Effects of a Digital Mental Health Intervention on Perceived Stress and Rumination in Adolescents Aged 13 to 17 Years: Randomized Controlled Trial.

Background: Although adolescents report high levels of stress, they report engaging in few stress management techniques. Consequently, developing effective and targeted programs to help address this transdiagnostic risk factor in adolescence is particularly important. Most stress management programs for adolescents are delivered within schools, and the evidence for these programs is mixed, suggesting a need for alternative options for stress management among adolescents.

Artificially intelligent chatbots in digital mental health interventions: a review.

Introduction: Increasing demand for mental health services and the expanding capabilities of artificial intelligence (AI) in recent years has driven the development of digital mental health interventions (DMHIs). To date, AI-based chatbots have been integrated into DMHIs to support diagnostics and screening, symptom management and behavior change, and content delivery.

Areas Covered: We summarize the current landscape of DMHIs, with a focus on AI-based chatbots.

Engagement in Digital Mental Health Interventions: Can Monetary Incentives Help?

Digital mental health interventions (DMHI) are scalable and cost-effective strategies for increasing access to mental health care; however, dropout rates associated with digital interventions are high, particularly for open-access digital interventions. While some studies have focused on predictors of dropout from digital mental health programs, few studies have focused on engagement features that might improve engagement. In this perspective article, we discuss whether monetary incentives (MI) are one avenue to increasing user engagement in DMHI.

The Effects of a Digital Mental Health Intervention in Adults With Cardiovascular Disease Risk Factors: Analysis of Real-World User Data.

Background: The American Heart Association has identified poor mental health as a key barrier to healthy behavior change for those with cardiovascular disease (CVD) risk factors such as high blood pressure, high cholesterol, and diabetes. Digital mental health interventions, like those delivered via the internet to computers or smartphones, may provide a scalable solution to improving the mental and physical health of this population. Happify is one such intervention and has demonstrated evidence of efficacy for improving aspects of mental health in both the general population and in users with chronic conditions.

Effects of a Digital Mental Health Program on Perceived Stress in Adolescents Aged 13-17 Years: Protocol for a Randomized Controlled Trial.

Background: Stress is an important transdiagnostic risk factor in adolescence and predicts a host of physical and psychological problems in adolescence and adulthood. Adolescence is also a developmental stage in which people may be more sensitive or reactive to stress. Indeed, research has shown that adolescents report high levels of stress, particularly when enrolled in school.

The Impact of a Digital Intervention (Happify) on Loneliness During COVID-19: Qualitative Focus Group.

Background: Loneliness is a growing area of concern, attracting attention as a public health concern due to its association with a variety of psychological and physical health problems. However, interventions targeting loneliness are less common than interventions for other mental health problems, such as depression and anxiety, and existing interventions focus primarily on building social skills and increasing opportunities for social interaction despite research suggesting these techniques are not the most effective. Furthermore, although there is an increasing need for scalable and convenient interventions, digital interventions for loneliness are even less common.

The Effects of a Digital Well-Being Intervention on Patients With Chronic Conditions: Observational Study.

Background: Chronic conditions account for 75% of health care costs, and the impact of chronic illness is expected to grow over time. Although subjective well-being predicts better health outcomes, people with chronic conditions tend to report lower well-being. Improving well-being might mitigate costs associated with chronic illness; however, existing interventions can be difficult to access and draw from a single theoretical approach.

Interpersonal sensitivity, status, and stereotype accuracy.

A classic question in social and organizational psychology is whether low-status persons are more accurate in the perception of their high-status partners than the latter are in their perception of their subordinates. In a series of studies, Snodgrass (1985, 1992) tested this idea. She found that subordinates were more accurate at judging how their bosses viewed them than bosses were at judging how their subordinates viewed them, but that bosses were more accurate at judging how subordinates viewed themselves than subordinates were at judging how bosses viewed themselves.

A context-informed approach to the study of negative-feedback seeking in depression.

The purpose of the current study was to examine the link between negative-feedback seeking (NFS) and depression using a behavioural task that addressed many of the limitations of existing measures of NFS, to use a remitted-depressive design to determine whether NFS is a temporary or stable feature of depression, and to examine the role of personality and contextual variables (e.g., marital quality, spousal characteristics) in NFS.