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Introduction: Integrated medicine has become an important issue in this century. In order to bridge the gap between traditional Chinese medicine (TCM) and modern medicine, we have established a first final version of a Yang-Xu constitution questionnaire, the BCQ+, in a previous study. The objective of the present investigation is to assess the reliability and validity of the BCQ+. Participants and Methods: A total of 1,310 eligible participants, aged between 20–60, no disease onset in the past month, who received health examination in teaching hospitals were recruited. The BCQ+ was developed and psychometrically evaluated to ascertain and validate the factor structure of the BCQ+. Furthermore, the reliability and validity of the BCQ+ were examined. Results: 19 items from the BCQ+ were developed. Exploratory factor analysis identified 5 primary domains that represent the Yang-Xu constitution and correspond to the diminishing energy levels of 5 different body areas: head, chest, limbs, abdominal cavity, and body surface. Cronbach’s αranged between 0.55–0.88 and the intraclass correlation coefficients were >0.7 for most of the 19 questions. The diagnoses of Yang-Xu by the BCQ+ and an experienced TCM doctor were consistent. Systolic blood pressure (SBP) was used as an indicator of concurrent validity of the BCQ+, and it was found that higher Yang-Xu scores were associated with a lower SBP. Conclusions: Five domains with 19 items in the BCQ+ were developed. The BCQ+ is a valid and potentially useful tool for evaluating the Yang-Xu constitution in clinical practice and research.

Background: Based on the Traditional Chinese Medicine (TCM) theory and guided by the principles of modern medicine (MM), we aimed to develop an effective and reliable diagnostic tool using self-reported data in order to assess the Yin-Xu body constitution. In this study, we further evaluated a provisional 22-item version of the Yin-Xu Body Constitution Questionnaire (BCQ–) previously derived from the Delphi process. Methods: A total of 1,272 eligible participants aged between 20 and 60 years was recruited. The participants had received health examination in teaching hospitals and had not shown any disease onset in the prior month. The factor structure of the BCQ– was explored, and the reliability and validity of each derived factor (scale) were evaluated. Results: Exploratory factor analysis revealed 5 factors corresponding to the manifestations of the diminishing Yin-Xu level in 5 different body areas: head, 4 limbs, gastrointestinal tract, body surface, and abdominal cavity. 3 items with low factor loading (<0.4) were dropped, resulting in a 19-item BCQ–. Cronbach’s α ranged from 0.57 to 0.85, and the intra-class correlation coefficients were greater than 0.7 for most items. The diagnoses of Yin-Xu by both the BCQ– and experienced TCM doctors were consistent. The concurrent validity showed that higher Yin-Xu scores were associated with lower hemoglobin. Conclusions: The final BCQ– measures the Yin-Xu constitution of 5 different body areas. The questionnaire is a reliable, valid, and potentially useful instrument for evaluating the Yin-Xu constitution in clinical research and practice.

Previous work from our laboratory has demonstrated that the percentage differences of 2nd (C2) and 3rd (C3) pulse harmonics related to Kidney and Spleen were both increased toward another steady state in rats after acute hemorrhage. Therefore, it is suggested that changes in pulse spectra might represent the ability of animals to survive a model of progressive hemorrhage. In this study, the difference of the pulse spectra patterns between survivors and non-survivors after progressive hemorrhage (by loss of 5%, 10% or 20% of the estimated blood volume) in anesthetized rats is determined. Seven rats, dead within 2 hours after a loss of 20% of the estimated blood volume hemorrhage, were defined as 'non-survivors'. The other eleven rats, more than 2 hours after hemorrhage, were defined as 'survivors'. Pulse waves of arterial blood pressure before and after the hemorrhage were measured in parallel to the pulse spectrum analysis. Data among different phases were analyzed using one-way analysis of variance (ANOVA) with Duncan's test for pairwise comparisons. Differences between survivor and non-survivor groups at each phase were analyzed using Student's t-test. A mixed-effects linear regression model was applied to evaluate the relationship in harmonics, which significantly differed between the two groups. The study results showed that in rats, during progressive hemorrhage, the percentage differences of 2nd harmonic proportion increased significantly; however, the result failed to show any significant difference between survivors and non-survivors. After the third blood withdrawal process, the percentage differences of 3rd harmonic proportion increased more significantly in the survivors. In addition, the percentage differences of 1st harmonic proportion related to the Liver for the survivor group was significantly lower than that of the non-survivors. After analysis with the mixed linear regression model, C3 and C1 demonstrated a linear regression relationship, and there existed significant differences between survivors and non-survivors. These results suggest that C3 might play an important role in physiology regarding surviving capability after progressive hemorrhage.