Promoting and Protecting Mental Health: A Delphi Consensus Study for Actionable Public Mental Health Messages.

PURPOSE: Public health campaigns are still relatively rare in mental health. This paper aims to find consensus on the preventive self-management actions (i.e. "healthy behaviors") for common mental health problems (e.g. depression and anxiety) that should be recommended in mental health campaigns directed at the general public. APPROACH: A 3-round Delphi study. PARTICIPANTS: 23 international experts in mental health and 1447 members of the public, most of whom had lived experience of mental health problems. METHOD: The modified Delphi study combined quantitative and qualitative data collection: 1) online qualitative survey data collection thematically analyzed, 2) recommendations rated for consensus, 3) consensus items rated by public panel on a Likert scale. RESULTS: Expert consensus was reached on 15 behaviors that individuals can engage in to sustain mental health. Eight were rated as appropriate by more than half (50%) of the public panel, including: avoiding illicit drugs (80%, n = 1154), reducing debt (72%, n = 1043), improving sleep (69%, n = 1000), regulating mood (65%, n = 941), having things to look forward to (60%, n = 869). CONCLUSIONS: A series of healthy behaviors for the promotion and protection of mental health received expert and public consensus. To our knowledge, this is the first study to offer a set of actions for public health messaging for the prevention of poor mental health. Future research should focus on evaluating effectiveness of these actions in a universal primary prevention context.

Severity profiles of posttraumatic stress, depression, anxiety, and somatization symptoms in treatment seeking traumatized refugees.

BACKGROUND: Western countries are facing many challenges hosting refugees from several regions in the world. Many of them are severely traumatized and suffer from a variety of mental health symptoms, which complicates the identification and treatment of refugees at risk. This study examined subgroups based on a broad range of psychopathology, and several predictors, including trauma characteristics and gender. METHODS: Participants were 1147 treatment-seeking, traumatized refugees. Latent profile analysis was conducted to identify different subgroups based on levels of posttraumatic stress disorder (PTSD), depression, anxiety, and somatic symptoms. Multinomial logistic regression was used to identify predictors of subgroup membership. RESULTS: Three distinct subgroups were identified, reflecting Moderate (10.2%), Severe (43.0%), and Highly Severe (45.9%) symptom severity levels, respectively. Symptom severity of all psychopathology dimensions was distributed equally between the subgroups. Participants in the Severe and Highly Severe Symptoms subgroups reported more types of traumatic events compared to the Moderate subgroup. In particular, traumatic events associated with human right abuses, lack of human needs and separation from others predicted subgroup membership, as did gender. LIMITATIONS: The results are confined to treatment-seeking, traumatized refugee populations. CONCLUSIONS: Distinguishable symptom severity profiles of PTSD, depression, anxiety and somatic complaints could be identified in this large treatment-seeking refugee population, without qualitative differences in symptom distribution. Instead of focusing on specific mental disorders, classification based on overall symptom severity is of interest in severely traumatized patients. This knowledge will help to identify individuals at risk and to enhance existing treatment programs for specific patient groups.