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This pilot study adapted family-based treatment (FBT) for youth with potentially prodromal anorexia nervosa (AN). Fifty-nine youth with clinically significant AN symptom constellations, but who never met full Diagnostic and Statistical Manual of Mental Disorders (4th ed., text rev.) (DSM-IV) criteria for AN, were enrolled in a partially randomized preference design study. Participants were offered randomization to FBT or supportive psychotherapy (SPT); those who declined to be randomized because of a strong treatment preference were entered into a parallel, non-randomized self-selected intervention study. Without accessing outcome data, an observational analysis with three diagnostic subclasses was designed based on AN symptom severity profiles, combining randomized and non-randomized participants, such that participants receiving FBT and SPT within each subclass were similar on key baseline characteristics. Outcomes of this pilot study were explored by calculating effect sizes for end-of-treatment values within each subclass, and also with a longitudinal mixed effect model that accounted for subclass. Weight trajectory was measured by percent expected body weight. Psychological outcomes were fear of weight gain, feeling fat, importance of weight, and importance of shape. Results show that the pattern of symptom observations over time was dependent on subclass of SAN (least symptomatic, moderately symptomatic, or most symptomatic) and on the target outcome variable category (weight or psychological). Results from this study, which should be considered in the context of the small sample sizes overall and within groups, can generate hypotheses for future, larger research trials on early treatment strategies. Feasibility findings illustrate how the innovative partially randomized preference design has potential broader application for AN intervention research.Clinical trial registrationClinicalTrials.gov, identifier NCT00418977.

Objective: This study examined the associations between insomnia, anxiety, and depression in college women with eating disorders (EDs). Participants: Six hundred and ninety women from 28 US colleges who screened positive for an ED were assessed for psychiatric comorbidities. Women were, on average, 22.12 years old, mostly White (60.1%) and undergraduates (74.3%). Methods: Two mediation models were tested to determine if depression and/or anxiety mediated the relationship between insomnia and ED symptomatology. Results: One-fifth of the sample (21.7%) reported clinically moderate and severe levels of insomnia. Both depression (B = 0.13, p < 0.001) and anxiety (B = 0.13, p < 0.001) significantly mediated the relationship between insomnia and ED psychopathology. Conclusions: Insomnia is relatively common in college-age women with EDs. Findings suggest that this association between ED and sleep disturbances can be explained, in part, by changes in depression and anxiety. Clinicians should consider incorporating mental health assessments for insomnia, depression, and anxiety into current ED prevention, intervention, and screening efforts on college campuses.

While there have been important recent advances in the development of effective universal prevention and intervention programs, it is not yet clear how to engage large numbers of students in these programs. In this paper, we report findings from a two-phase pilot study. In the first phase, we used a population-level, online survey to assess eating disorder symptom level and habits/attitudes related to service utilization (N=2180). Using validated screening tools, we found that roughly one in three students has significant symptoms of eating disorders or elevated weight concerns, the vast majority of whom (86.5%) have not received treatment. In the second phase, we referred students to online prevention and selective/indicated intervention programs based on symptom classification (N=1916). We find that program enrollment is highest for students in the indicated intervention (18.1%) and lowest for students in the universal prevention (4.1%). We find that traditionally-emphasized barriers such as stigma, misinformation, and financial limitations do not appear to be the most important factors preventing treatment-seeking. Rather students report not seeking help for reasons such as lack of time, lack of perceived need, and a desire to deal with the issue "on my own." Findings offer insight into the treatment-seeking habits and attitudes of college students, including those barriers that may be overcome by offering online programs and those that persist despite increased access to and convenience of relevant resources.

Objective: As eating disorders (EDs) often emerge during college, managing EDs would ideally integrate prevention and treatment. To achieve this goal, an efficient tool is needed that detects clinical symptoms and level of risk. This study evaluated the performance of a screen designed to identify individuals at risk for or with an ED. Participants: Five hundred forty-nine college-age women. Methods: Participants completed a screen and diagnostic interview. Results: Using parsimonious thresholds for ED diagnoses, screen sensitivity ranged from 0.90 (anorexia nervosa) to 0.55 (purging disorder). Specificity ranged from 0.99 (anorexia nervosa) to 0.78 (subthreshold binge eating disorder) compared to diagnostic interview. Moderate to high area under the curve values were observed. The screen had high sensitivity for detecting high risk. Conclusions: The screen identifies students at risk and has acceptable sensitivity and specificity for identifying most ED diagnoses. This tool is critical for establishing stepped care models for ED intervention.

Objective: We developed a chatbot aimed to facilitate mental health services use for eating disorders (EDs) and offered the opportunity to enrol in a research study and use the chatbot to all adult respondents to a publicly available online ED screen who screened positive for clinical/subclinical EDs and reported not currently being in treatment. We examined the rates and correlates of enrolment in the study and uptake of the chatbot. Method: Following screening, eligible respondents (≥18 years, screened positive for a clinical/subclinical ED, not in treatment for an ED) were shown the study opportunity. Chi‐square tests and logistic regressions explored differences in demographics, ED symptoms, suicidality, weight, and probable ED diagnoses between those who enroled and engaged with the chatbot versus those who did not. Results: 6747 respondents were shown the opportunity (80.0% of all adult screens). 3.0% enroled, of whom 90.2% subsequently used the chatbot. Enrolment and chatbot uptake were more common among respondents aged ≥25 years old versus those aged 18–24 and less common among respondents who reported engaging in regular dietary restriction. Conclusions: Overall enrolment was low, yet uptake was high among those that enroled and did not differ across most demographics and symptom presentations. Future directions include evaluating respondents' attitudes towards treatment‐promoting tools and removing barriers to uptake. Highlights: Overall enrolment in the study opportunity was low, suggesting that novel implementation strategies are needed to drive use of treatment‐promoting chatbots. However, chatbot uptake was high among those that enroled.Study enrolment and chatbot uptake did not differ across most demographics and symptom presentations.Study enrolment and chatbot uptake was more common among respondents aged ≥25 years old versus those aged 18–24 and less common among respondents who reported engaging in regular dietary restriction. [ABSTRACT FROM AUTHOR]

