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Updated: May 12, 2026

Using the Activity-based Anorexia Rodent Model to Study the Neurobiological Basis of Anorexia Nervosa
Published on: October 22, 2015
A Commentary on "Comparing Operationalizations of Eating Disorder Recovery Using a Comprehensive Lens: Physical,
Charlotte Bovenberg1, Suman Ambwani2, Valentina Cardi1,3
1Centre for Research in Eating and Weight Disorders, Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
Defining eating disorder recovery is challenging. New criteria for anorexia nervosa (AN) showed low recovery rates, suggesting they may be too strict and not capture meaningful change for AN patients.
Area of Science:
- Psychiatry
- Clinical Psychology
- Eating Disorders Research
Background:
- Standardized criteria for eating disorder recovery are lacking.
- Multidimensional, transdiagnostic criteria for recovery are proposed.
- The suitability of these criteria for anorexia nervosa (AN) requires evaluation.
Purpose of the Study:
- To evaluate the applicability of proposed transdiagnostic recovery criteria to anorexia nervosa (AN).
- To assess the rates and stability of recovery in AN patients using these criteria.
- To identify implications for refining recovery definitions in AN.
Main Methods:
- Application of a partial version of proposed recovery criteria to two independent AN datasets.
- Analysis of recovery rates in a high-severity inpatient/day-patient sample.
- Assessment of recovery rates in an outpatient sample.
Main Results:
- Very low rates of full recovery were observed in AN samples.
- Marked instability in recovery status over time was noted.
- The proposed criteria may be overly restrictive for AN, defining recovery as rare and fragile.
Conclusions:
- Current criteria may not be sufficiently sensitive to clinically meaningful change in AN.
- Future AN recovery definitions should include broader functional outcomes and lived experience perspectives.
- Recovery in AN should be viewed as a nonlinear, evolving process, not a binary state.
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