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Dataset Information

Classification of subtypes of patients with eating disorders by correspondence analysis.


ABSTRACT:

Background

Grouping eating disorders (ED) patients into subtypes could help improve the establishment of more effective diagnostic and treatment strategies.

Aim

To identify clinically meaningful subgroups among subjects with ED using multiple correspondence analysis (MCA).

Methods

A prospective cohort study was conducted of all outpatients diagnosed for an ED at an Eating Disorders Outpatient Clinic to characterize groups of patients with ED into subtypes according to sociodemographic and psychosocial impairment data, and to validate the results using several illustrative variables. In all, 176 (72.13%) patients completed five questionnaires (clinical impairment assessment, eating attitudes test-12, ED-short form health-related quality of life, metacognitions question

SUBMITTER: Martin J 

PROVIDER: S-EPMC8311511 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature