CrossRefGoogle ScholarPubMed
Brody, G. H., Beach, S. R., Philibert, R. A., Chen, Y. F., Lei, M. K., Murry, V. M., et al. (2009). Parenting moderates a genetic vulnerability factor in longitudinal increases in youths’ substance use. Journal of Consulting and Clinical Psychology, 77, 1–11.Google Scholar
Bryk, A. S., & Raudenbush, S. W. (1987). Application of hierarchical linear models to assessing change. Psychological Bulletin, 101, 147–158.Google Scholar
Burnette, M. L., & Cicchetti, D. (2012). Multilevel approaches toward understanding antisocial behavior: Current research and future directions. Development and Psychopathology, 24, 703–704.Google Scholar
Capaldi, D. M. (1991). Co-occurrence of conduct problems and depressive symptoms in early adolescent boys: I. Familial factors and general adjustment at Grade 6. Development and Psychopathology, 3, 277–300.CrossRefGoogle Scholar
Capaldi, D. M., & Stoolmiller, M. (1999). Co-occurrence of conduct problems and depressive symptoms in early adolescent boys: III. Prediction to young-adult adjustment. Development and Psychology, 11, 59–84.Google Scholar
Carpenter, C., & Dobkin, C. (2011). The minimum legal drinking age and public health. Journal of Economic Perspectives, 35, 133–156.Google Scholar
Caspi, A., Moffitt, T. E., Newman, D. L., & Silva, P. A. (1996). Behavioral observations at age 3 years predict adult psychiatric disorders: Longitudinal evidence from a birth cohort. Archives of General Psychiatry, 53, 1033–1039.Google Scholar
Castellanos-Ryan, N., Rubia, K., & Conrod, P. (2011). Response inhibition and reward response biases mediate the predictive relationships between impulsivity and sensation seeking and common and unique variance in conduct disorder and substance misuse, Alcoholism: Clinical and Experimental Research, 35, 1–15.Google Scholar
Chassin, L., Curran, P. J., Hussong, A. M., & Colder, C. R. (1996). The relation of parent alcoholism to adolescent substance use: A longitudinal follow-up study. Journal of Abnormal Psychology, 105, 70–80.Google Scholar
Chassin, L., Lee, M., Cho, Y-Il., Wang, F., Agrawal, A., Sher, K., et al. (2012). Testing multiple levels of influence in the intergenerational transmission of alcohol disorders from a developmental perspective: The example of alcohol use promoting peers and μ-opioid receptor M1 variation. Development and Psychopathology, 24, 953–967.CrossRefGoogle ScholarPubMed
Chassin, L., Pillow, D. R., Curran, P. J., Molina, B. S. G., & Barrera, M. (1993). Relation of parental alcoholism to early adolescent substance use: A test of three mediating mechanisms. Journal of Abnormal Psychology, 102, 449–454.Google ScholarPubMed
Chein, J., Albert, D., O'Brien, L., Uckert, K., & Steinberg, L. (2011). Peers increase adolescent risk taking by enhancing activity in the brain's reward circuitry. Developmental Science, 14, 1–10.Google Scholar
Chen, K., & Kandel, D. B. (1995). The natural history of drug use from adolescence to the mid-thirties in a general population sample. American Journal of Public Health, 85, 41–47.Google Scholar
Chung, T., & Martin, C. (2005). What were they thinking? Adolescents’ interpretations of DSM-IV alcohol dependence symptoms queries and implications for diagnostic validity. Drug and Alcohol Dependence, 80, 191–200.Google Scholar
Cicchetti, D., & Dawson, G. (2002). Editorial: Multiple levels of analysis. Development and Psychopathology, 14, 417–420.Google Scholar
Cicchetti, D., & Luthar, S. S. (1999). Developmental approaches to substance use and abuse. Development and Psychopathology, 11, 655–656.Google Scholar
Cicchetti, D., & Rogosch, F. A. (1996). Equifinality and multifinality in developmental psychopathology [Editorial]. Development and Psychopathology, 8, 597–600.Google Scholar
Cicchetti, D., & Toth, S. L. (2009). The past achievements and future promises of developmental psychopathology: The coming of age of a discipline. Journal of Child Psychology and Psychiatry, 50, 16–25.Google Scholar
Clark, D. B., Lesnick, L., & Hegedus, A. (1997). Traumas and other adverse life events in adolescents with alcohol abuse and dependence. Journal of the American Academy of Child & Adolescent Psychiatry, 36, 1744–1751.Google Scholar
Clark, D. B., Thatcher, D. L., & Tapert, S. F. (2008). Alcohol, psychological dysregulation, and adolescent brain development. Alcoholism: Clinical and Experimental Research, 32, 375–385.Google Scholar
Cleveland, H. H., Wiebe, R., & Rowe, D. C. (2005). Genetic influences on associations with substance using peers. Journal of Genetic Psychology, 166, 153–169.Google Scholar
Cloninger, C. R., Bohman, M., & Sigvardsson, S. (1981). Inheritance of alcohol abuse: Cross-fostering analysis of adopted men. Archives of General Psychiatry, 38, 861–869.Google Scholar
Colder, C. R., Campbell, R. T., Ruel, E., Richardson, J. L., & Flay, B. R. (2002). A finite mixture model of growth trajectories of adolescent alcohol use: Predictors and consequences. Journal of Consulting and Clinical Psychology, 70, 976–985.Google Scholar
Colder, C. R., Chassin, L., Lee, M. R., & Villalta, I. K. (2010). Developmental perspectives: Affect and adolescent substance use. In Kassel, J. D. (Ed.), Substance abuse and emotion (pp. 109–135). Washington, DC: American Psychological Association.Google Scholar
Cooper, M. L. (1994). Motivations for alcohol use among adolescents: Development and validation of a four-factor model. Psychological Assessment, 6, 117–128.Google Scholar
Cooper, M. L., Frone, M. R., Russell, M., & Mudar, P. (1995). Drinking to regulate positive and negative emotions: A motivational model of alcohol use. Journal of Personality and Social Psychology, 69, 990–1005.Google Scholar
Costello, E. J., Sung, M., Worthman, C., & Angold, A. (2007). Pubertal maturation and the development of alcohol use and abuse. Drug and Alcohol Dependence, 88, S50–S59.Google Scholar
