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. For decades, Dr. Taylor led the way in not only conducting the research needed to achieve the ultimate goal of making affordable, accessible, and evidence-based care for EDs available to all, but also nurturing the next generation of scientific leaders and innovators. Articles included in this Virtual Issue are a selection of Dr. Taylor's published works in the Journal in the past decade, spanning original research, ideas worth researching, commentaries, and a systematic review. We hope this Virtual Issue will inspire the next generation of research in EDs, and equally, if not more importantly, the next generation of young investigators in the field. We urge the field to continue and build upon Dr. Taylor's vision-to increase access to targeted prevention and intervention for EDs in innovative and forward-thinking ways-while embracing his unique and powerful mentorship style to lift up early career investigators and create a community of leaders to address and solve our field's biggest challenges.

Action recommendations review in community-based therapy and depression and anxiety outcomes: a machine learning approach.

BACKGROUND: While the positive impact of homework completion on symptom alleviation is well-established, the pivotal role of therapists in reviewing these assignments has been under-investigated. This study examined therapists' practice of assigning and reviewing action recommendations in therapy sessions, and how it correlates with patients' depression and anxiety outcomes. METHODS: We analyzed 2,444 therapy sessions from community-based behavioral health programs. Machine learning models and natural language processing techniques were deployed to discern action recommendations and their subsequent reviews. The extent of the review was quantified by measuring the proportion of session dialogues reviewing action recommendations, a metric we refer to as "review percentage". Using Generalized Estimating Equations modeling, we evaluated the correlation between this metric and changes in clients' depression and anxiety scores. RESULTS: Our models achieved 76% precision in capturing action recommendations and 71.1% in reviewing them. Using these models, we found that therapists typically provided clients with one to eight action recommendations per session to engage in outside therapy. However, only half of the sessions included a review of previously assigned action recommendations. We identified a significant interaction between the initial depression score and the review percentage (p = 0.045). When adjusting for this relationship, the review percentage was positively and significantly associated with a reduction in depression score (p = 0.032). This suggests that more frequent review of action recommendations in therapy relates to greater improvement in depression symptoms. Further analyses highlighted this association for mild depression (p = 0.024), but not for anxiety or moderate to severe depression. CONCLUSIONS: An observed positive association exists between therapists' review of previous sessions' action recommendations and improved treatment outcomes among clients with mild depression, highlighting the possible advantages of consistently revisiting therapeutic homework in real-world therapy settings. Results underscore the importance of developing effective strategies to help therapists maintain continuity between therapy sessions, potentially enhancing the impact of therapy.

Preventing eating disorders and disordered eating in genetically vulnerable, high-risk families.

OBJECTIVE: To close the chasm between theory about families containing a parent with an eating disorders (EDs) history and lack of selective or indicated prevention programming for such families with an older child or adolescent who is, genetically, at high risk. METHOD: A search of four major databases for January 2000 through September 2022 yielded no publications that (a) identified genetically high-risk families with offspring ages 10 through 18; (b) devised a prevention program for the family; and (c) evaluated program effects on risk/protective factors. To rectify this gap, research on three lines of family-based prevention is reviewed: (1) programs for adolescents at genetic risk for depression or anxiety; (2) the Stanford-Dresden project for adolescents at high risk for anorexia nervosa; and (3) Sadeh-Sharvit et al.'s work concerning the Parent-Based Prevention program for mothers with an EDs history and a child under age 5. RESULTS: The significant challenges for innovative prevention programming should be addressed by experts in effective EDs, depression, and anxiety prevention, and in family-based treatment (FBT) for EDs, collaborating with people from genetically vulnerable families. Innovative programming should focus on robust risk factors for EDs, adaptive expression of non-specific risk factors (e.g., temperament), and strengthening family functioning. DISCUSSION: The field is overdue for development of prevention programs designed for older children or adolescents who are at risk because a parent has an ED. Evidence-based prevention programs for EDs and for depression and anxiety, as well as parent-based prevention informed by FBT, provide a springboard for addressing this gap. PUBLIC SIGNIFICANCE: The foundation of theory and research is available for stakeholders to develop prevention programming that closes the huge gap between theory and research about families that are genetically vulnerable for eating disorders versus the complete lack of prevention programming for such families that have an older child or adolescent at high risk.

Effects of an Artificial Intelligence Platform for Behavioral Interventions on Depression and Anxiety Symptoms: Randomized Clinical Trial.

BACKGROUND: The need for scalable delivery of mental health care services that are efficient and effective is now a major public health priority. Artificial intelligence (AI) tools have the potential to improve behavioral health care services by helping clinicians collect objective data on patients' progress, streamline their workflow, and automate administrative tasks. OBJECTIVE: The aim of this study was to determine the feasibility, acceptability, and preliminary efficacy of an AI platform for behavioral health in facilitating better clinical outcomes for patients receiving outpatient therapy. METHODS: The study was conducted at a community-based clinic in the United States. Participants were 47 adults referred for outpatient, individual cognitive behavioral therapy for a main diagnosis of a depressive or anxiety disorder. The platform provided by Eleos Health was compared to a treatment-as-usual (TAU) approach during the first 2 months of therapy. This AI platform summarizes and transcribes the therapy session, provides feedback to therapists on the use of evidence-based practices, and integrates these data with routine standardized questionnaires completed by patients. The information is also used to draft the session's progress note. Patients were randomized to receive either therapy provided with the support of an AI platform developed by Eleos Health or TAU at the same clinic. Data analysis was carried out based on an intention-to-treat approach from December 2022 to January 2023. The primary outcomes included the feasibility and acceptability of the AI platform. Secondary outcomes included changes in depression (Patient Health Questionnaire-9) and anxiety (Generalized Anxiety Disorder-7) scores as well as treatment attendance, satisfaction, and perceived helpfulness. RESULTS: A total of 72 patients were approached, of whom 47 (67%) agreed to participate. Participants were adults (34/47, 72% women and 13/47, 28% men; mean age 30.64, SD 11.02 years), with 23 randomized to the AI platform group, and 24 to TAU. Participants in the AI group attended, on average, 67% (mean 5.24, SD 2.31) more sessions compared to those in TAU (mean 3.14, SD 1.99). Depression and anxiety symptoms were reduced by 34% and 29% in the AI platform group versus 20% and 8% for TAU, respectively, with large effect sizes for the therapy delivered with the support of the AI platform. No group difference was found in 2-month treatment satisfaction and perceived helpfulness. Further, therapists using the AI platform submitted their progress notes, on average, 55 hours earlier than therapists in the TAU group (t=-0.73; P<.001). CONCLUSIONS: In this randomized controlled trial, therapy provided with the support of Eleos Health demonstrated superior depression and anxiety outcomes as well as patient retention, compared with TAU. These findings suggest that complementing the mental health services provided in community-based clinics with an AI platform specializing in behavioral treatment was more effective in reducing key symptoms than standard therapy. TRIAL REGISTRATION: ClinicalTrials.gov NCT05745103; https://classic.clinicaltrials.gov/ct2/show/NCT05745103.

Digital guided self-help for eating disorders: thematic analysis of participant text messages to coaches.

Digital guided self-help for eating disorders (GSH-ED) can reduce treatment disparities. Understanding program participants' interests throughout the program can help adapt programs to the service users' needs. Participants were 383 college students receiving a digital GSH-ED, who were each assigned a coach to help them better utilize the intervention through text correspondence. A thematic and affective analysis of the texts participants had sent found they primarily focused on: strategies for changing their ED-related cognitions, behaviors, and relationships; describing symptoms without expressing an active endeavor to change; and participants' relationship with their coach. Most texts also expressed affect, demonstrating emotional engagement with the intervention. Findings suggest that participants in GSH-ED demonstrate high involvement with the intervention, and discuss topics that are similar to those reported in clinician-facilitated interventions. The themes discussed by digital program participants can inform future iterations of GSH-ED, thereby increasing scalability and accessibility of digital evidence-based ED interventions.

Eating disorders early app use mediates treatment effect on clinical improvement.

