A latent class analysis of PTSD symptoms among inner city primary care patients

• Type of Material: Article
• Authors: AKM Fazlur Rahman, University of Alabama Birmingham; Amita Manatunga, Emory University; Ying Guo, Emory University; Limin Peng, Emory University; Megan Warnock, Emory University; Kerry Ressler, Emory University; Tanja Jovanovic, Emory University
• Language: English
• Date: 2018-03-01
• Publisher: Elsevier
• Publication Version: Author Accepted Manuscript (After Peer Review)
• Copyright Statement: © 2017
• License: Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International
• Final Published Version (URL): http://dx.doi.org/10.1016/j.jpsychires.2017.11.015
• Title of Journal or Parent Work: Journal of Psychiatric Research
• ISSN: 0022-3956
• Volume: 98
• Start Page: 1
• End Page: 8
• Grant/Funding Information: This research is supported by the U.S. National Institutes of Health (NIH) grant 5R01 MH079448-06, MH098212, MH092576, and HHMI.
• Keywords: COMMUNITY; Psychiatry; VETERANS; Child abuse; Trauma exposure; DISSOCIATION; VIOLENCE; Depression; Comorbidity; Subclass of PTSD symptoms; VIETNAM; POSTTRAUMATIC-STRESS-DISORDER; TRAUMA; EPIDEMIOLOGY; DEPRESSION; Science & Technology; Life Sciences & Biomedicine; INVENTORY
• Research Categories: Psychology, Developmental; Health Sciences, Epidemiology

Abstract

Objectives Examine evidence for different subclasses of posttraumatic stress disorder (PTSD) symptoms in a sample of trauma exposed, low-income, predominantly African American men and women. Assess the relationship between PTSD subclasses with major depressive disorder (MDD) and types of trauma experienced. Method Latent class analysis (LCA) using a multivariate normal mixture model on the 17-item PTSD Symptom Scale (PSS) was used to identify latent subclasses of PTSD symptoms (N = 5063). Results LCA suggested four subclasses of PTSD symptoms: (1) High severity and comorbidity (n = 932, 92.2% current PTSD, 88.7% MDD, 82% both), characterized by high PTSD symptoms, depression, and comorbidity of PTSD and MDD; (2) Moderate severity (n = 1179, 56.5% current PTSD, 53.9% MDD, 34.5% both), which had high avoidance and hyper-vigilance symptoms compared to the other symptoms; (3) Low PTSD and high depression (n = 657, 12.8% current PTSD, 49.9% MDD, 8.8% both) which had high insomnia but otherwise low PTSD symptoms and high depression; and (4) Resilient (n = 2295, 2.0% current PTSD, 16.4% MDD, and 0.6% both) characterized by low mean scores on all PTSD symptoms and depression. Conclusions The results suggest avoidance and hyper-vigilance are important symptoms in PTSD development and insomnia may be an important indicator for depression. The combination of severe insomnia, avoidance, and hyper-vigilance may be key symptoms for comorbidity of PTSD and MDD. Future studies should focus on these symptoms to better target people at high risk for developing PTSD or MDD.