Eating disorder symptoms and comorbid mental health risk among teens recruited to a digital intervention research study via two online approaches.

INTRODUCTION: It is crucial to identify and evaluate feasible, proactive ways to reach teens with eating disorders (EDs) who may not otherwise have access to screening or treatment. This study aimed to explore the feasibility of recruiting teens with EDs to a digital intervention study via social media and a publicly available online ED screen, and to compare the characteristics of teens recruited by each approach in an exploratory fashion. METHOD: Teens aged 14-17 years old who screened positive for a clinical/subclinical ED or at risk for an ED and who were not currently in ED treatment completed a baseline survey to assess current ED symptoms, mental health comorbidities, and barriers to treatment. Bivariate analyses were conducted to examine differences between participants recruited via social media and those recruited after completion of a widely available online EDs screen (i.e., National Eating Disorders Association [NEDA] screen). RESULTS: Recruitment of teens with EDs using the two online approaches was found to be feasible, with 934 screens completed and a total of 134 teens enrolled over 6 months: 77% (n = 103) via social media 23% (n = 31) via the NEDA screen. Mean age of participants (N = 134) was 16 years old, with 49% (n = 66) identifying as non-White, and 70% (n = 94) identifying as a gender and/or sexual minority. Teens from NEDA reported higher ED psychopathology scores (medium effect size) and more frequent self-induced vomiting and driven exercise (small effect sizes). Teens from NEDA also endorsed more barriers to treatment, including not feeling ready for treatment and not knowing where to find a counselor or other resources (small effect sizes). DISCUSSION: Online recruitment approaches in this study reached a large number of teens with an interest in a digital intervention to support ED recovery, demonstrating the feasibility of these outreach methods. Both approaches reached teens with similar demographic characteristics; however, teens recruited from NEDA reported higher ED symptom severity and barriers to treatment. Findings suggest that proactive assessment and intervention methods should be developed and tailored to meet the needs of each of these groups. PUBLIC SIGNIFICANCE: This study examined the feasibility of recruiting teens with EDs to a digital intervention research study via social media and NEDA's online screen, and demonstrated differences in ED symptoms among participants by recruitment approach.

Action recommendations review in community-based therapy and depression and anxiety outcomes: a machine learning approach.

BACKGROUND: While the positive impact of homework completion on symptom alleviation is well-established, the pivotal role of therapists in reviewing these assignments has been under-investigated. This study examined therapists' practice of assigning and reviewing action recommendations in therapy sessions, and how it correlates with patients' depression and anxiety outcomes. METHODS: We analyzed 2,444 therapy sessions from community-based behavioral health programs. Machine learning models and natural language processing techniques were deployed to discern action recommendations and their subsequent reviews. The extent of the review was quantified by measuring the proportion of session dialogues reviewing action recommendations, a metric we refer to as "review percentage". Using Generalized Estimating Equations modeling, we evaluated the correlation between this metric and changes in clients' depression and anxiety scores. RESULTS: Our models achieved 76% precision in capturing action recommendations and 71.1% in reviewing them. Using these models, we found that therapists typically provided clients with one to eight action recommendations per session to engage in outside therapy. However, only half of the sessions included a review of previously assigned action recommendations. We identified a significant interaction between the initial depression score and the review percentage (p = 0.045). When adjusting for this relationship, the review percentage was positively and significantly associated with a reduction in depression score (p = 0.032). This suggests that more frequent review of action recommendations in therapy relates to greater improvement in depression symptoms. Further analyses highlighted this association for mild depression (p = 0.024), but not for anxiety or moderate to severe depression. CONCLUSIONS: An observed positive association exists between therapists' review of previous sessions' action recommendations and improved treatment outcomes among clients with mild depression, highlighting the possible advantages of consistently revisiting therapeutic homework in real-world therapy settings. Results underscore the importance of developing effective strategies to help therapists maintain continuity between therapy sessions, potentially enhancing the impact of therapy.

Rates and correlates of study enrolment and use of a chatbot aimed to promote mental health services use for eating disorders following online screening.

