Int J Eat Disord
January 2025
Objective: Despite the availability of several evidence-based treatments for eating disorders (EDs), including Family-Based Treatment (FBT), therapist drift from evidence-based treatments in real-life clinical settings is common. This study explores clinicians' use of FBT techniques and identifies clinician-reported barriers to their use in real-world settings.
Methods: Clinicians (N = 54) who self-identified as using FBT for EDs were recruited through social media, professional listservs, and mental health provider databases.
Background: Most individuals with eating disorders (EDs) do not receive treatment, and those who do receive care typically do not receive evidence-based treatment, partly due to lack of accessible provider training. This study developed a novel "all-in-one" online platform for disseminating training for mental health providers in cognitive-behavioral therapy guided self-help (CBTgsh) for EDs and supporting its implementation. The aim of the study was to obtain usability data from the online platform prior to evaluating its effects on provider training outcomes and patient ED symptom outcomes in an open pilot trial.
View Article and Find Full Text PDFOn June 24, 2022, the US Supreme Court overturned the constitutional right to abortion in . Minors are a vulnerable population with a high risk of unintended pregnancy who are likely to be disproportionately affected by abortion restrictions. Examining the impact of historical abortion restrictions in minors may provide insight into the anticipated effects of the decision.
View Article and Find Full Text PDFThe Body Advocacy Movement (BAM) is a novel, cognitive-dissonance-based intervention designed to target fatphobia and anti-fat bias as mechanisms to drive reductions in eating disorder (ED) risk. Previous dissonance-based programs (i.e.
View Article and Find Full Text PDFObjective: Anorexia nervosa (AN) is often treated in the acute setting, but relapse after treatment is common. Cognitive-behavioral therapy (CBT) is useful in the post-acute period, but access to trained providers is limited. Social support is also critical during this period.
View Article and Find Full Text PDFBackground Publicly-insured and uninsured individuals-many of whom are marginalized because of race/ethnicity, disability and/or sexual preferences-experience barriers to accessing evidence-based interventions for eating disorders (EDs). Additionally, EBIs have not been developed with or for diverse populations, exacerbating poor treatment uptake. Mobile technology is perfectly positioned to bridge this gap and increase access to low-cost, culturally-sensitive EBIs.
View Article and Find Full Text PDFIntroduction: 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.
View Article and Find Full Text PDFResearch on body image and eating within the mother-daughter dyad tends to emphasize the influence that mothers may have on daughters, with little focus on the concomitant influence that daughters may have on mothers. Utilizing the Actor-Partner Interdependence Model (APIM) within a sample of mothers and their daughters within three age ranges (middle school, high school, and college, N = 356 dyads), we examined relations between mother and daughter body dissatisfaction and restrictive eating and bulimic symptoms. Results indicated that mother and daughter body dissatisfaction significantly predicted their own eating pathology (actor effects).
View Article and Find Full Text PDFBackground: Optimal diagnostic and surgical approaches for patients with bile duct injuries (BDI) remain debated. This study reviews results from a standardized approach to management of high-grade BDIs at a North American center.
Design: Patients undergoing surgical repair for BDIs over a 15-year period were included.
Background: The use of billing codes (ICD-10) to identify and track cases of gestational and pregestational diabetes during pregnancy is common in clinical quality improvement, research, and surveillance. However, specific diagnoses may be misclassified using ICD-10 codes, potentially biasing estimates. The goal of this study is to provide estimates of validation parameters (sensitivity, specificity, positive predictive value, and negative predictive value) for pregestational and gestational diabetes diagnosis using ICD-10 diagnosis codes compared with medical record abstraction at a large public hospital in Atlanta, Georgia.
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