Interoceptive inference and prediction in food-related disorders.

The brain's capacity to predict and anticipate changes in internal and external environments is fundamental to initiating efficient adaptive responses, behaviors, and reflexes that minimize disruptions to physiology. In the context of feeding control, the brain predicts and anticipates responses to the consumption of dietary substances, thus driving adaptive behaviors in the form of food choices, physiological preparation for meals, and engagement of defensive mechanisms. Here, we provide an integrative perspective on the multisensory computation between exteroceptive and interoceptive cues that guides feeding strategy and may result in food-related disorders.

An orexigenic subnetwork within the human hippocampus.

Only recently have more specific circuit-probing techniques become available to inform previous reports implicating the rodent hippocampus in orexigenic appetitive processing1-4. This function has been reported to be mediated at least in part by lateral hypothalamic inputs, including those involving orexigenic lateral hypothalamic neuropeptides, such as melanin-concentrating hormone5,6. This circuit, however, remains elusive in humans. Here we combine tractography, intracranial electrophysiology, cortico-subcortical evoked potentials, and brain-clearing 3D histology to identify an orexigenic circuit involving the lateral hypothalamus and converging in a hippocampal subregion. We found that low-frequency power is modulated by sweet-fat food cues, and this modulation was specific to the dorsolateral hippocampus. Structural and functional analyses of this circuit in a human cohort exhibiting dysregulated eating behaviour revealed connectivity that was inversely related to body mass index. Collectively, this multimodal approach describes an orexigenic subnetwork within the human hippocampus implicated in obesity and related eating disorders.

Changes in functional connectivity and structural covariance between the fronto-parietal network and medial orbitofrontal cortex are associated with disinhibition in restrained eaters.

Disinhibition, characterized by a loss of dietary control, is a significant risk factor for diet failure and the onset of eating disorders in restrained eaters. This study employs resting-state functional connectivity and structural covariance network analyses to explore the neural associations underlying this behavior. By analyzing functional MRI data from 63 female college students, we found that increased disinhibition correlates with enhanced functional connectivity between the medial orbitofrontal cortex and key components of the inhibition system, particularly within the fronto-parietal network. Moreover, we observed a relationship between the structural covariance of the medial orbitofrontal cortex and the inferior parietal lobule and the severity of disinhibition. Importantly, the functional connectivity between the medial orbitofrontal cortex and the inferior parietal lobule predicts the severity of binge eating symptoms in these individuals. These findings indicate that imbalances in the interaction between the brain's reward and inhibition systems can lead to dietary failures and eating disorders, emphasizing the need for targeted interventions.

From awareness to action: an urgent call to reduce mortality and improve outcomes in eating disorders.

High mortality rates and poor outcomes from eating disorders, especially anorexia nervosa, are largely preventable and require urgent action. A national strategy to address this should include prevention; early detection; timely access to integrated physical and psychological treatments; safe management of emergencies; suicide prevention; and investment in training, services and research.

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.

Using machine learning with passive wearable sensors to pilot the detection of eating disorder behaviors in everyday life.

BACKGROUND: Eating disorders (ED) are serious psychiatric disorders, taking a life every 52 minutes, with high relapse. There are currently no support or effective intervention therapeutics for individuals with an ED in their everyday life. The aim of this study is to build idiographic machine learning (ML) models to evaluate the performance of physiological recordings to detect individual ED behaviors in naturalistic settings. METHODS: From an ongoing study (Final N = 120), we piloted the ability for ML to detect an individual's ED behavioral episodes (e.g. purging) from physiological data in six individuals diagnosed with an ED, all of whom endorsed purging. Participants wore an ambulatory monitor for 30 days and tapped a button to denote ED behavioral episodes. We built idiographic (N = 1) logistic regression classifiers (LRC) ML trained models to identify onset of episodes (~600 windows) v. baseline (~571 windows) physiology (Heart Rate, Electrodermal Activity, and Temperature). RESULTS: Using physiological data, ML LRC accurately classified on average 91% of cases, with 92% specificity and 90% sensitivity. CONCLUSIONS: This evidence suggests the ability to build idiographic ML models that detect ED behaviors from physiological indices within everyday life with a high level of accuracy. The novel use of ML with wearable sensors to detect physiological patterns of ED behavior pre-onset can lead to just-in-time clinical interventions to disrupt problematic behaviors and promote ED recovery.

