Date of Award
1-1-2014
Language
English
Document Type
Master's Thesis
Degree Name
Master of Arts (MA)
College/School/Department
Department of Psychology
Program
Psychology (Masters)
Content Description
1 online resource (iii, 75 pages) : illustrations.
Dissertation/Thesis Chair
Hazel M Prelow
Committee Members
Elana B Gordis
Keywords
adolescence, depression, family violence, latent class analysis, PTSD, Post-traumatic stress disorder in adolescence, Depression in adolescence, Loneliness in adolescence
Subject Categories
Clinical Psychology | Psychology
Abstract
This study examines how posttraumatic stress (PTS) and depressive symptoms co-occur during early adolescence. Data for participants in the present study were drawn from the National Survey of Child and Adolescent Well-Being. A latent profile analysis (LPA) was conducted on the data from 818 adolescents aged 11 to 14 who self-identified as Black, Latino, or White. A three-class solution was selected as an optimal fit for the data based on fit indices and ease of interpretation. The LPA indicated that PTS and depressive symptoms tended to co-occur in a dimensional manner, with the classes differing only in terms of the severity level of symptoms endorsed. No unique PTS or depression classes were supported. The three classes were thus named as minimal distress, moderate distress, and severe distress. Risk and protective factors associated with membership to each latent class were assessed using multinomial logistic regression. Gender and relational factors had the strongest associations with latent class membership. These results suggest that categorical measures of PTS and depression do not accurately represent how these constructs occur in early adolescence. In addition, several important factors are associated with severity of PTS and depressive symptoms and could be used to target interventions.
Recommended Citation
Wilson, Shawn A., "A latent profile analysis of posttraumatic stress and depressive symptoms in adolescents" (2014). Legacy Theses & Dissertations (2009 - 2024). 1310.
https://scholarsarchive.library.albany.edu/legacy-etd/1310