Current state of scientific evidence on Internet-based interventions for the treatment of depression, anxiety, eating disorders and substance abuse: An overview of systematic reviews and meta-analyses

BACKGROUND: ICare represents a consortium of European Investigators examining the effects of online mental health care for a variety of common mental health disorders provided in a variety of settings. This article provides an overview of the evidence of effectiveness for Internet-based treatment for four common mental health disorders that are the focus of much of this work: depression, anxiety, substance abuse and eating disorders. METHODS: The overview focused primarily on systematic reviews and meta-analyses identified through PubMed (Ovid) and other databases and published in English. Given the large number of reviews specific to depression, anxiety, substance abuse and/or eating disorders, we did not focus on reviews that examined the effects of Internet-based interventions on mental health disorders in general. Each article was reviewed and summarized by one of the senior authors, and this review was then reviewed by the other senior authors. We did not address issues of prevention, cost-effectiveness, implementation or dissemination, as these are addressed in other reviews in this supplement. RESULTS: Across Internet-based intervention studies addressing depression, anxiety, substance abuse and eating disorders primarily among adults, almost all reviews and meta-analyses found that these interventions successfully reduce symptoms and are efficacious treatments. Generally, effect sizes for Internet-based interventions treating eating disorders and substance abuse are lower compared with interventions for depression and anxiety. CONCLUSIONS: Given the effectiveness of Internet-based interventions to reduce symptoms of these common mental health disorders, efforts are needed to examine issues of how they can be best disseminated and implemented in a variety of health care and other settings

“I just want to be skinny.”: A content analysis of tweets expressing eating disorder symptoms

There is increasing concern about online communities that promote eating disorder (ED) behaviors through messages and/or images that encourage a “thin ideal” (i.e., promotion of thinness as attractive) and harmful weight loss/weight control practices. The purpose of this paper is to assess the content of body image and ED-related content on Twitter and provide a deeper understanding of EDs that may be used for future studies and online-based interventions. Tweets containing ED or body image-related keywords were collected from January 1-January 31, 2015 (N = 28,642). A random sample (n = 3000) was assessed for expressions of behaviors that align with subscales of the Eating Disorder Examination (EDE) 16.0. Demographic characteristics were inferred using a social media analytics company. The comprehensive research that we conducted indicated that 2,584 of the 3,000 tweets were ED-related; 65% expressed a preoccupation with body shape, 13% displayed issues related to food/eating/calories, and 4% expressed placing a high level of importance on body weight. Most tweets were sent by girls (90%) who were ≤19 years old (77%). Our findings stress a need to better understand if and how ED-related content on social media can be used for targeting prevention and intervention messages towards those who are in-need and could potentially benefit from these efforts.</div

Objectified body consciousness in relation to recovery from an eating disorder

In Western society, the feminine body has been positioned as an object to be looked at and sexually gazed upon; thus, females often learn to view themselves as objects to be observed (i.e., objectified body consciousness (OBC)). This study examined the relation between OBC and eating disorder recovery by comparing its components across non-eating disorder controls, fully recovered, partially recovered, and active eating disorder cases. Results revealed that non-eating disorder controls and fully recovered individuals had similarly low levels of two components of OBC, body surveillance and body shame. Partially recovered individuals looked more similar to those with an active eating disorder on these constructs. The third component of OBC, control beliefs, and a conceptually similar construct, weight/shape self-efficacy, did not differ across groups. Results provide support for the importance of measuring aspects of self-objectification, particularly body surveillance and body shame, across the course of an eating disorder

Eating Expectancies in Relation to Eating Disorder Recovery

This study examined the relation between eating expectancies, assessed via the Eating Expectancy Inventory, and eating disorder recovery. Individuals formerly seen for an eating disorder were categorized as having an active eating disorder (n = 53), as partially recovered (n = 15), or as fully recovered (n = 20). The expectancies of these groups were compared to each other and to 67 non-eating disorder controls. Results revealed that three of the five eating expectancies differed across groups. Non-eating disorder controls and fully recovered individuals endorsed similar levels of the expectancies that eating helps manage negative affect, eating is pleasurable and useful as a reward, and eating leads to feeling out of control. Partially recovered individuals looked more similar to active eating disorder cases on these expectancies. The other two expectancies did not differ across groups. Results provide some indication that certain eating expectancies may be associated with eating disorder recovery

A systematic digital approach to implementation and dissemination of eating disorders interventions to large populations identified through online screening: Implications for post-traumatic stress

Background: We describe an approach to implementation and dissemination that focuses on changing outcomes variables within a large, defined population and attempts to provide cost-effective opportunities and resources-which might include the provision of both digital and traditional interventions-to address individual needs and interests. We present a case example of how aspects of this model are being applied to increase reach, engagement and outcomes for individuals who complete a national eating disorders screen, and are likely to have an eating disorder but who are not in treatment. We then describe how this model can apply to post-traumatic stress (PTS) and conclude with a discussion of limitations and issues with the model. Methods: The National Eating Disorders Association (NEDA) provides online screening for eating disorders. Results: From February 2017 through March 2018, over 200,000 individuals completed the NEDA screen. Of these, 96% screened positive or at risk for an eating disorder, and most of those who screened positive for a clinical/subclinical eating disorder were not currently in treatment. Less than 10% engaged in self-help or guided self-help online digital program, or expressed interest in calling a helpline for referral to treatment. Conclusions: A systematic digital approach to implementation and dissemination has the potential to increase the number of individuals who benefit from interventions in defined populations. Uptake rates need to be improved

Exploring social media recruitment strategies and preliminary acceptability of an mHealth tool for teens with eating disorders