OBJECTIVE: Eating disorders (EDs) contribute considerably to the global burden of disease. However, most affected individuals do not receive treatment. Mobile apps present an enormous opportunity to increase access to mental healthcare services. This study examined whether the degree of usage of a self-help app for EDs mediated the app's effects on the clinical response by individuals with EDs. METHOD: App usage measures included the total number of cognitive-behavioral meal logs, total number of days spent using the app, and the last day the app was used during the study period. Mediation analysis was performed using the MacArthur framework. RESULTS: All usage variables met the analytic requirements for testing mediation (group means (sd) for app and standard app, respectively: logs = 74 (108) vs. 51.4 (88.1), days spent = 14.3 (17.5) vs. 10.6 (15.0), p-values from Wilcox rank sum tests p < .01). Regression coefficients indicated mediation effects. The mediation effects demonstrated support that increased engagement (as measured by logs and time spent on the app) was related to an increased likelihood of achieving a significant clinical change by the end of the trial. DISCUSSION: Greater and longer engagement in an ED app mediates its efficacy in terms of ED remission.

Development and usability testing of a chatbot to promote mental health services use among individuals with eating disorders following screening.

OBJECTIVE: A significant gap exists between those who need and those who receive care for eating disorders (EDs). Novel solutions are needed to encourage service use and address treatment barriers. This study developed and evaluated the usability of a chatbot designed for pairing with online ED screening. The tool aimed to promote mental health service utilization by improving motivation for treatment and self-efficacy among individuals with EDs. METHODS: A chatbot prototype, Alex, was designed using decision trees and theoretically-informed components: psychoeducation, motivational interviewing, personalized recommendations, and repeated administration. Usability testing was conducted over four iterative cycles, with user feedback informing refinements to the next iteration. Post-testing, participants (N= 21) completed the System Usability Scale (SUS), the Usefulness, Satisfaction, and Ease of Use Questionnaire (USE), and a semi-structured interview. RESULTS: Interview feedback detailed chatbot aspects participants enjoyed and aspects necessitating improvement. Feedback converged on four themes: user experience, chatbot qualities, chatbot content, and ease of use. Following refinements, users described Alex as humanlike, supportive, and encouraging. Content was perceived as novel and personally relevant. USE scores across domains were generally above average (~5 out of 7), and SUS scores indicated "good" to "excellent" usability across cycles, with the final iteration receiving the highest average score. DISCUSSION: Overall, participants generally reflected positively on interactions with Alex, including the initial version. Refinements between cycles further improved user experiences. This study provides preliminary evidence of the feasibility and acceptance of a chatbot designed to promote motivation for and use of services among individuals with EDs. PUBLIC SIGNIFICANCE: Low rates of service utilization and treatment have been observed among individuals following online eating disorder screening. Tools are needed, including scalable, digital options, that can be easily paired with screening, to improve motivation for addressing eating disorders and promote service utilization.

Eating disorders during the COVID-19 pandemic and quarantine: an overview of risks and recommendations for treatment and early intervention.

Individuals with eating disorders (EDs) are at significant risk for increases in symptomatology and diminished treatment access during the COVID-19 pandemic. Environmental precautions to limit coronavirus spread have affected food availability and access to healthy coping mechanisms, and have contributed to weight-stigmatizing social media messages that may be uniquely harmful to those experiencing EDs. Additionally, changes in socialization and routine, stress, and experiences of trauma that are being experienced globally may be particularly deleterious to ED risk and recovery. This paper presents a brief review of the pertinent literature related to the risk of EDs in the context of COVID-19 and offers suggestions for modifying intervention efforts to accommodate the unique challenges individuals with EDs and providers may be experiencing in light of the ongoing public health crisis.

Predicting eating disorders from Internet activity.

OBJECTIVE: Eating disorders (EDs) compromise the health and functioning of affected individuals, but it can often take them several years to acknowledge their illness and seek treatment. Early identification of individuals with EDs is a public health priority, and innovative approaches are needed for such identification and ultimate linkage with evidence-based interventions. This study examined whether Internet activity data can predict ED risk/diagnostic status, potentially informing timely interventions. METHOD: Participants were 936 women who completed a clinically validated online survey for EDs, and 231 of them (24.7%) contributed their Internet browsing history. A machine learning algorithm used key attributes from participants' Internet activity histories to predict their ED status: clinical/subclinical ED, high risk for an ED, or no ED. RESULTS: The algorithm reached an accuracy of 52.6% in predicting ED risk/diagnostic status, compared to random decision accuracy of 38.1%, a relative improvement of 38%. The most predictive Internet search history variables were the following: use of keywords related to ED symptoms and websites promoting ED content, participant age, median browsing events per day, and fraction of daily activity at noon. DISCUSSION: ED risk or clinical status can be predicted via machine learning with moderate accuracy using Internet activity variables. This model, if replicated in larger samples where it demonstrates stronger predictive value, could identify populations where further assessment is merited. Future iterations could also inform tailored digital interventions, timed to be provided when target online behaviors occur, thereby potentially improving the well-being of many individuals who may otherwise remain undetected.

