Perspectives of Key Stakeholders on Integrating Wearable Sensor Technology into Rehabilitation Care: A Mixed-Methods Analysis.

Introduction: Rehabilitation is facing a critical practice gap: Patients seek out rehabilitation services to improve their activity in daily life, yet recent work demonstrates that rehabilitation may be having a limited impact on improving this outcome due to lack of objective data on patients' activity in daily life. Remote monitoring using wearable sensor technology is a promising solution to this address this gap. The purpose of this study was to understand patient and clinician awareness of the practice gap and preferences for integrating wearable sensor technology into rehabilitation care.

Development, usability, and preliminary efficacy of a virtual reality experience to promote healthy lifestyle behaviors in children: pilot randomized controlled trial.

Background: Virtual reality (VR) shows promise for supporting behavior change in children. This study used user-centered design to translate key tenets of behavioral health interventions into VR for children aged 6-12 years and their caregivers and examined the feasibility, acceptability, and preliminary efficacy of the VR experience in a pilot parallel, two-group randomized controlled trial (RCT).

Methods: The VR experience incorporates psychoeducational content from evidence-based behavioral health interventions using voiceover and an interactive go-kart game related to the concepts of "food as fuel" and nutrition guidelines.

The relationship of race, ethnicity, gender identity, sex assigned at birth, sexual orientation, parental education, financial hardship and comorbid mental disorders with quality of life in college students with anxiety, depression or eating disorders.

Background: Previous studies showed that comorbidity and demographic factors added to burden on health-related quality of life (HRQoL). Only one study explored the relationship between HRQoL and comorbidity in college students with mental disorders, leaving generalizability of findings uncertain. Less is known about the association of demographics on HRQoL.

Cost-effectiveness of train-the-trainer versus expert consultation training models for implementing interpersonal psychotherapy in college mental health settings: evidence from a national cluster randomized trial.

Background: This study is a cost-effectiveness study of two implementation strategies designed to train therapists in college and university counseling centers to deliver interpersonal psychotherapy. Costs of implementing a train-the-trainer (TTT) strategy versus an expert consultation strategy were estimated, and their relative effects upon therapist outcomes were calculated and compared.

Methods: Twenty four counseling centers were recruited across the United States.

Effects of Chatbot Components to Facilitate Mental Health Services Use in Individuals With Eating Disorders Following Online Screening: An Optimization Randomized Controlled Trial.

Objective: Few individuals with eating disorders (EDs) receive treatment. Innovations are needed to identify individuals with EDs and address care barriers. We developed a chatbot for promoting services uptake that could be paired with online screening.

Development and usability testing of an online platform for provider training and implementation of cognitive-behavioral therapy guided self-help for eating disorders.

Background: Most individuals with eating disorders (EDs) do not receive treatment, and those who do receive care typically do not receive evidence-based treatment, partly due to lack of accessible provider training. This study developed a novel "all-in-one" online platform for disseminating training for mental health providers in cognitive-behavioral therapy guided self-help (CBTgsh) for EDs and supporting its implementation. The aim of the study was to obtain usability data from the online platform prior to evaluating its effects on provider training outcomes and patient ED symptom outcomes in an open pilot trial.

A pilot study evaluating online training for therapist delivery of interpersonal psychotherapy for eating disorders.

Objective: Individuals with eating disorders (EDs) often do not receive evidence-based care, such as interpersonal psychotherapy (IPT), partly due to lack of accessible training in these treatments. The standard method of training (i.e.

A cultural models approach to understanding body fatness perceptions and disordered eating in young South Korean men.

Objective: The eating disorders field has been limited by a predominant focus on White, Western women, and there is growing recognition of the need to understand cross-cultural variation in key constructs (i.e., ideal body types).

Machine Learning and Bayesian Network Analyses Identifies Psychiatric Disorders and Symptom Associations with Insomnia in a national sample of 31,285 Treatment-Seeking College Students.

