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  3. Premorbid body weight predicts weight loss in both anorexia nervosa and atypical anorexia nervosa: Further support for a single underlying disorder.
 

Premorbid body weight predicts weight loss in both anorexia nervosa and atypical anorexia nervosa: Further support for a single underlying disorder.

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BORIS DOI
10.48350/194867
Date of Publication
April 2024
Publication Type
Article
Division/Institute

Universitätsklinik fü...

Contributor
Hebebrand, Johannes
Seitz, Jochen
Föcker, Manuel
Viersen, Hanna Preuss-van
Huss, Michael
Bühren, Katharina
Dahmen, Brigitte
Becker, Katja
Weber, Linda
Correll, Christoph U
Jaite, Charlotte
Egberts, Karin
Romanos, Marcel
Ehrlich, Stefan
Seidel, Maria
Roessner, Veit
Fleischhaker, Christian
Möhler, Eva
Hahn, Freia
Kaess, Michael
Universitätsklinik für Kinder- und Jugendpsychiatrie und Psychotherapie (KJP)
Legenbauer, Tanja
Hagmann, Daniela
Renner, Tobias J
Schulze, Ulrike M E
Thiemann, Ulf
Wessing, Ida
Antony, Gisela
Herpertz-Dahlmann, Beate
Matthews, Abigail
Peters, Triinu
Subject(s)

600 - Technology::610...

Series
The International journal of eating disorders
ISSN or ISBN (if monograph)
1098-108X
Publisher
Wiley
Language
English
Publisher DOI
10.1002/eat.24189
PubMed ID
38528714
Uncontrolled Keywords

5th BMI‐for‐age centi...

Description
OBJECTIVE

For adolescents, DSM-5 differentiates anorexia nervosa (AN) and atypical AN with the 5th BMI-centile-for-age. We hypothesized that the diagnostic weight cut-off yields (i) lower weight loss in atypical AN and (ii) discrepant premorbid BMI distributions between the two disorders. Prior studies demonstrate that premorbid BMI predicts admission BMI and weight loss in patients with AN. We explore these relationships in atypical AN.

METHOD

Based on admission BMI-centile < or ≥5th, participants included 411 female adolescent inpatients with AN and 49 with atypical AN from our registry study. Regression analysis and t-tests statistically addressed our hypotheses and exploratory correlation analyses compared interrelationships between weight loss, admission BMI, and premorbid BMI in both disorders.

RESULTS

Weight loss in atypical AN was 5.6 kg lower than in AN upon adjustment for admission age, admission height, premorbid weight and duration of illness. Premorbid BMI-standard deviation scores differed by almost one between both disorders. Premorbid BMI and weight loss were strongly correlated in both AN and atypical AN.

DISCUSSION

Whereas the weight cut-off induces discrepancies in premorbid weight and adjusted weight loss, AN and atypical AN overall share strong weight-specific interrelationships that merit etiological consideration. Epidemiological and genetic associations between AN and low body weight may reflect a skewed premorbid BMI distribution. In combination with prior findings for similar psychological and medical characteristics in AN and atypical AN, our findings support a homogenous illness conceptualization. We propose that diagnostic subcategorization based on premorbid BMI, rather than admission BMI, may improve clinical validity.

PUBLIC SIGNIFICANCE

Because body weights of patients with AN must drop below the 5th BMI-centile per DSM-5, they will inherently require greater weight loss than their counterparts with atypical AN of the same sex, age, height and premorbid weight. Indeed, patients with atypical AN had a 5.6 kg lower weight loss after controlling for these variables. In comparison to the reference population, we found a lower and higher mean premorbid weight in patients with AN and atypical AN, respectively. Considering previous psychological and medical comparisons showing little differences between AN and atypical AN, we view a single disorder as the most parsimonious explanation. Etiological models need to particularly account for the strong relationship between weight loss and premorbid body weight.
Handle
https://boris-portal.unibe.ch/handle/20.500.12422/175930
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Intl_J_Eating_Disorders_-_2024_-_Hebebrand_-_Premorbid_body_weight_predicts_weight_loss_in_both_anorexia_nervosa_and.pdftextAdobe PDF3.76 MBpublishedOpen
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