It is well established that there is a substantial genetic component to eating disorders (EDs). Polygenic risk scores (PRSs) can be used to quantify cumulative genetic risk for a trait at an individual level. Recent studies suggest PRSs for anorexia nervosa (AN) may also predict risk for other disordered eating behaviors, but no study has examined if PRS for AN can predict disordered eating as a global continuous measure. This study aimed to investigate whether PRS for AN predicted overall levels of disordered eating, or specific lifetime disordered eating behaviors, in an Australian adolescent female population.

PRSs were calculated based on summary statistics from the largest Psychiatric Genomics Consortium AN genome-wide association study to date. Analyses were performed using genome-wide complex trait analysis to test the associations between AN PRS and disordered eating global scores, avoidance of eating, objective bulimic episodes, self-induced vomiting, and driven exercise in a sample of Australian adolescent female twins recruited from the Australian Twin Registry (N = 383).

After applying the false-discovery rate correction, the AN PRS was significantly associated with all disordered eating outcomes.

Findings suggest shared genetic etiology across disordered eating presentations and provide insight into the utility of AN PRS for predicting disordered eating behaviors in the general population. In the future, PRSs for EDs may have clinical utility in early disordered eating risk identification, prevention, and intervention.

DSM-5 differentiates avoidant/restrictive food intake disorder (ARFID) from other eating disorders (EDs) by a lack of overvaluation of body weight/shape driving restrictive eating. However, clinical observations and research demonstrate ARFID and shape/weight motivations sometimes co-occur. To inform classification, we: (1) derived profiles underlying restriction motivation and examined their validity and (2) described diagnostic characterizations of individuals in each profile to explore whether findings support current diagnostic schemes. We expected, consistent with DSM-5, that profiles would comprise individuals endorsing solely ARFID or restraint (i.e. trying to eat less to control shape/weight) motivations.

We applied latent profile analysis to 202 treatment-seeking individuals (ages 10–79 years [M = 26, s.d. = 14], 76% female) with ARFID or a non-ARFID ED, using the Nine-Item ARFID Screen (Picky, Appetite, and Fear subscales) and the Eating Disorder Examination-Questionnaire Restraint subscale as indicators.

A 5-profile solution emerged: Restraint/ARFID-Mixed (n = 24; 8% [n = 2] with ARFID diagnosis); ARFID-2 (with Picky/Appetite; n = 56; 82% ARFID); ARFID-3 (with Picky/Appetite/Fear; n = 40; 68% ARFID); Restraint (n = 45; 11% ARFID); and Non-Endorsers (n = 37; 2% ARFID). Two profiles comprised individuals endorsing solely ARFID motivations (ARFID-2, ARFID-3) and one comprising solely restraint motivations (Restraint), consistent with DSM-5. However, Restraint/ARFID-Mixed (92% non-ARFID ED diagnoses, comprising 18% of those with non-ARFID ED diagnoses in the full sample) endorsed ARFID and restraint motivations.

The heterogeneous profiles identified suggest ARFID and restraint motivations for dietary restriction may overlap somewhat and that individuals with non-ARFID EDs can also endorse high ARFID symptoms. Future research should clarify diagnostic boundaries between ARFID and non-ARFID EDs.

Machine learning could predict binge behavior and help develop treatments for bulimia nervosa (BN) and alcohol use disorder (AUD). Therefore, this study evaluates person-specific and pooled prediction models for binge eating (BE), alcohol use, and binge drinking (BD) in daily life, and identifies the most important predictors.

A total of 120 patients (BN: 50; AUD: 51; BN/AUD: 19) participated in an experience sampling study, where over a period of 12 months they reported on their eating and drinking behaviors as well as on several other emotional, behavioral, and contextual factors in daily life. The study had a burst-measurement design, where assessments occurred eight times a day on Thursdays, Fridays, and Saturdays in seven bursts of three weeks. Afterwards, person-specific and pooled models were fit with elastic net regularized regression and evaluated with cross-validation. From these models, the variables with the 10% highest estimates were identified.

The person-specific models had a median AUC of 0.61, 0.80, and 0.85 for BE, alcohol use, and BD respectively, while the pooled models had a median AUC of 0.70, 0.90, and 0.93. The most important predictors across the behaviors were craving and time of day. However, predictors concerning social context and affect differed among BE, alcohol use, and BD.

