Latent profile analysis reveals overlapping ARFID and shape/weight motivations for restriction in eating disorders.

BACKGROUND: 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. METHODS: 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. RESULTS: 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. CONCLUSIONS: 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.

Lower region-specific gray matter volume in females with atypical anorexia nervosa and anorexia nervosa.

OBJECTIVE: Few studies have focused on brain structure in atypical anorexia nervosa (atypical AN). This study investigates differences in gray matter volume (GMV) between females with anorexia nervosa (AN) and atypical AN, and healthy controls (HC). METHOD: Structural magnetic resonance imaging data were acquired for 37 AN, 23 atypical AN, and 41 HC female participants. Freesurfer was used to extract GMV, cortical thickness, and surface area for six brain lobes and associated cortical regions of interest (ROI). Primary analyses employed linear mixed-effects models to compare group differences in lobar GMV, followed by secondary analyses on ROIs within significant lobes. We also explored relationships between cortical gray matter and both body mass index (BMI) and symptom severity. RESULTS: Our primary analyses revealed significant lower GMV in frontal, temporal and parietal areas (FDR < .05) in AN and atypical AN when compared to HC. Lobar GMV comparisons were non-significant between atypical AN and AN. The parietal lobe exhibited the greatest proportion of affected cortical ROIs in both AN versus HC and atypical AN versus HC. BMI, but not symptom severity, was found to be associated with cortical GMV in the parietal, frontal, temporal, and cingulate lobes. No significant differences were observed in cortical thickness or surface area. DISCUSSION: We observed lower GMV in frontal, temporal, and parietal areas, when compared to HC, but no differences between AN and atypical AN. This indicates potentially overlapping structural phenotypes between these disorders and evidence of brain changes among those who are not below the clinical underweight threshold. PUBLIC SIGNIFICANCE: Despite individuals with atypical anorexia nervosa presenting above the clinical weight threshold, lower cortical gray matter volume was observed in partial, temporal, and frontal cortices, compared to healthy individuals. No significant differences were found in cortical gray matter volume between anorexia nervosa and atypical anorexia nervosa. This underscores the importance of continuing to assess and target weight gain in clinical care, even for those who are presenting above the low-weight clinical criteria.

Cognitive-behavioral therapy for avoidant/restrictive food intake disorder: A proof-of-concept for mechanisms of change and target engagement.

BACKGROUND: Cognitive-behavioral therapy for avoidant/restrictive food intake disorder (ARFID; CBT-AR) theoretically targets three prototypic motivations (sensory sensitivity, lack of interest/low appetite, fear of aversive consequences), aligned with three modularized interventions. As an exploratory investigation, we: (1) evaluated change in candidate mechanisms in relationship to change in ARFID severity, and (2) tested if assignment (vs. not) to a module resulted in larger improvements in the corresponding mechanism. METHOD: Males and females (N = 42; 10-55 years) participated in an open trial of CBT-AR. RESULTS: Decreases in scaled scores for each candidate mechanism had medium to large correlations with decreases in ARFID severity-sensory sensitivity: -0.7 decrease (r = .42, p = .01); lack of interest/low appetite: -0.3 decrease (r = .60, p < .0001); and fear of aversive consequences: -1.1 decrease (r = .33, p = .05). Linear mixed models revealed significant weekly improvements for each candidate mechanism across the full sample (ps < .0001). There were significant interactions for the sensory and fear of aversive consequences modules-for each, participants who received the corresponding module had significantly larger decreases in the candidate mechanism than those who did not receive the module. DISCUSSION: Sensory sensitivity and fear of aversive consequences improved more if the CBT-AR module was received, but lack of interest/low appetite may improve regardless of receipt of the corresponding module. Future research is needed to test target engagement in CBT-AR with adaptive treatment designs, and to identify valid and sensitive measures of candidate mechanisms. PUBLIC SIGNIFICANCE: The mechanisms through which components of CBT-AR work have yet to be elucidated. We conducted an exploratory investigation to test if assignment (vs. not) to a CBT-AR module resulted in larger improvements in the corresponding prototypic ARFID motivation that the module intended to target. Measures of the sensory sensitivity and the fear of aversive consequences motivations improved more in those who received the corresponding treatment module, whereas the lack of interest/low appetite measure improved regardless of if the corresponding module was received.

Medical Comorbidities, Nutritional Markers, and Cardiovascular Risk Markers in Youth With ARFID.

