Recommendations for a better understanding of sex and gender in neuroscience of mental health

There are prominent sex/gender differences in the prevalence, expression and lifespan course of mental health and neurodiverse conditions. Yet the underlying sex and gender related mechanisms and their interactions are still not fully understood. This lack of knowledge has harmful consequences for those suffering from mental health problems. Hence, we set up a co-creation session in a one week workshop with a multidisciplinary team of 25 researchers, clinicians and policy makers, to identify the main barriers in sex and gender research in neuroscience of mental health. Based on this work, we here provide recommendations for methodologies, translational research and stakeholder involvement. These include guidelines for recording, reporting, analysis beyond binary groups, and open science. Improved understanding of sex and gender related mechanisms in neuroscience may benefit public health as this is an important step towards precision medicine and may function as an archetype for studying diversity

Emotional experiences and psychological well-being in 51 countries during the COVID-19 pandemic

The COVID-19 pandemic presents challenges to psychological well-being, but how can we predict when people suffer or cope during sustained stress? Here, we test the prediction that specific types of momentary emotional experiences are differently linked to psychological well-being during the pandemic. Study 1 used survey data collected from 24,221 participants in 51 countries during the COVID-19 outbreak. We show that, across countries, wellbeing is linked to individuals’ recent emotional experiences, including calm, hope, anxiety, loneliness, and sadness. Consistent results are found in two age, sex, and ethnicity-representative samples in the United Kingdom (n = 971) and the United States (n = 961) with preregistered analyses (Study 2). A prospective 30-day daily diary study conducted in the United Kingdom (n = 110) confirms the key role of these five emotions and demonstrates that emotional experiences precede changes in well-being (Study 3). Our findings highlight differential relationships between specific types of momentary emotional experiences and well-being and point to the cultivation of calm and hope as candidate routes for well-being interventions during periods of sustained stress

Emotional experiences and psychological well-being in 51 countries during the covid-19 pandemic

The COVID-19 pandemic presents challenges to psychological well-being, but how can we predict when people suffer or cope during sustained stress? Here, we test the prediction that specific types of momentary emotional experiences are differently linked to psychological well-being during the pandemic. Study 1 used survey data collected from 24,221 participants in 51 countries during the COVID-19 outbreak. We show that, across countries, well-being is linked to individuals’ recent emotional experiences, including calm, hope, anxiety, loneliness, and sadness. Consistent results are found in two age, sex, and ethnicity-representative samples in the United Kingdom (n = 971) and the United States (n = 961) with preregistered analyses (Study 2). A prospective 30-day daily diary study conducted in the United Kingdom (n = 110) confirms the key role of these five emotions and demonstrates that emotional experiences precede changes in well-being (Study 3). Our findings highlight differential relationships between specific types of momentary emotional experiences and well-being and point to the cultivation of calm and hope as candidate routes for well-being interventions during periods of sustained stress

Connected Despite Lockdown: The Role of Social Interactions and Social Media Use in Wellbeing

Humans are social beings, but during the COVID-19 pandemic, people around the world are periodically in lockdown and are required to try to physically distance themselves from others. The resultant limitation of face-to-face interactions presents a challenge to wellbeing. During periods of lockdown, people can, however, still connect to others via technology, but it is unknown whether such interactions offer benefits comparable to face-to-face interactions. In the present study, we examined how different ways of interacting with others impacted wellbeing during a period of lockdown in the United Kingdom. In a 30-day diary study conducted in April-June 2020, 110 adults reported the time they spent daily on face-to-face interactions and technology-mediated communication (video, phone, text) with different interaction partners. They also indicated the time they spent on active and passive social media use and their end-of-day wellbeing. Multilevel regressions indicated that more face-to-face interactions both within and outside of one’s household positively predicted wellbeing, while technology-mediated communication had less consistent positive effects. Additionally, more active and less passive social media use predicted better wellbeing. These results highlight the complexity of benefits of different kinds of social interactions during lockdown in the COVID-19 pandemic and point to the importance of taking into account communication channels, interaction partners, and how people use social media when studying the effects of connecting to others

Building an early warning system for depression: rationale, objectives, and methods of the WARN-D study

Depression is common, debilitating, often chronic, and affects young people disproportionately. Given that only 50% of patients improve under initial treatment, experts agree that prevention is the most effective way to change depression’s global disease burden. The biggest barrier to successful prevention is to identify those at risk for depression in the near future. To close this gap, this protocol paper introduces the WARN-D study, our effort to build a personalized early warning system for depression. To develop the system, we follow around 2000 students over 2 years. Stage 1 comprises an extensive baseline assessment in which we collect a broad set of predictors for depression. Stage 2 lasts 3 months and zooms into participants’ daily experiences that may predict depression; we use smartwatches to collect digital phenotype data such as sleep and activity, and we use a smartphone app to query participants about their experiences 4 times a day and once every Sunday. In Stage 3, we follow participants for 21 months, assessing transdiagnostic outcomes (including stress, functional impairment, anxiety, and depression) as well as additional predictors for future depression every 3 months. Collected data will be utilized to build a personalized prediction model for depression onset. Overall, WARN-D will function similar to a weather forecast, with the core difference that one can only run or seek shelter from a thunderstorm, while depression may be successfully prevented before it occurs

WARN-D project hub

This is the project hub for the WARN-D project on building a personalized early warning system for depression (www.WARN-D.com)

01_WARN-D Protocol Paper

Protocol paper for WARN-D study (www.WARN-D.com)