OBJECTIVE: We developed a chatbot aimed to facilitate mental health services use for eating disorders (EDs) and offered the opportunity to enrol in a research study and use the chatbot to all adult respondents to a publicly available online ED screen who screened positive for clinical/subclinical EDs and reported not currently being in treatment. We examined the rates and correlates of enrolment in the study and uptake of the chatbot. METHOD: Following screening, eligible respondents (≥18 years, screened positive for a clinical/subclinical ED, not in treatment for an ED) were shown the study opportunity. Chi-square tests and logistic regressions explored differences in demographics, ED symptoms, suicidality, weight, and probable ED diagnoses between those who enroled and engaged with the chatbot versus those who did not. RESULTS: 6747 respondents were shown the opportunity (80.0% of all adult screens). 3.0% enroled, of whom 90.2% subsequently used the chatbot. Enrolment and chatbot uptake were more common among respondents aged ≥25 years old versus those aged 18-24 and less common among respondents who reported engaging in regular dietary restriction. CONCLUSIONS: Overall enrolment was low, yet uptake was high among those that enroled and did not differ across most demographics and symptom presentations. Future directions include evaluating respondents' attitudes towards treatment-promoting tools and removing barriers to uptake.

Longitudinal relationships between sub-clinical depression, sub-clinical eating disorders and health-related quality of life in early adolescence.

OBJECTIVE: A comprehensive understanding of the relationship between depressive symptoms and eating disorder (ED) symptoms requires consideration of additional variables that may influence this relationship. Health-related quality of life (HRQOL) has been associated with both depression and EDs; however, there is limited evidence to demonstrate how all three variables interact over time. This study sought to explore the bi-directional relationships between depressive symptoms, ED symptoms and HRQOL in a large community sample of young adolescents METHOD: Adolescents (N = 1393) aged between 11 and 14 years (M = 12.50, SD = 0.38) completed an online survey measuring depressive symptoms, ED symptoms and HRQOL. Two-level autoregressive cross-lagged models with three variables (i.e., depressive symptoms, HRQOL and ED) assessed across two time points (T1 and T2) were created to address the study aims. RESULTS: HRQOL was found to predict depressive symptoms and depressive symptoms were found to predict ED symptoms. Components of HRQOL (i.e., social relationships and ability to cope) were found to share a differential relationship with depressive symptoms. Inability to cope predicted depressive symptoms and depressive symptoms predicted negative social relationships. EDs were found to predict reduced HRQOL and negative social relationships. DISCUSSION: Findings suggest prevention and early intervention programs designed to address adolescent depression should focus on improving HRQOL. Future research should assess the relationship between HRQOL and individual ED symptoms (e.g., body-related ED symptoms, restrictive symptoms) as a means of exploring relationships that may have been masked by assessing ED symptoms using a total score. PUBLIC SIGNIFICANCE: This study sought to explore how eating disorders, depressive symptoms, and health-related quality of life (HRQOL) relate over time in a sample of young adolescents. Findings indicate adolescents who self-reported lower levels of HRQOL, including a reduced ability to cope, are at risk of experiencing depressive symptoms. Adolescents should be provided with the tools to develop problem-focused coping strategies as a means of reducing depressive symptoms.

A pilot randomized controlled trial of a cognitive-behavioral therapy guided self-help mobile app for the post-acute treatment of anorexia nervosa: A registered report.

INTRODUCTION: Relapse following acute treatment for anorexia nervosa (AN) is common. Evidence suggests cognitive-behavioral therapy (CBT) may be useful in the post-acute period, but few patients have access to trained providers. mHealth technologies have potential to increase access to high-quality care for AN, including in the post-acute period. The aim of this study is to estimate the preliminary feasibility and effectiveness of a CBT-based mobile intervention plus treatment as usual (TAU), offered with and without an accompanying social networking feature. METHOD: In the current pilot randomized controlled trial, women with AN who have been discharged from acute treatment in the past 2 months (N = 90) will be randomly assigned to a CBT-based mobile intervention plus treatment as usual (TAU), a CBT-based mobile intervention including social networking plus TAU, or TAU alone. We will examine feasibility, acceptability, and preliminary effectiveness of the three conditions in terms of reducing eating disorder psychopathology, reducing frequency of eating disorder behaviors, achieving weight maintenance, reducing depression and suicidal ideation, and reducing clinical impairment. We will examine rehospitalization and full recovery rates in an exploratory fashion. We will also examine whether the mobile intervention and social networking feature change the proposed targets and whether changes in targets are associated with benefit, as well as conduct exploratory analyses to identify within-mobile intervention predictors and moderators of outcome. DISCUSSION: Ultimately, this research may lead to increased access to evidence-based treatment for individuals with AN and prevention of the extreme negative consequences that can result from this serious disorder. PUBLIC SIGNIFICANCE: Relapse after acute treatment for anorexia nervosa is common, and few patients have access to trained providers to support them following acute care. This study will pilot a coached mobile app, including a social networking component, for this population. If ultimately successful, our approach could greatly increase access to evidence-based treatment for individuals with anorexia nervosa and ultimately prevent the extreme negative consequences that can result from this serious disorder.