OBJECTIVE: Avoidant/restrictive food intake disorder (ARFID) is common among populations with nutrition-related medical conditions. Less is known about the medical comorbidity/complication frequencies in youth with ARFID. We evaluated the medical comorbidities and metabolic/nutritional markers among female and male youth with full/subthreshold ARFID across the weight spectrum compared with healthy controls (HC). METHOD: In youth with full/subthreshold ARFID (n = 100; 49% female) and HC (n = 58; 78% female), we assessed self-reported medical comorbidities via clinician interview and explored abnormalities in metabolic (lipid panel and high-sensitive C-reactive protein [hs-CRP]) and nutritional (25[OH] vitamin D, vitamin B12, and folate) markers. RESULTS: Youth with ARFID, compared with HC, were over 10 times as likely to have self-reported gastrointestinal conditions (37% vs. 3%; OR = 21.2; 95% CI = 6.2-112.1) and over two times as likely to have self-reported immune-mediated conditions (42% vs. 24%; OR = 2.3; 95% CI = 1.1-4.9). ARFID, compared with HC, had a four to five times higher frequency of elevated triglycerides (28% vs. 12%; OR = 4.0; 95% CI = 1.7-10.5) and hs-CRP (17% vs. 4%; OR = 5.0; 95% CI = 1.4-27.0) levels. DISCUSSION: Self-reported gastrointestinal and certain immune comorbidities were common in ARFID, suggestive of possible bidirectional risk/maintenance factors. Elevated cardiovascular risk markers in ARFID may be a consequence of limited dietary variety marked by high carbohydrate and sugar intake.

Atypical anorexia nervosa diagnosis should exclude those with lifetime anorexia nervosa: Commentary on Walsh, Hagan, and Lockwood (2022).

Atypical anorexia nervosa (AN) is not well-defined. Walsh, Hagan, and Lockwood (2022) review the data on atypical AN published in the last decade demonstrating overwhelming clinical similarities between atypical AN and AN. As written, atypical AN includes at least three clinical presentations that may not have the same underlying illness, and in turn, may have different prognoses and treatment needs: (1) higher-weight AN; (2) prodromal AN; and (3) partial remission from AN. While useful for the first two presentations, we suggest that the atypical AN diagnosis is not appropriate for those in partial remission from AN. Extant data document symptom fluctuation is part of illness course in AN rather than crossover to a distinct disorder. Further, lifetime AN carries the greatest risk for relapse to low-weight, premature death, and medical morbidities. Finally, emerging data support unique biobehavioral mechanisms in AN suggesting its combination with atypical AN is premature. Therefore, at this time, we recommend that the atypical AN diagnosis be reserved for those without lifetime AN. We encourage research to test and validate operational definitions of atypical AN and partial remission from AN, and further suggest documentation of lifetime AN across the eating disorders given its prognostic value.

Anorexia nervosa and muscle health: A systematic review of our current understanding and future recommendations for study.

OBJECTIVE: Conduct a systematic review on muscle size and strength in individuals with anorexia nervosa (AN). METHOD: In accordance with PRISMA guidelines, we searched Pubmed for articles published between 1995 and 2022 using a combination of search terms related to AN and muscle size, strength, or metabolism. After two authors screened articles and extracted data, 30 articles met inclusion criteria. Data were coded, and a risk bias was conducted for each study. RESULTS: The majority of studies focused on muscle size/lean mass (60%, n = 18) and energy expenditure (33%, n = 9), with few studies (17%, n = 5) investigating muscle function or possible mechanisms underlying muscle size (20%, n = 6). Studies supported that individuals with AN have smaller muscle size and reduced energy expenditure relative to controls. In some studies (33%, n = 10) recovery from AN was not sufficient to restore muscle mass or function. Mechanisms underlying short and long-term musculoskeletal alterations have not been thoroughly explored. DISCUSSION: Muscle mass and strength loss may be an unexplored component of physiological deterioration during and after AN. More research is necessary to understand intramuscular alterations during AN and interventions to facilitate muscle mass and functional gain following weight restoration in AN. PUBLIC SIGNIFICANCE: Muscle health is important for optimal health and is reduced in individuals with AN. However, we do not understand how muscle is altered at the cellular level throughout the course of AN. Here we review what is currently known regarding muscle health during AN and with weight restoration.

