Eleven Vietnam veterans with war-related posttraumatic stress disorder (PTSD) were randomly assigned to 10 sessions of either virtual reality exposure (VRE) therapy within a computer-generated virtual Vietnam environment or present-centered therapy (PCT) that avoided traumatic content and utilized a problem-solving approach. Participants were assessed at pretreatment, posttreatment, and 6 months posttreatment by an independent assessor blind to treatment condition. Nine participants completed treatment with one dropout per condition. No significant differences emerged between treatments, likely due to insufficient power. Although comparison of mean changes in PTSD symptoms for the VRE and PCT conditions yielded a moderate effect size (d = 0.56) in favor of VRE at 6 months posttreatment, changes in PTSD scores were more variable, and therefore less reliable, within the VRE condition. The utility of VRE with older veterans with PTSD is discussed.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1089/cyber.2009.0239 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
The impact of model eyesight and social reward on automatic imitation in virtual reality.
J Exp Psychol Hum Percept Perform
January 2025
Department of Experimental Clinical and Health Psychology, Ghent University.
Motivational theories of imitation state that we imitate because this led to positive social consequences in the past. Because movement imitation typically only leads to these consequences when perceived by the imitated person, it should increase when the interaction partner sees the imitator. Current evidence for this hypothesis is mixed, potentially due to the low ecological validity in previous studies.
View Article and Find Full Text PDFDigital therapeutics as a new weapon against diseases: focus on the current European legislation and possible therapeutic strategies.
Expert Rev Med Devices
January 2025
Italian Society of Hospital Pharmacy (SIFO), SIFO Secretariat of the Lombardy Region, Milan, Italy.
Introduction: Digital therapeutics (DTx) are an emerging phenomenon within the scientific landscape which is attracting considerable international interest. This review aimed to provide an overview of the definition and classification of DTx, focusing on the contribution that DTx may provide in the treatment of a lot of diseases, compared with pharmacological treatments and highlighting it strengthens and weaknesses into the European regulatory landscape.
Areas Covered: They are software-generated therapeutic interventions directly to patients useful to prevent, manage or treat diseases.
Effect of Physical Exercise on Telomere Length: Umbrella Review and Meta-Analysis.
JMIR Aging
January 2025
Faculty of Medicine, Department of Statistics, University of Salamanca, Salamanca, Spain.
Background: Telomere length (TL) is a marker of cellular health and aging. Physical exercise has been associated with longer telomeres and, therefore, healthier aging. However, results supporting such effects vary across studies.
View Article and Find Full Text PDFInfluence of alexithymia severity in the healthy population on the susceptibility to false interoceptive feedback.
Front Psychol
January 2025
Department of Physical Therapy, Niigata University of Health and Welfare, Niigata, Japan.
Alexithymia is a psychological trait characterized by difficulty expressing emotions. Previous studies reported that individuals with higher alexithymia have a decreased sense of interoception, which is the sense of monitoring and controlling internal organs. Thus, we hypothesized that internal organ activity (cardiac activities in the present study) was easily affected by false feedback in individuals with severe alexithymia.
View Article and Find Full Text PDFLarge Language Models in Healthcare: A Bibliometric Analysis and Examination of Research Trends.
J Multidiscip Healthc
January 2025
Department of Computer Engineering, Afyon Kocatepe University, Faculty of Engineering, Afyonkarahisar, Turkey.
Background: The integration of large language models (LLMs) in healthcare has generated significant interest due to their potential to improve diagnostic accuracy, personalization of treatment, and patient care efficiency.
Objective: This study aims to conduct a comprehensive bibliometric analysis to identify current research trends, main themes and future directions regarding applications in the healthcare sector.
Methods: A systematic scan of publications until 08.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!