Eating disorder symptomatology, clinical impairment, and comorbid psychopathology in racially and ethnically diverse college women with eating disorders.

OBJECTIVE: To examine eating disorder (ED) symptomatology, related clinical impairment, and comorbid psychopathology in college women with EDs across five racial and two ethnic groups. METHOD: Participants were 690 women from 28 US universities who screened positive for an ED. Thirteen variables assessing ED symptoms, related clinical impairment, and comorbid psychopathology were compared across racial and ethnic groups using analyses of variance (ANOVAs) and independent samples t-tests. RESULTS: Across racial groups, significant differences emerged in binge eating and laxative use. Asian women reported significantly more binge eating than White women (p < .01). Individuals self-identified as the "Other" racial group reported greater laxative use than Asian and White women (ps ≤ .01). No other significant differences emerged across all other variables (ps ≥ .13). Across ethnic groups, Hispanic women reported significantly more laxative use (p < .01), and more comorbid insomnia symptoms (p = .03) than non-Hispanic women. No other significant differences were observed (ps ≥ .24). DISCUSSION: Findings suggest that binge eating, laxative use, and insomnia symptoms differ across racial and ethnic groups in US college women who screened positive for EDs. Findings can inform tailoring of ED screening to reduce current disparities in these underrepresented populations.

Using Digital Technology to Reduce the Prevalence of Mental Health Disorders in Populations: Time for a New Approach.

Digital technology, which includes the collection, analysis, and use of data from a variety of digital devices, has the potential to reduce the prevalence of disorders and improve mental health in populations. Among the many advantages of digital technology is that it allows preventive and clinical interventions, both of which are needed to reduce the prevalence of mental health disorders, to be feasibly integrated into health care and community delivery systems and delivered at scale. However, the use of digital technology also presents several challenges, including how systems can manage and implement interventions in a rapidly changing digital environment and handle critical issues that affect population-wide outcomes, including reaching the targeted population, obtaining meaningful levels of uptake and use of interventions, and achieving significant outcomes. We describe a possible solution, which is to have an outcome optimization team that focuses on the dynamic use of data to adapt interventions for populations, while at the same time, addressing the complex relationships among reach, uptake, use, and outcome. We use the example of eating disorders in young people to illustrate how this solution could be implemented at scale. We also discuss system, practitioner-related, and other issues related to the adaptation of such an approach. Digital technology has great potential for facilitating the reduction of mental illness rates in populations. However, achieving this goal will require the implementation of new approaches. As a solution, we argue for the need to create outcome optimization teams, tasked with integrating data from various sources and using advanced data analytics and new designs to develop interventions/strategies to increase reach, uptake, use/engagement, and outcomes for both preventive and treatment interventions.

A Framework for Applying Natural Language Processing in Digital Health Interventions.

BACKGROUND: Digital health interventions (DHIs) are poised to reduce target symptoms in a scalable, affordable, and empirically supported way. DHIs that involve coaching or clinical support often collect text data from 2 sources: (1) open correspondence between users and the trained practitioners supporting them through a messaging system and (2) text data recorded during the intervention by users, such as diary entries. Natural language processing (NLP) offers methods for analyzing text, augmenting the understanding of intervention effects, and informing therapeutic decision making. OBJECTIVE: This study aimed to present a technical framework that supports the automated analysis of both types of text data often present in DHIs. This framework generates text features and helps to build statistical models to predict target variables, including user engagement, symptom change, and therapeutic outcomes. METHODS: We first discussed various NLP techniques and demonstrated how they are implemented in the presented framework. We then applied the framework in a case study of the Healthy Body Image Program, a Web-based intervention trial for eating disorders (EDs). A total of 372 participants who screened positive for an ED received a DHI aimed at reducing ED psychopathology (including binge eating and purging behaviors) and improving body image. These users generated 37,228 intervention text snippets and exchanged 4285 user-coach messages, which were analyzed using the proposed model. RESULTS: We applied the framework to predict binge eating behavior, resulting in an area under the curve between 0.57 (when applied to new users) and 0.72 (when applied to new symptom reports of known users). In addition, initial evidence indicated that specific text features predicted the therapeutic outcome of reducing ED symptoms. CONCLUSIONS: The case study demonstrates the usefulness of a structured approach to text data analytics. NLP techniques improve the prediction of symptom changes in DHIs. We present a technical framework that can be easily applied in other clinical trials and clinical presentations and encourage other groups to apply the framework in similar contexts.

