Posttraumatic stress disorder symptom trajectories in a 16-month COVID-19 pandemic period

Autor: Teresa Lopez-Castro, Santiago Papini, Alexandria Bauer, Margaret Swarbrick, Lynn K. Paul, Marie-Christine Nizzi, Damian Alexander Stanley, Denise Hien
Rok vydání: 2022
DOI: 10.31234/osf.io/wpjgm
Popis: In the aftermath of mass trauma, posttraumatic stress disorder (PTSD) symptoms follow prototypical trajectories of resilience, recovery, or chronic distress. The coronavirus disease 2019 (COVID-19) pandemic represented an unheralded opportunity to better understand heterogeneous trajectories of PTSD symptoms across a prolonged period of social disruption and stress. We tracked the PTSD symptoms of trauma-exposed individuals in the U.S., sought to identify population-based variability in PTSD symptom trajectories, and understand what, if any, early pandemic experiences would predict their membership in one trajectory over others. As part of a large-scale longitudinal study of U.S. residents during the pandemic, participants who reported at least one potentially traumatic event in their lifetime (N = 1206) at Wave 1 (April 2020) were included in the current study. PTSD symptoms were assessed with the PTSD Checklist for DSM-5 at four time points extending to July 2021. Latent growth mixture modeling was used to identify heterogeneous symptom trajectories. Trajectory membership was regressed on baseline demographics and experiences from the early stage of the pandemic as measured by the Epidemic-Pandemic Impacts Inventory. Four trajectories (Resilient [73%], Recurring [13.3%], Recovering [8.3%], and Chronic [5.5%] were identified. Age, trauma load, and early pandemic experiences (emotional/physical health problems and positive changes) were each significant predictors of trajectory membership. Predictors primarily differentiated the Resilient from each of the other three trajectories. Distinct PTSD symptom trajectories during the COVID-19 pandemic point to the need for targeted efforts helping those at most risk for ongoing distress.
Databáze: OpenAIRE