Adjustment to college and prediction of depression during post-secondary transition
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Many studies have reported an increase in mental health problems during post-secondary transition, often originating from high school years. The present study examined how depressive symptoms during the 2 years following the post-secondary transition could be predicted by, on the one hand, school performance, externalized and learning difficulties, and depressive symptoms before the post-secondary transition, and on the other hand, personal factors, family functioning, and adjustment to college after the transition. From a sample of 438 participants (M = 16.20, SD = 0.87) at time point 1, an integrated model was elaborated using structural equation modeling. The statistical analyses showed that the five constructs fit the data well. The path coefficients showed a negative relationship between externalized and learning problems as perceived by the teacher (ELPT) before the transition and academic performance (AP). Personal characteristics (PC) negatively predicted academic adjustment (AC) over time, whereas the path coefficients between the family factor (FF) and AC were not significant over time. ELPT and AP negatively predicted depression at time point 1. At time points 2 and 3, PC positively predicted depression, and depressive symptoms were positively related over time. The percentage of variance accounted for by the depressive symptoms increased over time.
KeywordsDepression School adjustment College students Post-secondary transition
Compliance with ethical standards
This study was approved by the ethics committee of research on humans of the University of Quebec in Montreal.
- American College Health Association. (2013). American College Health Association—National College Health Assessment II: reference group executive summary spring 2013. Hanover: American College Health Association.Google Scholar
- American College Health Association. (2016). American College Health Association - National College Health Assessment II: Reference Group Executive Summary Spring 2016. Hanover, MD: American College Health Association.Google Scholar
- Baker, R. W., & Siryk, B. (1989). Manual of the SACQ. Los Angeles: Western Psychological Services.Google Scholar
- Beardslee, W. R., Keller, M. B., Lavori, P. W., Staley, J. E., & Sacks, N. (1993). The impact of parental affective disorder on depression in offspring: a longitudinal follow-up in a non-referred sample. Journal of the American Academy of Child and Adolescent Psychiatry, 32, 723–730.CrossRefGoogle Scholar
- Beck, A. T. (1983). Cognitive therapy of depression: new perspectives. In P. J. Clayton & J. E. Barrett (Eds.), Treatment of depression: old controversies and new approaches (pp. 256–284). New York: Raven Press.Google Scholar
- Beck, A. T., Steer, R. A., & Brown, B. K. (1996). Beck Depression Inventory manual (2nd ed.). San Antonio: Psychological Corporation.Google Scholar
- Brown, T. A. (2006). Confirmatory factor analysis for applied research. New York: Guilford Press.Google Scholar
- Eisenberg, D., Golberstein, E., & Gollust, S. E. (2007). Help-Seeking and Access to Mental Health Care in a University Student Population. Medical Care, 45(7), 594–601.Google Scholar
- Enders, C. K. (2010). Applied missing data analysis. New York: Guilford Press.Google Scholar
- Fier, S. M., & Brzezinski, L. G. (2010). Facilitating the high school-to-college transition for students with psychiatric disabilities: information and strategies for school counselors. Journal of School Counseling, 8(10), 1–40.Google Scholar
- Gale, T. & Parker, S. (2014). Navigating change: a typology of student transition in higher education. Studies in Higher Education, 39, 734–753.Google Scholar
- Garson, G. D. (2006). Structural equation modeling. Retrieved from http://www2.chass.ncsu.edu/garson/pa765/structur.htm.
- Gulliver, A., Griffiths, K., & Christensen, H. (2010). Perceived barriers and facilitators to mental health help-seeking in young people: a systematic review. BMC psychiatry, 10(1), 113–122.Google Scholar
- Hurtado, S., Han, J. C., Saenz, V. B., Espinosa, L. L., Cabrera, N. L., & Cerna, O. S. (2007). Prediction transition and adjustment to college: biomedical and behavioral science aspirants’ and minority students’ first year of college. Research in Higher Education, 48, 841–887.Google Scholar
- Kahu, R. (2013) Framing student engagement in higher education. Studies in Higher Education, 38(5), 758–773.Google Scholar
- Lewinsohn, P. M., & Essau, C. A. (2002). Depression in adolescents. In I. H. Gotlib & C. L. Hammen (Eds.), Handbook of depression (pp. 541–559). New York: Guilford Press.Google Scholar
- MacKean, G. (2011). Mental health and well-being in post-secondary education settings. Canadian Association of College and University Student Services. Retrieved from http://www.cacuss.ca/current_projects_mental_health_report.htm.
