• Title/Summary/Keyword: KCMB

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An Overview on the Construction of Korea Constitutional Multicenter Bank for Sasang Constitutional Medicine (체질정보은행 구축현황에 관한 소고)

  • Baek, Young-Hwa;Jin, Hee-Jeong;Kim, Ho-Seok;Jang, Eun-Su;Lee, Si-Woo
    • Journal of Sasang Constitutional Medicine
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    • v.24 no.2
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    • pp.47-53
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    • 2012
  • 1. Objectives : The aim of the present study was to describe the Korea Constitutional Multicenter Bank (KCMB), which was various clinical data bank for scientific advancement of constitutional diagnosis and treatment. 2. Methods and Results : The KCMB is based on the 28 multi-institute cooperative clinical research networks including domestic and international institute. Since the KCMB was founded in 2006, data have been accumulated from 10,412 subjects. The KCMB consists of three parts: The clinical constitutional data, the measurement data, and the biological data. The method of data entry is via web based electronic Case Report From (eCRF). The eCRF has been developed and programed to ensure the efficient entry of data. We also developed coding manual, ongoing quality control assessment to obtain high-quality data. 3. Conclusions : The KCMB with various data contribute to providing the scientification of Sasang Constitutional Medicine.

A Study about a Short-form of the Sasang Constitution Questionnaire for Patient (SSCQ-P) (환자용 사상체질설문지(SSCQ-P) 축소화에 관한 연구)

  • Jeong, Jong-Hun;Jeon, Soo-Hyung;Na, Young-Ju;Kang, Seok-Hwan;Dong, Sang-Oak;Lee, Si-Woo;Kim, Kyu-Kon;Kim, Jong-Won;Kim, Sang-Hyuk
    • Journal of Sasang Constitutional Medicine
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    • v.26 no.4
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    • pp.339-349
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    • 2014
  • Objectives This study was performed to make a short-form of Sasang Constitution Questionnaire for Patient(SSCQ-P). Methods In order to select important questions of SSCQ-P, we got advice from 10 professors of Oriental Medicine. As a result, we chose 37 questions. In addition, we selected 69 questions which had been used more than 12 times in SSCQ-P as the variable. We used some statistical methods to reduce questions. Finally, a total of 40 questions were selected. To find diagnostic accuracy rate of this short-form, discriminant analysis was performed. We used 1378 cases which was collect ed from February 2008 to June 2013 by online system(Sasang-medi data which has selected by web site, http://www.sasangmedi.or.kr), and 68 cases which was collected from November 2006 to September 2007 by the research "Construction of a biological information collection system for the Constitutional scientific diagnosis"(Korea Constitutional Multicenter Bank data, KCMB data) Results We made a short-form of SSCQ-P consisting of 40 questions. Diagnostic accuracy rate of short-form is 66.18% using Sasang-medi data, and 42.65% using KCMB data. Conclusions More cases are needed to improve the diagnostic accuracy rate of this short-form.

Study on the Effects of Sasang Psychobiological Factors on General Health Status (일반건강특성에 영향을 미치는 사상체질의 심리적, 신체적 요인에 대한 연구)

  • Chae, Han;Kim, Yun Hee;Park, Soo Hyun;Hwang, Eui Hyoung;Kwon, Young Kyu;Lee, Soo Jin
    • Journal of Physiology & Pathology in Korean Medicine
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    • v.28 no.4
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    • pp.452-459
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    • 2014
  • The purpose of this study was to examine the correlation between general health condition and biopsychological traits of Sasang typology which determines the disease susceptibility and treatment responses. We had Korean Constitutional Multicenter Bank (KCMB) listed 1156 participants for measuring Sasang Personality Questionnaire (SPQ) and Body Mass Index (BMI) for biopsychological traits of each Sasang types as well as Short Form 12 (SF12) for general health status. All the analysis was performed with consideration of gender and age. We analyzed the differences in general health status between Sasang types and the correlation between general health status and biopsychological traits of Sasang typology. We also analyzed how much the selected SF12 subscales can be explained with biopsychosocial characteristics. There were no generaliszable differences among Sasang type groups in SF12, no significant correlation between biopsychological traits and SF12 Physical and Mental Component Summary. We found that there were significant correlations between SPQ-Behavior subscale and SF12 Vitality, and the regression model with SPQ-Behavior, SPQ-Emotionality, age and sex can predict 15.4% of the total variances in SF12 Vitality. We discussed the possibility that the Sasang typology is not a determinant of general health status but a moderator for the susceptibility and response. This study would contribute to the development of Sasang type-specific life nurturing program focusing on the psychological perspectives.