Interventions to Empower Adults with Eating Disorders and Their Partners around the Transition to Parenthood.

The transition to parenthood is perceived as a stressful life event, when parents experience an immense change of their psychological focus and a reorientation of roles and responsibilities in the family system. This process may be even more challenging in the presence of a parental eating disorder history. This paper reviews the impact of parental eating disorders on the parents, the couple relationship, and their child during the perinatal period. A parental eating disorder is associated with more negative expectations of parental efficacy as well as specific difficulties in couple communication over the child's feeding, shape, and weight. Providers who better understand the effects of an eating disorder on parental functioning can more effectively intervene early on. We also present couple- or parent-based, empirically supported interventions for adults with eating disorders and their partners in the prenatal and postnatal periods: Uniting Couples in the treatment of Anorexia Nervosa (UCAN) and Uniting couples In the Treatment of Eating disorders (UNITE) both enhance recovery from the eating disorder through a couple-based intervention; the Maudsley Model of Treatment for Adults with Anorexia Nervosa (MANTRA) incorporates the support of partners, when appropriate; Parent-Based Prevention (PBP) focuses on improving parental functioning and reducing risk of negative parental and child outcomes. Finally, we discuss the clinical implications of addressing parental eating disorders and encourage more research on these families.

La transición a la paternidad se percibe como una situación estresante de la vida, cuando los padres sufren un cambio inmenso en su foco de atención psicológico y una reorientación de los roles y las responsabilidades en el sistema familiar. Este proceso puede ser aun más difícil en presencia de antecedentes de trastornos alimentarios en los padres. Este artículo analiza el efecto de los trastornos alimentarios parentales en los padres, la relación de pareja y su hijo durante el periodo perinatal. Un trastorno alimentario parental está asociado con expectativas más negativas de la eficacia parental así como con dificultades específicas en la comunicación entre la pareja sobre la alimentación, la figura y el peso del niño. Los profesionales que mejor comprendan los efectos de un trastorno alimentario en el funcionamiento parental pueden intervenir más eficazmente en etapas tempranas. También presentamos intervenciones respaldadas empíricamente basadas en la pareja o en los padres para adultos con trastornos alimentarios y sus parejas en los periodos prenatales y posnatales: la "Unión de las parejas en el tratamiento de la anorexia nerviosa" (UCAN) y la "Unión de las parejas en el tratamiento de los trastornos alimentarios" (UNITE) mejoran la recuperación del trastorno alimentario mediante una intervención basada en la pareja; el modelo Maudsley de tratamiento para adultos con anorexia nerviosa (MANTRA) incorpora el apoyo de las parejas, cuando es adecuado; la prevención basada en los padres (PBP) se centra en mejorar el funcionamiento parental y en reducir el riesgo de consecuencias negativas para los padres y los niños. Finalmente, debatimos las implicancias clínicas de abordar los trastornos alimentarios parentales y de fomentar más investigaciones sobre estas familias.

Parenting after Weight Loss Surgery: A Conceptual Model and Two Case Reports.