Preferred treatment focus among college students with eating disorders and comorbid mental health problems in a digital cognitive-behavioral guided self-help program.

OBJECTIVE: To examine the mental health problems that college students with eating disorders (EDs) and comorbid depression and/or anxiety disorders preferred to target first in a digital treatment program and explore correlates of preferred treatment focus. METHODS: Four hundred and eighty nine college student users of a digital cognitive-behavioral guided self-help program targeting common mental health problems (76.7% female, Mage = 20.4 ± 4.4, 64.8% White) screened positive for an ED and ≥one other clinical mental health problem (i.e., depression, generalized anxiety disorder, social phobia, and/or panic disorder). Students also reported on insomnia, post-traumatic stress, alcohol use, and suicide risk. Before treatment, they indicated the mental health problem that they preferred to target first in treatment. Preferred treatment focus was characterized by diagnostic profile (i.e., ED + Depression, ED + Anxiety, ED + Depression + Anxiety), symptom severity, and demographics. RESULTS: 58% of students with ED + Anxiety, 47% of those with ED + Depression, and 27% of those with ED + Depression + Anxiety chose to target EDs first. Across diagnostic profiles, those who chose to target EDs first had more severe ED symptoms than those who chose to target anxiety or depression (ps < .05). Among students with ED + Depression + Anxiety, those who chose to target EDs first had lower depression symptoms than those who chose to target depression, lower generalized anxiety than those who chose to target anxiety, and lower suicidality than those who chose to target anxiety or depression (ps < .01). CONCLUSIONS: Students with EDs and comorbid depression and/or anxiety disorders showed variable preferred treatment focus across diagnostic profiles. Research should explore specific symptom presentations associated with preferred treatment focus. PUBLIC SIGNIFICANCE: Findings indicate that a sizable percentage of college students with depression/anxiety who also have EDs prefer to target EDs first in treatment, highlighting the importance of increasing availability of ED interventions to college students. Students with EDs and comorbid depression and/or anxiety disorders showed variable preferred treatment focus across diagnostic profiles, and preference to target EDs was associated with greater ED psychopathology across diagnostic profiles.

Digital guided self-help for eating disorders: thematic analysis of participant text messages to coaches.

Digital guided self-help for eating disorders (GSH-ED) can reduce treatment disparities. Understanding program participants' interests throughout the program can help adapt programs to the service users' needs. Participants were 383 college students receiving a digital GSH-ED, who were each assigned a coach to help them better utilize the intervention through text correspondence. A thematic and affective analysis of the texts participants had sent found they primarily focused on: strategies for changing their ED-related cognitions, behaviors, and relationships; describing symptoms without expressing an active endeavor to change; and participants' relationship with their coach. Most texts also expressed affect, demonstrating emotional engagement with the intervention. Findings suggest that participants in GSH-ED demonstrate high involvement with the intervention, and discuss topics that are similar to those reported in clinician-facilitated interventions. The themes discussed by digital program participants can inform future iterations of GSH-ED, thereby increasing scalability and accessibility of digital evidence-based ED interventions.

Estimated prevalence of eating disorders in Malaysia based on a diagnostic screen.