Highlights: In response to a comment on our recent article, this paper highlights that the goal of our chatbot was to reach individuals with eating disorders who are not engaged with traditional mental health services using a scalable digital screening and intervention approach.We describe our rationale for the lack of clinical assessments in our study, namely, the importance of conducting digital mental health research under real‐world conditions and the need to reduce barriers to research participation for individuals in need of treatment for eating disorders.We emphasise the substantial public health impact that a chatbot, like the one we developed and evaluated, could have for increasing treatment‐seeking and uptake among adults with eating disorders and encourage researchers to consider study designs that are conducted under real‐world conditions. [ABSTRACT FROM AUTHOR]

Momentary intervention has been proposed as a cost-effective, generalizable, and ecologically valid method to increase the efficiency of face-to-face cognitive-behavioral therapy (CBT). The purpose of the current pilot study was to evaluate the efficacy of a six-session palmtop computer-assisted Group CBT for generalized anxiety disorder (GAD) (CAGT6) in comparison with a six-session Group CBT for GAD without the computer (CBGT6) and typical (12 session) Group CBT for GAD (CBGT12) in a randomized controlled trial. Thirty-four individuals with a primary diagnosis of GAD were randomized to one of the three conditions and completed measures of GAD and anxiety before therapy, after therapy, and at 6-, and 12-month follow-ups. Results indicated that CAGT6 was superior to CBGT6 at posttreatment, but not significantly different from CBGT12. At 6- and 12-month follow-ups, CAGT6 was neither significantly different from CBGT6, nor from CBGT12. Percentages of individuals achieving reliable change on two of the three GAD measures favored CAGT6 over CBGT6 at posttreatment, suggesting promise for the added value of the mobile technology.

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.

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. Chi-square tests and t-tests compared demographics, eating disorder attitudes and behaviors, suicidal ideation, current eating disorder treatment status, and eating disorder treatment-seeking intentions between respondents with possible ARFID and other eating disorder diagnostic and risk categories. Clinical characteristics of respondents with possible ARFID were also examined. Results: 2378 (4.7%) adult respondents screened positive for ARFID. Respondents with possible ARFID tended to be younger, male, and have lower household income, and were less likely to be White and more likely to be Hispanic/Latino than most other diagnostic/risk groups. They had lower weight/shape concerns and eating disorder behaviors than most other diagnoses and higher BMI than those with AN. 35% reported suicidal ideation, 47% reported intentions to seek treatment for an eating disorder, and 2% reported currently being in treatment. The most common clinical feature of ARFID was lack of interest in eating (80%), followed by food sensory avoidance (55%) and avoidance of food due to fear of aversive consequences (31%). Conclusions: Findings from this study indicated that ARFID was prevalent among adult screen respondents and more common among individuals who were younger, male, non-White, Hispanic, and lower income relative to those with other eating disorders, at risk for an eating disorder, or at low risk. Individuals with possible ARFID frequently reported suicidal ideation and were rarely in treatment for an eating disorder. Further research is urgently needed to improve advances in the assessment and treatment of ARFID and improve access to care in order to prevent prolonged illness duration. Plain English summary: This study examined data from adult respondents to a publicly available online eating disorders screen adult to examine the prevalence, clinical characteristics, and correlates of a positive ARFID screen. 4.7% of respondents screened positive for ARFID. A positive ARFID screen was more common among respondents who were younger, male, non-White, Hispanic, and lower income relative to those in other eating disorder diagnostic/risk categories. Respondents with possible ARFID frequently reported suicidal ideation and were rarely in treatment for an eating disorder. Lack of interest in food or eating was the most common clinical feature among those with possible ARFID. [ABSTRACT FROM AUTHOR]

Objective: To examine the misuse of attention-deficit/hyperactivity disorder (ADHD)-specific stimulants in a college population at high risk for or with clinical or subclinical eating disorders. Participants: Four hundred forty-eight college-age women aged 18-25 at high risk for or with a clinical or subclinical eating disorder. Methods: Participants completed assessments of stimulant misuse and psychopathology from September 2009 to June 2010. Results: Greater eating disorder pathology, objective binge eating, purging, eating disorder-related clinical impairment, depressive symptoms, perceived stress, and trait anxiety were associated with an increased likelihood of stimulant misuse. Subjective binge eating, excessive exercise, and dietary restraint were not associated with stimulant misuse. Conclusions: ADHD-specific stimulant misuse is associated with eating disorder and comorbid pathology among individuals at high risk for or with clinical or subclinical eating disorders. Screening for stimulant misuse and eating disorder pathology may improve identification of college-age women who may be engaging in maladaptive behaviors and inform prevention efforts.