Publications by authors named "Laboe A"

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.

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  • Weight stigma in healthcare can harm patients, and a new program called BAM-Health aims to reduce this stigma among future health professionals.
  • The study involved 67 students who either participated in BAM-Health or received an informational brochure, with their attitudes monitored before, after, and weeks later.
  • Results showed that BAM-Health helped reduce concerns about body image and stigma more effectively than the brochure, improving participants' views on weight issues.
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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.

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On 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.

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The 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.

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Objective: 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.

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Background 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.

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  • This study investigates the link between food insecurity (FI) and eating disorders (EDs) among adults, focusing on behaviors, diagnoses, and treatment-seeking intentions.
  • Out of 8,714 respondents, 25% were at risk for FI, which was related to increased binge eating, laxative use, and dietary restriction behaviors.
  • While FI was linked to a higher risk of likely ED diagnosis, it did not significantly affect current treatment status or intentions to seek treatment.
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  • Anorexia nervosa (AN) is a serious illness with high relapse rates after acute treatment, highlighting the need for effective outpatient follow-up care, which is often hard to access due to various barriers like cost and provider shortages.
  • This study involved interviews with 11 professionals from eating disorder treatment centers, exploring their experiences with discharging patients to outpatient services and the use of technology in treatment.
  • Participants expressed a strong interest in developing a new mobile app to support patients post-discharge, suggesting it could enhance treatment by providing valuable content and fostering social connections.
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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.

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Research 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).

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  • The study aimed to identify factors that influence whether individuals in the U.S. seek and receive treatment for eating disorders after completing an online screening by the National Eating Disorders Association.
  • Out of over 263,000 respondents, only 3.8% completed a follow-up survey, revealing that 35.7% sought treatment and 22.4% actually received it, with higher rates among females, White individuals, and those over 24.
  • The findings show a need for improved screening mechanisms to better serve underserved populations and address barriers preventing treatment, especially for those with significant body image concerns.
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Background: 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.

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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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