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Many young individuals at risk for eating disorders spend time on social media and frequently search for information related to their body image concerns. In a large randomized study, we demonstrated that a guided chat-based intervention could reduce weight and shape concerns and eating disorder pathology. The goal of the current study was to determine if a modified single session mini-course, derived from the aforementioned chat-based intervention, could reduce body image concerns among individuals using eating disorder related search terms on a social media platform. Over a two-month period of prompting individuals, 525 people followed the link to the web-based application where the intervention was hosted and subsequently completed the mini-course. This resulted in a significant improvement on the one-time body image satisfaction question pre-to post intervention (p .001) with a moderate effect size (Cohen's d = 0.54). Additionally, individuals completing the program showed significant improvement on motivation to change their body image (p .001) with a small effect size (Cohen's d = 0.28). Additionally, users reported that the program was enjoyable and easy to use. These results suggest that a single session micro-intervention, offered to individuals on social media, can help improve body image.

We compare the effects of early childhood education on adult criminal behavior across time periods, using administrative crime data that provide significant precision advantages over existing work. We find that improvements in early childhood education led to large (20 percent) reductions in later criminal behavior, reductions that far exceed those implied by estimates of test score gains in prior studies. While the benefits generated account for a large portion of the costs of the education provided, we find substantial relative gains from the targeting of funds to high-poverty areas and areas without existing access to subsidized care. (JEL H75, I21, I26, I28, I32, I38, K42)

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.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.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.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.

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.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.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.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.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.

Thin ideal internalization is a risk factor for disordered eating behaviors, poor body image, and eating disorders (EDs). This paper evaluated the psychometric properties of a novel measure, the Perceived Benefits of Thinness Scale (PBTS), which assesses how individuals feel being thinner would affect various aspects of their lives. Three separate studies with unique samples of college-aged women over 18 years were conducted to assess reliability and validity. In Study 1, exploratory and confirmatory factor analyses suggested all PBTS items loaded onto one factor that was distinct from a measure of weight and shape concerns. A large correlation between changes in PTBS scores and changes in ED psychopathology scores over 8 months (r = .57, p .01) suggested sensitivity to change. Greater severity in ED pathology was also associated with higher scores on the PBTS. In Study 2, the PBTS showed good test-retest reliability (r = .84, p .001) and, in Study 3, expected correlations with existing measures of thin ideal internalization (rs = .38-.60, ps .001). Overall, the PBTS displayed good factor structure, reliability, concurrent validity, and sensitivity to change. By emphasizing social, emotional, and quality of life benefits, the PBTS may serve clinicians, researchers, and patients in understanding thin ideal internalization and associated ED risk.

IntroductionAnorexia nervosa (AN) is a harmful, life-threatening illness. Patients with severe AN often receive acute treatment but, upon discharge, experience high relapse rates. Evidence-based, outpatient treatment following acute care is critical to preventing relapse; however, numerous barriers (e.g., location, financial limitations, low availability of providers) preclude individuals from accessing treatment. mHealth technologies may help to address these barriers, but research on such digital approaches for those with AN is limited. Further, such technologies should be developed with all relevant stakeholder input considered from the outset. As such, the present study aimed to garner feedback from eating disorder (ED) treatment center providers on (1) the process of discharging patients to outpatient services, (2) their experiences with technology as a treatment tool, and (3) how future mHealth technologies may be harnessed to offer the most benefit to patients in the post-acute period.MethodsParticipants (N = 11, from 7 ED treatment centers across the United States) were interviewed. To analyze the data for this study, each interview was manually transcribed and analyzed using components of Braun and Clarke's six-phase thematic analysis framework (Braun & Clarke, 2006).ResultsParticipants indicated proactively securing outpatient care for their patients, but mentioned several barriers their patients face in accessing evidence-based ED treatment. All participants had some experience using various technologies for treatment (e.g., teletherapy, self-monitoring apps), and mentioned a high level of interest in the development of a new app to be used by patients recently discharged from acute treatment for AN. Participants also offered suggestions of effective and relevant content for a potential app and adjunctive social networking component for post-acute care of AN.DiscussionOverall, participants expressed positive attitudes toward the integration of an app into the care flow, suggesting the high potential benefit of harnessing technology to support individuals recovering from AN.