Eating disorders (EDs) are debilitating health conditions and common across cultures. Recent reports suggest that about 14.0% of university students in Malaysia are at risk for developing an ED, and that prevalence may differ by ethnicity and gender. However, less is known about the prevalence of EDs in nonuniversity populations. OBJECTIVE: The current study seeks to (1) estimate the prevalence of EDs and ED risk status among adults in Malaysia using an established diagnostic screen; (2) examine gender and ethnic differences between ED diagnostic/risk status groups; and (3) characterize the clinical profile of individuals who screen positive for an ED. METHOD: We administered the Stanford-Washington University Eating Disorder Screen, an online ED screening tool, to adults in Malaysia in September 2020. RESULTS: ED risk/diagnostic categories were assigned to 818 participants (ages 18-73 years) of which, 0.8% screened positive for anorexia nervosa, 1.4% for bulimia nervosa, 0.1% for binge-ED, 51.4% for other specified feeding or ED, and 4.8% for avoidant/restrictive food intake disorder. There was gender parity in the high risk and the overall ED categories. The point prevalence of positive eating pathology screening among Malays was significantly higher than Chinese but no different from Indians. DISCUSSION: This is the first study to estimate the prevalence of EDs using a diagnostic screen in a population-based sample of Malaysians. It is concerning that over 50% of Malaysians reported symptoms of EDs. This study highlights the need to invest more resources in understanding and managing eating pathology in Malaysia. PUBLIC SIGNIFICANCE: This study estimates the prevalence of EDs among adults in Malaysia using an online EDs screen. Over 50% of Malaysians report symptoms of EDs. The study highlights the need for more resources and funding to address this important public health issue through surveillance, prevention, and treatment of EDs in Malaysia.

Effectiveness of a chatbot for eating disorders prevention: A randomized clinical trial.

OBJECTIVE: Prevention of eating disorders (EDs) is of high importance. However, digital programs with human moderation are unlikely to be disseminated widely. The aim of this study was to test whether a chatbot (i.e., computer program simulating human conversation) would significantly reduce ED risk factors (i.e., weight/shape concerns, thin-ideal internalization) in women at high risk for an ED, compared to waitlist control, as well as whether it would significantly reduce overall ED psychopathology, depression, and anxiety and prevent ED onset. METHOD: Women who screened as high risk for an ED were randomized (N = 700) to (1) chatbot based on the StudentBodies© program; or (2) waitlist control. Participants were followed for 6 months. RESULTS: For weight/shape concerns, there was a significantly greater reduction in intervention versus control at 3- (d = -0.20; p = .03) and 6-m-follow-up (d = -0.19; p = .04). There were no differences in change in thin-ideal internalization. The intervention was associated with significantly greater reductions than control in overall ED psychopathology at 3- (d = -0.29; p = .003) but not 6-month follow-up. There were no differences in change in depression or anxiety. The odds of remaining nonclinical for EDs were significantly higher in intervention versus control at both 3- (OR = 2.37, 95% CI [1.37, 4.11]) and 6-month follow-ups (OR = 2.13, 95% CI [1.26, 3.59]). DISCUSSION: Findings provide support for the use of a chatbot-based EDs prevention program in reducing weight/shape concerns through 6-month follow-up, as well as in reducing overall ED psychopathology, at least in the shorter-term. Results also suggest the intervention may reduce ED onset. PUBLIC SIGNIFICANCE: We found that a chatbot, or a computer program simulating human conversation, based on an established, cognitive-behavioral therapy-based eating disorders prevention program, was successful in reducing women's concerns about weight and shape through 6-month follow-up and that it may actually reduce eating disorder onset. These findings are important because this intervention, which uses a rather simple text-based approach, can easily be disseminated in order to prevent these deadly illnesses. TRIAL REGISTRATION: OSF Registries; https://osf.io/7zmbv.

Predictors of treatment seeking and uptake among respondents to a widely disseminated online eating disorders screen in the United States.

OBJECTIVE: To explore predictors of treatment seeking and uptake among individuals following an online eating disorders (EDs) screen in the U.S. disseminated by the National Eating Disorders Association. METHOD: Respondents who screened at risk or positive for a probable ED from 04/2019 to 05/2021 (N = 263,530) were eligible to complete a 2-month follow-up survey that assessed treatment seeking and uptake after being offered referral options following screening. Analyses were conducted using chi-square tests or logistic regressions. RESULTS: Sixty thousand thirty-four respondents (22.8%) opted-in to the follow-up survey, of whom 2276 (3.8%) completed it. Of the final analytic sample (n = 1922), 35.7% of respondents reported seeking and 22.4% reported receiving treatment. Treatment seeking and uptake were more common among respondents who were female, White, or >24 years of age; uptake was more common among respondents who were non-Hispanic or higher income. Elevated shape/weight concerns were significantly, albeit modestly, associated with reduced likelihood to receive treatment. DISCUSSION: Demographic differences in treatment seeking and uptake highlight the need to optimize ED screening tools/feedback to meet the needs of underserved groups and to address stereotypes and structural barriers that may interfere. Research is also needed to identify barriers to uptake among those with elevated shape/weight concerns. PUBLIC SIGNIFICANCE: Relatively low rates of treatment seeking and uptake were observed, particularly among underserved groups, 2 months following a widely disseminated online eating disorders screen. Optimization of online eating disorder screening tools and delivery of feedback and referral information may be needed to increase health care utilization.

