Eating disorder treatment in routine clinical care
Compared inpatient and outpatient treatment outcomes for Anorexia Nervosa (AN) and Bulimia Nervosa (BN) across Germany and Switzerland. Followed 116 female patients to measure treatment effectiveness in real-world settings.
Link:
https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0280402
Rapid review of eating disorder outcomes
Identified high mortality rates, suicide risk, and chronicity in eating disorders, along with increased global prevalence and under-recognition.
Link:
https://jeatdisord.biomedcentral.com/articles/10.1186/s40337-023-00801-3
ARFID genetics & prevalence study
Highlighted Avoidant/Restrictive Food Intake Disorder (ARFID) as a biologically distinct condition. Used twin and population data to estimate prevalence and heritability.
Link:
https://www.nationaleatingdisorders.org/statistics
Validation of the Munich ED‑Quest questionnaire
Created and validated a DSM‑5-aligned clinical tool for eating disorder assessment. Tracked long-term outcomes in patients with chronic Anorexia Nervosa.
Link:
https://de.wikipedia.org/wiki/Manfred_M._Fichter
Maudsley Family Therapy efficacy
Reviewed decades of trials assessing Maudsley-based Family Therapy vs. individual counseling for adolescent AN and BN. Found consistent benefits for family-based models.
Link:
https://en.wikipedia.org/wiki/Maudsley_family_therapy
Anorexia Nervosa Genetics Initiative (ANGI)
A large-scale study identifying genomic risk factors for AN. Discovered correlations with depression, anxiety, and metabolic regulation.
Link:
https://de.wikipedia.org/wiki/Anorexia_Nervosa_Genetics_Initiative
Pro‑ana radicalization via Twitter
Explored the online behavior of pro‑anorexia Twitter communities. Found similarities to radicalization dynamics and long-term engagement loops.
Link:
https://arxiv.org/abs/2305.11316
Automated classification of ED content on Twitter
Used machine learning to categorize tweets about eating disorders. Distinguished between educational, promotional, and personal content with high accuracy using BERT models.
Link:
https://arxiv.org/abs/2402.05571
Context-enhanced detection of ED behaviors
Combined social context with AI-powered embeddings and knowledge graphs to improve automated screening for ED content across online platforms.
Link:
https://arxiv.org/abs/2402.05536
fMRI analysis of Binge Eating Disorder
Conducted brain scans of adults with Binge Eating Disorder. Found key differences in areas linked to impulse control and food cue reactivity.
Link:
https://www.nationaleatingdisorders.org/research-study-listings/