Objectives: In a national sample of college students, this study aimed to evaluate whether barriers to mental health treatment varied by race and ethnicity. Methods: Data were drawn from a large multicampus study conducted across 26 US colleges and universities. The sample (n = 5841) included students who screened positive for at least one mental health disorder and who were not currently receiving psychotherapy. Results: Black and Hispanic/Latine individuals showed a greater willingness to seek treatment than White individuals. However, Black and Hispanic/Latine individuals faced more financial barriers to treatment, whereas Hispanic/Latine individuals also showed a lower perceived importance of mental health. Asian American individuals preferred to handle their issues on their own or with support from family/friends and had lower readiness, willingness, and intentions to seek help than White individuals, with greater financial barriers as well.Conclusions: Disparities in unmet treatment need may arise from both distinct and common barriers, and point to the potential benefits of tailored intervention approaches to address the unique needs of students of color from varying racial/ethnic backgrounds. Policy implications: Addressing barriers to treatment may require policies that cater to the unique needs of different racial/ethnic groups.Keywords: barriers to treatment, mental health, unmet need, students of color, health disparities

The majority of women do not meet the recommended levels of exercise during their pregnancies, frequently due to a lack of time. High-intensity interval training offers a potential solution, providing an effective, time-efficient exercise modality. This exercise modality has not been studied in pregnancy therefore, the objective of this study was to evaluate fetal response to a high-intensity interval training resistance circuit in the late second and early third trimesters of pregnancy. Fourteen active, healthy women with uncomplicated, singleton pregnancies participated in a high-intensity interval training resistance circuit between 28 + 0/7 and 32 + 0/7 weeks. A Borg rating of perceived exertion of 15–17/20 and an estimated heart rate of 80%–90% of maternal heart-rate maximum was targeted. Fetal well-being was evaluated continuously with fetal heart-rate tracings and umbilical artery Doppler velocimetry conducted pre-and post-exercise. Fetal heart rate tracings were normal throughout the exercise circuit. Post-exercise, umbilical artery end-diastolic flow was normal and significant decreases were observed in the mean systolic/diastolic ratios, pulsatility indexes and resistance indexes. Therefore, in a small cohort of active pregnant women, a high-intensity interval training resistance circuit in the late second and early third trimesters of pregnancy appears to be a safe exercise modality with no acute, adverse fetal effects but further study is required. Novelty: High-intensity interval training, at an intensity in excess of current recommendations, does not appear to be associated with any adverse fetal effects in previously active pregnant women. High-intensity interval training is an enjoyable and effective exercise modality in previously active pregnant women.

BACKGROUND Therapeutic homework is a core element of cognitive and behavioral interventions, and greater homework compliance predicts improved treatment outcomes. To date, research in this area has relied mostly on therapists’ and clients’ self-reports or studies carried out in academic settings, and there is little knowledge on how homework is used as a treatment intervention in routine clinical care. OBJECTIVE This study tested whether a machine learning (ML) model using natural language processing could identify homework assignments in behavioral health sessions. By leveraging this technology, we sought to develop a more objective and accurate method for detecting the presence of homework in therapy sessions. METHODS We analyzed 34,497 audio-recorded treatment sessions provided in 8 behavioral health care programs via an artificial intelligence (AI) platform designed for therapy provided by Eleos Health. Therapist and client utterances were captured and analyzed via the AI platform. Experts reviewed the homework assigned in 100 sessions to create classifications. Next, we sampled 4000 sessions and labeled therapist-client microdialogues that suggested homework to train an unsupervised sentence embedding model. This model was trained on 2.83 million therapist-client microdialogues. RESULTS An analysis of 100 random sessions found that homework was assigned in 61% (n=61) of sessions, and in 34% (n=21) of these cases, more than one homework assignment was provided. Homework addressed practicing skills (n=34, 37%), taking action (n=26, 28.5%), journaling (n=17, 19%), and learning new skills (n=14, 15%). Our classifier reached a 72% F1-score, outperforming state-of-the-art ML models. The therapists reviewing the microdialogues agreed in 90% (n=90) of cases on whether or not homework was assigned. CONCLUSIONS The findings of this study demonstrate the potential of ML and natural language processing to improve the detection of therapeutic homework assignments in behavioral health sessions. Our findings highlight the importance of accurately capturing homework in real-world settings and the potential for AI to support therapists in providing evidence-based care and increasing fidelity with science-backed interventions. By identifying areas where AI can facilitate homework assignments and tracking, such as reminding therapists to prescribe homework and reducing the charting associated with homework, we can ultimately improve the overall quality of behavioral health care. Additionally, our approach can be extended to investigate the impact of homework assignments on therapeutic outcomes, providing insights into the effectiveness of specific types of homework.

