Japanese version of the Constitution in Chinese Medicine Questionnaire (CCMQ-J) in Chinese consists of 60 items for 9 sub-scales called Gentleness, Qi-deficiency, Yang-deficiency, Yin-deficiency, Phlegm-wetness, Wet-heat, Blood-stasis, Qi-depression, and Special diathesis. Each question is answered by choosing one form 5 grades of a Likert scale where the grades from 1 to 5 corresponding to Never, Rarely, Sometimes, Often and Always, respectively. In the present study, we examined the relationship of scores based on 597 respondents to 60 items. We tentatively classified 60 items into 12 groups by utilizing the Ward’s hierarchical clustering method and discussed similarity of items and 9 body conditions. Body Mass Index (BMI) and age can be explained by the score of 60 items by partial least square model. Significantly high correlation coefficients between real and estimated values were obtained for BMI (0.81 for male and 0.82 for female) and age (0.82 for male and 0.83 for female). Those results indicate that the answers to the 60 items can reflect aging and BMI properties and CCMQ-J can be used to assess the situation of health for evaluating the actual aging conditions in human.

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.

Chinese Medicine Questionnaire (CCMQ-J) consists of sixty independent questionnaires and 9 physical constitutions called subscales. One type is balanced constitution (i.e., gentleness), and the following eight types represent unbalanced constitution: Qi-deficiency constitution, Yang-deficiency constitution, Yin-deficiency constitution, Phlegm-dampness constitution, Damp-heat constitution, Stagnant Blood constitution, Stagnant Qi constitution, and Inherited Special constitution. In this study, we proposed to determine optimal number of groups in 851 participants recruited from crowdsourcing answered CCMQ-J questionnaire consisting of 60 questions. In the present study, we applied k-means clustering with gap statistics to the questionnaire data and the number of optimal groups was estimated by five. The five groups are mainly characterized by 3 subscales in CCMQ-J, i.e. (i) two subscales corresponding to Yang-deficiency and Qi-depress, (ii) three subscales corresponding to gentleness, Yang-deficiency and Qi-depress (iii) Yang-deficiency, (iv) gentleness, and (v) Qi-depress. In the crowdsourcing survey, two subscales, Yang-deficient and Qi-depress are the most frequently occurred in current Japanese people.

Variety of accessibility to edible species in different regions has climatic and historical roots. In the present study, we try to systematically analyze 28,064 records of relationships between 11,752 edible species and 228 geographic zones by hierarchical clustering. The 228 geographic regions were classified into 11 super groups named as A to K, which were further divided into 39 clusters (CLs). Of them, at least one member of each of 28 CLs is associated to 20 or more edible species according to present information of KNApSAcK DB (http://kanaya.naist.jp/KNApSAcK_World/top.jsp). We examined those 28 CLs and found that majority of the members of each of the 27 CLs (96%) have specific type of climate. Diversity of accessibility to edible species makes it possible to separate 8 geographic regions on continental landmasses namely Mediterraneum, Baltic Sea, Western Europe, Yucatan Peninsula, South America, Africa and Arabian Peninsula, Southeast Asia, and Arctic Ocean; and three archipelagos namely, Caribbean Islands, Southeast Asian Islands and Pacific Islands. In addition, we also examined clusters based on cultural exchanges by colonization and migration and mass movement of people and material by modern transportation and trades as well as biogeographic factors. The era of big data science or data intensive science make it possible to systematically understand the content in huge data and how to acquire suitable data for specific purposes. Human healthcare should be considered on the basis of culture, climate, accessibility of edible foods and preferences, and based on molecular level information of genome and digestive systems.