Pooled models outperformed person-specific models and the models for alcohol use and BD outperformed those for BE. Future studies should explore how the performance of these models can be improved and how they can be used to deliver interventions in daily life.

Timely intervention is beneficial to the effectiveness of eating disorder (ED) treatment, but limited capacity within ED services means that these disorders are often not treated with sufficient speed. This service evaluation extends previous research into guided self-help (GSH) for adults with bulimic spectrum EDs by assessing the feasibility, acceptability, and preliminary effectiveness of virtually delivered GSH using videoconferencing.

Patients with bulimia nervosa (BN), binge eating disorder (BED) and other specified feeding and eating disorders (OSFED) waiting for treatment in a large specialist adult ED out-patient service were offered virtually delivered GSH. The programme used an evidence-based cognitive behavioural self-help book. Individuals were supported by non-expert coaches, who delivered the eight-session programme via videoconferencing.

One hundred and thirty patients were allocated to a GSH coach between 1 September 2020 and 30 September 2022; 106 (82%) started treatment and 78 (60%) completed treatment. Amongst completers, there were large reductions in ED behaviours and attitudinal symptoms, measured by the ED-15. The largest effect sizes for change between pre- and post-treatment were seen for binge eating episode frequency (d = –0.89) and concerns around eating (d = –1.72). Patients from minoritised ethnic groups were over-represented in the non-completer group.

Virtually delivered GSH is feasible, acceptable and effective in reducing ED symptoms amongst those with bulimic spectrum disorders. Implementing virtually delivered GSH reduced waiting times, offering a potential solution for long waiting times for ED treatment. Further research is needed to compare GSH to other brief therapies and investigate barriers for patients from culturally diverse groups.

From a global perspective, eating disorders are increasingly common, probably because of societal transformation and improved detection. However, research on the impact of migration on the development of eating disorders is scarce, and previously reported results are conflicting.

To explore if eating disorder symptom prevalence varies according to birth region, parents’ birth region and neighbourhood characteristics, and analyse if the observed patterns match the likelihood of being in specialist treatment.

This study uses data from a large population-based health survey (N = 47 662) among adults in Stockholm, Sweden. A general linear model for complex samples, including adjustment for gender and age, was used to explore self-reported eating disorder symptoms. Odds ratios were calculated for individual symptoms.

Eating disorder symptoms are substantially more common in individuals born abroad, especially for migrants from a non-European country. This holds true for all surveyed symptoms, including restrictive eating (odds ratio 5.5, 95% CI 4.5–6.7), compensatory vomiting (odds ratio 6.1, 95% CI 4.6–8.0), loss-of-control eating (odds ratio 2.6, 95% CI 2.3–3.1) and preoccupation with food (odds ratio 2.3, 95% CI 1.9–2.8). Likewise, symptoms are more common in individuals with both parents born abroad and individuals living in districts with a high percentage of migrant residents. A gap exists between district-level symptom scores and the likelihood of being in specialist eating disorder treatment.

These findings call for oversight of current outreach strategies, and highlight the need for efforts to reduce stigma and increase eating disorder symptom recognition in broader groups.

No significant relationships.

During the last 30 years, many studies have shown a high prevalence of substance use among patients diagnosed with an Eating Disorder (ED). Almost 50% of the patients with ED have a history of substance use, and 35% of the patients that seek help for an addiction disorder also meet criteria for ED. Nevertheless, both substance abuse specialists and pratictioners with expertise in ED have difficulties in treating these dually diagnosed patients.

The aim of this study is to emphasize the importance of assessing substance use in patients with ED and disturbed eating behaviors in patients with Substance Use Disorders (SUD), as well as the need for evidence-based treatment guidelines for this comorbid condition.

A literature search of published articles on substance use patterns in ED and on the therapeutic approach for this comorbid condition was performed on PubMed database.

A diagnosis of Bulimia Nervosa and the presence of binging/ purging behaviors are strongly associated with substance use. Most frequently used substances are represented by nicotine, caffeine and alcohol, followed by cannabis and amphetamines. Reasons why patients with ED use substances are emotional regulation and appetite suppression. Detailed and systematic evaluation of the substances used and for other psychiatric comorbidities is mandatory. Management plan involves simultaneously treating ED and SUD.

