Current Practices and Perspectives of Artificial Intelligence in the Clinical Management of Eating Disorders: Insights From Clinicians and Community Participants.

Objective: Artificial intelligence (AI) could revolutionize the delivery of mental health care, helping to streamline clinician workflows and assist with diagnostic and treatment decisions. Yet, before AI can be integrated into practice, it is necessary to understand perspectives of these tools to inform facilitators and barriers to their uptake. We gathered data on clinician and community participant perspectives of incorporating AI in the clinical management of eating disorders.

A dialectical behavior therapy skills training smartphone app for recurrent binge eating: a randomized clinical trial.

Background: Dialectical behavior therapy (DBT) is a specialized treatment that has a growing evidence base for binge-spectrum eating disorders. However, cost and workforce capacity limit wide-scale uptake of DBT since it involves over 20 in-person sessions with a trained professional (and six sessions for guided self-help format). Interventions translated for delivery through modern technology offer a solution to increase the accessibility of evidence-based treatments.

Application of Machine Learning Techniques to the Prediction of Onset and Persistence of Binge Eating: A Prospective Study.

Objective: Machine learning (ML) techniques have shown promise for enhancing prediction of clinical outcomes; however, its application to predicting binge eating has been scarcely explored. We applied ML techniques to predict binge eating onset (vs. continued absence) and persistence (vs.

Psychometric properties of a COVID-19 health literacy scale in a sample of German school principals applying Rasch analysis.

Background: During the COVID-19 pandemic, health literacy was found to be an asset to manage health-related information. The HLS-COVID-Q22 has been developed to measure COVID-19 health literacy. External validation needs to be assessed in different populations to verify the questionnaire's functioning.

The effectiveness of smartphone app-based interventions for insomnia and sleep disturbances: A meta-analysis of randomized controlled trials.

There is growing enthusiasm towards the role of smartphone app-based interventions in the management of insomnia and related sleep problems. A considerable number of apps designed to address insomnia have been developed in recent years, and randomized controlled trials (RCTs) have begun to explore their efficacy. We conducted a meta-analysis investigating the effectiveness of apps for insomnia and sleep disturbances.

Efficacy of mental health smartphone apps on stress levels: a meta-analysis of randomised controlled trials.

The management of stress has evolved in recent years due to widespread availability of mobile-device applications (apps) and their capacity to deliver psychological interventions. We evaluated the efficacy of mental health apps on stress and sought to identify characteristics associated with effect size estimates. Sixty-nine randomised controlled trials (RCTs) were included.

Resilience eDBT: Development and Usability Evaluation of a Dialectical Behavior Therapy Skills Training App for Eating Disorders.

Objective: Dialectical behavior therapy (DBT) is an evidence-based treatment for disorders characterized by recurrent binge eating. Yet, access to specialized treatment like DBT remains limited. To increase the accessibility of DBT, we developed a DBT skills training app (Resilience: eDBT) for the management of eating disorder (ED) symptoms.

A randomized controlled trial of an online single session intervention for body image in individuals with recurrent binge eating.

Objective: Theoretical models highlight body image disturbances as central to the maintenance of eating disorders, with empirical evidence finding negative body image to be a robust predictor of treatment nonresponse, relapse and symptom persistence. Accessible, scalable, and inexpensive interventions that can effectively target negative body image across the eating disorders are needed. We developed an online single session intervention (SSI) for negative body image and evaluated its acceptability and efficacy in a randomized controlled trial in individuals with recurrent binge eating.

Enhancing inferences and conclusions in body image focused non-experimental research via a causal modelling approach: A tutorial.

Causal inference is often the goal of psychological research. However, most researchers refrain from drawing causal conclusions based on non-experimental evidence. Despite the challenges associated with producing causal evidence from non-experimental data, it is crucial to address causal questions directly rather than avoiding them.

Safety and Immune Responses Following Anti-PD-1 Monoclonal Antibody Infusions in Healthy Persons With Human Immunodeficiency Virus on Antiretroviral Therapy.

Background: T cells in people with human immunodeficiency virus (HIV) demonstrate an exhausted phenotype, and HIV-specific CD4 T cells expressing programmed cell death 1 (PD-1) are enriched for latent HIV, making antibody to PD-1 a potential strategy to target the latent reservoir.

Methods: This was a phase 1/2, randomized (4:1), double-blind, placebo-controlled study in adults with suppressed HIV on antiretroviral therapy with CD4 counts ≥350 cells/μL who received 2 infusions of cemiplimab versus placebo. The primary outcome was safety, defined as any grade 3 or higher adverse event (AE) or any immune-related AE (irAE).

Target-user preferences, motivations, and acceptance for a dialectical behaviour therapy smartphone application for eating disorders.

Purpose: Evidence shows that dialectical behavioural therapy (DBT) is efficacious for eating disorders (ED), yet few people have access to specialized treatments like DBT. Translating key DBT skills for delivery via a smartphone application may broaden the dissemination of evidence-based interventions. However, prior to developing a DBT-based app, it is crucial to gather information on target-user needs and preferences.

Bidirectional relationships between muscularity-oriented disordered eating and mental health constructs: a prospective study.

Muscularity-oriented disordered eating (MODE) is a novel class of eating behaviors characterised by abnormal dietary alterations aimed towards building lean muscle. Although traditionally shown to affect men, emerging evidence suggests that increasingly more women are striving for the muscular and lean ideal, resulting in engagement of MODE behaviors. Prior research examining MODE in women is limited, yet emerging evidence from cross-sectional studies have established associations between MODE and poor mental health indices in this population.

Body appreciation predicts lower levels of orthorexia nervosa symptoms: Prospective findings.