Purpose: This study aimed to investigate the long-term effect of observed epiretinal membranes on the outer retinal layers and visual acuity. Methods: It is a retrospective observational study. Subjects with an epiretinal membrane and consecutive optical coherence tomography scans were followed for changes in visual acuity, central macular thickness, ellipsoid zone loss, and outer foveal thickness (OFT). Results: The study consisted of 24 eyes of 22 patients, with a mean follow-up of 5 ± 1.6 years. The mean visual acuity was slightly worse at the last follow-up (0.22 ± 0.36 LogMAR [20/33] vs. 0.27 ± 0.36 LogMAR [20/36], p = 0.05). Ellipsoid zone loss was found in 37.5% of eyes. Vision loss was associated with initial size of ellipsoid disruption (p = 0.048) and age (p = 0.027). A decrease in OFT was associated with an initially larger zone of ellipsoid disruption (p = 0.006) and an initially thicker OFT (p = 0.011). An epiretinal membrane associated with vitreomacular adhesion within 1,000 μm of the foveal center at baseline was associated with ellipsoid zone loss (p = 0.012) but not with a change in visual acuity. Conclusions: Ellipsoid zone changes were common in this study and tended to enlarge over time. Epiretinal membranes associated with vitreomacular adhesion within 1,000 μm of the foveal center may be a risk factor for ellipsoid zone loss.

BACKGROUND Most individuals with eating disorders (EDs) do not receive treatment. Leveraging digital tools such as chatbots may be a promising method to mobilize mental health care utilization following ED screening. OBJECTIVE This study examined rates and predictors of uptake of a chatbot aimed to promote mental health services use among adults who screened positive for clinical/subclinical EDs on an online ED screen. METHODS Following screening, eligible individuals (≥18 years, screened positive for a clinical/subclinical ED, not in treatment) were shown the study opportunity. Participants who enrolled were instructed to initiate an SMS conversation with the chatbot. Chi-square tests and logistic regressions explored differences in demographics, ED symptoms, suicidality, and probable ED diagnoses between those who enrolled and engaged with the chatbot versus those who did not. RESULTS Of 6,747 respondents shown the study opportunity, 205 (3.0%) enrolled, of whom 185 (90.2%) subsequently used the chatbot. Chatbot uptake was more common among individuals aged ≥25 versus young adults and less common among individuals engaging in regular dietary restriction. No other differences across demographics or ED presentations were observed. CONCLUSIONS Overall chatbot uptake was low, reflecting a need for additional strategies to promote help-seeking behaviors. However, chatbot uptake was high among those that enrolled and equal across most demographics or ED symptoms. Differences by age and dietary restriction in chatbot uptake indicate a need to better engage those who are younger or report restriction.

We examine maternal microvascular function after preeclampsia, identifying heightened endothelium-dependent and endothelium-independent microvascular reactivity following severe disease. Our study represents a noteworthy addition to the existing literature with the use of a novel imaging modality, vascular perturbation, postpartum time point, and patient population with differentiation of preeclampsia into severe and nonsevere subtypes. These results represent a novel addition to the growing clinical and academic understanding of maternal health outcomes following preeclampsia.

The current study used self-determination theory to examine the efficacy of an established and rigorous STEM enrichment program, the Summer Science Program, in promoting high school students’ motivation for, and identification with, scientific research. Results of latent change analyses indicated that students’ scientific research identity, intrinsic research motivation, and psychological needs for autonomy, competence, and relatedness increased significantly across two timepoints. Results of hierarchical regression analyses also indicated that satisfaction of autonomy and competence needs at a prior time point was positively associated with later intrinsic research motivation These analyses also suggested that intrinsic research motivation was both a distal and proximal predictor of scientific research identity. Overall, our findings suggest that engaging in authentic research as a high school student has the ability to promote motivation and retention in STEM and plays an important role in facilitating the socialization and assimilation of students into the broader scientific community.

