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.

Comparing self-harming intentions underlying eating disordered behaviors and nonsuicidal self-injury: Replication and extension in adolescents.

OBJECTIVE: Eating disorder (ED) behaviors are often characterized as indirect forms of self-harm. However, recent research has found less clear demarcations between direct self-harming behaviors (e.g., nonsuicidal self-injury [NSSI], suicidal behaviors) than previously assumed. The aim of this study was to replicate findings of this prior research on adult populations in adolescents with a history of restrictive eating. METHOD: A total of 117 adolescents between ages 12-14 were included in the study. Participants reported the presence and frequency of binge eating, compensatory, restrictive eating, and NSSI. Participants also reported thoughts of and intentions to hurt and kill themselves when engaging in each behavior on average. The t-tests and linear effects models were conducted to compare self-harming thoughts and intentions across behaviors. RESULTS: Participants reported at least some intent to hurt themselves physically in the moment and in the long-term when engaging in all ED behaviors and NSSI, and reported engaging in these behaviors while thinking about suicide. Direct self-harming knowledge and intentions were most frequently reported with NSSI and longer-term knowledge and intentions via NSSI and restrictive eating. Additionally, participants reported some suicidal thoughts and intentions across behaviors. DISCUSSION: This study replicates prior research, suggesting that adolescents engage in ED behaviors and NSSI with non-zero self-harming and suicidal thoughts and intentions. ED behaviors and NSSI may better be explained on a continuum. Implications include the recommendation of safety planning during ED treatment. PUBLIC SIGNIFICANCE STATEMENT: This study highlights the overlap between eating disorder (ED) behaviors, nonsuicidal self-injury (NSSI), and suicide. Though clear distinctions typically exist for motives of self-harming behavior between ED behaviors (i.e., indirect, in the long run) and NSSI (i.e., direct, in the moment), this research suggests that intentions for self-harming and suicide may exist on a continuum. Clinical ED treatment should consider safety planning as part of routine interventions.

Body dissatisfaction, ideals, and identity in the development of disordered eating among adolescent ballet dancers.

OBJECTIVE: Little is known about how female adolescent ballet dancers-a group at high-risk for the development of body dissatisfaction and eating disorders-construct body ideals, and how their social identities interact with body ideals to confer risk for disordered eating. Using a novel body figure behavioral task, this study investigated (1) whether degree of body dissatisfaction corresponded to severity of disordered eating thoughts and behaviors, and (2) how ballet identity corresponded with ideal body figure size among adolescent ballet dancers. METHODS: Participants were 188 female ballet dancers ages 13-18 years who completed self-report measures of study constructs and the behavioral task. RESULTS: Linear regression models indicated that more severe body dissatisfaction was positively associated with increased disordered eating thoughts and behaviors (p < .19), except for muscle building (p = .32). We also found that identifying more strongly as a ballet dancer was correlated with having a smaller ideal body size (p = .017). CONCLUSION: Findings from this study suggest desire to achieve smaller body sizes is correlated with more severe disordered eating endorsement and stronger ballet identity. Instructors and clinicians may consider assessing the extent to which individuals identify as a ballet dancer as a risk factor for disordered eating and encourage adolescent dancers to build and nurture other identities beyond ballet. PUBLIC SIGNIFICANCE: Eating disorders are debilitating conditions that can lead to malnutrition, social isolation, and even premature death. Though disordered eating thoughts and behaviors can affect anyone, adolescents in physically demanding and body image-driven activities including ballet dance are particularly vulnerable. Investigating how factors like body dissatisfaction and strength of identity are associated with disordered eating among high-risk groups is crucial for developing effective prevention and intervention methods that minimize harm.

Development of transdiagnostic clinical risk prediction models for 12-month onset and course of eating disorders among adolescents in the community.