Shared genetic influences between eating disorders and gastrointestinal disease in a large, population-based sample of adult women and men.

BACKGROUND: Some preliminary research suggests higher rates of gastrointestinal disease in individuals with eating disorders (EDs). However, research is limited, and it remains unknown what etiologic factors account for observed associations. This was the first study to examine how EDs and dimensional ED symptoms (e.g. body dissatisfaction, binge eating) are phenotypically and etiologically associated with gastrointestinal disease in a large, population-based twin sample. METHODS: Adult female (N = 2980) and male (N = 2903) twins from the Michigan State University Twin Registry reported whether they had a lifetime ED (anorexia nervosa, bulimia nervosa, or binge-eating disorder) and completed a measure of dimensional ED symptoms. We coded the presence/absence of lifetime gastrointestinal disease (e.g. inflammatory bowel disease) based on responses to questions regarding chronic illnesses and medications. We first examined whether twins with gastrointestinal disease had higher rates of EDs and ED symptoms, then used correlated factors twin models to investigate genetic and environmental contributions to the overlap between disorders. RESULTS: Twins with gastrointestinal disease had significantly greater dimensional ED symptoms (ß = 0.21, p < 0.001) and odds of a lifetime ED (OR 2.90, p = 0.001), regardless of sex. Shared genetic factors fully accounted for the overlap between disorders, with no significant sex differences in etiologic associations. CONCLUSIONS: Comorbidity between EDs and gastrointestinal disease may be explained by overlap in genetic influences, potentially including inflammatory genes implicated in both types of disorders. Screening for gastrointestinal disease in people with EDs, and EDs in those with gastrointestinal disease, is warranted.

Change in food choice during acute treatment and the effect on longer-term outcome in patients with anorexia nervosa.

BACKGROUND: Restriction of food intake is a central pathological feature of anorexia nervosa (AN). Maladaptive eating behavior and, specifically, limited intake of calorie-dense foods are resistant to change and contribute to poor long-term outcomes. This study is a preliminary examination of whether change in food choices during inpatient treatment is related to longer-term clinical course. METHODS: Individuals with AN completed a computerized Food Choice Task at the beginning and end of inpatient treatment to determine changes in high-fat and self-controlled food choices. Linear regression and longitudinal analyses tested whether change in task behavior predicted short-term outcome (body mass index [BMI] at discharge) and longer-term outcome (BMI and eating disorder psychopathology). RESULTS: Among 88 patients with AN, BMI improved significantly with hospital treatment (p < 0.001), but Food Choice Task outcomes did not change significantly. Change in high-fat and self-controlled choices was not associated with BMI at discharge (r = 0.13, p = 0.22 and r = 0.10, p = 0.39, respectively). An increase in the proportion of high-fat foods selected (ß = 0.91, p = 0.02) and a decrease in the use of self-control (ß = -1.50, p = 0.001) predicted less decline in BMI over 3 years after discharge. CONCLUSIONS: Short-term treatment is associated with improvement in BMI but with no significant change, on average, in choices made in a task known to predict actual eating. However, the degree to which individuals increased high-fat choices during treatment and decreased the use of self-control over food choice were associated with reduced weight loss over the following 3 years, underscoring the need to focus on changing eating behavior in treatment of AN.

Investigating change in network structure of eating disorder symptoms after delivery of a smartphone app-based intervention.

BACKGROUND: Eating disorder (ED) research has embraced a network perspective of psychopathology, which proposes that psychiatric disorders can be conceptualized as a complex system of interacting symptoms. However, existing intervention studies using the network perspective have failed to find that symptom reductions coincide with reductions in strength of associations among these symptoms. We propose that this may reflect failure of alignment between network theory and study design and analysis. We offer hypotheses for specific symptom associations expected to be disrupted by an app-based intervention, and test sensitivity of a range of statistical metrics for identifying this intervention-induced disruption. METHODS: Data were analyzed from individuals with recurrent binge eating who participated in a randomized controlled trial of a cognitive-behavioral smartphone application. Participants were categorized into one of three groups: waitlist (n = 155), intervention responder (n = 49), and intervention non-responder (n = 77). Several statistical tests (bivariate associations, network-derived strength statistics, network invariance tests) were compared in ability to identify change in network structure. RESULTS: Hypothesized disruption to specific symptom associations was observed through change in bivariate correlations from baseline to post-intervention among the responder group but were not evident from symptom and whole-of-network based network analysis statistics. Effects were masked when the intervention group was assessed together, ignoring heterogeneity in treatment responsiveness. CONCLUSION: Findings are consistent with our contention that study design and analytic approach influence the ability to test network theory predictions with fidelity. We conclude by offering key recommendations for future network theory-driven interventional studies.

