At-Risk Depressive Symptoms and Alcohol Use Trajectories in Adolescence: A Person-Centred Analysis of Co-Occurrence
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Long-term longitudinal studies that examine whether there are distinct trajectories of at-risk depressive symptoms and alcohol use across the high school years (e.g., high co-occurrence) are rare in normative samples of adolescent boys and girls; yet, this assessment is of critical importance for developing effective prevention and intervention strategies. Moreover, the role of self-regulation and novelty-seeking behavior in differentiating among distinct subgroups of adolescents is not clear. To address these gaps, the present study sought to identify subgroups of adolescent boys and girls that indicated at-risk trajectories across the high school years for both depressive symptoms and alcohol use, and examined the role of delay of gratification and novelty seeking at baseline in differentiating among the subgroups. Canadian adolescents (N = 4,412; 49 % female) were surveyed at four time points (grades 9, 10, 11, and 12). Parallel process latent class growth analyses revealed four distinct subgroups for both boys and girls, encompassing high co-occurrence, depressive symptoms only, alcohol use only, and low co-occurrence. Across gender, delay of gratification at baseline differentiated among the four subgroups, with the High Co-Occurrence Group group scoring the lowest and the Low Co-Occurrence Group the highest. Lower novelty-seeking scores at baseline were associated more with being in the Depressive Symptoms Only Group relative to the other groups, particularly the Alcohol Use Only Group for boys. Thus, delay of gratification and novelty seeking may be useful in identifying youth at risk for co-occurring depressive symptoms and alcohol use trajectories, as well as at-risk trajectories for only one of these behaviors.
KeywordsCo-occurrence Depressive symptoms Alcohol use Delay of gratification Novelty seeking Adolescence
Funding for this longitudinal project was provided by the Social Sciences and Humanities Research Council of Canada to Teena Willoughby.
T.W conceived of the study, participated in the design and coordination of the study, performed the statistical analyses, collected the data, and participated in the drafting of the manuscript; A.F participated in the design, performed the statistical analyses, and participated in the drafting of the manuscript. Both authors read and approved the final manuscript.
- Adlaf, E. M., Ivis, F. J., & Smart, R. G. (1997). Ontario student drug use survey, 1977–1997. Toronto, Ontario: Addiction Research Foundation.Google Scholar
- Block, J., & Block, J. H. (1980). The role of ego-control and ego-resiliency in the organization of behavior. In W. A. Collins (Ed.), Development of cognition, affect, and social relations: The Minnesota symposia on child psychology. NJ: Erlbaum.Google Scholar
- Cranford, J. A., Nolen-Hoeksema, S., & Zucker, R. A. (2011). Alcohol involvement as a function of co-occurring alcohol use disorders and major depressive episode: Evidence from the National Epidemiological Survey on Alcohol and Related Conditions. Drug and Alcohol Dependence, 117, 145–151. doi: 10.1016/j.drugalcdep.2011.01.011.CrossRefPubMedCentralPubMedGoogle 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. Alcoholism, Clinical and Experimental Research, 24, 1712–1723. doi: 10.1111/j.1530-0277.2000.tb01973.x.CrossRefPubMedGoogle Scholar
- Duncan, T. E., Duncan, S. C., Strycker, L. A., Li, F., & Alpert, A. (2006). An introduction to latent variable growth curve modeling: Concepts, issues, and applications (2nd ed.). NJ: Erlbaum.Google Scholar
- Eaton, W. W., Muntaner, C., Ybarra, M., Smith, C. B., & Tien, A. Y. (2004). Revision of the Center for Epidemiologic Studies Depression (CESD) scale. In M. Maruish (Ed.), The use of psychological testing for treatment planning and outcomes assessment. NJ: Erlbaum.Google Scholar
