Posttraumatic stress symptom severity and health service utilization in trauma-exposed parents.

2017 ◽  
Vol 36 (8) ◽  
pp. 779-786 ◽  
Author(s):  
Emma J. Thompson ◽  
Vicki A. Anderson ◽  
Stephen J. C. Hearps ◽  
Maria C. McCarthy ◽  
Cathrine Mihalopoulos ◽  
...  
Keyword(s):  
Health Service ◽  
Posttraumatic Stress ◽  
Service Utilization ◽  
Symptom Severity ◽  
Health Service Utilization ◽  
Posttraumatic Stress Symptom ◽  
Stress Symptom

Contamination Aversion and Posttraumatic Stress Symptom Severity Following Sexual Trauma

2014 ◽  
Vol 38 (4) ◽  
pp. 449-457 ◽  
Author(s):  
Thomas G. Adams ◽  
Christal L. Badour ◽  
Joshua M. Cisler ◽  
Matthew T. Feldner
Keyword(s):  
Posttraumatic Stress ◽  
Symptom Severity ◽  
Sexual Trauma ◽  
Posttraumatic Stress Symptom ◽  
Stress Symptom

Predicting Posttraumatic Stress Disorder Among Survivors of Recent Interpersonal Violence

2020 ◽  
pp. 088626052097819
Author(s):  
Matthew C. Morris ◽  
Francisco Sanchez-Sáez ◽  
Brooklynn Bailey ◽  
Natalie Hellman ◽  
Amber Williams ◽  
...  
Keyword(s):  
Machine Learning ◽  
Posttraumatic Stress Disorder ◽  
Posttraumatic Stress ◽  
Symptom Severity ◽  
Interpersonal Violence ◽  
Stress Disorder ◽  
Gradient Boosting ◽  
Targeted Prevention ◽  
Posttraumatic Stress Symptom ◽  
Stress Symptom

A substantial minority of women who experience interpersonal violence will develop posttraumatic stress disorder (PTSD). One critical challenge for preventing PTSD is predicting whose acute posttraumatic stress symptoms will worsen to a clinically significant degree. This 6-month longitudinal study adopted multilevel modeling and exploratory machine learning (ML) methods to predict PTSD onset in 58 young women, ages 18 to 30, who experienced an incident of physical and/or sexual assault in the three months prior to baseline assessment. Women completed baseline assessments of theory-driven cognitive and neurobiological predictors and interview-based measures of PTSD diagnostic status and symptom severity at 1-, 3-, and 6-month follow-ups. Higher levels of self-blame, generalized anxiety disorder severity, childhood trauma exposure, and impairment across multiple domains were associated with a pattern of high and stable posttraumatic stress symptom severity over time. Predictive performance for PTSD onset was similarly strong for a gradient boosting machine learning model including all predictors and a logistic regression model including only baseline posttraumatic stress symptom severity. The present findings provide directions for future work on PTSD prediction among interpersonal violence survivors that could enhance early risk detection and potentially inform targeted prevention programs.

Posttraumatic stress symptom severity predicts marijuana use coping motives among traumatic event-exposed marijuana users

2007 ◽  
Vol 20 (4) ◽  
pp. 577-586 ◽  
Author(s):  
Marcel O. Bonn-Miller ◽  
Anka A. Vujanovic ◽  
Matthew T. Feldner ◽  
Amit Bernstein ◽  
Michael J. Zvolensky
Keyword(s):  
Posttraumatic Stress ◽  
Symptom Severity ◽  
Traumatic Event ◽  
Marijuana Use ◽  
Posttraumatic Stress Symptom ◽  
Stress Symptom ◽  
Coping Motives
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