OBJETIVO: Realizar una revisión sistemática sobre el tamaño y la fuerza muscular en individuos que padecen anorexia nerviosa (AN). MÉTODO: De acuerdo con las guías PRISMA, se realizaron búsquedas en Pubmed de artículos publicados entre 1995 y 2022 mediante una combinación de términos de búsqueda relacionados con la anorexia nerviosa y el tamaño, la fuerza o el metabolismo muscular. Después de que dos autores examinaron los artículos y extrajeron los datos, 30 artículos cumplieron los criterios de inclusión. Se codificaron los datos y se realizó un sesgo de riesgo para cada estudio. RESULTADOS: La mayoría de los estudios se enfocaron en el tamaño muscular/masa magra (60%, n=18) y el gasto energético (33%, n=9), con pocos estudios (17%, n=5) investigando la función muscular o los posibles mecanismos subyacentes al tamaño muscular (20%, n=6). Los estudios apoyaron que los individuos que padecen anorexia nerviosa tienen un tamaño muscular más pequeño y un gasto de energía reducido en relación con los controles. En algunos estudios (33%, n = 10) la recuperación de la anorexia nerviosa no fue suficiente para restaurar la masa muscular o la función. Los mecanismos subyacentes a las alteraciones musculoesqueléticas a corto y largo plazo no se han explorado a fondo. DISCUSIÓN: La pérdida de masa muscular y fuerza puede ser un componente inexplorado del deterioro fisiológico durante y después de la AN. Se necesita más investigación para comprender las alteraciones intramusculares durante la anorexia nerviosa y las intervenciones para facilitar la masa muscular y la ganancia funcional después de la restauración del peso en la anorexia nerviosa.

Food neophobia as a mechanism of change in video-delivered cognitive-behavioral therapy for avoidant/restrictive food intake disorder: A case study.

OBJECTIVE: The mechanisms through which cognitive-behavioral therapies (CBTs) for avoidant/restrictive food intake disorder (ARFID) may work have yet to be elucidated. To inform future treatment revisions to increase parsimony and potency of CBT for ARFID (CBT-AR), we evaluated change in food neophobia during CBT-AR treatment of a sensory sensitivity ARFID presentation via a single case study. METHOD: An adolescent male completed 21, twice-weekly sessions of CBT-AR via live video delivery. From pre- to mid- to post-treatment and at 2-month follow-up, we calculated percent change in food neophobia and ARFID symptom severity measures. Via visual inspection, we explored trajectories of week-by-week food neophobia in relation to clinical improvements (e.g., when the patient incorporated foods into daily life). RESULTS: By post-treatment, the patient achieved reductions across food neophobia (45%), and ARFID severity (53-57%) measures and no longer met criteria for ARFID, with sustained improvement at 2-month follow-up. Via visual inspection of week-by-week food neophobia trajectories, we identified that decreases occurred after mid-treatment and were associated with incorporation of a food directly tied to the patient's main treatment motivation. DISCUSSION: This study provides hypothesis-generating findings on candidate CBT-AR mechanisms, showing that changes in food neophobia were related to food exposures most connected to the patient's treatment motivations. PUBLIC SIGNIFICANCE: Cognitive-behavioral therapies (CBTs) can be effective for treating avoidant/restrictive food intake disorder (ARFID). However, we do not yet have evidence to show how they work. This report of a single patient shows that willingness to try new foods (i.e., food neophobia), changed the most when the patient experienced a clinical improvement most relevant to his motivation for seeking treatment.

Accountability in promoting representation of historically marginalized racial and ethnic populations in the eating disorders field: A call to action.

Promoting representation of historically marginalized racial and ethnic populations in the eating disorders (EDs) field among professionals and the populations studied and served has long been discussed, with limited progress. This may be due to a reinforcing feedback loop in which individuals from dominant cultures conduct research and deliver treatment, participate in research, and receive diagnoses and treatment. This insularity maintains underrepresentation: EDs in historically marginalized populations are understudied, undetected, and undertreated. An Early Career Investigators Workshop generated recommendations for change that were not inherently novel but made apparent that accountability is missing. This paper serves as a call to action to spearhead a paradigm shift from equality to equity in the ED field. We provide a theoretical framework, suggest ways to disrupt the feedback loop, and summarize actionable steps to increase accountability in ED leadership and research toward enhancing racial/ethnic justice, equity, diversity, and inclusion (JEDI). These actionable steps are outlined in the service of challenging our field to reflect the diversity of our global community. We must develop and implement measurable metrics to assess our progress toward increasing diversity of underrepresented racial/ethnic groups and to address JEDI issues in our providers, patients, and research participants.