- Marcotte, D. (2013). La dépression chez les adolescents: État des connaissances, famille, école et stratégies d’intervention. Québec: Les Presses de l’Université du Québec. 156 pages.Google Scholar
- Ministère de l’Éducation, du Loisir et du Sport (2008). L’éducation au Québec. Retrieved from http://www.mels.gouv.qc.ca/scolaire/educqc/systemescolaire/index.asp.
- Moos, R. H., & Moos, B. A. (1981). Manual for the family environment scale. Palo Alto, CA: Consulting Psychology Press.Google Scholar
- Muthén, L. K., & Muthén, B. O. (2011). Mplususer’s guide. New York: Author.Google Scholar
- Newton, S., Docter, S., Reddin, E., Merlin, T., & Hiller, J. (2010). Depression in adolescents and young adults: Evidence review. Adelaide University, School of Population Health and Clinical Practice. Adelaide Health Technology Assessment.Google Scholar
- Niemiec, C. P., Lynch, M. F., Vansteenkiste, M., Bernstein, J, Deci, E.L., & Ryan, R. M. (2006). The antecedents and consequences of autonomous self-regulation for college: a self-determination theory perspective on socialization. Journal of Adolescence, 29, 761–775.Google Scholar
- Offer, D., Ostrov, E., & Howard, K. I. (1981). The adolescent: a psychological self-portrait. Michigan University: Basic Books.Google Scholar
- Poirier, M., Marcotte, D., Joly, J., & Fortin, L. (2013). Program and implementation effects of a cognitive-behavioural intervention to prevent depression among adolescents at risk of school dropout exhibiting high depressive symptoms. Educational Research and Evaluation, 19(6), 561–577.CrossRefGoogle Scholar
- Price, E. L., McLeod, P. J., Gleich, S. S., & Hand, D. (2006). One-year prevalence rates of major depressive disorder in first-year university students. Canadian Journal of Counselling, 40(2), 68–81.Google Scholar
- Reynolds, C.R. & Kamphaus, R. W. (1998). The Behavior Assessment System for Children. Circle Pines, MN: American Guidance Services.Google Scholar
- Richard, D. (2011). Prevalence and clinical course of depression: a review. Clinical Psychology Review, 31(7), 1117–25.Google Scholar
- Robbins, R. J. (1994). An assessment of perceptions of parental autonomy support and control: child and parent correlates. (unpublished doctoral dissertation). United-States: University of Rochester.Google Scholar
- Rosenberg, M. (1989). Society and the adolescent self-image (2nd ed.). Princeton, N.J: Princeton University Press.Google Scholar
- Storch, E. A., Roberti, J. W., & Roth, D. A. (2004). Factor structure, concurrent validity, and internal consistency of the Beck Depression Inventory - Second Edition in a sample of college students. Depression and anxiety, 19(3), 187–189.Google Scholar
- Tinto, V. (1993). A theory of individual departure from institutions of higher education. In V. Tinto (Ed.), Leaving college: rethinking the causes and cures of student attrition (p. 84137). Chicago: University of Chicago Press.Google Scholar
- Weissman, A., & Beck, A. T. (1978). Development and validation of the dysfunctional attitude scale. In Paper presented at the meeting of the Association for Advancement of Behavior Therapy, Chicago, IL.Google Scholar
- Zivin, Kara, Eisenberg, D., Gollust, S. E., & Golberstein, E. (2009). Persistence of mental health problems and needs in a college student population. Journal of Affective Disorders, 117, 180–185.Google Scholar