Predictors of remission from PTSD symptoms after sexual and non-sexual trauma in the community: A mediated survival-analytic approach

Müller, Mario; Ajdacic-Gross, Vladeta; Rodgers, Stephanie; Kleim, Birgit; Seifritz, Erich; Vetter, Stefan; Egger, Stephan; Rössler, Wulf; Castelao, Enrique; Preisig, Martin; Vandeleur, Caroline L.

doi:10.1016/j.psychres.2017.11.068

Cited by 25 publications

(24 citation statements)

References 63 publications

(78 reference statements)

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“…With Hubei being the epi-affected area at that time, it is understandable that local residents may have had more severe traumatic experiences, leading to more severe PTSS. Many previous studies also indicated that the severity of trauma was an important predictor of PTSS ( 45 , 46 ). In model 2, the main effects of being currently in Hubei and a high-risk public were significant.…”

Section: Discussionmentioning

confidence: 82%

Is Higher Subjective Fear Predictive of Post-Traumatic Stress Symptoms in a Sample of the Chinese General Public?

Guo

Liu²,

Xing

et al. 2021

Front. Psychiatry

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Background: COVID-19 has taken a huge toll on medical resources and the economy and will inevitably have an impact on public mental health. Post-traumatic stress disorder (PTSD), as the most common mental illness after an epidemic, must be seriously addressed. This study aimed to investigate the subjective fear of the Chinese general public during COVID-19 and to explore how it affected the development of PTSD.Methods: An online questionnaire survey was conducted among 1,009 people from January 30 to February 14, 2020 (about 1 month after the COVID-19 outbreak). The subjective fear was measured by a self-reported single-choice question. Four items from the Pittsburgh Sleep Quality Index (PSQI) were selected to measure the subjects' sleep quality. Their post-traumatic stress symptoms (PTSS) were measured by the PTSD Checklist for DSM-5 (PCL-5). Pearson correlation, hierarchical multivariate regression analysis, multiple mediator model, and bootstrapping were used in statistical analyses.Results: Different people showed different levels of subjective fear in response to the outbreak. There was a significant positive correlation between subjective fear and the total score of PCL-5 (R = 0.513, P < 0.01), meaning that the higher the degree of subjective fear, the more severe the symptoms of post-traumatic stress are. Subjective fear was an important predictor of PTSS, accounting for 24.3% of the variance. The total effect of subjective fear on PCL-5 scores was significant (total effect = 7.426, SE = 0.405, 95% CI = 6.631–8.221). The total indirect effect of subjective fear on PCL-5 scores through sleep quality was also significant (total indirect effect = 1.945, SE = 0.258, 95% CI = 1.436–2.470).Conclusions: Subjective fear has an important predictive effect on PTSS. In addition to the direct effect, our findings firstly demonstrate the mediating role of sleep quality in the relationship between subjective fear and PTSS.

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Section: Discussionmentioning

confidence: 82%

Is Higher Subjective Fear Predictive of Post-Traumatic Stress Symptoms in a Sample of the Chinese General Public?

Guo

Liu²,

Xing

et al. 2021

Front. Psychiatry

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“…Previous survival methods were conducted in PTSD populations mostly using single sampling and only demographic and clinical variables. For example, Müller et al. (2018) implemented a survival analytic approach from a lifetime perspective, to determine whether the expected duration of time until PTSD remission was related to a specific type of trauma, and to identify mediators of PTSD remission or persistence.…”

Section: Discussionmentioning

confidence: 99%

Deep learning model of fMRI connectivity predicts PTSD symptom trajectories in recent trauma survivors

et al. 2021

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Highlights We propose a novel end-to-end neural network that employs resting-state and task-based functional MRI (fMRI) datasets, obtained one month after trauma exposure, to predict PTSD one, six and 14-months after the exposure. The method utilizes connectivity maps extracted from pairs of brain regions which are subsequently updated by applying the algorithmic technique of pairwise attention. The proposed deep learning method predicts PTSD status, PTSD symptom clusters and survival analysis within the prospective design. We demonstrate a significant improvement in performance on all the datasets and experiments in comparison to other relevant analytical techniques. Pairwise association analysis reveals several significant functional connectivity patterns, in line with previous PTSD neuroimaging literature.

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“…Similarly, Kelley et al and Smith et al showed that PTSD following a sexual trauma was associated with a higher symptom severity 7,20 . On the other hand, Müller et al concluded that remission took more time and effort in PTSD patients with a history of sexual trauma 23 . In Turkey, the study by Çoban et al also shows that PTSD related to sexual trauma displayed more severe symptoms 10 .…”

Section: Discussionmentioning

confidence: 99%

The effect of trauma type on the severity of Post-Traumatic Stress Disorder (PTSD) symptoms

Kul¹,

Gündoğmuş²

2020

Arch Clin Psychiatry

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Objective: The high prevalence of trauma exposure calls for detailed research on how trauma type affects the development of Post-Traumatic Stress Disorder (PTSD). Therefore, the aim of our study was to investigate the effects of the type of trauma on the severity of symptoms, anxiety, depression, and dissociative experiences in the PTSD patient population. Method: The sample of the study consists of 80 volunteer PTSD patients (20 sexual trauma, 20 work accidents, 20 traffic accidents and 20 combat related trauma). Once the severity of symptoms was determined in all subjects by the Clinician-Administered PTSD Scale (CAPS), Beck Depression Inventory, Beck Anxiety Inventory and Dissociative Experiences Scale (DES) were applied. Results: A statistically significant difference were found between trauma types with regard to age, time without treatment, and the total and subscale scores obtained in DES and CAPS. It was found that in the group that has PTSD diagnosis related to sexual trauma, the length of the time without treatment, DES and CAPS scores. Conclusion: The study we conducted showed that PTSD continued more severe and resistant after a sexual trauma. Moreover, specific type of trauma was significant in PTSD patients.

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Predictors of remission from PTSD symptoms after sexual and non-sexual trauma in the community: A mediated survival-analytic approach

Cited by 25 publications

References 63 publications

Is Higher Subjective Fear Predictive of Post-Traumatic Stress Symptoms in a Sample of the Chinese General Public?

Is Higher Subjective Fear Predictive of Post-Traumatic Stress Symptoms in a Sample of the Chinese General Public?

Deep learning model of fMRI connectivity predicts PTSD symptom trajectories in recent trauma survivors

The effect of trauma type on the severity of Post-Traumatic Stress Disorder (PTSD) symptoms

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