Cargando…
The classification of eating disorders in China: A categorical model or a dimensional model
OBJECTIVE: According to the ICD‐10 and DSM‐5, eating disorders (EDs) are classified using a categorical model that assumes the subtypes are qualitatively different from one another. However, it is still intensely debated that a dimensional model is more suitable. The aim of this study is to examine...
Autores principales: | , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley & Sons, Inc.
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6618033/ https://www.ncbi.nlm.nih.gov/pubmed/30883838 http://dx.doi.org/10.1002/eat.23069 |
_version_ | 1783433827147841536 |
---|---|
author | Zheng, Yuchen Kang, Qing Huang, Jiabin Jiang, Wenhui Liu, Qiang Chen, Han Fan, Qing Wang, Zhen Xiao, Zeping Chen, Jue |
author_facet | Zheng, Yuchen Kang, Qing Huang, Jiabin Jiang, Wenhui Liu, Qiang Chen, Han Fan, Qing Wang, Zhen Xiao, Zeping Chen, Jue |
author_sort | Zheng, Yuchen |
collection | PubMed |
description | OBJECTIVE: According to the ICD‐10 and DSM‐5, eating disorders (EDs) are classified using a categorical model that assumes the subtypes are qualitatively different from one another. However, it is still intensely debated that a dimensional model is more suitable. The aim of this study is to examine whether EDs have a categorical or dimensional latent structure using a sample of Chinese ED patients. METHOD: The sample included 322 patients, diagnosed with an ED from 2010 to 2017 in the Shanghai Mental Health Center, and comparison participants (N = 850), recruited from undergraduate students in one university in Shanghai. Participants were evaluated with the Eating Disorder Inventory‐2 (EDI‐2) questionnaire and another questionnaire developed by the researchers. Three taxometric procedures (MAXimum EIGenvalue [MAXEIG], latent‐mode factor analysis [L‐Mode], and Mean Above Minus Below A Cut [MAMBAC]) were applied, respectively, to analyze the patients' clinical symptoms data. RESULTS: Patients were divided into three groups according to their clinical diagnosis. The plots of the three taxometric analysis procedures supported the categorical construct in anorexia nervosa, binge‐eating/purging group, and bulimia nervosa group. The Comparison Curve Fit Indices of the MAXEIG, L‐Mode, and MAMBAC procedures were 0.694, 0.709, 0.704 in the AN‐BP group and 0.727, 0.67, 0.62 in the BN group, respectively, which also support the categorical construct. DISCUSSION: The results support two distinct classes of ED subtypes among Chinese sample. Further work on applying hybrid model in analysis has been discussed. |
format | Online Article Text |
id | pubmed-6618033 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | John Wiley & Sons, Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-66180332019-07-22 The classification of eating disorders in China: A categorical model or a dimensional model Zheng, Yuchen Kang, Qing Huang, Jiabin Jiang, Wenhui Liu, Qiang Chen, Han Fan, Qing Wang, Zhen Xiao, Zeping Chen, Jue Int J Eat Disord Original Articles OBJECTIVE: According to the ICD‐10 and DSM‐5, eating disorders (EDs) are classified using a categorical model that assumes the subtypes are qualitatively different from one another. However, it is still intensely debated that a dimensional model is more suitable. The aim of this study is to examine whether EDs have a categorical or dimensional latent structure using a sample of Chinese ED patients. METHOD: The sample included 322 patients, diagnosed with an ED from 2010 to 2017 in the Shanghai Mental Health Center, and comparison participants (N = 850), recruited from undergraduate students in one university in Shanghai. Participants were evaluated with the Eating Disorder Inventory‐2 (EDI‐2) questionnaire and another questionnaire developed by the researchers. Three taxometric procedures (MAXimum EIGenvalue [MAXEIG], latent‐mode factor analysis [L‐Mode], and Mean Above Minus Below A Cut [MAMBAC]) were applied, respectively, to analyze the patients' clinical symptoms data. RESULTS: Patients were divided into three groups according to their clinical diagnosis. The plots of the three taxometric analysis procedures supported the categorical construct in anorexia nervosa, binge‐eating/purging group, and bulimia nervosa group. The Comparison Curve Fit Indices of the MAXEIG, L‐Mode, and MAMBAC procedures were 0.694, 0.709, 0.704 in the AN‐BP group and 0.727, 0.67, 0.62 in the BN group, respectively, which also support the categorical construct. DISCUSSION: The results support two distinct classes of ED subtypes among Chinese sample. Further work on applying hybrid model in analysis has been discussed. John Wiley & Sons, Inc. 2019-03-18 2019-06 /pmc/articles/PMC6618033/ /pubmed/30883838 http://dx.doi.org/10.1002/eat.23069 Text en © 2019 The Authors. International Journal of Eating Disorders published by Wiley Periodicals, Inc. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Articles Zheng, Yuchen Kang, Qing Huang, Jiabin Jiang, Wenhui Liu, Qiang Chen, Han Fan, Qing Wang, Zhen Xiao, Zeping Chen, Jue The classification of eating disorders in China: A categorical model or a dimensional model |
title | The classification of eating disorders in China: A categorical model or a dimensional model |
title_full | The classification of eating disorders in China: A categorical model or a dimensional model |
title_fullStr | The classification of eating disorders in China: A categorical model or a dimensional model |
title_full_unstemmed | The classification of eating disorders in China: A categorical model or a dimensional model |
title_short | The classification of eating disorders in China: A categorical model or a dimensional model |
title_sort | classification of eating disorders in china: a categorical model or a dimensional model |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6618033/ https://www.ncbi.nlm.nih.gov/pubmed/30883838 http://dx.doi.org/10.1002/eat.23069 |
work_keys_str_mv | AT zhengyuchen theclassificationofeatingdisordersinchinaacategoricalmodeloradimensionalmodel AT kangqing theclassificationofeatingdisordersinchinaacategoricalmodeloradimensionalmodel AT huangjiabin theclassificationofeatingdisordersinchinaacategoricalmodeloradimensionalmodel AT jiangwenhui theclassificationofeatingdisordersinchinaacategoricalmodeloradimensionalmodel AT liuqiang theclassificationofeatingdisordersinchinaacategoricalmodeloradimensionalmodel AT chenhan theclassificationofeatingdisordersinchinaacategoricalmodeloradimensionalmodel AT fanqing theclassificationofeatingdisordersinchinaacategoricalmodeloradimensionalmodel AT wangzhen theclassificationofeatingdisordersinchinaacategoricalmodeloradimensionalmodel AT xiaozeping theclassificationofeatingdisordersinchinaacategoricalmodeloradimensionalmodel AT chenjue theclassificationofeatingdisordersinchinaacategoricalmodeloradimensionalmodel AT zhengyuchen classificationofeatingdisordersinchinaacategoricalmodeloradimensionalmodel AT kangqing classificationofeatingdisordersinchinaacategoricalmodeloradimensionalmodel AT huangjiabin classificationofeatingdisordersinchinaacategoricalmodeloradimensionalmodel AT jiangwenhui classificationofeatingdisordersinchinaacategoricalmodeloradimensionalmodel AT liuqiang classificationofeatingdisordersinchinaacategoricalmodeloradimensionalmodel AT chenhan classificationofeatingdisordersinchinaacategoricalmodeloradimensionalmodel AT fanqing classificationofeatingdisordersinchinaacategoricalmodeloradimensionalmodel AT wangzhen classificationofeatingdisordersinchinaacategoricalmodeloradimensionalmodel AT xiaozeping classificationofeatingdisordersinchinaacategoricalmodeloradimensionalmodel AT chenjue classificationofeatingdisordersinchinaacategoricalmodeloradimensionalmodel |