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Trajectories of dynamic predictors of disorder: Their meanings and implications

Published online by Cambridge University Press:  01 December 2004

KENNETH J. SHER ,
HEATHER J. GOTHAM  and
AMY L. WATSON
KENNETH J. SHER
Affiliation:
University of Missouri–Columbia
HEATHER J. GOTHAM
Affiliation:
University of Missouri–Columbia
AMY L. WATSON
Affiliation:
University of Missouri–Columbia
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Abstract

Developmental psychopathologists are increasingly focused on characterizing heterogeneity of trajectories of psychological disorders across the life course (e.g., developmentally limited vs. chronic forms of disorder). Although the developmental significance of trajectories has been highlighted, there has been little attention to relations between trajectories and their etiologically and clinically relevant time-varying covariates (dynamic predictors). Depending upon the functional relation between a disorder and a dynamic predictor, we expect to see different trajectories of dynamic predictors. Thus, we propose a taxonomy of trajectories of dynamic predictors of course of disorder and provide an initial investigation into its validity. Using a mixed-gender, high-risk sample of young adults followed over 7 years, we identified dynamic predictors that covary with the course of alcohol use disorder (AUD). Based on a logically derived classification to facilitate interpretation of findings, three comparison groups were examined: persons whose AUD “remitted” (n = 33), those with a chronic AUD (n = 29), and nondiagnosers (n = 274). We hypothesized seven patterns of dynamic prediction (stable vulnerability indicators, course trackers, deterioration markers, developmentally specific variables, developmental lag markers, course-referenced variables, and recovery behaviors) and found evidence for five of them. The interpretation of markers of risk for development and course of AUDs and their implications for prevention, early intervention and formal/self-change treatments are discussed.Preparation of this article was supported by NIH Grants R37AA07231 and R01AA013987 to Kenneth J. Sher and P50 AA11998 to Andrew Heath from the National Institute on Alcohol Abuse and Alcoholism. Portions of this research were presented at the annual meeting of the Research Society on Alcoholism, Denver, CO, June 2000; the biennial meeting for the Society for Research on Adolescence, April 2000; and the Michigan Symposium on Developmental Discontinuities, June 2002. We gratefully acknowledge Laurie Chassin, Patrick Curran, Andrea Hussong, Kristina M. Jackson, Jenny Larkins, Terrie Moffitt, and Susan O'Neill for providing numerous, helpful comments on an earlier version of this article.

Type
Research Article
Information
Development and Psychopathology , Volume 16 , Issue 4 , December 2004 , pp. 825 - 856
Copyright
© 2004 Cambridge University Press

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References

REFERENCES

Achenbach, T. M. (1990). Conceptualization of developmental psychopathology. In M. Lewis & S. M. Miller (Eds.), Handbook of developmental psychopathology (pp. 3–14). New York: Plenum Press.
American Psychiatric Association. (1980). Diagnostic and statistical manual of mental disorders (3rd ed.). Washington, DC: Author.
American Psychiatric Association. (1987). Diagnostic and statistical manual of mental disorders (3rd ed., revised). Washington, DC: Author.
American Psychiatric Association. (1994). Diagnostic and statistical manual of mental disorders (4th ed.). Washington, DC: Author.
Baer, J. S., Kivlahan, D. R., Blume, A. W., McKnight, P., & Marlatt, G. A. (2001). Brief intervention for heavy-drinking college students: 4-year follow-up and natural history. American Journal of Public Health 91, 1310–1316.Google Scholar
Barnes, G. E. (1983). Clinical and personality characteristics. In B. Kissin & H. Begleiter (Eds.), The pathogenesis of alcoholism: Psychosocial factors (Vol. 6, pp. 113–196). New York: Plenum Press.
Bates, M. E. (2000). Integrating person-centered and variable-centered approaches in the study of developmental courses and transitions in alcohol use: Introduction to the special section. Alcoholism: Clinical & Experimental Research 24, 878–881.Google Scholar
Bates, M. E., & Labouvie, E. W. (1995). Personality-environment constellations and alcohol use: A process-oriented study of intraindividual change during adolescence. Psychology of Addictive Behaviors 9, 23–35.Google Scholar
Bates, M. E., & Labouvie, E. W. (1997). Adolescent risk factors and the prediction of persistent alcohol and drug use into adulthood. Alcoholism: Clinical & Experimental Research 21, 944–950.Google Scholar
Baumrind, D., & Moselle, K. A. (1985). A developmental perspective on adolescent drug abuse. Advances in Alcohol and Substance Abuse 4, 41–67.Google Scholar
Block, J. (1971). Lives through time. Berkeley, CA: Bancroft Books.