OBJECTIVE: To develop and internally validate risk prediction models for adolescent onset and persistence of eating disorders. METHODS: N = 963 Australian adolescents (11-19 years) in the EveryBODY Study cohort completed online surveys in 2018 and 2019. Models were built to predict 12-month risk of (1) onset, and (2) persistence of a DSM-5 eating disorder. RESULTS: Onset Model. Of the n = 687 adolescents without an eating disorder at baseline, 16.9% were identified with an eating disorder after 12 months. The prediction model was based on evidence-based risk factors for eating disorder onset available within the dataset (sex, body mass index percentile, strict weight loss dieting, history of bullying, psychological distress, weight/shape concerns). This model showed fair discriminative performance (mean AUC = .75). The most important factors were psychological distress, weight and shape concerns, and female sex. Diagnostic Persistence Model. Of the n = 276 adolescents with an eating disorder at baseline, 74.6% were identified as continuing to meet criteria for an eating disorder after 12 months. The prediction model for diagnostic persistence was based on available evidence-based risk factors for eating disorder persistence (purging, distress, social impairment). This model showed poor discriminative performance (mean AUC = .65). The most important factors were psychological distress and self-induced vomiting for weight control. DISCUSSION: We found preliminary evidence for the utility of a parsimonious model for 12-month onset of an eating disorder among adolescents in the community. Future research should include additional evidence-based risk factors and validate models beyond the original sample. PUBLIC SIGNIFICANCE: This study demonstrated the feasibility of developing parsimonious and accurate models for the prediction of future onset of an eating disorder among adolescents. The most important predictors in this model included psychological distress and weight and shape concerns. This study has laid the ground work for future research to build and test more accurate prediction models in diverse samples, prior to translation into a clinical tool for use in real world settings to aid decisions about referral to early intervention.

Real-time digital monitoring of a suicide attempt by a hospital patient.

Suicide is among the most devastating problems facing clinicians, who currently have limited tools to predict and prevent suicidal behavior. Here we report on real-time, continuous smartphone and sensor data collected before, during, and after a suicide attempt made by a patient during a psychiatric inpatient hospitalization. We observed elevated and persistent sympathetic nervous system arousal and suicidal thinking leading up to the suicide attempt. This case provides the highest resolution data to date on the psychological, psychophysiological, and behavioral markers of imminent suicidal behavior and highlights new directions for prediction and prevention efforts.

Preliminary validation of the pica, ARFID and rumination disorder interview ARFID questionnaire (PARDI-AR-Q).

BACKGROUND: The Pica, ARFID, and Rumination Disorder Interview (PARDI) is a structured interview that can be used to determine diagnosis, presenting characteristics, and severity across three disorders, including avoidant/restrictive food intake disorder (ARFID). The purpose of this study was to evaluate the psychometric properties of a questionnaire focused specifically on ARFID (PARDI-AR-Q), which has the potential to provide related information with less participant burden. METHODS: Adolescents and adults (n = 71, ages 14-40 years) with ARFID (n = 42) and healthy control participants (HC, n = 29) completed the PARDI-AR-Q and other measures. A subset of the ARFID group (n = 27) also completed the PARDI interview. RESULTS: An exploratory factor analysis of proposed subscale items identified three factors corresponding to the ARFID phenotypes of avoidance based on the sensory characteristics of food, lack of interest in eating or food, and concern about aversive consequences of eating. Further analyses supported the internal consistency and convergent validity of the PARDI-AR-Q subscales, and subscale ratings on the questionnaire showed large and significant correlations (all p-values < 0.001; r's ranging from 0.48 to 0.77) with the corresponding subscales on the interview. The ARFID group scored significantly higher than HC on all subscales. Furthermore, 90% of the ARFID group scored positive on the PARDI-AR-Q diagnostic algorithm while 93% of the HC scored negative. CONCLUSIONS: Though replication in larger and more diverse samples is needed, findings provide early support for the validity of the PARDI-AR-Q as a self-report measure for possible ARFID in clinical or research settings.

Exploring Adolescent Experiences with Disclosing Self-Injurious Thoughts and Behaviors Across Settings.

Disclosure of self-injurious thoughts and behaviors (SITBs) is critical to current treatment and prevention programs. Limited research has examined patterns of and barriers to SITB disclosure in adolescents. This work is critical given the limits of confidentiality in this population. Over 1,000 adolescents aged 13-17 with a history of mental health treatment and SITBs were recruited online. Participants reported their history with disclosing SITBs across a range of relationships, honesty in and barriers to disclosure to health care providers, and their experiences with breaches of confidentiality to parents/guardians. We examined relationships among these experiences and a range of outcomes, including perceived likelihood of future disclosure. Participants reported most frequent disclosure of all SITBs to friends, and more frequent disclosure of nonsuicidal self-injury compared to suicide ideation or attempts. Adolescents were most likely to disclose SITBs when directly asked by health care providers, though many participants reported continued SITB concealment. The most commonly endorsed barrier to disclosure was fear that the provider would tell a parent/guardian. Experiences with confidentiality breaches involving a non-collaborative breach were negatively associated with future disclosure, mental health symptoms, and adolescent-parent relationships. SITB disclosure is a cornerstone to their treatment and prevention. Better understanding of to whom and when, barriers, and the impact of disclosure experiences is critical. Our research suggests that most adolescents do not want their parents to know about their SITBs, and that fear of parent involvement prevents disclosure. Results have several implications for SITB assessment across physical and mental healthcare settings.

