Sasangin Diagnosis Questionnaire: Test of Reliability

Yoo, Jung-Hee; Kim, Jong-Won; Kim, Kyu-Kon; Kim, Jong-Yeol; Koh, Byung-Hee; Lee, Eui-Ju

doi:10.1089/acm.2006.5293

Cited by 34 publications

(28 citation statements)

References 3 publications

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“…The Questionnaire for Sasang Constitution Classification (QSCC) is a program widely used in this field, and it has been shown that physical constitution changes according to appearance, character, common symptoms, and reactions to certain foods. More than 30 papers have been published since 1991 in this field, and many scientific methodologies have been introduced from consultations with psychologists, Korean language experts, and statisticians [14][15][16][17][18][19][20][21].…”

Section: Questioning Diagnosis (Interview)mentioning

confidence: 99%

Physiome and Sasang Constitutional Medicine

et al. 2008

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Sasang Constitutional Medicine (SCM) is a traditional Korean form of medicine widely used in the clinical diagnosis and treatment of disease. This paper reviews the main aspects of SCM and "physiome" with emphasis on integrative and holistic characteristics. Methodological and physiological aspects of SCM are summarized with reference to existing studies. The main characteristics of SCM, such as the four physical constitutions and diagnostic methods, are introduced.Moreover, physiome and systems medicine are introduced as plausible candidates for integrative medicine and are compared to reductionism-based molecular biology. We also discuss the conceptual similarity of SCM with predictive, preventive, personalized, and participative (P4) medicine. It is emphasized that the integrative and creative combination of SCM and physiome will unlock a new era of holistic medicine.

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Section: Questioning Diagnosis (Interview)mentioning

confidence: 99%

Physiome and Sasang Constitutional Medicine

et al. 2008

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“…According to the SCM perspective, human beings can be classified into four constitutional types: Tae-Yang (TY), So-Yang (SY), Tae-Eum (TE), and So-Eum (SE). These types have typically distinct characteristics in terms of equilibrium among internal organ functions, external appearance, personality traits, and their responses to drugs and treatment 1, 2, 3, 4, 5, 6. The constitutional approach of SCM has received attention because of its utility for individualized therapy; SCM can help patients avoid unnecessary side-effects while increasing efficacy by prescribing the appropriate medicine for each constitutional type 1, 2.…”

Section: Introductionmentioning

confidence: 99%

“…The constitutional approach of SCM has received attention because of its utility for individualized therapy; SCM can help patients avoid unnecessary side-effects while increasing efficacy by prescribing the appropriate medicine for each constitutional type 1, 2. Before prescription, therefore, the patient's constitution is diagnosed in a noninvasive way based on an analysis of factors, such as external appearance, voice, and personality traits, by SCM doctors’ five senses 5, 6. Facial features, in particular, have been firmly regarded by SCM doctors as representative and reliable characteristics for distinguishing among Sasang constitutional (SC) types 7 .…”

Section: Introductionmentioning

confidence: 99%

Analysis of Sasang constitutional types using facial features with compensation for photographic distance

Jang

et al. 2012

Integrative Medicine Research

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BackgroundFacial features are regarded as representative and reliable characteristics for diagnosing a person's Sasang Constitution (SC). However, the description of these features tends to depend on the interpretation and the opinion of the doctor that follows the SC approach. In this paper, we performed a facial feature analysis of SC types in an objective and quantitative manner. Here, site-to-site variability can be an obstacle to properly analyzing facial features when images are taken from various sites, which may have different experimental environments. A compensation technique to reduce the site-to-site variability was proposed before performing the feature analysis.MethodsThe frontal and profile images of 1464 patients recruited from various oriental medical clinics (19 sites) were used. Candidate feature variables were created, which were inspired by the facial characteristics of the SC types described in the Sasang constitutional medicine literature. To resolve the problems involved in processing data collected from various sites with heterogeneous experimental environments, a compensation technique was proposed. Statistical analysis techniques were employed to observe the differences among the SC types and to demonstrate how effectively the site-to-site variability was reduced.ResultsThe facial features that were significant for diagnosing the SC types were identified by a statistical analysis, and it was verified that the compensation technique reduced the site-to-site variability produced by the differences in photographic distance.ConclusionIt is noted that the significant facial features represent common characteristics of each SC type in the sense that we collected extensive opinions from many Sasang constitutional medicine doctors with various points of view. Additionally, a compensation method for the photographic distance is needed to find the significant facial features. We expect these findings and the related compensation technique to contribute to establishing a scientific basis for the precise diagnosis of SC types in clinical practice.

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“…Previous questionnaires, such as the Yin Deficiency and the Sasang Diagnosis Questionnaires, are good examples of this. 10,11 In pathologic pattern identification, there exist both detailed TCM patterns such as ''qi stagnation transforming into Heat with Dampness accumulation'' 12 and also broader pattern categories such as yin, yang, Cold, Heat, Excess, and Deficiency. Some advantages of this broad approach are that it may be easier for practitioners to agree on the fundamental characteristics than on more detailed evaluations and that it captures the important and essential elements of TCM diagnosis.…”

Section: Introductionmentioning

confidence: 99%