Purpose We compared and analyzed the concentrations of vitamin C, vitamin E, zinc, and copper in both national and regional brands of dietary supplements recommended for patients who are at risk for macular degeneration. Design Prospective cross-sectional study. Methods National brand name and generic multivitamin formulations for age-related macular degeneration were obtained. Comparative analysis of the vitamin C and vitamin E content was performed by gas chromatography-mass spectrometry and the zinc and copper content was analyzed by atomic absorption spectroscopy in an institutional chemistry laboratory. Results All national brand name vitamins, both tablet and gel capsule formulations, and generic brands in tablet form were relatively accurate in their product labeling. For most of the samples tested, the measured quantities of vitamin C, vitamin E, zinc, and copper were slightly higher than labeled but not to an amount that would cause any systemic toxicity if taken at the recommended dosages. Conclusions Physicians may recommend national brand name vitamins and generic brands in tablet form to their patients with some confidence; however, the content may have some inaccuracies regarding labeling.

Preeclampsia is a hypertensive pregnancy complication with an unknown etiology and high maternal burden worldwide. Burgeoning research has linked preeclampsia to adverse maternal health outcomes remote from pregnancy; however, the intermediary mechanisms responsible for this association have not been sufficiently established. In the present narrative review, we summarize leading evidence of structural and functional cardiovascular changes associated with prior preeclampsia, and how these changes may be linked to future maternal disease. KEY POINTS: · Prior preeclampsia is associated with subclinical structural and functional vascular changes remote from pregnancy.. · Maternal cardiac adaptations to preeclampsia may have long-term implications on cardiovascular health.. · Clinicians have an opportunity to minimize maternal disease risk following preeclampsia..

OBJECTIVE: There is a lack of research on the prevalence of eating disorders in Singapore. The aims of our study were to (1) estimate the prevalence of eating disorders, risk status, and help-seeking behaviors among adults in Singapore, (2) examine gender differences between eating disorder status groups, and (3) characterize clinical profiles of eating disorder status groups. METHOD: We administered a cross-sectional survey that included a validated eating disorders screening tool to adults in Singapore. RESULTS: A total of 797 Singaporean adults ages 21–77 years completed the eating disorder screen. The majority of participants screened positive for a current DSM-5 clinical eating disorder (6.2%), other specified feeding or eating disorder (37.0%) or at high risk of developing an eating disorder (19.5%). Only 1.6% of those who screened positive for an eating disorder reported currently being in treatment. The ratio of males to females who screened positive for an eating disorder was nearly 1:1. The clinical profiles of eating disorder groups were consistent with the clinical presentations found in Western nations. DISCUSSION: This is the first study in Singapore to estimate the prevalence of eating disorders in a large sample of adults. Results highlight the urgent need for more eating disorder research and expansion of prevention and treatment programs to address the high prevalence of eating disorder psychopathology in Singapore.

Despite its fundamental importance, the educational mission of most schools of veterinary medicine receives far less recognition and support than the missions of research and discovery. This disparity is evident in promotion and tenure processes. Despite the frequent assertion that education is every college’s core mission, there is a broad consensus that faculty are promoted primarily on the basis of meeting expectations relative to publications and grant funding. This expectation is evident in the promotion packets faculty are expected to produce and the criteria by which those packets are reviewed. Among the outcomes is increasing difficulty in hiring and retaining faculty, including young clinicians and basic scientists who are drawn to academic institutions because of the opportunity to teach. The Regional Teaching Academy (RTA) of the West Region Consortium of Colleges of Veterinary Medicine initiated an inter-institutional collaboration to address the most important obstacles to recognizing and rewarding teaching in its five member colleges. Working from the medical education literature, the RTA developed an Educator’s Promotion Dossier, workshops to train promotion applicants, and an external review process. Initial use has shown that the reviews are efficient and complete. Administrators have expressed strong support for the product, a letter of external review that is returned to a promotion applicant’s home institution. The overall result is an evidence-based, structured process by which teaching-intensive faculty can more fully document their achievements in teaching and educational leadership and a more rigorous external review process by which member colleges can assess quality, impact, and scholarly approach.