Bongers, I. L., Koot, H. M., van der Ende, J., & Verhulst, F. C. (2003). The normative development of child and adolescent problem behavior. Journal of Abnormal Psychology 112, 179–192.Google Scholar
Cahalan, D., Cisin, I. H., & Crossley, H. M. (1969). American drinking practices: A national study of drinking behavior and attitudes (Monograph 6). New Brunswick, NJ: Rutgers Center of Alcohol Studies.
Caspi, A., & Roberts, B. W. (1999). Personality continuity and change across the life course. In L. A. Pervin & O. P. John (Eds.) Handbook of personality: Theory and research (2nd ed., pp. 300–326).
Chen, K., & Kandel, D. B. (1995). The natural history of drug use from adolescence to the mid-thirties in a general population study. American Journal of Public Health 85, 41–47.Google Scholar
Christiansen, B. A., Goldman, M. S., & Brown, S. A. (1985). The differential development of adolescent alcohol expectancies may predict adult alcoholism. Addictive Behaviors 10, 299–306.Google Scholar
Cloninger, C. R. (1987). Tridimensional Personality Questionnaire, Version 4. Unpublished manuscript.
Connors, G. J., Collins, R. L., Dermen, K. H., & Koutsky, J. R. (1998). Substance use restraint: An extension of the construct to a clinical population. Cognitive Therapy & Research 22, 75–87.Google Scholar
Cornblatt, B. A., Heinssen, R. K., Cannon, T. D., & Lencz, T. (Eds.). (2003). Issue theme: Conceptual and methodological advances in prodromal research. Schizophrenia Bulletin 29.Google Scholar
Costa, P. T., Jr., & McCrae, R. R. (1986). Personality stability and its implications for clinical psychology. Clinical Psychology Review 6, 407–423.Google Scholar
Costa, P. T., Jr., & McCrae, R. R. (1994). Stability and change in personality from adolescence through young adulthood. In C. F. Halverson, Jr., G. A. Kohnstamm, & R. P. Martin (Eds.), The developing structure of temperament and personality from infancy to adulthood (pp. 139–150). Hillsdale, NJ: Erlbaum.
Costa, P. T., Jr., & McCrae, R. R. (1997). Longitudinal stability of adult personality. In R. Hogan, J. A. Johnson, & S. R. Briggs (Eds.), Handbook of personality psychology (pp. 269–290). New York: Academic Press.
Crews, T., & Sher, K. J. (1992). Using adapted short MASTs for assessing parental alcoholism: Reliability and validity. Alcoholism: Clinical & Experimental Research 16, 576–584.Google Scholar
Curran, P. J., Muthén, B. O., & Harford, T. C. (1998). The influence of changes in marital status on developmental trajectories of alcohol use in young adults. Journal of Studies on Alcohol 59, 647–658.Google Scholar
Curran, P. J., Stice, E., & Chassin, L. (1997). The relation between adolescent alcohol use and peer alcohol use: A longitudinal random coefficients model. Journal of Consulting and Clinical Psychology 65, 130–140.Google Scholar
Darkes, J., & Goldman, M. S. (1993). Expectancy challenge and drinking reduction: Experimental evidence for a mediational process. Journal of Consulting and Clinical Psychology 61, 344–353.Google Scholar
Darkes, J., & Goldman, M. S. (1998). Expectancy challenge and drinking reduction: Process and structure in the alcohol expectancy network. Experimental and Clinical Psychopharmacology 6, 64–76.Google Scholar
Derogatis, L. R. (1993). Brief Symptom Inventory (BSI): Administration, scoring and procedures manual (3rd ed.). Minneapolis, MN: National Computer Systems, Inc.
Derogatis, L. R., & Cleary, P. A. (1977). Confirmation of the dimensional structure of the SCL-90-R: A study in construct validation. Journal of Clinical Psychology 33, 981–989.Google Scholar
Endicott, J., Andreason, N., & Spitzer, R. L. (1978). Family History-Research Diagnostic Criteria (FH-RDC). New York: New York State Psychiatric Institute.