Creemers, H., Harakeh, Z., Dick, D., Meyers, J., Vollebergh, W., Ormel, J., et al. (2011). DRD2 and DRD4 in relation to regular alcohol and cannabis use among adolescents: Does parenting modify the impact of genetic vulnerability? The TRAILS study. Drug and Alcohol Dependence, 115, 35–42.Google Scholar
Crews, F. T., Braun, C. J., Hoplight, B., Switzer, R. C., & Knapp, D. J. (2000). Binge ethanol consumption causes differential brain damage in young adolescent rats compared with adult rats: Alcohol effects on the fetus, brain, liver, and other organ systems. Alcoholism: Clinical and Experimental Research, 24, 1712–1723.Google Scholar
Crews, F. T., & Vetreno, R. P. (2011). Addiction, adolescence, and innate immune gene induction. Frontiers in Psychiatry, 2, 19.Google Scholar
Curran, P. J., Stice, E., & Chassin, L. (1997). The relation between adolescent and peer alcohol use: A longitudinal random coefficients model. Journal of Consulting and Clinical Psychology, 65, 130–140.Google Scholar
Curran, P. J., & Willoughby, M. J. (2003). Reconciling theoretical and statistical models of developmental processes. Development and Psychopathology, 15, 581–612.Google Scholar
Deas, D. (2008). Evidence-based treatments for alcohol use disorders in adolescents. Pediatrics, 121S4, S348–S354.Google Scholar
De Bellis, M. D. (2001). Developmental traumatology: The psychobiological development of maltreated children and its implications for research, treatment, and policy. Development and Psychopathology, 13, 539–564.CrossRefGoogle ScholarPubMed
De Bellis, M. D., Clark, D. B., Beers, S. R., Soloff, P. H., Boring, A. M., Hall, J., et al. (2000). Hippocampal volume in adolescent-onset alcohol use disorders. American Journal of Psychiatry, 157, 737–744.Google Scholar
Dick, D. M., Latendresse, S., & Riley, B. (2011). Incorporating genetics into your studies: A guide for social scientists. Frontiers in Psychiatry, 2, 17.CrossRefGoogle ScholarPubMed
Dick, D. M., & Mustanski, B. S. (2006). Pubertal development and health-related behavior. In Pulkkinen, L., Kaprio, J., & Rose, R. J. (Eds.), Socioemotional development and health from adolescence to adulthood (pp. 108–125). New York: Cambridge University Press.Google Scholar
Dick, D. M., Rose, R. J., Viken, R. J., & Kaprio, J. (2000). Pubertal timing and substance use: Associations between and within families across late adolescence. Developmental Psychology, 36, 180–189.Google Scholar
Dick, D. M., Smith, G., Olausson, P., Mitchell, S. H., Leeman, R. F., O'Malley, S. S., et al. (2010). Understanding the construct of impulsivity and its relationship to alcohol use disorders. Addiction Biology, 15, 217–226.Google Scholar
Dierker, L. C., Vesel, F., Sledjeski, E. M., Costello, D., & Perrine, N. (2007). Testing the dual pathway hypothesis to substance use in adolescence and young adulthood. Drug and Alcohol Dependence, 87, 83–93.CrossRefGoogle ScholarPubMed
Donohue, K. F., Curtin, J. J., Patrick, C. J., & Lang, A. R. (2007). Intoxication level and emotional response. Emotion, 7, 103–112.Google Scholar
Earleywine, M. (1994). Anticipated biphasic effects of alcohol vary with risk for alcoholism: A preliminary report. Alcoholism: Clinical & Experimental Research, 18, 711–714.Google Scholar
Earleywine, M., & Martin, C. S. (1993). Anticipated stimulant and sedative effects of alcohol vary with dosage and limb of the blood alcohol curve. Alcoholism: Clinical & Experimental Research, 17, 135–139.CrossRefGoogle ScholarPubMed
Eggleston, E. P., Laub, J. H., & Sampson, R. J. (2004). Methodological sensitivities to latent class analysis of long-term criminal trajectories. Journal of Quantitative Criminology, 20, 1–26.Google Scholar
Eiden, R. D., Edwards, E. P., & Leonard, K. E. (2007). A conceptual model for the development of externalizing behavior problems among kindergarten children of alcoholic families: Role of parenting and children's self-regulation. Developmental Psychology, 43, 1187–1201.Google Scholar
Ellis, B., Del Guidice, M., Dishion, T., Figueredo, A., Gray, P., Griskevicius, V., et al. (2012). The evolutionary basis of risky adolescent behavior: Implications for science, policy, and practice. Developmental Psychology, 48, 598–623.Google Scholar
Enders, C. K. (2010). Applied missing data analysis. New York: Guilford Press.Google Scholar
Ennett, S., Bauman, K., Hussong, A., Faris, R., Foshee, V., & Cai, L. (2006). The peer context of adolescent substance use: Findings from social network analysis. Journal of Research on Adolescence, 16, 159–186.Google Scholar
Fenton, M., Geier, T., Keyes, K., Skodol, A., Grant, B., & Hasin, D. (2012). Combined role of child maltreatment, family history, and gender in the risk for alcohol dependence. Psychological Medicine, 10, 1–13.Google Scholar
Fowler, J., Settle, J., & Christakis, N. (2011). Correlated genotypes in friendship networks. Proceedings of the National Academy of Sciences, 108, 1993–1997.Google Scholar
Fu, H., & Goldman, N. (1996). Incorporating health into models of marriage choice: Demographic and sociological perspectives. Journal of Marriage and the Family, 58, 740–758.Google Scholar
Ge, X., Jin, R., Natsuaki, M. N., Gibbons, F. X., Brody, G. H., Cutrona, C. E., et al. (2006). Pubertal maturation and early substance use risks among African American children. Psychology of Addictive Behaviors, 20, 404–414.Google Scholar
Gottfredson, N. C., & Hussong, A. M. (2011). Parental involvement protects against self-medication behaviors during the high school transition. Addictive Behaviors, 36, 1246–1252.Google Scholar
Gould, L. F., Hersh, M. A., & Hussong, A. M. (in press). Emotional distress may increase risk for self-medication and lower risk for mood-related drinking consequences in adolescents. International Journal of Emotional Education.Google Scholar
