ArticleChinese journal of integrative medicine2020
Syndrome Differentiation of Chinese Medicine in Mars 500 Long-Term Closed Environment.
Article in Chinese journal of integrative medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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2 citing papers in PubMed.
- Comparison between Traditional Chinese Medicine Constitution and Blood Biochemical Markers Associated with Left and Right Mammary Hyperplasia in Rural Areas of Southwest China.Journal of healthcare engineering · 2022Article
- Constitutions of Deficiency and Stasis of Traditional Chinese Medicine and Related Factors among Middle-Aged Women in Taiwan.Evidence-based complementary and alternative medicine : eCAM · 2020Article
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12 authors.
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Abstract
objectiveTo summarize and elucidate the characteristics and evolvement of Chinese medicine (CM) patterns reflecting the physical and mental conditions of participants in the Mars 500 long-term closed environment.
methodsThe DS01-T Digital TCM Four-Diagnostic Instrument and CM Inquiring Diagnostic Questionnaire were used to collect information from 6 participants in the Mars 500 International Joint Research Project, through diagnostic methods of observation, palpation and inquiry according to CM theory. During the 520 days of the experiment, data collection was performed 37 times; a total of over 400 digital images of tongues and facial complexion and over 20,000 data were collected. These data were then analyzed by a team of experts in CM, statistics, and data mining.
resultsThe CM pattern evolvement of participants in the long-term closed environment followed some common trends. Qi deficiency was the main CM pattern observed, with individual features depending on constitutional differences [manifested in varying degrees of accompanying patterns of Gan (Liver) qi stagnation, Pi (Spleen) deficiency, dampness encumbering, or yin deficiency].
conclusionThe research has verified the effectiveness of CM syndrome differentiation based on the four diagnostic methods, which should serve as a solid foundation for observation, monitoring, and intervention in regard to the health conditions of astronauts in long-term space flights in the future.
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