There is an urgent need to improve early accessibility to psychoeducational interventions for informal caregivers of individuals with eating disorders (EDs). We adapted the BREF programme, a short, single-family, psycho-educational intervention originally developed for caregivers in severe mental disorders, to EDs (BREF-ED) and assessed at diagnosis announcement. We hypothesised that it has a good acceptability and effectiveness in reducing short-term caregivers’ self-reported levels of burden and depressive symptoms.

Data of caregivers who participated in the BREF-ED programme were analysed. Adherence, satisfaction, and perceived usefulness were evaluated. Changes in self-reported burden and depression symptoms were measured pre-, post-, and 3 months after the intervention using the Zarit Burden Interview (ZBI) and Center for Epidemiological Studies – Depression scale (CES-D).

Of the 53 caregivers included in the study, 52 participants completed the BREF-ED programme. As compared to baseline, ZBI scores showed a significant reduction after the intervention (Cohen’s d = 0.61, p < 0.001), and at the 3-month assessment (Cohen’s d = 0.62, p < 0.001). The CES-D scores also significantly decreased by the end of the third session (Cohen’s d = 0.83, p < 0.001) and at the 3-month follow-up (Cohen’s d = 0.77, p < 0.001). Satisfaction scores were high, with 90.1% of participants reporting being “very satisfied” and 9.9% “satisfied.”

Preliminary findings demonstrated high adherence rates, caregiver satisfaction, and a positive impact on burden and related depressive symptoms immediately after the programme and at short-term follow-up. This time- and resource-efficient programme has the potential for easy dissemination.

Anorexia nervosa (AN) is often regarded as ‘difficult to treat’. This may in part be due to co-occurring diagnoses and traits that are less directly targeted either at the point of formulation or in treatment. Schema therapy may be suitable for individuals with AN who have not benefited from first-line interventions. It offers a schema formulation and change techniques that target broader characterological ways of being. However, schema therapy is typically 18 months duration or longer, and therefore not well-suited to services with resource constraints. We present a schema-informed cognitive behavioural therapy (CBT) approach for AN, based on a formulation that encapsulates the experience of chronic unmet emotional need and which uses cognitive and behavioural techniques to target schema and schema mode change over a relatively brief treatment. We argue that the experiential techniques of schema therapy can augment the change process for those with AN, by gradually turning up the ‘emotional heat’ and increasing tolerance for emotion. After outlining this proposed model, we present findings from a case series of n=11 patients with AN or atypical AN. All patients had received first-line eating disorder treatment(s) previously and n=8/11 had prior experience of day or in-patient treatment. Results supported the acceptability and feasibility of schema-informed CBT for AN: no patients discontinued treatment early, mean number of sessions was 31 (SD 10.28), and patient satisfaction was high. Improvements were seen in AN psychopathology, depression/anxiety, schemas and schema modes, mostly with medium effect sizes. We propose areas for future research and consideration.

1. (1) To understand the rationale for a schema-informed CBT approach for anorexia nervosa.

2. (2) To understand the key components of schema-informed CBT for anorexia nervosa, including treatment objectives, stages of treatment and core methods.

3. (3) To evaluate the empirical evidence for schema-informed CBT with anorexia nervosa.

4. (4) To critically reflect on future opportunities for research and clinical practice with schema-informed CBT and eating disorders.

Considering the high likelihood of chronicity, it is imperative to understand the risk factors and outcomes associated with severe anorexia nervosa (AN), for which Danish registers provide a unique opportunity. We developed a measure of AN severity adapted from clinical literature for use in register-based research.

The study population included all Danish individuals born between 1963 and 2007 who were diagnosed with AN from 1969 to 2013. Using register data, we constructed the anorexia nervosa register-based severity index (AN-RSI), incorporating early or late illness onset, number of inpatient admissions and outpatient treatments, cumulative treatment length, and illness duration, each weighted based on clinical importance. Associations between AN-RSI scores, evaluated 5 years after first AN diagnosis, and mortality were estimated using survival analysis.

Among 9167 individuals diagnosed with AN, 132 died during follow-up: 17 from AN, 30 from suicide, and 85 from other causes. Higher AN-RSI scores were associated with increased rates of mortality from AN, somatic anorexia diagnosis, suicide, alcohol-related causes, and any cause. AN cases who scored in the top 20% of AN-RSI had especially high mortality rates. Furthermore, severe AN cases were also more likely to be in treatment in the next 5 years after severity was established.