Online Methods in Adolescent Self-Injury Research: Challenges and Recommendations.

Online methods hold promise as effective research tools for adolescent psychopathology research. Such methods may be the most effective way to reach large, representative samples of adolescents and harder-to-reach populations. They also may increase adolescent disclosure of risky behaviors, reduce recruitment costs, and increase the cost and time efficiency of recruitment. Despite these advantages, researchers may be concerned about including measures assessing risky behaviors, like suicidal thoughts and behaviors and nonsuicidal self-injury, in online studies of youth. In addition, parental consent in online studies is impractical and difficult to obtain. Concerns also include potential iatrogenic effects, sample bias, and data quality issues. This review discusses the benefits and challenges for online adolescent self-injury research, proposes strategies to overcome barriers, and provides examples and recommendations for future research.

Functional assessment of restrictive eating: A three-study clinically heterogeneous and transdiagnostic investigation.

Restrictive eating is common and associated with negative psychological outcomes across the life span and eating disorder (ED) severity levels. Little is known about functional processes that maintain restriction, especially outside of narrow diagnostic categories (e.g., anorexia nervosa). Here, we extend research on operant four-function models (identifying automatic negative, automatic positive, social negative, and social positive reinforcement functions) that have previously been applied to nonsuicidal self-injury (NSSI), binge eating, and purging to restricting. We assessed restrictive eating functions in three samples: clinically heterogeneous adolescents (Study 1: N = 457), transdiagnostic adults (Study 2: N = 145), and adults with acute or recently weight-restored anorexia nervosa (Study 3: N = 45). Study 1 indicated the four-function model was a good fit for restricting (root mean square error of approximation [RMSEA] = .06, Tucker-Lewis index [TLI] = .88). This factor structure replicated in Study 2 (comparative fit index [CFI] = .97, RMSEA = .07, TLI = .97, standardized root mean square residual [SRMR] = .09). Unlike NSSI, binge eating, and purging, which have been found to primarily serve automatic negative reinforcement functions, all three present studies found automatic positive reinforcement was most highly endorsed (by up to 85% of participants). In Studies 1 and 3, automatic functions were associated with poorer emotion regulation (ps < .05). In Study 1, social functions were associated with less social support (ps < .001). Across studies, automatic functions were associated with greater restriction ps < .05). Functions varied slightly by ED diagnosis. Across ED presentation, severity, and developmental stage, restrictive eating may be largely maintained by automatic positive reinforcement, with some variability across presentations. Continued examination of restrictive eating functions will establish processes that maintain restriction, allowing more precise treatment targeting for these problematic behaviors. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Disclosure of Self-Injurious Thoughts and Behaviors Across Sexual and Gender Identities.

OBJECTIVES: Evidence suggests that sexual minority (SM) and gender minority (GM) youth are more likely to experience self-injurious thoughts and behaviors (SITBs) than heterosexual and cisgender youth. A major barrier to identifying and treating SITBs is nondisclosure. In this study, we explored differences in SITB disclosure patterns between SM and GM youth and their heterosexual and cisgender peers. In this study, we further examined the association between discrimination experiences and SITB disclosure. METHODS: Adolescents (N = 931) completed questionnaires assessing demographics, SITBs, disclosure history, disclosure barriers, future intentions to disclose SITBs, and discrimination history. RESULTS: Few differences in SITB disclosure patterns emerged between SM and GM youth and heterosexual and cisgender youth (P > .05). SM and GM youth endorsed greater rates of fear of disclosure to and worrying parents, two parent-related barriers ([Formula: see text] = 8.11, P = .017; [Formula: see text] = 7.25, P = .027). GM youth reported greater discrimination experiences than SM youth (F = 6.17, P = .002); discrimination experiences impacted their willingness to disclose future SITBs more so than their SM and heterosexual and cisgender peers (F = 11.58, P < .001). Among the full sample, more discrimination experiences were associated with lower previous disclosure honesty to therapists and pediatricians (r = -0.09 to -0.10, P < .05). Among SM and GM youth, discrimination experiences were associated with lesser odds of disclosing suicide attempts in the future (r = -0.12, P < .05). CONCLUSIONS: Minority stress experiences may interfere with SITB disclosure, particularly among GM youth. Targeted interventions should be considered to reduce minority stress and support disclosure.