Graber, J. A., Seeley, J. R., Brooks-Gunn, J., & Lewinsohn, P. M. (2004). Is pubertal timing associated with psychopathology in young adulthood? Journal of the American Academy of Child & Adolescent Psychiatry, 43, 718–726.Google Scholar
Graber, J. A., & Sontag, L. M. (2009). Internalizing problems during adolescence. In Lerner, R. M. & Steinberg, L. (Eds.), Handbook of adolescent psychology. Hoboken, NJ: Wiley.Google Scholar
Grant, B. F. (1997). Prevalence and correlates of alcohol use and DSM-IV alcohol dependence in the United States: Results of the National Longitudinal Epidemiologic Survey. Journal of Studies on Alcohol, 58, 464–473.Google Scholar
Grant, B. F., Harford, T. C., Dawson, D. A., Chou, P., Dufour, M., & Pickering, R. (1994). Prevalence of DSM-IV alcohol abuse and dependence: United States, 1992. Alcohol Health & Research World, 18, 243–248.Google Scholar
Grant, B. F., & Pickering, R. P. (1996). Comorbidity between DSM-IV alcohol and drug use disorders: Results from the National Longitudinal Alcohol Epidemiologic Survey. Alcohol Health & Research World, 20, 67–72.Google Scholar
Grant, B. F., Stinson, F. S., Dawson, D. A., Chou, S. P., Dufour, M. C., Compton, W., et al. (2004). Prevalence and co-occurrence of substance use disorders and independent mood and anxiety disorders: Results from the national epidemiologic survey on alcohol and related conditions. Archives of General Psychiatry, 61, 807–816.Google Scholar
Grant, J., Scherrer, J., Lynskey, M., Lyons, M., Eisen, S., Tsuang, M., et al. (2006). Adolescent alcohol use is a risk factor for adult alcohol and drug dependence: Evidence from a twin design. Psychological Medicine, 36, 109–118.Google Scholar
Gray, J. A., & McNaughton, N. (2000). The Neuropsychology of anxiety: An enquiry into the functions of the septo-hippocampal system (2nd ed.). Oxford: Oxford University Press.Google Scholar
Gunnar, M., & Quevedo, K. (2007). The neurobiology of stress and development. Annual Review of Psychology, 58, 145–173.Google Scholar
Haller, M., Handley, E., Chassin, L., & Bountress, K. (2010). Developmental cascades: Linking adolescent substance use, affiliation with substance use promoting peers, and academic achievement to adult substance use disorders. Development and Psychopathology, 22, 899–916.Google Scholar
Handley, E., Haller, M., Bountress, K., Beltran, I., Dandreaux, D., & Chassin, L. (2011). Executive functioning and sensation seeking as mediators of parental alcoholism effects on externalizing spectrum outcomes. Journal of Abnormal Psychology, 120, 528–542.Google Scholar
Hanson, K. L., Medina, K. L., Padula, C. B., Tapert, S. F., & Brown, S. A. (2011). Impact of adolescent alcohol and drug use on neuropsychological functioning in young adulthood: 10-year outcomes. Journal of Child & Adolescent Substance Abuse, 20, 135–154.Google Scholar
Harden, K. P., Hill, J. E., Turkheimer, E., & Emery, R. (2008). Gene–environment correlation and interaction in peer effects on adolescent alcohol and tobacco use. Behavioral Genetics, 38, 339–347.Google Scholar
Hargreaves, G. A., Quinn, H., Kashem, M. A., Matsumoto, I., & McGregor, I. S. (2009). Proteomic analysis demonstrates adolescent vulnerability to lasting hippocampal changes following chronic alcohol consumption. Alcoholism: Clinical and Experimental Research, 33, 86–94.Google Scholar
Hedeker, D., & Mermelstein, R. J. (2000). Analysis of longitudinal substance use outcomes using ordinal random-effects regression models. Addiction, 95, S381–S394.Google Scholar
Helzer, J. E., Burnam, A., & McEnvoy, L. T. (1991). Alcohol abuse and dependence. In Robins, L. N. & Regier, D. A. (Eds.), Psychiatric disorders in American: The Epidemiologic Catchment Area Study (pp. 81–115). New York: Macmillan.Google Scholar
Hendershot, C., Lindren, K., Liang, T., & Hutchison, K. (2012). COMT and ALDH2 polymorphisms moderate associations of implicit drinking motives with alcohol use. Addiction Biology, 17.Google Scholar
Hersh, M. A., & Hussong, A. M. (2009). The association between observed parental emotion socialization and adolescent self-medication. Journal of Abnormal Child Psychology, 37, 493–506.Google Scholar
Hertzog, C., & Nesselroade, J. R. (1987). Beyond autoregressive models: Some implications of the trait–state distinction for the structural modeling of developmental change. Child Development, 58, 93–109.Google Scholar
Hicks, B., Durbin, C., Blonigen, D., Iacono, W., & McGue, M. (2012). Relationship between personality change and the onset and course of alcohol dependence in young adulthood. Addiction, 107, 540–548.Google Scholar
Hill, J., Emery, R., Harden, K. P., Mendle, J., & Turkheimer, E. (2008). Alcohol use in adolescent twins and affiliation with substance using peers. Journal of Abnormal Child Psychology, 36, 81–94.Google Scholar
Hingson, R., Zha, W., & Weitzman, E. (2009). Magnitude of and trends in alcohol-related mortality and morbidity among U.S. college students ages 18–24, 1998–2005. Journal of Studies on Alcohol and Drugs, 16S, 12–20.Google Scholar
Houben, K., & Wiers, R. (2009). Response inhibition moderates the relationship between implicit associations and drinking behavior. Alcoholism: Clinical and Experimental Research, 33, 626–633.CrossRefGoogle ScholarPubMed
Hu, M., Muthén, B., Schaffran, C., Griesler, P. C., & Kandel, D. B. (2008). Developmental trajectories of criteria of nicotine dependence in adolescence. Drug and Alcohol Dependence, 98, 94–104.Google Scholar
Hussong, A. M. (2007). Predictors of drinking immediacy following daily sadness: An application of survival analysis to experience sampling data. Addictive Behaviors, 32, 1054–1065.Google Scholar
Hussong, A. M., Bauer, D., & Chassin, L. (2008). Telescoped trajectories from alcohol initiation to disorder in children of alcoholic parents. Journal of Abnormal Psychology, 117, 63–78.Google Scholar