The diabetes body project: Study protocol of a multi-site trial of a virtually delivered eating disorder prevention program for young women with type 1 diabetes.

AIM: Young women with type 1 diabetes are a high-risk population for eating disorders (ED). Prevention programs are lacking. In young women without diabetes, the Body Project has produced reductions in ED risk factors, ED symptoms and future ED onset. Therefore, the Body Project was adapted to type 1 diabetes, the Diabetes Body Project (DBP). In this protocol, we describe the multi-site randomized controlled trial (RCT) to evaluate efficacy of the DBP. METHODS: This is an ongoing RCT with four sites (Europe and US). In total 280, 14-35 year-old, women with type 1 diabetes ≥1 year and some level of body image concerns will be recruited in 2023. Participants are randomized to either virtual DBP groups or an educational control. The study constitutes 5 measurement points distributed over 2 years. The primary aim is to test if DBP will produce significantly greater reductions in ED behaviours, ED symptoms and future ED onset. The secondary aim is to test if DBP has significantly greater improvements in diabetes distress, quality of life and glycaemic outcomes. RESULTS: We expect that DBP will be more efficacious in reducing ED behaviours, ED symptoms and ED onset compared to the control condition. Additionally, we hope to gain new knowledge on how DBP may affect diabetes-related outcomes. CONCLUSIONS: If DBP proves efficacious, it has potential for immediate, clinical implementation at low-cost and may contribute to broad prevention of future ED onset among young women with type 1 diabetes. GOV IDENTIFIER: NCT05399446.

A cognitive behavioural model of the bidirectional relationship between disordered eating and diabetes self care in adult men with Type 1 diabetes mellitus.

AIMS: This qualitative study aimed to develop the first cognitive behavioural (CBT) model outlining the development and maintenance of disordered eating in adult men living with Type 1 diabetes to improve on previous theoretical models of Type 1 diabetes and disordered eating and to draw comparisons to women with Type 1 diabetes and disordered eating. METHODS: Twenty-seven men (n = 16 with Type 1 diabetes and disordered eating, n = 11 with Type 1 diabetes without disordered eating) participated in semi-structured interviews. Data were analysed using thematic analysis and individual CBT formulations were developed for each participant to inform the model. RESULTS: Men with Type 1 diabetes and disordered eating experience negative thoughts about food, insulin, weight/shape and diabetes itself, which cause negative emotions such as fear and vulnerability and difficulties with diabetes self care such as problems with hyper and hypoglycaemia and problems accessing structured education and technology result in men feeling more dissatisfied about their body weight/shape. CONCLUSIONS: This CBT model of disordered eating in men with Type 1 diabetes can guide new interventions.

Psychometric properties of the Diabetes Eating Problem Survey-Revised among Dutch adults with type 1 diabetes and implications for clinical use.

AIMS: Disordered eating behaviour (DEB) in people with type 1 diabetes (T1D) can be screened with the Diabetes Eating Problem Survey-Revised (DEPS-R). This study aimed to investigate the psychometric properties of the DEPS-R among Dutch adults with T1D and to explore the individual items alongside the standard cut-off score of ≥20 for clinical use. METHODS: The construct validity of the DEPS-R was assessed with an exploratory factor analysis, through principal axis factoring and with Spearman correlations between clinical variables and the DEPS-R. Backward logistic regression identified clinical predictors for DEPS-R scores above the cut-off. DEPS-R item responses were summarized with frequencies, means and standard deviations. RESULTS: Participants were 145 adults with T1D, of whom 79.3% were women and 35.9% presented with DEB based on the cut-off. A single-factor solution of the DEPS-R showed good internal consistency, while a three-factor solution showed acceptable to good internal consistency within the factors. A younger age, a higher BMI and more diabetes distress were predictors for a DEPS-R cut-off score of ≥20. Clinically relevant items were identified that contributed minimally to the DEPS-R score. CONCLUSIONS: This study supports a single-factor and a three-factor structure of the DEPS-R while also suggesting an item-specific or factor-specific approach in clinical practice.