Open science practices for eating disorders research.

This editorial seeks to encourage the increased application of three open science practices in eating disorders research: Preregistration, Registered Reports, and the sharing of materials, data, and code. For each of these practices, we introduce updated International Journal of Eating Disorders author and reviewer guidance. Updates include the introduction of open science badges; specific instructions about how to improve transparency; and the introduction of Registered Reports of systematic or meta-analytical reviews. The editorial also seeks to encourage the study of open science practices. Open science practices pose considerable time and other resource burdens. Therefore, research is needed to help determine the value of these added burdens and to identify efficient strategies for implementing open science practices.

Machine learning to advance the prediction, prevention and treatment of eating disorders.

Machine learning approaches are just emerging in eating disorders research. Promising early results suggest that such approaches may be a particularly promising and fruitful future direction. However, there are several challenges related to the nature of eating disorders in building robust, reliable and clinically meaningful prediction models. This article aims to provide a brief introduction to machine learning and to discuss several such challenges, including issues of sample size, measurement, imbalanced data and bias; I also provide concrete steps and recommendations for each of these issues. Finally, I outline key outstanding questions and directions for future research in building, testing and implementing machine learning models to advance our prediction, prevention, and treatment of eating disorders.

An empirical taxonomy of reward response patterns in a transdiagnostic eating disorder sample.

Reward response patterns may contribute to risk and maintenance of eating disorders (EDs), and there may be clinically meaningful heterogeneity in behavioral responses to different actual and anticipated rewards across ED diagnoses. We used an empirical approach to classify individuals with EDs based on self-reported tendencies for responding to reward-related stimuli. Latent profile analysis was conducted in a transdiagnostic ED sample (N = 104) using Temperament and Character Inventory (Cloninger et al., 1993) subscales to categorize participants on reward responses of behavioral activation towards immediate, hedonic rewards (Novelty Seeking subscale), persistence towards long-term rewards (Persistence subscale), and maintenance by social rewards (Reward Dependence subscale) rewards. Two profiles were identified: (1) Behavioral Activation group (elevated Novelty Seeking; n = 62); and (b) Behavioral Persistence group (elevated Persistence; n = 42). Generalized linear models comparing profiles showed that frequency of these reward response profiles did not differ in probable AN, BN, or OSFED groups; however, individuals with probable BED more often demonstrated the Behavioral Activation profile (p = .041). These profiles exhibited comparable ED severity, but different presentations. Across probable ED diagnoses, the Behavioral Activation group reported greater binge eating (p = .006, d = 0.32) and had higher BMIs (p = .001, d = 0.57); the Behavioral Persistence group endorsed greater driven exercise (p = .042, d = 0.33). Categorization by activation to novel, immediate rewards versus persistence towards long-term rewards was associated with different symptoms across diagnoses, potentially supporting the role of specific reward response profiles in ED phenomenology.

Attentional biases towards food and body stimuli among individuals with disordered eating versus food allergies.

BACKGROUND AND OBJECTIVES: Individuals with disordered eating display heightened attentional biases towards food- and body-related stimuli. However, it is unknown whether these attentional biases reflect maladaptive thinking/eating pathology. We investigated the differences between maladaptive and adaptive ways of thinking about food by assessing food- and body-related attentional biases among individuals with disordered eating, participants with peanut allergies (i.e., individuals who think frequently about food in an adaptive manner), and healthy controls. We also examined the extent to which negative mood and rumination exacerbated attentional biases among those in these groups. METHOD: Three hundred and twenty-one individuals with disordered eating (n = 139), peanut allergies (n = 60), and healthy controls (n = 122) completed food- and body-based Stroop tasks prior to and following a cognitive rumination task designed to increase negative mood. RESULTS: Individuals with disordered eating and individuals with peanut allergies had significantly worse performance on the food and body Stroop tasks relative to healthy controls at baseline (ps < .001). However, there were no perceived differences in performance by group following rumination. LIMITATIONS: The cognitive rumination task heightened negative mood for those in the disordered eating group but not for those in the peanut allergy or healthy control groups. CONCLUSIONS: Findings suggest that frequent thoughts involving food are associated with attentional biases towards food and body stimuli. This appears to be the case regardless of whether these frequent thoughts are due to disordered eating or to fear of an allergic reaction.

A Pilot Study Using Frequent Inpatient Assessments of Suicidal Thinking to Predict Short-Term Postdischarge Suicidal Behavior.

