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.

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.

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.

A recent scandal in the Netherlands painfully underscored that sexual harassment and abuse are unfortunately still happening around the world, even after decades of advocacy on this issue and five years of #MeToo. To make progress in prevention and treatment we argue that we should address sexual violence from a public health perspective. Fruthermore, looking back on the past year, the COVID-19 pandemic was the dominant and potentially traumatic stressor affecting large populations around the world.