AN-RSI effectively captures mortality and long-term treatment in the absence of detailed patient records and is associated with later mortality in AN patients. AN-RSI could serve as a tool to examine epidemiological and genetic risk factors associated with AN course and outcomes.

DSM-5 specifies bulimia nervosa (BN) severity based on specific thresholds of compensatory behavior frequency. There is limited empirical support for such severity groupings. Limited support could be because the DSM-5’s compensatory behavior frequency cutpoints are inaccurate or because compensatory behavior frequency does not capture true underlying differences in severity. In support of the latter possibility, some work has suggested shape/weight overvaluation or use of single versus multiple purging methods may be better severity indicators. We used structural equation modeling (SEM) Trees to empirically determine the ideal variables and cutpoints for differentiating BN severity, and compared the SEM Tree groupings to alternate severity classifiers: the DSM-5 indicators, single versus multiple purging methods, and a binary indicator of shape/weight overvaluation.

Treatment-seeking adolescents and adults with BN (N = 1017) completed self-report measures assessing BN and comorbid symptoms. SEM Trees specified an outcome model of BN severity and recursively partitioned this model into subgroups based on shape/weight overvaluation and compensatory behaviors. We then compared groups on clinical characteristics (eating disorder symptoms, depression, anxiety, and binge eating frequency).

SEM Tree analyses resulted in five severity subgroups, all based on shape/weight overvaluation: overvaluation <1.25; overvaluation 1.25–3.74; overvaluation 3.75–4.74; overvaluation 4.75–5.74; and overvaluation ≥5.75. SEM Tree groups explained 1.63–6.41 times the variance explained by other severity schemes.

Shape/weight overvaluation outperformed the DSM-5 severity scheme and single versus multiple purging methods, suggesting the DSM-5 severity scheme should be reevaluated. Future research should examine the predictive utility of this severity scheme.

Weight suppression represents the difference between highest and current body weight and predicts maintenance of bulimia nervosa and related syndromes (BN-S). This study tested a biobehavioral model of binge-eating severity in which greater weight suppression links to reduced leptin, which links to reduced glucagon-like peptide 1 (GLP-1) release, which links to both decreased reward satiation and increased reward valuation, which link, respectively, to excessive food intake and loss of control while eating – the defining features of DSM-5 binge-eating episodes.

Women (N = 399) who met DSM-5 criteria for bulimia nervosa or another eating disorder with binge eating (n = 321) or had no lifetime eating disorder symptoms (n = 78) participated in a multi-visit protocol, including structured clinical interviews, height, weight, weight history, percent body fat, fasting leptin, post-prandial GLP-1 response to a fixed meal, and self-report and behavioral assessments of food reward satiation (ad lib meal) and food and nonfood reward valuation (progressive ratio tasks).

A structural equation model (SEM) demonstrated excellent fit to data with significant pathways from greater weight suppression to lower leptin, to blunted GLP-1 response, to lower reward satiation, to larger eating/binge-eating episode size, with significant indirect paths through leptin, GLP-1, and reward satiation. SEM with paths via reward valuation to loss of control eating demonstrated inadequate fit.

Findings specifically link reduced GLP-1 response to severity of binge-episode size and support weight history assessment in eating disorders, DSM-5 over ICD-11 criteria for binge eating, and may inform future clinical trials of GLP-1 agonists for BN-S.

Low-income, publicly insured youth face numerous barriers to adequate mental health care, which may be compounded for those with multiple marginalized identities. However, no research has examined how identity and diagnosis may interact to shape the treatment experiences of under-resourced youth with psychiatric conditions. Applying an intersectional lens to treatment disparities is essential for developing targeted interventions to promote equitable care.

Analyses included youth ages 7–18 with eating disorders (EDs; n = 3,311), mood/anxiety disorders (n = 3,219), or psychotic disorders (n = 3,035) enrolled in California Medicaid. Using state billing records, we examined sex- and race and ethnicity-based disparities in receipt of core services – outpatient therapy, outpatient medical care, and inpatient treatment – in the first year after diagnosis and potential differences across diagnostic groups.