Hussong, A. M., & Chassin, L. (2002). Parent alcoholism and the leaving home transition. Development and Psychopathology, 14, 139–157.Google Scholar
Hussong, A. M., & Chassin, L. (2004). Stress and coping among children of alcoholic parents through the young adult transition. Development and Psychopathology, 16, 985–1006.Google Scholar
Hussong, A. M., Feagans-Gould, L. A., & Hersh, M. A. (2008). Conduct problems moderate self-medication and mood-related drinking consequences in adolescents. Journal of Studies on Alcohol and Drugs, 69, 296–307.Google Scholar
Hussong, A. M., Flora, D. B., Curran, P. J., Chassin, L. A., & Zucker, R. A. (2008). Defining risk heterogeneity for internalizing symptoms among children of alcoholic parents. Development and Psychopathology, 20, 165–193.Google Scholar
Hussong, A. M., Galloway, C. A., & Feagans-Gould, L. A. (2005). Coping motives as a moderator of daily mood-drinking covariation. Journal of Studies on Alcohol, 66, 344–353.Google Scholar
Hussong, A. M., Hicks, R. E., Levy, S. A., & Curran, P. J. (2001). Specifying the relations between affect and heavy alcohol use among young adults. Journal of Abnormal Psychology, 110, 449–461.Google Scholar
Hussong, A. M., Jones, D. J., Stein, G. L., Baucom, D. H., & Boeding, S. (2011). An internalizing pathway to alcohol use and disorder. Psychology of Addictive Behaviors, 25, 390–404.Google Scholar
Hussong, A. M., Wirth, R. J., Edwards, M. C., Curran, P. J., Chassin, L. A., & Zucker, R. A. (2007). Externalizing symptoms among children of alcoholic parents: Entry points for an antisocial pathway to alcoholism. Journal of Abnormal Psychology, 116, 529–542.Google Scholar
Iacono, W., Malone, S., & McGue, M. (2008). Behavioral disinhibition and the development of early onset addiction: Common and specific influences. Annual Review of Clinical Psychology, 4, 325–348.Google Scholar
Jackson, K. M. (2010). Progression through early drinking milestones in an adolescent treatment sample. Addiction, 105, 438–449.Google Scholar
Jackson, K. M., Sher, K. J., & Schulenberg, J. E. (2005). Conjoint developmental trajectories of young adult alcohol and tobacco use. Journal of Abnormal Psychology, 114, 612–626.Google Scholar
Jellinek, E. M. (1960). The disease concept of alcoholism. New Brunswick, NJ: Hillhouse.Google Scholar
Johnston, L. D., O'Malley, P. M., Bachman, J. G., & Schulenberg, J. E. (2012). Monitoring the Future national results on adolescent drug use: Overview of key findings, 2011. Ann Arbor, MI: University of Michigan, Institute for Social Research.Google Scholar
Kaltiala-Heino, R., Koivisto, A., Marttunen, M., & Frojd, S. (2011). Pubertal timing and substance use in middle adolescence: A 2-year follow-up study. Journal of Youth and Adolescence, 40, 1288–1301.Google Scholar
Kaplow, J. B., Curran, P. J., Angold, A., & Costello, E. J. (2001). The prospective relation between dimensions of anxiety and the initiation of adolescent alcohol use. Journal of Clinical Child & Adolescent Psychology, 30, 316–326.Google Scholar
Kashdan, T. B., Ferssizidis, P., Collins, R. L., & Muraven, M. (2010). Emotion differentiation as resilience against excessive alcohol use: An ecological momentary assessment in underage social drinkers. Psychological Science, 21, 1341–1347.Google Scholar
Kendler, K., Gardner, C., & Dick, D. (2011). Predicting alcohol consumption in adolescence from alcohol-specific and general externalizing genetic risk factors, key environmental exposures, and their interaction. Psychological Medicine, 41, 1507–1516.Google Scholar
Kendler, K., Schmitt, E., Aggen, S., & Prescott, C. (2008). Genetic and environmental influences on alcohol, caffeine, cannabis, and nicotine use from early adolescence to middle adulthood. Archives of General Psychiatry, 65, 674–682.Google Scholar
Kessler, R. C., Berglund, P., Demler, O., Jin, R., & Walters, E. E. (2005). Lifetime prevalence and age-of-onset distributions of DSM-IV disorders in the national comorbidity survey replication. Archives of General Psychiatry, 62, 593–602.Google Scholar
Kessler, R. C., Chiu, W. T., Demler, O., & Walters, E. E. (2005). Prevalence, severity, and comorbidity in the national comorbidity survey replication. Archives of General Psychiatry, 62, 617–627.Google Scholar
Kessler, R. C., Crum, R. M., Warner, L. A., & Nelson, C. B. (1997). Lifetime co-occurrence of DSM-III-R alcohol abuse and dependence with other psychiatric disorders in the National Comorbidity Survey. Archives of General Psychiatry, 54, 313–321.Google Scholar
Kessler, R. C., McGonagle, K. A., Zhao, S., Nelson, C. B., Hughes, M., Eshleman, S., et al. (1994). Lifetime and 12-month prevalence of DSM-III-R psychiatric disorders in the United States. Results from the National Comorbidity Survey. Archives of General Psychiatry, 51, 8–19.Google Scholar
Kirby, K. N., Petry, N. M., & Bickel, W. K. (1999). Heroin addicts have higher discount rates for delayed rewards than non-drug-using controls. Journal of Experimental Psychology: General, 128, 78–87.Google Scholar
Knight, R. P. (1937). The dynamics and treatment of chronic alcohol addiction. Bulletin of the Menninger Clinic, 1, 233–250.Google Scholar
Koob, G. F., & Le Moal, M. (2008). Addiction and the brain antireward system. Annual Review of Psychology, 59, 29–53.Google Scholar
Kuerbis, A., & Sacco, P. (2012). The impact of retirement on the drinking patterns of older adults: A review. Addictive Behaviors, 37, 587–595.Google Scholar
Lang, A., Patrick, C., & Stritzke, W. (1999). Alcohol and emotional response: A multidimensional–multilevel analysis. In Leonard, K. E. & Blane, H. T. (Eds.), Psychological theories of drinking and alcoholism (2nd ed., pp. 328–371). New York: Guilford Press.Google Scholar
