Child Posttraumatic Stress after Parental Cancer : Associations with Individual and Family Factors

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.

 

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Improving Web-Based Treatment Intake for Multiple Mental and Substance Use Disorders by Text Mining and Machine Learning : Algorithm Development and Validation

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.

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Lessons learned from conducting a study of emotions and positive personality change in Syrian origin young adults who have recently resettled in the Netherlands

Post-traumatic growth is a compelling idea, yet extant research has often employed retrospective reports of change, rather than examining change over time. Research on samples of people that are traditionally seen as hard-to-reach are rare within personality psychology.

 

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A first insight into the clinical manifestation of posttraumatic stress disorder in dementia : a systematic literature review

Posttraumatic stress disorder (PTSD) is a prevalent disorder worldwide and often co-occurs in dementia. Both have a major impact on disease burden and quality of life. PTSD may be difficult to recognize in dementia and a structured diagnostic method is lacking.

 

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Remodeling of the Cortical Structural Connectome in Posttraumatic Stress Disorder : Results From the ENIGMA-PGC Posttraumatic Stress Disorder Consortium

Background Posttraumatic stress disorder (PTSD) is accompanied by disrupted cortical neuroanatomy. We investigated alteration in covariance of structural networks associated with PTSD in regions that demonstrate the case-control differences in cortical thickness (CT) and surface area (SA).

 

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Threats and Interventions on Wellbeing in Asylum Seekers in the Netherlands : A Scoping Review

Background: Most asylum seekers experience stress, not only due to the reason for fleeing and their travel but also due to their compulsory stay in the asylum seeker center in the Netherlands and the asylum procedure. This often leads to self-medication and addiction which causes lower self-esteem and lower quality of life. Adverse life events, forced migration, and prolonged asylum procedures, in addition to the complexity of the acculturation process, can all contribute to higher levels of psychopathology.

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Social Functioning in Individuals Affected by Childhood Maltreatment : Establishing a Research Agenda to Inform Interventions

Childhood maltreatment (CM) is linked to impairments in various domains of social functioning. Here, we argue that it is critical to identify factors that underlie impaired social functioning as well as processes that mediate the beneficial health effects of positive relationships in individuals exposed to CM.

 

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Scalable psychological interventions for Syrian refugees in Europe and the Middle East : STRENGTHS study protocol for a prospective individual participant data meta- analysis

Introduction

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Veterans PTSD Workingdog Research (VPWR) : The interaction between service dogs and veterans/first aid responders with Posttraumatic Stress Disorder (PTSD)

Dutch title: Veteranen PTSS Werkhonden Onderzoek (VPWR) De interactie tussen hulphonden en veteranen/eerstehulpverleners met Posttraumatische Stress Stoornis (PTSS)

 

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Forecasting individual risk for long-term Posttraumatic Stress Disorder in emergency medical settings using biomedical data : A machine learning multicenter cohort study

The necessary requirement of a traumatic event preceding the development of Posttraumatic Stress Disorder, theoretically allows for administering preventive and early interventions in the early aftermath of such events. Machine learning models including biomedical data to forecast PTSD outcome after trauma are highly promising for detection of individuals most in need of such interventions.

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