The comorbidity of Substance Use Disorders and Eating Disorders is a complex entity, but nonetheless treatable. Further studies are needed to specify the patterns of substance use in Eating Disorders and their implications for treatment.

No significant relationships.

Bulimia Nervosa (BN) is a debilitating eating disorder characterized by binging and purging episodes generally accompanied by excessive concern with body weight and shape as well as body image disturbance. BN and Borderline Personality Disorder (BPD) may co-occur. In fact, studies estimate that one quarter to one third of patients with BN also meet criteria for BPD. However not much is known about the relationship between these two diseases. Nevertheless, the high comorbidity rate might not be surprising as both BN and BPD may share interacting aetiologies and common core symptoms such as impulsivity and emotional instability. So far, only very little is known about the clinical presentation of patients with both BN and BPD and their response to treatment.

Literature review on BN and comorbid BPD. An illustrative clinical case is presented.

Case report and non-systematic review of the literature - sources obtained through search on Pubmed.gov database.

Female, 19-year-old, student, lived with her mother and stepfather. Developed a poor relationship with her body image due to dental problems during high school. The patient started to binge eat, exhibit compensatory behaviors, restrictive eating pattern, body dissatisfaction and emotional instability while maintaining a normal BMI. Over the last year, she started a self-destructive behavior with slight improvement of BN symptoms.

Special attention should be given to patients suffering from BN and comorbid BPD as they present greater risk of recurrent suicide attempts and non-suicidal self-injury, as well as lower rates of remission. Early interventions that target impulsivity and problematic eating behavior may mitigate risk of future borderline personality features.

No significant relationships.

To advance knowledge regarding the etiology of eating disorders, we characterized the sequencing of eating disorder symptom emergence for adolescent girls who subsequently developed anorexia nervosa (AN), bulimia nervosa (BN), binge eating disorder (BED), and purging disorder (PD) for community-recruited adolescents and tested whether prodromal symptoms increased risk for future onset of each eating disorder.

Data collected from adolescent girls (N = 496; M age = 13.02, s.d. = 0.73) who completed a diagnostic interview annually over an 8-year period were used to address these aims.

For all four eating disorders, compensatory weight-control behaviors were the first behavioral symptom to emerge and weight/shape overvaluation was the first cognitive symptom to emerge. Moreover, lower-than-expected BMI predicted future AN onset, binge eating and all cognitive symptoms predicted future BN onset, weight/shape overvaluation predicted future BED onset, and compensatory behavior and all cognitive symptoms predicted future PD onset. These predictive effects were small-to-large in magnitude. Collectively, prodromal symptoms predicted an eating disorder onset with 83–87% accuracy.

Results suggest that compensatory weight-control behaviors and weight/shape overvaluation typically emerge before other prodromal symptoms in all eating disorders during adolescence. Moreover, different prodromal symptoms seem to predict future onset of different eating disorders. Screening adolescent girls for these prodromal symptoms and implementing indicated prevention programs designed to reduce these symptoms may prove effective in preventing future onset of eating disorders.

Empirically validated digital interventions for recurrent binge eating typically target numerous hypothesized change mechanisms via the delivery of different modules, skills, and techniques. Emerging evidence suggests that interventions designed to target and isolate one key change mechanism may also produce meaningful change in core symptoms. Although both ‘broad’ and ‘focused’ digital programs have demonstrated efficacy, no study has performed a direct, head-to-head comparison of the two approaches. We addressed this through a randomized non-inferiority trial.

Participants with recurrent binge eating were randomly assigned to a broad (n = 199) or focused digital intervention (n = 199), or a waitlist (n = 202). The broad program targeted dietary restraint, mood intolerance, and body image disturbances, while the focused program exclusively targeted dietary restraint. Primary outcomes were eating disorder psychopathology and binge eating frequency.

In intention-to-treat analyses, both intervention groups reported greater improvements in primary and secondary outcomes than the waitlist, which were sustained at an 8-week follow-up. The focused intervention was not inferior to the broad intervention on all but one outcome, but was associated with higher rates of attrition and non-compliance.

Focused digital interventions that are designed to target one key change mechanism may produce comparable symptom improvements to broader digital interventions, but appear to be associated with lower engagement.