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).
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.
Abstract Objective Dieting and unhealthy weight control behaviors have been associated with negative outcomes. Most research has examined the prevalence of these behaviors in adolescence and young adulthood. Less is known about whether they persist further into adulthood. We examined patterns of weight control behaviors beyond young adulthood using data from 1,455 males and females participating in Project EAT (Eating and Activity in Teens and Young Adults), a 15‐year population‐based, longitudinal study. Method Participants completed surveys assessing dieting, high‐frequency dieting (i.e., 5+ times/year), unhealthy weight control (e.g., fasting), and extreme weight control (e.g., vomiting) at each 5‐year assessment (Waves 1–4). Longitudinal logistic regression models tested trends in weight control behaviors across the waves. Likelihood of persisting or discontinuing each behavior from Wave 3 to Wave 4 was examined through cross tabulations. Results Between Waves 3 and 4 in adulthood, dieting increased for both genders (Women: p < .001; Men: p = .004) and high‐frequency dieting ( p < .001) and unhealthy weight control behaviors ( p = .011) increased for men. For both genders, dieting and unhealthy weight control patterns initiated in prior to young adulthood were more likely to persist than cease in adulthood ( p s < .001). Discussion Weight control behaviors continue to be prevalent in adulthood, and to especially increase among men. Research is needed to understand the consequences of weight control behaviors in different life stages; however, the results suggest that interventions to decrease unhealthy weight management practices may be needed well into adulthood.
Abstract Objective Eating disordered (ED) behaviors (i.e., binge eating, compensatory behaviors, restrictive eating) and nonsuicidal self‐injury (NSSI; intentional and nonsuicidal self‐harm) are highly comorbid and share several similarities, including consequent pain and physical damage. However, whereas NSSI is considered direct self‐harm, ED behaviors are considered indirect self‐harm. These distinctions stem from theoretical understanding that NSSI is enacted to cause physical harm in the moment, whereas ED behaviors are enacted for other reasons, with consequent physical harm occurring downstream of the behaviors. We sought to build on these theoretically informed classifications by assessing a range of self‐harming intentions across NSSI and ED behaviors. Method Study recruitment was conducted via online forums. After screening for inclusion criteria, 151 adults reported on their intent to and knowledge of causing physical harm in the short‐ and long‐term and suicide and death related cognitions and intentions when engaging in NSSI and specific ED behaviors. Results Participants reported engaging in ED and NSSI behaviors with intent to hurt themselves physically in the moment and long‐term, alongside thoughts of suicide, and with some hope and knowledge of dying sooner due to these behaviors. Distinctions across behaviors also emerged. Participants reported greater intent to cause physical harm in the moment via NSSI and in the long‐run via restrictive eating. NSSI and restrictive eating were associated with stronger endorsement of most suicide and death‐related intentions than binge eating or compensatory behaviors. Conclusions Findings shed light on classification of self‐harming behaviors, casting doubt that firm boundaries differentiate direct and indirectly self‐harming behaviors.
The Self-Injurious Thoughts and Behaviors Interview (SITBI) is a widely used measure of the presence, frequency, and characteristics of suicide and self-harming thoughts and behaviors. In response to advances in the conceptualization of these outcomes, and the potential for online data collection, we created a revised version of the SITBI (SITBI-R) and tested its psychometric properties via in-person interview and online self-report formats. Across two studies, the SITBI-R demonstrated strong psychometric properties for both assessment formats. In Study 1, outcomes measured via the SITBI-R showed convergent validity with those assessed with the Columbia Suicide Severity Rating Scale, another interview assessing suicidal thoughts and behaviors. The SITBI-R also showed strong alternate-forms reliability across nearly all outcomes assessed via both assessment formats. In Study 2, the SITBI-R showed strong test-retest reliability via the online assessment format. Across both studies, reliability was strongest for more recent outcomes (e.g., past year vs. lifetime) and for more commonly assessed outcomes of suicidal thoughts, plans, and attempts than for other, less commonly assessed behaviors (e.g., suicide gestures, interrupted suicide attempts, and aborted suicide attempts). The results of these two studies suggest that the SITBI-R provides reliable and valid measurement of key self-injurious outcomes both in person and online. (PsycInfo Database Record (c) 2020 APA, all rights reserved).
Background: Adolescent suicidality is a growing public health concern. Although evidence supports a link between anxiety and suicidality, little is known about risk associated with specific anxiety disorders. Aims: This study examined the prevalence of anxiety disorders in a sample of adolescents with depression and suicidal ideation and the associations between specific anxiety disorders and suicide ideation severity and attempt history. Method: The sample consisted of 115 adolescents (Mage = 14.96 years; 55.8% African American) entering a clinical trial for suicidal ideation and depressive symptoms. Prior to treatment, adolescents completed self-report and interview measures. Results: In all, 48% of the sample met criteria for an anxiety disorder, 22% met criteria for social anxiety disorder (SAD), and 40% met criteria for major depressive disorder (MDD). SAD was uniquely associated with more severe suicidal ideation. Limitations: Findings may not generalize to all suicidal adolescents, and non-measured variables may account for the observed relationships. Conclusion: Future research should examine whether targeting social anxiety would improve treatment response for suicidal adolescents.
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.
There is concern that the COVID-19 pandemic may cause increased risk of suicide. In the current study, we tested whether suicidal thinking has increased during the COVID-19 pandemic and whether such thinking was predicted by increased feelings of social isolation. In a sample of 55 individuals recently hospitalized for suicidal thinking or behaviors and participating in a 6-month intensive longitudinal smartphone monitoring study, we examined suicidal thinking and isolation before and after the COVID-19 pandemic was declared a national emergency in the United States. We found that suicidal thinking increased significantly among adults (odds ratio [ OR] = 4.01, 95% confidence interval [CI] = [3.28, 4.90], p < .001) but not adolescents ( OR = 0.84, 95% CI = [0.69, 1.01], p = .07) during the onset of the COVID-19 pandemic. Increased feelings of isolation predicted suicidal thinking during the pandemic phase. Given the importance of social distancing policies, these findings support the need for digital outreach and treatment.
