ARQ National Psychotrauma Centre

The Traumatic Grief Inventory Self-Report (TGI-SR), which aims to assess both Persistent Complex Bereavement Disorder and Prolonged Grief Disorder, has been validated in several languages. This study sought to validate the French-Canadian version. We conducted an online survey exploring the impact of the COVID-19 pandemic on grief. With data from 728 participants, the scale demonstrated high internal consistency, correlated significantly with three other scales known to measure similar concepts, and distinguished between groups known to be different.

Telomeres are short tandem repeats of “TTAGGG” that protect the chromosome ends from deterioration or fusion of chromosomes. Their repeat length shortens with cell division acting as a biomarker of cellular aging. Traumatic stress events during adulthood or childhood have been associated with posttraumatic stress disorder (PTSD) and short leukocyte telomere length (LTL).

Epigenetic factors modify the effects of environmental factors on biological outcomes. Identification of epigenetic changes that associate with PTSD is therefore a crucial step in deciphering mechanisms of risk and resilience. In this study, our goal is to identify epigenetic signatures associated with PTSD symptom severity (PTSS) and changes in PTSS over time, using whole blood DNA methylation (DNAm) data (MethylationEPIC BeadChip) of military personnel prior to and following combat deployment.

Due to its novelty and lack of empirical study it remains unclear if a service dog truly mitigates the burden of post-traumatic stress disorder (PTSD) symptoms. To cross sectionally investigate the effect of service dogs on veterans and first aid responders with PTSD, we studied subjective and physiological parameters in 65 individuals divided over four groups. These groups were: veterans and first aid responders with PTSD and a service dog (n = 20), with PTSD and a companion dog (n = 10), with PTSD without a dog (n = 12) and a group without PTSD (n = 23).

Background: Patients with severe mental illness with repeated interpersonal trauma and post-traumatic stress disorder (PTSD) have a negative illness progression. Traumas are often not treated because of their vulnerability. Narrative exposure therapy (NET) is an effective trauma therapy. It is unknown whether NET is effective and tolerable in these patients receiving community mental healthcare.

The death of a child is a devastating experience for most parents. Consequently, bereaved parents are at risk to develop physical and mental health problems, including prolonged grief disorder. Nevertheless, there is a lack of evaluated psychosocial interventions for bereaved parents. The primary aim of this study was to examine the feasibility of the My Grief app for bereaved parents. The secondary aim was to evaluate the potential reduction of symptoms of prolonged grief, depression and post-traumatic stress, and cognitive-behavioral processes proposed to prolong grief reactions.

Background: The COVID-19 pandemic has put various restrictions on grief rituals. Literature suggests that the restrictions on funerals and grief rituals may increase the chance of developing symptoms of prolonged grief (PG). In this study, we explored the possible impact of the pandemic on aspects of the funeral and grief rituals and examined their relationship with PG symptoms.

Background: As provisions of mental healthcare services to military and veteran populations increases the risk to service providers developing secondary traumatic stress (STS), efforts areneeded to examine the impact of delivering novel interventions which may include 3MDR. As avirtual-reality supported intervention, 3MDR exposes the patient, therapist and operator tographic and sensory stimuli (i.e. narratives, imagery, smells, and music) in the course of the intervention.

Objective This study aimed to examine the severity of posttraumatic stress disorder (PTSD) symptoms in children of parents with cancer and to identify individual and family factors associated with these symptoms.

Background:
Text mining and machine learning are increasingly used in mental health care practice and research, potentially saving time and effort in the diagnosis and monitoring of patients. Previous studies showed that mental disorders can be detected based on text, but they focused on screening for a single predefined disorder instead of multiple disorders simultaneously.