Numerous reviews and meta-analyses have indicated the enormous potential of technology to improve the appeal, effectiveness, cost, and reach of mental health interventions. However, the promise of digital mental health interventions for youth has not yet been realized. Significant challenges have been repeatedly identified, including engagement, fidelity, and the lack of personalization. We introduce the main tenets of design thinking and explain how they can specifically address these challenges, with an entirely new toolbox of mindsets and practices. In addition, we provide examples of a new wave of digital interventions to demonstrate the applicability of design thinking to a wide range of intervention goals. In the future, it will be critical for scientists and clinicians to implement their scientific standards, methods, and review outlets to evaluate the contribution of design thinking to the next iteration of digital mental health interventions for youth.

We are in the midst of a global transition in which digital "screens" are no longer simply entertainment devices and distractions; rather, adolescents are currently living in a hybrid reality that links digital spaces to offline contexts. Yet, psychological scientists studying the mental health impact of digital experiences largely focus on correlations with "screen time," leading to oversimplified and atheoretical conclusions. We propose an alternative, functional approach to studying adolescent mental health in the digital age, one that examines why and how digital media affect adolescent development. Specifically, we suggest that understanding identity development-the core developmental task of adolescence-can help pinpoint the digital experiences that contribute to healthy versus problematic mental health outcomes. We have four objectives: (1) integrate principles from clinical and personality psychology with developmental theory to present a theoretical framework for investigating narrative identity; (2) show how this framework provides a useful lens for evaluating the impact of digital media on adolescents; (3) suggest a set of novel hypotheses that specify what kinds of digital contexts and experiences lead to healthy versus problematic mental health outcomes; and (4) propose a detailed research agenda that tests these hypotheses.

Adolescent anxiety is debilitating, the most frequently diagnosed adolescent mental health problem, and leads to substantial long-term problems. A randomized controlled trial (n = 138) was conducted to test the effectiveness of a biofeedback video game (Dojo) for adolescents with elevated levels of anxiety. Adolescents (11–15 years old) were randomly assigned to play Dojo or a control game (Rayman 2: The Great Escape). Initial screening for anxiety was done on 1,347 adolescents in five high schools; only adolescents who scored above the “at-risk” cut-off on the Spence Children Anxiety Survey were eligible. Adolescents’ anxiety levels were assessed at pre-test, post-test, and at three month follow-up to examine the extent to which playing Dojo decreased adolescents’ anxiety. The present study revealed equal improvements in anxiety symptoms in both conditions at follow-up and no differences between Dojo and the closely matched control game condition. Latent growth curve models did reveal a steeper decrease of personalized anxiety symptoms (not of total anxiety symptoms) in the Dojo condition compared to the control condition. Moderation analyses did not show any differences in outcomes between boys and girls nor did age differentiate outcomes. The present results are of importance for prevention science, as this was the first full-scale randomized controlled trial testing indicated prevention effects of a video game aimed at reducing anxiety. Future research should carefully consider the choice of control condition and outcome measurements, address the potentially high impact of participants’ expectations, and take critical design issues into consideration, such as individual- versus group-based intervention and contamination issues.

In everyday decision-making, individuals make trade-offs between short-term and long-term benefits or costs. Depending on many factors, individuals may choose to wait for larger delayed reward, yet in other situations they may prefer the smaller, immediate reward. In addition to within-subject variation in the short-term versus long-term reward trade-off, there are also interindividual differences in delay discounting (DD), which have been shown to be quite stable. The extent to which individuals discount the value of delayed rewards turns out to be associated with important health and disorder-related outcomes: the more discounting, the more unhealthy or problematic choices. This has led to the hypothesis that DD can be conceptualized as trans-disease process. The current systematic review presents an overview of behavioral trainings and manipulations that have been developed to reduce DD in human participants aged 12 years or older. Manipulation studies mostly contain one session and measure DD directly after the manipulation. Training studies add a multiple session training component that is not per se related to DD, in between two DD task measurements. Ninety-eight studies (151 experiments) were identified that tested behavioral trainings and manipulations to decrease DD. Overall, results indicated that DD can be decreased, showing that DD is profoundly context dependent and changeable. Most promising avenues to pursue in future research seem to be acceptance-based/mindfulness-based trainings, and even more so manipulations involving a future orientation. Limitations and recommendations are discussed to identify the mechanistic processes that allow for changes in discount rate and behavior accordingly.

Objective: Smoking is one of the leading public health problems worldwide. The inability to quit smoking may be the result of the amplified value of smoking-related cues and inhibitory control deficits. Previous research has shown that pairing substancerelated cues with no-go trials in go/no-go training reduces the value of these cues, an effect known as devaluation. The current experiment investigated the devaluation effect of go/no-go training on smoking-related cues, and compared this effect between smokers and nonsmokers. Design and Main Outcome Measures: 39 smokers and 43 nonsmokers were trained to respond immediately to neutral stimuli, but inhibit their reaction when smoking stimuli were presented. Before and after training, participants evaluated smoking and neutral stimuli, where part of these stimuli were subsequently presented in the training, and the other part was not used in training. Results: Not responding to smoking stimuli in go/no-go training decreased subsequent evaluations of trained smoking stimuli compared to untrained smoking stimuli, thereby replicating food and alcohol studies and extending the devaluation effect to smoking-related cues. This devaluation effect was found for both smokers and non-smokers.