(1) Background: The current study leveraged social media to connect with teens with EDs to identify population specific characteristics and to gather feedback on an mHealth intervention. (2) Methods: We recruited teens with EDs from social media in two phases: (1) Discovery Group, (2) Testing Group. The Discovery Group

Negative affective experiences in relation to stages of eating disorder recovery

The purpose of this study was to examine a collection of negative affect symptoms in relation to stages of eating disorder recovery. Depressive symptoms, anxiety symptoms, loneliness, and perceived stress are known to be present in individuals with eating disorders; however, less is known about the presence of such constructs throughout the recovery process. Does this negative affect fog continue to linger in individuals who have recovered from an eating disorder? Female participants seen at some point for an eating disorder at a primary care clinic were categorized into one of three groups using a stringent definition of eating disorder recovery based on physical, behavioral, and psychological criteria: active eating disorder (n =53), partially recovered (n =15; psychological criteria not met), and fully recovered (n =20; all recovery criteria met). Additionally, data were obtained from 67 female controls who had no history of an eating disorder. Self-report data indicated that controls and women fully recovered from an eating disorder scored significantly lower than partially recovered and active eating disorder groups in perceived stress, depression, and anxiety. Controls and the fully recovered group were statistically indistinguishable from each other in these domains, as were the partially recovered and active eating disorder groups, suggesting an interesting divide depending on whether psychological criteria (e.g., normative levels of weight/shape concern) were met. In contrast, controls and fully recovered and partially recovered groups all reported feeling significantly less lonely relative to those with an active eating disorder suggesting that improved perceptions of interpersonal, social support may act as a stepping stone toward more comprehensive eating disorder recovery. Future research may want to longitudinally determine if an increase in actual or perceived social support facilitates the movement toward full recovery and whether this, in turn, has salutatory effects on depression, anxiety, and perceived stress

Mediators of the relationship between thin-ideal internalization and body dissatisfaction in the natural environment

Social comparisons (i.e., body, eating, exercise) and body surveillance were tested as mediators of the thin-ideal internalization-body dissatisfaction relationship using ecological momentary assessment (EMA). Participants were 232 college women who completed a 2-week EMA protocol, responding to questions three times per day. Multilevel path analysis was used to examine a 2-1-1 mediation model (thin-ideal internalization assessed as trait; between-person effects examined) and a 1-1-1 model (component of thin-ideal internalization [thin-ideal importance] assessed momentarily; within- and between-person effects examined). For the 2-1-1 model, only body comparison and body surveillance were significant specific mediators of the between-person effect. For the 1-1-1 model, all four variables were significant specific mediators of the within-person effect. Only body comparison was a significant specific mediator of the between-person effect. At the state level, many processes explain the thin-ideal internalization-body dissatisfaction relationship. However, at the trait level, body comparison and body surveillance are more important explanatory factors

A framework for applying natural language processing in digital health interventions

BACKGROUND: Digital health interventions (DHIs) are poised to reduce target symptoms in a scalable, affordable, and empirically supported way. DHIs that involve coaching or clinical support often collect text data from 2 sources: (1) open correspondence between users and the trained practitioners supporting them through a messaging system and (2) text data recorded during the intervention by users, such as diary entries. Natural language processing (NLP) offers methods for analyzing text, augmenting the understanding of intervention effects, and informing therapeutic decision making. OBJECTIVE: This study aimed to present a technical framework that supports the automated analysis of both types of text data often present in DHIs. This framework generates text features and helps to build statistical models to predict target variables, including user engagement, symptom change, and therapeutic outcomes. METHODS: We first discussed various NLP techniques and demonstrated how they are implemented in the presented framework. We then applied the framework in a case study of the Healthy Body Image Program, a Web-based intervention trial for eating disorders (EDs). A total of 372 participants who screened positive for an ED received a DHI aimed at reducing ED psychopathology (including binge eating and purging behaviors) and improving body image. These users generated 37,228 intervention text snippets and exchanged 4285 user-coach messages, which were analyzed using the proposed model. RESULTS: We applied the framework to predict binge eating behavior, resulting in an area under the curve between 0.57 (when applied to new users) and 0.72 (when applied to new symptom reports of known users). In addition, initial evidence indicated that specific text features predicted the therapeutic outcome of reducing ED symptoms. CONCLUSIONS: The case study demonstrates the usefulness of a structured approach to text data analytics. NLP techniques improve the prediction of symptom changes in DHIs. We present a technical framework that can be easily applied in other clinical trials and clinical presentations and encourage other groups to apply the framework in similar contexts

Subjective and Objective Binge Eating in Relation to Eating Disorder Symptomatology, Depressive Symptoms, and Self-Esteem among Treatment-Seeking Adolescents with Bulimia Nervosa: Subjective and Objective Binge Eating

This study investigated the importance of the distinction between objective (OBE) and subjective binge eating (SBE) among 80 treatment-seeking adolescents with bulimia nervosa (BN). We explored relationships among OBEs, SBEs, eating disorder (ED) symptomatology, depression, and self-esteem using two approaches. Group comparisons showed that OBE and SBE groups did not differ on ED symptoms or self-esteem; however, the SBE group had significantly greater depression. Examining continuous variables, OBEs (not SBEs) accounted for significant unique variance in global ED pathology, vomiting, and self-esteem. SBEs (not OBEs) accounted for significant unique variance in restraint and depression. Both OBEs and SBEs accounted for significant unique variance in eating concern; neither accounted for unique variance in weight/shape concern, laxative use, diuretic use, or driven exercise. Loss of control, rather than amount of food, may be most important in defining binge eating. Additionally, OBEs may indicate broader ED pathology while SBEs may indicate restrictive/depressive symptomatology