Estes, W. K. (1956). The problem of inference from curves based on group data. Psychological Bulletin 53, 134–140.Google Scholar
Eysenck, H. J., & Eysenck, S. B. G. (1975). Manual of the Eysenck Personality Questionnaire. San Diego, CA: Educational and Industrial Testing Services.
Fenigstein, A., Scheier, M. F., & Buss, A. H., (1975). Public and private self-consciousness: Assessment and theory. Journal of Consulting and Clinical Psychology 43, 522–527.Google Scholar
Galambos, N. L., Barker, E. T., & Almeida, D. M. (2003). Parents do matter: Trajectories of change in externalizing and internalizing problems in early adolescence. Child Development 74, 578–594.Google Scholar
Goldman, M. S. (1987). The role of time and practice in recovery of function in alcoholics. In O. A. Parsons, N. Butters, & P. E. Nathan (Eds.), Neuropsychology of alcoholism: Implications for diagnosis and treatment (pp. 291–321). New York: Guilford Press.
Gotham, H. J., Sher, K. J., & Wood, P. K. (1997). Predicting stability and change in frequency of intoxication from the college years to beyond: Individual difference and role transition variables. Journal of Abnormal Psychology 106, 619–629.Google Scholar
Gotham, H. J., Sher, K. J., & Wood, P. K. (2003). Alcohol involvement and developmental task completion during young adulthood. Journal of Studies on Alcohol 64, 32–42.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. Alcohol Health and Research World 18, 243–248.Google Scholar
Guydish, J., & Greenfield, T. K. (1990). Alcohol-related cognitions: Do they predict treatment outcome? Addictive Behaviors 15, 423–430.Google Scholar
Herd, D. (1988). Drinking by Black and White women: Results from a national survey. Social Problems 35, 493–505.Google Scholar
Higuchi, S., Parrish, K. M., Dufour, M. C., Towle, L. H., & Harford, T. C. (1994). Relationship between age and drinking patterns and drinking problems among Japanese, Japanese-Americans, and Caucasians. Alcoholism: Clinical & Experimental Research 18, 305–310.Google Scholar
Hoffman, H., Loper, R., & Kammeier, M. L. (1974). Identifying future alcoholics with MMPI alcoholism scales. Quarterly Journal of Studies on Alcohol 35, 490–498.Google Scholar
Horn, J. L. (2000). Comments on integrating person-centered and variable-centered research on problems associated with the use of alcohol. Alcoholism: Clinical & Experimental Research 24, 924–930.Google Scholar
Jackson, K. M., & Sher, K. J. (2004). Similarities and differences of longitudinal phenotypes across alternate measures of alcohol involvement. Unpublished manuscript.
Jackson, K. M., Sher, K. J., Cooper, M. L., & Wood, P. K. (2002). Adolescent alcohol and tobacco use: Onset, persistence and trajectories of use across two samples. Addiction 97, 517–531.Google Scholar
Jackson, K. M., Sher, K. J., & Wood, P. K. (2000a). Prospective analyses of comorbidity: Tobacco and alcohol use disorders. Journal of Abnormal Psychology 109, 679–694.Google Scholar
Jackson, K. M., Sher, K. J., & Wood, P. K. (2000b). Trajectories of conjoint substance use disorders: A developmental, typological approach to comorbidity. Alcoholism: Clinical & Experimental Research 24, 902–913.Google Scholar
Jessor, R., & Jessor, S. L. (1973). SPBV-4: College study. Denver, CO: University of Colorado, Institute of Behavioral Sciences.
Jessor, R., & Jessor, S. L. (1981). Young adult follow-up study. Denver, CO: University of Colorado, Institute of Behavioral Sciences.
Johnston, L. D., O'Malley, P. M., & Bachman, J. G. (2000). Monitoring the Future national survey results on drug use, 1975–1999: Vol. II. College students and young adults (NIH Publication No. 00-4803). Rockville, MD: National Institute on Drug Abuse.
Jones, B. L., Nagin, D. S., & Roeder, K. (2001). A SAS procedure based on mixture models for estimating developmental trajectories. Sociological Methods & Research 29, 374–393.Google Scholar
Kraepelin, E. (1899). Psychiatrie (6. Aufl.). Leipzig: Barth.