To determine the influence of different lighting conditions on perceived visual function in patients of different age, gender, race, and in various ophthalmic diseases. A prospective study. A survey given to patients seen in general ophthalmic and retina clinics. Patients were asked four questions: Is your vision better, worse, or the same in (1) bright light vs dim light, (2) indoors or outdoors, (3) beginning or end of the day, and (4) sunny or cloudy day? Parameters tested were age, race, gender, visual acuity, and a variety of ophthalmic conditions. Multivariable models for each question were fit using multinomial regression. Association was considered significant if p < 0.05. A total of 722 patients were enrolled in the study. Patients with lower vision (LogMAR ≥ 0.3) were more likely to indicate they either had better vision indoors or outdoors compared with better vision patients (LogMAR < 0.1). Patients with pseudophakia were also more likely to indicate they had better vision on a cloudy day (OR = 1.9). White patients had double the odds of selecting bright light compared with others. Males were less likely than females to indicate better vision indoors (OR = 0.62). There were no significant associations with age-related macular degeneration (AMD) in the multivariable model. Most patients did not note any difference in lighting conditions, and although there is explanatory rational for some of the findings in this study, those questions concerning lighting conditions or time of day are not useful for screening of disease. Gender and ethnicity were found to have associations with lighting preferences which needs to be further studied.

OBJECTIVE: To examine eating disorder (ED) symptomatology, related clinical impairment, and comorbid psychopathology in college women with EDs across five racial and two ethnic groups. METHODS: Participants were 690 women from 28 U.S. universities who screened positive for an ED. Thirteen variables assessing ED symptoms, related clinical impairment, and comorbid psychopathology were compared across racial and ethnic groups using analyses of variance (ANOVAs) and independent samples t-tests. RESULTS: Across racial groups, significant differences emerged in binge eating and laxative use. Asian women reported significantly more binge eating than White women (p < .01). Individuals self-identified as the “Other” racial group reported greater laxative use than Asian and White women (ps ≤ .01). No other significant differences emerged across all other variables (ps ≥ .13). Across ethnic groups, Hispanic women reported significantly more laxative use (p < .01), and more comorbid insomnia symptoms (p = .03) than non-Hispanic women. No other significant differences were observed (ps ≥ .24). DISCUSSION: Findings suggest that binge eating, laxative use, and insomnia symptoms differ across racial and ethnic groups in U.S. college women who screened positive for EDs. Findings can inform tailoring of ED screening to reduce current disparities in these underrepresented populations.

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.

Author(s): Bartlett, Kathryn; Kane, Kathleen E.; Kane, Bryan G.; Weaver, Kevin R.; Barr, Gavin C. | Abstract: Introduction: Determination of medical stability for patients presenting with psychiatric complaints is common for emergency clinicians. A thorough history and physical examination is important.Case Report: A 53-year-old male presented to the emergency department (ED) with depression, suicidal ideation, and decline in activities of daily living over six months. While his initial neurologic examination was non-focal, subsequent re-evaluations demonstrated significant changes, and he was ultimately diagnosed with Creutzfeldt-Jakob disease. Conclusion: This case demonstrates how a detailed history of the present illness could have led to a more accurate and timely medical disposition from the ED.

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.

INTRODUCTION: 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.

Preeclampsia (PE) is a hypertensive obstetrical complication associated with increased cardiovascular disease risk. Carotid artery functional assessments allow for identification of subclinical vascular dysfunction. This cross-sectional study measured carotid artery functional indices in healthy women with a recent pregnancy complicated by PE, versus women with a prior uncomplicated pregnancy. Women with a history of PE (N = 30) or an uncomplicated pregnancy (N = 30), were recruited between 6 months and 5 years postpartum. Left and right carotid artery ultrasound measured carotid intima media thickness, plaque burden, peak systolic velocity, end diastolic flow velocity and carotid far-wall circumferential strain (FWCS). Carotid FWCS is inversely related to vessel stiffness, where a decrease in FWCS indicates increased vessel stiffness. Right-side FWCS did not differ between women with a history of PE versus normotensive pregnancy. Left carotid artery FWCS was lower in formerly preeclamptic women after adjustment for diameter, pulse pressure, and heart rate compared to women following an uncomplicated pregnancy (3.35 ± 1.08 × 10