Recent evidence shows that negative body image may be a potential risk factor for symptoms of orthorexia nervosa (ON). However, whether positive body image plays a protective role against symptoms of ON remains unclear. Although prior research has established associations between body appreciation (a core component of positive body image) and ON symptoms, this research is limited to cross-sectional designs, precluding inferences of temporal precedence.

Current evidence on the efficacy of mental health smartphone apps for symptoms of depression and anxiety. A meta-analysis of 176 randomized controlled trials.

The mental health care available for depression and anxiety has recently undergone a major technological revolution, with growing interest towards the potential of smartphone apps as a scalable tool to treat these conditions. Since the last comprehensive meta-analysis in 2019 established positive yet variable effects of apps on depressive and anxiety symptoms, more than 100 new randomized controlled trials (RCTs) have been carried out. We conducted an updated meta-analysis with the objectives of providing more precise estimates of effects, quantifying generalizability from this evidence base, and understanding whether major app and trial characteristics moderate effect sizes.

An inflexible adherence to food rules mediates the longitudinal association between shape/weight overvaluation and binge eating.

Understanding factors that account for the persistence of binge eating is necessary for developing effective early intervention and treatment approaches. The cognitive-behavioral model of eating disorders proposes that judgements of self-worth contingent upon weight and shape encourage adoption of multiple demanding rules related to food, eating and dieting, in turn increasing vulnerability to binge eating. However, there is limited longitudinal evidence supporting this hypothesized sequence of events.

Preparing Nurse Educator Students for the New National Council of State Boards of Nursing NCLEX and AACN Essentials.

Background: Graduate nursing education students are required to complete essential core content (such as education theory, accreditation, evidence-based teaching strategies, and evaluation methods) to prepare them to transition into independent practice. The 2021-2022 academic year required a monumental change in the existing curriculum to incorporate the 2021 American Association of Colleges of Nursing and the Next Gen National Council Licensure Examination (NCLEX) content.

Method: An innovative, prioritized, learner-centered, backward design was used to update the existing curriculum to add the new core content to the nursing education student curriculum.

The efficacy of mindfulness apps on symptoms of depression and anxiety: An updated meta-analysis of randomized controlled trials.

Mindfulness apps have become popular tools for addressing symptoms of depression and anxiety. Since the publication of earlier meta-analyses evaluating the efficacy of mindfulness apps for depression and anxiety symptoms, over 20 randomized controlled trials (RCTs) have been conducted. There is a need for an updated meta-analysis that quantifies the effects of mindfulness apps on these symptoms and tests for potential moderators.

Digital health applications for eating disorders treatment.

Eating disorders (EDs) are characterized by multifaceted etiologies, difficulties in accessing care (especially in regional locations), and variable responsiveness to treatments. Digital technologies are viewed as an important innovation in the assessment and treatment of EDs. We discuss current implementation of these innovations as well as important future directions for the field.

A single blinded, phase IV, adaptive randomised control trial to evaluate the safety of coadministration of seasonal influenza and COVID-19 vaccines (The FluVID study).

Objectives: We evaluated the frequency of moderate and severe adverse events following coadministration of seasonal influenza vaccine (SIV) versus placebo with COVID-19 vaccines among adults to support practice guidelines.

Methods: FluVID is a participant-blinded, phase IV, randomised control trial. On the same day as the participant's scheduled COVID-19 vaccine, participants were randomised to receive SIV or saline placebo; those assigned placebo at visit one then received SIV a week later, and vice versa.

Predictors, mediators, and moderators of response to digital interventions for eating disorders: A systematic review.

Objective: Digital interventions show promise as an effective prevention or self-management option for eating disorders (EDs). However, it remains unclear how, for whom, and through what mechanisms they work in this population, as a synthesis of outcome predictors, moderators, and mediators is lacking. This systematic review synthesized empirical research investigating predictors, mediators, and moderators of response to digital interventions for EDs.

[What is a public health intervention? Results of a Delphi process in German-speaking countries].

Background: Internationally, a variety of definitions for public health interventions (PHI) exist. In the German-speaking countries, however, a definition is still outstanding. Therefore, the aim of this study was to derive consensus criteria for the definition of PHI from the expert perspective of science and practice.

Infant and preschool attachment, continuity and relationship to caregiving sensitivity: findings from a new population-based Australian cohort.

Background: Here, we report new prevalence and temporal stability data for child attachment and parental caregiving behaviour, from infancy (1 year) to preschool (4 years).

Methods: Attachment (SSP) and caregiving data (MBQS) were from observations of parents and their infants and preschoolers, who represent the third generation of participants within an Australian longitudinal cohort.

Results: At 1 year (n = 314 dyads) and at 4 years (n = 368 dyads), proportions assessed secure were 59% and 71%, respectively.

Longitudinal association between self-compassion and intuitive eating: Testing emotion regulation and body image flexibility as mediating variables.

Objectives: Growing evidence suggests that intuitive eating is associated with numerous positive mental health and well-being constructs. Understanding factors that predict intuitive eating is necessary for identifying practical targets to enhance this style of eating, yet research identifying such predictors is scarce. Self-compassion is one variable that could enhance intuitive eating because it involves the practice of healthy emotion regulation skills that may disrupt the tendency to turn to food to cope during distressing situations.

Urban-rural differences in health literacy in the metropolitan area of Berlin, Germany, and its surroundings.

Background: Health literacy is gaining importance as it concerns the ability of individuals to encounter the complex demands of health in modern societies. Little is known about the environmental associations of health literacy in high-income countries. This study aims to (i) analyse urban-rural differences in health literacy and further (ii) investigate the interrelations of associated factors.