Reliability and validity of a parent-reported screening tool for disordered eating in children and young people with type 1 diabetes.

BACKGROUND: There is a high prevalence and complex overlap between type 1 diabetes (T1D) and disordered eating. However, screening for disordered eating in children and young people (CYP) with T1D is not routinely conducted, with reluctance reported by both professionals and parents. This study aimed to validate a parent-reported version of a validated disordered eating screening tool for CYP with T1D (the Diabetes Eating Problems Survey-Revised; DEPS-R). METHODS: The existing DEPS-R was adapted for parental use. Eighty-nine parents of CYP with T1D aged 11-14 years completed the parent-reported DEPS-R and other questionnaires related to demographics, child eating behaviours and parental well-being. CYP of parents were invited to participate, with 51 CYP completing the validated CYP-reported DEPS-R for comparison. RESULTS: The parent-reported DEPS-R demonstrated good internal consistency (Cronbach's α = 0.89). Moderate to good inter-rater reliability was found between the parent-reported DEPS-R and CYP-reported DEPS-R (ICC 0.746, 95% CI = 0.554-0.855, p < 0.001), indicating good convergent validity. Construct validity with hypothesised variables, including specific eating behaviours, diabetes-related distress, well-being, CYP BMI, gender and parental worry about CYP disordered eating, suggested validity of the measure. However, some hypothesised variables did not significantly correlate with the parent-reported DEPS-R as expected. CONCLUSIONS: The parent-reported DEPS-R has demonstrated good reliability and validity, and it may provide clinical benefit by increasing screening and early detection of disordered eating in CYP with T1D. Whilst novel and providing stepped increase in our knowledge, these findings would benefit from further validation (e.g. in a larger sample and responsiveness).

Mechanisms underlying the development of eating disorders and disordered eating in adolescent females with type 1 diabetes.

OBJECTIVE: People with Type 1 diabetes (T1D) face an increased risk of eating disorders/disordered eating (ED/DE), with adolescents being particularly vulnerable. Empirical knowledge on the mechanisms underlying development of ED/DE in T1D is crucial for evolving prevention strategies. RESEARCH DESIGN AND METHODS: Fourteen semi-structured interviews with adolescent females with T1D and ED/DE between 14 and 18 years were conducted and analyzed using reflexive thematic analysis. RESULTS: Analyses identified four main themes; 'Interconnected afflictions', 'Judgment', 'Feeling Different', and 'Chaos & Control', These themes explore the interconnectedness of T1D and ED/DE, with shame and guilt emerging as common underlying mechanism. The development of a biopsychosocial model was based on the integration of these data with existing models. CONCLUSIONS: The study extends previous developmental pathways of ED/DE in adolescents with T1D. We propose a biopsychosocial model that incorporates various factors: predisposing factors such as parental management of T1D and weight gain during adolescence; precipitating factors including comments on weight, frequency of weighing, perceptions of surveillance; the perpetuating bilateral influence of ED/DE and T1D and finally highlighting the protective mechanisms of disease acceptance encompassing parental handling of diagnosis and the contribution of healthcare professionals (HCP's) role in psychoeducation. The present study highlight the vulnerability of adolescence in the presence of T1D, particularly concerning issues related to eating, weight, and body. It offers clinically relevant insights, with the aim to improve communication and management strategies for this very specific group.

PRIORITY Trial: Results from a feasibility randomised controlled trial of a psychoeducational intervention for parents to prevent disordered eating in children and young people with type 1 diabetes.

