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Evaluation and Interpretation of 9 Body Constitution Scores of CCMQ-J by Seven Independent Questionnaires / 日本補完代替医療学会誌
Japanese Journal of Complementary and Alternative Medicine ; : 79-93, 2019.
Article in English | WPRIM | ID: wpr-758242
ABSTRACT
In this study, we proposed an approach to interpret the classification of body constitution based on the Japanese Version of Constitution in Chinese Medicine Questionnaire (CCMQ-J) in terms of an augmented questionnaire combining seven independent questionnaires. The augmented questionnaire consists of 254 questions in terms of seven categories of attributes, which are the (i) basic information (BI), (ii) disease (DI), (iii) social factors (SO), (iv) mental factors (ME), (v) dietary habits (DH), (vi) sleeping state (SL), and (vii) sub-health (SH). The partial least square (PLS) regression has been adopted to model the correlations between the scores of body constitutions and the questions, and their results show that the body constitution can be represented by the linear combination of the questions substantially (correlation coefficients between the true and predicted constitutions are all above 0.7). Moreover, by using the crowdsourcing technique in data collection, a total of 851 samples (350 males and 501 females between 20 and 85 years old) samples with diverse geographical backgrounds in Japan have been collected, from which new medical implications have been extracted through the discussion in a Traditional Chinese Medicine standpoint. This study serves as a crucial step for validating the philosophy of ancient Chinese medicine by the state-of-the-art information science techniques and facilitating the use of the CCMQ-J in public healthcare.

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Index: WPRIM (Western Pacific) Type of study: Prognostic study Language: English Journal: Japanese Journal of Complementary and Alternative Medicine Year: 2019 Type: Article

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Index: WPRIM (Western Pacific) Type of study: Prognostic study Language: English Journal: Japanese Journal of Complementary and Alternative Medicine Year: 2019 Type: Article