Many youth (50.7% across diagnoses) received no outpatient therapy, and youth with EDs were least likely to receive these services. Youth of color received fewer days of outpatient therapy than White youth, and Latinx youth received fewer therapy and medical services across outpatient and inpatient contexts. Sex- and race and ethnicity-based disparities were especially pronounced for youth with EDs, with particularly low levels of service receipt among boys and Latinx youth with EDs.

Results raise concerns for unmet treatment needs among publicly insured youth, which are exacerbated for youth with multiple marginalized identities and those who do not conform to historical stereotypes of affected individuals (e.g., low-income boys of color with EDs). Targeted efforts are needed to ensure equitable care.

Research on mortality and admissions for physical health problems across eating disorder diagnoses in representative settings is scarce. Inequalities in these outcomes across a range of sociodemographic characteristics have rarely been investigated.

We investigated whether people with eating disorders had greater all-cause mortality and physical health-related in-patient admissions compared with those without eating disorders, and whether associations varied by sex, ethnicity, deprivation, age and calendar year at diagnosis.

Using primary care Clinical Research Practice Datalink linked to Hospital Episode Statistics, we matched people with an incident eating disorder diagnosis (any, anorexia nervosa, bulimia nervosa, eating disorders not otherwise specified, generic eating disorder or a referral code) from primary care Read codes to four people without eating disorders (1:4 matching) on year of birth, sex, primary care practice, year of registration and index date. We used univariable and multivariable Cox (mortality) and Poisson (admissions) models, and fitted interactions to investigate whether associations varied by sociodemographic characteristics.

We included 58 735 people (90.1% female, 91.6% White). People with any eating disorders had higher all-cause mortality (hazard ratio: 2.15, 95% CI: 1.73–2.67). Anorexia nervosa had the highest mortality (hazard ratio: 3.49, 95% CI: 2.43–5.01). People with any eating disorders had higher rates of planned (incidence rate ratio (IRR): 1.80, 95% CI: 1.4–1.87) and emergency admissions for physical health problems (IRR: 2.35. 95% CI: 2.35–2.46) and emergency admissions for injuries, accidents and substance misuse (IRR: 5.26, 95% CI: 5.24–5.29). Mortality and admission rate ratios were greater in males.

People with eating disorders have high rates of mortality and physical health-related admissions. Observed inequalities call for an understanding of why such inequalities exist. These findings highlight the need for prompt and effective treatment for eating disorders, and for improved guidance on primary care management of people with eating disorders.

Eating disorders and psychotic disorders represent two of the most serious psychiatric conditions. Emerging lines of evidence from genetic and epidemiological studies suggest that these disorders may commonly co-occur. This systematic review investigated the association between these disorders across community and clinical populations.

A systematic review was preregistered (CRD42021231771) and conducted according to PRISMA guidelines. Web of Science, PsycINFO and Medline were searched for articles on the association and comorbidity between psychosis and eating disorders up to the 26th February 2024. A random effects meta-analysis was conducted for studies reporting comorbidity of eating disorders and psychotic disorders based on clinical diagnosis or interview measures, to estimate prevalence of the comorbidity between these disorders. A narrative synthesis was conducted for all other studies and grouped by sample (general population, eating disorders or psychotic disorders).

In total 43 studies met inclusion criteria for the systematic review and 16 were included in the meta-analysis. Findings suggest substantial comorbidity between eating disorders and psychotic disorders, with a pooled comorbidity prevalence of 8% (CI: 3, 14) based on clinical diagnosis or interview measures. Studies using self-report questionnaires also highlight the association between eating disorders and psychosis across clinical and community populations.

Eating disorders and psychotic disorders frequently co-occur. Further research should investigate the temporal order of symptom development and consider the need for novel interventions targeted at overlapping psychotic and eating disorder symptoms and associated phenomena.

Binge-eating disorder (BED) is characterized by highly distressing episodes of loss-of-control over-eating. We have examined the use of repetitive transcranial magnetic stimulation (rTMS) for the treatment of people with BED and associated obesity. Such non-invasive brain stimulation (NIBS) techniques are used therapeutically in several psychiatric conditions and there is an associated scientific rationale.