AIMS: Children and young people (CYP) with type 1 diabetes (T1D) are at increased risk of disordered eating. This study aimed to determine the feasibility and acceptability of a novel, theoretically informed, two-session psychoeducational intervention for parents to prevent disordered eating in CYP with T1D. METHODS: Parents of CYP aged 11-14 years with T1D were randomly allocated to the intervention or wait-list control group. Self-reported measures including the Diabetes Eating Problem Survey-Revised (DEPS-R), Problem Areas in Diabetes Parent Revised (PAID-PR), Child Eating Behaviour Questionnaire subscales (CEBQ), Warwick Edinburgh Mental Wellbeing Scale (WEMWBS), clinical outcomes (e.g. HbA1c, BMI, medication and healthcare utilisation) and process variables, were collected at baseline, 1-and 3-month assessments. Acceptability data were collected from intervention participants via questionnaire. RESULTS: Eighty-nine parents were recruited, which exceeded recruitment targets, with high intervention engagement and acceptability (<80% across domains). A signal of efficacy was observed across outcome measures with moderate improvements in the CEBQ subscale satiety responsiveness (d = 0.55, 95% CI 0.01, 1.08) and child's BMI (d = -0.56, 95% CI -1.09, 0.00) at 3 months compared with controls. Trends in the anticipated direction were also observed with reductions in disordered eating (DEPS-R) and diabetes distress (PAID-PR) and improvements in wellbeing (WEMWBS). CONCLUSIONS: This is the first study to have co-designed and evaluated a novel parenting intervention to prevent disordered eating in CYP with T1D. The intervention proved feasible and acceptable with encouraging effects. Preparatory work is required prior to definitive trial to ensure the most relevant primary outcome measure and ensure strategies for optimum outcome completion.

Protocol for the STEADY intervention for type 1 diabetes and disordered eating: Safe management of people with Type 1 diabetes and EAting Disorders studY.

This paper describes the protocol to test the feasibility of the Safe management of people with Type 1 diabetes and EAting Disorders studY (STEADY) intervention. STEADY is a novel complex intervention for people with type 1 diabetes and disordered eating (T1DE) of mild to moderate severity. The STEADY intervention integrates cognitive behavioural therapy (CBT) with diabetes education, and was developed using Experience-Based Co-Design. METHODS: The feasibility of STEADY will be tested using a randomised controlled feasibility trial. Forty adults with T1DE will be recruited and randomised into the STEADY intervention or treatment as usual control group. We will collect demographic, biomedical and psychometric data, routine glucose metrics and conduct the Structured Clinical Interview for DSM-5. Participants randomised to the STEADY intervention will receive 12 STEADY therapy sessions with a diabetes specialist nurse trained in CBT, delivered via videoconference and an optional smartphone app. The main outcome at 6 months will be the feasibility of STEADY (recruitment, dropout rates, feasibility of delivery). The secondary outcomes are biomedical (HbA1c and glucose time in range) and psychological (person-reported outcome measures in disordered eating, diabetes distress, depression and anxiety). A process evaluation will evaluate the fidelity, feasibility, acceptability and appropriateness of STEADY, and participant experiences. ETHICS AND DISSEMINATION: The protocol was approved by the East of England-Essex Research Ethics Committee (21/EE/0235). Study findings will be shared with study participants and disseminated through peer-reviewed publications and conference presentations.

Profiles of disordered eating behaviour in type 1 diabetes using the DEPS-R and behaviour and glycaemic outcomes in a real-life setting.

AIMS: The Diabetes Eating Problems Survey - Revised (DEPS-R) is commonly used to assess disordered eating behaviour (DEB) in individuals with type 1 diabetes and has advantages compared to other measures not specifically tailored to diabetes. A score ≥20 on the DEPS-R is used to indicate clinically significant DEB; however, it does not distinguish between eating disorder (ED) phenotypes necessary to guide treatment decisions, limiting clinical utility. METHODS: The current study used latent class analysis to identify distinct person-centred profiles of DEB in adults with type 1 diabetes using the DEPS-R. Analysis of Variance with Games Howell post-hoc comparisons was then conducted to examine the correspondence between the profiles and binge eating, insulin restriction and glycaemic control (HbA1c, mean blood glucose, and percent time spent in hyperglycaemia) during 3 days of assessment in a real-life setting. RESULTS: Latent class analysis indicated a 4-class solution, with patterns of item endorsement suggesting the following profiles: Bulimia, Binge Eating, Overeating and Low Pathology. Differences in binge eating, insulin restriction and glycaemic control were observed between profiles during 3 days of at-home assessment. The Bulimia profile was associated with highest HbA1c and 3-day mean blood glucose. CONCLUSIONS: There are common patterns of responses on the DEPS-R that appear to reflect different ED phenotypes. Profiles based on the DEPS-R corresponded with behaviour in the real-life setting as expected and were associated with different glycaemic outcomes. Results may have implications for the use of the DEPS-R in research and clinical settings.