Kushner, M. G., Sher, K. J., & Erickson, D. J. (1999). Prospective analyses of the relation between DSM-III anxiety disorders and alcohol use disorders. American Journal of Psychiatry 156, 723–732.Google Scholar
Kushner, M. G., Sher, K. J., Wood, M. D., & Wood, P. K. (1994). Anxiety and drinking behavior: Moderating effects of tension-reduction expectancies. Alcoholism: Clinical & Experimental Research 18, 852–860.Google Scholar
MacAndrew, C. (1965). The differentiation of male alcoholic out-patients from non-alcoholic psychiatric patients by means of the MMPI. Quarterly Journal of Studies on Alcohol, 26, 238, 246.Google Scholar
McGue, M., Bacon, S., & Lykken, D. T. (1993). Personality stability and change in early adulthood: A behavioral genetic analysis. Developmental Psychology 29, 98–109.Google Scholar
Moffitt, T. E. (1993). Adolescence-limited and life-course-persistent antisocial behavior: A developmental taxonomy. Psychological Review 100, 674–701.Google Scholar
Mullahy, J., & Sindelar, J. (1992). Effects of alcohol on labor market success: Income, earnings, labor supply, and occupation. Alcohol Health and Research World 16, 134–139.Google Scholar
Muthén, B. (2001). Latent variable mixture modeling. In G. A. Marcoulides & R. E. Schumacker (Eds.), New developments and techniques in structural equation modeling (pp. 1–33). Hillsdale, NJ: Erlbaum.
Muthén, B., & Muthén, L. K. (2000). Integrating person-centered and variable-centered analyses: Growth mixture modeling with latent trajectory classes. Alcoholism: Clinical & Experimental Research 24, 882–891.Google Scholar
Muthén, L. K., & Muthén, B. O. (2001). Mplus user's guide, Version 2. Los Angeles: Muthén & Muthén.
Nagin, D. (1999). Analyzing developmental trajectories: A semi-parametric, group-based approach. Psychological Methods 4, 139–177.Google Scholar
Nagin, D., & Tremblay, R. E. (2001). Analyzing developmental trajectories of distinct but related behaviors: A group-based method. Psychological Methods 6, 18–34.Google Scholar
National Institute on Alcohol Abuse and Alcoholism. (2000). Tenth special report to the U.S. Congress on alcohol and health (NIH Publication No. 00-1583). Rockville, MD: Author.
Newcomb, M. D., & Bentler, P. M. (1988). Consequences of adolescent drug use: Impact on the lives of young adults. Newbury Park, CA: Sage.
Nuechterlein, K. H. (1990). Methodological considerations in the search for indicators of vulnerability to severe psychopathology. In J. W. Rohrbaugh, R. Parasuraman, & R. Johnson, Jr. (Eds.), Event-related brain potentials: Basic issues and applications (pp. 364–373). New York: Oxford University Press.
Nuechterlein, K. H., & Dawson, M. E. (1984). A heuristic vulnerability/stress model of schizophrenic episodes. Schizophrenia Bulletin 10, 300–312.Google Scholar
O'Brien, R. G., & Kaiser, M. K. (1985). MANOVA method for analyzing repeated measures designs: An extensive primer. Psychological Bulletin 97, 316–333.Google Scholar
Pearlin, L. I., & Radabaugh, C. W. (1976). Economic strains and the coping functions of alcohol. American Journal of Sociology 82, 652–663.Google Scholar
Perreira, K. M., & Sloan, F. A. (2001). Life events and alcohol consumption among mature adults: A longitudinal analysis. Journal of Studies on Alcohol 62, 501–508.Google Scholar
Project Match Research Group. (1997). Matching alcoholism treatments to client heterogeneity: Project MATCH Posttreatment drinking- outcomes. Journal of Studies on Alcohol 58, 7–29.Google Scholar
Rainer, M., Mucke, H. A. M., Chwatal, K., & Havelec, L. (1996). Alcohol-induced organic cerebral psychosyndromes: Partial reversal of cognitive impairments assisted by dihydroergocristine. Psychopharmacology 127, 365–369.Google Scholar
Raskin, G., Sher, K. J., & Wood, P. K. (1993). Resolving the direction of causality between reasons for drinking and alcohol use: A four-wave prospective study. Poster presented at the Research Society on Alcoholism annual meeting, San Antonio, TX.
Raskin White, H., Bates, M. E., & Buyske, S. (2001). Adolescence-limited versus persistent delinquency: Extending Moffitt's hypothesis into adulthood. Journal of Abnormal Psychology 110, 600–609.Google Scholar
Roberts, B. W., & DelVecchio, W. F. (2000). The rank-order consistency of personality traits from childhood to old age: A quantitative review of longitudinal studies. Psychological Bulletin 126, 3–25.Google Scholar
Robins, L. N., Helzer, J. E., Cottler, L., & Goldring, E. (1989). National Institute of Mental Health Diagnostic Interview Schedule, Version III—Revised. St. Louis, MO: Washington University.
