ArticleJournal of diabetes investigation2014
Predicting type 2 diabetes using Sasang constitutional medicine.
Article in Journal of diabetes investigation, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed.
- Resting Metabolic Rate for Diagnosing Tae-Eum Sasang Type and Unraveling the Mechanism of Type-Specific Obesity.Diagnostics (Basel, Switzerland) · 2023Article
- Sasang Constitution Type Combined with General Obesity May Act as a Risk Factor for Prediabetes Mellitus.Healthcare (Basel, Switzerland) · 2022Article
- Comparative gut microbiome analysis of the3 Biotech · 2020Article
- Nutrikinetic study of fermented soybean paste (Nutrition research and practice · 2020Article
- Analysis of Sasang Constitutional Medicine as an Optimal Preventive Care Strategy for Hemophilia Patients.BioMed research international · 2020Article
- Traditional Korean Medicine-Based Forest Therapy Programs Providing Electrophysiological Benefits for Elderly Individuals.International journal of environmental research and public health · 2019Article
- Metabolite Markers for Characterizing Sasang Constitution Type through GC-MS andEvidence-based complementary and alternative medicine : eCAM · 2019Article
- Biopsychological and pathophysiological features of Cold-Heat subgroup of Sasang typology with Sasang Digestive Function Inventory, Sasang Personality Questionnaire and Body Mass Index.Integrative medicine research · 2018Article
- A Pilot Study on Characteristics of Metabolomics and Lipidomics according to Sasang Constitution.Evidence-based complementary and alternative medicine : eCAM · 2018Article
- Personalized acupuncture treatment with Sasang typology.Integrative medicine research · 2017Review
- Sasang constitutional types for the risk prediction of metabolic syndrome: a 14-year longitudinal prospective cohort study.BMC complementary and alternative medicine · 2017Article
- Pharmacognostic outlooks on medical herbs of Sasang typology.Integrative medicine research · 2017Review
- Body composition and personality traits in so-Yang type males.BMC complementary and alternative medicine · 2017Article
- Energy metabolism and whole-exome sequencing-based analysis of Sasang constitution: a pilot study.Integrative medicine research · 2017Article
- Cohort Profile: The Korean Genome and Epidemiology Study (KoGES) Consortium.International journal of epidemiology · 2017Article
- Modification of the Integrated Sasang Constitutional Diagnostic Model.Evidence-based complementary and alternative medicine : eCAM · 2017Article
- Body temperature regulation: Sasang typology-based perspective.Integrative medicine research · 2015Review
- Sasang constitution affects the prevalence of functional dyspepsia.BMC complementary and alternative medicine · 2015Article
- Serum Levels of Stress Hormones and Oxidative Stress Biomarkers Differ according to Sasang Constitutional Type.Evidence-based complementary and alternative medicine : eCAM · 2015Article
- Predicting type 2 diabetes using Sasang constitutional medicine.Journal of diabetes investigation · 2014Article
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Authors and funding
5 authors.
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Abstract
AIMS/
introductionSasang constitutional medicine (SCM) has existed in traditional Korean medicine for more than 100 years. SCM consists of four different types: So-Eum (SE), So-Yang (SY), Tae-Eum (TE) and Tae-Yang (TY). It is of great importance that the Sasang constitution type (SCT) be evaluated accurately and recognized by medical communities. MATERIALS AND
methodsFrom the Ansung-Ansan prospective cohort study, 10,038 participants were recruited from the years 2001-2002. Of 10,038 original participants, 2,460 participants underwent SCT evaluation. The Cox proportional hazard model was used to predict diabetes during the 10-year follow-up period.
resultsDuring 10 years of follow up (22,007 person-years), 472 incidence cases (215/10,000 Incidence Density) of type 2 diabetes mellitus were documented. We identified that the TE group was significantly older, more obese, and had higher blood pressure, glucose metabolic values and lipid profiles levels. Relative risk (RR) and 95% confident intervals (CI) for type 2 diabetes were 1.696 (95% CI 1.204-2.39, P = 0.003) for TE when compared with the SE type. After controlling all potential confounders, the Cox proportional hazard model showed that RR was 1.635 (95% CI 1.111-2.406) in non-obese (body mass index <25) TE, and RR was 1.725 (95% CI 1.213-2.452) in obese (body mass index ≥25) TE when compared with the SE type. We did not find any differences when comparing SE and SY types. The findings shows that TE is a higher risk factor for type 2 Diabetes, independent of obesity level.
conclusionsThe present study suggests that the TE type, independent of obesity level, is a strong risk factor of type 2 diabetes.
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