Differential comorbidity profiles in avoidant/restrictive food intake disorder and anorexia nervosa: Does age play a role?

OBJECTIVE: Research comparing psychiatric comorbidities between individuals with avoidant/restrictive food intake disorder (ARFID) and anorexia nervosa (AN) is limited. ARFID often develops in childhood, whereas AN typically develops in adolescence or young adulthood. Understanding how age may impact differential psychological comorbidity profiles is important to inform etiological conceptualization, differential diagnosis, and treatment planning. We aimed to compare the lifetime frequency of psychiatric comorbidities and suicidality between females with ARFID (n = 51) and AN (n = 40), investigating the role of age as a covariate. METHOD: We used structured interviews to assess the comparative frequency of psychiatric comorbidities/suicidality. RESULTS: When age was omitted from analyses, females with ARFID had a lower frequency of depressive disorders and suicidality compared to AN. Adjusting for age, only suicidality differed between groups. DISCUSSION: This is the first study to compare comorbidities in a similar number of individuals with ARFID and AN, and a structured clinical interview to confer ARFID and comorbidities, covarying for age, and the first to compare suicidality. Although suicidality is at least three times less common in ARFID than AN, observed differences in other psychiatric comorbidities may reflect ARFID's relatively younger age of presentation compared to AN. PUBLIC SIGNIFICANCE: Our results highlight that, with the exception of suicidality, which was three times less common in ARFID than AN irrespective of age, observed differences in psychiatric comorbidities in clinical practice may reflect ARFID's younger age at clinical presentation compared to AN.

Eighteen-month Course and Outcome of Adolescent Restrictive Eating Disorders: Persistence, Crossover, and Recovery.

OBJECTIVE: In adults, low-weight restrictive eating disorders, including anorexia nervosa (AN), are marked by chronicity and diagnostic crossover from restricting to binge-eating/purging. Less is known about the naturalistic course of these eating disorders in adolescents, particularly atypical AN (atyp-AN) and avoidant/restrictive food intake disorder (ARFID). To inform nosology of low-weight restrictive eating disorders in adolescents, we examined outcomes including persistence, crossover, and recovery in an 18-month observational study. METHOD: We assessed 82 women (ages 10-23 years) with low-weight eating disorders including AN (n = 40; 29 restricting, 11 binge-eating/purging), atyp-AN (n = 26; 19 restricting, seven binge-eating/purging), and ARFID (n = 16) at baseline, nine months (9 M; 75% retention), and 18 months (18 M; 73% retention) via semi-structured interviews. First-order Markov modeling was used to determine diagnostic persistence, crossover, and recovery occurring at 9 M or 18 M. RESULTS: Among all diagnoses, the likelihood of remaining stable within a given diagnosis was greater than that of transitioning, with the greatest probability among ARFID (0.84) and AN-R (0.62). Persistence of BP and atypical presentations at follow-up periods was less stable (AN-BP probability 0.40; atyp-AN-R probability 0.48; atyp-AN-BP probability, 0.50). Crossover from binge-eating/purging to restricting occurred 72% of the time; crossover from restricting to binge-eating/purging occurred 23% of the time. The likelihood of stable recovery (e.g., recovery at both 9 M and 18 M) was between 0.00 and 0.36. CONCLUSION: Across groups, intake diagnosis persisted in about two-thirds, and recovery was infrequent, underscoring the urgent need for innovative treatment approaches to these illnesses. Frequent crossover between AN and atyp-AN supports continuity between typical and atypical presentations, whereas no crossover to ARFID supports its distinction.

Validation of the nine item ARFID screen (NIAS) subscales for distinguishing ARFID presentations and screening for ARFID.

