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Generalized network psychometrics of eating-disorder psychopathology.


ABSTRACT:

Objective

As network models of eating disorder (ED) psychopathology become increasingly popular in modeling symptom interconnectedness and identifying potential treatment targets, it is necessary to contextualize their performance against other methods of modeling ED psychopathology and to evaluate potential ways to optimize and capitalize on their use. To accomplish these goals, we used generalized network psychometrics to estimate and compare latent variable models and network models, as well as hybrid models.

Method

We tested the structure of the Eating Pathology Symptoms Inventory (EPSI) and Eating Disorder Examination-Questionnaire (EDE-Q) in Recovery Record, Inc. mobile phone application users (N = 6856).

Results

Although all models fit well, results favored a hybrid latent variable and network framework, which showed that ED symptoms fit best when modeled as higher-order constructs, rather than direct symptom-to-symptom connections, and when the relationships between those constructs are described as a network. Hybrid models in which latent factors were modeled as nodes within a network showed that EPSI Purging, Binge Eating, Cognitive Restraint, Body Dissatisfaction, and Excessive Exercise had high importance in the network. EDE-Q Eating Concern and Shape Concern were also important nodes. Results showed that the EPSI network was highly stable and replicable, whereas the EDE-Q network was not.

Discussion

Integrating latent variable and network model frameworks enables tests of centrality to identify important latent variables, such as purging, that may promote the spread of ED psychopathology throughout a network, allowing for the identification of future treatment targets.

SUBMITTER: Forbush KT 

PROVIDER: S-EPMC10108623 | biostudies-literature | 2022 Nov

REPOSITORIES: biostudies-literature

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Publications

Generalized network psychometrics of eating-disorder psychopathology.

Forbush Kelsie T KT   Swanson Trevor J TJ   Chen Yiyang Y   Siew Cynthia S Q CSQ   Hagan Kelsey E KE   Chapa Danielle A N DAN   Tregarthen Jenna J   Wildes Jennifer E JE   Christensen Kara A KA  

The International journal of eating disorders 20220829 11


<h4>Objective</h4>As network models of eating disorder (ED) psychopathology become increasingly popular in modeling symptom interconnectedness and identifying potential treatment targets, it is necessary to contextualize their performance against other methods of modeling ED psychopathology and to evaluate potential ways to optimize and capitalize on their use. To accomplish these goals, we used generalized network psychometrics to estimate and compare latent variable models and network models,  ...[more]

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