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A Study on a concept of Food Accumulation using Multidimensional Scaling - Comparison between Pyungweesan Questionnaire and Health Related Questionnaires -  

Lee, Cheong-Hee (Dept. of Biofunctional Medicine and Diagnosis, College of Oriental Medicine, Kyung-Hee University)
Park, Young-Jae (Dept. of Biofunctional Medicine and Diagnosis, College of Oriental Medicine, Kyung-Hee University)
Kim, Min-Yong (Dept. of Human Informatics of Oriental Medicine, Interdisciplinary Programs, Kyung-Hee University)
Lee, Sang-Chul (Dept. of Management Information Systems, Korea Christian University)
Park, Young-Bae (Dept. of Biofunctional Medicine and Diagnosis, College of Oriental Medicine, Kyung-Hee University)
Publication Information
The Journal of the Society of Korean Medicine Diagnostics / v.15, no.2, 2011 , pp. 141-148 More about this Journal
Abstract
Objectives: In comparison with functional dyspepsia, food accumulation is known to have wider concept. On this study, we will make a proposal on the concept of food accumulation by a statistical comparison between pyungweesan questionnaire and health related questionnaires. Methods: We studied the similarities between six factors of pyungweesan questionnaire and four health related questionnaires(Rome II criteria of functional dyspepsia, subjective symptoms of fatigue test, beck depression inventory, state-trait anxiety inventory, etc.) using multidimensional scaling. Results and Conclusions: 1. Physical-emotional axis and acute-chronic axis were labelled in a two-dimensional scaling solution. 2. Seup-dam(濕痰) factor and sik-che(食滯) factor of food accumulation were closely related to fatigue. 3. Bi-seup(脾濕) factor of food accumulation was closely related to depression and anxiety. 4. The findings suggest that a concept of food accumulation reflects some aspects of physical fatigue and emotional depression as well as dyspepsia.
Keywords
Food accumulation; pyungweesan; dyspepsia; fatigue; depression; anxiety; multidimensional scaling;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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