Background Therapeutic homework is a core element of cognitive and behavioral interventions, and greater homework compliance predicts improved treatment outcomes. To date, research in this area has relied mostly on therapists’ and clients’ self-reports or studies carried out in academic settings, and there is little knowledge on how homework is used as a treatment intervention in routine clinical care. Objective This study tested whether a machine learning (ML) model using natural language processing could identify homework assignments in behavioral health sessions. By leveraging this technology, we sought to develop a more objective and accurate method for detecting the presence of homework in therapy sessions. Methods We analyzed 34,497 audio-recorded treatment sessions provided in 8 behavioral health care programs via an artificial intelligence (AI) platform designed for therapy provided by Eleos Health. Therapist and client utterances were captured and analyzed via the AI platform. Experts reviewed the homework assigned in 100 sessions to create classifications. Next, we sampled 4000 sessions and labeled therapist-client microdialogues that suggested homework to train an unsupervised sentence embedding model. This model was trained on 2.83 million therapist-client microdialogues. Results An analysis of 100 random sessions found that homework was assigned in 61% (n=61) of sessions, and in 34% (n=21) of these cases, more than one homework assignment was provided. Homework addressed practicing skills (n=34, 37%), taking action (n=26, 28.5%), journaling (n=17, 19%), and learning new skills (n=14, 15%). Our classifier reached a 72% F1-score, outperforming state-of-the-art ML models. The therapists reviewing the microdialogues agreed in 90% (n=90) of cases on whether or not homework was assigned. Conclusions The findings of this study demonstrate the potential of ML and natural language processing to improve the detection of therapeutic homework assignments in behavioral health sessions. Our findings highlight the importance of accurately capturing homework in real-world settings and the potential for AI to support therapists in providing evidence-based care and increasing fidelity with science-backed interventions. By identifying areas where AI can facilitate homework assignments and tracking, such as reminding therapists to prescribe homework and reducing the charting associated with homework, we can ultimately improve the overall quality of behavioral health care. Additionally, our approach can be extended to investigate the impact of homework assignments on therapeutic outcomes, providing insights into the effectiveness of specific types of homework.

Adverse childhood experiences (ACEs) have been linked to the development and impact of chronic pain in adulthood. The goal of this study was to investigate the prevalence of ACEs in a treatment-seeking sample of adults with chronic pain and the relationship between number and type(s) of ACEs and pain-related outcomes.Adults (N=1794) presenting for treatment at a multidisciplinary pain management center completed self-report measures of childhood adversity, pain, functioning, emotional distress, and adjustment to pain.Participants endorsing ≥4 ACEs had significantly worse pain-related outcomes and lower quality of life compared with individuals reporting fewer ACEs. Having ≥3 ACEs was associated with higher anxiety and depression levels. Experiences of childhood neglect negatively affected mental health-related outcomes independent of the number of ACEs. Significant sex differences were found in the number and type of ACEs reported but not in the relationship between ACEs and outcome variables.Findings suggest that the number and the type of self-reported ACE(s) are associated with pain-related variables and psychosocial functioning in adults with chronic pain. The results highlight the importance of assessment of ACEs and trauma-informed care with patients with chronic pain.

Fair and meaningful device per- formance comparison among luminescent solar concentrator- photovoltaic (LSC-PV) reports cannot be realized without a gen- eral consensus on reporting stan- dards in LSC-PV research. There- fore, it is imperative to adopt standardized characterization protocols for these emerging types of PV devices that are consistent with other PV devices. This commentary highlights several common limitations in LSC literature and summarizes the best practices moving for- ward to harmonize with standard PV reporting, considering the greater nuances present with LSC-PV. Based on these prac- tices, a checklist of actionable items is provided to help stan- dardize the characterization/re- porting protocols and offer a set of baseline expectations for au- thors, reviewers, and editors. The general consensus combined with the checklist will ultimately guide LSC-PV research towards reliable and meaningful ad- vances.

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 Results Data were available for 81.5% (137/168) of the women after the intervention and for 69% (116/168) of the women at 12-month FU. At 12-month FU, the IG participants showed larger decreases in Eating Disorder Examination total scores (38/48, 79% vs 33/58, 57%) than the CG participants and the IG participants who were underweight also showed larger clinically relevant increases in BMI (15/31, 49% vs 10/32, 32%) than the CG participants, but these differences were not significant. In addition, after the intervention and at 12-month FU, we found a significant increase in continuously measured BMI for the participants who were underweight and significant improvements in disordered eating attitudes and behaviors (eg, restrained eating as well as weight and shape concerns). At all time points, the rates of new-onset eating disorder cases were (nonsignificantly) lower in the IG than in the CG and the reductions in Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition–based eating disorder syndromes were (nonsignificantly) higher in the IG than in the CG. Conclusions SB-AN is the first preventive intervention shown to significantly reduce specific risk factors for, and symptoms of, AN and shows promise for reducing full-syndrome AN onset. Trial Registration ISRCTN Registry ISRCTN70380261; https://www.isrctn.com/ISRCTN70380261

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.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.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]).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.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.OSF Registries; https://osf.io/7zmbv.