Laucht, M., Blomeyer, D., Buchmann, A., Treutlein, J., Schmidt, M., Esser, G., et al. (2012). Catechol-O-methyltransferase Val(158) Met genotype, parenting practices, and adolescent alcohol use: Testing the differential susceptibility hypotheses. Journal of Child Psychology and Psychiatry, 53, 351–359.Google Scholar
Lee, M. R., & Chassin, L. (in press). Maturing out of alcohol involvement: Transitions in latent drinking statuses from late adolescence to adulthood. Development and Psychopathology.Google Scholar
Lejuez, C. W., Magidson, J., Mitchell, S., Sinha, R., Stevens, M., & DeWit, H. (2010). Behavioral and biological indicators of impulsivity in the development of alcohol use, problems and disorders. Alcoholism: Clinical and Experimental Research, 34, 1334–1345.Google Scholar
Lejuez, C. W., Read, J. P., Kahler, C. W., Richards, J. B., Ramsey, S. E., Stuart, G. L., et al. (2002). Evaluation of a behavioral measure of risk-taking: The Balloon Analogue Risk Task (BART). Journal of Experimental Psychology: Applied, 8, 75–84.Google Scholar
Leonard, K. E., & Eiden, R. D. (2007). Marital and family processes in the context of alcohol use and alcohol disorders. Annual Review of Clinical Psychology, 3, 285–310.Google Scholar
Leve, L., Harold, G., Ge, X., Neiderhiser, J., & Patterson, G. (2010). Refining intervention targets in family-based research: Lessons from quantitative behavioral genetics. Perspectives in Psychological Science, 11, 516–526.Google Scholar
Levenson, R. W., Oyama, O. N., & Meek, P. S. (1987). Greater reinforcement from alcohol for those at risk: Parental risk, personality risk, and sex. Journal of Abnormal Psychology, 96, 242–253.Google Scholar
Lewinsohn, P. M., Rhode, P., & Seeley, J. R. (1996). Alcohol consumption in high school adolescents: Frequency of use and dimensional structure of associated problems. Addiction, 91, 375–390.Google Scholar
Litt, M. D., Cooney, N. L., & Morse, P. (2000). Reactivity to alcohol-related stimuli in the laboratory and in the field: Predictors of craving in treated alcoholics. Addiction, 95, 889–900.CrossRefGoogle ScholarPubMed
Little, M., Handley, L., Leuthe, E., & Chassin, L. (2009). Substance use and early parenthood in a high risk sample. Development and Psychopathology, 21, 661–682.Google Scholar
Littlefield, A. K., Sher, K. J., & Wood, P. K. (2009). Is “maturing out” of problematic alcohol involvement related to personality change? Journal of Abnormal Psychology, 118, 360–374.Google Scholar
Littlefield, A. K., Sher, K. J., & Wood, P. K. (2010). Do changes in drinking motives mediate the relation between personality change and “maturing out” of problem drinking? Journal of Abnormal Psychology, 119, 93–105.Google Scholar
Littlefield, A., Vergés, A., Wood, P., & Sher, K. J. (2012). Transactional models between personality and alcohol involvement: A further examination. Journal of Abnormal Psychology, 121, 778–783.Google Scholar
Masten, A. S., & Cicchetti, D. (2010). Developmental cascades. Development and Psychopathology, 22, 491–495.Google Scholar
Masten, A. S., Faden, V. B., Zucker, R. A., & Spear, L. P. (2008). Underage drinking: A developmental framework. Pediatrics, 121S4, S235–S251.Google Scholar
Mayer, L. S., & Carroll, S. S. (1987). Testing for lagged, co-temporal, and total dependence in cross-lagged panel analysis. Sociological Methods and Research, 16, 187–217.Google Scholar
McCarthy, D. E., Curtin, J. J., Piper, M. E., & Baker, T. B. (2010). Negative reinforcement: Possible clinical implications of an integrative model. In Kassel, J. (Ed.), Substance abuse and emotion (pp. 15–42). Washington, DC: American Psychological Association.Google Scholar
Meredith, W., & Tisak, J. (1990). Latent curve analysis. Psychometrika, 55, 107–122.Google Scholar
Mermelstein, R., Hedeker, D., & Weinstein, S. (2010). Ecological momentary assessment of mood-smoking relationships in adolescent smokers. In Kassel, J. D. (Ed.), Substance abuse and emotion (pp. 217–236). Washington DC: American Psychological Association.Google Scholar
Mezzich, A., Tarter, R., Kirisci, L., Feske, U., Day, B., & Gao, Z. (2007). Reciprocal influence of parent discipline and child's behavior on risk for substance use disorder: A 9-year prospective study. American Journal of Drug and Alcohol Abuse, 33, 851–867.Google Scholar
Miller-Johnson, S., Lochman, J. E., Coie, J. D., Terry, R., & Hyman, C. (1998). Comorbidity of conduct and depressive problems at sixth grade: Substance use outcomes across adolescence. Journal of Abnormal Child Psychology, 26, 221–232.Google Scholar
Monti, P. M., Miranda, R., Nixon, K., Sher, K. J., Swartzwelder, H. S., Tapert, S. F., et al. (2005). Adolescence: Booze, brains and behavior. Alcoholism: Clinical and Experimental Research, 29, 207–220.Google Scholar
Morales, M., Varlinskaya, E. I., & Spear, L. P. (2011). Age differences in the expression of acute and chronic tolerance to ethanol in male and female rats. Alcoholism: Clinical and Experimental Research, 35, 1614–1624.Google Scholar
Morean, M. E., & Corbin, W. R. (2010). Subjective response to alcohol: A critical review of the literature. Alcoholism: Clinical and Experimental Research, 34, 385–395.Google Scholar
Muthen, B. O. (2001). Second-generation structural equation modeling with a combination of categorical and continuous latent variables: New opportunities for latent class/latent growth modeling. In Sayer, A. & Collins, L. (Eds.), New methods for the analysis of change (pp. 291–322). Washington, DC: American Psychological Association.Google Scholar
Muthen, B. O. (2003). Statistical and substantive checking in growth mixture modeling: Comment on Bauer and Curran (2003). Psychological Methods, 8, 369–377.Google Scholar
Muthen, B., & Shedden, K. (1999). Finite mixture modeling with mixture outcomes using the EM algorithm. Biometrics, 55, 463–469.Google Scholar