Importance: The weeks following discharge from psychiatric hospitalization are the highest-risk period for suicide attempts. Real-time monitoring of suicidal thoughts via smartphone prompts may be more indicative of short-term risk than a single, cross-sectional assessment. Objective: To test whether modeling dynamic changes in real-time suicidal thoughts during psychiatric hospitalization can improve predictions of postdischarge suicide attempts vs using only baseline (ie, admission) data or using the mean level of real-time suicidal thoughts during hospitalization. Design, Setting, and Participants: In this prognostic study, 83 adults recruited from the inpatient psychiatric unit at Massachusetts General Hospital completed ecological momentary assessment surveys of suicidal thinking 4 to 6 times per day during hospitalization as well as brief follow-up surveys assessing suicide attempts at 2 and 4 weeks after discharge. Participants completed at least 3 real-time monitoring surveys. Inclusion criteria included hospitalization for suicidal thoughts and/or behaviors and English fluency. Data were collected from January 2016 to December 2018 and analyzed from January to December 2020. Main Outcomes and Measures: The primary outcome was suicide attempt in the month after discharge. Results: Of 83 participants (mean [SD] age, 38.4 [13.6] years; 43 [51.8%] male participants; 69 [83.1%] White individuals), 9 (10.8%) made a suicide attempt in the month after discharge. Mean cross-validated AUC for elastic net models revealed predictive accuracy was fair for the model using baseline data (area under the curve [AUC], 0.71; first to third quartile, 0.55-0.88), good for the model using the mean level of real-time suicidal thoughts during hospitalization (AUC, 0.81; first to third quartile, 0.67-0.91), and best for the model using dynamic changes in real-time suicidal thoughts during hospitalization (AUC, 0.89; first to third quartile, 0.81-0.97); this pattern of results held for other classification metrics (eg, accuracy, positive predictive value, Brier score) and when using different cross-validation procedures. Features assessing rapid fluctuations in suicidal thinking emerged as the strongest predictors of posthospital suicide attempts. A final set of models incorporating percentage missingness further improved both the mean (mean AUC, 0.93; first to third quartile, 0.90-1.00) and dynamic feature (mean AUC, 0.93; first to third quartile, 0.88-1.00) models. Conclusions and Relevance: In this study, collecting real-time data about suicidal thinking during the course of hospitalization significantly improved short-term prediction of posthospitalization suicide attempts. Models including dynamic changes in suicidal thinking over time yielded the best prediction; features that captured rapid changes in suicidal thoughts were particularly strong predictors. Survey noncompletion also emerged as an important predictor of posthospitalization suicide attempts.

Do Patterns and Types of Negative Affect During Hospitalization Predict Short-Term Post-Discharge Suicidal Thoughts and Behaviors?

We still have little understanding of short-term predictors of suicidal thoughts and behaviors (STBs). Prior research links increased negative affect to STBs, but the vast majority of earlier work is limited by measuring negative affect at one time point and aiming to predict STBs months or years in the future. Recently, intensive longitudinal studies have shown that negative affect is associated with suicidal thoughts over relatively short, clinically useful time periods; however, the specific patterns and types of negative affect that predict STBs remain unclear. Using ecological momentary assessment (EMA) data from psychiatric inpatients hospitalized for suicide risk (N = 83), this study sought to test whether the patterns (means and variability) of two types of negative affect (anxiety/agitation and shame/self-hatred, which were derived from a larger EMA battery) during hospitalization predict STBs in the four weeks after discharge: an extremely high-risk time for suicidal behavior. The mean - but not the variability - of both anxiety/agitation and shame/self-hatred during hospitalization predicted the number of days with suicidal thoughts after discharge. The mean and the variability of shame/self-hatred - but not anxiety/agitation - predicted post-discharge suicide attempt. We discuss implications for assessment and treatment of suicidal individuals and propose key directions for future research.

Unique Interactions of Interpersonal Trauma and Positive Peer and Family Experiences on Traumatic Distress Among Pediatric Primary Care Patients.