Robins, L. N., Helzer, J. E., Croughan, J., Williams, J. B. W., & Spitzer, R. L. (1985). National Institute of Mental Health Diagnostic Interview Schedule, version III-A. ADDM-T-42-3 (4-85). Washington, DC: Institute of Mental Health.
Rosenberg, M. (1979). Conceiving the self. New York: Basic Books.
Russell, M., Peirce, R. S., Chan, A. W. K., Wieczorek, W. F., Moscato, B. S., & Nochajski, T. H. (2001). Natural recovery in a community-based sample of alcoholics: Study design and descriptive data. Substance Use & Misuse 36, 1417–1441.Google Scholar
Rutter, M. (1996). Developmental psychopathology: Concepts and prospects. In M. Lenzenweger & J. Haugaard (Eds.), Frontiers of developmental psychopathology (pp. 209–237). New York: Oxford University Press.
Sanchez–Craig, M. (1984). A therapist's manual for secondary prevention of alcohol problems: Procedures for teaching moderate drinking and abstinence. Toronto: Addiction Research Foundation.
Sarason, I. G., Johnson, J. H., & Siegel, J. M. (1978). Assessing the impact of life changes: Development of the Life Experiences Survey. Journal of Consulting and Clinical Psychology 46, 932–946.Google Scholar
SAS Institute Inc. (1992). SAS Technical Report P-229. SAS/STAT software: Changes and enhancements, release 6.07. Cary, NC: Author.
Scheier, L. M., & Botvin, G. J. (1997). Expectancies as mediators of the effects of social influences and alcohol knowledge on adolescent alcohol use: A prospective analysis. Psychology of Addictive Behaviors 11, 48–64.Google Scholar
Scheier, L. M., Botvin, G. J., & Miller, N. L. (1999). Life events, neighborhood stress, psychosocial functioning, and alcohol use among urban minority youth. Journal of Child & Adolescent Substance Abuse 9, 19–50.Google Scholar
Schulenberg, J., O'Malley, P. M., Bachman, J. G., Wadsworth, K. M., & 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
Schulenberg, J., Wadsworth, K. M., O'Malley, P.M., Bachman, J.G., & Johnston, L.D. (1996). Adolescent risk factors for binge drinking during the transition to young adulthood: Variable and pattern-centered approaches to change. Developmental Psychology 32, 659–674.Google Scholar
Selzer, M., Vinokur, A., van Rooijen, L. (1975). A self-administered Short Michigan Alcoholism Screening Test (SMAST). Journal of Studies on Alcohol 36, 117–126.Google Scholar
Sher, K. J., Bartholow, B. D., & Wood, M. D. (2000). Personality and substance use disorders: A prospective study. Journal of Consulting and Clinical Psychology 68, 818–829.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., Erickson, D. J., & Wood, P. K. (1996). A prospective high-risk study of the relationship between Tobacco Dependence and Alcohol Use Disorders. Alcoholism: Clinical & Experimental Research 20, 485–491.Google Scholar
Sher, K. J., Trull, T. J., Bartholow, B., & Vieth, A. (1999). Personality and alcoholism: Issues, methods, and etiological processes. In H. Blane & K. Leonard (Eds.), Psychological theories of drinking and alcoholism (2nd ed., pp. 54–105). New York: Plenum.
Sher, K. J., Walitzer, K. S., Wood, P. K., & Brent, E. E. (1991). Characteristics of children of alcoholics: Putative risk factors, substance use and abuse, and psychopathology. Journal of Abnormal Psychology 100, 427–448.Google Scholar
Sher, K. J., & Wood, P. K. (1997). Problems encountered in conducting prospective research on alcohol use: A report from the field. In K. Bryant, M. Windle, & S. G. West (Eds.), Advances in prevention research methodology (pp. 3–41). Washington, DC: American Psychological Association.