Development and usability testing of a chatbot to promote mental health services use among individuals with eating disorders following screening.

OBJECTIVE: A significant gap exists between those who need and those who receive care for eating disorders (EDs). Novel solutions are needed to encourage service use and address treatment barriers. This study developed and evaluated the usability of a chatbot designed for pairing with online ED screening. The tool aimed to promote mental health service utilization by improving motivation for treatment and self-efficacy among individuals with EDs. METHODS: A chatbot prototype, Alex, was designed using decision trees and theoretically-informed components: psychoeducation, motivational interviewing, personalized recommendations, and repeated administration. Usability testing was conducted over four iterative cycles, with user feedback informing refinements to the next iteration. Post-testing, participants (N= 21) completed the System Usability Scale (SUS), the Usefulness, Satisfaction, and Ease of Use Questionnaire (USE), and a semi-structured interview. RESULTS: Interview feedback detailed chatbot aspects participants enjoyed and aspects necessitating improvement. Feedback converged on four themes: user experience, chatbot qualities, chatbot content, and ease of use. Following refinements, users described Alex as humanlike, supportive, and encouraging. Content was perceived as novel and personally relevant. USE scores across domains were generally above average (~5 out of 7), and SUS scores indicated "good" to "excellent" usability across cycles, with the final iteration receiving the highest average score. DISCUSSION: Overall, participants generally reflected positively on interactions with Alex, including the initial version. Refinements between cycles further improved user experiences. This study provides preliminary evidence of the feasibility and acceptance of a chatbot designed to promote motivation for and use of services among individuals with EDs. PUBLIC SIGNIFICANCE: Low rates of service utilization and treatment have been observed among individuals following online eating disorder screening. Tools are needed, including scalable, digital options, that can be easily paired with screening, to improve motivation for addressing eating disorders and promote service utilization.

Indicated Web-Based Prevention for Women With Anorexia Nervosa Symptoms: Randomized Controlled Efficacy Trial.

BACKGROUND: Although preventive interventions for eating disorders in general have shown promise, interventions specifically targeting individuals at risk for anorexia nervosa (AN) are lacking. OBJECTIVE: The aim of this study was to determine the efficacy of a guided, indicated web-based prevention program for women at risk for AN. METHODS: We conducted a randomized controlled efficacy trial for women at risk for AN. Assessments were carried out at baseline (before the intervention), after the intervention (10 weeks after baseline), and at 6- and 12-month follow-ups (FUs). A total of 168 women with low body weight (17.5 kg/m2≤BMI≤19 kg/m2) and high weight concerns or with normal body weight (19 kg/m2

Estimated prevalence of eating disorders in Singapore.

OBJECTIVE: There is a lack of research on the prevalence of eating disorders (EDs) in Singapore. The aims of our study were to (a) estimate the prevalence of EDs, risk status, and help-seeking behaviors among adults in Singapore, (b) examine gender differences between ED status groups, and (c) characterize clinical profiles of ED status groups. METHOD: We administered a cross-sectional survey that included a validated EDs screening tool to adults in Singapore. RESULTS: A total of 797 Singaporean adults ages 21-77 years completed the ED screen. The majority of participants screened positive for a current DSM-5 clinical ED (6.2%), other specified feeding or ED (37.0%) or at high risk of developing an ED (19.5%). Only 1.6% of those who screened positive for an ED reported currently being in treatment. The ratio of males to females who screened positive for an ED was nearly 1:1. The clinical profiles of ED groups were consistent with the clinical presentations found in Western nations. DISCUSSION: This is the first study in Singapore to estimate the prevalence of EDs in a large sample of adults. Results highlight the urgent need for more ED research and expansion of prevention and treatment programs to address the high prevalence of ED psychopathology in Singapore.

