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The Latent Class Structure of Chinese Patients with Eating Disorders in Shanghai.

AbstractBACKGROUND:
Eating disorder is culture related, and the clinical symptoms are different between eastern and western patients. So the validity of feeding and eating disorders in the upcoming ICD-11 guide for Chinese patients is unclear.
AIMS:
To explore the latent class structure of Chinese patients with eating disorder and the cross-cultural validity of the eating disorder section of the new ICD-11 guide in China.
METHODS:
A total of 379 patients with eating disorders at Shanghai Mental Health Center were evaluated using the EDI questionnaire and a questionnaire developed by researchers from 2010 to 2016. SPSS 20.0 was used to enter data and analyze demographic data, and Latent GOLD was employed to conduct latent profile analysis.
RESULTS:
According to the results of latent profile analysis, patients with eating disorder were divided into five classes: low-weight fasting class (23.1%), non-fat-phobic binge/purge class (21.54%), low-fat-phobic binge class (19.27%), fat-phobic binge class (19.27%), and non-fat-phobic low-weight class (16.76%). Among the clinical symptoms extracted, there were significant differences in Body Mass Index (BMI), binge eating behavior, self-induced vomiting, laxative use and fat-phobic opinion; while there was no significant difference in restrictive food intake.
CONCLUSIONS:
Based on the clinical symptoms, there are five latent classes in Chinese patients with eating disorder, which is in accordance with the diagnostic categories of feeding and eating disorder in ICD-11. However, further work is needed in improving the fat-phobic opinion of patients with eating disorder and clarifying the BMI standard of thinness in the Chinese population.
AuthorsYuchen Zheng, Qing Kang, Jiabin Huang, Wenhui Jiang, Qiang Liu, Han Chen, Qing Fan, Zhen Wang, Jue Chen, Zeping Xiao
JournalShanghai archives of psychiatry (Shanghai Arch Psychiatry) Vol. 29 Issue 4 Pg. 200-207 (Aug 25 2017) ISSN: 1002-0829 [Print] China
PMID28955139 (Publication Type: Journal Article)

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