OBJECTIVE: The Nine Item Avoidant/Restrictive Food Intake Disorder (ARFID) Screen (NIAS) has three subscales aligned with ARFID presentations but clinically validated cutoff scores have not been identified. We aimed to examine NIAS subscale (picky eating, appetite, fear) validity to: (1) capture clinically-diagnosed ARFID presentations; (2) differentiate ARFID from other eating disorders (other-ED); and (3) capture ARFID symptoms among individuals with ARFID, individuals with other-ED, and nonclinical participants. METHOD: Participants included outpatients (ages 10-76 years; 75% female) diagnosed with ARFID (n = 49) or other-ED (n = 77), and nonclinical participants (ages 22-68 years; 38% female, n = 40). We evaluated criterion-related concurrent validity by conducting receiver operating curve (ROC) analyses to identify potential subscale cutoffs and by testing if cutoffs could capture ARFID with and without use of the Eating Disorder Examination-Questionnaire (EDE-Q). RESULTS: Each NIAS subscale had high AUC for capturing those who fit versus do not fit each ARFID presentation, resulting in proposed cutoffs of ≥10 (sensitivity = .97, specificity = .63), ≥9 (sensitivity = .86, specificity = .70), and ≥ 10 (sensitivity = .68, specificity = .89) on the NIAS-picky eating, NIAS-appetite, and NIAS-fear subscales, respectively. ARFID versus other-ED had high AUC on the NIAS-picky eating (≥10 proposed cutoff), but not NIAS-appetite or NIAS-fear subscales. NIAS subscale cutoffs had a high association with ARFID diagnosis, but only correctly classified other-ED in combination with EDE-Q Global <2.3. DISCUSSION: To screen for ARFID, we recommend using a screening tool for other-ED (e.g., EDE-Q) in combination with a positive score on any NIAS subscale (i.e., ≥10, ≥9, and/or ≥10 on the NIAS-picky eating, NIAS-appetite, and NIAS-fear subscales, respectively).

Disorders of gut-brain interaction common among outpatients with eating disorders including avoidant/restrictive food intake disorder.

OBJECTIVE: Little research exists on Rome IV disorders of gut-brain interaction (DGBI; formerly called functional gastrointestinal disorders) in outpatients with eating disorders (EDs). These data are particularly lacking for avoidant/restrictive food intake disorder (ARFID), which shares core features with DGBI. We aimed to identify the frequency and nature of DGBI symptoms among outpatients with EDs. METHOD: Consecutively referred pediatric and adult patients diagnosed with an ED (n = 168, 71% female, ages 8-76 years) in our tertiary care ED program between March 2017 and July 2019 completed a modified Rome IV Questionnaire for DGBI and psychopathology measure battery. RESULTS: The majority (n = 122, 72%) of participants reported at least one bothersome gastrointestinal symptom. Sixty-six (39%) met criteria for a DBGI, most frequently functional dyspepsia-post-prandial distress syndrome subtype (31%). DGBI were surprisingly less frequent among patients with ARFID (30%) versus EDs that are associated with shape or weight concerns (45%; X2 [1] = 3.61, p = .058, Cramer's V = .147). Among those with ARFID, DGBI presence was associated with the fear of aversive consequences prototype and multiple comorbid prototype presence. DISCUSSION: We demonstrated notable overlap between DGBI and EDs, particularly post-prandial distress symptoms. Further research is needed to examine if gastrointestinal symptoms predict or are a result of greater ED pathology, including ARFID prototypes.

Cognitive-behavioral therapy for avoidant/restrictive food intake disorder: Feasibility, acceptability, and proof-of-concept for children and adolescents.

OBJECTIVE: Little is known about the optimal treatment of avoidant/restrictive food intake disorder (ARFID). The purpose of this study was to evaluate feasibility, acceptability, and proof-of-concept for cognitive-behavioral therapy for ARFID (CBT-AR) in children and adolescents. METHOD: Males and females (ages 10-17 years) were offered 20-30 sessions of CBT-AR delivered in a family-based or individual format. RESULTS: Of 25 eligible individuals, 20 initiated treatment, including 17 completers and 3 dropouts. Using intent-to-treat analyses, clinicians rated 17 patients (85%) as "much improved" or "very much improved." ARFID severity scores (on the Pica, ARFID, and Rumination Disorder Interview) significantly decreased per both patient and parent report. Patients incorporated a mean of 16.7 (SD = 12.1) new foods from pre- to post-treatment. The underweight subgroup showed a significant weight gain of 11.5 (SD = 6.0) pounds, moving from the 10th to the 20th percentile for body mass index. At post-treatment, 70% of patients no longer met criteria for ARFID. DISCUSSION: This is the first study of an outpatient manualized psychosocial treatment for ARFID in older adolescents. Findings provide evidence of feasibility, acceptability, and proof-of-concept for CBT-AR. Randomized controlled trials are needed.

Study protocol of comprehensive risk evaluation for anorexia nervosa in twins (CREAT): a study of discordant monozygotic twins with anorexia nervosa.