Comparing eating disorder characteristics and treatment in self-identified competitive athletes and non-athletes from the National Eating Disorders Association online screening tool.

OBJECTIVE: We compared eating disorder (ED) characteristics and treatment seeking behaviors between self-identified competitive athletes and non-athletes in a large, community-based sample. METHOD: During the 2018 National Eating Disorders Awareness Week, 23,920 respondents, 14.7% of whom identified as competitive athletes, completed the National Eating Disorders Association online screen. Data were collected on demographics, disordered eating behaviors, probable ED diagnosis/risk, treatment history, and intent to seek treatment. RESULTS: The sample was predominantly White (81.8%), female (90.3%), and between 13 and 24 years (82.6%). Over 86% met criteria for an ED/subthreshold ED, and of those, only 2.5% were in treatment. Suicidal ideation was reported in over half of the sample. Athletes reported a significantly greater likelihood of engaging in and more frequent excessive exercise episodes than non-athletes. Athletes also reported a significantly lower likelihood of engaging in and less frequent binge-eating episodes compared with non-athletes. Athletes were more likely to screen positive for an ED/subthreshold ED than non-athletes, but percentages across all probable ED diagnoses were similar. No significant differences between athletes and non-athletes emerged on treatment history or intention to seek treatment post-screen (less than 30%). DISCUSSION: Although the distribution of probable ED diagnoses was similar in athletes and non-athletes, symptom profiles related to disordered eating behavior engagement and frequency may differ. Athletes may be less likely to seek treatment due to stigma, accessibility, and sport-specific barriers. Future work should directly connect survey respondents to tailored treatment tools and increase motivation to seek treatment.

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.

Resting Heart Rate and Heart Rate Variability in the Year Following Acute Coronary Syndrome: How Do Women Fare?

BACKGROUND: Women experience poorer health outcomes following acute coronary syndrome (ACS). Heart rate (HR) and heart rate variability (HRV) have emerged as sensitive and cost-effective markers of autonomic function and prognostic risk factors of poor cardiac outcomes. The aim of the current study was to investigate whether sex-specific differences existed across HR and five parameters of HRV, at 1 and 12 months following ACS diagnosis. METHODS: Between January 2013 and June 2014, a sample of 416 ACS patients was enrolled in the Anxiety Depression & Heart Rate Variability in cardiac patients: Evaluating the impact of Negative emotions on functioning after Twenty four months (ADVENT) longitudinal cohort study. At 1 and 12 months following discharge, patient HR and HRV (root mean square of successive differences [RMSDD], standard deviation of RR intervals [SDRR], high frequency power [HF], low frequency power [LF], very low frequency power [VLF]) was measured via three-lead electrocardiogram. RESULTS: At 1 month post-ACS, sex was a significant predictor of HR and VLF power in fully- adjusted models. At 12 months post-ACS, sex was a predictor of HR, SDRR and VLF power in fully-adjusted models. CONCLUSION: Sex-specific differences in resting HR and HRV were observed in the year following ACS, whereby women had higher HR and lower HRV, suggestive of poorer autonomic function. Further large-scale cohort studies examining autonomic function as a driver of sex-specific outcomes following ACS are required.

A randomized controlled trial of a smartphone-based application for the treatment of anxiety.

AbstractIntroduction: Generalized anxiety disorder (GAD) is prevalent among college students. Smartphone-based interventions may be a low-cost treatment method. Method: College students with self-reported GAD were randomized to receive smartphone-based guided self-help (n = 50), or no treatment (n = 50). Post-treatment and six-month follow-up outcomes included the Depression Anxiety Stress Scales-Short Form Stress Subscale (DASS Stress), the Penn State Worry Questionnaire (PSWQ-11), and the State-Trait Anxiety Inventory-Trait (STAI-T), as well as diagnostic status assessed by the GAD-Questionnaire, 4th edition. Results: From pre- to post-treatment, participants who received guided self-help (vs. no treatment) experienced significantly greater reductions on the DASS Stress (d = -0.408) and a greater probability of remission from GAD (d = -0.445). There was no significant between-group difference in change on the PSWQ-11 (d = -0.208) or STAI-T (d = -0.114). From post to six-month follow-up there was no significant loss of gains on DASS Stress scores (d = -0.141) and of those who had remitted, 78.6% remained remitted. Yet rates of remitted participants no longer differed significantly between conditions at follow-up (d = -0.229). Conclusion: Smartphone-based interventions may be efficacious in treating some aspects of GAD. Methods for improving symptom reduction and long-term outcome are discussed.

