Long-Term Trajectories of Posttraumatic Stress Disorder Symptoms: A 20-Year Longitudinal Study of World Trade Center Responders
Mann, F. D.; Waszczuk, M. A.; Clouston, S. A. P.; Feltman, S.; Ruggero, C. J.; Marx, B. P.; Schwartz, J. E.; Bromet, E. J.; Luft, B. J.; Kotov, R.
Show abstract
ObjectiveThe present study examined the 20-year course of posttraumatic stress disorder (PTSD) in World Trade Center (WTC) responders to address four questions: (1) How stable are symptoms of PTSD? (2) What is the average symptom trajectory? (3) How much do responders differ from the average trend? (4) How quickly do PTSD symptoms improve or worsen? MethodsData include 81,298 observations from n = 12,822 responders, spanning from July 2002 to December 2022. Fourteen percent meet PTSD criteria. PTSD symptoms were measured using the PCL-17. Retest correlations were calculated to estimate stability, growth curve models to estimate individual trajectories, and Kaplan-Meier curves to estimate the rate of clinically significant change. ResultsRetest correlations were high overall (range =.49, .84), lower in PTSD cases (range =.21, .78), and decreased as a function of time between assessments. The best-fitting growth model represented trajectories continuously rather than multiple classes. Symptom burden peaked in 2011 and declined modestly by 2022 (Cohens d = -0.28 and -0.59 in all responders and PTSD cases, respectively). Median time before clinically significant improvement in responders with PTSD was 8.88 years (95% CI = 8.01, 9.79). ConclusionsIn the longest and largest study of PTSD symptoms tracked continuously since exposure, illness course was characterized to find that, while symptoms were highly stable in the short term, symptoms changed significantly over two decades. Most responders experienced clinical improvement after nine years, but 10% had poor course and should be the focus of public health efforts.
Matching journals
The top 6 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Neuroimaging correlates and predictors of response to repeated-dose intravenous ketamine in PTSD 94%
- The association between blast exposure and transdiagnostic health symptoms on systemic inflammation 93%
- Dissecting the association of C-reactive protein levels with PTSD, traumatic events, and social support 92%
Similar papers in this journal
- Differential Roles of Positive and Negative Valence Systems in the Development of Post-Traumatic Stress Psychopathology 94%
- Structural covariance of early visual cortex is negatively associated with PTSD symptoms: A Mega-Analysis from the ENIGMA PTSD workgroup 94%
- Intrinsic functional connectivity of right dorsolateral prefrontal cortex and hippocampus subregions relates to emotional and sensory-perceptual properties of intrusive trauma memories 92%
Similar papers in this journal
- Altered gene expression and PTSD symptom dimensions in World Trade Center responders 94%
- Towards Scalable Biomarker Discovery in Posttraumatic Stress Disorder: Triangulating Genomic and Phenotypic Evidence from a Health System Biobank 93%
- Spatiotemporal dynamics of hippocampal-cortical networks underlying the unique phenomenological properties of trauma-related intrusive memories 93%
Similar papers in this journal
- Neurostructural associations with traumatic experiences during child- and adulthood 94%
- Potential Neurocognitive Biomarkers for Post Traumatic Stress Disorder (PTSD) Severity in Recent Trauma Survivors 93%
- Stress-induced change in salience network coupling prospectively predicts trauma-related symptoms 93%
Similar papers in this journal
- Long-term Trajectories of Depressive Symptoms in Deployed Military Personnel: A 10-year prospective study 94%
- Screening for Post-Traumatic Stress Disorder following Childbirth using the Peritraumatic Distress Inventory 94%
- Which traits predict elevated distress during the Covid-19 pandemic? Results from a large, longitudinal cohort study with psychiatric patients and healthy controls 92%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.