Sixty participants were randomly allocated to receive 20 sessions of neuronavigated 10 Hz rTMS administered to the left dorsolateral prefrontal cortex (dlPFC) or sham treatment. Primary outcomes were the frequency of binge eating episodes (BEE) and the ‘urge to eat’ (craving) evaluated at baseline and end-of-treatment (8 weeks post-randomization). Secondary outcomes included body mass index (BMI), hunger, general and specific eating disorder psychopathology. Follow-up analyses were conducted for most outcomes at 16 weeks post-randomization. Multilevel models were used to evaluate group, time, and group-by-time interactions for the association between rTMS exposure and outcomes.

The real rTMS group (compared with sham treatment), showed a significantly greater decrease in the number of BEE at the end of treatment (Estimated Mean [EM]: 2.41 95% CI: 1.84–3.15 versus EM: 1.45 95% CI: 1.05–1.99, p = 0.02), and at follow-up (EM: 3.79 95% CI: 3–4.78 versus EM: 2.45 95% CI: 1.88–3.17, p = 0.02; group × time interaction analysis p = 0.02). No group differences were found for other comparisons.

rTMS was associated with reduced BEE during and after treatment: it suggests rTMS is a promising intervention for BED.

Involuntary treatment for patients with anorexia nervosa is common and lifesaving, but also highly intrusive. Understanding how morbidity patterns relate to involuntary treatment can help minimise its use.

We estimate the relative risk of involuntary treatment according to morbidity profiles in patients with anorexia nervosa.

This register-based cohort study included all individuals diagnosed with anorexia nervosa (ICD-10: F50.0, F50.1) between 1 January 2000 and 31 December 2016 in Denmark. Individuals were grouped by prior morbidities using latent class analysis (LCA). Cox proportional hazards regression estimated the relative risk of first involuntary treatment (e.g. involuntary admission, detention, locked wards) after a diagnosis with anorexia nervosa, regardless of the associated diagnosis. The relative risk of involuntary treatment was estimated with latent classes and the number of morbidities as exposure.

A total of 9892 individuals with anorexia nervosa were included (93.3% female), of which 821 (8.3%) individuals experienced at least one involuntary treatment event. The LCA produced six classes, with distinct morbidity profiles. The highest hazard ratio was observed for a group characterised by personality disorders, self-harm and substance misuse (hazard ratio 4.46, 95% CI: 3.43–5.79) followed by a high burden group with somatic and psychiatric disorders (hazard ratio 3.96, 95% CI: 2.81–5.59) and a group with developmental and behavioural disorders (hazard ratio 3.61, 95% CI: 2.54–5.11). The relative risk of involuntary treatment increased primarily with the number of psychiatric morbidities.

Specific morbidity groups are associated with highly elevated risk of involuntary treatment among patients with anorexia nervosa. Targeting preventive interventions to high-risk groups may help reduce the need for involuntary treatment.

As the use of guided digitally-delivered cognitive-behavioral therapy (GdCBT) grows, pragmatic analytic tools are needed to evaluate coaches’ implementation fidelity.

We evaluated how natural language processing (NLP) and machine learning (ML) methods might automate the monitoring of coaches’ implementation fidelity to GdCBT delivered as part of a randomized controlled trial.

Coaches served as guides to 6-month GdCBT with 3,381 assigned users with or at risk for anxiety, depression, or eating disorders. CBT-trained and supervised human coders used a rubric to rate the implementation fidelity of 13,529 coach-to-user messages. NLP methods abstracted data from text-based coach-to-user messages, and 11 ML models predicting coach implementation fidelity were evaluated.

Inter-rater agreement by human coders was excellent (intra-class correlation coefficient = .980–.992). Coaches achieved behavioral targets at the start of the GdCBT and maintained strong fidelity throughout most subsequent messages. Coaches also avoided prohibited actions (e.g. reinforcing users’ avoidance). Sentiment analyses generally indicated a higher frequency of coach-delivered positive than negative sentiment words and predicted coach implementation fidelity with acceptable performance metrics (e.g. area under the receiver operating characteristic curve [AUC] = 74.48%). The final best-performing ML algorithms that included a more comprehensive set of NLP features performed well (e.g. AUC = 76.06%).

NLP and ML tools could help clinical supervisors automate monitoring of coaches’ implementation fidelity to GdCBT. These tools could maximize allocation of scarce resources by reducing the personnel time needed to measure fidelity, potentially freeing up more time for high-quality clinical care.