Digital technology can revolutionize mental health services delivery: The COVID-19 crisis as a catalyst for change.

The unprecedented COVID-19 crisis presents an imperative for mental health care systems to make digital mental health interventions a routine part of care. Already because of COVID-19, many therapists have rapidly moved to using telehealth in place of in-person contact. In response to this shift, Waller and colleagues compiled a series of expert recommendations to help clinicians pivot to delivering teletherapy to address eating disorders during COVID-19. However, numerous barriers still impede widespread adoption and implementation of digital interventions. In this commentary, we aim to extend the recommendations for clinicians offered by Waller and colleagues by presenting a roadmap of the systems- and policy-level requirements that are needed. We advocate for addressing barriers associated with training, licensing, safety, privacy, payment, and evaluation, as these factors have greatly limited use of these promising interventions. We also indicate that longer-term goals should include introducing truly innovative digital mental health practices, such as stepped-care models and simultaneously providing preventive and self-management services in addition to clinical services, into the health care system. Now is the time to catalyze change and comprehensively address the barriers that have prevented widespread delivery of these efficacious digital services to the millions of people who would benefit.

Predicting eating disorders from Internet activity.

OBJECTIVE: Eating disorders (EDs) compromise the health and functioning of affected individuals, but it can often take them several years to acknowledge their illness and seek treatment. Early identification of individuals with EDs is a public health priority, and innovative approaches are needed for such identification and ultimate linkage with evidence-based interventions. This study examined whether Internet activity data can predict ED risk/diagnostic status, potentially informing timely interventions. METHOD: Participants were 936 women who completed a clinically validated online survey for EDs, and 231 of them (24.7%) contributed their Internet browsing history. A machine learning algorithm used key attributes from participants' Internet activity histories to predict their ED status: clinical/subclinical ED, high risk for an ED, or no ED. RESULTS: The algorithm reached an accuracy of 52.6% in predicting ED risk/diagnostic status, compared to random decision accuracy of 38.1%, a relative improvement of 38%. The most predictive Internet search history variables were the following: use of keywords related to ED symptoms and websites promoting ED content, participant age, median browsing events per day, and fraction of daily activity at noon. DISCUSSION: ED risk or clinical status can be predicted via machine learning with moderate accuracy using Internet activity variables. This model, if replicated in larger samples where it demonstrates stronger predictive value, could identify populations where further assessment is merited. Future iterations could also inform tailored digital interventions, timed to be provided when target online behaviors occur, thereby potentially improving the well-being of many individuals who may otherwise remain undetected.

Preliminary data on help-seeking intentions and behaviors of individuals completing a widely available online screen for eating disorders in the United States.

OBJECTIVE: Scaling an online screen that provides referrals may be key in closing the treatment gap for eating disorders (EDs), but we need to understand respondents' help-seeking intentions and behaviors after receiving screen results. This study reported on these constructs among respondents to the National Eating Disorders Association online screen who screened positive or at high risk for an ED. METHOD: Respondents completed the screen over 18 months (February 9, 2018-August 28, 2019). Those screening positive or at high risk for an ED (n = 343,072) had the option to provide data on help-seeking intentions (after screen completion) and behaviors (2-month follow-up). RESULTS: Of eligible respondents, 4.8% (n = 16,396) provided data on help-seeking intentions, with only 33.7% of those reporting they would seek help. Only 7.6% of eligible respondents opted in to the 2-month follow-up, with 10.6% of those completing it (n = 2,765). Overall, 8.9% of respondents to the follow-up reported being in treatment when they took the screen, 15.5% subsequently initiated treatment, and 75.5% did not initiate/were not already in treatment. DISCUSSION: Preliminary results suggest that among the small minority who provided data, only one-third expressed help-seeking intentions and 16% initiated treatment. Online screening should consider ways to increase respondents' motivation for and follow-through with care.