Journal of Abnormal Child Psychology

, Volume 42, Issue 4, pp 539–550

Affective, Biological, and Cognitive Predictors of Depressive Symptom Trajectories in Adolescence


    • Department of Clinical PsychologySeattle Pacific University
  • Rachel H. Salk
    • Department of PsychologyUniversity of Wisconsin – Madison
  • Janet Shibley Hyde
    • Department of PsychologyUniversity of Wisconsin – Madison
  • Heather A. Priess-Groben
    • Simpson College
  • Jordan L. Simonson
    • Shriever Air Force BaseUnited States Air Force

DOI: 10.1007/s10802-013-9812-2

Cite this article as:
Mezulis, A., Salk, R.H., Hyde, J.S. et al. J Abnorm Child Psychol (2014) 42: 539. doi:10.1007/s10802-013-9812-2


Heterogeneity in the longitudinal course of depressive symptoms was examined using latent growth mixture modeling among a community sample of 382 U.S. youth from ages 11 to 18 (52.1 % female). Three latent trajectory classes were identified: Stable Low (51 %; displayed low depressive symptoms at all assessments), Increasing (37 %; reported low depressive symptoms at age 11, but then significantly higher depressive symptoms than the Stable Low class at ages 13, 15, and 18), and Early High (12 %; reported high early depressive symptoms at age 11, followed by symptoms that declined over time yet remained significantly higher than those of the Stable Low class at ages 13, 15, and 18). By age 15, rates of Major Depressive Disorder diagnoses among the Early High (25.0 %) and Increasing (20.4 %) classes were more than twice that observed among the Stable Low class (8.8 %). Affective (negative affectivity), biological (pubertal timing, sex) and cognitive (cognitive style, rumination) factors were examined as predictors of class membership. Results indicated general risk factors for both high-risk trajectories as well as specific risk factors unique to each trajectory. Being female and high infant negative affectivity predicted membership in the Increasing class. Early puberty, high infant negative affectivity for boys, and high rumination for girls predicted membership in the Early High class. Results highlight the importance of examining heterogeneity in depression trajectories in adolescence as well as simultaneously considering risk factors across multiple domains.


Depression Trajectories Temperament Puberty Cognitive risk factors Adolescence

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© Springer Science+Business Media New York 2013