Central Line Tutor is a system that facilitates real-time feedback during training for central venous catheterization. One limitation of Central Line Tutor is its reliance on expensive, cumbersome electromagnetic tracking to facilitate various training aids, including ultrasound task identification and segmentation of neck vasculature. The purpose of this study is to validate deep learning methods for vessel segmentation and ultrasound pose classification in order to mitigate the system's reliance on electromagnetic tracking. A large dataset of segmented and classified ultrasound images was generated from participant data captured using Central Line Tutor. A U-Net architecture was used to perform vessel segmentation, while a shallow Convolutional Neural Network (CNN) architecture was designed to classify the pose of the ultrasound probe. A second classifier architecture was also tested that used the U-Net output as the CNN input. The mean testing set Intersect over Union score for U-Net cross-validation was 0.746 ± 0.052. The mean test set classification accuracy for the CNN was 92.0% ± 3.0, while the U-Net + CNN achieved 92.7% ± 2.1%. This study highlights the potential for deep learning on ultrasound images to replace the current electromagnetic tracking-based methods for vessel segmentation and ultrasound pose classification, and represents an important step towards removing the electromagnetic tracker altogether. Removing the need for an external tracking system would significantly reduce the cost of Central Line Tutor and make it far more accessible to the medical trainees that would benefit from it most.

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.

OBJECTIVE: This study examined the associations between insomnia, anxiety, and depression in college women with eating disorders (EDs). PARTICIPANTS: Six hundred and ninety female students from 28 U.S. colleges who screened positive for an ED were assessed for psychiatric comorbidities. Women were, on average, 22.12 years old, mostly White (60.1%), and undergraduates (74.3%). METHODS: Two mediation models were tested to determine if depression and/or anxiety mediated the relationship between insomnia and ED symptomatology. RESULTS: One-fifth of the sample (21.7%) reported clinically moderate and severe levels of insomnia. Both depression (B=.13, p

Purpose: This study compares visual acuity (VA), anatomic outcomes, and complications in eyes that underwent complex retinal detachment (RD) repair in which silicone oil (SO) was retained vs removed. Methods: A retrospective chart review of patients undergoing vitrectomy with SO tamponade. The eyes were divided into 2 groups based upon SO removal or retention. Main outcome measures were corrected VA, anatomic outcomes, and the presence of SO-related complications. Results: Fifty-seven eyes with removed SO and 53 eyes with retained SO were identified. In both groups, the mean best-corrected VA (BCVA) at the final visit was significantly better than at baseline. In the retained-SO group, vision improved from 1.79 ± 0.6 to 1.2 ± 0.7 logarithm of the minimum angle of resolution (logMAR) (Snellen, 20/1200 to 20/350) at the final visit ( P < .001). In the removed-SO group, mean BCVA improved from 1.84 ± 0.5 at baseline to 1.55 ± 0.6 logMAR units (Snellen, 20/1400 to 20/700) at the visit preceding SO removal ( P < .002) and to 1.43 ± 0.6 logMAR units (Snellen, 20/500) at the final visit ( P < .001). Complication rates were similar in both groups, apart from RD, which occurred more frequently in the removed-SO group ( P = .03). Conclusions: There was similarity in VA and complications among patients with removed or retained SO. Removal of SO may benefit eyes with SO-related complications, but SO retention may decrease the chance of RD and may be indicated in selected cases.

The satellite of (225088) 2007 OR10 was discovered on archival Hubble Space Telescope images and along with new observations with the WFC3 camera in late 2017 we have been able to determine the orbit. The orbit's notable eccentricity, e$\approx$0.3, may be a consequence of an intrinsically eccentric orbit and slow tidal evolution, but may also be caused by the Kozai mechanism. Dynamical considerations also suggest that the moon is small, D$_{eff}$ $, Comment: Accepted for publication in Icarus