Nagin, D. (1999). Analyzing developmental trajectories: A semi-parametric, group-based approach. Psychological Methods, 4, 139–157.Google Scholar
Nagin, D. (2004). Response to “Methodological sensitivities to latent class analysis of long-term criminal trajectories.” Journal of Quantitative Criminology, 20, 27–35.Google Scholar
Nagin, D. S., & Tremblay, R. E. (2001). Analyzing developmental trajectories of distinct but related behaviors: A group-based method. Psychological Methods, 6, 18–34.Google Scholar
Nagin, D. S., & Tremblay, R. E. (2005). Developmental trajectory groups: Fact or a useful statistical fiction? Criminology, 43, 873–904.Google Scholar
National Institute on Alcohol Abuse and Alcoholism. (2000, June). 10th Special report to the U.S. Congress on alcohol and health (NIH Publication No. 00-1583). Bethesda, MD: NIH.Google Scholar
National Institute on Alcohol Abuse and Alcoholism. (2006). Alcohol across the lifespan: Five-year strategic plan FY07–11. Bethesda, MD: NIH.Google Scholar
Nelson, L. J., Rubin, K. H., & Fox, N. A. (2005). Social withdrawal, observed peer acceptance, and the development of self-perceptions in children ages 4 to 7 years. Early Childhood Research Quarterly, 20, 185–200.Google Scholar
Newcomb, M. D., & Bentler, P. M. (1986). Drug use, educational aspirations, and work force involvement: The transition from adolescence to young adulthood. American Journal of Community Psychology, 14, 303–321.Google Scholar
Newlin, D. B., & Thomson, J. B. (1990). Alcohol challenge with sons of alcoholics: A critical review and analysis. Psychological Bulletin, 108, 383–402.Google Scholar
Nigg, J. T. (2000). On inhibition/disinhibition in developmental psychopathology: Views from cognitive and personality psychology and a working inhibition taxonomy. Psychological Bulletin, 126, 220–246.Google Scholar
Nurnberger, J. I., Foroud, T., Flury, L., Meyer, E. T., & Wiegand, R. (2002). Is there a genetic relationship between alcoholism and depression? Alcohol Research & Health, 26, 233–239.Google Scholar
O'Connor, R. M., Lopez-Vergara, H. I., & Colder, C. R. (2012). Implicit cognition and substance use: The role of controlled and automatic processes in children. Journal of Studies on Alcohol and Drugs, 73, 134–143.Google Scholar
Odgers, C. L., Caspi, A., Broadbent, J. M., Dickson, N., Hancox, R. J., Harrington, H. L., et al. (2007). Prediction of differential adult health burden by conduct problem subtypes in males. Archives of General Psychiatry, 64, 476–484.Google Scholar
O'Malley, P. M. (2004). Maturing out of problematic alcohol use. Alcohol Research and Health, 28, 202–204.Google Scholar
O'Neill, S. E., & Sher, K. J. (2000). Physiological alcohol dependence symptoms in early adulthood: A longitudinal perspective. Experimental and Clinical Psychopharmacology, 8, 493–508.Google Scholar
Park, A., Sher, K., Todorov, A., & Heath, A. (2011). Interaction between the DRD4 VNTR polymorphism and proximal and distal environments in alcohol dependence during emerging and young adulthood. Journal of Abnormal Psychology, 120, 585–595.Google Scholar
Paus, T. (2005). Mapping brain maturation and cognitive development during adolescence. Trends in Cognitive Sciences, 9, 60–68.Google Scholar
Peeters, M., Wiers, R., Monshouwer, K., Van de Schoot, R., Janssen, T., & Vollebergh, W. (2012). Automatic processes in at-risk adolescents: The role of alcohol-approach tendencies and response inhibition in drinking behavior. Addiction, 107, 1939–1946.Google Scholar
Pieters, S., Van Der Vorst, H., Burk, W., Schoenmakers, T., Van Den Wildenberg, E., Smeets, H., et al. (2011). The effect of the OPRM1 and DRD4 polymorphisms on the relation between attentional bias and alcohol use in adolescence and young adulthood. Developmental Cognitive Neuroscience, 1, 591–599.Google Scholar
Quinn, P. D., & Fromme, K. (2011). Subjective response to alcohol challenge: A quantitative review. Alcoholism: Clinical and Experimental Research, 35, 1759–1770.Google Scholar
Quinn, P. D., & Harden, K. P. (2013). Differential changes in impulsivity and sensation seeking and the escalation of substance use from adolescence to early adulthood. Development and Psychopathology, 25, 223–239.Google Scholar
Quinn, P. D., Stappenbeck, C. A., & Fromme, K. (2011). Collegiate heavy drinking prospectively predicts change in sensation seeking and impulsivity. Journal of Abnormal Psychology, 120, 543–556.Google Scholar
Raudenbush, S. W., & Bryk, A. S. (2002). Hierarchical linear models: Applications and data analysis methods (2nd ed.). Thousand Oaks, CA: Sage.Google Scholar
Reimuller, A., Shadur, J., & Hussong, A. M. (2011). Parental social support as a moderator of self-medication in adolescents. Addictive Behaviors, 36, 203–208.Google Scholar
Roberts, B. W., Walton, K. E, & Viechtbauer, W. (2006). Patterns of mean-level change in personality traits across the life course: A meta-analysis of longitudinal studies. Psychological Bulletin, 132, 1–25.Google ScholarPubMed
Robins, L. N., & Price, R. K. (1991). Adult disorders predicted by childhood conduct problems: Results from the NIMH Epidemiologic Catchment Area project. Psychiatry: Interpersonal and Biological Processes, 54, 116–132.Google Scholar
Roefs, A., Huiding, J., Smulders, F., MacLeod, C., de Jong, P., Wiers, R., et al. (2011). Implicit measures of association in psychopathology research. Psychological Bulletin, 137, 149–193.Google Scholar
Rosenquist, J. N., Murabito, J., Fowler, J., & Christakis, N. (2010). The spread of alcohol consumption in a large social network. Annals of Internal Medicine, 152, 425–441.Google Scholar
Rubin, K. H., & Mills, R. S. (1991). Conceptualizing developmental pathways to internalizing disorders in childhood. Canadian Journal of Behavioural Science, 23, 300–317.Google Scholar