BACKGROUND: Anorexia nervosa (AN) is a severe disorder, for which genetic evidence suggests psychiatric as well as metabolic origins. AN has high somatic and psychiatric comorbidities, broad impact on quality of life, and elevated mortality. Risk factor studies of AN have focused on differences between acutely ill and recovered individuals. Such comparisons often yield ambiguous conclusions, as alterations could reflect different effects depending on the comparison. Whereas differences found in acutely ill patients could reflect state effects that are due to acute starvation or acute disease-specific factors, they could also reflect underlying traits. Observations in recovered individuals could reflect either an underlying trait or a "scar" due to lasting effects of sustained undernutrition and illness. The co-twin control design (i.e., monozygotic [MZ] twins who are discordant for AN and MZ concordant control twin pairs) affords at least partial disambiguation of these effects. METHODS: Comprehensive Risk Evaluation for Anorexia nervosa in Twins (CREAT) will be the largest and most comprehensive investigation of twins who are discordant for AN to date. CREAT utilizes a co-twin control design that includes endocrinological, neurocognitive, neuroimaging, genomic, and multi-omic approaches coupled with an experimental component that explores the impact of an overnight fast on most measured parameters. DISCUSSION: The multimodal longitudinal twin assessment of the CREAT study will help to disambiguate state, trait, and "scar" effects, and thereby enable a deeper understanding of the contribution of genetics, epigenetics, cognitive functions, brain structure and function, metabolism, endocrinology, microbiology, and immunology to the etiology and maintenance of AN.

Bidirectional relationship between eating disorders and autoimmune diseases.

BACKGROUND: Immune system dysfunction may be associated with eating disorders (ED) and could have implications for detection, risk assessment, and treatment of both autoimmune diseases and EDs. However, questions regarding the nature of the relationship between these two disease entities remain. We evaluated the strength of associations for the bidirectional relationships between EDs and autoimmune diseases. METHODS: In this nationwide population-based study, Swedish registers were linked to establish a cohort of more than 2.5 million individuals born in Sweden between January 1, 1979 and December 31, 2005 and followed up until December 2013. Cox proportional hazard regression models were used to investigate: (a) subsequent risk of EDs in individuals with autoimmune diseases; and (b) subsequent risk of autoimmune diseases in individuals with EDs. RESULTS: We observed a strong, bidirectional relationship between the two illness classes indicating that diagnosis in one illness class increased the risk of the other. In women, the diagnoses of autoimmune disease increased subsequent hazards of anorexia nervosa (AN), bulimia nervosa (BN), and other eating disorders (OED). Similarly, AN, BN, and OED increased subsequent hazards of autoimmune diseases.Gastrointestinal-related autoimmune diseases such as, celiac disease and Crohn's disease showed a bidirectional relationship with AN and OED. Psoriasis showed a bidirectional relationship with OED. The previous occurence of type 1 diabetes increased the risk for AN, BN, and OED. In men, we did not observe a bidirectional pattern, but prior autoimmune arthritis increased the risk for OED. CONCLUSIONS: The interactions between EDs and autoimmune diseases support the previously reported associations. The bidirectional risk pattern observed in women suggests either a shared mechanism or a third mediating variable contributing to the association of these illnesses.

Body composition in anorexia nervosa: Meta-analysis and meta-regression of cross-sectional and longitudinal studies.