The ways families approach eating, shape, and weight can result in stress for individual family members and challenge the overall functioning of the family. This is further complicated among families with a parent who has history of obesity or undergone weight loss surgery (WLS). Although WLS can positively impact other family members, it can also exacerbate conflicts regarding feeding and weight. Such conflicts can involve uncertainty regarding the extent to which the entire family should make the dietary changes recommended for the post-WLS parent. Conflict might also center on the appropriate level of concern regarding the children's risk of developing (or maintaining) obesity. This paper uses two case examples to describe the application of a specialized, time-limited intervention: Parent-Based Prevention following Bariatric Surgery (PBP-B). The program was developed to address the unique challenges and concerns that arise after, or are exacerbated by, WLS. Each detailed case example illustrates a common child-feeding challenge and the employment of key PBP-B strategies throughout the course of treatment. In the first case, the parent who had undergone WLS believed the family's current eating behaviors were the same as those that had led to her own overeating, obesity, and co-occurring psychiatric symptoms, while her husband disagreed. In the second case, both parents were concerned about their son's weight, yet due to their prior eating histories, they felt unable to construct boundaries around the feeding experience. Both cases follow families through the entire intervention and illustrate key points and challenges. These cases underscore the need for novel treatment modalities to support families following parental WLS.

Las maneras en las que las familias abordan la alimentación, la figura y el peso pueden causar estrés en los integrantes individuales de la familia y poner a prueba el funcionamiento general de la familia. Esto es aun más complicado entre las familias con un padre que tiene antecedentes de obesidad o que se sometió a una cirugía para adelgazar. Aunque la cirugía para adelgazar puede repercutir de manera positiva en otros miembros de la familia, también puede exacerbar conflictos con respecto a la alimentación y al peso. Dichos conflictos pueden consistir en la incertidumbre con respecto al grado en el cual toda la familia debería hacer los cambios alimentarios recomendados para el padre que se ha operado para adelgazar. El conflicto también podría centrarse en el nivel adecuado de preocupación en relación con el riesgo de los niños de desarrollar (o mantener) la obesidad. Este artículo utiliza dos ejemplos de casos para describir la aplicación de una intervención especializada y limitada temporalmente: "La prevención basada en los padres después de una cirugía bariátrica" (Parent-Based Prevention following Bariatric Surgery, PBP-B). El programa se desarrolló para abordar los desafíos y las preocupaciones particulares que surgen después de la cirugía para adelgazar o que son exacerbados por esta. Cada ejemplo de un caso detallado ilustra un desafío común con respecto a la alimentación de los niños y al empleo de estrategias fundamentales de la PBP-B a lo largo del transcurso del tratamiento. En el primer caso, la madre que se había sometido a la cirugía para adelgazar creía que los comportamientos alimentarios actuales de la familia eran los mismos que los que la habían conducido a su propia sobreingesta, obesidad, y síntomas psiquiátricos concomitantes, mientras que su esposo no estaba de acuerdo. En el segundo caso, ambos padres estaban preocupados acerca del peso de su hijo, sin embargo, debido a sus antecedentes alimentarios previos, se sentían incapaces de establecer límites en torno a la experiencia alimentaria. Ambos casos siguen a las familias durante toda la intervención e ilustran puntos clave y desafíos. Estos casos subrayan la necesidad de incorporar modalidades innovadoras de tratamiento orientadas a apoyar a las familias después de la cirugía para adelgazar de uno de los padres.

Feasibility of conducting a randomized clinical trial using family-based treatment for avoidant/restrictive food intake disorder.

Treatments for avoidant/restrictive food intake disorder (ARFID) lack strong empirical support. There is a critical need to conduct adequately powered studies to identify effective treatments for ARFID. As a first step, the primary aim of this study was to assess the feasibility of conducting a randomized clinical trial (RCT) comparing Family-based Treatment for ARFID (FBT-ARFID) to usual care (UC). The primary outcomes were recruitment, attrition, suitability, and expectancy rates. The secondary aim was to assess changes in percent estimated body weight, eating related psychopathology, and parental self-efficacy from baseline to end of treatment/UC period in both groups. Recruitment rates were 1.87 per month; 28 children with ARFID and their families were randomized and attrition rate was 21%. Therapeutic suitability and expectancy rating suggested that FBT-ARFID was acceptable to families. Effect size (ES) differences on measures of weight and clinical severity were moderate to large, favoring FBT-ARFID over UC. Parental self-efficacy improvement also demonstrated a large ES favoring FBT-ARFID, which was correlated with improvements in ARFID symptoms. There is a research gap between our knowledge base on how to treat children with ARFID and clinical need. The data presented suggest that an RCT comparing FBT-ARFID and UC is feasible to conduct.

Applying family-based treatment (FBT) to three clinical presentations of avoidant/restrictive food intake disorder: Similarities and differences from FBT for anorexia nervosa.

