Predicting type 2 diabetes using Sasang constitutional medicine.
Nam H Cho1, Jong Yeol Kim2, Sung Soo Kim3
1Department of Preventive Medicine Ajou University School of Medicine Suwon Korea.
Journal of Diabetes Investigation
|November 21, 2014
Summary
The Tae-Eum (TE) type in Sasang constitutional medicine is a significant risk factor for developing type 2 diabetes. This increased risk for type 2 diabetes persists regardless of an individual's obesity level.
Area of Science:
- Integrative and Complementary Medicine
- Genetics and Genomics
- Epidemiology
Background:
- Sasang constitutional medicine (SCM) categorizes individuals into four types: So-Eum (SE), So-Yang (SY), Tae-Eum (TE), and Tae-Yang (TY).
- Accurate Sasang constitution type (SCT) evaluation is crucial for its integration into mainstream medical practice.
Purpose of the Study:
- To investigate the association between Sasang constitution types and the incidence of type 2 diabetes mellitus.
- To determine if the Tae-Eum (TE) type poses an independent risk for type 2 diabetes, irrespective of obesity.
Main Methods:
- Utilized data from the Ansung-Ansan prospective cohort study (10,038 participants, 2001-2002).
- Evaluated Sasang constitution type (SCT) in 2,460 participants.
- Employed Cox proportional hazard models to analyze diabetes risk over a 10-year follow-up period.
Main Results:
- Identified 472 cases of type 2 diabetes mellitus over 22,007 person-years.
- The TE group exhibited significantly higher age, obesity, blood pressure, glucose, and lipid profiles compared to the SE type.
- Tae-Eum (TE) individuals showed a 1.696-fold increased risk of type 2 diabetes compared to the SE type (P=0.003).
- This elevated risk for type 2 diabetes in the TE group remained significant even after controlling for confounders, including obesity.
Conclusions:
- The Tae-Eum (TE) constitutional type is a significant risk factor for type 2 diabetes.
- The association between the TE type and type 2 diabetes risk is independent of obesity levels.
- Findings support the clinical relevance of SCT in predicting diabetes risk.
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