State-specific alterations in the neural computations underlying inhibitory control in women remitted from bulimia nervosa.

The neurocomputational processes underlying bulimia nervosa and its primary symptoms, out-of-control overeating and purging, are poorly understood. Research suggests that the brains of healthy individuals form a dynamic internal model to predict whether control is needed in each moment. This study tested the hypothesis that this computational process of inhibitory control is abnormally affected by metabolic state (being fasted or fed) in bulimia nervosa. A Bayesian ideal observer model was fit to behavioral data acquired from 22 women remitted from bulimia nervosa and 20 group-matched controls who completed a stop-signal task during two counterbalanced functional MRI sessions, one after a 16 h fast and one after a meal. This model estimates participants' trial-by-trial updating of the probability of a stop signal based on their experienced trial history. Neural analyses focused on control-related Bayesian prediction errors, which quantify the direction and degree of "surprise" an individual experiences on any given trial. Regardless of group, metabolic state did not affect behavioral performance on the task. However, metabolic state modulated group differences in neural activation. In the fed state, women remitted from bulimia nervosa had attenuated prediction-error-dependent activation in the left dorsal caudate. This fed-state activation was lower among women with more frequent past binge eating and self-induced vomiting. When they are in a fed state, individuals with bulimia nervosa may not effectively process unexpected information needed to engage inhibitory control. This may explain the difficulties these individuals have stopping eating after it begins.

School achievement in adolescence and the risk of mental disorders in early adulthood: a Finnish nationwide register study.

School grades in adolescence have been linked to later psychiatric outcomes, but large-scale nationwide studies across the spectrum of mental disorders are scarce. In the present study, we examined the risk of a wide array of mental disorders in adulthood, as well as the risk of comorbidity, associated with school achievement in adolescence. We used population-based cohort data comprising all individuals born in Finland over the period 1980-2000 (N = 1,070,880) who were followed from age 15 or 16 until a diagnosis of mental disorder, emigration, death, or December 2017, whichever came first. Final grade average from comprehensive school was the exposure, and the first diagnosed mental disorder in a secondary healthcare setting was the outcome. The risks were assessed with Cox proportional hazards models, stratified Cox proportional hazard models within strata of full-siblings, and multinomial regression models. The cumulative incidence of mental disorders was estimated using competing risks regression. Better school achievement was associated with a smaller risk of all subsequent mental disorders and comorbidity, except for eating disorders, where better school achievement was associated with a higher risk. The largest associations were observed between school achievement and substance use disorders. Overall, individuals with school achievement more than two standard deviations below average had an absolute risk of 39.6% of a later mental disorder diagnosis. By contrast, for individuals with school achievement more than two standard deviations above average, the absolute risk of a later mental disorder diagnosis was 15.7%. The results show that the largest mental health burden accumulates among those with the poorest school achievement in adolescence.

The impact of eating disorders on idiopathic intracranial hypertension.

BACKGROUND: Idiopathic intracranial hypertension (IIH) occurs more frequently in obese females of childbearing age. A link between eating disorders and poor outcome has been suggested but remains unproven. METHODS: This prospective field study at two tertiary headache centers included patients with clinically suspected IIH after standardized diagnostic work-up. Eating disorders were evaluated using validated questionnaires (EDQs). Primary outcome was the impact of eating disorders on IIH severity and outcome, secondary outcome was the prevalence and type of eating disorders in IIH compared to controls. RESULTS: We screened 326 patients; 143 patients replied to the EDQs and were classified as 'IIH' or 'non-IIH' patients. The demographic profile of EDQ-respondents and non-respondents was similar. Presence of an eating disorder did not impact IIH severity (lumbar puncture opening pressure (p = 0.63), perimetric mean deviation (p = 0.18), papilledema (Frisén grad 1-3; p = 0.53)) nor IIH outcome (optic nerve atrophy (p = 0.6), impaired visual fields (p = 0.18)). Moreover, we found no differences in the prevalence and type of eating disorders when comparing IIH with non-IIH patients (p = 0.09). CONCLUSION: Eating disorders did not affect IIH severity or outcome. We found the same prevalence and distribution pattern of eating disorders in IIH and non-IIH patients advocating against a direct link between IIH and eating disorders.