A Distinction Without a Difference? A Multi-Method Approach to Understanding PTSD and Depression Symptom Overlap Among Disaster-Exposed Adolescents
Among adolescents exposed to trauma, posttraumatic stress disorder (PTSD) and major depressive disorder (MDD) commonly co-occur. Despite the prevalence of comorbidity, the question of how PTSD and MDD are related and appropriate conceptual models for understanding their linkage in adolescence remain...
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Published in | Journal of abnormal child psychology Vol. 51; no. 7; pp. 1021 - 1035 |
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Main Authors | , , , , , , |
Format | Journal Article |
Language | English |
Published |
New York
Springer US
01.07.2023
Springer Nature B.V |
Subjects | |
Online Access | Get full text |
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Summary: | Among adolescents exposed to trauma, posttraumatic stress disorder (PTSD) and major depressive disorder (MDD) commonly co-occur. Despite the prevalence of comorbidity, the question of how PTSD and MDD are related and appropriate conceptual models for understanding their linkage in adolescence remains unclear. This study applies a multi-methodological approach to advance conceptual and theoretical understanding of the overlap between PTSD and MDD diagnoses/symptoms. We tested three methodological approaches with three distinct theoretical underpinnings on the structure of each disorder proposed in the literature: confirmatory factor analysis (CFA) with dimensional constructs, latent class analysis (LCA) with person-based categorical constructs, and network analysis with symptom-to-symptom associations. Across the three different analytical approaches, there was a significant overlap between PTSD and MDD. Overall, there was no compelling evidence for distinct boundaries between disorders among trauma-exposed adolescents. Instead, we found considerable evidence that the typical latent-construct-based conceptualizations, whether categorical or dimensional, may need revision. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 2730-7166 2730-7174 |
DOI: | 10.1007/s10802-023-01042-3 |