Unveiling the associations between self-reported morbidities and the constitutional-Chinese medicine questionnaire in the Taiwan Biobank: A cross-sectional association study
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引用次数: 0
Abstract
Constitutional medicine was a transition from evidence-based medicine to precision medicine following the origin of Chinese medicine. The Constitutional CM Questionnaire (CM-CQ) commonly considers the various phenotypes observed as phenomes. However, the comprehensive associations between diseases and the phenotype of the questionnaire remained uncertain. Using the Taiwan Biobank pilot data, we conducted a community-based cross-sectional study of approximately 10,000 people. We separately evaluated the associations between general self-reported diseases and 44 items of CM-CQ questions using the binomial logistic regression model. Some chronic diseases must be predicted or shown to be associated with the self-declared condition of some CM-CQ questions with significant associations (Bonferroni adjusted p-value equal to 0.001) of all CM-CQ pre-existing diseases. Each CM-CQ question from Taiwan Biobank has shown a less significant overall effect on each disease, and the probability ratios generally approach a risk of less than two times. In addition, some diseases such as high blood pressure, gout, and diabetes, especially these common diseases, show increasing trends in the importance threshold and probability ratios (more than twice the risk). CM-CQ is regarded as an alteration in Chinese medical clinical characteristics. The final response concluded that biological databases provided evidence to clarify the association between Chinese medicine, different forms of illness, and the self-declared diseases of modern medicine, and the risk of diseases was assessed separately through each question. The exploratory questionnaire and self-reported conditions for the Chinese Medicine initiative clarified the associations between biobanks and community studies.
期刊介绍:
Computers in Biology and Medicine is an international forum for sharing groundbreaking advancements in the use of computers in bioscience and medicine. This journal serves as a medium for communicating essential research, instruction, ideas, and information regarding the rapidly evolving field of computer applications in these domains. By encouraging the exchange of knowledge, we aim to facilitate progress and innovation in the utilization of computers in biology and medicine.