Sher, K. J., Wood, P. K., & Gotham, H. (1996). The course of psychological distress in college: A prospective high-risk study. Journal of College Student Development 37, 42–51.Google Scholar
Sher, K. J., Wood, M. D., Wood, P. K., & Raskin, G. (1996). Alcohol outcome expectancies and alcohol use: A latent variable cross-lagged panel study. Journal of Abnormal Psychology 105, 561–574.Google Scholar
Slutske, W. S., Heath, A. C., Dinwiddie, S. H., Madden, P. A. F., Bucholz, K. K., Dunne, M. P., Statham, D. J., & Martin, N. G. (1998). Common genetic risk factors for conduct disorder and alcohol dependence. Journal of Abnormal Psychology 107, 363–374.Google Scholar
Slutske, W.S., Heath, A.C., Madden, P.A.F., Bucholz, K.K., Statham, D.J., & Martin, N.G. (2002). Personality and the genetic risk for alcohol dependence. Journal of Abnormal Psychology 111, 124–133.Google Scholar
Sobell, L. C., Cunningham, J. A., Sobell, M. B., Toneatto, T. (1993). Life-span perspective on natural recovery (self-change) from alcohol problems. In J. S. Baer, G. A. Marlatt, & R. J. McMahan (Eds.), Addictive behaviors across the life span (pp. 34–66). London: Sage Publications.
Sobell, M. B., & Sobell, L. C. (1998). Guiding self-change. In W. R. Miller & N. Heather (Eds.), Treating addictive behaviors. Applied clinical psychology (2nd ed., pp. 189–202). New York: Plenum Press.
Soldz, S., & Cui, X. (2002). Pathways through adolescent smoking: A 7-year longitudinal grouping analysis. Health Psychology 21, 495–504.Google Scholar
Spitzer, R. L. (1983). Psychiatric diagnosis: Are clinicians still necessary? Comprehensive Psychiatry 24, 399–411.Google Scholar
Tucker, J. A., Vuchinich, R. E., & Pukish, M. M. (1995). Molar environmental contexts surrounding recovery from alcohol problems by treated and untreated problem drinkers. Experimental and Clinical Psychopharmacology 3, 195–204.Google Scholar
Tucker, J. S., Orlando, M., & Ellickson, P. L. (2003). Patterns and correlates of binge drinking trajectories from early adolescence to young adulthood. Health Psychology 22, 79–87.Google Scholar
Vaillant, G. E. (1995). The Natural History of Alcoholism Revisited. Cambridge, MA: Harvard University Press.
Walitzer, K. S., & Sher, K. J. (1996). A prospective study of self-esteem and alcohol use disorders in early adulthood: Evidence for gender differences. Alcoholism: Clinical & Experimental Research 20, 1118–1124.Google Scholar
Watson, A. L., & Sher, K. J. (1998). Resolution of alcohol problems without treatment: Methodological issues and future directions of natural recovery research. Clinical Psychology: Science and Practice 5, 1–18.Google Scholar
Wechsler, H., Dowdall, G. W., Davenport, A., & Castillo, S. (1995). Correlates of college student binge drinking. American Journal of Public Health 85, 921–926.Google Scholar
Werch, C. E. (1990). Behavioral self-control strategies for deliberately limiting drinking among college students. Addictive Behaviors 15, 119–128.Google Scholar
Wood, M. D., Sher, K. J., & McGowan, A. K. (2000). Collegiate alcohol involvement and role attainment in early adulthood: Findings from a prospective high-risk study. Journal of Studies on Alcohol 61, 278–289.Google Scholar
Zeiss, A. M., & Lewinsohn, P. M. (1988). Enduring deficits after remissions of depression: A test of the scar hypothesis. Behaviour Research & Therapy 26, 151–158.Google Scholar
Ziemelis, A., Bucknam, R. B., & Elfessi, A. M. (2002). Prevention efforts underlying decreases in binge drinking at institutions of higher education. Journal of American College Health 50, 238–252.Google Scholar
Zucker, R. A. (1987). The four alcoholisms: A developmental account of the etiologic process. In P. C. Rivers (Ed.), Alcohol and addictive behaviors: Nebraska Symposium on Motivation (pp. 27–83). Lincoln, NE: University of Nebraska Press.
Zucker, R. A. (1995). Pathways to alcohol problems and alcoholism: A developmental account of the evidence for multiple alcoholisms and for contextual contributions to risk. In R. A. Zucker, G. M. Boyd, & J. Howard (Eds.), The development of alcohol problems: Exploring the biopsychosocial matrix of risk (NIAAA Research Monograph 26, pp. 255–289). Rockville, MD: Department of Health and Human Services.