Background: A better understanding of the structure of relations among insomnia and anxiety, mood, eating, and alcohol-use disorders is needed, given its prevalence among young adults. Supervised machine learning provides the ability to evaluate the discriminative accuracy of psychiatric disorders associated with insomnia. Combined with Bayesian network analysis, the directionality between symptoms and their associations may be illuminated.

Development and usability testing of a cognitive-behavioral therapy-guided self-help mobile app and social media group for the post-acute treatment of anorexia nervosa.

Objective: Anorexia nervosa (AN) is often treated in the acute setting, but relapse after treatment is common. Cognitive-behavioral therapy (CBT) is useful in the post-acute period, but access to trained providers is limited. Social support is also critical during this period.

Eating disorder symptoms and comorbid mental health risk among teens recruited to a digital intervention research study via two online approaches.

Introduction: It is crucial to identify and evaluate feasible, proactive ways to reach teens with eating disorders (EDs) who may not otherwise have access to screening or treatment. This study aimed to explore the feasibility of recruiting teens with EDs to a digital intervention study via social media and a publicly available online ED screen, and to compare the characteristics of teens recruited by each approach in an exploratory fashion.

Method: Teens aged 14-17 years old who screened positive for a clinical/subclinical ED or at risk for an ED and who were not currently in ED treatment completed a baseline survey to assess current ED symptoms, mental health comorbidities, and barriers to treatment.

Adaptations of an Online Cognitive-Behavioral Therapy Intervention for Binge-Purge Type Eating Disorders in Publicly-Insured and Uninsured Adults: A Pilot Study.

Background Publicly-insured and uninsured individuals-many of whom are marginalized because of race/ethnicity, disability and/or sexual preferences-experience barriers to accessing evidence-based interventions for eating disorders (EDs). Additionally, EBIs have not been developed with or for diverse populations, exacerbating poor treatment uptake. Mobile technology is perfectly positioned to bridge this gap and increase access to low-cost, culturally-sensitive EBIs.

Nurturing innovation, catalyzing change: Honoring the legacy of Dr. C. Barr Taylor in the eating disorders field.

This Virtual Issue of the International Journal of Eating Disorders honors the legacy of the late Dr. C. Barr Taylor in the eating disorders (EDs) field.

Thinking flexibly about who digital mental health interventions are for and how they should be evaluated and used: Commentary on McClure et al. (2023).

Less than 20% of individuals with eating disorders (EDs) ever receive treatment. Digital interventions offer one solution to this problem and have demonstrated promise, but there is a need to understand predictors, moderators, and mediators of response, which McClure and colleagues aimed to do in their systematic review. Yet their review also raised key definitional and measurement issues pertinent to conducting research on digital interventions for EDs and other mental health problems, which may have impacted the conclusions drawn and which may stem from applying what has "always been done" in research on more traditional psychological interventions to research on digital interventions.

Not niche: eating disorders as an example in the dangers of overspecialisation.

Labelling specific psychiatric concerns as 'niche' topics relegated to specialty journals obstructs high-quality research and clinical care for these issues. Despite their severity, eating disorders are under-represented in high-impact journals, underfunded, and under-addressed in psychiatric training. We provide recommendations to stimulate broad knowledge dissemination for under-acknowledged, yet severe, psychiatric disorders.

Training, supervision, and experience of coaches offering digital guided self-help for mental health concerns.

Accessible, low-cost intervention options are necessary to address the rise in mental health problems among college students. Digital guided self-help, or coached, programs have been developed to provide such services, with many commercially available. As such, there are a large and growing number of individuals coaching these programs.

Prevalence, characteristics, and correlates of probable avoidant/restrictive food intake disorder among adult respondents to the National Eating Disorders Association online screen: a cross-sectional study.

Background: Avoidant/restrictive food intake disorder (ARFID) is a serious, albeit under-researched, feeding or eating disorder. This exploratory study utilized data from adult respondents to the National Eating Disorders Association online eating disorder screen to validate items assessing the presence of ARFID and examine the prevalence, clinical characteristics, and correlates of a positive ARFID screen.

Methods: Among 50,082 adult screen respondents between January 2022 and January 2023, the prevalence of a positive ARFID screen was calculated.