Promotion of mental health in young adults via mobile phone app: study protocol of the ECoWeB (emotional competence for well-being in Young adults) cohort multiple randomised trials

This is the final version. Available on open access from BMC via the DOI in this recordAvailability of data and materials: Anonymised datasets arising from this trial will be made available after the primary outcomes are published to researchers and other groups via request to a data committee within the Consortium via the University of Exeter’s open access data system Open Research Exeter (ORE). ECoWeB partners will have access to the final trial dataset, commensurate with the grant Consortium Agreement. The results will additionally be updated on ClinicalTrials.gov Identifier: NCT04148508. The ECoWeB consortium plans to communicate trial results through peer-reviewed open access publications and direct reports to TSC, sponsor, and participants.BACKGROUND: Promoting well-being and preventing poor mental health in young people is a major global priority. Building emotional competence (EC) skills via a mobile app may be an effective, scalable and acceptable way to do this. However, few large-scale controlled trials have examined the efficacy of mobile apps in promoting mental health in young people; none have tailored the app to individual profiles. METHOD/DESIGN: The Emotional Competence for Well-Being in Young Adults cohort multiple randomised controlled trial (cmRCT) involves a longitudinal prospective cohort to examine well-being, mental health and EC in 16-22 year olds across 12 months. Within the cohort, eligible participants are entered to either the PREVENT trial (if selected EC scores at baseline within worst-performing quartile) or to the PROMOTE trial (if selected EC scores not within worst-performing quartile). In both trials, participants are randomised (i) to continue with usual practice, repeated assessments and a self-monitoring app; (ii) to additionally receive generic cognitive-behavioural therapy self-help in app; (iii) to additionally receive personalised EC self-help in app. In total, 2142 participants aged 16 to 22 years, with no current or past history of major depression, bipolar disorder or psychosis will be recruited across UK, Germany, Spain, and Belgium. Assessments take place at baseline (pre-randomisation), 1, 3 and 12 months post-randomisation. Primary endpoint and outcome for PREVENT is level of depression symptoms on the Patient Health Questionnaire-9 at 3 months; primary endpoint and outcome for PROMOTE is emotional well-being assessed on the Warwick-Edinburgh Mental Wellbeing Scale at 3 months. Depressive symptoms, anxiety, well-being, health-related quality of life, functioning and cost-effectiveness are secondary outcomes. Compliance, adverse events and potentially mediating variables will be carefully monitored. CONCLUSIONS: The trial aims to provide a better understanding of the causal role of learning EC skills using interventions delivered via mobile phone apps with respect to promoting well-being and preventing poor mental health in young people. This knowledge will be used to develop and disseminate innovative evidence-based, feasible, and effective Mobile-health public health strategies for preventing poor mental health and promoting well-being. TRIAL REGISTRATION: ClinicalTrials.gov ( www.clinicaltrials.org ). Number of identification: NCT04148508 November 2019.European Union Horizon 202

Affective Forecasting

When making decisions about their health and well-being, people often try to anticipate how happy or unhappy a potential outcome will make them. The greater the predicted emotional impact, the more effort and resources people devote to attaining a positive outcome or avoiding a negative one. Thus, predicting emotion, known as “affective forecasting,” plays a major role in decision making, and inaccurate predictions can lead to poor choices. This entry reviews when and why people show biases in affective forecasting, over- or underestimating the emotional impact of future events, with an emphasis on forecasts related to health. Understanding sources of accuracy and bias in affective forecasting can help healthcare professionals guide people as they confront choices about genetic testing, cancer screening, vaccination, end-of-life medical provisions, and other important health-related issues

Promoting social change – Assessing how Twitter was used to reduce drunk driving behaviors over New Year’s Eve.

A number of scholars have identified that social marketers find it difficult to develop engagement through social media. Others believe that there is a poor understanding of how organizations employ such platforms. This article addresses the gaps by assessing how Twitter was used in facilitating a reduction in drunk driving behaviors over New Year’s Eve. The study identified that social marketing organizations were poor at exploiting Twitter, but the general public was prolific in disseminating anti-drunk driving behaviors. It provides recommendations on how social media can be used to help marketing researchers, managers, and policymakers to work more collectively