- Eisenberg, N., Cumberland, A., Spinrad, T. L., Fabes, R. A., Shephard, S. A., Reiser, M., et al. (2001). The relations of regulation and emotionality to children’s externalizing and internalizing problem behavior. Child Development, 72, 1112–1134. doi: 10.1111/1467-8624.00337.CrossRefPubMedGoogle Scholar
- Ernst, M., Luckenbaugh, D. A., Moolchan, E. T., Leff, M. K., Allen, R., Eshel, N., et al. (2006). Behavioral predictors of substance-use initiation in adolescence with and without attention deficity/hyperactivity disorder. Pediatrics, 117, 2030–2039. doi: 10.1542/peds.2005-0704.CrossRefPubMedGoogle Scholar
- Fleming, C. B., Mason, W. A., Mazza, J. J., Abbott, R. D., & Catalano, R. F. (2008). Latent growth modeling of the relationship between depressive symptoms and substance use during adolescence. Psychology of Addictive Behaviors, 22, 186–197. doi: 10.1037/0893-164X.22.2.186.CrossRefPubMedGoogle Scholar
- Forbes, E. E., Hariri, A. R., Martin, S. L., Silk, J. S., Moyles, D. L., Fisher, P. M., et al. (2009). Altered striatal activation predicting real-world positive affect in adolescent major depressive disorder. American Journal of Psychiatry, 166, 64–73. doi: 10.1176/appi.ajp.2008.07081336.CrossRefPubMedCentralPubMedGoogle Scholar
- Hooshmand, S., Willoughby, T., & Good, M. (2012). Does the direction of effects in the association between depressive symptoms and health-risk behaviors differ by behavior? A longitudinal study across the high school years. Journal of Adolescent Health, 50, 140–147. doi: 10.1016/j.jadohealth.2011.05.016.CrossRefPubMedGoogle Scholar
- Measelle, J. R., Stice, E., & Hogansen, J. M. (2006). Developmental trajectories of co- occurring depressive, eating, antisocial, and substance abuse problems in female adolescents. Journal of Abnormal Psychology, 115, 524–538. doi: 10.1037/0021-843X.115.3.524.CrossRefPubMedCentralPubMedGoogle Scholar
- Muthén, B. O. (2005). Retrieved from http://www.statmodel.com/discussion/messages/14/738.html?1130249370.
- Muthén, L. K., & Muthén, B. O. (1998–2012). Mplus user’s guide (7th ed.). Los Angeles, CA: Muthén & Muthén.Google Scholar
- Nagin, D. S. (2005). Group-based modelling of development. Cambridge: Harvard Press.Google Scholar
- Rothbart, M. K., & Bates, J. E. (2006). Temperament. In N. Eisenberg & W. Damon (Eds.), Handbook of child psychology: vol 3. Social, emotional, and personality development (6th ed., pp. 99–166). NY: Wiley.Google Scholar
- Ruchkin, V., Sukhodolsky, D. G., Vermeiren, R., Koposov, R. A., & Schwab-Stone, M. (2006). Depressive symptoms and associated psychopathology in urban adolescents: A cross-cultural study of 3 countries. The Journal of Nervous and Mental Disease, 194, 106–113. doi: 10.1097/01.nmd.0000198142.26754.18.CrossRefPubMedGoogle Scholar
- Smoski, M. J., Felder, J., Bizzell, J., Green, S. R., Ernst, M., Lynch, T. R., et al. (2009). fMRI of alterations in reward selection, anticipation, and feedback in major depressive disorder. Journal of Affective Disorders, 118, 69–78. doi: 10.1016/j.jad.2009.01.034.CrossRefPubMedCentralPubMedGoogle Scholar
- Statistics Canada. (2006). Population by ethnic origin [Online]. Available at http://www12.statcan.gc.ca/tables-tableaux/sum-som/l01/cst01/demo26a-eng.htm.
- Steinberg, L., Albert, L., Cauffman, E., Banich, M., Graham, S., & Woolard, J. (2008). Age differences in sensation seeking and impulsivity as indexed by behavior and self-report: Evidence for a dual systems model. Developmental Psychology, 44(6), 1764–1778. doi: 10.1037/a0012955.CrossRefPubMedGoogle Scholar
- Wilson, A. C., Lengua, L. J., Tininenko, J., Taylor, A., & Trancik, A. (2009). Physiological profiles during delay of gratification: Associations with emotionality, self-regulation, and adjustment problems. Journal of Applied Developmental Psychology, 30, 780–790. doi: 10.1016/j.appdev.2009.05.002.CrossRefPubMedCentralPubMedGoogle Scholar
- Windle, M., Spear, L. P., Fuligni, A. J., Angold, A., Brown, J. D., Pine, D., et al. (2008). Transitions into underage and problem drinking: Summary of developmental processes and mechanisms: Ages 10–15. Pediatrics, 121, S273–S289. doi: 10.1542/peds.2007-2243C.CrossRefPubMedCentralPubMedGoogle Scholar