Individuals with histories of interpersonal trauma are at increased risk for posttraumatic stress disorder (PTSD). Risk of PTSD is particularly salient during critical periods of development, such as adolescence and emerging adulthood. However, little is known about the unique effects and interactions of protective factors and interpersonal trauma on PTSD symptoms in adolescents and young adults. The current study tested whether positive peer and family experiences decrease the associations between interpersonal trauma and PTSD symptoms and whether these associations differed by victim-perpetrator relationships. Participants included 3,618 adolescents and young adults (aged 14-24 years) who completed the Behavioral Health Screen-a web-based screening tool that assesses psychiatric symptoms and associated risk factors-during a routine visit across 10 primary care sites in Pennsylvania. In support of the stress buffering hypothesis, results revealed that positive peer and family experiences buffered the effects of interpersonal trauma by a romantic partner and an adult in the home. Future research should examine whether programs aimed at improving peer or family relationships improve outcomes for traumatized youth.

A Socioecological Model of Risk Associated With Campus Sexual Assault in a Representative Sample of Liberal Arts College Students.

Campus sexual assault (CSA) is a growing area of research and public health concern, yet little research has considered the sociocultural context in which CSA occurs or the effect of sociocultural factors on the posttraumatic stress disorder (PTSD) symptoms of CSA survivors. This study describes the results of a web-based census survey administered to students at a liberal arts college. Of the 1,611 students who completed the survey (74% female; 71.4% White, 4.3% African American, 12% Hispanic), 13.5% reported experiencing at least one type of completed or attempted CSA. Female students, participants in Greek life, and students who reported victimization prior to college were more likely to report having experienced CSA. CSA was positively correlated with PTSD symptoms, and this relationship was stronger for racial/ethnic minorities, those who reported less sense of community, and those who were more aware of campus services to address CSA. This study demonstrates multiple levels of sociocultural influence on the mental health of college students who have experienced CSA and may suggest ways for improving prevention and intervention strategies to address CSA and its consequences.

Machine learning enhances prediction of illness course: a longitudinal study in eating disorders.

BACKGROUND: Psychiatric disorders, including eating disorders (EDs), have clinical outcomes that range widely in severity and chronicity. The ability to predict such outcomes is extremely limited. Machine-learning (ML) approaches that model complexity may optimize the prediction of multifaceted psychiatric behaviors. However, the investigations of many psychiatric concerns have not capitalized on ML to improve prognosis. This study conducted the first comparison of an ML approach (elastic net regularized logistic regression) to traditional regression to longitudinally predict ED outcomes. METHODS: Females with heterogeneous ED diagnoses completed demographic and psychiatric assessments at baseline (n = 415) and Year 1 (n = 320) and 2 (n = 277) follow-ups. Elastic net and traditional logistic regression models comprising the same baseline variables were compared in ability to longitudinally predict ED diagnosis, binge eating, compensatory behavior, and underweight BMI at Years 1 and 2. RESULTS: Elastic net models had higher accuracy for all outcomes at Years 1 and 2 [average Area Under the Receiving Operating Characteristics Curve (AUC) = 0.78] compared to logistic regression (average AUC = 0.67). Model performance did not deteriorate when the most important predictor was removed or an alternative ML algorithm (random forests) was applied. Baseline ED (e.g. diagnosis), psychiatric (e.g. hospitalization), and demographic (e.g. ethnicity) characteristics emerged as important predictors in exploratory predictor importance analyses. CONCLUSIONS: ML algorithms can enhance the prediction of ED symptoms for 2 years and may identify important risk markers. The superior accuracy of ML for predicting complex outcomes suggests that these approaches may ultimately aid in advancing precision medicine for serious psychiatric disorders.

Cognitive rigidity and heightened attention to detail occur transdiagnostically in adolescents with eating disorders.

Cognitive inflexibility and attention to detail bias represent a promising target in eating disorder (ED) treatment. While prior research has found that adults with eating disorders exhibit significant cognitive inflexibility and heightened attention to detail, less is known about these cognitive impairments among adolescents, and across EDs transdiagnostically. To address this gap, adolescent females (N = 143) from a residential ED program with anorexia nervosa, bulimia nervosa, or other specified feeding or eating disorder completed the Detail and Flexibility Questionnaire (DFlex) and measures of ED and general psychopathology. Transdiagnostically, adolescents with EDs scored higher than an archival sample of healthy control adolescents on both cognitive rigidity (p < .001; Cohen's d = 1.92) and attention to detail (p < .001; Cohen's d = 1.16). These cognitive impairments were significantly associated with severity of eating pathology, and these relationships existed independent of age, duration of illness, or body mass index (BMI). Our findings suggest cognitive inflexibility and heightened attention to detail occur transdiagnostically in adolescents with eating disorders and are unlikely to be a scar of the disorder. Future prospective research is needed to determine whether these cognitive styles represent an endophenotype of eating disorders.