3 years ago

Self-Competence and Depressive Symptom Trajectories during Adolescence

Christine McCauley Ohannessian, Anna Vannucci

Abstract

The purpose of this study was to examine the relationship between self-competence and subsequent depressive symptom trajectories, by gender, in a community sample of adolescents (N = 753; 53% female; 65% non-Hispanic White). Data were collected annually for three years beginning when adolescents were in the 10th and 11th grades (Age: M = 16.09, SD = 0.72 years). Adolescents provided self-reports of self-competence at baseline and depressive symptoms every year. In latent growth curve models examining the overall trajectory of depressive symptoms, higher global self-worth and self-competence in close friendships were significantly associated with greater decreases in depressive symptoms (ps < 0.05). In contrast, higher academic self-competence was associated with more attenuated decreases in depressive symptoms (p = 0.001). When examining subgroups of latent depressive symptom trajectories within the context of growth mixture modeling, higher self-competence in physical appearance was associated with a decreased likelihood of membership in trajectory classes characterized by high initial, then decreasing depressive symptoms or and low initial, then increasing depressive symptoms (ps < 0.01). Among girls, higher global self-worth and self-competence in close friendship and academic domains were associated with membership in a trajectory class distinguished by high stable depressive symptoms (ps < 0.01); these associations were not observed among boys (ps > 0.05). Findings suggest that the competence-based model of depression is valid and applicable during middle-to-late adolescence, and emphasize the importance of considering gender and individual differences in the developmental course of depressive symptoms to gain a more nuanced understanding of the role of self-competence in depressive symptom trajectories.

Publisher URL: https://link.springer.com/article/10.1007/s10802-017-0340-3

DOI: 10.1007/s10802-017-0340-3

You might also like
Discover & Discuss Important Research

Keeping up-to-date with research can feel impossible, with papers being published faster than you'll ever be able to read them. That's where Researcher comes in: we're simplifying discovery and making important discussions happen. With over 19,000 sources, including peer-reviewed journals, preprints, blogs, universities, podcasts and Live events across 10 research areas, you'll never miss what's important to you. It's like social media, but better. Oh, and we should mention - it's free.

  • Download from Google Play
  • Download from App Store
  • Download from AppInChina

Researcher displays publicly available abstracts and doesn’t host any full article content. If the content is open access, we will direct clicks from the abstracts to the publisher website and display the PDF copy on our platform. Clicks to view the full text will be directed to the publisher website, where only users with subscriptions or access through their institution are able to view the full article.