OBJECTIVE: Clinically, anorexia nervosa (AN) presents with altered body composition. We quantified these alterations and evaluated their relationships with metabolites and hormones in patients with AN longitudinally. METHOD: In accordance with PRISMA guidelines, we conducted 94 meta-analyses on 62 samples published during 1996-2019, comparing up to 2,319 pretreatment, posttreatment, and weight-recovered female patients with AN with up to 1,879 controls. Primary outcomes were fat mass, fat-free mass, body fat percentage, and their regional distribution. Secondary outcomes were bone mineral density, metabolites, and hormones. Meta-regressions examined relationships among those measures and moderators. RESULTS: Pretreatment female patients with AN evidenced 50% lower fat mass (mean difference [MD]: -8.80 kg, 95% CI: -9.81, -7.79, Q = 1.01 × 10-63 ) and 4.98 kg (95% CI: -5.85, -4.12, Q = 1.99 × 10-28 ) lower fat-free mass, with fat mass preferentially stored in the trunk region during early weight restoration (4.2%, 95% CI: -2.1, -6.2, Q = 2.30 × 10-4 ). While the majority of traits returned to levels seen in healthy controls after weight restoration, fat-free mass (MD: -1.27 kg, 95% CI: -1.79, -0.75, Q = 5.49 × 10-6 ) and bone mineral density (MD: -0.10 kg, 95% CI: -0.18, -0.03, Q = 0.01) remained significantly altered. DISCUSSION: Body composition is markedly altered in AN, warranting research into these phenotypes as clinical risk or relapse predictors. Notably, the long-term altered levels of fat-free mass and bone mineral density suggest that these parameters should be investigated as potential AN trait markers. RESUMENOBJETIVO: Clínicamente, la anorexia nervosa (AN) se presenta con alteraciones en la composición corporal. Cuantificamos estas alteraciones y evaluamos longitudinalmente su relación con metabolitos y hormonas en pacientes con AN. MÉTODO: De acuerdo con las pautas PRISMA, realizamos 94 meta-análisis en 62 muestras publicadas entre 1996-2019, comparando hasta 2,319 pacientes mujeres en pre-tratamiento, post-tratamiento, y recuperadas en base al peso con hasta 1,879 controles. Las principales medidas fueron masa grasa, masa libre de grasa, porcentaje de grasa corporal y su distribución regional. Las medidas secundarias fueron densidad mineral ósea, metabolitos y hormonas. Las meta-regresiones examinaron las relaciones entre esas medidas y moderadores. RESULTADOS: Las pacientes femeninas con AN pre-tratamiento mostraron un 50% menos de masa grasa (MD: -8.80 kg, CI 95%: -9.81, -7.79, Q = 1.01 × 10-63 ) y 4.98 kg (CI 95%: -5.85, -4.12, Q = 1.99 × 10-28 ) menos de masa libre de grasa, con masa grasa preferentemente almacenada en la región del tronco durante la recuperación temprana del peso (4.2%, CI 95%: -2.1, -6.2, Q = 2.30 × 10-4 ). Aunque la mayoría de los rasgos regresaron a los niveles vistos en los controles sanos después de la restauración del peso, la masa libre de grasa (MD: -1.27 kg, CI 95%: -1.79, -0.75, Q = 5.49 × 10-6 ) y la densidad mineral ósea (MD: -0.10 kg, CI 95%: -0.18, -0.03, Q = 0.01) permanecieron significativamente alteradas. DISCUSIÓN: La composición corporal es marcadamente alterada en la AN, lo que garantiza la investigación en estos fenotipos como predictores de riesgo clínico o de recaída. Notablemente, la alteración a largo plazo de los niveles de masa libre de grasa y densidad mineral ósea sugieren que estos parámetros debe ser investigados como potenciales rasgos indicadores de AN.

Negative urgency and expectancies increase vulnerability to binge eating in bulimia nervosa.

Negative urgency (NU), the tendency to act impulsively when distressed, is associated with binge eating. Women who believe that eating alleviates negative affect are also more likely to binge eat. Thus, it is hypothesized that the individuals with high levels of NU, and who endorse these eating expectancies, will binge eat the following acute distress. This study tested these hypotheses using ecological momentary assessment. Sixteen women with the symptoms of BN completed clinical assessments, and were asked to report on distress and binges multiple times daily for two weeks. NU moderated the temporal relationship of negative affect to binges, such that women with lower scores on NU experienced a sharper increase in affect prior to binges. Individual differences in eating expectancies also moderated the relationship of affect to binge eating. Results suggest that women with high levels of NU and expectancy endorsement are triggered to binge by smaller shifts in negative affect than women who do not endorse these traits.

The relation between craving and binge eating: Integrating neuroimaging and ecological momentary assessment.

The role of craving in binge eating characteristic of bulimia nervosa (BN) is inconclusive. A network of regions associated with cue reactivity to food and substances has been identified, comprised of the amygdala, orbitofrontal cortex, insula, and striatum. The goal of this study was to examine individual differences in BOLD response in this appetitive network as moderators of the relationship between craving and binging in the natural environment in women with BN. Women with BN (N = 16) completed a baseline measure of craving and a fMRI scan, where they viewed neutral cues and food cues. After each run, craving for food was assessed. Participants then completed an ecological momentary assessment six times a day via smart phone and recorded binge eating and craving. Participants exhibited significantly increased BOLD response in the left amygdala in response to food cues compared to neutral cues. However, individual differences in BOLD response were not correlated with self-report craving throughout the scan. The relationship between craving and binging in everyday life was moderated by individual differences in activation in the caudate, insula, and amygdala. Women with greater activation in these regions demonstrated significant increases in craving prior to binge eating. Those who did not exhibit increases in activation did not exhibit increases in craving prior to binge eating in the natural environment. Craving may not underlie binge eating for all individuals with BN. However, these results indicate that neural response to food cues may affect individual differences in the daily experience of craving and binge eating.

