Objectives: Unlike the United States general population, veteran women - as opposed to veteran men - have greater smoking prevalence; yet, little is known regarding factors that influence smoking in veteran women. The purpose of this study was to begin examining the relationship between a psychological concept known as moral injury and demand for cigarettes among veteran women.
Methods: Veteran women who smoke (n = 44) were recruited for this cross-sectional study from Amazon MTurk, Reddit, and a veteran-serving non-profit organization in June-July 2023. Consenting participants received $2 for completing the cigarette purchase task (CPT), Fagerstrom Test for Nicotine Dependence (FTND), and the military version of the Moral Injury Symptom Scale (MISS-M-SF). We examined five CPT demand indices and calculated a modified exponential demand model stratified by moral injury severity status (i.e., probable vs. unlikely).
Results: Probable morally injured women exhibited significantly higher relative reinforcing value (RRV) for smoking than unlikely morally injured women (F = 9.16, p = 0.003). Average cigarette consumption at $0 (i.e., Q) was 48.56% higher (M = 22.24 vs. M = 13.55) in probable compared to unlikely morally injured women (p = 0.04, Hedge's g = 0.74). FTND scores were significantly correlated with P (i.e., demand elasticity point) and O (i.e., maximum expenditure) values in both populations (rs = 0.42-0.68, ps < 0.05).
Conclusions: We provide preliminary evidence of the relatively high RRV of smoking in morally injured veteran women. Continued research is needed to refine the characterization of this relationship.
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http://dx.doi.org/10.1016/j.ypmed.2024.108036 | DOI Listing |
PLoS One
January 2025
Interventional Psychiatry Program, St. Michael's Hospital, Toronto, Ontario, Canada.
Background: Posttraumatic stress disorder (PTSD) affects 3.9% of the general population. While massed cognitive processing therapy (CPT) has demonstrated efficacy in treating chronic PTSD, a substantial proportion of patients still continue to meet PTSD criteria after treatment, highlighting the need for novel therapeutic approaches.
View Article and Find Full Text PDFPLoS One
January 2025
Department of Medical Psychology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Background: Post-traumatic Stress Disorder (PTSD), Major Depressive Disorder (MDD), and Adjustment Disorder (AdjD) are highly prevalent among military personnel, often presenting diagnostic challenges due to overlapping symptoms and reliance on self-reporting. The amygdala, particularly the basolateral complex involved in fear-related memory formation and extinction recall, plays a crucial role in emotional processing. Abnormalities in these amygdala nuclei are implicated in PTSD and may distinguish it from other disorders like MDD and AdjD, where these mechanisms are less central.
View Article and Find Full Text PDFClin Psychopharmacol Neurosci
February 2025
Department of Psychiatry, Chonnam National University Medical School, Gwangju, Korea.
Objective: This study investigated how educational levels modify the relationship between the standard deviation of NN intervals (SDNN) of heart rate variability and the development of post-traumatic stress disorder (PTSD).
Methods: Participants with physical injuries were enrolled from a trauma center and monitored over two years. Initial assessments included SDNN and educational attainment, along with socio-demographic and clinical variables.
Introduction: Delirium is a common acute cognitive impairment characterised by confusion, disorientation and attention deficits, particularly prevalent in intensive care unit (ICU) settings. Given its significant impact on patients, caregivers and healthcare resources, preventing delirium in patients in the ICU is of paramount importance. This is the first randomised-controlled trial designed to evaluate the effects of a virtual reality-based sensory stimulation intervention on preventing delirium in ICU patients.
View Article and Find Full Text PDFBMJ Ment Health
January 2025
Department of Biomedical Data Sciences, Leiden University Medical Centre, Leiden, The Netherlands.
Background: Traumatic brain injury (TBI) is associated with an increased risk of major depressive disorder (MDD) and post-traumatic stress disorder (PTSD). We aimed to identify predictors and develop models for the prediction of depression and PTSD symptoms at 6 months post-TBI.
Methods: We analysed data from the Collaborative European NeuroTrauma Effectiveness Research in Traumatic Brain Injury study.
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