OBJECTIVE: This article uses three brief case reports to illustrate how family-based treatment (FBT) can be used to treat pre-adolescents with avoidant/restrictive food intake disorder (ARFID). METHOD: We present case material illustrating how FBT can be used in three different clinical presentations of ARFID: (1) low appetite and lack of interest; (2) sensory sensitive eaters; and (3) fear of aversive consequences eaters-all without shape or weight concerns. RESULTS: This case material illustrates that the main principles of FBT-agnosticism as to the cause of the illness, externalization, emphasizing the seriousness of ARFID, parental empowerment, behavioral consultation, and practical behavioral focus-are applicable for a range of ARFID clinical presentations. Common challenges in this patient group include (1) promoting urgency; (2) challenging long term behavioral accommodation; (3) lack of parental alignment, parental fatigue, (4) and co-morbid psychiatric problems in the patients. Strategies to address these problems are described. CONCLUSION: FBT can be adapted for children with ARFID using the main principles of the approach.

Screening and offering online programs for eating disorders: Reach, pathology, and differences across eating disorder status groups at 28 U.S. universities.

OBJECTIVE: The Internet-based Healthy Body Image (HBI) Program, which uses online screening to identify individuals at low risk of, high risk of, or with an eating disorder (ED) and then directs users to tailored, evidence-based online or in-person interventions to address individuals' risk or clinical status, was deployed at 28 U.S. universities as part of a randomized controlled trial. The purpose of this study is to report on: (a) reach of HBI, (b) screen results, and (c) differences across ED status groups. METHOD: All students on participating campuses ages 18 years or older were eligible, although recruitment primarily targeted undergraduate females. RESULTS: The screen was completed 4,894 times, with an average of 1.9% of the undergraduate female student body on each campus taking the screen. ED risk in participating students was high-nearly 60% of students screened were identified as being at high risk for ED onset or having an ED. Key differences emerged across ED status groups on demographics, recruitment method, ED pathology, psychiatric comorbidity, and ED risk factors, highlighting increasing pathology and impairment in the high-risk group. DISCUSSION: Findings suggest efforts are needed to increase reach of programs like HBI. Results also highlight the increasing pathology and impairment in the high-risk group and the importance of programs such as HBI, which provide access to timely screening and intervention to prevent onset of clinical EDs.

Optimizing eating disorder treatment outcomes for individuals identified via screening: An idea worth researching.

In recent years, online screens have been commonly used to identify individuals who may have eating disorders (EDs), many of whom may be interested in treatment. We describe a new empirical approach that takes advantage of current evidence on empirically supported, effective treatments, while at the same time, uses modern statistical frameworks and experimental designs, data-driven science, and user-centered design methods to study ways to expand the reach of programs, enhance our understanding of what works for whom, and improve outcomes, overall and in subpopulations. The research would focus on individuals with EDs identified through screening and would use continuously monitored data, and interactions of interventions/approaches to optimize reach, uptake, engagement, and outcome. Outcome would be assessed at the population, rather than individual level. The idea worth researching is to determine if an optimization outcome model produces significantly higher rates of clinical improvement at a population level than do current approaches, in which traditional interventions are only offered to the few people who are interested in and able to access them.

Children of Parents with Eating Disorders.

PURPOSE OF REVIEW: Our primary goal in this article is to review recent findings (from 2015 and on) concerning children of parents with eating disorders. This review addresses the question of whether the offspring of parents with past or present eating disorders have adverse outcomes. This update is timely and informative because recent research includes controlled studies and large cohort designs and earlier reviews relied on case report evidence. RECENT FINDINGS: Despite substantial diversity in study design, sample size, and parental eating disorder definition, overall, existing research suggests that the children of parents with eating disorders exhibit compromised development: a greater risk of perinatal complications; a tendency toward extremes of growth at birth; greater problems in feeding and eating behaviors and greater incidence of eating disorder symptoms; more psychological and socioemotional difficulties; and more negative qualities to parent-child interactions. Data on children's cognitive outcomes is thus far inconsistent. Given the relatively high incidence of eating disorder history in individuals of childbearing age, research into its potential effects on children is necessary. However, the methodological shortcomings and a limited evidence base caution in drawing conclusions. Nevertheless, mental health services should address the possible problems that these children face and offer tailored programs.