The Science Behind the Academy for Eating Disorders' Nine Truths About Eating Disorders.

OBJECTIVE: In 2015, the Academy for Eating Disorders collaborated with international patient, advocacy, and parent organizations to craft the 'Nine Truths About Eating Disorders'. This document has been translated into over 30 languages and has been distributed globally to replace outdated and erroneous stereotypes about eating disorders with factual information. In this paper, we review the state of the science supporting the 'Nine Truths'. METHODS: The literature supporting each of the 'Nine Truths' was reviewed, summarized and richly annotated. RESULTS: Most of the 'Nine Truths' arise from well-established foundations in the scientific literature. Additional evidence is required to further substantiate some of the assertions in the document. Future investigations are needed in all areas to deepen our understanding of eating disorders, their causes and their treatments. CONCLUSIONS: The 'Nine Truths About Eating Disorders' is a guiding document to accelerate global dissemination of accurate and evidence-informed information about eating disorders. Copyright © 2017 John Wiley & Sons, Ltd and Eating Disorders Association.

Avoidant/restrictive food intake disorder differs from anorexia nervosa in delay discounting.

BACKGROUND: Avoidant/restrictive food intake disorder (ARFID) and anorexia nervosa (AN) are the two primary restrictive eating disorders; however, they are driven by differing motives for inadequate dietary intake. Despite overlap in restrictive eating behaviors and subsequent malnutrition, it remains unknown if ARFID and AN also share commonalities in their cognitive profiles, with cognitive alterations being a key identifier of AN. Discounting the present value of future outcomes with increasing delay to their expected receipt represents a core cognitive process guiding human decision-making. A hallmark cognitive characteristic of individuals with AN (vs. healthy controls [HC]) is reduced discounting of future outcomes, resulting in reduced impulsivity and higher likelihood of favoring delayed gratification. Whether individuals with ARFID display a similar reduction in delay discounting as those with AN (vs. an opposing bias towards increased delay discounting or no bias) is important in informing transdiagnostic versus disorder-specific cognitive characteristics and optimizing future intervention strategies. METHOD: To address this research question, 104 participants (ARFID: n = 57, AN: n = 28, HC: n = 19) completed a computerized Delay Discounting Task. Groups were compared by their delay discounting parameter (ln)k. RESULTS: Individuals with ARFID displayed a larger delay discounting parameter than those with AN, indicating steeper delay discounting (M ± SD = -6.10 ± 2.00 vs. -7.26 ± 1.73, p = 0.026 [age-adjusted], Hedges' g = 0.59), with no difference from HC (p = 0.514, Hedges' g = -0.35). CONCLUSION: Our findings provide a first indication of distinct cognitive profiles among the two primary restrictive eating disorders. The present results, together with future research spanning additional cognitive domains and including larger and more diverse samples of individuals with ARFID (vs. AN), will contribute to identifying maintenance mechanisms that are unique to each disorder as well as contribute to the optimization and tailoring of treatment strategies across the spectrum of restrictive eating disorders.

Avoidant/restrictive food intake disorder (ARFID) and anorexia nervosa (AN) are both restrictive eating disorders. However, the reasons for restricting food intake differ between the two diagnoses. A key question in further understanding similarities and differences between ARFID and AN is to understand whether individuals with these disorders process information and make decisions in similar or distinct ways. When humans decide between two different outcomes (e.g., a smaller immediate or a larger delayed reward), outcomes decrease in their value the farther in the future we expect to receive them (delay discounting). Individuals with AN exhibit a reduced discounting of future outcomes, which makes them more likely to forego immediate gratification for later rewards. However, whether this holds true for individuals with ARFID too (or whether they show the opposite or no bias) is unknown. Our investigation is the first to compare delay discounting between individuals with ARFID, AN, and healthy controls (HC). Our results show that individuals with ARFID show more delay discounting than those with AN, with no difference from HC. Knowing how rewards are being chosen and decisions made (and knowing differences between diagnoses) will be helpful in further optimizing and tailoring treatments for restrictive eating disorders.