Saraceno, L., Munafó, M., Heron, J., Craddock, N., & Van Den Bree, M. B. M. (2009). Genetic and non-genetic influences on the development of co-occurring alcohol problem use and internalizing symptomatology in adolescence: A review. Addiction, 104, 1100–1121.Google Scholar
Sayette, M., Creswell, K., Dimhoff, J., Fairairn, C., Cohn, J., Heckman, B., et al. (2012). Alcohol and group formation: A multimodal investigation of the effects of alcohol on emotion and social bonding. Psychological Science, 23, 869–878.Google Scholar
Schuckit, M. A. (1984). Subjective responses to alcohol in sons of alcoholics and control subjects. Archives of General Psychiatry, 41, 879–884.Google Scholar
Schuckit, M. A., & Smith, T. L. (1996). An 8-year follow-up of 450 sons of alcoholic and control subjects. Archives of General Psychiatry, 53, 202–210.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, 289–304.Google Scholar
Sher, K. J. (1987). Stress-response dampening. In Leonard, K. E. & Blane, H. T. (Eds.), Psychological theories of drinking and alcoholism (pp. 227–271). New York: Guilford Press.Google Scholar
Sher, K. J. (1991). Children of alcoholics: A critical appraisal of theory and research. University of Chicago Press: Chicago.Google Scholar
Sher, K. J. (1993). Children of alcoholics and the intergenerational transmission of alcoholism: A biopsychosocial perspective. In Baer, J. S., Marlatt, G. A., & Joseph, R. J. (Eds.), Addictive behaviors across the life span: Prevention, treatment, and policy issues (pp. 3–33). Thousand Oaks, CA: Sage.Google Scholar
Sher, K. J., Bartholow, B. D., Peuser, K., Erickson, D. J., & Wood, M. D. (2007). Stress-response dampening effects of alcohol: Attention as a mediator and moderator. Journal of Abnormal Psychology, 116, 362–377.Google Scholar
Sher, K. J., Dick, D. M., Crabbe, J. C., Hutchison, K. E., O'Malley, S. S., & Heath, A. C. (2010). Review: Consilient research approaches in studying Gene × Environment interactions in alcohol research. Addiction Biology, 15, 200–216.Google Scholar
Sher, K. J., & Gotham, H. J. (1999). Pathological alcohol involvement: A developmental disorder of young adulthood. Development and Psychopathology, 11, 933–956.Google Scholar
Sher, K. J., Gotham, H. J., & Watson, A. L. (2004). Trajectories of dynamic predictors of disorder: Their meanings and implications. Development and Psychopathology, 16, 825–856.Google Scholar
Sher, K. J., & Grekin, E. R. (2007). Alcohol and affect regulation. In Gross, J. (Ed.), Handbook of emotion regulation (pp. 560–580). New York: Guilford Press.Google Scholar
Sher, K. J., Jackson, K. M., & Steinley, D. (2011). Alcohol use trajectories and the ubiquitous cat's cradle: Cause for concern? Journal of Abnormal Psychology, 120, 322–335.Google Scholar
Sher, K. J., & Wood, M. D. (2005). Subjective effects of alcohol: II. Individual differences. In Earleywine, M. (Ed.), Mind-altering drugs: The science of subjective experience (pp. 135–153). Oxford: Oxford University Press.Google Scholar
Sher, K. J., Wood, M. D., Richardson, A. E., & Jackson, K. M. (2005). Subjective effects of alcohol: I. Effects of the drink and drinking context. In Earleywine, M. (Ed.), Mind-altering drugs: Scientific evidence for subjective experience (pp. 86–134). New York: Oxford University Press.Google Scholar
Shoal, G. D., Castaneda, J. O., & Giancola, P. R. (2005). Worry moderates the relation between negative affectivity and affect-related substance use in adolescent males: A prospective study of maladaptive emotional self-regulation. Personality and Individual Differences, 38, 475–485.Google Scholar
Sijtsema, J. J., Lindenberg, S. M., & Veenstra, R. (2010). Do they get what they want or are they stuck with what they can get? Testing homophily against default selection for friendships of highly aggressive boys. The TRAILS study. Journal of Abnormal Child Psychology, 38, 803–813.Google Scholar
Simons, J. S., Gaher, R. M., Oliver, M. N. I., Bush, J. A., & Palmer, M. A. (2005). An experience sampling study of associations between affect and alcohol use and problems among college students. Journal of Studies on Alcohol, 66, 459–469.Google Scholar
Spear, L. P. (2000). The adolescent brain and age-related behavioral manifestations. Neuroscience & Biobehavioral Reviews, 24, 417–463.Google Scholar
Spear, L. P., & Varlinskaya, E. I. (2005). Adolescence: Alcohol sensitivity, tolerance, and intake. Recent Developments in Alcoholism, 17, 143–159.Google Scholar
Spoth, R., Greenberg, M. T., & Turrisi, R. (2008). Preventive interventions addressing underage drinking: State of the evidence and steps toward public health impact. Pediatrics, S121, S311–S336.Google Scholar
Stacy, A., & Wiers, R. (2010). Implicit cognition and addiction: A tool for explaining paradoxical behavior. Annual Review of Clinical Psychology, 6, 551–575.Google Scholar
Stattin, H., & Magnusson, D. (1990). Pubertal maturation in female development: Vol 2. Paths through Life. Hillsdale, NJ: Erlbaum.Google Scholar
Steele, C. M., & Josephs, R. A. (1990). Alcohol myopia: Its prized and dangerous effects. American Psychologist, 45, 921–933.Google Scholar
Steinberg, L. (2008). A social neuroscience perspective on adolescent risk-taking. Developmental Review, 28, 78–106.Google Scholar
Steinberg, L., & Scott, E. (2003). Less guilt by reason of adolescence: Developmental immaturity, diminished responsibility, and the juvenile death penalty. American Psychologist, 58, 1009–1018.Google Scholar
Swartzwelder, H. S., Wilson, W. A., & Tayyeb, M. I. (1995). Age-dependent inhibition of long-term potentiation by ethanol in immature versus mature hippocampus. Alcoholism: Clinical and Experimental Research, 19, 1480–1485.Google Scholar
Taga, K. A., Markey, C. N., & Friedman, H. S. (2006). A longitudinal investigation of associations between boys’ pubertal timing and adult behavioral health and well-being. Journal of Youth and Adolescence, 35, 401–411.Google Scholar
Tapert, S. F., Brown, G. G., Baratta, M. V., & Brown, S. A. (2004). fMRI BOLD response to alcohol stimuli in alcohol dependent young women. Addictive Behavior, 29, 33–50.Google Scholar
Thush, C., Wiers, R., Ames, S., Grenard, J., Susman, S., & Stacy, A. (2008). Interactions between implicit and explicit cognition and working memory capacity in the prediction of alcohol use in at-risk adolescents. Drug and Alcohol Dependence, 94, 116–124.Google Scholar
Todd, M., Armeli, S., Tennen, H., Carney, M. A., & Affleck, G. (2003). A daily diary validity test of drinking to cope measures. Psychology of Addictive Behaviors, 17, 303–311.Google Scholar
Trull, T., Sher, K. J., Minks-Brown, C., Durbin, J., & Burr, R. (2000). Borderline personality disorder and substance use disorders: A review and integration. Clinical Psychology Review, 20, 235–253.Google Scholar
Van der Zwaluw, C., Engels, R., Vermulst, A., Franke, B., Buitelaar, J., Verkes, R. et al. . (2010). Interaction between dopamine D2 receptor genotype and parental rule-setting in adolescent alcohol use: Evidence for a gene-parenting interaction. Molecular Psychiatry, 15, 727–735.Google Scholar
Vengeliene, V., Bilbao, A., Molander, A., & Spanagel, R. (2008). Neuropharmacology of alcohol addiction. British Journal of Pharmacology, 154, 299–315.Google Scholar
Vergés, A., Jackson, K., Bucholz, K., Grant, J., Trull, T., Wood, P., et al. (2012). Deconstructing the age-prevalence curve of alcohol dependence: Why “maturing out” is only a small piece of the puzzle. Journal of Abnormal Psychology, 121, 511–523.Google Scholar
Vergés, A., Littlefield, A. K., & Sher, K. J. (2011). Did lifetime rates of alcohol use disorders increase by 67% in 10 years? A comparison of NLAES and NESARC. Journal of Abnormal Psychology, 120, 868–877.Google Scholar
Véronneau, M., Vitaro, F., Brendgen, M., Dishion, T. J., & Tremblay, R. E. (2010). Transactional analysis of the reciprocal links between peer experiences and academic achievement from middle childhood to early adolescence. Developmental Psychology, 46, 773–790.Google Scholar
Wardell, J. D., O'Connor, R. M., Read, J. P., & Colder, C. R. (2012). Behavioral approach system moderates the prospective association between the behavioral inhibition system and alcohol outcomes in college students. Journal of Studies on Alcohol and Drugs, 73, 1028–1036.Google Scholar
Westling, E., Andrews, J. A., Hampson, S. E., & Peterson, M. (2008). Pubertal timing and substance use: The effects of gender, parental monitoring and deviant peers. Journal of Adolescent Health, 42, 555–563.Google Scholar
White, J. L., Moffitt, T. E., Caspi, A., Bartusch, D. J., Needles, D. J., & Stouthamer-Loeber, M. (1994). Measuring impulsivity and examining its relationship to delinquency. Journal of Abnormal Psychology, 103, 192–205.Google Scholar
Whiteside, S. P., & Lynam, D. R. (2001). The Five Factor Model and impulsivity: Using a structural model of personality to understand impulsivity. Personality and Individual Differences, 30, 669–689.Google Scholar
Wiers, R., Ames, L., Hofmann, W., Krank, M., & Stacy, A. (2010). Impulsivity, impulsive and reflective processes and the development of alcohol use and misuse in adolescents and young adults. Frontiers in Psychology, 1, 144.Google Scholar
Wikler, A. (1948). Recent progress in research on the neurophysiologic basis of morphine addiction. American Journal of Psychiatry, 105, 329–338.Google Scholar
Wills, T. A., Sandy, J. M., Yaeger, A. M., Cleary, S. D., & Shinar, O. (2001). Coping dimensions, life stress, and adolescent substance use: A latent growth analysis. Journal of Abnormal Psychology, 110, 309–323.Google Scholar
Wills, T. A., Vaccaro, D., McNamara, G., & Hirky, A. E. (1996). Escalated substance use: A longitudinal grouping analysis from early to middle adolescence. Journal of Abnormal Psychology, 105, 166–180.Google Scholar
Winters, K. C., Martin, C. S., & Chung, T. (2011). Substance use disorders in DSM-V when applied to adolescents. Addiction, 106, 882–884.Google Scholar
Wohlwill, J. F. (1991). Relations between method and theory in developmental research: A partial-isomorphism view. Annals of Theoretical Psychology, 7, 91–138.Google Scholar
Yamaguchi, K., & Kandel, D. (1985). On the resolution of role incompatibility: Life event history analysis of family roles and marijuana use. American Journal of Sociology, 90, 1284–1325.Google Scholar
Young-Wolff, K. C., Enoch, M., & Prescott, C. A. (2011). The influence of gene–environment interactions on alcohol consumption and alcohol use disorders: A comprehensive review. Clinical Psychology Review, 31, 800–816.Google Scholar
Zeigler, D. W., Wang, C. C., Yoast, R. A., Dickinson, B. D., McCaffree, M. A., Robinowitz, C. B., et al. (2005). The neurocognitive effects of alcohol on adolescents and college students. Preventive Medicine, 40, 23–32.Google Scholar
Zhang, Y., Guo, X., Saitz, R., Levy, D., Sartini, E., Niu, J., et al. (2008). Secular trends in alcohol consumption over 50 years: The Framingham Study. American Journal of Medicine, 121, 695–701.Google Scholar
Zucker, R. A. (1986). The four alcoholisms: A developmental account of the etiologic process. Nebraska Symposium on Motivation, 34, 27–83.Google Scholar
Zucker, R. A. (2006). Alcohol use and the alcohol use disorders: A developmental–biopsychosocial systems formulation covering the life course. In Cicchetti, D. & Cohen, D. J. (Eds.), Developmental psychopathology: Vol. 3. Risk, disorder, and adaptation (2nd ed., pp. 620–656). Hoboken, NJ: Wiley.Google Scholar
Zucker, R. A., Donovan, J., Masten, A., Mattson, M., & Moss, H. B. (2008). Early developmental processes and the continuity of risk for underage drinking and problem drinking. Pediatrics, 121(Suppl. 4), S252–S272.Google Scholar